EconPapers    
Economics at your fingertips  
 

A GARCH model for testing market efficiency

Paresh Narayan (), Ruipeng Liu and Joakim Westerlund

Journal of International Financial Markets, Institutions and Money, 2016, vol. 41, issue C, 121-138

Abstract: In this paper we propose a generalised autoregressive conditional heteroskedasticity (GARCH) model-based test for a unit root. The model allows for two endogenous structural breaks. We test for unit roots in 156 US stocks listed on the NYSE over the period 1980 to 2007. We find that the unit root null hypothesis is rejected in 40% of the stocks, and only in four out of the nine sectors the null is rejected for over 50% of stocks. We conclude with an economic significance analysis, showing that mostly stocks with mean reverting prices tend to outperform stocks with non-stationary prices.

Keywords: Efficient market hypothesis; GARCH; Unit root; Structural break; Stock price (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (43)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042443115001213
Full text for ScienceDirect subscribers only

Related works:
Working Paper: A GARCH model for testing market efficiency (2015) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:intfin:v:41:y:2016:i:c:p:121-138

DOI: 10.1016/j.intfin.2015.12.008

Access Statistics for this article

Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely

More articles in Journal of International Financial Markets, Institutions and Money from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-24
Handle: RePEc:eee:intfin:v:41:y:2016:i:c:p:121-138