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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Cent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R ChinaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China
Liu, Jingzhen
Yiu, Ka-Fai Cedric
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Hong Kong Polytechn Univ, Hunghom, Dept Appl Math, Hong Kong, Peoples R ChinaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China
Yiu, Ka-Fai Cedric
Li, Xun
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Hong Kong Polytechn Univ, Hunghom, Dept Appl Math, Hong Kong, Peoples R ChinaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China
Li, Xun
Siu, Tak Kuen
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Macquarie Univ, Macquarie Business Sch, Dept Actuarial Studies & Business Analyt, Sydney, NSW 2109, AustraliaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China
Siu, Tak Kuen
Teo, Kok Lay
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Sunway Univ, Sch Math Sci, Danul Ehsan, Selangor, MalaysiaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China
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Nanyang Technol Univ, Fac Sci, Singapore, SingaporeHong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
Fu, Chenpeng
Lari-Lavassani, Ali
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Univ Calgary, Dept Math & Stat, Math & Computat Finance Lab, Calgary, AB T2N 1N4, CanadaHong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
Lari-Lavassani, Ali
Li, Xun
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Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
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Nankai Univ, Coll Artificial Intelligence, Tianjin 300350, Peoples R ChinaNankai Univ, Coll Artificial Intelligence, Tianjin 300350, Peoples R China
Ni, Yuan-Hua
Li, Xun
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Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R ChinaNankai Univ, Coll Artificial Intelligence, Tianjin 300350, Peoples R China
Li, Xun
Zhang, Ji-Feng
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Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R ChinaNankai Univ, Coll Artificial Intelligence, Tianjin 300350, Peoples R China
Zhang, Ji-Feng
Krstic, Miroslav
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Univ Calif San Diego, Dept Mech & Aerosp Engn, San Diego, CA 92093 USANankai Univ, Coll Artificial Intelligence, Tianjin 300350, Peoples R China