Proceedings of the 17 th International Symposium on Management (INSYMA 2020)

Investor Behavioral Bias Based on Demographic Characteristics

Authors
J. Elizabeth, W.R. Murhadi, B.S. Sutejo
Corresponding Author
W.R. Murhadi
Available Online 31 January 2020.
DOI
10.2991/aebmr.k.200127.002How to use a DOI?
Keywords
behavioral bias, overconfidence bias, disposition effect, herding bias
Abstract

This study aims to examine the effect of demographic characteristics such as age, gender, income, and occupation on investor behavioral biases such as overconfidence bias, disposition effect, and herding bias. This research was conducted by distributing questionnaires to respondents who are 151 stock investors listed on the Indonesia Stock Exchange with a minimum age of 17 years. The results of the study showed that each dependent variable was at least influenced by one of the demographic characteristics. From the hypothesis test, it can be seen that overconfidence bias was influenced by gender and income. While the disposition effect was influenced by age, and the herding behavior bias was influenced by occupation.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 17 th International Symposium on Management (INSYMA 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
31 January 2020
ISBN
978-94-6252-892-5
ISSN
2352-5428
DOI
10.2991/aebmr.k.200127.002How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - J. Elizabeth
AU  - W.R. Murhadi
AU  - B.S. Sutejo
PY  - 2020
DA  - 2020/01/31
TI  - Investor Behavioral Bias Based on Demographic Characteristics
BT  - Proceedings of the 17 th International Symposium on Management (INSYMA 2020)
PB  - Atlantis Press
SP  - 6
EP  - 12
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200127.002
DO  - 10.2991/aebmr.k.200127.002
ID  - Elizabeth2020
ER  -