Self-similar processes in collective risk theory. (1998)
- Record Type:
- Journal Article
- Title:
- Self-similar processes in collective risk theory. (1998)
- Main Title:
- Self-similar processes in collective risk theory
- Authors:
- Michna, Zbigniew
- Abstract:
- Abstract : Collective risk theory is concerned with random fluctuations of the total assets and the risk reserve of an insurance company. In this paper we consider self-similar, continuous processes with stationary increments for the renewal model in risk theory. We construct a risk model which shows a mechanism of long range dependence of claims. We approximate the risk process by a self similar process with drift. The ruin probability within finite time is estimated for fractional Brownian motion with drift. A similar model is applicable in queueing systems, describing long range dependence in on/off processes and associated fluid models. The obtained results are useful in communication network models, as well as storage and inventory models.
- Is Part Of:
- Journal of applied mathematics and stochastic analysis. Volume 11:Number 4(1998)
- Journal:
- Journal of applied mathematics and stochastic analysis
- Issue:
- Volume 11:Number 4(1998)
- Issue Display:
- Volume 11, Issue 4 (1998)
- Year:
- 1998
- Volume:
- 11
- Issue:
- 4
- Issue Sort Value:
- 1998-0011-0004-0000
- Page Start:
- 429
- Page End:
- 448
- Publication Date:
- 1998
- Subjects:
- risk process -- long range dependence -- ruin probability -- self-similar process -- fractional Brownian motion -- exponential bound
Mathematical models -- Periodicals
Computer simulation -- Periodicals
Computer science -- Mathematics -- Periodicals
Computer science -- Mathematics
Computer simulation
Mathematical models
Applied Mathematics
Periodicals
Electronic journals
519.22 - Journal URLs:
- http://www.hindawi.com/journals/ijsa/ ↗
- DOI:
- 10.1155/S1048953398000367 ↗
- Languages:
- English
- ISSNs:
- 1048-9533
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 15811.xml