Stochastic Volatility Selected Readings

  • ISBN13:


  • ISBN10:


  • Format: Paperback
  • Copyright: 2005-05-26
  • Publisher: Oxford University Press

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $87.46 Save up to $13.12
  • Rent Book $74.34
    Add to Cart Free Shipping


Supplemental Materials

What is included with this book?

  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
  • The Rental copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.


Stochastic volatility is the main concept used in the fields of financial economics and mathematical finance to deal with time-varying volatility in financial markets. This book brings together some of the main papers that have influenced the field of the econometrics of stochastic volatility,and shows that the development of this subject has been highly multidisciplinary, with results drawn from financial economics, probability theory, and econometrics, blending to produce methods and models that have aided our understanding of the realistic pricing of options, efficient assetallocation, and accurate risk assessment. A lengthy introduction by the editor connects the papers with the literature.

Table of Contents

List of Contributors vii
General Introduction 1(34)
Part I. Model building 35(210)
1. A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices
Peter K. Clark
2. Financial Returns Modelled by the Product of Two Stochastic Processes-A Study of Daily Sugar Prices, 1961-79
Stephen J. Taylor
3. The Behavior of Random Variables with Nonstationary Variance and the Distribution of Security Prices
Barr Rosenberg
4. The Pricing of Options on Assets with Stochastic Volatilities
John Hull and Alan White
5. The Dynamics of Exchange Rate Volatility: A Multivariate Latent Factor Arch Model
Francis X. Diebold and Marc Nerlove
6. Multivariate Stochastic Variance Models
Andrew Harvey, Esther Ruiz and Neil Shephard
7. Stochastic Autoregressive Volatility: A Framework for Volatility Modeling
Torben G. Andersen
8. Long Memory in Continuous-time Stochastic Volatility Models
Fabienne Comte and Eric Renault
Part II. Inference 245(110)
9. Bayesian Analysis of Stochastic Volatility Models
Eric Jacquier, Nicholas G. Polson and Peter E. Rossi
10. Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
Sangjoon Kim, Neil Shephard and Siddhartha Chib
11. Estimation of Stochastic Volatility Models with Diagnostics
A. Ronald Gallant, David Hsieh and George Tauchen
Part III. Option pricing 355(94)
12. Pricing Foreign Currency Options with Stochastic Volatility
Angelo Melino and Stuart M. Turnbull
13. A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
Steven L. Heston
14. A Study Towards a Unified Approach to the Joint Estimation of Objective and Risk Neutral Measures for the Purpose of Options Valuation
Mikhail Chernov and Eric Ghysels
Part IV. Realised variation 449(66)
15. The Distribution of Realized Exchange Rate Volatility
Torben G. Andersen, Tim Bollerslev, Francis X. Diebold and Paul Labys
16. Econometric Analysis of Realized Volatility and its use in Estimating Stochastic Volatility Models
Ole E. Barndorff-Nielsen and Neil Shephard
Author Index 515(8)
Subject Index 523

Rewards Program

Write a Review