-time real option modelling framework. We analytically determine optimal intertemporal climate policies under ambiguity …

as ambiguity, and we compute a number of explicit optimal portfolio rules using elementary mathematical tools. In the … case of a single period financial market, new results arise for an agent who is risk neutral and smoothly ambiguity averse …, for a loss averse and smoothly ambiguity averse agent, for a Mean-Variance and alpha-Maxmin Expected Utility agent. In a …

strongly rectangular set of priors. We develop a strategy and equilibrium concept allowing for ambiguity and show that … motion and kappa-ambiguity does not equate to “lowest trend”. …

This paper analyzes the impact of risk and ambiguity aversion - Knightian uncertainty - on the choice of optimal …-Nash game for quality choice. When the follower provides a higher-quality good, the level of quality is decreasing in ambiguity … an efficient response. Up to certain threshold level of risk, risk and ambiguity aversion reduce the optimal quality …

Ambiguity aversion in dynamic models is motivated by the presence of unknown time-varying features, which agents do not … ambiguity. We show that in such contexts robust estimation methods are essential for (i) limiting the sensitivity of robust … robust estimation methodology, applicable to many economic settings of ambiguity. In the robust portfolio problem, unknown …

-time real option modelling framework. We analytically determine optimal intertemporal climate policies under ambiguity …

strongly rectangular set of priors. We develop a strategy and equilibrium concept allowing for ambiguity and show that … motion and kappa-ambiguity does not equate to "lowest trend". …