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Applied Economics and Finance
Article . 2015 . Peer-reviewed
Data sources: Crossref
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Variance Ratio Tests of The Random Walk in The BRVM

Authors: Konan L¨¦on N'DRI;

Variance Ratio Tests of The Random Walk in The BRVM

Abstract

The hypothesis that a stock market price index follows a random walk is tested for the regional stock market of the West African Economic and Monetary Union called the Bourse Regionale des Valeurs Mobilieres (BRVM) using the Lo and MacKinlay (1988), the Chow and Denning (1993), and the Wright’s (2000) rank-based variance ratio tests. The tests are applied to daily stock price index over the period January 2, 2002 to December 31, 2004, and all three tests reveals that the null hypothesis of random walk can not be rejected in the BRVM. This result is an indication that the BRVM is weak form efficiency and has various implications for investors and regulators. The first would engage their savings into productive investments opportunities and the second will limit their intervention as securities are fairly priced.

Keywords

Stock market efficiency, Random walk hypothesis, Variance ratio tests, BRVM., jel: jel:G14, jel: jel:G15, jel: jel:C14

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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