Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The mechanism behind price formation in electricity futures markets is still under discussion. Theory suggests that hedging pressure caused by deviating risk preferences is the most promising approach. This paper contributes to the discussion through an empirical investigation of electricity futures for delivery in Germany traded at the European Energy Exchange (EEX). We analyse the futures from an ex post perspective and find evidence for significant positive risk premia at the short-end. Furthermore, we detect a term structure of risk premia and the existence of seasonality in the risk premia. When testing for factors influencing the risk premia the results suggest that risk premia are directly related to factors linked to risk considerations. Terms of use: Documents in EconStor may
Current pulses of up to 20 A and as short as 3 ps are generated by a low-temperaturegrown GaAs (LT-GaAs) photoconductive switch and guided through a coplanar waveguide, resulting in a 0.6 tesla sub-terahertz (THz) magnetic field pulse. The pulse length is directly calibrated using photocurrent autocorrelation. Magnetic excitations in Fe microstructures are studied by time-resolved Kerr spectroscopy. An ultra-fast response time (within less than 10 ps of the magnetization) to the sub THz electromagnetic field pulse is shown.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The mechanism behind price formation in electricity futures markets is still under discussion. Theory suggests that hedging pressure caused by deviating risk preferences is the most promising approach. This paper contributes to the discussion through an empirical investigation of electricity futures for delivery in Germany traded at the European Energy Exchange (EEX). We analyse the futures from an ex post perspective and find evidence for significant positive risk premia at the short-end. Furthermore, we detect a term structure of risk premia and the existence of seasonality in the risk premia. When testing for factors influencing the risk premia the results suggest that risk premia are directly related to factors linked to risk considerations. Terms of use: Documents in EconStor may
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Risk Premia in Electricity Wholesale Spot Markets -Empirical Evidence from GermanyMatthäus Pietz* This paper contributes to the ongoing discussion on price formation in electricity markets. For this, we conduct an analysis of the German electricity wholesale spot market which is located at the European Energy Exchange (EEX). Our dataset covers three spot market segments, namely the intraday market, the block contract market and the day-ahead market. Data ranges from August 2002 to May 2009. As results we find significant positive risk premia, both in the block contract market and in the day-ahead market. The risk premia in day-ahead market contracts vary in magnitude and in sign throughout the day. Furthermore, we detect a term structure of risk premia during the sub-period in which all three market segments were simultaneously existent. When testing for seasonality in the risk premia, we find evidence for higher risk premia in the summer months. The hypothesis of a relation between the risk premia and the spot price variance and skewness has to be rejected.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Simulation-based valuation of project finance -Does model complexity really matter? AbstractThis paper analyzes the impact of model complexity on the net present value distribution and the expected default probability of equity investments in project finance. Model complexity is analyzed along two dimensions: simulation complexity and forecast complexity. We aim to identify model elements which are crucial for the valuation of project finance in practice.First, we present a simulation-based project finance valuation model. Second, we vary several model aspects in order to analyze their impact on the valuation result. For forecast complexity, we apply different volatility and correlation forecasting techniques, e.g. correlation forecasts based on historical values and on a dynamic conditional correlation (DCC) model. Regarding simulation complexity, the number of Monte Carlo iterations, the equity valuation method, and the time resolution are varied.We find that the applied volatility forecasting models have a strong influence on the expected net present value distribution and on the probability of default. In contrast, correlation forecasting models play a minor role. Time resolution and equity valuation are both crucial when specifying a valuation model for project finance. For the number of Monte Carlo iterations, we demonstrate that 100,000 iterations are sufficient to obtain reliable results.
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