性别股票交易绩效:分位数回归模型的应用

R. Braga, Luis Paulo Lopes Fávero, Talles Vianna Brugni, Joanília Neide de Sales Cia
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引用次数: 0

摘要

我们的研究试图确定男性和女性在股票投资决策中是否存在绩效差异。我们使用实验方法,并依靠1050名志愿者的参与,他们在虚拟环境中做出决策,类似于股票交易的真实在线家庭经纪人。通过分位数回归模型,我们发现有证据表明,当决策涉及收益时,女性获得的结果低于男性。当决策涉及损失时,女性的损失与男性一样多。这些结果证明了与性格和禀赋效应相关的行为偏见,以及与损失厌恶相关的方面。因此,我们在行为金融领域做出了贡献,特别是在性别多样性文献方面,这在几项研究中引起了争议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance in stock transactions by gender: an application with quantile regression models
Our study tries to identify if there are performance differences between men and women in stock investment decisions. We use experimental methodology and count on the participation of 1,050 volunteers who took decisions in virtual environment, similar to a real online home broker for stock trading. Through quantile regression models, we have found evidence that women get results lower than men when decisions involve gains when decisions involve losses, women lose as much as men. These results demonstrate behavioural biases associated with disposition and endowment effects, as well as aspects related to loss aversion. As a result, we present a contribution on the field of behavioural finance, especially on the literature of gender diversity, which presents a controversial debate in several studies.
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