@article{890075,
      author = {Levy, Haim,},
      url = {http://library.usi.edu/record/890075},
      title = {Stochastic dominance : investment decision making under  uncertainty /},
      abstract = {This updated 3rd edition is devoted to the analysis of  various Stochastic Dominance (SD) decision rules. It  discusses the pros and cons of each of the alternate SD  rules, the application of these rules to various research  areas like statistics, agriculture, medicine, measuring  income inequality and the poverty level in various  countries, and of course, to investment decision-making  under uncertainty. The book features changes and additions  to the chapters, and also includes two completely new  chapters. One deals with asymptotic SD and the relation  between FSD and the maximum geometric mean (MGM) rule (or  the maximum growth portfolio). The other new chapter  discusses bivariate SD rules where the individualℓ́ℓs  utility is determined not only by his own wealth, but also  by his standing relative to his peer group. The book covers  the following basic issues: the SD approach, asymptotic SD  rules, the mean-variance (MV) approach, as well as the  non-expected utility approach. The non-expected utility  approach focuses on Regret Theory (RT) and mainly on  prospect theory (PT) and its modified version, cumulative  prospect theory (CPT) which assumes S-shape preferences. In  addition to these issues the book suggests a new stochastic  dominance rule called the Markowitz stochastic dominance  (MSD) rule corresponding to all reverse-S-shape  preferences. It also discusses the concept of the  multivariate expected utility and analyzed in more detail  the bivariate expected utility case.},
      doi = {https://doi.org/10.1007/978-3-319-21708-6},
      recid = {890075},
      pages = {1 online resource},
}