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Weak-Form Efficiency Test In The Central European Capital Markets

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Author Info
Jan Hájek
Abstract

This study thoroughly analyzes the stock market efficiency hypothesis - its weak form - in the Czech Republic, Poland and Hungary in 1995-2005. It aims to reveal whether trading on historical information about stock prices or indices may lead to economically significant abnormal profits and whether the analyzed markets are comparably efficient. It also tests relative efficiency of the Central European markets compared to developed capital markets that are considered the most effective - the American NYSE, German and Netherlands stock exchanges. Complexity of the results is enhanced by analyzing daily, weekly and monthly returns of both the major regional indices - the Czech PX-50 and PX-D, Hungarian BUX and Polish WIG20 - and individual shares that constitute the indices. Moreover, consequences of the non-synchronous trading for autocorrelations are discussed. In conclusion, the Central European region must be considered as a heterogeneous market. While the Hungarian market generally complies with the hypothesis and behaves weakly efficient, significant linear dependences are typical for the Czech stock market. Some unsystematic departures from the random walk model persist in Poland and the efficiency market hypothesis can not be validated there. Any abnormally profitable investment strategy that exploits technical analysis should thus avoid Hungarian stocks and exploit short-term dependences on the Czech and, to a lesser extant, Polish stock market.

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Publisher Info
Article provided by University of Economics, Prague in its journal Politická ekonomie.

Volume (Year): 2007 (2007)
Issue (Month): 6 ()
Pages: 773-791
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Handle: RePEc:prg:jnlpol:v:2007:y:2007:i:6:id:623:p:773-791

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Related research
Keywords: variance ratio test; relative market efficiency; random walk model; non-synchronous trading; heteroskedasticity; efficiency market hypothesis; Central European stock markets; weak-form market efficiency;

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies

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