uncertainty. By using duality theory, we show that the robust portfolio selection problem via learning with a mixture model can be …

of traditional finance theory. Even after controlling for market segmentation and “investability” of foreign markets … market uncertainty. My empirical hypotheses are based on a psychological theory that relates uncertainty in the markets to … increases in investors' risk aversion which in turn increases investors' proneness to familiarity bias. I hypothesize that …

Choosing the appropriate risk criterion has always been one of the main challenges for financial and economic analysts …

We develop a behavioral theory of real options that relaxes the informational and behavioral assumptions underlying … applications of financial options theory to real assets. To do so, we augment real option theory's focus on uncertain future asset … values (prospective uncertainty) with feedback learning theory that considers uncertain current asset values (contemporaneous …

components used in asset pricing, namely the risk physical and neutral measures and the relative pricing kernel.The analysis is … utility of terminal wealth, we prove the existence of an information premium between what is required by the theory, a … interconnection between the pricing kernel and its densities, the extension to the risk-neutral measure follows naturally …