Cognitive biases, Robo advisor and investment decision psychology: An investor's perspective from New York stock exchange

IF 2.1 4区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
Usman Ahmad , Maurice Van Keulen , Alexia Briassouli , Muhammad Saad
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Abstract

Investment decision making is a systematic process that becomes complex due to cognitive biases and risk perceptions. For rational investment decision making, the investors in the New York Stock Exchange (NYSE) tend to seek automated investment solutions through Robo Advisors and the volume of such trades is mounting. However, there is dearth of studies that depict the role of cognitive biases, Robo Advisor and risk perception in investment decision psychology. Therefore, this study aims to empirically investigate the impact of cognitive biases on investment decision making of investors with the underlying role of risk perception and moderating role of Robo Advisors. The study applies the time lag research design to analyze the mediation and moderation conceptual model through structural equation modeling by using SMART PLS. The data is collected through survey questionnaire from individual investors who trade at NYSE. The empirical findings of structural equation modeling revealed that availability, price anchoring, loss aversion, representative and overconfidence bias impact the risk perception, and the investment decision making. Furthermore, Robo Advisor significantly moderates the relationship between all the cognitive biases and investment decision making, except for overconfidence bias. In addition, this research provides novel contributions to the theory as it links cognitive biases with investment decision through risk perception that develops an underlying mechanism to channelize the impact of cognitive biases on investment decision making. Likewise, inclusion of robo-advisors highlights the crucial role that contributes to weakening the adverse effect of cognitive biases on investment decision making in technology driven financial market. The results are valuable for investors as they get a clear vision of the impact of biases and risk perception during their investment decision making. This research also suggests that investors should use Robo Advisor to minimize their investment risk and to overcome the impact of cognitive biases in their investment decisions.
认知偏差、机器人顾问与投资决策心理学:来自纽约证券交易所的投资者视角
投资决策是一个系统的过程,由于认知偏差和风险感知而变得复杂。为了理性的投资决策,纽约证券交易所(NYSE)的投资者倾向于通过Robo Advisors寻求自动化的投资解决方案,这类交易的数量正在增加。然而,缺乏描述认知偏差、Robo Advisor和风险感知在投资决策心理学中的作用的研究。因此,本研究旨在通过风险感知的潜在作用和Robo Advisors的调节作用,实证研究认知偏差对投资者投资决策的影响。本研究采用SMART PLS结构方程模型,运用时滞研究设计对中介与调节概念模型进行分析,数据通过对纽交所个人投资者的问卷调查收集。结构方程模型的实证结果表明,可得性、价格锚定、损失厌恶、代表性和过度自信偏差影响风险感知和投资决策。此外,Robo Advisor显著调节了所有认知偏差与投资决策之间的关系,除了过度自信偏差。此外,本研究为该理论提供了新的贡献,因为它通过风险感知将认知偏差与投资决策联系起来,从而开发了一种潜在的机制来引导认知偏差对投资决策的影响。同样,机器人顾问的加入凸显了在技术驱动的金融市场中,认知偏见对投资决策的不利影响的关键作用。这些结果对投资者来说很有价值,因为他们可以清楚地了解偏见和风险感知在投资决策中的影响。本研究还表明,投资者应该使用Robo Advisor来最小化他们的投资风险,并克服认知偏见对他们投资决策的影响。
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来源期刊
Acta Psychologica
Acta Psychologica PSYCHOLOGY, EXPERIMENTAL-
CiteScore
3.00
自引率
5.60%
发文量
274
审稿时长
36 weeks
期刊介绍: Acta Psychologica publishes original articles and extended reviews on selected books in any area of experimental psychology. The focus of the Journal is on empirical studies and evaluative review articles that increase the theoretical understanding of human capabilities.
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