A multivariate test for stock market efficiency: the case of ASE
AbstractMarket efficiency tests in developing markets display mixed evidence, in contrast to evidence on developed markets where the null hypothesis seems to be supported. Specifically, previous tests for market efficiency on the index and on samples of stocks traded in the Athens Stock Exchange (ASE) are broadly not supportive of the efficient market hypothesis. This paper introduces multivariate generalizations of the univariate Dickey-Fuller likelihood ratio tests to the class of Seemingly Unrelated Regressions, to investigate empirically the stock price efficiency of ASE. The method takes into account the contemporaneous correlation between stocks in the ASE, and avoids the sample biases which may result by considering only subsets of stocks listed in the exchange. Conclusively, the results confirm that the ASE is informationally inefficient, implying that past stock prices contain some information as to future price movements which investors may act on.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Financial Economics.
Volume (Year): 11 (2001)
Issue (Month): 5 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAFE20
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Majumder, Debasish, 2012. "When the market becomes inefficient: Comparing BRIC markets with markets in the USA," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 84-92.
- Anastassios A. Drakos & Georgios P. Kouretas & Leonidas P. Zarangas, 2010. "Forecasting financial volatility of the Athens stock exchange daily returns: an application of the asymmetric normal mixture GARCH model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 331-350.
- Lim, Kian-Ping & Brooks, Robert D. & Kim, Jae H., 2008. "Financial crisis and stock market efficiency: Empirical evidence from Asian countries," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 571-591, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.