The Stock Market between Classical and Behavioral Hypotheses: An Empirical Investigation of the Warsaw Stock Exchange

Mostafa Raeisi Sarkandiz and Robabeh Bahlouli
Additional contact information
Mostafa Raeisi Sarkandiz: University of Tabriz, Department of Economics and Management
Robabeh Bahlouli: University of Tabriz, Department of Economics and Management

Econometric Research in Finance, 2019, vol. 4, issue 2, 67-88

Abstract: In empirical studies of the efficient market hypothesis using a classic approach, attention has generally been paid to the weak form of performance; other aspects of efficiency, such as informational efficiency, have not been addressed. Also, the study of alternative theories, such as behavioral hypotheses, is neglected. This article seeks to investigate not only the weak and informational forms of the efficient market hypothesis, but also to test the adaptive and fractal market hypotheses as two alternative theories by conducting an empirical study on the Warsaw Stock Exchange.

Keywords: efficient market hypothesis; informational efficiency; adaptive market hypothesis; fractal market hypothesis; Warsaw Stock Exchange (search for similar items in EconPapers)
JEL-codes: C12 G14 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://erfin.org/journal/index.php/erfin/article/view/71 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:sgh:erfinj:v:4:y:2019:i:2:p:67-88

DOI: 10.33119/ERFIN.2019.4.2.1

Access Statistics for this article

Econometric Research in Finance is currently edited by Dobromił Serwa and Piotr Wdowiński

More articles in Econometric Research in Finance from SGH Warsaw School of Economics, Collegium of Economic Analysis Contact information at EDIRC.
Bibliographic data for series maintained by Dobromił Serwa ().