(MRS-MNTS-GARCH) to accommodate fat tails, volatility clustering and regime switch. The volatility of each asset …

This paper builds and implements multifactor stochastic volatility models for the international oil/energy markets … (Brent oil and WTI oil) for the period 2011-2021. The main objective is to make step ahead volatility predictions for the … important for market participants, implying predictability. The paper estimates multifactor stochastic volatility models for …

Markov-switching Heston's stochastic volatility model. Under this framework, the expected return and the long-term mean of … evidence that the Markov-switching Heston's stochastic volatility model performs well in capturing major events affecting price … volatility model. …

one-month variance swap rate, i.e., the CBOE Volatility Index (VIX) accurately. Our research suggests that one should use …

options prices under Heston's stochastic volatility (SV) model. We demonstrate that under a particular reparametrization, this … volatility 'smile', which indicates a likely distortion in the Black-Scholes modeling of such option data. Reflective of entirely … different market expectations, this distortion in the volatility 'smile' appears not to exist in the TLT option data. We provide …

volatility. Many exotics are priced in a local volatility framework. Pricing under local volatility has become a field of … that assumes a constant volatility. The Johannesburg Stock Exchange (JSE) lists exotic options on its Can-Do platform. Most … exotic options listed on the JSE’s derivative exchanges are valued by local volatility models. These models needs a local …

volatility of underlying rely on hidden states of the economy which can be interpreted in terms of Markov chains. By means of the …

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 …