based on averages of past futures returns, normalized by their volatility. We test these strategies on a universe of 64 … asset class, realized futures volatility is contemporaneously negatively related to the Fama and French (1987) market (MKT … in trading costs. We construct measures of momentum-specific volatility, both within and across asset classes, and show …

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 …

predictive variance. We show theoretically how this adjustment factor affects both average and volatility of excess returns. We … related to excess volatility as predicted by the model. Further confirming the model's implications, we also show how stock …

volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main … nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH …]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper …

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 …

This study examines the determinants of time-varying return volatility of Africa's equity markets using monthly indices … of eight top African stock markets. The conditional variance is modelled as a proxy for Africa's volatility indices using … volatility, the least squares dummy variable bias correction (LSDVC) model is employed. The study finds that volatility of …

We find that the relation between the idiosyncratic volatility (IVOL) anomaly and the beta anomaly is quite different …-alpha relation. A measure of idiosyncratic volatility over a long window, popularly used by the investments industry to construct low-volatility … low volatility investing, and enrich the debate about the relation between the two low-risk anomalies …