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This study aims to examine the impact of governance on the double-bottom-line performance of microfinance institutions (MFIs) in Bangladesh.

This study relies on three dimensions of corporate governance (CG) practices, that is, functions of the board of directors (BoD), top-level management activities and external governance mechanisms. This study uses panel data econometrics, particularly pooled OLS, fixed effects and two-stage system generalized method of moments to deal with potential endogeneity concerns. The panel data set covers 1,200 MFI year observations from Bangladesh for the period between 2005 and 2019.

The findings show that the presence of stakeholders on boards plays a critical role in MFIs. The dual goals of MFIs are influenced by board size, board independence and CEO duality. Internal management activities, risk perceptions and external governance also impact MFIs’ performance. Women on board have an inverse association with outreach. The activities of female managers have a significant impact on depth of outreach.

Like many others, this study also admits the data constraint issues in microfinance research. CG data for MFI are mostly unavailable in the public domain; therefore, this study must rely on third-party data sources. This study only includes MFIs that has data for all variables of interest.

Governance attributes in hybrid organizations are constituted differently. To warrant multistakeholder engagement, there is a need to develop a distinctive governance manual for hybrid organizations like MFIs.

This study proposes adopting a Social Director on the BoD to ensure the scope of outreach depth, given the importance of social goals in MFIs.

This study contributes to the ongoing debate on microfinance governance, addresses the issue based on different theoretical aspects using a country-specific data set and uses dynamic panel models to deal with potential endogeneity concerns.

This paper assesses the environment of legitimacy by determining the role of institutional quality and policy uncertainty on the performance of five major South Asian stock markets (India, Pakistan, Bangladesh, Sri Lanka, and Nepal) using 21 years data from 2000 to 2020. The focus of this study is to approach the issue of the environment of legitimacy that leads to sustained market returns.

Panel cointegration tests of Kao and Pedroni are applied, and the Dynamic Panel Vector Autoregressive (PVAR) model is used to determine the estimates.

ADF P-Values of both Kao and Pedroni tests show that the panels are cointegrated; the statistical significance of the results of the Kao and Pedroni panel cointegration test confirms cointegration among the variables. After determining the most appropriate lag, the analysis is done using PVAR. The results indicate that institutional quality, policy uncertainty, and GDP positively affect stock market return. Meanwhile, government actions and inflation negatively affect stock market returns. On the other hand, stock market return positively affects institutional quality, government action, policy uncertainty, and GDP. While stock market return negatively affects inflation.

The sample is taken only from a limited number of South Asian countries, and the period is also limited to 21 years.

Based on our research findings, we have identified several policy implications recommended to enhance and sustain the performance of stock markets.

This paper uses a unique analytical tool, which gives a better insight into the problem. The value of this work lies in its findings, which also have practical implications and theoretical significance.

This paper aims to examine the probable effect of the General Data Protection Regulation of the European Union on the transfer of financial intelligence to a third country without an adequacy decision.

This is an analytical study of the financial intelligence exchange mechanisms between the Bangladesh Financial Intelligence Unit (BFIU) and its foreign counterparts. The research analyses the key challenges this national agency faces in using the Egmont Group membership to import financial intelligence from jurisdictions with a superior data protection regime.

Membership in the Egmont Group of Financial Intelligence Units does not guarantee unrestricted international intelligence exchange. Existing data protection regulations in Bangladesh are inadequate. This may forbid the transfer of the financial intelligence linked to European Union (EU) data subjects to Bangladesh.

This paper does not cover a thorough discussion on any specific alternative tools for data transfer from the EU to a third country except for “appropriate safeguards” options.

The results of this study will help understand the existing legal and institutional limitations that may prevent intelligence exchange between the BFIU and its EU counterparts.

The study helps ascertain the legislative reform necessary in Bangladesh, a third country, to facilitate the transfer of financial intelligence from the EU.