The purpose of this study is to find the influence of various macroeconomic factors on the volatility index, as … macroeconomic factors affect stock market volatility, resulting in an impact on the VIX Index, representing the risk in the stock … market. To estimate the significance and importance of the U.S. macroeconomic variables on stock market volatility and risk …

We look into determinants (volatility, crises, sentiment and the U.S. ‘fear’ index) of herding using BRICS as our … relationship between volatility and CSAD (cross sectional absolute deviation)/herding, a lower CSAD (movement in a specific … direction) brings about less volatility. However, a high volatility amplifies herding (reduces CSAD), especially in China …

indicate that (1) the volatility of a stock’s returns and its centrality measures in the stock network are the main sources … exposure compared to firms with lower ESG ratings and (3) COVID-19 augmented the partial effects of volatility, centrality …

trading around quarterly earnings announcements is either directionally motivated and/or volatility motivated. We found … volatility-motivated option trading, and our results suggest that this type of option trading could be motivated by hedging …

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 paper studies the effect of COVID-19 on the volatility of Australian stock returns and the effect of negative and … positive news (shocks) by investigating the asymmetric nature of the shocks and leverage impact on volatility. We employ a … than the GARCH model in estimating the volatility of the Australian stock returns. However, another interesting finding is …

One of the notable features of bitcoin is its extreme volatility. The modeling and forecasting of bitcoin volatility … volatility were founded on econometric models. Research on bitcoin volatility forecasting using machine learning algorithms is … bitcoin's return volatility and Value at Risk. The objective of this study is to compare their out-of-sample performance in …

volatility in developed (US, Australia), emerging (Turkey, Poland), and frontier (Morocco, Jordan) markets. A study using a GJR … waves. Furthermore, in the aftermath of the pandemic development, an increase in the volatility of stock returns can be …

economic aspects of the world. This study investigated the Islamic stock market's reaction and changes in volatility before and … nine different markets around the globe. To examine changes in volatility and persistence of risk, the generalized … hand, the volatility of Islamic stock indices was substantially amplified after the global health crisis was declared by …