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- Publisher Website: 10.1016/j.cam.2019.112413
- Scopus: eid_2-s2.0-85070970833
- WOS: WOS:000491619200009
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Article: A BSDE approach to a class of dependent risk model of mean-variance insurers with stochastic volatility and no-short selling
Title | A BSDE approach to a class of dependent risk model of mean-variance insurers with stochastic volatility and no-short selling |
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Authors | |
Keywords | Backward stochastic differential equation Dependent risks Efficient frontier Mean–variance criterion Stochastic volatility |
Issue Date | 2020 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/cam |
Citation | Journal of Computational and Applied Mathematics, 2020, v. 366, p. article no. 112413 How to Cite? |
Abstract | This paper studies the optimal reinsurance and investment strategy for an insurer with two dependent classes of insurance business, where the claim number processes are correlated through a common shock. It is assumed that the insurer also faces the decision making of investing in a financial market with one risk-free asset and one risky asset following the Heston stochastic volatility (SV) model. The insurer is not allowed to short sell the risky asset. Under the mean–variance criterion, we consider the insurer's problem of maximizing the expected terminal wealth and, at the same time, minimizing the variance of the terminal wealth. Using the results of stochastic linear–quadratic (LQ) optimal control and backward stochastic differential equations (BSDEs), we derive closed-form expressions for the optimal strategies and the efficient frontiers in terms of solutions to the BSDEs. Our approach shows how BSDEs can be used to solve mean–variance problems in insurance applications. Finally, economic behavior of the efficient frontiers is analyzed by using some numerical examples. © 2019 Elsevier B.V. |
Persistent Identifier | http://hdl.handle.net/10722/274432 |
ISSN | 2023 Impact Factor: 2.1 2023 SCImago Journal Rankings: 0.858 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Sun, Z | - |
dc.contributor.author | Yuen, KC | - |
dc.contributor.author | Guo, J | - |
dc.date.accessioned | 2019-08-18T15:01:36Z | - |
dc.date.available | 2019-08-18T15:01:36Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Journal of Computational and Applied Mathematics, 2020, v. 366, p. article no. 112413 | - |
dc.identifier.issn | 0377-0427 | - |
dc.identifier.uri | http://hdl.handle.net/10722/274432 | - |
dc.description.abstract | This paper studies the optimal reinsurance and investment strategy for an insurer with two dependent classes of insurance business, where the claim number processes are correlated through a common shock. It is assumed that the insurer also faces the decision making of investing in a financial market with one risk-free asset and one risky asset following the Heston stochastic volatility (SV) model. The insurer is not allowed to short sell the risky asset. Under the mean–variance criterion, we consider the insurer's problem of maximizing the expected terminal wealth and, at the same time, minimizing the variance of the terminal wealth. Using the results of stochastic linear–quadratic (LQ) optimal control and backward stochastic differential equations (BSDEs), we derive closed-form expressions for the optimal strategies and the efficient frontiers in terms of solutions to the BSDEs. Our approach shows how BSDEs can be used to solve mean–variance problems in insurance applications. Finally, economic behavior of the efficient frontiers is analyzed by using some numerical examples. © 2019 Elsevier B.V. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/cam | - |
dc.relation.ispartof | Journal of Computational and Applied Mathematics | - |
dc.subject | Backward stochastic differential equation | - |
dc.subject | Dependent risks | - |
dc.subject | Efficient frontier | - |
dc.subject | Mean–variance criterion | - |
dc.subject | Stochastic volatility | - |
dc.title | A BSDE approach to a class of dependent risk model of mean-variance insurers with stochastic volatility and no-short selling | - |
dc.type | Article | - |
dc.identifier.email | Yuen, KC: kcyuen@hku.hk | - |
dc.identifier.authority | Yuen, KC=rp00836 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.cam.2019.112413 | - |
dc.identifier.scopus | eid_2-s2.0-85070970833 | - |
dc.identifier.hkuros | 302340 | - |
dc.identifier.volume | 366 | - |
dc.identifier.spage | article no. 112413 | - |
dc.identifier.epage | article no. 112413 | - |
dc.identifier.isi | WOS:000491619200009 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 0377-0427 | - |