Weak-form market efficiency and corruption: a cross-country comparative analysis

Özgür İcan, T. Çelik
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Abstract

PurposeThe economic and administrative conditions of countries normatively have an effect on the economy and level of market development. Moreover, it is of great importance for a healthy economy whether the public institutions and organizations are transparent and functioning in accordance with their purpose. The aim of this study is to show whether there is a relationship between transparency and market efficiency.Design/methodology/approachCorrelation analysis has been conducted between prediction accuracy rates, which are obtained by seven different machine learning algorithms and Corruption Perception Index (CPI) levels.FindingsIt has been statistically shown that the indices of countries with low corruption levels are harder to predict, which, in turn, can be interpreted as having higher weak-form market efficiency. According to that, an intermediate negative correlation has been found between CPI scores and predictability levels of stock indices. Considering the findings, it can be interpreted that the markets of countries with relatively more transparent and well-functioning public sector have more weak-form market efficiency.Research limitations/implicationsThe study can be extended with cutting-edge machine learning and deep learning techniques in future studies. There are very few studies which try to explain factors related to market efficiency. Thus, the authors claim that there is still room for further research in order to determine the factors related to market efficiency, implying that current literature is still far from explaining the causation behind the inefficiencies.Practical implicationsAccording to findings, the markets of countries with relatively more transparent and well-functioning public sector have more weak-form market efficiency. Based on these findings, in practice, it can be said that more successful predictions can be made using machine learning algorithms in countries with relatively lower CPI scores.Originality/valueIn literature, the factors related to market efficiency are still far from explaining the causation behind the inefficiencies. Thus, it has been investigated whether transparent and well-functioning public institutions and organizations have any relation with market efficiency.
弱形式市场效率与腐败:跨国比较分析
目的各国的经济和行政条件通常对经济和市场发展水平产生影响。此外,公共机构和组织是否透明并按照其宗旨运作,对健康的经济至关重要。本研究的目的是显示透明度和市场效率之间是否存在关系。设计/方法/方法通过七种不同的机器学习算法获得的预测准确率与腐败感知指数(CPI)水平之间进行了相关分析。统计结果表明,腐败程度低的国家的指数更难预测,这反过来又可以解释为具有更高的弱形式市场效率。据此,CPI得分与股票指数的可预测性水平之间存在中间负相关关系。考虑到研究结果,可以解释为公共部门相对更透明和运作良好的国家的市场具有更多的弱形式市场效率。研究的局限性/意义本研究可以在未来的研究中使用尖端的机器学习和深度学习技术进行扩展。很少有研究试图解释与市场效率相关的因素。因此,作者声称,为了确定与市场效率相关的因素,仍有进一步研究的空间,这意味着目前的文献仍然远远不能解释低效率背后的原因。研究结果表明,公共部门相对透明和运作良好的国家的市场具有更多的弱形式市场效率。基于这些发现,在实践中,可以说在CPI得分相对较低的国家,使用机器学习算法可以做出更成功的预测。在文献中,与市场效率相关的因素仍然远远不能解释低效率背后的原因。因此,研究人员调查了透明和运作良好的公共机构和组织是否与市场效率有任何关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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