Bayesian Optimal Portfolio Selection in the MSF-SBEKK Model

Journal Title: Dynamic Econometric Models - Year 2011, Vol 11, Issue 1

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.

Authors and Affiliations

Anna Pajor

Keywords

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  • EP ID EP113994
  • DOI -
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How To Cite

Anna Pajor (2011). Bayesian Optimal Portfolio Selection in the MSF-SBEKK Model. Dynamic Econometric Models, 11(1), 41-54. https://europub.co.uk/articles/-A-113994