Purpose This paper aims to undertake a thematic review of academic papers on financial technology (FinTech) to identify three broad categories for the purpose of classifying extant literature. The paper summarizes the research and findings in this emerging field. Thereafter, it identifies the gaps and provides directions for further research. Simultaneously, the paper collates technical terms related to FinTech that appear repeatedly in each category and explains them. Finally, the study highlights the lessons that growing FinTech firms and their regulators can learn from the experiences of their counterparts across the globe. Design/methodology/approach A systematic review of literature consisting of 130 studies (social science research network [SSRN]-29 papers, Scopus-81, other sources-20) on FinTech is carried out in this thematic paper. Findings This thematic paper divides FinTech into three themes, i.e. financial industry, innovation/technology and law/regulation. The paper suggests that a thorough impact of FinTech on various stakeholders can be understood using three dimensions, namely, consumers, market players and regulatory front. It is noted that FinTech is in its nascent phase and is undergoing continuous development and implementation through product and process innovation, disruption and transformation. Research limitations/implications The paper reports that FinTech promises huge potential for further study by various stakeholders in the FinTech industry – from academia to practitioners to regulators. Practical implications The paper summarizes lessons that could be of significance for FinTech users, producers, entrepreneurs, investors, policy designers and regulators. Originality/value The paper is believed to add value to the understanding of FinTech in light of the emerging threats and opportunities for its various stakeholders.

To contain the spread of the Covid-19 pandemic, the mandated social distancing and restricted market activities have adversely affected the employment and earnings of the poor who are considered the targeted beneficiaries of the Microfinance Institutions (MFIs). The MFI operation and more specifically fresh lending are under serious threat as the mode of operations primarily involve physical interaction while distributing credits at the clients' doorsteps, conducting periodic group meetings and carrying out regular collections. This short article attempts to analyze the various challenges that MFIs may encounter in their current and future operations due to the ongoing pandemic. It discusses how the government initiated coping mechanisms may help MFIs overcome or minimize the pandemic challenges. At the same time, MFIs' efforts towards continued services are expected to create a win-win situation.

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In this paper, we extend the parametric approach of VaR estimation that is based upon the application of two transforms, one for handling skewness and other for kurtosis. These transformations restore normality to data when applied in succession. The transforms are well defined and offer an alternative to VaR models based on the variance–covariance approach. We demonstrate the application of the technique using three pairs of uncorrelated but negatively skewed and fat-tailed stock return distributions, one pair each from recent periods in US and international market, and one from the stressed period of US economic history. Furthermore, we extend the analysis to economic domain by calculating expected shortfalls and risk capital under different estimation methods. For the sake of completion, we compare the estimation results of normal and transformation methods to non-parametric historical simulation.

The study examines the impact of the Microfinance Institutions’ (MFIs) size on their client targeting. Using MFI clients’ household data, the study considers household income, wealth, human development, caste, settlement type, and purposes of loans as different client targeting dimensions. The analysis is based on a sample survey of over 301 women clients who had received loans exclusively from 12 big and 13 small MFIs.The results indicate that the MFI size has an adverse effect on social performance. As the MFIs grow in size, they tend to target and serve the wealthier and non-agriculturally employed clients residing in urban areas. The women’s passive role in borrowing emerges as yet another concern. The instances of poverty penalty among the poor clients as reflected through higher interest rates for small-sized loans are yet another concern. The target towards poverty eradication may turn out to be a far cry under the large-sized MFIs.