Decision Support for Portfolio Management by Information System with Black–Litterman Model

Todor Stoilov, Krasimira Stoilova () and Miroslav Vladimirov ()
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Todor Stoilov: Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Acad. G. Bonchev Street, BL2, Bulgaria
Krasimira Stoilova: Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Acad. G. Bonchev Street, BL2, Bulgaria
Miroslav Vladimirov: ��Varna University of Economics, Administration and Management Department, 9002 Varna, 1 Kniaz Boris Street, Bulgaria

International Journal of Information Technology & Decision Making (IJITDM), 2022, vol. 21, issue 02, 643-664

Abstract: An algorithm is derived for the development of portfolio decision-support information service. The algorithm allows being automated evaluations for the definition and solution of portfolio problems. Small set of historical data of asset returns with limited set of assets are used for the portfolio, which is the case for no institutional portfolio manager. The algorithm applies analytical relations for decreasing the computational workload for the estimation of the market parameters due to the limited number of assets. The subjective expert views in the Black–Litterman (BL) model are defined from additional assessment of historical data of the asset returns. The algorithm makes comparisons of the results for active portfolio management from the mean variance (MV) model, the BL one and the equal-weighted investment strategy. Benefits of the algorithm are the usage of small set of historical data and limited number of assets, which are proved in investment rolling horizon.

Keywords: Decision support; optimization and information technologies; operation research; portfolio management (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219622021500589

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