We use the conditional autoregressive value at risk (CAViaR) model in combination with the time-varying parameter vector autoregressive (TVP-VAR) based connectedness approach to study the systematic tail risk transmission considering two types of crude oil (Brent and WTI) and also four refined...

In this paper, we examine the changes in the dependence structure of global stock markets amid the outbreak of COVID-19. We divide 56 stock markets into developed, emerging, and frontier markets and study their daily price data from October 15, 2019 to August 17, 2020 using the canonical vine...

Are gold-backed cryptocurrencies as stable as gold during crises? In this paper, we assess whether gold-backed stablecoins, purported to be safer than other cryptocurrencies indeed demonstrate safe haven characteristics during the COVID-19 pandemic. In the digital assets’ ecosystem,...

This study investigates the dynamic connectedness across the variance risk premium in international developed and emerging equity markets based on a Bayesian time-varying parameter vector autoregressive methodology.The empirical results indicate that the total spillover index is on average...

This paper studies the dynamic change of volatility spillovers between several major international financial markets during the global COVID-19 pandemic using Diebold and Yilmaz's connectedness index. We found that the total volatility spillover in this March reached its highest level of recent...

We analyse the impact of the COVID-19 pandemic on spillover between conventional and Islamic stock and bond markets. We further analyse comparatively whether gold, oil, and Bitcoin prices, VIX and EPU index affect the relationships between these markets during the COVID-19 pandemic. The results...

We employ multifractal detrended fluctuation analysis (MF-DFA) to provide the first look at the efficiency of forex markets during the initial period of ongoing COVID-19 pandemic, which has disrupted the financial markets globally. We use high frequency (5-min interval) data of six major...

This study uses network theory to investigate the change in the dynamics of the financial markets of G20 countries, in the aftermath of COVID-19. The sheer scale, scope, and nature of the disruptions brought by the pandemic makes it an unprecedented global event. We find a major change in the...