达尔文的逆向选择

IF 0.3 Q4 BUSINESS, FINANCE
Wolfgang Kuhle
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引用次数: 2

摘要

我们开发了一个模型来研究理性在经济学和生物学中的作用。模型中的代理人在做出理性选择的能力上持续存在差异。代理人的目标是确保他们的个体随着时间的推移而生存,或者,同样地,最大化利润。然而,在均衡状态下,使其客观生存概率最大化的理性主体,无论是个人还是集体,都被竞争力量所淘汰。而不是理性,出现了一种独特的非理性参与者分布,他们每个人都不适合生存斗争。非理性参与者对理性参与者的选择依赖于这样一个事实,即所有理性参与者都在同一个最优行动上进行协调,这使得他们整体上没有多样化,因此容易受到总风险的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Darwinian adverse selection
We develop a model to study the role of rationality in economics and biology. The model's agents differ continuously in their ability to make rational choices. The agents' objective is to ensure their individual survival over time or, equivalently, to maximize profits. In equilibrium, however, rational agents who maximize their objective survival probability are, individually and collectively, eliminated by the forces of competition. Instead of rationality, there emerges a unique distribution of irrational players who are individually not fit for the struggle of survival. The selection of irrational players over rational ones relies on the fact that all rational players coordinate on the same optimal action, which leaves them collectively undiversified and thus vulnerable to aggregate risks.
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来源期刊
Algorithmic Finance
Algorithmic Finance BUSINESS, FINANCE-
CiteScore
0.40
自引率
0.00%
发文量
6
期刊介绍: Algorithmic Finance is both a nascent field of study and a new high-quality academic research journal that seeks to bridge computer science and finance. It covers such applications as: High frequency and algorithmic trading Statistical arbitrage strategies Momentum and other algorithmic portfolio management Machine learning and computational financial intelligence Agent-based finance Complexity and market efficiency Algorithmic analysis of derivatives valuation Behavioral finance and investor heuristics and algorithms Applications of quantum computation to finance News analytics and automated textual analysis.
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