Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96566
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Mathematics | - |
| dc.creator | Liu, W | en_US |
| dc.creator | Sun, Y | en_US |
| dc.creator | Chen, X | en_US |
| dc.date.accessioned | 2022-12-07T02:55:27Z | - |
| dc.date.available | 2022-12-07T02:55:27Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/96566 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Walter de Gruyter GmbH | en_US |
| dc.rights | © 2022 Wei Liu et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). | en_US |
| dc.rights | The following publication Liu, W., Sun, Y., & Chen, X. (2022). Mean-field formulation for mean-variance asset-liability management with cash flow under an uncertain exit time. Open Mathematics, 20(1), 24-37 is available at https://doi.org/10.1515/math-2022-0007. | en_US |
| dc.subject | Closed-form expressions | en_US |
| dc.subject | Mean-field formulation | en_US |
| dc.subject | Optimal strategy | en_US |
| dc.title | Mean-field formulation for mean-variance asset-liability management with cash flow under an uncertain exit time | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 24 | en_US |
| dc.identifier.epage | 37 | en_US |
| dc.identifier.volume | 20 | en_US |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.doi | 10.1515/math-2022-0007 | en_US |
| dcterms.abstract | The asset-liability management problem with cash flow under an uncertain exit time has been investigated in this article, which is based on the fundamental framework of the mean-variance model in the multi-period version. The liability and random cash flow will affect asset optimization, while the investor may be forced to withdraw from investments with a random probability at each period in our model. The closed-form expressions for the mean-variance optimal portfolio selection and its corresponding efficient frontier are obtained by employing the mean-field formulation and dynamic programming approach. Moreover, some numerical examples are provided to illustrate the validity and accuracy of the theoretical results. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Open mathematics, Jan. 2022, v. 20, no. 1, p. 24-37 | en_US |
| dcterms.isPartOf | Open mathematics | en_US |
| dcterms.issued | 2022-01 | - |
| dc.identifier.scopus | 2-s2.0-85125739615 | - |
| dc.identifier.eissn | 2391-5455 | en_US |
| dc.description.validate | 202212 bckw | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | - |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 10.1515_math-2022-0007.pdf | 2.63 MB | Adobe PDF | View/Open |
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