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Classical and Bayesian analysis of unvariate and multivariate stochastic volatility models
Liesenfeld, Roman; Richard, Jean-François - In: Econometric reviews 25 (2006) 2/3, pp. 335-360
Persistent link: https://www.econbiz.de/10003355771
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Stochastic volatility and leverage : application to a panel of S&P500 stocks
Ozturk, Serda Selin; Richard, Jean-François - In: Finance research letters 12 (2015), pp. 67-76
Persistent link: https://www.econbiz.de/10011552253
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Univariate and multivariate stochastic volatility models : estimation and diagnostics
Liesenfeld, Roman; Richard, Jean-François - In: Journal of empirical finance 10 (2003) 4, pp. 505-531
Persistent link: https://www.econbiz.de/10001782293
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Finite Gaussian mixture approximations to analytically intractable density Kernels
Khorunzhina, Natalia; Richard, Jean-François - In: Computational economics 53 (2019) 3, pp. 991-1017
Persistent link: https://www.econbiz.de/10012135106
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A Stochastic Volatility and Leverage : Application to a Panel of S&P Stocks
Ozturk, Serda - 2012
We estimate stochastic volatility leverage models for a panel of stock returns for 24 S&P 500 firms from six industries. News are measured as differences between daily return and a monthly moving average of past returns. We estimate the models by maximum likelihood using an Efficient Importance...
Persistent link: https://www.econbiz.de/10013106930
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Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models
Liesenfeld, Roman; Richard, Jean-François - 2004
In this paper Efficient Importance Sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure for the Monte Carlo (MC) evaluation of...
Persistent link: https://www.econbiz.de/10010296235
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Classical and Bayesian analysis of univariate and multivariate stochastic volatility models
Liesenfeld, Roman (contributor);  … - 2004 - [Elektronische Ressource]
In this paper Efficient Importance Sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure for the Monte Carlo (MC) evaluation of...
Persistent link: https://www.econbiz.de/10002476893