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This study aims to investigate the effect of seasonality caused by fasting as a religious practice on trading activity.

The authors use an unbiased sample of daily trading by individuals and institutions on the Boursa Kuwait. The authors use panel data on trading activities and Tobit regression models to examine the effect of Muslims’ religious practice of fasting during the holy month of Ramadan on trading behavior.

The authors find that during the holy month of Ramadan, Muslims’ religious practice of fasting leads to a decline in the frequency of both overall stock market trading and the ratio of individual trading volume to total trading volume. The authors find a significant decrease in individual buy-side trading as a proportion of total trading volume and simultaneously a significant increase in institutional buy-side trading.

This study’s findings have important implications for the main players in stock markets of countries with a Muslim majority. Market-makers should be aware of the significant increase in the proportion of institutional buy-side trading volume to total trading volume to minimize the cost of trading with better-informed traders (adverse selection).

To the best of the authors’ knowledge, this is the first study that investigates individuals’ trading activity during Ramadan.

The purpose of this paper is to assess the latest directives of the European Parliament and the Council – MiFID II and MiFIR – on markets in financial instruments in response to the growth of dark pools in European equity markets.

This paper examines the impact of the new regulatory packages on European equity markets by identifying areas where the legislation is effective and comparing these changes in EU legislation with US legislation on dark pools.

This paper find that the MiFID II and MiFIR directives, implemented by the European Securities and Markets Authority to address these concerns, have reduced information asymmetry between market participants, thereby increasing competition between regulated markets and alternative trading facilities.

Increased competition can improve market quality, which has practical implications for financial market regulation and policy formulation.

These findings are novel in the existing literature on high frequency trading through dark pools. They improve the understanding of dark trading and its impact on competition and market efficiency. In addition, this research can assist policymakers in designing effective financial market regulation. The economic analysis of legislation also helps regulators assess the impact of new legal provisions on the functioning of capital markets.

Trade centers are operationally run by a property manager as a delegate of the property owner. The dimensions of service quality (SERVQUAL), which include tangibles, assurance, empathy, reliability and responsiveness, are vital to be implemented as the duties of property managers when providing service to tenants to maintain tenant satisfaction and property reputation. This study aims to understand the effects of the SERVQUAL dimensions, the role of property management and the quality of rental value on tenant satisfaction and property reputation.

The sample was gathered using the purposive sampling technique with the criteria of being a tenant and kiosk owner in trade center properties in Surabaya. Data were gathered using questionnaires, from which 100 respondents were acquired. It was then analyzed using the partial least square structural equation model (SEM) in the SmartPLS 3.0 program to test the hypothesis.

The results of this study prove that the SERVQUAL dimensions – assurance, empathy and responsiveness – significantly influence tenant satisfaction with the mediating variable of the role of property management. Moreover, the SERVQUAL dimensions – empathy, reliability and responsiveness – significantly influence property reputation with the mediating variable of the role of property management.

Property managers are expected to proactively map out different service measures related to the dimension of satisfaction by conducting service training programs for their employees. In fact, in the post-pandemic period, property managers require new marketing strategies, such as leaseback, to effectively carry out renovations of the trade center’s public facilities and restructure the tenant mix.

Trade centers as trading areas experience management limitations because of the prohibition of mass gatherings during the COVID-19 pandemic, resulting in a limited number of onsite trading. Tenants who have entered into a long-term contract experience loss and rely on the aid of property management to survive. The role and quality of service of property management influence tenants’ satisfaction post-COVID-19 pandemic.

As families engage in entrepreneurship, particularly in developing economies, women's engagement in such activities is subject to the traditional cultures, norms and values of the communities to which they belong. This paper aims to investigate how the socio-cultural context influences women's entrepreneurship as women engage in “family entrepreneuring”.

The study draws on an inductive qualitative approach to explore how multiple cultural, social and economic contexts encourage women's entrepreneurship and, thus, position them at the centre of family entrepreneuring within this community. Using snowballing techniques, we analyse narratives from 51 women entrepreneurs, generated through semi-structured interviews, to reveal key insights into the practice of family entrepreneuring.

The findings reveal the complex socio-cultural context within the “Adja” community, where polygamy, a traditional and cultural practice, enables the transfer of culturally and socially embedded informal knowledge. The study explains how women's entrepreneuring activities are supported by informal in-family apprenticeships, resulting in family members learning specific skills while also experiencing the feeling of belonging to the family. Showcasing the heterogeneity of contexts, particularly those found in Africa, this study challenges the normative view within the Global North and the dominance of the “heroic male” in entrepreneurship by showcasing how women (especially matriarchs) are significant actors in training other women, co-wives, daughters and relatives in family entrepreneuring.

Thus, this study contributes to the extant literature on family entrepreneuring by revealing an unusual case of women from polygamous families becoming the focal actors in family entrepreneuring activity and challenging the culturally ascribed gender roles to evolve into the breadwinners in their households, as well as focusing on how this process is driven by endogenous knowledge exchange.

This paper aims to offer the first known synthesis of peer-reviewed literature on trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining prominence across scholarship and practice, this foundation is pertinent for future TBML research.

A systematic literature review was undertaken with a formulaic search string. Both qualitative (thematic) and quantitative (meta) analysis methods were used to illustrate the findings.

The systematic literature review, using qualitative and quantitative synthesis, led to a thematic categorization of extant TBML literature into four categories: TBML risk assessment, TBML detection, the role of professionals and understanding of TBML. Due to the limited number of studies, insights that can be drawn from the extant literature on the best way to combat TBML are also limited.

As the first systematic literature review on TBML, this study identified that the existing TBML literature has focused on increasing the understanding of the phenomenon in terms of its definition and mechanisms, detection, linkage with other crimes, such as organized crime and terrorism financing, and risk assessment frameworks. The originality of these findings lies in identifying areas future researchers might explore to broaden the academic literature.

The study investigates the role of macroeconomic policies in driving capital market development in emerging African countries where the markets are relatively active. It aims to determine the effects of these policies in pre-pandemic period vis-a-vis the post-pandemic period.

The generalized method of moments (GMM) and auto-regressive distributed lag (ARDL) are employed in estimating the role within the period 2012Q1-2023Q3. The panel unit root test is used to ascertain the stationary status of variables, while maximum likelihood estimator is employed to determine structural stability of the model.

The empirical results reveal that fiscal and monetary policies played significant positive role in capital market development in both pre- and post-pandemic periods. On the other hand, trade policy and investment return had significant impact in pre-pandemic period which could not be sustained in post-pandemic period. It is only exchange rate policy that remained insignificant in both periods. The findings therefore suggest that capital market development slowed in the post-pandemic period due to reduced performance of macroeconomic policies. Furthermore, the unit root test reveals that all the variables satisfy empirical properties that ensure estimation results are consistent and non-spurious. The maximum likelihood estimator showed there was long-term structural break, hence short-term impacts were used in comparative analysis.

Macroeconomic policies are fundamental to financial market development in developing countries. The role in resuscitating capital market in the post-pandemic period has yet to be adequately investigated in African countries. This study is carried out to fill this void.

This study aims to delve into the mechanisms through which financial statements readability (FSR) may impact the probability of stock price crashes. It specifically examines how information asymmetry and stock liquidity mediate this relationship.

The study uses data from 107 nonfinancial firms listed on the Egyptian Stock Exchange between 2016 and 2019 to investigate the mediating roles of information asymmetry and stock liquidity using structural equation modeling (SEM). To enhance robustness, the author incorporates the Bootstrap method, conducting 5,000 iterations for consistent validation of results.

The findings of this study identify two crucial mediators in the correlation between the readability of financial statements and stock price crash risk. First, information asymmetry partially mediates this association. Complex financial statements allow managers to hide adverse news, thereby increasing information asymmetry. Consequently, investors face challenges in assessing the company’s risk and performance, elevating the probability of stock price crashes when such concealed information is disclosed. Second, the results indicate that stock liquidity plays a key mediating role. Less-readable financial statements hinder stock liquidity, making it more difficult for investors to trade shares efficiently. This reduced liquidity amplifies the influence of negative news, potentially increasing the crash risk. Importantly, our findings demonstrate robustness across various measures, encompassing two readability indicators and two crash risk proxies, validated through both SEM and Bootstrap methods.

Although this research provides valuable insights, it is critical to acknowledge its limitations. The relatively limited sample size may affect the broader applicability of the findings. Moreover, this study was carried out in the Egyptian setting, where financial reporting is conducted in Arabic. This linguistic and cultural specificity could influence the interpretation and generalizability of the findings beyond the Egyptian and Arab contexts. To overcome this limitation, this paper recommends conducting comparative research in diverse linguistic and cultural environments.

The outcomes of this research carry substantial implications for policymakers and regulators, emphasizing the need for ongoing efforts to enhance financial reporting standards. Clear and readable financial reports contribute not only to market transparency but also to the overall stability and resilience of financial markets. Policymakers are encouraged to consider our findings when shaping or revising standards to ensure readability and transparency, potentially reducing the risk of market disruptions. Furthermore, companies should recognize the adverse impact of complex financial reports, prioritizing transparent and readable reporting to foster investor trust and mitigate crash risks.

This research comprehensively analyzes the intricate relationships among FSR, information asymmetry, stock liquidity and stock price crash risk. Focusing on the mediating roles of information asymmetry and stock liquidity, this paper provides novel insights, advancing theoretical understanding and practical implications for risk management and financial reporting. This study expands the current body of knowledge on how FSR is related to the probability of stock price crashes.

This study aims to examine the relationship between investor gambling preferences and stock returns, using data for all firms listed in Shanghai A-share market during 2016 and 2021.

This study employs price and trading volume data to capture the behavioral characteristics and gambling preferences of investors. Using the Fama-French three-factor and five-factor models to estimate benchmark returns, this study investigates whether investing in gambling stocks can yield positive excess returns.

The study reveals that stocks identified as gambling stocks generate high returns in the month they are identified as such but subsequently experience a significant drop in excess returns compared to non-gambling stocks over the following one to six months. These results are found to be consistent across different methods used to classify gambling stocks and across various industry sectors.

This research provides insights into the risk-return tradeoff of different stock types and the factors that fuel irrational investment behavior. This research underscores the importance of considering the behavioral elements of investment, particularly in emerging markets where individual investors have a significant impact.

This study advises investors to avoid adopting a gambler or speculative mindset and instead make well-informed and calculated investment decisions that are in line with investors financial objectives and risk appetite. This approach can help create a more stable and sustainable financial market.

This study provides new evidence on the relationship between gambling preferences and future stock returns in financial markets and sheds new light on the important role of irrational factors in investment decisions.

This study aims to investigate the effect of income and asset diversification on earnings management using discretionary loan loss provisions (LLP) in banks, and the role of risk level in mediating this effect.

A sample of banks operating in Middle East and North Africa countries was used to test the mediation model of Baron and Kenny (1986) with different measures of diversification and risk.

The results show that bank income and asset diversification have unique and combined effects on earnings management. The results also support the idea that a risk-mediating effect contributes to explaining this relationship among banks. Specifically, bank diversification strategies positively affect LLP-based earnings management by increasing bank risk. This result is relevant for conventional banks. However, only a direct and positive effect of diversification strategies on LLP-based earnings management can be observed in Islamic banks, and the indirect effect is not supported.

This study extends previous research by examining the unique and combined effects of income and asset diversification strategies on earnings management in the banking sector. Specifically, it provides new evidence that diversification strategies increase LLP-based earnings management, both directly and indirectly, through bank risk.

The purpose of this paper is to manage knowledge pertaining to micro, small and medium enterprise (MSME) actors in the business, agriculture and industry sectors. This study uses text mining techniques, specifically Latent Dirichlet Allocation Mallet, to analyze the data obtained from the in-depth interviews. This analysis helps us identify and understand the issues faced by these actors.

In this study, the authors use big data and business analytics to recalculate the MSME business vulnerability index in 503 districts and 34 provinces across Indonesia. Subsequently, the authors conduct in-depth interviews with MSME actors in Medan, Central Java, Yogyakarta, Bali and Manokwari, West Papua. Through these interviews, the authors explore their strategies for surviving the COVID-19 pandemic and the extent of their digital literacy, and the application of technology to maximize sales and business outcomes.

The findings reveal that, for the sustainable growth of MSMEs during and after the pandemic, collaboration across the Penta-Helix framework is essential. This collaboration enables the development of practical solutions for the challenges posed by COVID-19, particularly in the context of the “new normal.” In addition, the authors’ survey of MSMEs involved in agriculture, trade and processing sectors demonstrates that 58.33% experienced a decrease in income during the pandemic and 12.66% reported an increase in revenue. In contrast, 25% experienced no change in income before and during the pandemic.

This research contributes significantly by offering comprehensive insights obtained from in-depth surveys conducted with MSMEs across multiple sectors. The findings underscore the importance of addressing the challenges MSMEs face and highlight the need for collaboration within the Penta-Helix framework to foster their resilience and success amidst the COVID-19 pandemic.