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Stochastic Volatility with Leverage: Fast Likelihood Inference Author info | Abstract | Publisher info | Download info | Related research | Statistics Yasuhiro Omori (Faculty of Economics, University of Tokyo)
Siddhartha Chib (Olin School of Business, Washington University)
Neil Shephard (Nuffield College, Oxford)
Jouchi Nakajima (Faculty of Economics, University of Tokyo)
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Kim, Shephard, and Chib (1998) provided a Bayesian analysis of stochastic volatility models based on a fast and reliable Markov chain Monte Carlo (MCMC) algorithm. Their method ruled out the leverage effect, which is known to be important in applications. Despite this, their basic method has been extensively used in the financial economics literature and more recently in macroeconometrics. In this paper we show how the basic approach can be extended in a novel way to stochastic volatility models with leverage without altering the essence of the original approach. Several illustrative examples are provided.
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Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number
CIRJE-F-297.
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Length: 24 pages
Date of creation: Aug 2004Date of revision:
Handle: RePEc:tky:fseres:2004cf297Contact details of provider: Web page: http://www.e.u-tokyo.ac.jp/cirje/index.htm
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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