Information Sources for Investment Decisions: Evidence from Japanese Investors

被引:1
作者
Lal, Sumeet [1 ]
Sulemana, Abdul-Salam [1 ]
Nguyen, Trinh Xuan Thi [1 ]
Khan, Mostafa Saidur Rahim [1 ]
Kadoya, Yoshihiko [1 ]
机构
[1] Hiroshima Univ, Sch Econ, 1-2-1 Kagamiyama, Higashihiroshima 7398525, Japan
来源
INTERNATIONAL JOURNAL OF FINANCIAL STUDIES | 2023年 / 11卷 / 04期
关键词
information sources; investment decisions; financial advisors; investment group; mass media; social media; Japan; FINANCIAL LITERACY; ADVICE;
D O I
10.3390/ijfs11040117
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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.
引用
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页数:18
相关论文
共 59 条
[1]  
[Anonymous], 2021, WSJ
[2]  
[Anonymous], 2021, CNBC
[3]  
[Anonymous], 2023, CNBC
[4]  
[Anonymous], 2016, Financial Advice Seeking, Financial Knowledge and Overconfidence
[5]  
Arti Gaur., 2011, Research Journal of Finance and Accounting, V2, P2222
[6]   The Wisdom of Twitter Crowds: Predicting Stock Market Reactions to FOMC Meetings via Twitter Feeds [J].
Azar, Pablo D. ;
Lo, Andrew W. .
JOURNAL OF PORTFOLIO MANAGEMENT, 2016, 42 (05) :123-134
[7]   Identification of information networks in stock markets [J].
Baltakien, Margarita ;
Kanniainen, Juho ;
Baltakys, Kestutis .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2021, 131
[8]   SELF-EFFICACY - TOWARD A UNIFYING THEORY OF BEHAVIORAL CHANGE [J].
BANDURA, A .
PSYCHOLOGICAL REVIEW, 1977, 84 (02) :191-215
[9]  
Barber BradM., 2000, Financial Analyst Journal, V56, P17, DOI DOI 10.2469/FAJ.V56.N1.2326
[10]   Can Twitter Help Predict Firm-Level Earnings and Stock Returns? [J].
Bartov, Eli ;
Faurel, Lucile ;
Mohanram, Partha S. .
ACCOUNTING REVIEW, 2018, 93 (03) :25-57