ناهنجاری بازار سهام، بازده بازار و فرضیه بازار سازگار: شواهد از شاخص سهام اسلامی

Despite the development and growth of Islamic finance, the academic literature on the subject, while increasing, has so far provided no information on the calendar anomalies in Islamic stock indices. Therefore, using stochastic dominance (SD) and mean–variance (MV) analyses, this paper examines the Adaptive Market Hypothesis (AMH) through three well-known calendar anomalies in eight Dow Jones Islamic Indices (DJII) from 1996 to 2015 and over five subsamples. The results of SD and MV show that varying of calendar anomalies over time support the AMH in Islamic stock indices. The most vital finding is that the Islamic indices achieved greater efficiency over time, particularly during the recent financial crisis, when their prevalence greatly increased. Thus, the results suggest that the AMH offers a better explanation of the behavior of calendar anomalies than the Efficient Market Hypothesis.