The Heston model stands out from the class of stochastic volatility (SV) models mainly for two reasons. Firstly, the … process for the volatility is nonnegative and mean-reverting, which is what we observe in the markets. Secondly, there exists …. -- Heston model ; vanilla option ; stochastic volatility ; Monte Carlo simulation ; Feller condition ; option pricing with FFT …

autoregressive processes revealing time-varying stochastic volatility. The factor volatilities capture risk inherent to the term … additional determinants of future excess returns. Finally, we illustrate that the yield and volatility factors are closely con … ; yield curve risk ; stochastic volatility ; factor models ; macroeconomic fundamentals …

capturing interest rate risk. The so-called Stochastic Volatility Nelson-Siegel (SVNS) model allows for stochastic volatility in … evidence for time-varying volatility in the yield factors. This is mostly true for the level and slope volatility revealing … also the highest persistence. It turns out that the inclusion of stochastic volatility improves the model's goodness …

Using positive semidefinite supOU (superposition of Ornstein-Uhlenbeck type) processes to describe the volatility, we … introduce a multivariate stochastic volatility model for financial data which is capable of modelling long range dependence … effects. The finiteness of moments and the second order structure of the volatility, the log returns, as well as their …

be an ideal alternative model for practitioners in modeling stock return volatility. I show that the two-component GARCH …

We estimate a multivariate unobserved components stochastic volatility model to explain the dynamics of a panel of six …

We develop a discrete-time affine stochastic volatility model with time-varying conditional skewness (SVS). Importantly …, we disentangle the dynamics of conditional volatility and conditional skewness in a coherent way. Our approach allows … autoregressive conditional heteroskedasticity (GARCH), and stochastic volatility with jumps (SVJ) models. Our results are not due to …

In this paper we propose a Libor model with a high-dimensional specially structured system of driving CIR volatility … calibration algorithm is FFT based, so fast and easy to implement. -- Libor modelling ; stochastic volatility ; CIR processes …