This monograph consists of two parts. One part is portfolio selection theory and the other part is capital asset pricing theory. For each part, a comprehensive review of the original theory, efforts to improve the theory afterwards and future works to be done are presented. Some innovative models and empirical research works are given in subsequent chapters following the review. For example, a model for portfolio selection with order of expected returns is presented in Chapter 2, the model addresses the inaccuracy in the estimation the expected returns of securities by putting the expected...

Most of the existing portfolio selection models are based on the probability theory. Though they often deal with the uncertainty via probabilistic - proaches, we have to mention that the probabilistic approaches only partly capture the reality. Some other techniques have also been applied to handle the uncertainty of the ?nancial markets, for instance, the fuzzy set theory Zadeh (1965)]. In reality, many events with fuzziness are characterized by probabilistic approaches, although they are not random events. The fuzzy set theory has been widely used to solve many practical problems,...

This book integrates recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing. The aim is to create some innovative methodologies for credit risk analysis.