Using daily data of COVID-19 fear index and stock indices of 29 European countries over the period from January 1, 2020 to September 17, 2020, this study finds no evidence of adverse impact of COVID-19 outbreak on European stock markets at the level of full sample nor at European sub-regional...

Using daily data of COVID-19 fear index and stock indices of 29 European countries over the period from January 1, 2020 to September 17, 2020, this study finds no evidence of adverse impact of COVID-19 outbreak on European stock markets at the level of full sample nor at European sub-regional...

Using annual panel data of 126 developing countries over the period from 1970 to 2016, this study investigates effects of remitted funds' volatility and consumption on financial development. Our results, after controlling for endogeneity, document a significant adverse impact of remittances'...

This study aims to investigate the cyclicality of capital adequacy ratios (CARs) in US bank holding companies using a new business cycle index and a non-linear panel smooth transition regression model. The suggested index can predict US business activity with a higher accuracy than existing...

Using the daily data covering both the first and second wave of COVID-19 pandemic over the period from March 3, 2020, to February 12, 2021, this study documents a strong positive comovement between implied volatility indices and two proxies of the COVID-19 fear. However, in all the cases, the...

We use wavelet coherence analysis on global COVID-19 fear index and soft commodities spot and futures prices to investigate safe-haven properties of soft commodities during the period of novel Corona virus pandemic. The results show that staple food soft commodities (wheat, corn, and cocoa) and...

We use wavelet coherence analysis on global COVID-19 fear index, cryptocurrency market specific implied volatility index (VCRIX) and cryptocurrency returns to investigate safe-haven properties of cryptocurrencies during COVID-19 pandemic. The findings of our paper show that a non-financial...

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 data of the constituents of the MSCI USA ESG leader index, this study investigates the herding behavior in the US ESG stocks over the period from January 03, 2007 to September 30, 2020. Our results reveal a significant herding behavior in the US ESG leader stocks. Our findings also show...

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...