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Social and Behavioral Sciences Commons

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Econometrics

Singapore Management University

Series

2009

AD Model Builder

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Automated Likelihood Based Inference For Stochastic Volatility Models, H. Skaug, Jun Yu Nov 2009

Automated Likelihood Based Inference For Stochastic Volatility Models, H. Skaug, Jun Yu

Research Collection School Of Economics

The Laplace approximation is used to perform maximum likelihood estimation of univariate and multivariate stochastic volatility (SV) models. It is shown that the implementation of the Laplace approximation is greatly simplified by the use of a numerical technique known as automatic differentiation (AD). Several algorithms are proposed and compared with some existing maximum likelihood methods using both simulated data and actual data. It is found that the new methods match the statistical efficiency of the existing methods while significantly reducing the coding effort. Also proposed are simple methods for obtaining the filtered, smoothed and predictive values for the latent variable. …