Proceedings of the International Conference on Business and Management Research (ICBMR 2017)

The Analysis of Herding Behavior in Indonesia and Singapore Stock Market

Authors
Aditya Andika Putra, Eko Rizkianto, Dony Abdul Chalid
Corresponding Author
Aditya Andika Putra
Available Online November 2017.
DOI
10.2991/icbmr-17.2017.19How to use a DOI?
Keywords
Herding Behavior, International Financial Market, Financial Crisis
Abstract

This research aims to examine the presence of herding behavior in Indonesia and Singapore stock markets. Using CCK method and daily data of the stock population in both country's stock markets on the period of 1996-2015, this research finds the evidence of herding behavior in Indonesia and Singapore. Moreover, this research found that herding behavior in Indonesia is stronger than in Singapore. However, this study was unable to find the evidence of whether there are herding spillover from Indonesia stock market to Singapore, vice versa.

Copyright
© 2017, 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 International Conference on Business and Management Research (ICBMR 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
November 2017
ISBN
10.2991/icbmr-17.2017.19
ISSN
2352-5428
DOI
10.2991/icbmr-17.2017.19How to use a DOI?
Copyright
© 2017, 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  - Aditya Andika Putra
AU  - Eko Rizkianto
AU  - Dony Abdul Chalid
PY  - 2017/11
DA  - 2017/11
TI  - The Analysis of Herding Behavior in Indonesia and Singapore Stock Market
BT  - Proceedings of the International Conference on Business and Management Research (ICBMR 2017)
PB  - Atlantis Press
SP  - 197
EP  - 206
SN  - 2352-5428
UR  - https://doi.org/10.2991/icbmr-17.2017.19
DO  - 10.2991/icbmr-17.2017.19
ID  - Putra2017/11
ER  -