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

被引：1

作者：

Stoilov, Todor ^{[1
]}

Stoilova, Krasimira ^{[1
]}

Vladimirov, Miroslav ^{[2
]}

机构：

[1] Bulgarian Acad Sci, Inst Informat & Commun Technol, Acad G Bonchev St,BL2, Sofia 1113, Bulgaria

[2] Varna Univ Econ, Adm & Management Dept, 1 Kniaz Boris St, Varna 9002, Bulgaria

来源：

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING | 2022年 / 21卷 / 02期

关键词：

Decision support; optimization and information technologies; operation research; portfolio management; OPTIMIZATION; SELECTION; VARIANCE;

D O I：

10.1142/S0219622021500589

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：643 / 664

页数：22

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