stochastic volatility. Our approach uses linear regression to reduce the dimension of the numerical optimization problem yet it … cross-section of yields well but not volatility while unspanned models fit volatility at the expense of fitting the cross-section …

We develop a tractable and flexible stochastic volatility multi-factor model of the term structure of interest rates …

We develop and implement a new method for maximum likelihood estimation in closed-form of stochastic volatility models … unobservable volatility state, to an approximate likelihood procedure where the volatility state is replaced by the implied … volatility of a short dated at-the-money option. We find that the approximation results in a negligible loss of accuracy. We …

-pricing perspective, e.g., negative skewness and excess kurtosis for asset returns, volatility 'smiles' for option prices. We perform …

The notion of model-free implied volatility (MFIV), constituting the basis for the highly publicized VIX volatility … more compatible with the related concept of corridor implied volatility (CIV). We provide a comprehensive derivation of the … CIV measure and relate it to MFIV under general assumptions. In addition, we price the various volatility contracts, and …

-style models and models in which the state variables are the stochastic long-run mean and volatility of r. Third, we compute …