Bayesian Optimal Portfolio Selection in the MSF-SBEKK Model

Anna Pajor

DOI: http://dx.doi.org/10.12775/DEM.2011.003

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.

 


Keywords


portfolio analysis; MSV models; MSF-SBEKK

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References


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ISSN (print) 1234-3862
ISSN (online) 2450-7067

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