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The purpose of this paper is to examine the impact of dividend announcements on the stock return of Shariah-compliant and conventional stocks.

An event study methodology is applied to study the beta anomaly. Market-adjusted return model, mean-adjusted return model and market model have been applied to calculate excess returns. Estimation period used in this study is 130 days, and event period consists of 21 days in total, i.e. starting from the day –10 “before the cash dividend announcement” to day +10 “after the cash dividend announcements.

It has been concluded from the results that dividend plays an informational role in the Pakistan Stock Exchange. As the investors in Pakistan react favorably to the dividend increase announcements and unfavorably to the dividend decrease announcements, they consider dividend increase announcement as good news and dividend decrease announcement as bad news.

The findings of this study have several implications for different participants of the stock market, such as investors, academicians, researchers, fund managers and policymakers. They can use this information to make decisions while making efficient portfolios. Investors may get abnormal returns by focusing on the dividend announcement patterns. This can influence the attitude of investors toward efficient investments in the stock market and ultimately contribute to the betterment of society. This study is also beneficial for academicians and researchers, as it provides a comparative analysis of Shariah-compliant and conventional stocks and the anomalous effect of dividend announcements on stock return.

Limited research in the world’s context and null is available in Pakistani context on the subject matter. The comparative analysis of “Shariah-compliant” and “conventional” stocks provides insight into the asset pricing of Shariah-compliant stocks that have not been explored earlier. This study also uses three different methods (mean model, market model and market-adjusted return models) to compare Shariah-compliant and conventional stocks

In this paper the authors examine evidence on exchange rate predictability through commodity prices for a set of countries categorized as commodity import- and export-dependent developed and emerging countries.

The authors perform in-sample and out-of-sample forecasting analysis. The commodity prices are modeled to predict the exchange rate and to analyze whether this commodity price model can perform better than the random walk model (RWM) or not. These two models are compared and evaluated in terms of exchange rate forecasting abilities based on mean squared forecast error and Theil inequality coefficient.

The authors find that primary commodity prices better predict exchange rates in almost two-thirds of export-dependent developed countries. In contrast, the RWM shows superior performance in the majority of export-dependent emerging, import-dependent emerging and developed countries.

Previous studies examined the exchange rate of commodity export-dependent developed countries mainly. This study examines both developed and emerging countries and finds for which one the changes in prices of export commodities (in case of commodity export-dependent country) or prices of major importing commodities (in case of import-dependent countries) can significantly predict the exchange rate.

The purpose of this paper is to explain the multi-stage dynamic process of financial distress. An attempt is made to explore multiple adverse heterogeneous events of financial distress leading a firm closer to bankruptcy progressively.

Sample comprises 321 ongoing, 54 suspended and 91 delisted non-financial firms from Pakistan Stock Exchange. Financial distress is segregated into three stages, i.e. profit reduction, mild liquidity (ML) and severe liquidity (SL). Flow diagrams are used to explain the transition of healthy firms through proposed stages of financial distress.

Results showed that firms liquidated/winding-up by court documented SL problems and closed their operations well before the delisting year. It is found that healthy firms are more likely to face SL when faced ML problem at first stage. Distressed firms can recover to a healthy position at any stage, however after approaching to SL, recovery is less expected.

The proposed process will provide a foundation for future studies to develop more relevant, robust and accurate early warning system of corporate failure that will help stakeholders to respond potential crisis accordingly and timely.

Previously, most of the studies used the ex post definition of bankruptcy that is criticized due to the contextual application, sample bias and non-segregation by the degree of liquidity problems. The originality of the proposed ex ante model is its segregation into a three-stage process that can be generalized regardless of specific bankruptcy law.

The purpose of the study is to examine overreaction effect in the Chinese stock market after the global financial crisis (GFC) of 2007 for all the stocks listed in Shanghai Stock Exchange (SSE) Composite 50 index.

To capture overreaction effect in the stock listed at SSE 50 Index, a time series analysis of average cumulative abnormal return within a unified framework is applied for the period of January 2009 to December 2015. From these loser and winner portfolios, contrarian strategy is applied to build arbitrage portfolio, which is the difference of mean reversions between loser and winner portfolios. The portfolio construction is based on a 12-month formation period and 6-month testing period for intermediate-term analysis and. for short-term analysis, 6 month formation and 3 month testing periods. The authors also applied regression analysis to test a return reversal effect for the sampled period.

Results show that contrarian strategy yields positive excess returns for the arbitrage portfolio for most of the testing periods. The intermediate baseline case shows the arbitrage portfolio producing an average excess return of 14.1%, while even the short-term one produces 4%, which is statistically significant at the 5% level. The study finds asymmetrical overreactions in the SSE especially for loser portfolios. The biggest winner and loser portfolios follow the mean reversal effect. Moreover, before-after test for the biggest winner and loser portfolios shows that the losers recovered and beat the market immediately.

The study could benefit government, policy makers and regulators by studying how presence of more individual investors than institutional investors of China stock market leads to more irrational decisions giving rise to volatility. The regulators could build favourable policies for institutional investors to give them incentive to invest more than individual investors through which market volatility could be controlled.

This research contributes to market behaviour research, showing how working under hypotheses of overreaction; gains can be made with contrarian investment strategy through arbitrage portfolios. The authors provide specific additional support for the short and medium-term overreaction in the SSE for the period 2009–2015 using regression analysis.

This research contributes to market behaviour research, showing how working under hypotheses of overreaction; gains can be made with contrarian investment strategy through arbitrage portfolios. We provide specific additional support for the short and medium-term overreaction in the SSE for the period 2009–2015 using regression analysis.

The existing literature about return reversal effect in Chinese stock markets is inconclusive and controversial. Therefore, the purpose of this paper is to investigate the presence of return reversal effect in the Shanghai A stock market.

The authors used the late-stage contrarian strategy of Malin and Bornholt (2013) for the period March 2011‒March 2016.

The results show that there is a long-term return reversal effect in the Shanghai A stock market for the period March 2011‒March 2016. When portfolios are in the formation period (P=24 months), the excess returns are significant in the holding period, Q=6, 9, 12, 24 months. Further, there is also a significant short-term momentum effect in the Shanghai A stock market. For the robustness check, a new reversal factor was introduced into the Fama‒French three-factor model. Results show that portfolios have a smaller size and have lower book-to-market ratios; the return reversal factor explains a portion of the abnormal returns and coefficient of the reversal effect is significant.

The authors caution readers from generalizing the findings of this study, as the sample is small and the focus is only on A stocks listed on the Shanghai Stock Exchange.

The present research expands the current literature by providing a comprehensive information about the presence of the long-term and short-term return reversal effects in Shanghai A stock market. Furthermore, the Chinese stock markets have distinctive features in comparison to the developed stock markets in terms of government control, institutional structure, liquidity, cultural background, etc. Such differences affect the pattern in stock returns compared with those observed in developed stock markets. Contrary to previous studies, the present study also accounts for robustness checks. Finally, it also evaluates the possible reasons for the return reversal effect in the Shanghai market.

This paper aims to study the main trends of scientific research in Islamic finance’s social aspects to clarify place, role and functions, especially in the context of increasing social problems. To achieve this goal, this paper focuses on the social component of Islamic finance, analyzes publications on social Islamic finance in the Web of Science database, covering the period from 1979 to 2020, specify the geographical localization of research networks, determines the most cited authors and their scientific position.

The authors have applied several literature review techniques, a bibliometric citation and co-citation analysis, a co-authorship analysis and a review of the most cited papers. The analyzes’ results allow us to offer five future questions in Islamic social finance, zakat and waqf, which have not been investigated before and could influence Islamic social finance and Islamic finance research.

The authors also derive and summarize five leading future research questions.

This is a limitation of using only the Web of Science Core Collection database as the premier resource and the most trusted citation index for the world’s scientific and scholarly research. Further study might expand the types of analyzed units, include more keywords and include other databases, such as Scopus.

This paper can be considered as an inspirational one to future researchers and policymakers in Islamic social finance.