Application Of Stochastic Volatility Models In Option Pricing
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Application Of Stochastic Volatility Models In Option Pricing
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Author : Pascal Debus
language : de
Publisher: GRIN Verlag
Release Date : 2013-09-09
Application Of Stochastic Volatility Models In Option Pricing written by Pascal Debus and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-09 with Business & Economics categories.
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.
Option Pricing Models And Volatility Using Excel Vba
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Author : Fabrice D. Rouah
language : en
Publisher: John Wiley & Sons
Release Date : 2012-06-15
Option Pricing Models And Volatility Using Excel Vba written by Fabrice D. Rouah and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-15 with Business & Economics categories.
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
Uncertain Volatility Models
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Author : Robert Buff
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Uncertain Volatility Models written by Robert Buff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This is one of the only books to describe uncertain volatility models in mathematical finance and their computer implementation for portfolios of vanilla, barrier and American options in equity and FX markets. Uncertain volatility models place subjective constraints on the volatility of the stochastic process of the underlying asset and evaluate option portfolios under worst- and best-case scenarios. This book, which is bundled with software, is aimed at graduate students, researchers and practitioners who wish to study advanced aspects of volatility risk in portfolios of vanilla and exotic options. The reader is assumed to be familiar with arbitrage pricing theory.
Modeling And Estimation Of Long Memory In Stochastic Volatility
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Author : Nazibrola Lordkipanidze
language : en
Publisher:
Release Date : 2004
Modeling And Estimation Of Long Memory In Stochastic Volatility written by Nazibrola Lordkipanidze and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Volatility Surface And Term Structure
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Author : Kin Keung Lai
language : en
Publisher: Routledge
Release Date : 2013-09-11
Volatility Surface And Term Structure written by Kin Keung Lai and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-11 with Business & Economics categories.
This book provides different financial models based on options to predict underlying asset price and design the risk hedging strategies. Authors of the book have made theoretical innovation to these models to enable the models to be applicable to real market. The book also introduces risk management and hedging strategies based on different criterions. These strategies provide practical guide for real option trading. This book studies the classical stochastic volatility and deterministic volatility models. For the former, the classical Heston model is integrated with volatility term structure. The correlation of Heston model is considered to be variable. For the latter, the local volatility model is improved from experience of financial practice. The improved local volatility surface is then used for price forecasting. VaR and CVaR are employed as standard criterions for risk management. The options trading strategies are also designed combining different types of options and they have been proven to be profitable in real market. This book is a combination of theory and practice. Users will find the applications of these financial models in real market to be effective and efficient.
Applicability Of Options Pricing Models
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Author : Vipul Kumar Singh
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2013
Applicability Of Options Pricing Models written by Vipul Kumar Singh and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Rigorous efforts are being made since the four decades to root out the problem of pricing options with non-constant volatility. The suggested models can be positively categorized into deterministic volatility models and stochastic volatility models. In most of the cases of the previous researches on this issue have been tried with comparing and contrasting Black-Scholes model against the various models crafted by the researches. This book, in this way sounds unique because for the first time the various models of option pricing have directly been analyzed upon the live data of S&P CNX Nifty index options procured right from the market.This book is only a foundation stone which just gives a direction to proceed and find out innumerable opportunities to explore which will definitely be a better designed volatility model to forecast and predict a future course of investments by shielding and safeguarding it. Objective of this book is to postulate a reason why market prices display pricing biases and to examine whether an alternative framework of deterministic and stochastic models can whether give a price similar to those quoted in the market.
Option Valuation Under Stochastic Volatility
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Author : Alan L. Lewis
language : en
Publisher:
Release Date : 2000
Option Valuation Under Stochastic Volatility written by Alan L. Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
Analytically Tractable Stochastic Stock Price Models
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Author : Archil Gulisashvili
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-04
Analytically Tractable Stochastic Stock Price Models written by Archil Gulisashvili and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-04 with Mathematics categories.
Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are stochastic volatility models, that have been developed as an answer to certain imperfections in a celebrated Black-Scholes model of option pricing. In a stock price model with stochastic volatility, the random behavior of the volatility is described by a stochastic process. For instance, in the Hull-White model the volatility process is a geometric Brownian motion, the Stein-Stein model uses an Ornstein-Uhlenbeck process as the stochastic volatility, and in the Heston model a Cox-Ingersoll-Ross process governs the behavior of the volatility. One of the author's main goals is to provide sharp asymptotic formulas with error estimates for distribution densities of stock prices, option pricing functions, and implied volatilities in various stochastic volatility models. The author also establishes sharp asymptotic formulas for the implied volatility at extreme strikes in general stochastic stock price models. The present volume is addressed to researchers and graduate students working in the area of financial mathematics, analysis, or probability theory. The reader is expected to be familiar with elements of classical analysis, stochastic analysis and probability theory.
The Volatility Smile
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Author : Emanuel Derman
language : en
Publisher: John Wiley & Sons
Release Date : 2016-09-06
The Volatility Smile written by Emanuel Derman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-06 with Business & Economics categories.
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.
Applications Of Fourier Transform To Smile Modeling
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Author : Jianwei Zhu
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-03
Applications Of Fourier Transform To Smile Modeling written by Jianwei Zhu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-03 with Business & Economics categories.
This book addresses the applications of Fourier transform to smile modeling. Smile effect is used generically by ?nancial engineers and risk managers to refer to the inconsistences of quoted implied volatilities in ?nancial markets, or more mat- matically, to the leptokurtic distributions of ?nancial assets and indices. Therefore, a sound modeling of smile effect is the central challenge in quantitative ?nance. Since more than one decade, Fourier transform has triggered a technical revolution in option pricing theory. Almost all new developed option pricing models, es- cially in connection with stochastic volatility and random jump, have extensively applied Fourier transform and the corresponding inverse transform to express - tion pricing formulas. The large accommodation of the Fourier transform allows for a very convenient modeling with a general class of stochastic processes and d- tributions. This book is then intended to present a comprehensive treatment of the Fourier transform in the option valuation, covering the most stochastic factors such as stochastic volatilities and interest rates, Poisson and Levy ́ jumps, including some asset classes such as equity, FX and interest rates, and providing numerical ex- ples and prototype programming codes. I hope that readers will bene?t from this book not only by gaining an overview of the advanced theory and the vast large l- erature on these topics, but also by gaining a ?rst-hand feedback from the practice on the applications and implementations of the theory.