Presentation 2012-11-08
Statistical Mechanical Informatics for Portfolio Optimization Problem with Correlated Returns and Multi-Constraint Conditions
Takashi SHINZATO,
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Abstract(in English) The present paper is to analyze the portfolio optimization problem under the assumption which each asset may be correlated with one another and the multiple constraint conditions with respect to portfolio position are presented by using the approaches based on statistical mechanical informatics. Particularly, two indicators for risk and dispersion of optimal solution are defined in order to characterize the investment behavior whether is the optimal or not. Moreover using replica analysis and Thouless-Anderson-Palmer equation the typical behaviors of two indicators are assessed. Furthermore the conjecture of Konno and Yamazaki, that the optimal solutions with mean absolute deviation model and with mean variance model have the same behavior, is verified by our proposed methods.
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Keyword(in English) portfolio optimization problem / mean-variance model / multi-factor model / random matrix theory / replica analysis / Thouless-Anderson-Palmer equation
Paper # IBISML2012-80
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Committee IBISML
Conference Date 2012/10/31(1days)
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Registration To Information-Based Induction Sciences and Machine Learning (IBISML)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Statistical Mechanical Informatics for Portfolio Optimization Problem with Correlated Returns and Multi-Constraint Conditions
Sub Title (in English)
Keyword(1) portfolio optimization problem
Keyword(2) mean-variance model
Keyword(3) multi-factor model
Keyword(4) random matrix theory
Keyword(5) replica analysis
Keyword(6) Thouless-Anderson-Palmer equation
1st Author's Name Takashi SHINZATO
1st Author's Affiliation Graduate School of Systems Science and Technology, Akita Prefectural University()
Date 2012-11-08
Paper # IBISML2012-80
Volume (vol) vol.112
Number (no) 279
Page pp.pp.-
#Pages 8
Date of Issue