This paper deals with the impact of the $/¿ exchange rate on German exports in the period from 1995Q1 to 2008Q4. Our main aim is to identify "pain thresholds" for German exporters. We rely on a non-linear model according to which suddenly strong spurts of exports occur when changes of the EXR...

This paper deals with the impact of the $/Euro exchange rate on German exports in the period from 1995Q1 to 2008Q4. Our main aim is to identify "pain thresholds" for German exporters. We rely on a non-linear model according to which suddenly strong spurts of exports occur when changes of the EXR...

This paper deals with the impact of the $/€ exchange rate on German exports in the period from 1995Q1 to 2008Q4. Our main aim is to identify "pain thresholds" for German exporters. We rely on a non-linear model according to which suddenly strong spurts of exports occur when changes of the EXR...

This paper deals with the impact of the $/€ exchange rate on German exports in the period from 1995Q1 to 2008Q4. Our main aim is to identify pain thresholds for German exporters. We rely on a non-linear model according to which suddenly strong spurts of exports occur when changes of the EXR go...

This paper deals with the impact of the $/€ exchange rate on German exports in the period from 1995Q1 to 2008Q4. Our main aim is to identify "pain thresholds" for German exporters. We rely on a non-linear model according to which suddenly strong spurts of exports occur when changes of the EXR...

In recent years, Germany has significantly increased its share of electricity produced from renewable sources, which is mainly due to the Renewable Energy Act (EEG). The EEG substantially impacts the dynamics of intra-day electricity prices by increasing the likelihood of negative prices. In...

In this article, the Universal Approximation Theorem of Artificial Neural Networks (ANNs) is applied to the SABR stochastic volatility model in order to construct highly efficient representations. Initially, the SABR approximation of Hagan et al. [2002] is considered, then a more accurate...

This paper analyses the implementation and calibration of the Heston Stochastic Volatility Model. We first explain how characteristic functions can be used to esti-mate option prices. Then we consider the implementation of the Heston model, showing that relatively simple solutions can lead to...

This paper introduces the Inverse Gamma (IGa) stochastic volatility model with time-dependent parameters, defined by the volatility dynamics dVt = κt.(θt − Vt).dt λt.Vt.dBt. This non-affine model is much more realistic than classical affine models like the Heston stochastic volatility...

This paper analyses the implementation and calibration of the Heston Stochastic Volatility Model. We first explain how characteristic functions can be used to estimate option prices. Then we consider the implementation of the Heston model, showing that relatively simple solutions can lead to...