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The strategic asset allocation optimization model of sovereign wealth funds based on maximum CRRA utility & minimum VAR
Author(s) -
Jing Yu,
Bin Xu,
Haizhen Yang,
Yong Shi
Publication year - 2010
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2010.04.274
Subject(s) - computer science , asset allocation , asset (computer security) , sovereign wealth fund , pareto optimal , multi objective optimization , value at risk , mathematical optimization , finance , economics , microeconomics , risk management , mathematics , portfolio , computer security , machine learning , incentive
This paper presents a new optimum model to reflect the strategic assets allocation of SWFs. According to the risk value of assets of SWFs, it can be classified into four kinds of assets listed as high risk asset, middle risk asset, low risk asset and risk free asset. Thus the optimization model will be developed to decide the corresponding weight number of above four classified assets including maximum CRRA utility and minimum VAR objectives subject to some subjective and objective conditions. In the last, a numerical simulation will be drawn to achieve the Pareto solutions to illustrate the application of developed model by using NSGA-II

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