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.
2016
Theory and Applications in Mathematical Physics: Conference in Honor of 70th B. Tirozzi's Birthday
978-981-4713-27-6
9814713279
portfolio selection; statistical mechanics; portfolio optimization
02 Pubblicazione su volume::02a Capitolo o Articolo
Portfolio optimization: a mean field theory approach / Rotundo, Giulia; Tirozzi, Benedetto (Brunello). - STAMPA. - (2016), pp. 119-130.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/904638
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