regressions are used to study this relation as we control for beta, size, book-to-market ratio, momentum and liquidity. From a …

growing importance of emerging markets, the literature on the nature of volatility in global markets is typified by … 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 …

This study investigated how stock market volatility responded dynamically to unexpected changes during the COVID-19 … pandemic and the resulting uncertainty in Thailand. Using a multivariate GARCH-BEKK model, the conditional volatility dynamics …, the interlinkages, and the conditional correlations between stock market volatility and the increasing rate of COVID-19 …

show that the volatility of the survivor stocks portfolio is less exposed to tail risks and responds less to shocks in the …

We studied (i) the volatility feedback effect, defined as the relationship between contemporaneous returns and the … market-based volatility, and (ii) the leverage effect, defined as the relationship between lagged returns and the current … market-based volatility. For our analysis, we used daily measures of volatility estimated from high frequency data to explain …

degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which … forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation … distribution of returns. Explicitly modeling this volatility risk is fundamental. We propose a dually asymmetric realized …