This paper addresses stock market volatility in Germany between 1991 and 2018. Through a GARCH model with leverage term …, an estimation of volatility in the DAX is provided. Such estimation is then plugged into a quantile regression model … where potential economic determinants are analyzed. The results suggest that stock market volatility in Germany reached its …

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 … volatility remains higher than in normal periods, signaling a bearish tendency in the market. The COVID variable, as an exogenous …

We examined volatility spillover effects from five prominent global stock markets to India's stock market during the … and compare the results pre-and-post COVID-19. Results show that previous period news and volatility feeds the next period …'s volatility significantly and the volatility is found to be persistent. The analysis also shows that during the pre-COVID period …

It has been established in the literature that volatility of stock returns exhibits complex properties of not only … volatility clustering, but also long memory, regime change, and substantial outliers during turbulent and calm periods. Hence …, this paper seeks to analyze volatility spillover, co-movements, independence and contagion in the Chinese, Japanese …

characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …