In this paper, we compare the mean-variance portfolio modeling based on the possibilistic representation of the future stock returns to the one based on the classical probabilistic modelisation of the same returns. There exist several different denitions of possibilistic mean, possibilistic variance and possibilistic covariance. In this paper we consider denitions recently proposed in literature for modeling portfolio selection problems: the possibilistic mean and variance à la Carlsson-Fuller-Majlender, the lower possibilistic mean and variance, and the upper possibilistic mean and variance. In particular, we mean to answer to the following research questions: First, to check whether, from a methodological and theoretical standpoint, it is possible to detect elements of superiority of one of the two approaches with respect to the other one; Then, to check whether, from an operational point of view, one of the two approaches is more eective than the other one in terms of virtual-future performances. We disclosed that, on the basis of the results we obtained, the winner is the probabilistic approach.
Marco Corazza (Corresponding)
|Titolo:||Possibilistic mean-variance portfolios vs. probabilistic ones: The winner is...|
|Data di pubblicazione:||2019|
|Appare nelle tipologie:||2.1 Articolo su rivista |
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