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...

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...

The purpose of this study is to investigate the impact of funding liquidity risk on the banks' risk-taking behavior. To test the hypotheses, we apply the two-step system GMM technique on US commercial banks data from 2002 to 2018. We find that funding liquidity increases the banks' risk-taking...

This study examines the speed of adjustment of the leverage and regulatory capital ratios between 2002 and 2018 for large commercial banks of the USA. The study applies a two-step system GMM technique to obtain the speed of adjustment. The results prove that higher-quality capital requires...

This study aims to investigate the impact of banking-sector concentration on the banks' liquidity creation in GCC countries over the period from 2012 to 2018 by using a dynamic GMM panel procedure. The results suggest that increased bank competition reduces banks' liquidity creation across the...

This study aims to explore how different capital ratios influence the risk-taking of large commercial banks of the USA. The study collects the data from FDIC for commercial banks from 2003 to 2019. We use a two-step GMM method to manage the endogeneity, simultaneity, heteroscedasticity, and...