Nguyen Huan Huu, Ngo Vu Minh, Le Thao Thi Phuong, Nguyen Phuc Van
University of Economic Ho Chi Minh City, School of Banking, Address: 59C Nguyen Dinh Chieu Street, Ward 6, District 3, Ho Chi Minh City, Viet Nam.
University of Banking Ho Chi Minh City (HUB), 36 Ton That Dam Street, Nguyen Thai Binh Ward, District 1, Ho Chi Minh City, Viet Nam.
Heliyon. 2023 Apr 5;9(4):e15273. doi: 10.1016/j.heliyon.2023.e15273. eCollection 2023 Apr.
This study uses experiments and surveys from 146 participants who participated in equity trading to explore the predictive power of the Big-five personality traits, social behaviours, along with self-attribution and demographic characteristics on trading performance. Interestingly, we found that investors who are more open and neurotic gain higher returns compared to the market benchmark. We also found that other social traits are associated with the effectiveness of stock trading, such as awareness of social and ethical virtues (fairness and politeness). Moreover, instead of using separate characteristics, this study employs machine learning to cluster these personal features to understand the interconnection between socioeconomic determinants and financial decisions. This study contributes new evidence to the existing literature that personalities could explain trading performance.
本研究采用对146名参与股票交易的参与者进行实验和调查的方式，来探究大五人格特质、社会行为以及自我归因和人口统计学特征对交易表现的预测能力。有趣的是，我们发现，与市场基准相比，更具开放性和神经质的投资者能获得更高的回报。我们还发现，其他社会特质与股票交易的有效性相关，比如对社会和道德美德（公平和礼貌）的认知。此外，本研究并非使用单独的特征，而是运用机器学习对这些个人特征进行聚类，以理解社会经济决定因素与金融决策之间的相互联系。本研究为现有文献贡献了新的证据，即人格特质能够解释交易表现。
