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Cited by 426

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

PORTFOLIO SELECTION WITH MONOTONE MEAN‐VARIANCE PREFERENCES

Open access
Maccheroni, Fabio, Marinacci, Massimo, Rustichini, Aldo, Taboga, Marco·2009·Mathematical Finance

Abstract

We propose a portfolio selection model based on a class of monotone preferences that coincide with mean‐variance preferences on their domain of monotonicity, but differ where mean‐variance preferences fail to be monotone and are therefore not economically meaningful. The functional associated with this new class of preferences is the best approximation of the mean‐variance functional among those which are monotonic. We solve the portfolio selection problem and we derive a monotone version of the capital asset pricing model (CAPM), which has two main features: (i) it is, unlike the standard CAPM model, arbitrage free, (ii) it has empirically testable CAPM‐like relations. The monotone CAPM has thus a sounder theoretical foundation than the standard CAPM and a comparable empirical tractability.

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Crossref · 10.1111/j.1467-9965.2009.00376.x

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Metadata

Authors
Maccheroni, F., Marinacci, M., Rustichini, A., & Taboga, M.
Venue
Mathematical Finance
Publisher
Wiley
Published
2009-06-26
Volume
19
Issue
3
Pages
487-521
ISSN
  • 0960-1627 (ISSN-L)
  • 1467-9965
OpenAlex
W2240115526
Cited by
426
References
87
FWCI
102.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: PORTFOLIO SELECTION WITH MONOTONE MEAN‐VARIANCE PREFERENCES. https://app.cochat.ai/papers/10.1111/j.1467-9965.2009.00376.x
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Maccheroni, F., Marinacci, M., Rustichini, A., & Taboga, M. (2009). PORTFOLIO SELECTION WITH MONOTONE MEAN‐VARIANCE PREFERENCES. Mathematical Finance. https://doi.org/10.1111/j.1467-9965.2009.00376.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.