Stochastic Volatility Long Term Options And Discrete Time Problems In Fx

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Stochastic Volatility Long Term Option And Discrete Time Problems In Fx

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Author : Francois-Stephane Robert Mantion
language : en
Publisher:
Release Date : 1998

Stochastic Volatility Long Term Option And Discrete Time Problems In Fx written by Francois-Stephane Robert Mantion and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.

Stochastic Volatility Long Term Options And Discrete Time Problems In Fx

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Author : Francois-Stephane Robert Andre Mantion
language : en
Publisher:
Release Date : 1998

Stochastic Volatility Long Term Options And Discrete Time Problems In Fx written by Francois-Stephane Robert Andre Mantion and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.

Stochastic Volatility Option Pricing In Discrete Time

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Author : Victor K. Ng
language : en
Publisher:
Release Date : 1991

Stochastic Volatility Option Pricing In Discrete Time written by Victor K. Ng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Options (Finance) categories.

Option Pricing With Long Memory Stochastic Volatility Models

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Author : Zhigang Tong
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2013

Option Pricing With Long Memory Stochastic Volatility Models written by Zhigang Tong 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.

It is now known that long memory stochastic volatility models can capture the well-documented evidence of volatility persistence. However, due to the complex structures of the long memory processes, the analytical formulas for option prices are not available yet. In this book, we propose two fractional continuous time stochastic volatility models which are built on the popular short memory stochastic volatility models. Using the tools from stochastic calculus, fractional calculus and Fourier transform, we derive the (approximate) analytical solutions for option prices. We also numerically study the effects of long memory on option prices. We show that the fractional integration parameter has the opposite effect to that of volatility of volatility parameter. We also find that long memory models can accommodate the short term options and the decay of volatility skew better than the corresponding short memory models. These findings would appeal to the researchers and practitioners in the areas of quantitative finance.

Fx Barrier Options

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Author : Zareer Dadachanji
language : en
Publisher: Springer
Release Date : 2016-04-29

Fx Barrier Options written by Zareer Dadachanji and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-29 with Business & Economics categories.

Barrier options are a class of highly path-dependent exotic options which present particular challenges to practitioners in all areas of the financial industry. They are traded heavily as stand-alone contracts in the Foreign Exchange (FX) options market, their trading volume being second only to that of vanilla options. The FX options industry has correspondingly shown great innovation in this class of products and in the models that are used to value and risk-manage them. FX structured products commonly include barrier features, and in order to analyse the effects that these features have on the overall structured product, it is essential first to understand how individual barrier options work and behave. FX Barrier Options takes a quantitative approach to barrier options in FX environments. Its primary perspectives are those of quantitative analysts, both in the front office and in control functions. It presents and explains concepts in a highly intuitive manner throughout, to allow quantitatively minded traders, structurers, marketers, salespeople and software engineers to acquire a more rigorous analytical understanding of these products. The book derives, demonstrates and analyses a wide range of models, modelling techniques and numerical algorithms that can be used for constructing valuation models and risk-management methods. Discussions focus on the practical realities of the market and demonstrate the behaviour of models based on real and recent market data across a range of currency pairs. It furthermore offers a clear description of the history and evolution of the different types of barrier options, and elucidates a great deal of industry nomenclature and jargon.

Long Range Stochastic Volatility With Two Scales In Option Pricing

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Author : Li Kong
language : en
Publisher:
Release Date : 2012

Long Range Stochastic Volatility With Two Scales In Option Pricing written by Li Kong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.

We exploit a general framework, a martingale approach method, to estimate the derivative price for different stochastic volatility models. This method is a very useful tool for handling non-markovian volatility models. With this method, we get the order of the approximation error by evaluating the orders of three error correction terms. We also summarize some challenges in using the martingale approach method to evaluate the derivative prices. We propose two stochastic volatility models. Our goal is to get the analytical solution for the derivative prices implied by the models. Another goal is to obtain an explicit model for the implied volatility and in particular how it depends on time to maturity. The first model we propose involves the increments of a standard Brownian Motion for a short time increment. The second model involves fractional Brownian Motion(fBm) and two scales. By using fBm in our model, we naturally incorporate a long-range dependence feature of the volatility process. In addition, the implied volatility corresponding to our second model capture a feature of the volatility as observed in the paper Maturity cycles in implied volatility by Fouque, which analyzed the S & P 500 option price data and observed that for long dated options the implied volatility is approximately affine in the reciprocal of time to maturity, while for short dated options the implied volatility is approximately affine in the reciprocal of square root of time to maturity. The leading term in the implied volatility also matches the case when we have time-dependent volatility in the Black-Scholes equation.

Hedging Of Time Discrete Auto Regressive Stochastic Volatility Options

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Author : Alexandru Badescu
language : en
Publisher:
Release Date : 2016

Hedging Of Time Discrete Auto Regressive Stochastic Volatility Options written by Alexandru Badescu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.

Numerous empirical proofs indicate the adequacy of the time discrete auto-regressive stochastic volatility models introduced by Taylor in the dynamical description of the log-returns of financial assets. The pricing and hedging of contingent products that use these models for their underlying assets is a complicated task due to the incomplete nature of the corresponding market and the non-observability of the associated volatility process. In this paper we introduce new pricing kernels for this setup and apply two existing volatility filtering techniques available in the literature for these models, namely Kalman filtering and the hierarchical-likelihood approach, in order to implement various pricing and dynamical hedging strategies. An extensive empirical analysis using both historical returns and options data illustrates the advantages of this model when compared with more standard approaches, namely Black-Scholes and GARCH.

The Volatility Surface

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Author : Jim Gatheral
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-10

The Volatility Surface written by Jim Gatheral 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 2011-03-10 with Business & Economics categories.

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

Complex Systems In Finance And Econometrics

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Author : Robert A. Meyers
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-03

Complex Systems In Finance And Econometrics written by Robert A. Meyers 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 2010-11-03 with Business & Economics categories.

Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.

Stochastic Volatility And Fx Option Pricing

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Author : Bernd Mahler
language : en
Publisher:
Release Date : 2010

Stochastic Volatility And Fx Option Pricing written by Bernd Mahler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.

This paper analyzes if the implied volatility surface of foreign exchange options should be modelled by using classical stochastic volatility option pricing models or if more complex models like the Stochastic Skew models recently proposed by Carr and Wu (2004) are required. For this purpose three stochastic volatility models including the Heston model (1993), a restricted Heston model, a Hull White (1987) Model as well as three Stochastic Skew models based on different Jump structures, are calibrated and applied to the pricing of EURUSD and USDJPY options issued on the German foreign exchange options retail market. The comparison of market prices and model prices indicate that both for EURUSUD and USDJPY Stochastic Skew models based on time-changed Lévy processes mostly outperform traditional stochastic volatility models like Heston in capturing highly skewed implied volatility surfaces.