与个人行为偏差不同,群体行为偏差影响财务决策

IF 0.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IADIS-International Journal on Computer Science and Information Systems Pub Date : 2020-10-07 DOI:10.33965/ijcsis_2020150101
M. H. D. Brito, Paula Esteban do Valle Jardim
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引用次数: 0

摘要

这项工作提出了一种新的行为金融学方法,并通过实例提出和讨论了一系列群体行为偏差以及已建立的个人行为偏差,从而为行为偏差如何影响金融决策带来了额外的前景。虽然个体行为偏差在个体单独行动时被发现,但群体行为偏差需要对群体行为进行审查。这种意识对机构投资者来说可能特别重要,他们的决定基本上来自一个委员会或一个团体,这些委员会或团体在做出决定时,会表现出行为偏差,这取决于团体成员之间的互动方式,这可能包括谈判活动,不一定与个性或等级有关。对个人投资者决定个人投资的关注解释了行为金融学中已经发展起来的工作的需要,行为金融学关注个人行为偏差,这可能是认知错误或情感偏差的结果。然而,机构投资者的决策基本上来自一个委员会或一个群体,根据群体成员在决策时相互作用的方式,他们会表现出行为偏差。为了解决在群体中识别意外或不合适的财务决策的原因和后果的挑战,本工作首先检索了先前关于个人行为偏见的工作,将情感偏见和认知错误与“系统1”和“系统2”决策框架联系起来。然后,本文的一个概念性贡献(可能与机构投资者特别相关)是通过研究和经验,用例子解释群体行为偏差及其对财务决策的影响。在其他行为金融学著作中已经承认的个人行为偏差,在本著作中与建议的群体行为偏差进行了对比。此外,本研究表明群体行为偏差有两大类:群体动力学偏差和信息接受偏差。每种宽泛的类型又被细分为与群体结构相关的偏见和与群体决策过程如何发生相关的偏见。与群体结构方式相关的群体动力学偏差有以下几种:亲缘偏见(归属偏见)、和谐偏见和竞争偏见。另一方面,群体动力学偏差可以根据五种不同的决策过程进行分类,即:羊群偏见、时尚偏见、柏拉图偏见(否认偏见)、稀缺偏见和家乡偏见。
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GROUP BEHAVIORAL BIASES AFFECT FINANCIAL DECISIONS UNLIKE INDIVIDUAL BEHAVIORAL BIASES
This work presents a new approach to behavioral finance with a theoretical contribution by suggesting and discussing with examples a list of group behavioral biases along with established individual behavioral biases, bringing, hence, an additional outlook on how behavioral biases affect financial decisions. While individual behavioral biases are detected in individuals acting alone, group behavioral biases require the scrutiny of group behavior. This awareness may be particularly important to institutional investors, whose decisions basically stem from a committee or a group that will exhibit behavioral biases depending on how the group members interact between themselves when making a decision, which may include negotiation activities and not necessarily be related to personality or hierarchy. The focus on individual investors deciding on personal investments explain the need of work already developed in behavioral finance, which focus on individual behavioral biases, which may be a consequence from either cognitive errors or emotional biases. However, decisions from institutional investors basically stem from a committee or a group that will exhibit behavioral biases depending on how the group members interact between themselves when making a decision. To address the challenge of identifying causes and consequences for unexpected or unsuitable financial decision-making within a group, this work initially retrieves previous work on individual behavioral biases, linking emotional biases and cognitive errors to the “system 1” and “system 2” decision-making framework. Then, a conceptual contribution of this paper, which may be particularly relevant for institutional investors, is to explain with examples - after research and experience - which are the group behavioral biases and their impact upon financial decisions. Individual behavioral biases already acknowledged in other works on behavioral finance are contrasted in this work to the suggested group behavioral biases. Furthermore, this work suggests that there are two broad types of group behavioral biases: group dynamics biases and information-acceptance biases. Each broad type is subdivided into biases related to the structure of the group and biases related to how the group decision-making procedure occurs. Group dynamics biases related to the manner the group is structured are the following: kin bias (belonging bias), harmony bias, and competition bias. On the other hand, group dynamics biases may be sorted according to five different decision-making procedures, namely: herding, fad bias, Plato bias (denial bias), scarcity bias, and home bias.
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IADIS-International Journal on Computer Science and Information Systems
IADIS-International Journal on Computer Science and Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
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