Risk-controlled multiobjective portfolio selection problem using a principle of compromise

Takashi Hasuike, Hideki Katagiri

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper proposes a multiobjective portfolio selection problem with most probable random distribution derived from current market data and other random distributions of boom and recession under the risk-controlled parameters determined by an investor. The current market data and information include not only historical data but also interpretations of economists' oral and linguistic information, and hence, the boom and recession are often caused by these nonnumeric data. Therefore, investors need to consider several situations from most probable condition to boom and recession and to avoid the risk less than the target return in each situation. Furthermore, it is generally difficult to set random distributions of these cases exactly. Therefore, a robust-based approach for portfolio selection problems using the only mean values and variances of securities is proposed as a multiobjective programming problem. In addition, an exact algorithm is developed to obtain an explicit optimal portfolio using a principle of compromise.

Original languageEnglish
Article number232375
JournalMathematical Problems in Engineering
Volume2014
DOIs
Publication statusPublished - 2014
Externally publishedYes

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Portfolio Selection
Probable
Linguistics
Optimal Portfolio
Multiobjective Programming
Random Sets
Historical Data
Exact Algorithms
Mean Value
Target
Market

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)

Cite this

Risk-controlled multiobjective portfolio selection problem using a principle of compromise. / Hasuike, Takashi; Katagiri, Hideki.

In: Mathematical Problems in Engineering, Vol. 2014, 232375, 2014.

Research output: Contribution to journalArticle

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