This paper analyses the implementation and calibration of the Heston Stochastic Volatility Model. We first explain how …

stochastic volatility model in order to construct highly efficient representations. Initially, the SABR approximation of Hagan et …

This paper analyses the implementation and calibration of the Heston Stochastic Volatility Model. We first explain how …

Derivatives, especially equity and volatility options, contain valuable and oftentimes essential information for … estimating stochastic volatility models. Absent strong assumptions, their typically highly nonlinear pricing dependence on the … jointly accounts for stock returns as well as prices of equity and volatility options. Finally, we provide numerical results …

simulation algorithm exists for this process, at present this is not the case for the Heston stochastic volatility model, where …

The characteristic functions of many affine jump-diffusion models, such as Heston’s stochastic volatility model and all …

common belief, the auction prices for gas storage are mostly affected by the volatility of current market prices rather than … with the volatility of the spot market. This is an intuitive result because storage capacity can serve as an effective …

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 …

along with the specification of (a) the initial density, and (b) the volatility structure of the density. The volatility …