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Bayesian Optimal Portfolio Selection in the MSF-SBEKK Model

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  • Anna Pajor

    (Cracow University of Economics)

Abstract

The aim of this paper is to investigate the predictive properties of the MSF-Scalar BEKK(1,1) model in context of portfolio optimization. The MSF-SBEKK model has been proposed as a feasible tool for analyzing multidimensional financial data (large n), but this research examines forecasting abilities of this model for n = 2, since for bivariate data we can obtain and compare predictive distributions of the portfolio in many other multivariate SV specifications. Also, approximate posterior results in the MSF-SBEKK model (based on preliminary estimates of nuisance matrix parameters) are compared with the exact ones.

Suggested Citation

  • Anna Pajor, 2011. "Bayesian Optimal Portfolio Selection in the MSF-SBEKK Model," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 41-54.
    • Handle: RePEc:cpn:umkdem:v:11:y:2011:p:41-54
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    References listed on IDEAS

    as
    1. Jacek Osiewalski & Anna Pajor, 2009. "Bayesian Analysis for Hybrid MSF-SBEKK Models of Multivariate Volatility," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(2), pages 179-202, November.
    2. Aguilar, Omar & West, Mike, 2000. "Bayesian Dynamic Factor Models and Portfolio Allocation," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 338-357, July.
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