Using two-stage instrumental variable technique and two-step system GMM approach, we provide empirical evidence on impact of income, asset, and funding diversifications on the cost and profit efficiency of the US commercial banks over the period from 2002 to 2019. Our results show that funding...

Using GMM framework on the data of the US commercial banks over the period from 2002 to 2018, this study shows that banks adjust their regulatory capital ratios faster than traditional capital ratios; and, in most cases, the speed of adjustment of a traditional capital ratio is lower than...

This paper explores the potential outcomes of using peer-to-peer lenders in financing economic activity. Combining a random regression forest, a machine-learning process, with an agent-based model, we perform simulations on artificial economies with various degrees of adoption of peer-to-peer...

Using GMM framework on the data of the US commercial banks spanning over 2002 to 2018, this study shows that banks adjust their regulatory capital ratios faster than traditional capital ratios. Our results show that the speed of adjustment of regulatory capital ratios and traditional capital...

Using panel smooth transition regression framework on a new proxy of business cycle (BC) index and quarterly data of US bank holding companies from 1993Q1 to 2020Q1, our results provide the empirical support to the theory that BC has non-linear effect on liquidity creation. We find a positive...