Satisficing Measures for Analysis of Risky Positions

• 成果类型: Article
• 署名作者: Brown, David B.; Sim, Melvyn
• 署名单位: Duke University; National University of Singapore; Nanyang Technological University; National University of Singapore
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.1080.0929
• 发表日期: 2009
• 页码: 71-84
• 关键词: Satisficing; aspiration levels; targets; Risk measures; Coherent risk measures; convex risk measures; Portfolio optimization

摘要

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.