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On the Density and Moments of the Time of Ruin with Exponential Claims

Published online by Cambridge University Press:  17 April 2015

Steve Drekic
Affiliation:
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada, E-mail: [email protected], [email protected]
Gordon E. Willmot
Affiliation:
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada, E-mail: [email protected], [email protected]
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Abstract

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The probability density function of the time of ruin in the classical model with exponential claim sizes is obtained directly by inversion of the associated Laplace transform. This result is then used to obtain explicit closed-form expressions for the moments. The form of the density is examined for various parameter choices.

Type
Research Article
Copyright
Copyright © ASTIN Bulletin 2003

References

Abramowitz, M. and Stegun, I. (1972) Handbook of Mathematical Functions: With Formulas, Graphs, and Mathematical Tables. National Bureau of Standards, Washington.Google Scholar
Asmussen, S. (2000) Ruin Probabilities. World Scientific, Singapore.CrossRefGoogle Scholar
Gradshteyn, I. and Ryzhik, I. (1994) Table of Integrals, Series, and Products (Fifth Edition). Academic Press, San Diego.Google Scholar
Lin, X. and Willmot, G. (2000) “The moments of the time of ruin, the surplus before ruin, and the deficit at ruin”, Insurance: Mathematics and Economics, 27, 1944.Google Scholar
Schiff, J. (1999) The Laplace Transform: Theory and Applications. Springer-Verlag, New York.CrossRefGoogle Scholar
Seal, H. (1978) Survival Probabilities. John Wiley & Sons, New York.Google Scholar
Stuart, A. and Ord, J. (1994) Kendall’s Advanced Theory of Statistics, Volume 1: Distribution Theory. John Wiley & Sons, New York.Google Scholar
Wang, R. and Liu, H. (2002) “On the ruin probability under a class of risk processes”, ASTIN Bulletin, 32, 8190.Google Scholar
Willmot, G. and Lin, X. (2001) Lundberg Approximations for Compound Distributions with Insurance Applications. Springer-Verlag, New York.CrossRefGoogle Scholar
Wolfram, S. (1999) The Mathematica Book (Fourth Edition). Cambridge University Press, New York.Google Scholar