
Applying transfer entropy approach to investigate the information flow among ASEAN stock markets
Author(s) -
Tran Thi Tuan Anh
Publication year - 2020
Publication title -
khoa học và công nghệ: kinh tế - luật - quản lý
Language(s) - English
Resource type - Journals
ISSN - 2588-1051
DOI - 10.32508/stdjelm.v4i1.604
Subject(s) - stock (firearms) , transfer entropy , stock market , capital market , business , information transfer , stock market index , stock exchange , financial economics , economics , international economics , finance , geography , principle of maximum entropy , computer science , context (archaeology) , archaeology , telecommunications , artificial intelligence
This paper uses transfer entropy to measure and identify the information flows between stock markets in the ASEAN region. Data on daily closing stock indices, including Vietnam, the Philippines, Malaysia, Indonesia, Thailand, and Singapore, are collected for the period from March 2012 to October 2019 to calculate these transfer entropies. The research results of this article can be considered in two aspects: one is, how information flow originating from one market will be accepted by other markets and secondly, information flow that markets receive. From the perspective of incoming transfer entropy, Vietnam is the country most affected by information from the other ASEAN markets while Indonesia and Malaysia are the least affected. In terms of outgoing entropy, Thailand is the largest source of information flow to the ASEAN markets. Malaysia and the Philippines are the two countries that receive minor information impact from other countries. The research also reveals that the Singapore stock market is rather separate from the other ASEAN countries. The research results also imply that, for investors and policymakers, defining the information flows among ASEAN stock markets can help to predict market movements, thereby developing a suitable investment strategy or establishing appropriate management policies.