Stock market behaviour: efficient or adaptive? Evidence from the Pakistan Stock Exchange
by Muhammad Naeem Shahid; Semei Coronado; Abdul Sattar
Afro-Asian J. of Finance and Accounting (AAJFA), Vol. 9, No. 2, 2019

Abstract: The study empirically investigates the adaptive market hypothesis (AMH) in the Pakistan stock market over the period of 1992 to 2015. Daily data of returns (KSE-100) is divided into eight sub-samples of equal length of three years each and into different market conditions and are subjected to linear/nonlinear tests to elucidate how market-efficiency has behaved over time and whether a relationship exists between market conditions and levels of return predictability. The tests reveal that returns have gone through periods of dependence and independence over eight sub-samples thus Pakistan Stock Exchange is an adaptive market and consistent with the AMH. Furthermore, certain market conditions are more conducive to the predictability of returns as market conditions have also gone through episodes of significant dependence and independence of return predictability, which is also consistent with the AMH. Therefore, overall results of the study suggest that the AMH better elucidates the behaviour of stock returns than conventional efficient market hypothesis (EMH).

Online publication date: Tue, 07-May-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the Afro-Asian J. of Finance and Accounting (AAJFA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com