We integrate a case-based model of probability judgment with prospect theory to explore asset pricing under uncertainty. Research within the "heuristics and biases" tradition suggests that probability judgments respond primarily to case-specific evidence and disregard aggregate characteristics...

Most financial-economic decisions are made consciously, with a clear and constant drive to ???good???, ???better??? or even ???optimal??? decisions. Nevertheless, many decisions in practice do not earn these qualifications, despite the availability of financial economic theory, decision sciences...

For people working in finance, either in academia or in practice or in both, the combination of ?finance? and ?multiple criteria? is not obvious. However, we believe that many of the tools developed in the field of MCDM can contribute both to the quality of the financial economic decision making...

Motivated by an application in a public utility, the credit screening problem is re-examined from a decision theoretic viewpoint. The relationships between several alternative problem formulations are explored, and compared to the classical linear discriminant analysis (LDA) approach. Several...

For people working in finance, either in academia or in practice or in both, the combination of ?finance? and ?multiple criteria? is not obvious. However, we believe that many of the tools developed in the field of MCDM can contribute both to the quality of the financial economic decision making...

Most financial-economic decisions are made consciously, with a clear and constant drive to "good", "better" or even "optimal" decisions. Nevertheless, many decisions in practice do not earn these qualifications, despite the availability of financial economic theory, decision sciences and ample...

Once they have observed information, hindsight-biased agents fail to remember how ignorant they were initially; "they knew it all along." We formulate a theoretical model of this bias, providing a foundation for empirical measures and implying that hindsight-biased agents learning about...

Drawing on recent developments in discrete time fixed income options theory, we propose a stochastic programming procedure, which we call stochastic dedication, for managing asset/liability portfolios with interest rate contingent claims. The model uses scenario generation to combine...

Since the late 1990s, the Brazilian electric power industry has been undergoing significant structural changes, the main objective being to increase competition and attract private investment. Due to this, the National Electric Energy Agency has offered a large number of investment opportunities...