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 …

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 …

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 …

floating exchange rate system in February 2001. In this paper, an asymmetric stochastic volatility model of the foreign … exchange return and its volatility. Particularly, an increase in the return at time t results in an increase in volatility at … decrease in volatility at time t + 1. The results imply that a central bank with a volatility smoothing policy would be biased …

realized volatility. The jump component has very different time series properties than the continuous component, and accounting … for this allows improved forecasting of future realized volatility. We investigate the potential forecasting role of … implied volatility backed out from option prices in the presence of these new separate realized volatility components. We show …

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 …

We study measures of foreign exchange rate volatility based on high-frequency (5-minute) $/DM exchange rate returns … using recent nonparametric statistical techniques to compute realized return volatility and its separate continuous sample … implied volatility. We find that implied volatility is an informationally efficient but biased forecast of future realized …

This paper proposes a parsimonious threshold stochastic volatility (SV) model for financial asset returns. Instead of … imposing a threshold value on the dynamics of the latent volatility process of the SV model, we assume that the innovation of … time-varying volatility of returns, but also can accommodate the asymmetric shape of conditional distribution of the …