感知COVID-19中断、人格特征和风险感知在决定散户投资者投资行为中的作用:一种混合回归-神经网络方法

IF 1.8 Q2 ECONOMICS
Arfat Manzoor, Andleebah Jan, Mohammad Shafi, Mohammad Ashraf Parry, Tawseef Mir
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引用次数: 1

摘要

目的本研究旨在评估人格特质、风险感知和感知2019冠状病毒病(COVID-19)中断对印度股市个人投资者投资行为的影响。设计/方法/方法本研究采用调查方法。样本包括315名投资印度证券交易所的活跃散户投资者。采用两阶段分析技术回归和人工神经网络(ANN)对数据进行分析。通过回归检验研究假设,并采用人工神经网络对回归结果进行验证。建立了两个回归模型来检验研究假设。结果显示,风险感知和新冠病毒破坏对短期投资决策有显著的正向影响,神经质对短期投资决策有显著的负向影响,而尽责性对短期投资决策的影响不显著。结果还显示,神经质和尽责性对长期投资决策有积极影响,风险感知对长期投资决策有消极影响。在预测长期投资决策方面,COVID-19中断的作用是负面的,但不显著。实际意义本研究对散户投资者、金融顾问和政策制定者等各方具有实际意义。本研究将帮助投资者认识到,他们并不总是采取理性的财务决策。本研究将建议财务顾问运用行为金融学的知识来制定财务顾问的咨询和财富管理决策。本研究还将帮助决策者概述在行为上知情的政策决定,以保护投资者的利益。印度是世界上快速增长的经济体之一。印度拥有大量活跃的投资者,确定投资者的投资行为为本研究增加了新颖性,因为发达经济体仍然是以往研究的主要焦点。本研究的另一个新颖之处在于,本研究试图评估COVID-19中断以及人格特征和风险感知对投资行为的影响。本研究的另一个有价值的因素是使用人工神经网络来预测外生变量的相对重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of perceived COVID-19 disruption, personality traits and risk perception in determining the investment behavior of retail investors: a hybrid regression-neural network approach
PurposeThis study aims to assess the impact of personality traits, risk perception and perceived coronavirus disease 2019 (COVID-19) disruption on the investment behavior of individual investors in the Indian stock market.Design/methodology/approachThis study adopts a survey approach. The sample comprises 315 active retail investors investing in the Indian stock exchange. Two-stage analysis technique regression and Artificial Neural Network (ANN) were used for data analysis. Study hypotheses were tested through regression and ANN was adopted to validate the regression results.FindingsTwo regression models were modeled to test the research hypotheses. Findings showed that risk perception and COVID-19 disruption have a significant positive and neuroticism has a significant negative impact on short-term investment decisions, while the role of conscientiousness in determining short-term investment decisions was not found significant. Results also showed a positive impact of neuroticism and conscientiousness and a negative impact of risk perception on long-term investment decisions. The role of COVID-19 disruption was found negative but insignificant in predicting long-term investment decisions.Practical implicationsThis study has practical implications for many parties like retail investors, financial advisors and policymakers. This study will assist the investors to realize that they do not always take rational financial decisions. This study will suggest the financial advisors to use the knowledge of behavioral finance in making the advisors' advisory and wealth management decisions. This study will also assist the policymakers to outline behaviorally well-informed policy decisions to protect the interests of investors.Originality/valueIndia is one of the fast-growing economies in the world. India has a vast population of active investors and determining investors' investment behavior adds novelty to this study as developed economies have remained the main focus of previous studies. The other novel feature of this study is that this study tries to assess the impact of COVID-19 disruption along with personality traits and risk perception on investment behavior. The other valuable factor of this study is the use of ANN to predict the relative importance of the exogenous variables.
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来源期刊
CiteScore
1.80
自引率
5.60%
发文量
83
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