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Ranking efficiency for twenty-six emerging stock markets and financial crisis: evidence from the shannon entropy approach

机译:26个新兴股票市场和金融危机的排名效率:香农熵方法的证据

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In this paper the evolution of a weak-form efficiency for twenty six emerging stock markets is tested. To do this, a modified Shannon entropy and a Symbolic Time Series Analysis are employed over the period September 1997 to November 2007. A regression is performed for time windows with 100 observations and a rolling sample approach. The empirical results show that stock market efficiency changes over time and differs from one market to another and across geographic areas. For example, the Argentinian market is a more efficient market whereas the Tunisian stock market is less efficient. The inefficiency in stock markets is dynamic. Furthermore, a negative relationship was found between the financial crisis and stock market efficiency. The findings of this evolving market efficiency may be attributed to microstructure variables. These results have several implications for stock portfolio hedgers and policy makers.
机译:本文测试了26个新兴股票市场弱形式效率的演变。为此,在1997年9月至2007年11月期间采用了改进的Shannon熵和符号时间序列分析。对具有100个观测值和滚动样本方法的时间窗进行了回归。实证结果表明,股票市场效率会随着时间而变化,并且从一个市场到另一个市场以及跨地理区域都不同。例如,阿根廷市场是一个更有效率的市场,而突尼斯股票市场是效率较低的市场。股票市场的低效率是动态的。此外,在金融危机和股票市场效率之间发现负相关关系。不断发展的市场效率的发现可能归因于微观结构变量。这些结果对股票投资组合套期保值者和政策制定者有一些影响。

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