Satisficing Measures for Analysis of Risky Positions

David B. Brown () and Melvyn Sim ()
Additional contact information
David B. Brown: Fuqua School of Business, Duke University, Durham, North Carolina 27705
Melvyn Sim: NUS Business School, NUS Risk Management Institute, and Singapore MIT Alliance (SMA), National University of Singapore, Singapore 117592

Management Science, 2009, vol. 55, issue 1, 71-84

Abstract: In this work we introduce a class of measures for evaluating the quality of financial positions based on their ability to achieve desired financial goals. In the spirit of Simon (Simon, H. A. 1959. Theories of decision-making in economics and behavioral science. Amer. Econom. Rev. 49(3) 253-283), we call these measures satisficing measures and show that they are dual to classes of risk measures. This approach has the advantage that aspiration levels, either competing benchmarks or fixed targets, are often much more natural to specify than risk tolerance parameters. In addition, we propose a class of satisficing measures that reward diversification. Finding optimal portfolios for such satisficing measures is computationally tractable. Moreover, this class of satisficing measures has an ambiguity interpretation in terms of robust guarantees on the expected performance because the underlying distribution deviates from the investor's reference distribution. Finally, we show some promising results for our approach compared to traditional methods in a real-world portfolio problem against a competing benchmark.

Keywords: satisficing; aspiration levels; targets; risk measures; coherent risk measures; convex risk measures; portfolio optimization (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (49)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.1080.0929 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:55:y:2009:i:1:p:71-84

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().