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Ranking market efficiency for stock markets: A nonlinear perspective

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  • Lim, Kian-Ping

Abstract

The present paper demonstrates, via a rolling sample approach, that the stylized fact of nonlinear dependence in stock returns is quite localized in time, suggesting that market efficiency evolves over time. Given that the rolling sample framework is able to detect periods of efficiency/inefficiency, the relative efficiency of stock markets can easily be assessed by comparing the total time windows these markets exhibit significant nonlinear serial dependence. It was found that the US market is the most efficient while Argentine is at the end of the ranking.

Suggested Citation

  • Lim, Kian-Ping, 2007. "Ranking market efficiency for stock markets: A nonlinear perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 445-454.
    • Handle: RePEc:eee:phsmap:v:376:y:2007:i:c:p:445-454
    DOI: 10.1016/j.physa.2006.10.013
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    References listed on IDEAS

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