volatility and volatility models with r



Luc Bauwens Handbook of Volatility Models and Their Applications Luc Bauwens Handbook of Volatility Models and Their Applications Новинка

Luc Bauwens Handbook of Volatility Models and Their Applications

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A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility: Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets Other Models and Methods presents alternative approaches, such as multiplicative error models, nonparametric and semi-parametric models, and copula-based models of (co)volatilities Realized Volatility explores issues of the measurement of volatility by realized variances and covariances, guiding readers on how to successfully model and forecast these measures Handbook of Volatility Models and Their Applications is an essential reference for academics and practitioners in finance, business, and econometrics who work with volatility models in their everyday work. The book also serves as a supplement for courses on risk management and volatility at the upper-undergraduate and graduate levels.
Peter Carr Advanced Equity Derivatives. Volatility and Correlation Peter Carr Advanced Equity Derivatives. Volatility and Correlation Новинка

Peter Carr Advanced Equity Derivatives. Volatility and Correlation

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In Advanced Equity Derivatives: Volatility and Correlation, Sébastien Bossu reviews and explains the advanced concepts used for pricing and hedging equity exotic derivatives. Designed for financial modelers, option traders and sophisticated investors, the content covers the most important theoretical and practical extensions of the Black-Scholes model. Each chapter includes numerous illustrations and a short selection of problems, covering key topics such as implied volatility surface models, pricing with implied distributions, local volatility models, volatility derivatives, correlation measures, correlation trading, local correlation models and stochastic correlation. The author has a dual professional and academic background, making Advanced Equity Derivatives: Volatility and Correlation the perfect reference for quantitative researchers and mathematically savvy finance professionals looking to acquire an in-depth understanding of equity exotic derivatives pricing and hedging.
Frank Fabozzi J. Financial Models with Levy Processes and Volatility Clustering Frank Fabozzi J. Financial Models with Levy Processes and Volatility Clustering Новинка

Frank Fabozzi J. Financial Models with Levy Processes and Volatility Clustering

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An in-depth guide to understanding probability distributions and financial modeling for the purposes of investment management In Financial Models with Lévy Processes and Volatility Clustering, the expert author team provides a framework to model the behavior of stock returns in both a univariate and a multivariate setting, providing you with practical applications to option pricing and portfolio management. They also explain the reasons for working with non-normal distribution in financial modeling and the best methodologies for employing it. The book's framework includes the basics of probability distributions and explains the alpha-stable distribution and the tempered stable distribution. The authors also explore discrete time option pricing models, beginning with the classical normal model with volatility clustering to more recent models that consider both volatility clustering and heavy tails. Reviews the basics of probability distributions Analyzes a continuous time option pricing model (the so-called exponential Lévy model) Defines a discrete time model with volatility clustering and how to price options using Monte Carlo methods Studies two multivariate settings that are suitable to explain joint extreme events Financial Models with Lévy Processes and Volatility Clustering is a thorough guide to classical probability distribution methods and brand new methodologies for financial modeling.
Jesper Boer Modeling Volatility in Financial Time Series Jesper Boer Modeling Volatility in Financial Time Series Новинка

Jesper Boer Modeling Volatility in Financial Time Series

Volatility is one of the biggest topics in finance today. It is the most important measure of risk and plays a crucial role in the valuation of derivatives. Volatility estimations are therefore essential in most financial decisions. However, it has been proven extremely difficult to model and forecast the volatility one witnesses in time series. This book compares two volatility models, their properties and their performances. The models compared are the GARCH model and the Markov Switching Multifractal model, two models that rely on completely different assumptions. This book assesses how both models perform in replicating financial time series. The model parameters are estimated on historical returns and option prices. The results are used to produce volatility forecasts which in their turn are evaluated in a Value at Risk setup. The analysis done shows some unexpected conclusions and promising leads for further research. This book provides a step by step manual on how to estimate various volatility models and how resulting estimates can be used for derivative pricing. This is extremely valuable for practitioners and others interested in modeling volatility in financial markets.
Euan Sinclair Volatility Trading Euan Sinclair Volatility Trading Новинка

Euan Sinclair Volatility Trading

4720.88 руб. или Купить в рассрочку!
Popular guide to options pricing and position sizing for quant traders In this second edition of this bestselling book, Sinclair offers a quantitative model for measuring volatility in order to gain an edge in everyday option trading endeavors. With an accessible, straightforward approach, he guides traders through the basics of option pricing, volatility measurement, hedging, money management, and trade evaluation. This new edition includes new chapters on the dynamics of realized and implied volatilities, trading the variance premium and using options to trade special situations in equity markets. Filled with volatility models including brand new option trades for quant traders Options trader Euan Sinclair specializes in the design and implementation of quantitative trading strategies Volatility Trading, Second Edition + Website outlines strategies for defining a true edge in the market using options to trade volatility profitably.
Julijana Angelovska VaR based on SMA, EWMA and GARCH(1,1) Volatility models Julijana Angelovska VaR based on SMA, EWMA and GARCH(1,1) Volatility models Новинка

Julijana Angelovska VaR based on SMA, EWMA and GARCH(1,1) Volatility models

Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0,9, 0,94 (proposed by Risk Metrics) and 0,96 as smoothing constant λ and different windows of 50, 74 and 100 days, and GARCH(1,1). VaR models are calculated for a one-day holding period at 95% and 99% coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk.
Emanuel Derman The Volatility Smile Emanuel Derman The Volatility Smile Новинка

Emanuel Derman The Volatility Smile

5350.33 руб. или Купить в рассрочку!
The Volatility Smile The Black-Scholes-Merton option model was the greatest innovation of 20th century finance, and remains the most widely applied theory in all of finance. Despite this success, the model is fundamentally at odds with the observed behavior of option markets: a graph of implied volatilities against strike will typically display a curve or skew, which practitioners refer to as the smile, and which the model cannot explain. Option valuation is not a solved problem, and the past forty years have witnessed an abundance of new models that try to reconcile theory with markets. The Volatility Smile presents a unified treatment of the Black-Scholes-Merton model and the more advanced models that have replaced it. It is also a book about the principles of financial valuation and how to apply them. Celebrated author and quant Emanuel Derman and Michael B. Miller explain not just the mathematics but the ideas behind the models. By examining the foundations, the implementation, and the pros and cons of various models, and by carefully exploring their derivations and their assumptions, readers will learn not only how to handle the volatility smile but how to evaluate and build their own financial models. Topics covered include: The principles of valuation Static and dynamic replication The Black-Scholes-Merton model Hedging strategies Transaction costs The behavior of the volatility smile Implied distributions Local volatility models Stochastic volatility models Jump-diffusion models The first half of the book, Chapters 1 through 13, can serve as a standalone textbook for a course on option valuation and the Black-Scholes-Merton model, presenting the principles of financial modeling, several derivations of the model, and a detailed discussion of how it is used in practice. The second half focuses on the behavior of the volatility smile, and, in conjunction with the first half, can be used for as the basis for a more advanced course.
Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew Новинка

Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew

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A new, more accurate take on the classical approach to volatility evaluation Inside Volatility Filtering presents a new approach to volatility estimation, using financial econometrics based on a more accurate estimation of the hidden state. Based on the idea of «filtering», this book lays out a two-step framework involving a Chapman-Kolmogorov prior distribution followed by Bayesian posterior distribution to develop a robust estimation based on all available information. This new second edition includes guidance toward basing estimations on historic option prices instead of stocks, as well as Wiener Chaos Expansions and other spectral approaches. The author's statistical trading strategy has been expanded with more in-depth discussion, and the companion website offers new topical insight, additional models, and extra charts that delve into the profitability of applied model calibration. You'll find a more precise approach to the classical time series and financial econometrics evaluation, with expert advice on turning data into profit. Financial markets do not always behave according to a normal bell curve. Skewness creates uncertainty and surprises, and tarnishes trading performance, but it's not going away. This book shows traders how to work with skewness: how to predict it, estimate its impact, and determine whether the data is presenting a warning to stay away or an opportunity for profit. Base volatility estimations on more accurate data Integrate past observation with Bayesian probability Exploit posterior distribution of the hidden state for optimal estimation Boost trade profitability by utilizing «skewness» opportunities Wall Street is constantly searching for volatility assessment methods that will make their models more accurate, but precise handling of skewness is the key to true accuracy. Inside Volatility Filtering shows you a better way to approach non-normal distributions for more accurate volatility estimation.
Antonio Castagna FX Options and Smile Risk Antonio Castagna FX Options and Smile Risk Новинка

Antonio Castagna FX Options and Smile Risk

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The FX options market represents one of the most liquid and strongly competitive markets in the world, and features many technical subtleties that can seriously harm the uninformed and unaware trader. This book is a unique guide to running an FX options book from the market maker perspective. Striking a balance between mathematical rigour and market practice and written by experienced practitioner Antonio Castagna, the book shows readers how to correctly build an entire volatility surface from the market prices of the main structures. Starting with the basic conventions related to the main FX deals and the basic traded structures of FX options, the book gradually introduces the main tools to cope with the FX volatility risk. It then goes on to review the main concepts of option pricing theory and their application within a Black-Scholes economy and a stochastic volatility environment. The book also introduces models that can be implemented to price and manage FX options before examining the effects of volatility on the profits and losses arising from the hedging activity. Coverage includes: how the Black-Scholes model is used in professional trading activity the most suitable stochastic volatility models sources of profit and loss from the Delta and volatility hedging activity fundamental concepts of smile hedging major market approaches and variations of the Vanna-Volga method volatility-related Greeks in the Black-Scholes model pricing of plain vanilla options, digital options, barrier options and the less well known exotic options tools for monitoring the main risks of an FX options’ book The book is accompanied by a CD Rom featuring models in VBA, demonstrating many of the approaches described in the book.
Gregory Vainberg Option Pricing Models and Volatility Using Excel-VBA Gregory Vainberg Option Pricing Models and Volatility Using Excel-VBA Новинка

Gregory Vainberg Option Pricing Models and Volatility Using Excel-VBA

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This comprehensive guide offers traders, quants, and students the tools and techniques for using advanced models for pricing options. The accompanying website includes data files, such as options prices, stock prices, or index prices, as well as all of the codes needed to use the option and volatility models described in the book. Praise for Option Pricing Models & Volatility Using Excel-VBA «Excel is already a great pedagogical tool for teaching option valuation and risk management. But the VBA routines in this book elevate Excel to an industrial-strength financial engineering toolbox. I have no doubt that it will become hugely successful as a reference for option traders and risk managers.» —Peter Christoffersen, Associate Professor of Finance, Desautels Faculty of Management, McGill University «This book is filled with methodology and techniques on how to implement option pricing and volatility models in VBA. The book takes an in-depth look into how to implement the Heston and Heston and Nandi models and includes an entire chapter on parameter estimation, but this is just the tip of the iceberg. Everyone interested in derivatives should have this book in their personal library.» —Espen Gaarder Haug, option trader, philosopher, and author of Derivatives Models on Models «I am impressed. This is an important book because it is the first book to cover the modern generation of option models, including stochastic volatility and GARCH.» —Steven L. Heston, Assistant Professor of Finance, R.H. Smith School of Business, University of Maryland
Kirk Northington Volatility-Based Technical Analysis. Strategies for Trading the Invisible Kirk Northington Volatility-Based Technical Analysis. Strategies for Trading the Invisible Новинка

Kirk Northington Volatility-Based Technical Analysis. Strategies for Trading the Invisible

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A framework for creating volatility-based technical analysis and trading it for profit Volatility-Based Technical Analysis bridges the advantage gap between resource rich institutions and individual traders. It is a no-calculus, plain-English text that reveals original, highly technical, mathematical-based volatility indicators, complete with MetaStock® and TradeStation® code. With this in hand, any trader can «trade the invisible» by seeing a hidden mathematical structure on the price chart. Author Kirk Northington reveals his proprietary volatility indicators that serve as a market early warning system. Northington extensively teaches you how to build your own indicators, test them, and incorporate your original components into your specific trading methods. Walks traders through the mathematical techniques needed to create indicators that fit their own style Illustrates volatility-based entries and exits with over 170 descriptive chart examples Introduces two new concepts in technical analysis: Volatility Shift and PIV Written with the serious trader in mind, Volatility-Based Technical Analysis has what you need to successfully trade today's institutionally dominated markets.
Tom Gentile The Volatility Course Tom Gentile The Volatility Course Новинка

Tom Gentile The Volatility Course

2198.98 руб. или Купить в рассрочку!
It takes a special set of trading skills to thrive in today's intensely volatile markets, where point swings of plus or minus 200 points can occur on a weekly, sometimes daily, basis. The Volatility Course arms stock and options traders with those skills. George Fontanills and Tom Gentile provide readers with a deeper understanding of market volatility and the forces that drive it. They develop a comprehensive road map detailing how to identify its ups and downs. And they describe proven strategies and tools for quantifying volatility and confidently developing plans tailored to virtually any given market condition. The companion workbook provides step-by-step exercises to help you master the strategies outlined in The Volatility Course before putting them into action in the markets.
Kelkay Belayneh Debasu Modeling of Cereals and Pulse Seed Prices. Using GARCH Family Models Kelkay Belayneh Debasu Modeling of Cereals and Pulse Seed Prices. Using GARCH Family Models Новинка

Kelkay Belayneh Debasu Modeling of Cereals and Pulse Seed Prices. Using GARCH Family Models

The price volatility of agricultural crop products has increased in the last decade. The aim of this work is to identify and analyze the determinant factors of average monthly price volatility of cereals (wheat and barley) and pulses (bean and pea) in Amhara National Regional State over the period of December 2001 to June 2012 GC using GARCH family models. Among such models entertained in this study, ARMA(1,0)-EGARCH(3,3) with GED for wheat, ARMA(4,4)-EGARCH(2,3) with GED for bean and ARMA(1,0)-EGARCH(1,2) with student-t for pea were chosen to be the best fit models. The monthly price return series of barley exhibited no ARCH effects, and thus, was not modeled using (G)ARCH family models.
Alireza Javaheri Inside Volatility Arbitrage. The Secrets of Skewness Alireza Javaheri Inside Volatility Arbitrage. The Secrets of Skewness Новинка

Alireza Javaheri Inside Volatility Arbitrage. The Secrets of Skewness

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Today?s traders want to know when volatility is a sign that the sky is falling (and they should stay out of the market), and when it is a sign of a possible trading opportunity. Inside Volatility Arbitrage can help them do this. Author and financial expert Alireza Javaheri uses the classic approach to evaluating volatility – time series and financial econometrics – in a way that he believes is superior to methods presently used by market participants. He also suggests that there may be «skewness» trading opportunities that can be used to trade the markets more profitably. Filled with in-depth insight and expert advice, Inside Volatility Arbitrage will help traders discover when «skewness» may present valuable trading opportunities as well as why it can be so profitable.
Larry Shover Trading Options in Turbulent Markets. Master Uncertainty through Active Volatility Management Larry Shover Trading Options in Turbulent Markets. Master Uncertainty through Active Volatility Management Новинка

Larry Shover Trading Options in Turbulent Markets. Master Uncertainty through Active Volatility Management

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Top options expert Larry Shover returns to discuss how to interpret, and profit from, market volatility Trading Options in Turbulent Markets, Second Edition skillfully explains the intricacies of options volatility and shows you how to use options to cope, and profit from, market turbulence. Throughout this new edition, options expert Larry Shover reveals how to use historical volatility to predict future volatility for a security and addresses how you can utilize that knowledge to make better trading decisions. Along the way, he also defines the so-called Greeks—delta, vega, theta, and gamma—and explains what drives their values and their relationship to historic and implied volatility. Shover then provides effective strategies for trading options contracts in uncertain times, addressing the decision-making process and how to trade objectively in the face of unpredictable and irrational market moves. Includes a new chapter of the VIX, more advanced material on volatility suitable for institutional or intermediate options trader, and additional volatility-based strategies Answers complex questions such as: How does a trader know when to tolerate risk and How does a successful trader respond to adversity? Provides a different perspective on a variety of options strategies, including covered calls, naked and married puts, collars, straddles, vertical spreads, calendar spreads, butterflies, condors, and more As volatility becomes a greater focus of traders and investors, Trading Options in Turbulent Markets, Second Edition will become an important resource for in-depth insights, practical advice, and profitable strategies.
Wetterau Daniel Financial Modelling. Theory, Implementation and Practice with MATLAB Source Wetterau Daniel Financial Modelling. Theory, Implementation and Practice with MATLAB Source Новинка

Wetterau Daniel Financial Modelling. Theory, Implementation and Practice with MATLAB Source

10178.14 руб. или Купить в рассрочку!
Financial modelling Theory, Implementation and Practice with Matlab Source Jörg Kienitz and Daniel Wetterau Financial Modelling – Theory, Implementation and Practice with MATLAB Source is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi-) analytic and simulation techniques, and calibration even for exotic options. The book is split into three parts. The first part considers financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk-neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Lévy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor market model. Source code used for producing the results and analysing the models is provided on the author's dedicated website, http://www.mathworks.de/matlabcentral/fileexchange/authors/246981.
Iain Clark J. Foreign Exchange Option Pricing. A Practitioner's Guide Iain Clark J. Foreign Exchange Option Pricing. A Practitioner's Guide Новинка

Iain Clark J. Foreign Exchange Option Pricing. A Practitioner's Guide

This book covers foreign exchange options from the point of view of the finance practitioner. It contains everything a quant or trader working in a bank or hedge fund would need to know about the mathematics of foreign exchange—not just the theoretical mathematics covered in other books but also comprehensive coverage of implementation, pricing and calibration. With content developed with input from traders and with examples using real-world data, this book introduces many of the more commonly requested products from FX options trading desks, together with the models that capture the risk characteristics necessary to price these products accurately. Crucially, this book describes the numerical methods required for calibration of these models – an area often neglected in the literature, which is nevertheless of paramount importance in practice. Thorough treatment is given in one unified text to the following features: Correct market conventions for FX volatility surface construction Adjustment for settlement and delayed delivery of options Pricing of vanillas and barrier options under the volatility smile Barrier bending for limiting barrier discontinuity risk near expiry Industry strength partial differential equations in one and several spatial variables using finite differences on nonuniform grids Fourier transform methods for pricing European options using characteristic functions Stochastic and local volatility models, and a mixed stochastic/local volatility model Three-factor long-dated FX model Numerical calibration techniques for all the models in this work The augmented state variable approach for pricing strongly path-dependent options using either partial differential equations or Monte Carlo simulation Connecting mathematically rigorous theory with practice, this is the essential guide to foreign exchange options in the context of the real financial marketplace.
Pascal Debus Application of Stochastic Volatility Models in Option Pricing Pascal Debus Application of Stochastic Volatility Models in Option Pricing Новинка

Pascal Debus Application of Stochastic Volatility Models in Option Pricing

Bachelorarbeit aus dem Jahr 2010 im Fachbereich BWL - Investition und Finanzierung, Note: 1,2, EBS Universität für Wirtschaft und Recht, Sprache: Deutsch, Abstract: The Black-Scholes (or Black-Scholes-Merton) Model has become the standard model for the pricing of options and can surely be seen as one of the main reasons for the growth of the derivative market after the model´s introduction in 1973. As a consequence, the inventors of the model, Robert Merton, Myron Scholes, and without doubt also Fischer Black, if he had not died in 1995, were awarded the Nobel prize for economics in 1997.The model, however, makes some strict assumptions that must hold true for accurate pricing of an option. The most important one is constant volatility, whereas empirical evidence shows that volatility is heteroscedastic. This leads to increased mispricing of options especially in the case of out of the money options as well as to a phenomenon known as volatility smile. As a consequence, researchers introduced various approaches to expand the model by allowing the volatility to be non-constant and to follow a sto-chastic process. It is the objective of this thesis to investigate if the pricing accuracy of the Black-Scholes model can be significantly improved by applying a stochastic volatility model.
Euan Sinclair Volatility Trading Euan Sinclair Volatility Trading Новинка

Euan Sinclair Volatility Trading

4900.58 руб. или Купить в рассрочку!
In Volatility Trading, Sinclair offers you a quantitative model for measuring volatility in order to gain an edge in your everyday option trading endeavors. With an accessible, straightforward approach. He guides traders through the basics of option pricing, volatility measurement, hedging, money management, and trade evaluation. In addition, Sinclair explains the often-overlooked psychological aspects of trading, revealing both how behavioral psychology can create market conditions traders can take advantage of-and how it can lead them astray. Psychological biases, he asserts, are probably the drivers behind most sources of edge available to a volatility trader. Your goal, Sinclair explains, must be clearly defined and easily expressed-if you cannot explain it in one sentence, you probably aren't completely clear about what it is. The same applies to your statistical edge. If you do not know exactly what your edge is, you shouldn't trade. He shows how, in addition to the numerical evaluation of a potential trade, you should be able to identify and evaluate the reason why implied volatility is priced where it is, that is, why an edge exists. This means it is also necessary to be on top of recent news stories, sector trends, and behavioral psychology. Finally, Sinclair underscores why trades need to be sized correctly, which means that each trade is evaluated according to its projected return and risk in the overall context of your goals. As the author concludes, while we also need to pay attention to seemingly mundane things like having good execution software, a comfortable office, and getting enough sleep, it is knowledge that is the ultimate source of edge. So, all else being equal, the trader with the greater knowledge will be the more successful. This book, and its companion CD-ROM, will provide that knowledge. The CD-ROM includes spreadsheets designed to help you forecast volatility and evaluate trades together with simulation engines.
Marvin Arras Intervention and Foreign Exchange Volatility. New evidence from Developed and Emerging Countries Marvin Arras Intervention and Foreign Exchange Volatility. New evidence from Developed and Emerging Countries Новинка

Marvin Arras Intervention and Foreign Exchange Volatility. New evidence from Developed and Emerging Countries

Master's Thesis from the year 2017 in the subject Economics - Finance, grade: 2:1, Queen Mary University of London, language: English, abstract: This research explores the impact of foreign exchange rate interventions on the behaviour of exchange rate returns and their volatility. In 2017, monetary interventions are actual as they have never been before. However, they have been criticised for not being effective and existing empirical evidence is mixed. The present research applies models from the Garch framework, while using monthly data from 2001 to 2017 on the Usdeur, Gbpreur, Jpyeur and Inreur rate.The results indicate that monetary interventions have a higher impact on developed country currencies than on emerging markets currencies. In addition, evidence is found that the volatility increased after the financial crisis.
Eden Tate Shipanga The Effects of Exchange Rate Volatility on Exports in Namibia Eden Tate Shipanga The Effects of Exchange Rate Volatility on Exports in Namibia Новинка

Eden Tate Shipanga The Effects of Exchange Rate Volatility on Exports in Namibia

This piece of work try address the volatility impacts on export through an extenvsive analysis. The econometric analysis was employed to exploit the theory of cointegration, given the obvious non- stationarity of the time series. The study used Engle-Granger two step procedures. Three measures of exchange rate volatilities were used and produced mixed results. The mean adjusted relative change (V) as a measure of exchange rate volatility indicated positive and insignificant impact on real exports of Namibia. The moving average standard deviation (MASD) as a measure of exchange rate volatility produced a negative insignificant impact of exchange rate volatility on real exports of Namibia. The last measure of exchange rate volatility was the general autoregressive conditional heteroscedasticity (GARCH), which indicated a positive and significant impact of exchange rate volatility on Namibia's real exports. These results suggest that Namibia should start exploring possibility of macro-economic policy independence and be involved in the determination of exchange rate within the CMA framework.
Steven Heston L. The Heston Model and its Extensions in Matlab and C# Steven Heston L. The Heston Model and its Extensions in Matlab and C# Новинка

Steven Heston L. The Heston Model and its Extensions in Matlab and C#

8497.59 руб. или Купить в рассрочку!
Tap into the power of the most popular stochastic volatility model for pricing equity derivatives Since its introduction in 1993, the Heston model has become a popular model for pricing equity derivatives, and the most popular stochastic volatility model in financial engineering. This vital resource provides a thorough derivation of the original model, and includes the most important extensions and refinements that have allowed the model to produce option prices that are more accurate and volatility surfaces that better reflect market conditions. The book's material is drawn from research papers and many of the models covered and the computer codes are unavailable from other sources. The book is light on theory and instead highlights the implementation of the models. All of the models found here have been coded in Matlab and C#. This reliable resource offers an understanding of how the original model was derived from Ricatti equations, and shows how to implement implied and local volatility, Fourier methods applied to the model, numerical integration schemes, parameter estimation, simulation schemes, American options, the Heston model with time-dependent parameters, finite difference methods for the Heston PDE, the Greeks, and the double Heston model. A groundbreaking book dedicated to the exploration of the Heston model—a popular model for pricing equity derivatives Includes a companion website, which explores the Heston model and its extensions all coded in Matlab and C# Written by Fabrice Douglas Rouah a quantitative analyst who specializes in financial modeling for derivatives for pricing and risk management Engaging and informative, this is the first book to deal exclusively with the Heston Model and includes code in Matlab and C# for pricing under the model, as well as code for parameter estimation, simulation, finite difference methods, American options, and more.
Stefano Iacus M. Option Pricing and Estimation of Financial Models with R Stefano Iacus M. Option Pricing and Estimation of Financial Models with R Новинка

Stefano Iacus M. Option Pricing and Estimation of Financial Models with R

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Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.
Jim Gatheral The Volatility Surface. A Practitioner's Guide Jim Gatheral The Volatility Surface. A Practitioner's Guide Новинка

Jim Gatheral The Volatility Surface. A Practitioner's Guide

5287.39 руб. или Купить в рассрочку!
Praise for The Volatility Surface «I'm thrilled by the appearance of Jim Gatheral's new book The Volatility Surface. The literature on stochastic volatility is vast, but difficult to penetrate and use. Gatheral's book, by contrast, is accessible and practical. It successfully charts a middle ground between specific examples and general models–achieving remarkable clarity without giving up sophistication, depth, or breadth.» –Robert V. Kohn, Professor of Mathematics and Chair, Mathematical Finance Committee, Courant Institute of Mathematical Sciences, New York University «Concise yet comprehensive, equally attentive to both theory and phenomena, this book provides an unsurpassed account of the peculiarities of the implied volatility surface, its consequences for pricing and hedging, and the theories that struggle to explain it.» –Emanuel Derman, author of My Life as a Quant «Jim Gatheral is the wiliest practitioner in the business. This very fine book is an outgrowth of the lecture notes prepared for one of the most popular classes at NYU's esteemed Courant Institute. The topics covered are at the forefront of research in mathematical finance and the author's treatment of them is simply the best available in this form.» –Peter Carr, PhD, head of Quantitative Financial Research, Bloomberg LP Director of the Masters Program in Mathematical Finance, New York University «Jim Gatheral is an acknowledged master of advanced modeling for derivatives. In The Volatility Surface he reveals the secrets of dealing with the most important but most elusive of financial quantities, volatility.» –Paul Wilmott, author and mathematician «As a teacher in the field of mathematical finance, I welcome Jim Gatheral's book as a significant development. Written by a Wall Street practitioner with extensive market and teaching experience, The Volatility Surface gives students access to a level of knowledge on derivatives which was not previously available. I strongly recommend it.» –Marco Avellaneda, Director, Division of Mathematical Finance Courant Institute, New York University «Jim Gatheral could not have written a better book.» –Bruno Dupire, winner of the 2006 Wilmott Cutting Edge Research Award Quantitative Research, Bloomberg LP
David Rwanyamugabo, Stephen Mugabi The Analysis of the causes of food price increase and policy options to enhance food security in Rwanda David Rwanyamugabo, Stephen Mugabi The Analysis of the causes of food price increase and policy options to enhance food security in Rwanda Новинка

David Rwanyamugabo, Stephen Mugabi The Analysis of the causes of food price increase and policy options to enhance food security in Rwanda

Bachelor Thesis from the year 2018 in the subject Economics - Other, University of Rwanda (college of Business and Economics), course: Bsc.Economics, language: English, abstract: Market is the main arbiter of how the available food is distributed both within and between countries. Food price volatility informs consumers and price analysts and availability of food in the region. Food price surges reduce purchasing power of households that are weekly linked to markets and remain obstacle in the way to feed the poor adequately. thus, food price surges lead poor people to limit their food consumption and shift to even less balanced diets, with harmful effects on health in short and long run.The research found out that prices escalated from 2008-2015 and the major factors gearing food price volatility is said to be caused by a number of factors such as climatic changes, population explosion, Development of tourism which increased aggregate demand and joining world market.In the light of the government of Rwanda efforts are aimed to ensure food security to its population, food price volatility could capture the attention of the government of Rwanda, therefore food price policies should be oriented to stabilization of price of food commodities which price volatility granger cause price volatility in other food commodity prices.
ALDO TARANTO Modelling the Nature of Close-out Netting on Bank Portfolios ALDO TARANTO Modelling the Nature of Close-out Netting on Bank Portfolios Новинка

ALDO TARANTO Modelling the Nature of Close-out Netting on Bank Portfolios

The stochastic volatility of daily foreign exchange (FX) derivatives poses a number of risks for the international banking community. Settlement risk, liquidity risk and capital adequacy are just a few immediate concerns that arise from such volatility. This book examines the impact of close-out netting on minimising the stochastic volatility of inter- bank FX derivatives. The problem with close-out netting is that although it is a simple formula of taking the differences between two banks at one point in time, it is the stochastic and volatile nature of FX rates that makes measuring the full impact of netting difficult. Through Monte Carlo simulation of the resulting fitted GARCH models, we generate the distributions -with and without close- out netting. The findings of this book are interesting, showing that close-out netting is far more than just a simple mathematical process. Netting surely does reduce each bank’s exposure to FX volatility, however, its multivariate nature reveals some important results for banking risk research and indeed many financial analysts.
Jraifi Abdelilah Numerical Analysis Of Stochastic Volatility Jump Diffusion Models Jraifi Abdelilah Numerical Analysis Of Stochastic Volatility Jump Diffusion Models Новинка

Jraifi Abdelilah Numerical Analysis Of Stochastic Volatility Jump Diffusion Models

In the modern economic world, the options contracts are used because they allow to hedge against the vagaries and risks refers to fluctuations in the prices of the underlying assets. The determination of the price of these contracts is of great importance for investors.We are interested in problems of options pricing, actually the European and Quanto options on a financial asset. The price of that asset is modeled by a multi-dimentional jump diffusion with stochastic volatility. Otherwise, the first model considers the volatility as a continuous process and the second model considers it as a jump process. Finally in the 3rd model, the underlying asset is without jump and volatility follows a model CEV without jump. This model allow better to take into account some phenomena observed in the markets. We develop numerical methods that determine the values of prices for these options. We first write the model as an integro-differential stochastic equations system "EIDS", of which we study existence and unicity of solutions. Then we relate the resolution of PIDE to the computation of the option value.
George A. Zsidisin, Janet L. Hartley, Barbara Gaudenzi Managing Commodity Price Risk. A Supply Chain Perspective, Second Edition George A. Zsidisin, Janet L. Hartley, Barbara Gaudenzi Managing Commodity Price Risk. A Supply Chain Perspective, Second Edition Новинка

George A. Zsidisin, Janet L. Hartley, Barbara Gaudenzi Managing Commodity Price Risk. A Supply Chain Perspective, Second Edition

Almost every organization is exposed to financial risk stemming from commodity price volatility. Risk exposure may be direct, from the prices paid for raw materials transformed into products sold to customers, or indirect, from higher energy, transportation costs, and supplier commodity purchases. Managing Commodity Price Risk: A Supply Chain Perspective provides a range of approaches organizations can implement and adapt for assessing, forecasting, and managing commodity price volatility and reducing financial risk exposure associated with purchased goods and services. Understanding and managing commodity price risk is important for organizations and supply chain professionals due to the significant direct financial effects price volatility has on profitability, organizational cash flow, the ability to competitively price products, new product design, buyer-supplier relationships, and the negotiation process.
Kathrin Tiecke How to solve the Lack of Volatility in the standard MP model Kathrin Tiecke How to solve the Lack of Volatility in the standard MP model Новинка

Kathrin Tiecke How to solve the Lack of Volatility in the standard MP model

Research Paper (undergraduate) from the year 2009 in the subject Economics - Macro-economics, general, grade: 2,3, Humboldt-University of Berlin (Wirtschaftstheorie II (Makro)), course: Arbeitsmarktökonomik, language: English, abstract: The standard search and matching model (D. Mortensen and C.Pissarides,1994; Pissarides, 2000) has been recently challanged by many economists. The Mortensen-Pissarides (1994) model in general says that it takes time to match jobs and workers, which causes unemployment as an outcome of market frictions. The volatility of unemployment fluctuations in the model is not corresponding to the baseline calibration that R. Shimer (2005) has found for the US data. Many authors modified the model in order to solve this lack of volatility.First I introduce the Mortensen-Pissarides model to refer in the second part to the models parameters. Next, I present solutions found by Hall (2005) who solves the model via rigid wage setting and Hagedorn and Manovskii(2005) who provide a small surplus calibration to overcome the lack in volatility of the labor market variables. According to the so called "Shimer Puzzle" I will present shortly the findings of Gartner, Merkl and Rothe (2009), who calibrate the key labor market variables over the business cycle for the West-German labor market. Further I introduce Morensen and Nagypál (2007) publications on an amneded version of the model and a model with endogenous separations.
Adam Iqbal S. Volatility. Practical Options Theory Adam Iqbal S. Volatility. Practical Options Theory Новинка

Adam Iqbal S. Volatility. Practical Options Theory

5428.34 руб. или Купить в рассрочку!
Gain a deep, intuitive and technical understanding of practical options theory The main challenges in successful options trading are conceptual, not mathematical. Volatility: Practical Options Theory provides financial professionals, academics, students and others with an intuitive as well as technical understanding of both the basic and advanced ideas in options theory to a level that facilitates practical options trading. The approach taken in this book will prove particularly valuable to options traders and other practitioners tasked with making pricing and risk management decisions in an environment where time constraints mean that simplicity and intuition are of greater value than mathematical formalism. The most important areas of options theory, namely implied volatility, delta hedging, time value and the so-called options greeks are explored based on intuitive economic arguments alone before turning to formal models such as the seminal Black-Scholes-Merton model. The reader will understand how the model free approach and mathematical models are related to each other, their underlying theoretical assumptions and their implications to level that facilitates practical implementation. There are several excellent mathematical descriptions of options theory, but few focus on a translational approach to convert the theory into practice. This book emphasizes the translational aspect, while first building an intuitive, technical understanding that allows market makers, portfolio managers, investment managers, risk managers, and other traders to work more effectively within—and beyond—the bounds of everyday practice. Gain a deeper understanding of the assumptions underlying options theory Translate theoretical ideas into practice Develop a more accurate intuition for better time-constrained decision making This book allows its readers to gain more than a superficial understanding of the mechanisms at work in options markets. Volatility gives its readers the edge by providing a true bedrock foundation upon which practical knowledge becomes stronger.
Moshe Omer Variations in Risk Aversion Moshe Omer Variations in Risk Aversion Новинка

Moshe Omer Variations in Risk Aversion

In this paper recent techniques for recovering information implied by options market prices and realized returns are applied empirically to measure the risk aversion of investors in the Israeli stock market. We determine nonparametric volatility smile, densities and risk aversion functions from a ten years sample of daily option and stock market prices. Moreover, we construct a time series of the absolute risk aversion, and study its variation over time. We report decreasing and generally positive risk aversion function, which varies substantially over time and is negatively correlated with the ATM implied volatility.
Russell Rhoads Trading VIX Derivatives. Trading and Hedging Strategies Using VIX Futures, Options, and Exchange Traded Notes Russell Rhoads Trading VIX Derivatives. Trading and Hedging Strategies Using VIX Futures, Options, and Exchange Traded Notes Новинка

Russell Rhoads Trading VIX Derivatives. Trading and Hedging Strategies Using VIX Futures, Options, and Exchange Traded Notes

4720.88 руб. или Купить в рассрочку!
A guide to using the VIX to forecast and trade markets Known as the fear index, the VIX provides a snapshot of expectations about future stock market volatility and generally moves inversely to the overall stock market. Trading VIX Derivatives will show you how to use the Chicago Board Options Exchange's S&P 500 volatility index to gauge fear and greed in the market, use market volatility to your advantage, and hedge stock portfolios. Engaging and informative, this book skillfully explains the mechanics and strategies associated with trading VIX options, futures, exchange traded notes, and options on exchange traded notes. Many market participants look at the VIX to help understand market sentiment and predict turning points. With a slew of VIX index trading products now available, traders can use a variety of strategies to speculate outright on the direction of market volatility, but they can also utilize these products in conjunction with other instruments to create spread trades or hedge their overall risk. Reviews how to use the VIX to forecast market turning points, as well as reveals what it takes to implement trading strategies using VIX options, futures, and ETNs Accessible to active individual traders, but sufficiently sophisticated for professional traders Offers insights on how volatility-based strategies can be used to provide diversification and enhance returns Written by Russell Rhoads, a top instructor at the CBOE's Options Institute, this book reflects on the wide range of uses associated with the VIX and will interest anyone looking for profitable new forecasting and trading techniques.
Kent Moors The Vega Factor. Oil Volatility and the Next Global Crisis Kent Moors The Vega Factor. Oil Volatility and the Next Global Crisis Новинка

Kent Moors The Vega Factor. Oil Volatility and the Next Global Crisis

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How oil volatility is affecting the global political scene, and where the oil market is heading The world is rapidly moving towards an oil environment defined by volatility. The Vega Factor: Oil Volatility and the Next Global Crisis takes an in-depth look at the most important topics in the industry, including strategic risk, why traditional pricing mechanisms will no longer govern the market, and how the current government approaches have only worsened an already bad situation. Details the industry's players, including companies, traders, and governments Describes the priorities that will need to be revised, and the policies needed to achieve stability Explains how today's oil market is fundamentally different from the pre-crisis market Oil prices affect everyone. The Vega Factor explains the new international oil environment of increasing consolidation and decreasing competition, and reveals how consumers and investors can navigate price volatility and new government policies.
Euan Sinclair Option Trading. Pricing and Volatility Strategies and Techniques Euan Sinclair Option Trading. Pricing and Volatility Strategies and Techniques Новинка

Euan Sinclair Option Trading. Pricing and Volatility Strategies and Techniques

4406.16 руб. или Купить в рассрочку!
An A to Z options trading guide for the new millennium and the new economy Written by professional trader and quantitative analyst Euan Sinclair, Option Trading is a comprehensive guide to this discipline covering everything from historical background, contract types, and market structure to volatility measurement, forecasting, and hedging techniques. This comprehensive guide presents the detail and practical information that professional option traders need, whether they're using options to hedge, manage money, arbitrage, or engage in structured finance deals. It contains information essential to anyone in this field, including option pricing and price forecasting, the Greeks, implied volatility, volatility measurement and forecasting, and specific option strategies. Explains how to break down a typical position, and repair positions Other titles by Sinclair: Volatility Trading Addresses the various concerns of the professional options trader Option trading will continue to be an important part of the financial landscape. This book will show you how to make the most of these profitable products, no matter what the market does.
Dilip Kumar Long Memory in the Volatility of Indian Financial Market. An Empirical Analysis Based on Indian Data Dilip Kumar Long Memory in the Volatility of Indian Financial Market. An Empirical Analysis Based on Indian Data Новинка

Dilip Kumar Long Memory in the Volatility of Indian Financial Market. An Empirical Analysis Based on Indian Data

This book examines the long memory characteristics in the volatility of the Indian stock market, the Indian exchange rates and the Indian banking sector. This book also reviews the chain of approaches to estimate the long memory parameter. The long memory characteristics of the financial time series are widely studied and have implications for various economics and finance theories. The most important financial implication is related to the violation of the weak-form of market efficiency which encourages the traders, investors and portfolio managers to develop models for making predictions and to construct and implement speculative trading and investment strategies. In an efficient market, the price of an asset should follow a random walk process in which the price change is unaffected by ist lagged price changes and has no memory.
Dan Passarelli Trading Option Greeks. How Time, Volatility, and Other Pricing Factors Drive Profit Dan Passarelli Trading Option Greeks. How Time, Volatility, and Other Pricing Factors Drive Profit Новинка

Dan Passarelli Trading Option Greeks. How Time, Volatility, and Other Pricing Factors Drive Profit

4528.27 руб. или Купить в рассрочку!
Veteran options trader Dan Passarelli explains a new methodology for option trading and valuation. With an introduction to option basics as well as chapters on all types of spreads, put-call parity and synthetic options, trading volatility and studying volatility charts, and advanced option trading, Trading Option Greeks holds pertinent new information on how more accurate pricing can drive profit. Most options traders focus on strategies such as covered calls, vertical spreads, butterflies and condors, and so on. But traders often don't know how to use the «greeks»—the five factors that influence an option's price—to trade more effectively. The «greeks» (Delta, Gamma, Theta, Vega, Rho) are tools to measure minute changes in an option's price based on corresponding changes in: Interest rates Time to expiration Price changes in the underlying security Volatility Dividends Using the greeks can lead to more accurate pricing information that will alert an option trader to mispriced derivatives that can be exploited for profit. In straightforward language and making use of charts and examples, Passarelli explains how to use the greeks to be a better options trader.
Richard Lehman Options for Volatile Markets. Managing Volatility and Protecting Against Catastrophic Risk Richard Lehman Options for Volatile Markets. Managing Volatility and Protecting Against Catastrophic Risk Новинка

Richard Lehman Options for Volatile Markets. Managing Volatility and Protecting Against Catastrophic Risk

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Practical option strategies for the new post-crisis financial market Traditional buy-and-hold investing has been seriously challenged in the wake of the recent financial crisis. With economic and market uncertainty at a very high level, options are still the most effective tool available for managing volatility and downside risk, yet they remain widely underutilized by individuals and investment managers. In Options for Volatile Markets, Richard Lehman and Lawrence McMillan provide you with specific strategies to lower portfolio volatility, bulletproof your portfolio against any catastrophe, and tailor your investments to the precise level of risk you are comfortable with. While the core strategy of this new edition remains covered call writing, the authors expand into more comprehensive option strategies that offer deeper downside protection or even allow investors to capitalize on market or individual stock volatility. In addition, they discuss new offerings like weekly expirations and options on ETFs. For investors who are looking to capitalize on global investment opportunities but are fearful of lurking «black swans», this book shows how ETFs and options can be utilized to construct portfolios that are continuously protected against unforeseen calamities. A complete guide to the increased control and lowered risk covered call writing offers active investors and traders Addresses the changing investment environment and how to use options to succeed within it Explains how to use options with exchange-traded funds Understanding options is now more important than ever, and with Options for Volatile Markets as your guide, you'll quickly learn how to use them to protect your portfolio as well as improve its overall performance.
Rau-Goehring Matthias Implications of Learning Behaviour for Price Processes Rau-Goehring Matthias Implications of Learning Behaviour for Price Processes Новинка

Rau-Goehring Matthias Implications of Learning Behaviour for Price Processes

This book analyses the impact of learning behaviour in different economic environments. All cases are motivated by real world puzzles which cannot be explained by models with rational expectations: The size and persistence of exchange rate volatility, the possibility of financial market crashes without news, and progress in disinflation in transition countries despite limited credibility and conflicting monetary and fiscal policies. In particular, the author shows that adaptive learning behaviour adds additional dynamics to economic models, which are not present under the assumption of full rationality. Certain types of hysteresis in financial markets can be explained by relaxing the rational expectations assumption; credibility and transparency of economic policies matter even more when agents learn about their economic environment; and markets with incomplete and asymmetric information are inherently unstable and prone for market crashes.
Giles Jewitt FX Derivatives Trader School Giles Jewitt FX Derivatives Trader School Новинка

Giles Jewitt FX Derivatives Trader School

5979.78 руб. или Купить в рассрочку!
An essential guide to real-world derivatives trading FX Derivatives Trader School is the definitive guide to the technical and practical knowledge required for successful foreign exchange derivatives trading. Accessible in style and comprehensive in coverage, the book guides the reader through both basic and advanced derivative pricing and risk management topics. The basics of financial markets and trading are covered, plus practical derivatives mathematics is introduced with reference to real-world trading and risk management. Derivative contracts are covered in detail from a trader's perspective using risk profiles and pricing under different derivative models. Analysis is approached generically to enable new products to be understood by breaking the risk into fundamental building blocks. To assist with learning, the book also contains Excel practicals which will deepen understanding and help build useful skills. The book covers of a wide variety of topics, including: Derivative exposures within risk management Volatility surface construction Implied volatility and correlation risk Practical tips for students on trading internships and junior traders Market analysis techniques FX derivatives trading requires mathematical aptitude, risk management skill, and the ability to work quickly and accurately under pressure. There is a tremendous gap between option pricing formulas and the knowledge required to be a successful derivatives trader. FX Derivatives Trader School is unique in bridging that gap.
Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R Новинка

Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R

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Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. This edition has been extensively revised to include new topics on risk surfaces and probabilistic utility optimization as well as an extended introduction to R language. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Is accompanied by a supporting website featuring examples and case studies in R. Includes updated list of R packages for enabling the reader to replicate the results in the book. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.
Alisha Dhiri Influences on the Price of Bitcoin Alisha Dhiri Influences on the Price of Bitcoin Новинка

Alisha Dhiri Influences on the Price of Bitcoin

Master's Thesis from the year 2017 in the subject Economics - Finance, grade: 4.5, Lucerne University of Applied Sciences and Arts (Institute of Finance), course: Banking and Finance, language: English, abstract: Digital currencies are a critical part of the digitization process. Along with gaining momentum with investors, digital currencies are being prominently covered by the media. Bitcoin, in particular, has reached multiple peaks within the previous few years while showing a continuous upward trend in value. The research conducted in this paper aims to uncover the major influencers of the value of bitcoin. An approach using micro economic and macroeconomic models is used to categorize bitcoin as commodity or currency. Furthermore, five major digital currencies are also analyzed for correlation with the value of bitcoin and analysis of volatility in the exchange rates. Based on the evaluation criteria, it is found that bitcoin can be classified as commodity more than currency due to high influence of supply and demand rather than macroeconomic factors. Also, it can be concluded that the price of bitcoin is highly correlated with the digital currency Monero while the other currencies analyzed show a small to medium correlation based on the Pearson correlation coefficient. The paper also analyzes major changes in the historical timeline of bitcoin by the way of qualitative analysis of major events that may have caused volatility. In conclusion, a future outlook is provi...
Robert Messerle Conflicts, Demography and the Economic Volatility in Developing Countries Robert Messerle Conflicts, Demography and the Economic Volatility in Developing Countries Новинка

Robert Messerle Conflicts, Demography and the Economic Volatility in Developing Countries

Seminar paper from the year 2011 in the subject Economics - Economic Cycle and Growth, grade: 1,0, Humboldt-University of Berlin (Wirtschaftswissenschaftliche Fakultät), language: English, abstract: "In cities in six West African countries I saw similar young men everywhere--hordes of them. They were like loose molecules in a very unstable social fluid, a fluid that was clearly on the verge of igniting." (Kaplan, 1994)With his article "The Coming Anarchy" Kaplan ignited a discussion over the threat posed by youth cohorts to the civilized world. More than 15 years later there is still no clear evidence whether large populations of young men are a main factor in determining conflict risk or not. This paper now tries to connect the topic of demographically induced violence with another contemporary topic of development economics: growth volatility.
Jan Becker Big Data Investments. Effects of Internet Search Queries on German Stocks Jan Becker Big Data Investments. Effects of Internet Search Queries on German Stocks Новинка

Jan Becker Big Data Investments. Effects of Internet Search Queries on German Stocks

In recent years, the internet has developed very quickly and became a major source of information all over the planet. Many scientists have used search engine query data to forecast econometric time series like consumer confidence indicators, unemployment rates, retail sales, house price indices, stock prices, volatility of stocks and even commodity prices.Following the prior research this study analyzes the impact of internet search engine data on capital markets. Many authors already have contributed to index level data and most of them on the US market.This study adds to the existing literature on the German stock market. Two research questions are answered: First, whether an increase in search queries drives individual stock returns and second, whether queries affect the implied volatility of stock options.After controlling for seasonality, autocorrelation and general market risk, in the further analysis also the Price-to-Book valuation, one year performance and historical volatility are examined in interaction with internet search queries.
Carola Denise Fekter Portfolio Optimization under Transaction Costs Carola Denise Fekter Portfolio Optimization under Transaction Costs Новинка

Carola Denise Fekter Portfolio Optimization under Transaction Costs

The classical investment models like the famous Markowitz Model are one-period models based only on the expected growth rate and volatility of a stock, and do not make any assumptions on the exact behaviour or probability distributions of risky assets. It was a milestone of Robert C.Merton to consider an investment-consumption problem where risky assets follow a Geometric Brownian Motion. He derives that the investment decision is independent of the up and down movement of the stock, as it is optimal to always hold the same proportion of wealth invested in risky assets. As soon as the investor is faced with transaction costs however, he must match the benefits of improved diversification against the associated transaction costs. This book tries to outline several important theories and results concerning proportional transaction costs.
Yves Croissant Panel Data Econometrics with R Yves Croissant Panel Data Econometrics with R Новинка

Yves Croissant Panel Data Econometrics with R

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Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the software programming in R and host replicable material on the book’s accompanying website.
George E. P. Box Time Series Analysis. Forecasting and Control George E. P. Box Time Series Analysis. Forecasting and Control Новинка

George E. P. Box Time Series Analysis. Forecasting and Control

11174.05 руб. или Купить в рассрочку!
Praise for the Fourth Edition “The book follows faithfully the style of the original edition. The approach is heavily motivated by real-world time series, and by developing a complete approach to model building, estimation, forecasting and control." – Mathematical Reviews Bridging classical models and modern topics, the Fifth Edition of Time Series Analysis: Forecasting and Control maintains a balanced presentation of the tools for modeling and analyzing time series. Also describing the latest developments that have occurred in the field over the past decade through applications from areas such as business, finance, and engineering, the Fifth Edition continues to serve as one of the most influential and prominent works on the subject. Time Series Analysis: Forecasting and Control, Fifth Edition provides a clearly written exploration of the key methods for building, classifying, testing, and analyzing stochastic models for time series and describes their use in five important areas of application: forecasting; determining the transfer function of a system; modeling the effects of intervention events; developing multivariate dynamic models; and designing simple control schemes. Along with these classical uses, the new edition covers modern topics with new features that include: A redesigned chapter on multivariate time series analysis with an expanded treatment of Vector Autoregressive, or VAR models, along with a discussion of the analytical tools needed for modeling vector time series An expanded chapter on special topics covering unit root testing, time-varying volatility models such as ARCH and GARCH, nonlinear time series models, and long memory models Numerous examples drawn from finance, economics, engineering, and other related fields The use of the publicly available R software for graphical illustrations and numerical calculations along with scripts that demonstrate the use of R for model building and forecasting Updates to literature references throughout and new end-of-chapter exercises Streamlined chapter introductions and revisions that update and enhance the exposition Time Series Analysis: Forecasting and Control, Fifth Edition is a valuable real-world reference for researchers and practitioners in time series analysis, econometrics, finance, and related fields. The book is also an excellent textbook for beginning graduate-level courses in advanced statistics, mathematics, economics, finance, engineering, and physics.
Xekalaki Evdokia ARCH Models for Financial Applications Xekalaki Evdokia ARCH Models for Financial Applications Новинка

Xekalaki Evdokia ARCH Models for Financial Applications

9574.99 руб. или Купить в рассрочку!
Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both the theory and applications of ARCH models and provides the basic theoretical and empirical background, before proceeding to more advanced issues and applications. The Authors provide coverage of the recent developments in ARCH modelling which can be implemented using econometric software, model construction, fitting and forecasting and model evaluation and selection. Key Features: Presents a comprehensive overview of both the theory and the practical applications of ARCH, an increasingly popular financial modelling technique. Assumes no prior knowledge of ARCH models; the basics such as model construction are introduced, before proceeding to more complex applications such as value-at-risk, option pricing and model evaluation. Uses empirical examples to demonstrate how the recent developments in ARCH can be implemented. Provides step-by-step instructive examples, using econometric software, such as Econometric Views and the [email protected] module for the Ox software package, used in Estimating and Forecasting ARCH Models. Accompanied by a CD-ROM containing links to the software as well as the datasets used in the examples. Aimed at readers wishing to gain an aptitude in the applications of financial econometric modelling with a focus on practical implementation, via applications to real data and via examples worked with econometrics packages.
Dan Passarelli Trading Options Greeks. How Time, Volatility, and Other Pricing Factors Drive Profits Dan Passarelli Trading Options Greeks. How Time, Volatility, and Other Pricing Factors Drive Profits Новинка

Dan Passarelli Trading Options Greeks. How Time, Volatility, and Other Pricing Factors Drive Profits

4720.88 руб. или Купить в рассрочку!
A top options trader details a practical approach for pricing and trading options in any market condition The options market is always changing, and in order to keep up with it you need the greeks—delta, gamma, theta, vega, and rho—which are the best techniques for valuing options and executing trades regardless of market conditions. In the Second Edition of Trading Options Greeks, veteran options trader Dan Pasarelli puts these tools in perspective by offering fresh insights on option trading and valuation. An essential guide for both professional and aspiring traders, this book explains the greeks in a straightforward and accessible style. It skillfully shows how they can be used to facilitate trading strategies that seek to profit from volatility, time decay, or changes in interest rates. Along the way, it makes use of new charts and examples, and discusses how the proper application of the greeks can lead to more accurate pricing and trading as well as alert you to a range of other opportunities. Completely updated with new material Information on spreads, put-call parity and synthetic options, trading volatility, and advanced option trading is also included Explores how to exploit the dynamics of option pricing to improve your trading Having a comprehensive understanding of the greeks is essential to long-term options trading success. Trading Options Greeks, Second Edition shows you how to use the greeks to find better trades, effectively manage them, and ultimately, become more profitable.
Suresh Ramaiah A Course in Statistics with R Suresh Ramaiah A Course in Statistics with R Новинка

Suresh Ramaiah A Course in Statistics with R

7124.25 руб. или Купить в рассрочку!
Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models. Key features: Integrates R basics with statistical concepts Provides graphical presentations inclusive of mathematical expressions Aids understanding of limit theorems of probability with and without the simulation approach Presents detailed algorithmic development of statistical models from scratch Includes practical applications with over 50 data sets
Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R Новинка

Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R

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Introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Enables the reader to replicate the results in the book using R code. Is accompanied by a supporting website featuring examples and case studies in R. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.
M. Scheier William Pivots, Patterns, and Intraday Swing Trades. Derivatives Analysis with the E-mini and Russell Futures Contracts M. Scheier William Pivots, Patterns, and Intraday Swing Trades. Derivatives Analysis with the E-mini and Russell Futures Contracts Новинка

M. Scheier William Pivots, Patterns, and Intraday Swing Trades. Derivatives Analysis with the E-mini and Russell Futures Contracts

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An original approach to trend discovery and trade entry Initial forays into day trading stock index futures reveal a starkly different decision environment. There is no time to dwell on technical conditions. Intraday volatility in the stock indices is far more exaggerated than the daily bar charts of other markets, partly due to the extreme leverage, partly due to the intense attention. And positioning techniques that prove reliable in the action of the long-term trends in other instruments tend to fail in the countertrend reactions of the highly leveraged S&P futures contract within the short-term. For the informed trader, tremendous opportunities in these intraday trend swings can be captured. This book will show you how. Filled with detailed technical models, this reliable resource skillfully utilizes innovative methodologies for trend discovery and trade entry in mini-stock index futures markets. It offers a fresh approach to understanding and capitalizing on market volatility, allowing you to sort out the apparent chaos of the day trading environment through codified and recognizable trade entry setups. Highlights trading techniques that are anything but mechanical scalping Explores conceptual event models and their accompanying rules Contains tools by which major intraday swing trends can be identified quickly and often at the very turning points where they begin Explains the underlying order and structure to the markets based on the repetitive nature of human behavior Engaging and informative, this reliable resource will put you in a better position to excel in today's dynamic markets.
Richard Flavell R. Swaps and Other Derivatives Richard Flavell R. Swaps and Other Derivatives Новинка

Richard Flavell R. Swaps and Other Derivatives

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Richard Flavell has a strong theoretical perspective on swaps with considerable practical experience in the actual trading of these instruments. This rare combination makes this welcome updated second edition a useful reference work for market practitioners. —Satyajit Das, author of Swaps and Financial Derivatives Library and Traders and Guns & Money: Knowns and Unknowns in the Dazzling World of Derivatives Fully revised and updated from the first edition, Swaps and Other Derivatives, Second Edition, provides a practical explanation of the pricing and evaluation of swaps and interest rate derivatives. Based on the author’s extensive experience in derivatives and risk management, working as a financial engineer, consultant and trainer for a wide range of institutions across the world this book discusses in detail how many of the wide range of swaps and other derivatives, such as yield curve, index amortisers, inflation-linked, cross-market, volatility, diff and quanto diffs, are priced and hedged. It also describes the modelling of interest rate curves, and the derivation of implied discount factors from both interest rate swap curves, and cross-currency adjusted curves. There are detailed sections on the risk management of swap and option portfolios using both traditional approaches and also Value-at-Risk. Techniques are provided for the construction of dynamic and robust hedges, using ideas drawn from mathematical programming. This second edition has expanded sections on the credit derivatives market – its mechanics, how credit default swaps may be priced and hedged, and how default probabilities may be derived from a market strip. It also prices complex swaps with embedded options, such as range accruals, Bermudan swaptions and target accrual redemption notes, by constructing detailed numerical models such as interest rate trees and LIBOR-based simulation. There is also increased discussion around the modelling of volatility smiles and surfaces. The book is accompanied by a CD-ROM where all the models are replicated, enabling readers to implement the models in practice with the minimum of effort.
Sebastien Bossu An Introduction to Equity Derivatives. Theory and Practice Sebastien Bossu An Introduction to Equity Derivatives. Theory and Practice Новинка

Sebastien Bossu An Introduction to Equity Derivatives. Theory and Practice

4783.83 руб. или Купить в рассрочку!
Everything you need to get a grip on the complex world of derivatives Written by the internationally respected academic/finance professional author team of Sebastien Bossu and Philipe Henrotte, An Introduction to Equity Derivatives is the fully updated and expanded second edition of the popular Finance and Derivatives. It covers all of the fundamentals of quantitative finance clearly and concisely without going into unnecessary technical detail. Designed for both new practitioners and students, it requires no prior background in finance and features twelve chapters of gradually increasing difficulty, beginning with basic principles of interest rate and discounting, and ending with advanced concepts in derivatives, volatility trading, and exotic products. Each chapter includes numerous illustrations and exercises accompanied by the relevant financial theory. Topics covered include present value, arbitrage pricing, portfolio theory, derivates pricing, delta-hedging, the Black-Scholes model, and more. An excellent resource for finance professionals and investors looking to acquire an understanding of financial derivatives theory and practice Completely revised and updated with new chapters, including coverage of cutting-edge concepts in volatility trading and exotic products An accompanying website is available which contains additional resources including powerpoint slides and spreadsheets. Visit www.introeqd.com for details.
Cameletti Michela Spatial and Spatio-temporal Bayesian Models with R - INLA Cameletti Michela Spatial and Spatio-temporal Bayesian Models with R - INLA Новинка

Cameletti Michela Spatial and Spatio-temporal Bayesian Models with R - INLA

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Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio­-temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R-INLA, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations
Natoli Riccardo Information Effects on Inter-Day Volatility Natoli Riccardo Information Effects on Inter-Day Volatility Новинка

Natoli Riccardo Information Effects on Inter-Day Volatility

Risk management is an integral part of financial market management. The dynamic nature of the financial market, and financial variables in particular, is evidenced by the empirical data which demonstrates that financial variables typically have a non-normal distribution. The contention of this book is to demonstrate whether the normality assumption inherent in the value at risk (VaR) measurement leads to flawed risk measurement outcomes. To help determine this, a comparative analysis between the conventional VaR method and a moment corrections method (MCM) was undertaken to assess the information effects of inter-day volatility on selected financial variables. The book then concludes by recommending which of these two approaches is more suited to identifying and thus, controlling for, risk in the financial markets.
Ionut Florescu Handbook of High-Frequency Trading and Modeling in Finance Ionut Florescu Handbook of High-Frequency Trading and Modeling in Finance Новинка

Ionut Florescu Handbook of High-Frequency Trading and Modeling in Finance

11174.05 руб. или Купить в рассрочку!
Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a presentation of the dynamics and complexity of futures and derivatives markets as well as a portfolio optimization problem using quantum computers. Subsequently, the handbook addresses estimating complex model parameters using high-frequency data. Finally, the handbook focuses on the links between models used in financial markets and models used in other research areas such as geophysics, fossil records, and earthquake studies. The Handbook of High-Frequency Trading and Modeling in Finance also features: • Contributions by well-known experts within the academic, industrial, and regulatory fields • A well-structured outline on the various data analysis methodologies used to identify new trading opportunities • Newly emerging quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump processes for limit-order books and broader market indicators; and options markets • Practical applications using real-world data to help readers better understand the presented material The Handbook of High-Frequency Trading and Modeling in Finance is an excellent reference for professionals in the fields of business, applied statistics, econometrics, and financial engineering. The handbook is also a good supplement for graduate and MBA-level courses on quantitative finance, volatility, and financial econometrics. Ionut Florescu, PhD, is Research Associate Professor in Financial Engineering and Director of the Hanlon Financial Systems Laboratory at Stevens Institute of Technology. His research interests include stochastic volatility, stochastic partial differential equations, Monte Carlo Methods, and numerical methods for stochastic processes. Dr. Florescu is the author of Probability and Stochastic Processes, the coauthor of Handbook of Probability, and the coeditor of Handbook of Modeling High-Frequency Data in Finance, all published by Wiley. Maria C. Mariani, PhD, is Shigeko K. Chan Distinguished Professor in Mathematical Sciences and Chair of the Department of Mathematical Sciences at The University of Texas at El Paso. Her research interests include mathematical finance, applied mathematics, geophysics, nonlinear and stochastic partial differential equations and numerical methods. Dr. Mariani is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley. H. Eugene Stanley, PhD, is William Fairfield Warren Distinguished Professor at Boston University. Stanley is one of the key founders of the new interdisciplinary field of econophysics, and has an ISI Hirsch index H=128 based on more than 1200 papers. In 2004 he was elected to the National Academy of Sciences. Frederi G. Viens, PhD, is Professor of Statistics and Mathematics and Director of the Computational Finance Program at Purdue University. He holds more than two dozen local, regional, and national awards and he travels extensively on a world-wide basis to deliver lectures on his research interests, which range from quantitative finance to climate science and agricultural economics. A Fellow of the Institute of Mathematics Statistics, Dr. Viens is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley.
Dilip Kumar Long Memory in the Volatility of Indian Financial Market Dilip Kumar Long Memory in the Volatility of Indian Financial Market Новинка

Dilip Kumar Long Memory in the Volatility of Indian Financial Market

Professorial Dissertation from the year 2014 in the subject Business economics - Investment and Finance, grade: A, , language: English, abstract: This book examines the long memory characteristics in the volatility of the Indian stock market, the Indian exchange rates and the Indian banking sector. This book also reviews the chain of approaches to estimate the long memory parameter. The long memory characteristics of the financial time series are widely studied and have implications for various economics and finance theories. The most important financial implication is related to the violation of the weak-form of market efficiency which encourages the traders, investors and portfolio managers to develop models for making predictions and to construct and implement speculative trading and investment strategies. In an efficient market, the price of an asset should follow a random walk process in which the price change is unaffected by its lagged price changes and has no memory.
David Reuben, Nnamani Chibuike Ngene Modelling Exchange Rate Volatility David Reuben, Nnamani Chibuike Ngene Modelling Exchange Rate Volatility Новинка

David Reuben, Nnamani Chibuike Ngene Modelling Exchange Rate Volatility

Exchange rates and other kinds of traded financial functions such as interest rates, stock prices are prone to constant variability. This variability influences the flow of goods, services, and capital in a country, and exerts strong pressure on the balance of payments, inflation and other macroeconomic variables. Particularly, the exchange rate of Naira in relation to many other currencies of the world fluctuate such that their returns over different periods of time are significantly volatile and difficult to forecast. This problem of exchange rate variability have become too disturbing, thus the need to model this fluctuation. The empirical evidence provided in this study uses ARCH and GARCH models for modelling this variability in rate as they are found to capture the "stylised facts" of financial returns such as: leptokurtosis, volatility clustering, intermittency, fat tails, leverage effect etc. As such, this book comes handy as it could be employed in assessing the condition of the financial markets for making decisions by investors, speculators, investment managers and financial regulators, both in a developed and a developing economy.
Riccardo Rebonato The SABR/LIBOR Market Model. Pricing, Calibration and Hedging for Complex Interest-Rate Derivatives Riccardo Rebonato The SABR/LIBOR Market Model. Pricing, Calibration and Hedging for Complex Interest-Rate Derivatives Новинка

Riccardo Rebonato The SABR/LIBOR Market Model. Pricing, Calibration and Hedging for Complex Interest-Rate Derivatives

8864.32 руб. или Купить в рассрочку!
This book presents a major innovation in the interest rate space. It explains a financially motivated extension of the LIBOR Market model which accurately reproduces the prices for plain vanilla hedging instruments (swaptions and caplets) of all strikes and maturities produced by the SABR model. The authors show how to accurately recover the whole of the SABR smile surface using their extension of the LIBOR market model. This is not just a new model, this is a new way of option pricing that takes into account the need to calibrate as accurately as possible to the plain vanilla reference hedging instruments and the need to obtain prices and hedges in reasonable time whilst reproducing a realistic future evolution of the smile surface. It removes the hard choice between accuracy and time because the framework that the authors provide reproduces today's market prices of plain vanilla options almost exactly and simultaneously gives a reasonable future evolution for the smile surface. The authors take the SABR model as the starting point for their extension of the LMM because it is a good model for European options. The problem, however with SABR is that it treats each European option in isolation and the processes for the various underlyings (forward and swap rates) do not talk to each other so it isn't obvious how to relate these processes into the dynamics of the whole yield curve. With this new model, the authors bring the dynamics of the various forward rates and stochastic volatilities under a single umbrella. To ensure the absence of arbitrage they derive drift adjustments to be applied to both the forward rates and their volatilities. When this is completed, complex derivatives that depend on the joint realisation of all relevant forward rates can now be priced. Contents THE THEORETICAL SET-UP The Libor Market model The SABR Model The LMM-SABR Model IMPLEMENTATION AND CALIBRATION Calibrating the LMM-SABR model to Market Caplet prices Calibrating the LMM/SABR model to Market Swaption Prices Calibrating the Correlation Structure EMPIRICAL EVIDENCE The Empirical problem Estimating the volatility of the forward rates Estimating the correlation structure Estimating the volatility of the volatility HEDGING Hedging the Volatility Structure Hedging the Correlation Structure Hedging in conditions of market stress
George Jabbour The Option Trader Handbook. Strategies and Trade Adjustments George Jabbour The Option Trader Handbook. Strategies and Trade Adjustments Новинка

George Jabbour The Option Trader Handbook. Strategies and Trade Adjustments

5350.33 руб. или Купить в рассрочку!
Strategies, tools, and solutions for minimizing risk and volatility in option trading An intermediate level trading book, The Option Trader Handbook, Second Edition provides serious traders with strategies for managing and adjusting their market positions. This Second Edition features new material on implied volatility; Delta and Theta, and how these measures can be used to make better trading decisions. The book presents the art of making trade adjustments in a logical sequence, starting with long and short stock positions; moving on to basic put and call positions; and finally discussing option spreads and combinations. Covers different types of underlying positions and discusses all the possible adjustments that can be made to that position Offers important insights into more complex option spreads and combinations A timely book for today's volatile markets Intended for both stock and option traders, this book will help you improve your overall trading skills and performance.

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Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a presentation of the dynamics and complexity of futures and derivatives markets as well as a portfolio optimization problem using quantum computers. Subsequently, the handbook addresses estimating complex model parameters using high-frequency data. Finally, the handbook focuses on the links between models used in financial markets and models used in other research areas such as geophysics, fossil records, and earthquake studies. The Handbook of High-Frequency Trading and Modeling in Finance also features: • Contributions by well-known experts within the academic, industrial, and regulatory fields • A well-structured outline on the various data analysis methodologies used to identify new trading opportunities • Newly emerging quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump processes for limit-order books and broader market indicators; and options markets • Practical applications using real-world data to help readers better understand the presented material The Handbook of High-Frequency Trading and Modeling in Finance is an excellent reference for professionals in the fields of business, applied statistics, econometrics, and financial engineering. The handbook is also a good supplement for graduate and MBA-level courses on quantitative finance, volatility, and financial econometrics. Ionut Florescu, PhD, is Research Associate Professor in Financial Engineering and Director of the Hanlon Financial Systems Laboratory at Stevens Institute of Technology. His research interests include stochastic volatility, stochastic partial differential equations, Monte Carlo Methods, and numerical methods for stochastic processes. Dr. Florescu is the author of Probability and Stochastic Processes, the coauthor of Handbook of Probability, and the coeditor of Handbook of Modeling High-Frequency Data in Finance, all published by Wiley. Maria C. Mariani, PhD, is Shigeko K. Chan Distinguished Professor in Mathematical Sciences and Chair of the Department of Mathematical Sciences at The University of Texas at El Paso. Her research interests include mathematical finance, applied mathematics, geophysics, nonlinear and stochastic partial differential equations and numerical methods. Dr. Mariani is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley. H. Eugene Stanley, PhD, is William Fairfield Warren Distinguished Professor at Boston University. Stanley is one of the key founders of the new interdisciplinary field of econophysics, and has an ISI Hirsch index H=128 based on more than 1200 papers. In 2004 he was elected to the National Academy of Sciences. Frederi G. Viens, PhD, is Professor of Statistics and Mathematics and Director of the Computational Finance Program at Purdue University. He holds more than two dozen local, regional, and national awards and he travels extensively on a world-wide basis to deliver lectures on his research interests, which range from quantitative finance to climate science and agricultural economics. A Fellow of the Institute of Mathematics Statistics, Dr. Viens is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley.
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