When one prospect is certain and the other uncertain, Cumulative Prospect Theory employs the certainty equivalent methodology to estimate Decision Weights (DW). However, DW may be different with two uncertain prospects. In this study, we neutralize the "certainty effect" and propose Stochastic...

The use of the CAPM in empirical research is subject to some criticism. In light of this criticism the Stochastic Dominance criteria are offered as an alternative research method for the examination of market efficiency. The underlying assumptions of the two frameworks are discussed and the...

While Stochastic Dominance has been employed in various forms as early as 1932, it has only been since 1969--1970 that the notion has been developed and extensively employed in the area of economics, finance, agriculture, statistics, marketing and operations research. In this survey, the first-,...

Assuming that assets are traded in discrete time and that risk averse investors differ in their holding periods, we investigate the conditions under which the CAPM holds. It is shown that when portfolio rebalancing is allowed the CAPM holds in four cases not rigorously analyzed previously. These...

Mixing the risky asset with the riskless asset. Levy and Kroll have developed stochastic dominance rules with borrowing and lending (SDR). These rules can be easily applied to discrete distributions (e.g., ex-post data). However, an infinite number of comparisons is involved when the...

Expected returns, variances, betas, and alphas are all non-linear functions of the investment horizon. This seems to be a fatal conceptual problem for the capital asset pricing model (CAPM), which assumes a unique common horizon for all investors. We show that under the standard assumptions, the...

While "most" decision makers may prefer one uncertain prospect over another, stochastic dominance rules as well as other investment criteria, will not reveal this preference due to some extreme utility functions in the case of even a very small violation of these rules. Such strict rules relate...