Stochastic volatility models provide a framework in which the variability of asset returns is itself a random process, addressing empirical features such as volatility clustering, leverage effects and ...

This paper studies European option pricing in a regime-switching Heston-Hull-White framework. The model combines stochastic volatility, stochastic interest rates, and a Markov-chain-driven ...

This paper examines the application of various stochastic volatility models to real data and demonstrates their effectiveness in calibrating a wide range of options, including those with short-term ...

A stochastic volatility model where volatility was driven solely by a latent variable called news was estimated for three stock indices. A Markov chain Monte Carlo algorithm was used for estimating ...

Last time, I discussed how the Stochastic oscillator is an indicator that determines whether the market is overbought or ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, ...

J.B. Maverick is an active trader, commodity futures broker, and stock market analyst 17+ years of experience, in addition to 10+ years of experience as a finance writer and book editor. The ...