We experimentally study behavior in bargaining situations under large risks. To implement realistic risks involved in the field, we calibrate the experimental parameters from an environment involving substantial variation in profits, the motion picture industry. The leading example is the...

In this article, Michael Mahlknecht and Konstantin Oppl present an innovative graphical analysis method, which enables to achieve a visualization of hidden risks in complex structured products, to perform real-time graphical dynamic hedging, to graphically calibrate volatility and correlation...

In this paper an efficient calibration method for the multi-factor LIBOR Market Model (LMM) is proposed and is applied for the Japanese interest rate market. At first the joint calibration method in the cap and swaption market is demonstrated using a new parameterization for the correlation...

Operational groundwater prediction models vary in complexity, but most of them have parameters for which values must be estimated. In the present study, the proposed regional groundwater prediction model was based on a nonlinear water balance model, which is very easy to be used once its...

The reservoir optimal operation depends on not only specific characteristics of reservoirs and hydropower stations but also stochastic inflows. The key issue of actual hydropower operation is to make an approximate optimal decision triggered by limited inflow forecasts. To implement actual...

Nitrate-nitrogen (NO3-N) loading from a 734ha coastal watershed draining into the Baltic Sea off south-east Sweden was simulated using a simple modelling approach in which the nitrogen model DRAINMOD-N II and a temperature-dependent NO3-N removal equation were incorporated into the Arc...