Portfolio optimization using a new probabilistic risk measure

In this paper, we introduce a new portfolio selection method. Our method is innovative and flexible. An explicit solution is obtained, and the selection method allows for investors with dierent degree of risk aversion. The portfolio selection problem is formulated as a bi-criteria optimization probl...

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Bibliographic Details
Main Authors: Sun, Y., Aw, Ee-Ling Grace, Teo, Kok Lay, Zhou, Guanglu
Format: Journal Article
Published: American Institute of Mathematical Sciences 2015
Online Access:http://hdl.handle.net/20.500.11937/12065
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author Sun, Y.
Aw, Ee-Ling Grace
Teo, Kok Lay
Teo, Kok Lay
Zhou, Guanglu
author_facet Sun, Y.
Aw, Ee-Ling Grace
Teo, Kok Lay
Teo, Kok Lay
Zhou, Guanglu
author_sort Sun, Y.
building Curtin Institutional Repository
collection Online Access
description In this paper, we introduce a new portfolio selection method. Our method is innovative and flexible. An explicit solution is obtained, and the selection method allows for investors with dierent degree of risk aversion. The portfolio selection problem is formulated as a bi-criteria optimization problem which maximizes the expected portfolio return and minimizes the maximum individual risk of the assets in the portfolio. The ecient frontier using our method is compared with various ecient frontiers in the literature and found to be superior to others in the mean-variance space.
first_indexed 2025-11-14T06:57:40Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:57:40Z
publishDate 2015
publisher American Institute of Mathematical Sciences
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-120652017-09-13T16:03:15Z Portfolio optimization using a new probabilistic risk measure Sun, Y. Aw, Ee-Ling Grace Teo, Kok Lay Teo, Kok Lay Zhou, Guanglu In this paper, we introduce a new portfolio selection method. Our method is innovative and flexible. An explicit solution is obtained, and the selection method allows for investors with dierent degree of risk aversion. The portfolio selection problem is formulated as a bi-criteria optimization problem which maximizes the expected portfolio return and minimizes the maximum individual risk of the assets in the portfolio. The ecient frontier using our method is compared with various ecient frontiers in the literature and found to be superior to others in the mean-variance space. 2015 Journal Article http://hdl.handle.net/20.500.11937/12065 10.3934/jimo.2015.11.1275 American Institute of Mathematical Sciences unknown
spellingShingle Sun, Y.
Aw, Ee-Ling Grace
Teo, Kok Lay
Teo, Kok Lay
Zhou, Guanglu
Portfolio optimization using a new probabilistic risk measure
title Portfolio optimization using a new probabilistic risk measure
title_full Portfolio optimization using a new probabilistic risk measure
title_fullStr Portfolio optimization using a new probabilistic risk measure
title_full_unstemmed Portfolio optimization using a new probabilistic risk measure
title_short Portfolio optimization using a new probabilistic risk measure
title_sort portfolio optimization using a new probabilistic risk measure
url http://hdl.handle.net/20.500.11937/12065