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This paper aims to examine whether Sharia mutual fund managers are able to gain abnormal returns from what is called the Ramadhan effect.

The authors use GARCH regression on daily data of domestic Sharia mutual fund performance in Indonesia and Malaysia over the period of 2007-2017.

The authors find that the Ramadhan effect is not a strong predictor of Sharia fund excess return in Indonesia and Malaysia, and they identify a positive Ramadhan abnormal return on the Malaysia Sharia Equity Fund. This result shows there is size effect on sharia fund excess return in Indonesia and value effect on Sharia Balanced Fund in both markets. It is suggested that the effect of market excess return in Indonesia is stronger than in Malaysia.

The samples are limited to Sharia Funds over the period 2007-2017.

The authors suggest that size and value effect could be considered to develop the selection and timing strategies to explore the Ramadhan effect.

This study focuses on Indonesia and Malaysia, the two largest Islamic Stock Markets in Southeast Asia and examines specific on Sharia Mutual Fund (equity and balanced fund). It also compares differences in total performance measures between the Ramadhan period and non-Ramadhan period.

This study aims to empirically compare the performance of Islamic indices vis-à-vis to their conventional counterparts in India.

The performance of the Islamic and selected conventional indices is evaluated using various risk-adjusted performance measures such as Sharpe ratio, Treynor ratio, M-square (M²) ratio, information ratio, capital asset pricing model (CAPM), Fama-French three-factor model and Carhart four-factor model in India context. The period of study is from December 2006 to 2018.

The risk-adjusted performance measures based on the Sharpe ratio, Treynor ratio, information ratio, the M² ratio show that the return of Islamic indices provides slightly superior performance. However, performance investigated using CAPM, Fama-French and Carhart benchmarks produce a statistically insignificant differences in return of the Islamic and conventional benchmarks.

The Sharīʿah-compliant indices can provide a viable, ethical and alternative investment avenue for faith-based investors as it will not make them worse off in comparison to the conventional benchmarks. This also offers opportunity to conventional investors for portfolio diversification. The promotion of faith-based investment can serve as a tool for financial inclusion to attract a huge segment of Indian population in the formal financial system. The findings of the study suffer from the limitation of small sample size and empirical methods used.

This study contributes to the literature on the comparative performance of Islamic and conventional indices in general and emerging markets, in particular, using most recent data and covering a relatively long span of time. To the best of the knowledge, this is the first comprehensive study examining the performance of Islamic indices, using multiple Islamic indices and various risk-adjusted measures in the Indian context.

The abnormality of the month-of-the-year and Ramadan effects has extensively existed in the stock and other markets. The commercial strategy pattern and the computation of such predictable patterns in the market allow investors to make money. By using anomalies such as the month-of-the-year and the Ramadan effects on earnings management (EM), it is possible to achieve such a goal. This study aims to investigate the month-of-the-year effect and the Ramadan effect on the relationship between accrual earnings management and real earnings management (AEM and REM, respectively) and liquidity in the Iranian capital market.

This empirical analysis comprises a panel data set of 80 listed firms (400 observations) on the Tehran Stock Exchange from 2016 to 2020.

The findings exhibit that when AEM and REM increase, information asymmetry also increases. The simultaneous increase of these variables leads to a decrease in stock liquidity. Furthermore, the results indicate that the month-of-the-year and Ramadan effects intensify the negative relationship between AEM and REM with stock liquidity. Therefore, EM is affected by the investor’s behavior in specific months.

Anomalies caused by the Ramadan effect and the month-of-the-year effect on reducing liquidity in the Iranian stock market were confirmed. Investors can use these anomalies to identify predictable patterns, exchange securities according to those patterns and earn abnormal returns.

To the best of the authors’ knowledge, this is the first study that empirically examined the simultaneous effect of Gregorian and Islamic calendar anomalies on the relationship between EM and liquidity, and while helping managers and other readers, it can be the basis for future research.

In 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.

The 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.

The 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.

The 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.

To 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’.

This study aims to investigate the Hijri calendar effect in Borsa Istanbul (BIST) precious metal market and foreign exchange market (Dollar and Euro market) of Turkey.

The data of BIST gold market index and foreign exchange market are used for the period of 4 March 2003-30 September 2016 (1 Muharram 1424 – 28 Dhu al-Hijja 1437) in the study. These data are analyzed by using the dummy variable regression model and Kruskal–Wallis (KW) test.

The results of the regression models and KW test indicate that there is a Ramadan effect in the gold market and after-Ramadan effect in the Euro market. On the other hand, the Hijri month effect does not exist in the Dollar market.

This is the first paper that investigates the Hijri calendar effect in gold and foreign exchange markets of Turkey other than the stock market.

This paper aims to document the impact of Ramadan on the optimism of analysts’ recommendations taking as a sample the countries of the MENA region during the period between 2004 and 2015. The choice of these countries can be explained by the fact that their population is predominantly of a Muslim faith (The Future of World Religions: Population Growth Projections, 2010-2050, 2015).

The authors used univariate and multivariate regression models to highlight the existence of the Ramadan effect on the optimism of analysts. They have found that pre-holiday optimism is significantly lower than post-holiday optimism.

This paper also documented the effect of analysts’ experience and information uncertainty on the analysts’ optimism level that allowed us to infer that low experience enhances optimism, while environment with low information uncertainty tends to decrease the level of optimism.

Previous research on this topic has investigated the effect of months of the year, turns of the month and days-of-the-week on the behavior of stock exchanges. Another strand of the literature also analyzed the effect of holidays on the latter. However, this is the first attempt to investigate this effect on analysts’ recommendations optimism when the holiday period is related to Islam.

This study aims to investigate the dependence structure and volatility spillovers among two strategic commodities (crude oil and gold) and a set of Islamic and conventional regional stock market indices, while examining the Ramadan effect

The empirical strategy consists of two complementary measures of dependence and connectedness. This study first uses copulas to examine the dependency between the markets considered, then spillovers compute the magnitude of the connectedness among them.

The copulas analysis shows that Frank’s copula appears to better capture the relationship between most asset returns and highlights the almost absence of extreme dependence and, therefore, the existence of diversification opportunities. Moreover, the connectedness analysis suggests that gold is a net volatility receiver and provides, thereby, greater diversification benefits compared to crude oil. In addition, the high levels of time-varying connectedness support strong integration among the financial markets studied, specifically during the COVID-19 crisis period. Furthermore, the connectedness among the markets studied increases during the Ramdan subperiods, supporting shift contagion among financial markets considered during this religious holiday.

The results provide investors with a better understanding of the nature as well as the magnitude of the interdependences between commodity markets and a set of Islamic and conventional regional stock markets. Indeed, it is of paramount importance for investors to clearly understand how Islamic and conventional markets are segmented or integrated during stress and stress-free periods, as well as the effect of the month of Ramadan on the interdependence among markets, to better assess risks, diversify portfolios and implement more effective hedging strategies.

While a considerable body of literature examines financial contagion and volatility transmission between financial markets, there is still much to be said regarding connectedness among commodity and stock markets, particularly when it comes to studying the effects of religious holidays on the interaction between conventional and Islamic assets. This paper fills in this gap by focusing on the dependence structure as well as the connectedness between Islamic stock indices, conventional stock indices, gold and crude oil for six different regions, while examining the Ramadan effect.

Studies on Islamic calendar anomalies in financial markets tend to apply quantitative analysis to historic share prices. Surprisingly, there is a lack of research investigating whether the participants of such markets are aware of these anomalies and whether these anomalies affect their investment practice. Or is it a case that these practitioners are completely unaware of the anomalies present in these markets and are missing out on profitable opportunities? The purpose of this paper is to analyse the views of influential participants within the Pakistani Stock Market.

The study documents the findings for 19 face-to-face semi-structured interviews conducted with brokers, regulators and high-net-worth individual investors in Karachi.

The paper’s major findings indicate that the participants believed that anomalies were present in the stock market and market participants were actively attempting to exploit these anomalies for abnormal gains. Interviewees suggested that predictable patterns can be identified in certain Islamic months (Muharram, Safar, Ramadan and Zil Hajj). The most common pattern highlighted by the interviews related to the month of Ramadan. Furthermore, interviewees mentioned the influence of the “Memon” community in the Pakistani Stock Market. Respondents also suggested that investor sentiment played an important role in influencing the stock market prices and trading patterns.

Because all the prior studies investigating Islamic calendar anomalies in Muslim-majority countries adopted quantitative method using secondary data, the current investigation is of particular value, as it focuses on the qualitative analyses and reports the views of market participants. This allows to fully explore the topic under investigation and to draw robust conclusions.

There is a paucity of knowledge on how visual sensory cues impact consumers’ purchase behaviour and their satisfaction, especially in Ramadhan street food bazaar context. This study aims to investigate the effect of Muslim consumer’s visual sensory cues on Ramadhan street food purchase behaviour and satisfaction.

This study surveyed 367 Malaysian Muslim consumers to depict their purchase behaviour and satisfaction based on visual sensory cues during their visit to the Ramadhan street food bazaar.

The findings show that visual sensory evaluations of texture and appearance influence Ramadhan street food bazaar customers’ purchase behaviour. Meanwhile, visual cues of texture and taste of the street bazaar food significantly influenced satisfaction.

The result offers practice guidelines for small food operators to enhance their product placement and display to encourage consumer purchase behaviour. The findings highlight the importance of visual cues in foodservice businesses and how they affect consumers’ desire to consume Ramadhan street bazaar’s food products.

Paying attention to food presentation would allow the sellers to obtain customers’ attention and purchase intention. Subsequently, it allows the Ramadhan street bazaar food sellers to be more competitive and effective in their business operation techniques and services, eventually impacting their survivability and sustainability.

In the context of a developing country, Indian buildings need further research to channelize energy needs optimally to reduce energy wastage, thereby reducing carbon emissions. Also, reduction in smart devices’ costs with sequential advancements in Information and Communication Technology have resulted in an environment where model predictive control (MPC) strategies can be easily implemented. This study aims to propose certain preemptive measures to minimize the energy costs, while ensuring the thermal comfort for occupants, resulting in better greener solutions for building structures.

A simulation-based multi-input multi-output MPC strategy has been proposed. A dual objective function involving optimized energy consumption with acceptable thermal comfort has been achieved through simultaneous control of indoor temperature, humidity and illumination using various control variables. A regression-based lighting model and seasonal auto-regressive moving average with exogenous inputs (SARMAX) based temperature and humidity models have been chosen as predictor models along with four different control levels incorporated.

The mathematical approach in this study maintains an optimum tradeoff between energy cost savings and satisfactory occupants’ comfort levels. The proposed control mechanism establishes the relationships of output variables with respect to control and disturbance variables. The SARMAX and regression-based predictor models are found to be the best fit models in terms of accuracy, stability and superior performance. By adopting the proposed methodology, significant energy savings can be accomplished during certain hours of the day.

This study has been done on a specific corporate entity and future analysis can be done on other corporate or residential buildings and in other geographical settings within India. Inclusion of sensitivity analysis and non-linear predictor models is another area of future scope.

This study presents a dynamic MPC strategy, using five disturbance variables which further improves the overall performance and accuracy. In contrast to previous studies on MPC, SARMAX model has been used in this study, which is a novel contribution to the theoretical literature. Four levels of control zones: pre-cooling, strict, mild and loose zones have been used in the calculations to keep the Predictive Mean Vote index within acceptable threshold limits.