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Fitting Nonlinear Time-Series Models with Applications to Stochastic Variance Models

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Author Info
Shephard, Neil

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Abstract

New strategies for the implementation of maximum likelihood estimation of nonlinear time series models are suggested. They make use of recent work on the EM algorithm and iterative simulation techniques. The estimation procedures are applied to the problem of fitting stochastic variance models to exchange rate data. Copyright 1993 by John Wiley & Sons, Ltd.

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Publisher Info
Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 8 (1993)
Issue (Month): S (Suppl. Dec.)
Pages: S135-52
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Handle: RePEc:jae:japmet:v:8:y:1993:i:s:p:s135-52

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  1. Björn Hansson & Peter Hördahl, 2005. "Forecasting variance using stochastic volatility and GARCH," European Journal of Finance, Taylor and Francis Journals, vol. 11(1), pages 33-57, February. [Downloadable!] (restricted)
  2. Joel Hasbrouck, 1998. "Liquidity in the Futures Pits: Inferring Market Dynamics from Incomplete Data," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-076, New York University, Leonard N. Stern School of Business-. [Downloadable!]
  3. Sangjoon Kim, Neil Shephard & Siddhartha Chib, . "Stochastic volatility: likelihood inference and comparison with ARCH models," Economics Papers W26, revised version of W, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
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  4. Xibin Zhang & Maxwell L. King, 2003. "Estimation of Asymmetric Box-Cox Stochastic Volatility Models Using MCMC Simulation," Monash Econometrics and Business Statistics Working Papers 10/03, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
  5. Jun Yu & Zhenlin Yang & Xibin Zhang, 2002. "A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options," Monash Econometrics and Business Statistics Working Papers 17/02, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
    Other versions:
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