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 …

Tests for the existence and the sign of the volatility risk premium are often based on expected option hedging errors … the premium is the same as the sign of the mean hedging error for a large class of stochastic volatility option pricing …

We are concerned with the valuation of European options in Heston's stochastic volatility model with correlation. Based …

In this paper we propose a Libor model with a high-dimensional specially structured system of driving CIR volatility …

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 …

We consider a stochastic volatility model of the mean-reverting type to describe the evolution of a firm’s values … default probability. Our simulation results indicate that the stochastic volatility model tends to predict higher default … probabilities than the corresponding Merton model if a firm’s credit quality is not too low. Otherwise the stochastic volatility …

Nonparametric methods for estimating the implied volatility surface or the implied volatility smile are very popular …. The first step requires to extract implied volatility data from observed option prices, in the second step the actual … and less tractable. In this study, we propose a one-step estimator for the implied volatility surface based on a least …

Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation.In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …

Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …