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...

This study contributes to the debate on safe-haven characteristics of environmental, social, and governance (ESG) stocks during COVID-19 pandemic. Using wavelet coherence framework on four major ESG stock indices from global and emerging stock markets, and two proxies of COVID-19 fear over 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...

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...

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...