In this paper I examine the properties of four realized correlation estimators and model their jumps. The correlations are between the French, German and Greek equity markets. Using intraday data I first construct four state-of-the-art realized correlation estimators which I then use to testing...

This paper introduces a new approach to modelling the conditional variance in a multivariate setting. It is essentially a combination of the popular GARCH model class with a spatial component, inspired by generalized space-time models. The resulting spatial GARCH model takes into account both...

This paper proposes a double tree structured AR-GARCH model for the analysis of stock index return series, which extends previous approaches to incorporate (i) an arbitrary number of multivariate thresholds in conditional means and volatilities of stock index returns and (ii) a richer...

Forecasting hourly electricity prices and their characteristic properties is a core challenge for energy generation companies and trading houses. The short-term marketing and purchase of electricity is usually managed with standardized products traded on different markets and with specific...

We do comparison between maximal and daily average production of photovoltaic (PV) and wind energy based on a transmission operator in Germany by using statistical analysis with di erent seasonality function. We adopt sun intensity as a seasonal function for PV and trigonometric function for...

The importance of solar energy has been growing in recent years. This raises the need for efficient modelling and forecasting methods. The existing methods are predominantly based on weather predictions or forecast solar radiation, which is not easy to convert into production forecast. Instead...

Item non-response occurs when respondents fail to provide answers to some or all of the questions posed during survey interviews. The standard procedure is to exclude such responses from the econometric analysis. This may be appropriate if the sample included does not differ significantly from...

We analyze market order arrivals on the intraday market for hourly electricity deliveries in Germany. As we distinguish between buys and sells, we work in a multivariate setting. We model the arrivals with a Hawkes process with exponentially increasing baseline intensity and exponentially...

Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...

Dieser Beitrag dokumentiert den Aufbau des Mikrosimulationsmodells EITDsim. EITDsim kann zur empirischen (ex ante) Evaluation von steuer- und finanzpolitischen Fragestellungen, insbesondere von (potentiellen) Steuerreformen, verwendet werden. Dafür kombiniert EITDsim auf Basis des erweiterten...