周期效率与-à-vis市场条件:以卡萨布兰卡证券交易所为例

Adefemi A. Obalade, R. Nhlapho, P. Muzindutsi
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摘要

摘要:在适应性市场假说的背景下,市场效率必然会随着市场条件的变化而变化。目前的文献对AMH在摩洛哥证券交易所没有显示变化的效率和市场条件之间的联系。为了填补这一空白,本研究调查了市场效率是否随时间周期性变化;并评估了市场条件对卡萨布兰卡证券交易所收益可预测性的影响。本研究应用了市场状况的两种定义,即涨跌与牛市、熊市和正常状况。此外,2007年全球金融危机和政治气氛作为影响回报可预测性的基本条件进行了审查。为了实现研究目标,我们分析了1998年1月至2018年2月的每日股票收益。我们采用ADF、KPSS、自相关、方差比和Brock、Dechert和Schieinkman (BDS)检验等线性和非线性检验工具来跟踪市场效率的时间变化。这些测试是通过使用滚动窗口方法来获得每月回报可预测性的度量来实现的。随后,利用虚拟回归模型评估了市场条件对收益可预测性的影响。首先,通过描述性统计、单位根检验、平稳性检验、自相关检验、方差比检验和BDS检验,证明摩洛哥股票市场弱形式效率具有自适应性。换句话说,回归相关性,特别是非线性相关性,随着时间的推移与独立性相互交换。其次,2007/2008年金融危机期间的可预测性较高,而政治局势紧张期间的可预测性较低。综上所述,我们发现卡萨布兰卡证券交易所表现出时变的效率,金融危机和政治氛围(大选)是导致市场效率低下的关键条件。这些发现符合AMH的假设,我们建议市场参与者在与股票市场互动时考虑市场条件的时变行为和影响。这表明投资者的交易策略必须适应不断变化的环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cyclical Efficiency vis-à-vis Market Conditions: A Case of Casablanca Stock Exchange
ABSTRACT:In the context of the Adaptive Market Hypothesis (AMH), market efficiency is bound to change in relation to market conditions. Current literature on the AMH in the Moroccan stock exchange does not show the linkage between changing efficiency and market conditions. To fill this vacuum, this study investigated whether market efficiency changed in a cyclical version over time; and evaluated the effect of market conditions on return predictability in the Casablanca Stock Exchange. This study applied two definitions of market condition, namely the up and down versus bull, bear and normal conditions. In addition, the 2007 global financial crisis and political atmosphere were examined as fundamental conditions influencing return predictability. To achieve the objectives of the study, we analyzed daily stock returns from January 1998 to February 2018. We tracked time-variation in market efficiency by employing both the linear and nonlinear testing tools ranging from ADF, KPSS, autocorrelation, variance ratio and the Brock, Dechert and Schieinkman (BDS) tests. These tests were implemented by using a rolling window approach to derive monthly measures of return predictability. Subsequently, the dummy regression model was used to evaluate the market condition effect on return predictability. First, we showed that the weak-form efficiency of the Moroccan stock market is adaptive through the descriptive statistics, unit root, stationarity, autocorrelation, variance ratio and BDS tests. In other words, return dependence, particularly the nonlinear dependence, interchanges with independence over time. Secondly, there is high predictability during the 2007/2008 financial crisis and low predictability during the tense political condition. In conclusion, we found that the Casablanca Stock Exchange exhibits time-varying efficiency and that financial crisis and political atmosphere (general election) constitute key conditions that contribute to market inefficiency. These findings conform to the postulation of AMH, and we recommend that the time-varying behavior and effect of market conditions be considered by market participants in their interaction with the stock market. This suggests that investors' trading strategies must be adaptive to suit changing conditions.
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