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
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