In this study, we evaluate the quantile forecasts of the daily equity returns on three of the most liquid stocks traded on the Prague Stock Exchange. We follow the recent findings that consider the potential value of intraday information for volatility forecasting and, instead of proxying...

I consider continuous time asset pricing models with stochastic differential utilityincorporating decision makers' concern with ambiguity on true probability measure.In order to identify and estimate key parameters in the models, I use a novel econometricmethodology developed recently by Park...

Die aktuelle Wirtschaftskrise wirft die Frage auf, ob nicht durch eine bessere Ausschöpfung der in den verschiedenen Frühindikatoren enthaltenen Informationen die aufgetretenen Prognosefehler hätten vermieden werden können. Dies gilt insbesondere vor dem Hintergrund des überraschend...

Die aktuelle Wirtschaftskrise wirft die Frage auf, ob nicht durch eine bessere Ausschöpfung der in den verschiedenen Frühindikatoren enthaltenen Informationen die aufgetretenen Prognosefehler hätten vermieden werden können. Dies gilt insbesondere vor dem Hintergrund des überraschend...

This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon lag polynomial scheme which is designed to reduce...

We explore the relative weekly stock market volatility forecasting performance of the linear univariate MIDAS regression model based on squared daily returns vis-a-vis the benchmark model of GARCH(1,1) for a set of four developed and ten emerging market economies. We first estimate the two...

The predictive power of recently introduced components affecting correlations is investigated. The focus is on models allowing for a flexible specification of the short-run component of correlations as well as the long-run component. Moreover, models allowing the correlation dynamics to be...