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Forecasting Volatility in the Financial Markets, Third Edition (Quantitative Finance) [Hardcover]

Stephen Satchell (Author), John Knight (Author)
4.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

April 6, 2007 075066942X 978-0750669429 3
This new edition of Forecasting Volatility in the Financial Markets 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

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Forecasting Volatility in the Financial Markets, Third Edition (Quantitative Finance) + The Volatility Surface: A Practitioner's Guide (Wiley Finance)
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Editorial Reviews

About the Author

Stephen Satchell is a Fellow of Trinity College, the Reader in Financial Econometrics at the University of Cambridge and Visiting Professor at Birkbeck College, City University Business School and University of Technology, Sydney. He provides consultancy for a range of city institutions in the broad area of quantitative finance. He has published papers in many journals and has a particular interest in risk.


Product Details

  • Hardcover: 432 pages
  • Publisher: Butterworth-Heinemann; 3 edition (April 6, 2007)
  • Language: English
  • ISBN-10: 075066942X
  • ISBN-13: 978-0750669429
  • Product Dimensions: 9.2 x 6.8 x 1.2 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,343,186 in Books (See Top 100 in Books)

 

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2 of 2 people found the following review helpful:
4.0 out of 5 stars recent vintage, December 23, 2007
This review is from: Forecasting Volatility in the Financial Markets, Third Edition (Quantitative Finance) (Hardcover)
For the seriously included financial modeller, who has a strong mathematical bent, the book is a good read. It explains several models used to try to characterise volatility. Typically, these go beyond the normal distribution; using, for example, the Generalised Error Distribution.

High order moments of the distributions are looked at. Like the consideration of what effects leptokurtosis have. Simulations also figure prominently in the book. So you can dry run your own models against some hopefully relevant "reality". In part, this is to look for simple forecasting rules that can then be applied in an actual market.

It should be no surprise that option pricing is extensively discussed. Starting with the partial differential method in Black-Scholes. There is a quick review of the considerable literature that has flowed from usage and refinement of Black-Scholes.

An attraction of the book is its recent vintage. Keeps you current on the best understanding of modelling.
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0 of 2 people found the following review helpful:
4.0 out of 5 stars i recommend this book, to every one., July 31, 2009
This review is from: Forecasting Volatility in the Financial Markets, Third Edition (Quantitative Finance) (Hardcover)
this book is a uniqe one. the writer is tell us for the only way to forcast the market.

only volatility can do it. the rest of indicators can not.

for this reason has to read the book every ona.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
dynamic semivariance, systematic forecast bias, semivariance model, recession indicator, mixture distribution approach, lower semivariance, call pricing function, intraday returns, volatility smile curve, scaled truncated, daily squared returns, forecasting volatility, stochastic variance models, short sterling future, forecast error statistics, predetermined instruments, long memory parameter, volatility forecasting, eigenvalues within the unit circle, conditional stock volatility, optimal sampling frequency, volatility forecasts, volatility models, indicative quotes, truncation lag
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Review of Financial Studies, Monte Carlo, British Steel, Journal of Forecasting, Department of Economics, Deutsche Mark, Dow Jones Industrial Index, Review of Economic Studies, United Kingdom, San Diego, University of California, American Economic Review, Bank of England, Birkbeck College, Econometric Reviews, Econometric Theory, Information Criteria, John Wiley, Journal of Political Economy, London School of Economics, University of Cambridge, Cambridge University Press, Economics Letters, International Economic Review
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