difficulties for the use of Fourier inversion methodologies in volatility surface calibration. Continuous time Markov chain …

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 …

-AGARCH) model to examine both return and volatility spillovers from the USA (developed) and China (Emerging) towards eight emerging … calculate the optimal weights and hedge ratios for the stock portfolios. Our results reveal that both return and volatility … volatility was transmitted from the USA to the majority of the Asian stock markets during the Chinese stock market crash …

This study uses the BEKK-GARCH model to examine the return-and-volatility spillover between the world-leading markets … during the global financial crisis and the crash of the Chinese stock market. Regarding volatility spillover, the results … show the bidirectional volatility transmission between the US and the stock markets of Chile and Mexico during the global …

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 introduces a novel index based on expectations concordance for explaining stock-price volatility when novel … market volatility. Lower expectations concordance produces a stabilizing effect wherein the offsetting views reduce market … volatility. The empirical findings hold for ex post and ex ante measures of volatility and for OLS and GARCH estimates. …

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 …

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 …

volatility. This paper adopts a Bayesian approach to estimate stock price volatility. We find evidence that overall Bayesian … volatility estimates more closely approximate the implied volatility of stocks derived from traded call and put options prices … compared to historical volatility estimates sourced from IVolatility.com (“IVolatility”). Our evidence suggests use of the …

This paper proposes the sample path generation method for the stochastic volatility version of the CGMY process. We …