Table of Contents
General Introduction Neil Shephard
Part I: Model Building
1. A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices, P. K. Clark
2. Financial Returns Modelled by the Product of Two Stochastic Processes: A Study of Daily Sugar Prices 1961-7, S. J. Taylor
3. The Behavior of Random Variables with Nonstationary Variance and the Distribution of Security Prices, B. Rosenberg
4. The Pricing of Options on Assets with Stochastic Volatilities, J. Hull and A. White
5. The Dynamics of Exchange Rate Volatility: A Multivariate Latent Factor ARCH Model, F. X. Diebold and M. Nerlove
6. Multivariate Stochastic Variance Models, A.C. Harvey, E. Ruiz and N. Shephard)
7. Stochastic Autoregressive Volatility: A Framework for Volatility Modelling, T.G. Anderson
8. Long Memory in Continuous-time Stochastic Volatility Models, F. Comte and E. Renault
Part II: Inference
9. Bayesian Analysis of Stochastic Volatility Models, E. Jacquier, N. G. Polson, and P. E. Rossi
10 Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models. S. Kim, N. Shephard, and S. Chib
11. Estimation of Stochastic Volatility Models with Diagnostics, A. R. Gallant, D. Hsieh, and G. Tauchen
Part III. Option Pricing
12. Pricing Foreign Currency Options with Stochastic Volatility, A. Melino and S. M. Turnbull
13. A Closed-Form Solution for Options with Stochastic Volatility, with Applications to Bond and Currency Options, S. L. Heston
14. A Study Towards a Unified Approach to the Joint Estimation of Objective and Risk Neutral Measures for Purpose of Options Valuation, M. Chernov and E. Ghysels
Part IV. Realised Variation
15. The Distribution of Exchange Rate Volatility, T.G. Andersen, T. Bollerslev, F. X. Diebold, and P. Labys
16. Econometric Analysis of Realized Volatility and its use in Estimating Stochastic Volatility Models, O. E. Labys Barndorff-Nielsen and N. Shephard
