Bayesian Analysis of Stochastic Volatility Model and Portfolio Allocation

Anna Pajor

Chapter 14 in Acta Universitatis Lodziensis. Folia Oeconomica nr 192/2005 - Issues in Modeling, Forecasting and Decision-Making in Financial Markets, 2005, vol. 192, pp 229-249 from University of Lodz

Abstract: In this paper we present the multivariate stochastic volatility model based on the Cholesky decomposition. This model and the Bayesian approach is used to model bivariate daily financial time series and construct an optimal portfolio. We consider the hypothetical portfolios consisted of two currencies that were most important for the Polish economy: the US dollar and the German mark. In the optimization process we used the predictive distributions of future returns and the predictive covariance matrix obtained from the MSV model.

Keywords: Bayesian analysis; Portfolio allocation; Markov chain Monte Carlo (search for similar items in EconPapers)
JEL-codes: C01 E02 F00 G00 (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:ann:findec:book:y:2005:n:192:ch:14:foe

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