[PDF] Is Implied Volatility An Informationally Efficient And Effective Predictor Of Future Volatility eBook

Author : Louis H. Ederington
Publisher :
Page : pages
File Size : 11,31 MB
Release : 1998
Category :
ISBN :

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This paper examines (1) whether implied volatility is an unbiased informationally efficient predictor of actual future volatility and (2) its predictive power. If markets are efficient and the option pricing model is correct, then the implied volatility calculated from option prices should be an unbiased and informationally efficient estimator of future volatility, that is, it should correctly impound all available information including the asset's price history. However, numerous studies have found that implied volatility is not informationally efficient and that historical volatilities have incremental predictive power -- often out-predicting implied volatilities. For the Samp;P 500 options on futures we find the following. One, at least part of the apparent inefficiency of implied volatility from past studies stems from measurement error which biases estimates of the importance of implied volatility downward and of the importance of historical volatility upward. Once we correct for this error, there is no significant inefficiency. Two, implied volatility has strong predictive power -- considerably stronger than found by previous equity index studies. Three, stock market volatility prediction results are quite sensitive to (1) the forecasting horizon and (2) whether the data period covers the October 1987 stock market crash.

Author : Teng-Ching Huang
Publisher :
Page : 38 pages
File Size : 49,59 MB
Release : 2015
Category :
ISBN :

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We investigate the impact of information trading on predicting variation of implied volatility. First, we find that informed traders do trade in the index options market. The predicting biases of implied volatilities on the realized volatility are correlated with the information trading. Second, we find that delta market depth and bid-ask spread are correlated with the predicting variations in implied volatilities. Moreover, the difference between realized and implied volatility, bid-ask spread, and delta market depth are the determinants of price discovery in the option market. Third, the intraday patterns in realized volatility exhibit an inverse J-shape, which induces forecasting biases in implied volatilities. Finally, based on the performance of the volatility trading strategy, the result does not support efficient market hypothesis.

Author : Stephen J. Taylor
Publisher : Princeton University Press
Page : 544 pages
File Size : 48,35 MB
Release : 2011-02-11
Category : Business & Economics
ISBN : 1400839254

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This book shows how current and recent market prices convey information about the probability distributions that govern future prices. Moving beyond purely theoretical models, Stephen Taylor applies methods supported by empirical research of equity and foreign exchange markets to show how daily and more frequent asset prices, and the prices of option contracts, can be used to construct and assess predictions about future prices, their volatility, and their probability distributions. Stephen Taylor provides a comprehensive introduction to the dynamic behavior of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics, but with less mathematics than in alternative texts. The key topics covered include random walk tests, trading rules, ARCH models, stochastic volatility models, high-frequency datasets, and the information that option prices imply about volatility and distributions. Asset Price Dynamics, Volatility, and Prediction is ideal for students of economics, finance, and mathematics who are studying financial econometrics, and will enable researchers to identify and apply appropriate models and methods. It will likewise be a valuable resource for quantitative analysts, fund managers, risk managers, and investors who seek realistic expectations about future asset prices and the risks to which they are exposed.

Author : Ser-Huang Poon
Publisher : John Wiley & Sons
Page : 236 pages
File Size : 12,99 MB
Release : 2005-08-19
Category : Business & Economics
ISBN : 0470856157

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Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment, option pricing, and financial market regulation. While many books address financial market modelling, no single book is devoted primarily to the exploration of volatility forecasting and the practical use of forecasting models. A Practical Guide to Forecasting Financial Market Volatility provides practical guidance on this vital topic through an in-depth examination of a range of popular forecasting models. Details are provided on proven techniques for building volatility models, with guide-lines for actually using them in forecasting applications.

Author : Henri Theil
Publisher :
Page : 508 pages
File Size : 26,14 MB
Release : 1966
Category : Economic forecasting
ISBN :

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The subjects covered include econometric macromodels, preliminary estimates of recent changes input-outputs, forecast applications of information concepts and various survey techniques dealing ...

Author : Riccardo Rebonato
Publisher : John Wiley & Sons
Page : 864 pages
File Size : 21,2 MB
Release : 2005-07-08
Category : Business & Economics
ISBN : 0470091401

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In Volatility and Correlation 2nd edition: The Perfect Hedger and the Fox, Rebonato looks at derivatives pricing from the angle of volatility and correlation. With both practical and theoretical applications, this is a thorough update of the highly successful Volatility & Correlation – with over 80% new or fully reworked material and is a must have both for practitioners and for students. The new and updated material includes a critical examination of the ‘perfect-replication’ approach to derivatives pricing, with special attention given to exotic options; a thorough analysis of the role of quadratic variation in derivatives pricing and hedging; a discussion of the informational efficiency of markets in commonly-used calibration and hedging practices. Treatment of new models including Variance Gamma, displaced diffusion, stochastic volatility for interest-rate smiles and equity/FX options. The book is split into four parts. Part I deals with a Black world without smiles, sets out the author’s ‘philosophical’ approach and covers deterministic volatility. Part II looks at smiles in equity and FX worlds. It begins with a review of relevant empirical information about smiles, and provides coverage of local-stochastic-volatility, general-stochastic-volatility, jump-diffusion and Variance-Gamma processes. Part II concludes with an important chapter that discusses if and to what extent one can dispense with an explicit specification of a model, and can directly prescribe the dynamics of the smile surface. Part III focusses on interest rates when the volatility is deterministic. Part IV extends this setting in order to account for smiles in a financially motivated and computationally tractable manner. In this final part the author deals with CEV processes, with diffusive stochastic volatility and with Markov-chain processes. Praise for the First Edition: “In this book, Dr Rebonato brings his penetrating eye to bear on option pricing and hedging.... The book is a must-read for those who already know the basics of options and are looking for an edge in applying the more sophisticated approaches that have recently been developed.” —Professor Ian Cooper, London Business School “Volatility and correlation are at the very core of all option pricing and hedging. In this book, Riccardo Rebonato presents the subject in his characteristically elegant and simple fashion...A rare combination of intellectual insight and practical common sense.” —Anthony Neuberger, London Business School

Author : John C. Cox
Publisher : Prentice Hall
Page : 518 pages
File Size : 40,82 MB
Release : 1985
Category : Business & Economics
ISBN :

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Includes the first published detailed description of option exchange operations, the first published treatment using only elementary mathematics and the first step-by-step procedure for implementing the Black-Scholes formula in actual trading.

Author : Stephen Satchell
Publisher : Elsevier
Page : 428 pages
File Size : 31,82 MB
Release : 2011-02-24
Category : Business & Economics
ISBN : 0080471420

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Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey Leading thinkers present newest research on volatility forecasting International authors cover a broad array of subjects related to volatility forecasting Assumes basic knowledge of volatility, financial mathematics, and modelling

Author : Robert Kosowski
Publisher : Academic Press
Page : 893 pages
File Size : 31,22 MB
Release : 2014-11-26
Category : Business & Economics
ISBN : 0123870070

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Principles of Financial Engineering, Third Edition, is a highly acclaimed text on the fast-paced and complex subject of financial engineering. This updated edition describes the "engineering" elements of financial engineering instead of the mathematics underlying it. It shows how to use financial tools to accomplish a goal rather than describing the tools themselves. It lays emphasis on the engineering aspects of derivatives (how to create them) rather than their pricing (how they act) in relation to other instruments, the financial markets, and financial market practices. This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing. A solutions manual enhances the text by presenting additional cases and solutions to exercises. This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs. The Third Edition presents three new chapters on financial engineering in commodity markets, financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles and how to incorporate counterparty risk into derivatives pricing, among other topics Additions, clarifications, and illustrations throughout the volume show these instruments at work instead of explaining how they should act The solutions manual enhances the text by presenting additional cases and solutions to exercises

Author : Robert C Merton
Publisher : Legare Street Press
Page : 0 pages
File Size : 44,46 MB
Release : 2022-10-27
Category :
ISBN : 9781015784017

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