Information Sources for Investment Decisions: Evidence from Japanese Investors

Author:

Lal Sumeet1,Sulemana Abdul-Salam1ORCID,Nguyen Trinh Xuan Thi1ORCID,Khan Mostafa Saidur Rahim1ORCID,Kadoya Yoshihiko1ORCID

Affiliation:

1. School of Economics, Hiroshima University, 1-2-1 Kagamiyama, Higashihiroshima 7398525, Japan

Abstract

Although the traditional sources of financial knowledge in Japan are financial advisors and investment groups, the digital era and artificial intelligence have made other sources of information, such as social media and mass media, more influential. As such, it has become important to examine the socioeconomic, demographic, and psychological factors influencing the use of these information sources in the context of investment decisions. However, little research has been carried out to examine such associations using a large-scale nationwide dataset. We fill this gap by utilizing a dataset comprising almost 65,000 active investors from one of the largest online security companies in Japan, ensuring the representativeness and generalizability of our results. We show that active investors are more inclined to use social media and mass media than financial advisors and investment groups. The probit regression model shows that the use of each of the four sources of information is strongly shaped by an individual’s characteristics, which, to some extent, are not mutually exclusive for each source type. The study results imply that the government should regulate and monitor the quality and accuracy of the information disseminated by mass media and social media and educate investors on how to critically evaluate and verify the information that they receive.

Funder

JSPS KAKENHI

Publisher

MDPI AG

Subject

Finance

Reference59 articles.

1. Difference in Gender Attitude in Investment Decision Making in India;Arti;Research Journal of Finance and Accounting,2011

2. The Wisdom of Twitter Crowds: Predicting Stock Market Reactions to FOMC Meetings via Twitter Feeds;Azar;Journal of Portfolio Management,2016

3. Identification of Information Networks in Stock Markets;Kanniainen;Journal of Economic Dynamics and Control,2021

4. Self-efficacy: Toward a Unifying Theory of Behavioral Change;Bandura;Psychological Review,1977

5. Too Many Cooks Spoil the Profits: The Performance of Investment Clubs;Barber;Financial Analysts Journal,2000

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3