financial markets favours the volatility and return spillover between them. The current study analyses the volatility spillover … proposed by Antonakakis and Gabauer (2017) is used to estimate the evolution in time of volatility spillover. The empirical … results obtained for the period January 2001 - September 2021 highlight the increase in volatility spillover between the …

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 …

volatility during the 7-year total examined time period. Splitting the time series into 3 individual sub-periods the results … conditional volatility during financial crises. Furthermore, announcements of GDP and ZEW index calm the exchange rate …'s conditional volatility during the post-crises period. Finally, announcements of GDP data and PMI index form production sector …

The adjusted measure of realized volatility suggested in [20] is applied to high- frequency orderbook and transaction … data of DAX and BUND futures from EU- REX in order to identify the drivers of intraday volatility. Four components are … realized volatility can be predicted by a simple linear model based on the components identified. It is shown how the …