Projects per year
Abstract
The paper considers very general multivariate modifications of Cramer–
Lundberg risk model. The claims can be of different types and can
arrive in groups. The groups arrival processes have constant intensities.
The counting groups processes are dependent multivariate compound
Poisson processes of Type I. We allow empty groups and show that
in that case we can find stochastically equivalent Cramer–Lundberg
model with non-empty groups. The investigated model generalizes the
risk model with common shocks, the Poisson risk process of order k, the
Poisson negative binomial, the Polya-Aeppli, the Polya-Aeppli of order k
amongothers.All of them with one or more types of policies. The numerical
characteristics, Cramer–Lundberg approximations, and probabilities
of ruin are derived. During the paper, we show that the theory of these
risk models intrinsically relates to the special types of integro differential equations. The probability solutions to such differential equations provide new insights, typically overseen from the standard point of view.
Original language | English |
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Number of pages | 25 |
Journal | Stochastic Analysis and Applications |
DOIs | |
Publication status | Published - 2018 |
Fields of science
- 101007 Financial mathematics
- 101018 Statistics
- 101024 Probability theory
- 101029 Mathematical statistics
- 509 Other Social Sciences
JKU Focus areas
- Computation in Informatics and Mathematics
- Social and Economic Sciences (in general)
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Statistical Inference in Complex Situations
Hermann, P. (Researcher) & Futschik, A. (PI)
01.12.2014 → 31.12.2025
Project: Other › Project from scientific scope of research unit
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Applications of Statistical Methods
Bitto-Nemling, A. (Researcher), Futschik, A. (Researcher), Hainy, M. (Researcher), Müller, W. (Researcher), Quatember, A. (Researcher), Tubikanec, I. (Researcher), Wagner, H. (Researcher), Waldl, H. (Researcher) & Duller, C. (PI)
01.01.2012 → 31.12.2032
Project: Other › Project from scientific scope of research unit
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Modec (LIT) - Modeling complex dependencies: how to make strategic multicriterial decisions
Kiselak, J. (Researcher) & Stehlik, M. (PI)
01.03.2017 → 31.07.2019
Project: Funded research › Federal / regional / local authorities