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 …

accounts for time variation in macroeconomic volatility, known as the great moderation. In particular, we consider an … volatility processes and mixture distributions for the irregular components and the common cycle disturbances enable us to … that time-varying volatility is only present in the a selection of idiosyncratic components while the coefficients driving …

volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are …

We investigate high-frequency volatility models for analyzing intra-day tick by tick stock price changes using Bayesian … estimation procedures. Our key interest is the extraction of intra-day volatility patterns from high-frequency integer price … distributions. We allow for stochastic volatility by modeling the variance as a stochastic function of time, with intra-day periodic …

While the stochastic volatility (SV) generalization has been shown to improvethe explanatory power compared to the … then investigate the respectiveeffect of stochastic interest rate, systematic volatility and idiosyncraticvolatility on … thesystematc volatility of the consumption process, our estimation results suggestthat the short-term interest rate fails to be a …

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 …

. First, empirical data are often characterized by time-varying volatility and fat tails; therefore we use Gaussian GAS …

most important factor in reducing portfolio variance is the use of a flexible model for time varying volatility, rather … good on the present set of measures as the stochastic volatility models, with or without dynamic correlation. …