Risk minimization for an insurer with investment and reinsurance via g-expectation. Issue 20 (18th October 2019)
- Record Type:
- Journal Article
- Title:
- Risk minimization for an insurer with investment and reinsurance via g-expectation. Issue 20 (18th October 2019)
- Main Title:
- Risk minimization for an insurer with investment and reinsurance via g-expectation
- Authors:
- Chen, Fenge
Peng, Xingchun
Wang, Wenyuan - Abstract:
- Abstract: This paper is devoted to the study of a risk-based optimal investment and proportional reinsurance problem. The surplus process of the insurer and the risky asset process in the financial market are assumed to be general jump-diffusion processes. We use a convex risk measure generated by g -expectation to describe the risk of the terminal wealth with investment and reinsurance. Under the aim of minimizing the risk, the problem is solved by using techniques of stochastic maximum principles. Two interesting special cases are studied and the explicit expressions for optimal strategies and corresponding minimal risks are derived.
- Is Part Of:
- Communications in statistics. Volume 48:Issue 20(2019)
- Journal:
- Communications in statistics
- Issue:
- Volume 48:Issue 20(2019)
- Issue Display:
- Volume 48, Issue 20 (2019)
- Year:
- 2019
- Volume:
- 48
- Issue:
- 20
- Issue Sort Value:
- 2019-0048-0020-0000
- Page Start:
- 5012
- Page End:
- 5035
- Publication Date:
- 2019-10-18
- Subjects:
- Investment -- reinsurance -- g-expectation -- stochastic maximum principles -- Malliavin calculus
97M30 -- 91G80 -- 93E20 -- 60H30
Mathematical statistics -- Periodicals
Mathematics
Statistics
519.2 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03610926.2018.1504077 ↗
- Languages:
- English
- ISSNs:
- 0361-0926
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.432000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11536.xml