接近52周高点和风险回报权衡

IF 2.3 3区 经济学 Q2 ECONOMICS
Journal of Economic Dynamics & Control Pub Date : 2026-04-01 Epub Date: 2026-02-03 DOI:10.1016/j.jedc.2026.105286
Xingyu Chen , Zilin Chen , Jun Tu , Liyao Wang , Luying Wang
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引用次数: 0

摘要

传统的资产定价理论认为风险与收益呈正相关,而实证研究往往发现风险与预期收益呈负相关。在本文中,我们发现了一个独特的模式:远离其52周高点的股票之间的负风险回报关系,而接近其52周高点的股票之间的正关系。我们认为,这种横断面异质性的产生是因为投资者相对于52周高点评估股票,当价格远低于这一基准时,他们变得寻求风险,而当价格接近这一基准时,他们变得厌恶风险。我们探索了这一现象的各种可能的解释,但没有找到经验支持。总的来说,我们的研究结果为理解风险回报权衡引入了一种新的心理学视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proximity to the 52-week high and the risk-return trade-off
Traditional asset pricing theory suggests a positive risk-return relationship, while empirical studies often find a negative association between risk and expected returns. In this paper, we uncover a unique pattern: a negative risk-return relationship among stocks far from their 52-week high prices and a positive relationship among stocks close to their 52-week high prices. We propose that this cross-sectional heterogeneity arises because investors evaluate stocks relative to the 52-week high, becoming risk-seeking when prices are far below this benchmark and risk-averse when prices are near it. We explore various potential explanations for this phenomenon but find no empirical support. Overall, our findings introduce a novel psychological perspective for understanding the risk-return trade-off.
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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