Approximating exact expected utility via portfolio efficient frontiers
Alessandra Carleo (),
Francesco Cesarone (),
Andrea Gheno () and
Jacopo Maria Ricci ()
Additional contact information
Alessandra Carleo: University of Roma Tre
Francesco Cesarone: University of Roma Tre
Andrea Gheno: University of Roma Tre
Jacopo Maria Ricci: University of Roma Tre
Decisions in Economics and Finance, 2017, vol. 40, issue 1, No 7, 115-143
Abstract:
Abstract Expected utility theory is nowadays accepted as the standard for rational choice among risky assets. However, as Harry Markowitz recently pointed out, the problem of how the maximum expected utility along the risk–return portfolio efficient frontiers approximates the exact maximum expected utility is still open. This paper shows that some popular risk–return models are actually able to approximate expected utility maximization with respect to classical and new distance measures. It also analyzes the ability of the whole risk–return efficient frontiers to approximate the exact one. Our empirical analysis is based on recent publicly available real-world data sets.
Keywords: Portfolio optimization; Expected utility; Multiobjective optimization; Asset management (search for similar items in EconPapers)
JEL-codes: C61 D81 G11 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://link.springer.com/10.1007/s10203-017-0201-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:decfin:v:40:y:2017:i:1:d:10.1007_s10203-017-0201-0
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10203/PS2
DOI: 10.1007/s10203-017-0201-0
Access Statistics for this article
Decisions in Economics and Finance is currently edited by Paolo Ghirardato
More articles in Decisions in Economics and Finance from Springer, Associazione per la Matematica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().