This paper presents a new method to enhance simulation-based analysis of complex investments that contain multi-variable uncertainty. The method is called “simulation decomposition”. Typically the result of simulation-based investment analysis is in the form of histogram distributions - here we propose a method for first classifying the possible outcomes of…

Many of the investments decisions facing with uncertainty can be characterized as real options problems. There is evidence of deviation from the predictions derived using such normative models. The proposed research sheds light on the importance of integrating normative models with experimental methods in order to predict and explain such…