This paper examines the problem of portfolio selection by the point of view of big investors that deal with a large amount N of shares and derivatives. This implies that deterministic numerical models for the portfolio optimization are unecient because their complexity grows quickly as N increases. Thus, this paper examines a statistical me- chanics approach to portfolio selection with constraints on the budget consumption and about the risk management and gives the conditions for optimal portfolio selection.
Portfolio optimization: a mean field theory approach / Rotundo, Giulia; Tirozzi, Benedetto (Brunello). - STAMPA. - (2016), pp. 119-130.
Portfolio optimization: a mean field theory approach
Rotundo, Giulia
Primo
Investigation
;
2016
Abstract
This paper examines the problem of portfolio selection by the point of view of big investors that deal with a large amount N of shares and derivatives. This implies that deterministic numerical models for the portfolio optimization are unecient because their complexity grows quickly as N increases. Thus, this paper examines a statistical me- chanics approach to portfolio selection with constraints on the budget consumption and about the risk management and gives the conditions for optimal portfolio selection.File | Dimensione | Formato | |
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