Purpose - This work seeks to investigate post-crisis measures banks have adopted in a bid to manage liquidity risk. It is based on the fact that the financial liquidity market was greatly affected during the recent economic turmoil and financial meltdown. During the crisis, liquidity risk...

The financial sector in advanced economies has undergone significant evolution driven by restructuring, globalization, and the digital revolution, which have profoundly shaped its developmental dynamics. This study investigates the forces behind the growth and convergence of the financial sector...

This study establishes economic growth needed for supply-side mobile money drivers in developing countries to be positively related to mobile money innovations in the perspectives of mobile money accounts, the mobile phone used to send money, and the mobile phone used to receive money. The...

This study provides minimum economic growth (or GDP growth) critical masses or thresholds that should be exceeded in order for demand-side mobile money factors to favorably drive mobile money innovations for financial inclusion in developing countries. The considered mobile money innovations...

The present study investigates how increasing bank accounts and bank concentration affect mobile money innovations in 148 countries. It builds on scholarly and policy concerns in the literature that increasing bank accounts may not be having the desired effects on financial inclusion on the one...

This study addresses the issue of financial innovation in developing countries, focusing specifically on the role fintechs have in closing the gender gap of financial inclusion in SubSaharan Africa (SSA) over the period 2011-2017. The empirical evidence is based on the multilevel tobit...

This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...

This study used the matching technique to explore the impact of financial inclusion on the performance of manufacturing firms in Nigeria. Most studies that have considered financial inclusion have largely focused on household access to the services of financial institutions, but have...

"Replications are an important part of the research process because they allow for greater confidence in the findings" (McEwan, Carpenter & Westerman, 2018, p. 235). This study extends Lashitew, van Tulder and Liasse (2019, RP) by addressing the concern of multicollinearity that affects the...