financial market that features volatility uncertainty. To have a mathematical consistent framework we use the notion of G … this more complex situation and consider stock price dynamics which exclude arbitrage opportunities. Due to volatility … claims and deduce explicit results in a Markovian setting. -- Pricing of contingent claims ; incomplete markets ; volatility …

-frequency volatility estimators, market risk evaluation, covariance estimation and multivariate extensions of the processes. The book … and continues to be engaged in research on many topics in finance. His primary areas of interest are volatility, ARCH …

In a tractable stochastic volatility model, we identify the price of the smile as the price of the unspanned risks … traded in SPX option markets. The price of the smile reflects two persistent volatility and skewness risks, which imply a …-form and structural models of stochastic volatility …

fluctuations of the volatility of the firm's market value of financial assets. The minimal version of the model depends on the …

To capture mean and variance asymmetries and time-varying volatility in financial time series, we generalize the … threshold stochastic volatility (THSV) model and incorporate a heavy-tailed error distribution. Unlike existing stochastic … volatility models, this model simultaneously accounts for uncertainty in the unobserved threshold value and in the time …

The field of financial econometrics has exploded over the last decade. This book represents an integration of theory …'s Program in Computational Finance. He regularly teaches courses on econometric theory, financial econometrics and time series … leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics …