全面规避下行风险

IF 0.5 4区 经济学 Q4 ECONOMICS Mathematical Social Sciences Pub Date : 2024-08-13 DOI:10.1016/j.mathsocsci.2024.08.003
Donald C. Keenan , Arthur Snow
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引用次数: 0

摘要

研究表明,通过效用转换,对较大或较小的下行风险规避概念的良好处理,导致对下行风险绝对规避的双重概念不只是一个,而是两个:一个是更明显但较弱的条件,要求谨慎度量为正,给定一个正的阿罗-普拉特风险规避度量;而另一个是更强但不那么明显的条件,要求谨慎度量大于相应的阿罗-普拉特度量的三倍。本文解释了出现这两个极端条件的原因,这两个极端条件限定了下行风险规避或等同于下行风险爱护的合理替代概念的范围,并探讨了下行风险规避的可能含义出现分歧的后果。
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Full downside risk aversion

It is shown that well-behaved notions of greater or less downside risk aversion, via utility transformations, lead not to just one, but two, dual, notions of absolute aversion to downside risk: one, the more evident but weaker condition, requires that the prudence measure be positive, given a positive Arrow–Pratt measure of risk aversion, whereas the other, stronger, but less obvious, condition requires that the prudence measure be greater than three times the corresponding Arrow–Pratt measure. The reason for the appearance of these two extreme conditions, bounding the spectrum of reasonable alternative notions of downside risk aversion, or equivalently of downside risk loving, are explained, and consequences of this divergence in the possible meanings of downside risk aversion are explored.

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来源期刊
Mathematical Social Sciences
Mathematical Social Sciences 数学-数学跨学科应用
CiteScore
1.30
自引率
0.00%
发文量
55
审稿时长
59 days
期刊介绍: The international, interdisciplinary journal Mathematical Social Sciences publishes original research articles, survey papers, short notes and book reviews. The journal emphasizes the unity of mathematical modelling in economics, psychology, political sciences, sociology and other social sciences. Topics of particular interest include the fundamental aspects of choice, information, and preferences (decision science) and of interaction (game theory and economic theory), the measurement of utility, welfare and inequality, the formal theories of justice and implementation, voting rules, cooperative games, fair division, cost allocation, bargaining, matching, social networks, and evolutionary and other dynamics models. Papers published by the journal are mathematically rigorous but no bounds, from above or from below, limits their technical level. All mathematical techniques may be used. The articles should be self-contained and readable by social scientists trained in mathematics.
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