-driven volatility estimators using high-frequency data and suggest multivariate applications. In addition to testing for the presence of … associated with the Asian and Russian financial crises. We find changes in the dynamics and long memory of volatility in the …

In this paper, we introduce a new approach for volatility modeling in discrete and continuous time. We follow the … stochastic volatility literature by assuming that the variance is a function of a state variable. However, instead of assuming …

, taking the form of postponed capacity investment, may occur in Markov Perfect Equilibrium. Volatility and the expected speed …

The risk-return trade-off being the very substance of finance, volatility has always been an essential parameter for … volatility risk: i.e. the model risk generated by treating the volatility as a constant parameter, when it is in fact volatile …. Hence the econometrician is asked for accurate measures and reliable forecasts of volatility, not only for pricing and …