Slabá forma efektivnosti českého akciového trhu
Weak-form efficiency test in the czech equity market
Jan Hájek
Politická ekonomie, 2002, vol. 2002, issue 3
Abstract:
This study tests the hypothesis of the weak form of capital market efficiency in the Czech Republic. Select statistical-econometric methods were applied to time series of daily, weekly and two-week stock and indices returns over 1995 - 2001. Results from Serial Correlation, Box-Pierce, and Variance Ratio tests provide evidence that a random-walk hypothesis cannot be validated with respect to the daily returns. The weak form of efficiency on the Czech equity market was not thus proved. However, positive development toward higher efficiency was identified. Since the launching of a new price-driven market system (SPAD) on the Prague Stock Exchange - based on market makers' quotations and which has improved stock liquidity - Czech market characteristics have significantly approached those of markets traditionally considered the most efficient.
Keywords: equity market; market efficiency; random walk; market behaviour; weak-form efficiency tests; time-series analysis (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:
Downloads: (external link)
http://polek.vse.cz/doi/10.18267/j.polek.365.html (text/html)
free of charge
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:prg:jnlpol:v:2002:y:2002:i:3:id:365
Ordering information: This journal article can be ordered from
Redakce Politické ekonomie, Vysoká škola ekonomická, nám. W. Churchilla 4, 130 67 Praha 3
http://polek.vse.cz
DOI: 10.18267/j.polek.365
Access Statistics for this article
Politická ekonomie is currently edited by Jiřina Bulisová
More articles in Politická ekonomie from Prague University of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Stanislav Vojir ().