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Article: Optimal asset allocation: Risk and information uncertainty
Title | Optimal asset allocation: Risk and information uncertainty |
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Authors | |
Keywords | Asset allocation Mean-variance approach Relative entropy Uncertainty measure Uncertainty modelling |
Issue Date | 2016 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ejor |
Citation | European Journal of Operational Research, 2016, v. 251 n. 2, p. 554-561 How to Cite? |
Abstract | In asset allocation problem, the distribution of the assets is usually assumed to be known in order to identify the optimal portfolio. In practice, we need to estimate their distribution. The estimations are not necessarily accurate and it is known as the uncertainty problem. Many researches show that most people are uncertainty aversion and this affects their investment strategy. In this article, we consider risk and information uncertainty under a common asset allocation framework. The effects of risk premium and covariance uncertainty are demonstrated by the worst scenario in a set of measures generated by a relative entropy constraint. The nature of the uncertainty and its impacts on the asset allocation are discussed. |
Persistent Identifier | http://hdl.handle.net/10722/231318 |
ISSN | 2023 Impact Factor: 6.0 2023 SCImago Journal Rankings: 2.321 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yam, SCP | - |
dc.contributor.author | Yang, H | - |
dc.contributor.author | Yuen, FL | - |
dc.date.accessioned | 2016-09-20T05:22:17Z | - |
dc.date.available | 2016-09-20T05:22:17Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | European Journal of Operational Research, 2016, v. 251 n. 2, p. 554-561 | - |
dc.identifier.issn | 0377-2217 | - |
dc.identifier.uri | http://hdl.handle.net/10722/231318 | - |
dc.description.abstract | In asset allocation problem, the distribution of the assets is usually assumed to be known in order to identify the optimal portfolio. In practice, we need to estimate their distribution. The estimations are not necessarily accurate and it is known as the uncertainty problem. Many researches show that most people are uncertainty aversion and this affects their investment strategy. In this article, we consider risk and information uncertainty under a common asset allocation framework. The effects of risk premium and covariance uncertainty are demonstrated by the worst scenario in a set of measures generated by a relative entropy constraint. The nature of the uncertainty and its impacts on the asset allocation are discussed. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ejor | - |
dc.relation.ispartof | European Journal of Operational Research | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Asset allocation | - |
dc.subject | Mean-variance approach | - |
dc.subject | Relative entropy | - |
dc.subject | Uncertainty measure | - |
dc.subject | Uncertainty modelling | - |
dc.title | Optimal asset allocation: Risk and information uncertainty | - |
dc.type | Article | - |
dc.identifier.email | Yang, H: hlyang@hku.hk | - |
dc.identifier.authority | Yang, H=rp00826 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.ejor.2015.11.011 | - |
dc.identifier.scopus | eid_2-s2.0-84960455835 | - |
dc.identifier.hkuros | 263487 | - |
dc.identifier.volume | 251 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 554 | - |
dc.identifier.epage | 561 | - |
dc.identifier.isi | WOS:000378100800017 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 0377-2217 | - |