Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-27T22:04:40.236Z Has data issue: false hasContentIssue false

A general risk process and its properties

Published online by Cambridge University Press:  14 July 2016

Thomas H. Scheike*
Affiliation:
University of Copenhagen

Abstract

We construct a risk process, where the law of the next jump time or jump size can depend on the past through earlier jump times and jump sizes. Some distributional properties of this process are established. The compensator is found and some martingale properties are discussed.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1992 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Present address: University of California at Berkeley, Dept. of Statistics, 367 Evans Hall, Berkeley, CA 94720, USA.

References

Asmussen, S. and Petersen, S. (1988) Ruin probabilities expressed in terms of storage processes. Laboratory of Actuarial Mathematics, University of Copenhagen.Google Scholar
Beard, R., Pentikainen, T. and Pesonen, E. (1984) Risk Theory: the Stochastic Basis of Insurance. Chapman and Hall, London.Google Scholar
Björk, T. and Grandell, J. (1988) Exponential inequalities for ruin probabilities in the Cox case. Scand. Actuar. J., 77111.Google Scholar
Gerber, H. (1979) An Introduction to Mathematical Risk Theory. S. S. Huebner Foundation Monograph Series 8, Philadelphia, PA.Google Scholar
Grandell, J. (1991) Aspects of Risk Theory. Springer-Verlag, New York.Google Scholar
Jacobsen, M. (1982) Statistical Analysis of Counting Processes. Springer-Verlag, New York.Google Scholar
Rebolledo, R. (1980) Central limit theorems for local martingales. Z. Wahrscheinlichkeitsth. 51, 269286.Google Scholar
Scheike, T. (1990) En Generel Risiko-Model med asymptotisk Evaluering af Ruinsandsynligheden (in Danish). Master's thesis, Laboratory of Insurance Mathematics, University of Copenhagen.Google Scholar