Calendar anomalies in the stock markets: conventional vs Islamic stock indices

PurposeIn this study, the authors evaluate seven calendar anomalies’–the day of the week, weekend, the month of the year, January, the turn of the month (TOM), Ramadan and Eid festivals–effects in both the conventional and Islamic stock indices of Bangladesh. Also, the authors examine whether these anomalies differ between the two indices.Design/methodology/approachThe authors select the Dhaka Stock Exchange (DSE) Broad Index (DSEX) and the DSEX Shariah Index (DSES) of the DSE as representatives of the conventional and Islamic stock indices respectively. To carry out the investigation, the authors employ the generalized autoregressive conditional heteroskedasticity (GARCH) typed models from January 25, 2011, to March 25, 2020.FindingsThe study’s results indicate the presence of all these calendar anomalies in either conventional or Islamic indices or both, except for the Ramadan effect. Some significant differences in the anomalies between the two indices (excluding the Ramadan effect) are detected in both return and volatility, with the differences being somewhat more pronounced in volatility. The existence of these calendar anomalies argues against the efficient market hypothesis of the stock markets of Bangladesh.Practical implicationsThe study’s results can benefit investors and portfolio managers to comprehend different market anomalies and make investment strategies to beat the market for abnormal gains. Foreign investors can also be benefited from cross-border diversifications with DSE.Originality/valueTo the authors’ knowledge, first the calendar anomalies in the context of both conventional and Islamic stock indices for comparison purposes are evaluated, which is the novel contribution of this study. Unlike previous studies, the authors have explored seven calendar anomalies in the Bangladesh stock market's context with different indices and data sets. Importantly, no study in Bangladesh has analyzed calendar anomalies as comprehensively as the authors’.

The calendar anomalies on Warsaw Stock Exchange in 2015-2020

The article is devoted to the subject of popular calendar anomalies. According to the theory of finance, if investors act rationally, the market can be considered efficient. In such a situation, achieving an above-average rate of return is impossible, as securities reflect all available information about them. However, on the basis of many studies and assumptions of behavioral economics, numerous exceptions to this rule have been discovered, which have been called market anomalies or stock anomalies. Such a deviation is the "January effect" and "January barometer" described in this work. The aim of the article is to investigate whether there is a deviation on the Warsaw Stock Exchange in 2015-2020 called the "January effect" and also whether the return rate in January can be a good prognosis for the rest of the year. In the results of the analysis, the occurrence of the title calendar effects in the studied sample was not unequivocally stated.

An extended list of calendar anomalies in the context of the efficient market hypothesis

The efficient market hypothesis is commonly tested mainly with regard to capital markets, but it has also been applied to currency and commodity markets. Although the theory has been used to confirm that different markets vary in their effectiveness, certain cyclical anomalies can be observed in these markets. Particularly noteworthy are calendar anomalies, which can be used to develop investment methods and procedures. In addition to commonly known anomalies, such as the January or the December Effect, or short-term ones, like the Friday or Monday Effect, there are many others that are largely unknown in Poland, such as those related to the Presidential Election Cycle in the USA or very short-lived ones, associated with individual hours of investing in a trading session. The aim of the article is to present a possibly complete list of calendar anomalies recognized in foreign capital markets, but largely unknown in Poland, such as short-lived anomalies and exotic ones (e.g. related to phases of the moon).

January anomalies on CEE stock markets

Numerous studies show that stock markets are often impacted by various calendar anomalies that disrupt the “random walk” behavior of stock prices. These anomalies contradict the Efficient markets theory and can be exploited to generate abnormal returns. This paper investigates the presence of two of them, namely the January effect and the January barometer, on the stock markets of 12 Central and Eastern European (CEE) countries. The paper examines the statistical significance of differences in returns recorded over the month of January and returns recorded over the other months (the January effect), as well as the statistical significance of differences between returns recorded during the remainder of year after a positive January return and after a negative January return (the January barometer). The results show, among other things, that the statistically significant January effect affects the Estonian, Lithuanian, Czech, Romanian, and Latvian stock markets. On the Romanian and Lithuanian stock markets, statistically significantly higher January returns are accompanied by statistically significantly higher January price volatility. On the other hand, we can speak of a statistically significant January barometer only in the case of the Latvian, Lithuanian, and Ukrainian stock markets. The presence of these anomalies is contrary to the Efficient market theory. It can be assumed that proper investment strategies based on these calendar anomalies should be able to generate abnormal returns. AcknowledgmentThis paper is an outcome of the science projects VEGA (1/0613/18) and VEGA (1/0221/21).

Do Islamic Holy days affect stock returns? Empirical evidence from Asian and African markets

Purpose The Islamic Holy days are among the most celebrated spiritual traditions in the world and are observed by more than 1.5 billion Muslims. This study aims to investigate the effect of these events on the regular returns of stock exchanges in selected Muslim countries. Design/methodology/approach This study examines data from eight Asian and African stock exchanges from 2001 to 2019. Isolating the effect of Gregorian calendar anomalies, it aims to evaluate the effect of Islamic Holy days on stock returns by running a pooled random effect panel regression on all the stock exchanges examined. Findings The results reveal the positive impact of Eid-ul-Fitr on Asian markets, the negative impact of Eid Milad-un-Nabi on the African stock market’s returns and the positive effect of the Holy month of Ramadan on both markets. Some Gregorian calendar anomalies also were found in these markets. Practical implications The research has significant implications for marketing professionals to recognize business opportunities and investors to efficiently manage their stock portfolio during Islamic events of Eid-ul-Fitr, Eid Milad-un-Nabi and Ramadan in relevant Muslim countries. Originality/value Given the research gap between Gregorian and Islamic calendar anomalies, this paper contributes by combining the effect of Islamic Holy days on the returns of selected Muslim-dominated financial markets.

ANALISIS CALENDAR ANOMALIES DI PASAR SAHAM INDONESIA TAHUN 1998 – 2018

ABSTRACT The Efficient Market Hypothesis Theory of Fama states that stock prices cannot be predicted by its movement tendency (random walk). In some stock markets, the movement of stock prices has a seasonal effect, which is the repetition of stock movements at a certain time that can be called a calendar anomalies. The repetition or seasonal effect on rate of return shows that the stock price can be predicted, thus it can be exploited by investors to get the probability of a higher rate of return. This research aims to see whether calendar anomalies prevail in the Indonesian stock market by using the daily and monthly rate of return of LQ45 and the Jakarta Composite Index (JCI) with an observation period of 21 years from 1998 to 2018 and estimated using the GARCH-M model (1,1). The results of this research are the existence of daily anomalies on Monday as the day with the lowest rate of return and Wednesday as the day with the highest rate of return. In addition, we also get the results of monthly anomalies in August as the month with the lowest rate of return and December as the month with the highest rate of return.

An examination of calendar anomalies: evidence from the Thai stock market

PurposeThe study examines the existence of calendar anomalies, including the day-of-the-week (DOW) effect and the January effect, in the Stock Exchange of Thailand.Design/methodology/approachUsing daily stock returns from March 2014 to March 2019, the study performs regression analysis to examine predictable patterns in stock returns, the DOW effect and the January effect, respectively.FindingsThere is strong evidence of a persistent monthly pattern and weekday seasonality in the Thai stock market. Specifically, Monday returns are negative and significantly lower than the returns on other trading days of the week, and January returns are positive and significantly higher than the returns on other months of the year.Practical implicationsThe findings offer managerial implications for investors seeking trading strategies to maximize the possibility of reaching investment goals and inform policymakers regarding the current state of the Thai stock market.Originality/valueFirst, the study investigates calendar anomalies in the Thai stock market, specifically the DOW effect and the January effect, which have received relatively little attention in the literature. Second, this is the first study to examine calendar anomalies in the Thai stock market across different groups of companies and stock trading characteristics using a range of composite indexes. Furthermore, the study uses data during the period 2014–2019, which should provide up-to-date information on the patterns of stock returns in Thailand.