robust model for small amounts of uncertainty and analyze the effect of robustness on optimal trading strategies and … liquidation costs. In particular, in our model ambiguity aversion is observationally equivalent to increased risk aversion. This …

). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty … theory and chance theory. Chapter 2 presents a comprehensive review and discussion of basic DEA models. The stochastic DEA is … uncertain DEA. In order to evaluate the DMUs in which uncertainty and randomness appear simultaneously, the hybrid DEA based on …

and analytical tools. Uncertainty can dominate, as in the climate change debates. Increasing the resolution of models does … not always yield sufficient certainty. This book presents much-needed new tools for modeling and management of uncertainty. … concepts and analytical tools. The uncertainty critically dominantes, e.g., the climate change debates. In short, the dilemma …

Concept of -Cherry Junction Tree -- Robust Solutions under Uncertainty -- Induced Discounting and Risk Management -- Cost …General Remarks on Robust Solutions -- Modeling of Uncertainty and Probabilistic Issues -- On Joint Modelling of Random … Uncertainty and Fuzzy Imprecision -- On the Approximation of a Discrete Multivariate Probability Distribution Using the New …

We develop a model of pandemic risk management and firm valuation. We introduce aggregate transmission shocks into an …

We develop a measure of static misallocation that separates uncertainty from misallocation generated by tax …-like distortions. In the Finnish firm-level data, uncertainty accounts for the majority of ex post misallocation and explains a strong … implies idiosyncratic distortions, in line with our accounting approach. According to our quantitative results, uncertainty …