Predicting volatility is a must in the finance domain. Estimations of volatility, along with the central tendency … research is to analyze the influence of COVID-19 on the return and volatility of the stock market indices of the top 10 … countries based on GDP using a widely applied econometric model-generalized autoregressive conditional heteroscedasticity (GARCH …

identifies the factors driving volatility spillovers within Asian-Pacific financial markets during the initial wave of the Covid … the rising number of Covid-19 cases per million and volatility spillovers. We introduce three novel determinants … impact volatility transmission in response to new cases. Stringent government measures, such as travel bans and lockdowns …

exponential GARCH (EGARCH) model with an integrated dynamic conditional correlation (DCC) approach to measure the impact on the …This research examines the correlations between the return volatility of cryptocurrencies, global stock market indices …, and the spillover effects of the COVID-19 pandemic. For this purpose, we employed a two-stage multivariate volatility …

volatility in developed G7 and emerging BRICS markets. Broad market index data and GARCH models over the period 2003 …:01–2020:08 were employed. The study found evidence of volatility persistence, asymmetry, mean reversion and weak evidence of a risk … growing importance of emerging markets, the literature on the nature of volatility in global markets is typified by …