Stock market efficiency in Iran: unit root testing with smooth structural breaks and non-trading days
Vincent Daly and
Seyyed Ali Paytakhti Oskooe (oskooe@yahoo.com)
No 2015-6, Economics Discussion Papers from School of Economics, Kingston University London
Abstract:
A ‘flexible Fourier trend’ unit root test, permitting smooth structural breaks of unknown form and dates, is used to test weak-form market efficiency in the Tehran stock market’s TEPIX index. Monte Carlo experiments show that this test has low power when non-trading-day gaps in the daily data are filled with missing value codes. The test’s properties for weekly returns and for data as published, with non-trading-day gaps suppressed, are better and similar to each other. Analysis of the full sample of TEPIX data as published supports a unit root null but indicates the presence of additional autocorrelation – questioning weak-form efficiency. Sub-sample analysis again finds evidence of a unit root, but also of complex autocorrelation. Support for the unit root increased in the years (2000-2004) following regulatory reform and has decreased since 2008. A Diebold and Mariano (1995) test is used to assess whether the revealed autocorrelation provides an effective basis for predicting price deviations from trend on the basis of their own history. Predictive effectiveness is found at a horizon of one trading day. We conclude that this market has not shown weak-form efficiency.
Keywords: Market efficiency; Unit root tests; Structural breaks; Non-trading days (search for similar items in EconPapers)
JEL-codes: C22 G12 O16 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2015-09-08
New Economics Papers: this item is included in nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://eprints.kingston.ac.uk/32404/1/2015_006.pdf Full text (application/pdf)
Related works:
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:ris:kngedp:2015_006
Access Statistics for this paper
More papers in Economics Discussion Papers from School of Economics, Kingston University London Kingston University London, School of Economics, Penrhyn Road, Kingston upon Thames, Surrey, KT1 2EE, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Andrea Ingianni (a.ingianni@kingston.ac.uk).