A new variance ratio test of random walk in emerging markets: A revisit

Using a nonparametric variance ratio (VR) test, we revisit the empirical validity of the random walk hypothesis in eight emerging markets in the Middle East and North Africa (MENA). After correcting for measurement biases caused by thin and infrequent trading prevalent in nascent and small stock mar...

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Main Authors: Al-Khazali, O., DING, David K., Pyun, C.S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/977
https://ink.library.smu.edu.sg/context/lkcsb_research/article/1976/viewcontent/ContentServer__1_.pdf
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spelling sg-smu-ink.lkcsb_research-19762017-08-14T08:47:26Z A new variance ratio test of random walk in emerging markets: A revisit Al-Khazali, O. DING, David K. Pyun, C.S. Using a nonparametric variance ratio (VR) test, we revisit the empirical validity of the random walk hypothesis in eight emerging markets in the Middle East and North Africa (MENA). After correcting for measurement biases caused by thin and infrequent trading prevalent in nascent and small stock markets, we cannot reject the random walk hypothesis for the MENA markets. We conclude that a nonparametric VR test is appropriate for emerging stock markets, and argue that our findings can reconcile previously contradictory results regarding the efficiency of MENA markets. [ABSTRACT FROM AUTHOR] 2007-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/977 info:doi/10.1111/j.1540-6288.2007.00173.x https://ink.library.smu.edu.sg/context/lkcsb_research/article/1976/viewcontent/ContentServer__1_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Emerging stock markets Random walk hypothesis Middle East and North Africa (MENA) stock markets Business
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Emerging stock markets
Random walk hypothesis
Middle East and North Africa (MENA) stock markets
Business
spellingShingle Emerging stock markets
Random walk hypothesis
Middle East and North Africa (MENA) stock markets
Business
Al-Khazali, O.
DING, David K.
Pyun, C.S.
A new variance ratio test of random walk in emerging markets: A revisit
description Using a nonparametric variance ratio (VR) test, we revisit the empirical validity of the random walk hypothesis in eight emerging markets in the Middle East and North Africa (MENA). After correcting for measurement biases caused by thin and infrequent trading prevalent in nascent and small stock markets, we cannot reject the random walk hypothesis for the MENA markets. We conclude that a nonparametric VR test is appropriate for emerging stock markets, and argue that our findings can reconcile previously contradictory results regarding the efficiency of MENA markets. [ABSTRACT FROM AUTHOR]
format text
author Al-Khazali, O.
DING, David K.
Pyun, C.S.
author_facet Al-Khazali, O.
DING, David K.
Pyun, C.S.
author_sort Al-Khazali, O.
title A new variance ratio test of random walk in emerging markets: A revisit
title_short A new variance ratio test of random walk in emerging markets: A revisit
title_full A new variance ratio test of random walk in emerging markets: A revisit
title_fullStr A new variance ratio test of random walk in emerging markets: A revisit
title_full_unstemmed A new variance ratio test of random walk in emerging markets: A revisit
title_sort new variance ratio test of random walk in emerging markets: a revisit
publisher Institutional Knowledge at Singapore Management University
publishDate 2007
url https://ink.library.smu.edu.sg/lkcsb_research/977
https://ink.library.smu.edu.sg/context/lkcsb_research/article/1976/viewcontent/ContentServer__1_.pdf
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