Randomly weighted sums of dependent subexponential random variables with applications to risk theory. Issue 3 (16th March 2018)
- Record Type:
- Journal Article
- Title:
- Randomly weighted sums of dependent subexponential random variables with applications to risk theory. Issue 3 (16th March 2018)
- Main Title:
- Randomly weighted sums of dependent subexponential random variables with applications to risk theory
- Authors:
- Cheng, Fengyang
Cheng, Dongya - Abstract:
- Abstract: For any fixed integer, let be real-valued random variables with a common subexponential distribution, and let be positive random variables which are bounded above and independent of . Under some rather loose conditional dependence assumptions on the primary random variables, this paper proves that the asymptotic relations hold as, where are arbitrarily dependent. In particular, it is shown that the above results hold true for with certain Samarnov distributions. The obtained results on randomly weighted sums are applied to estimating the finite-time ruin probability in a discrete-time risk model with both insurance and financial risks.
- Is Part Of:
- Scandinavian actuarial journal. Volume 2018:Issue 3(2018)
- Journal:
- Scandinavian actuarial journal
- Issue:
- Volume 2018:Issue 3(2018)
- Issue Display:
- Volume 2018, Issue 3 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 3
- Issue Sort Value:
- 2018-2018-0003-0000
- Page Start:
- 191
- Page End:
- 202
- Publication Date:
- 2018-03-16
- Subjects:
- Randomly weighted sums -- conditional dependence -- subexponential distributions -- ruin probabilities -- insurance and financial risks
60F15 -- 62P05
Insurance, Life -- Mathematics -- Periodicals
Insurance -- Mathematics -- Periodicals
368.01 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03461238.2017.1329160 ↗
- Languages:
- English
- ISSNs:
- 0346-1238
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8087.468000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5994.xml