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Y. Li, Z. X. Ni and J. Zhang, “An Efficient Stochastic Si- mulation Algorithm for Bayesian Unit Root Testing in Stochastic Volatility Models,” Computational Economics, Vol. 37, No. 3, 2011, pp. 237-248. doi:10.1007/s10614-011-9252-4

has been cited by the following article:

• TITLE: Bayesian Testing for Asset Volatility Persistence on Multivariate Stochastic Volatility Models

  AUTHORS: Yong Li, Fang-Ping Peng, Hao-Feng Xu

  KEYWORDS: Asset Volatility Persistency; Bayes Factor; Decision Theory; Markov Chain Monte Carlo; Unit Root Testing; Multivariate Stochastic Volatility Models

  JOURNAL NAME: Journal of Mathematical Finance, Vol.2 No.1, February 28, 2012

  ABSTRACT: In empirical finance, it is well-known that the volatility of asset returns is highly persistent. The persistence of the volatility process may be checked by testing for a unit root on stochastic volatility models. In this paper, a Bayesian test statistic based on decision theory is developed for testing a unit root on multivariate stochastic volatility models. At last, the developed approach is applied to investigate the persistent effect of financial crisis on the two main stock markets in China.