Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-23T18:08:31.026Z Has data issue: false hasContentIssue false

The Random Walk of a Simple Risk Business

Published online by Cambridge University Press:  29 August 2014

H. L. Seal*
Affiliation:
U.S.A.
Rights & Permissions [Opens in a new window]

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We suppose that a risk business issues a single type of contract under which, in return for a unit “premium”, it will pay a “sum insured” m (m being an integer) on the occurrence of a contingency of probability q ˂ ½. The expected gain on each contract is i—mq and is assumed to be positive. This type of enterprise is conveniently denominated a simple risk business. Two “real life” situations it simulates are those of a group life policy for a uniform amount covering a number of young lives (e.g., university students), and a roulette casino where the stakes are uniform and the bets are limited to the single numbers o to 36.

The risk business is supposed to commence its operations with a “risk reserve” of K units. Each premium is added to this reserve as it is received and all claims by contract holders are paid there-from. We say that the business is “ruined” as soon as the risk reserve becomes zero or negative (though it could be argued that it would be unethical to accept a premium once the risk reserve is less than m — 1). On the other hand, if the reserve reaches an amount M units no further premiums are paid into it until a claim occurs to reduce it below M (de Finetti, 1957). The risk business intends to continue its operations for a long, but finite, period unless ruined in the meantime.

We consider two probabilities: (i) υx, the chance of eventual ruin given that the risk reserve is now x, and (ii) υx, n, the probability that ruin occurs as a result of the nth contract (simultaneous contracts being ranked in a prearranged, e.g., alphabetical, order). Clearly

and we will write I — νxx

Type
Papers presented to the ASTIN Colloquium Lucern
Copyright
Copyright © International Actuarial Association 1966

References

REFERENCES

Anscombe, F. J. (1949) Tables of sequential inspection schemes to control fraction defective. J. R. Statist Soc., A, 112, 180206.Google ScholarPubMed
Bachelier, L. (1912) Calcul des Probabilités. Paris.Google Scholar
Baudez, G. (1947) Le plein dans les compagnies d'assurances. Bull. Trimest. Inst. Actu. Franς. 50–54, 1388.Google Scholar
Bertrand, J. (1889) Calcul des Probabilités. Paris.Google Scholar
Burman, J. P. (1946) Sequential sampling formulae for a binomial population. J. R. Statist. Soc., B, 8, 98103.Google Scholar
Buckingham, R. A. (1957) Numerical Methods. Pitman, London.Google Scholar
Cramér, H. (1941) Deux conférences sur la théorie des probabilités. Skand. Aktuartidskr. 24, 3469.Google Scholar
Czuber, E. (1906) Calcul ties probabilités. Molk, Jules, Ed., Encyclopédie des Sciences Mathématiques, Tome I, Vol. 4, Fasc. 1, Paris.Google Scholar
Feller , W. (1957) An Introduction to Probability Theory and Its Applications. Wiley, New York.Google Scholar
Finetti , B. De (1957) Su un'impostazione alteruativa della teoria collettiva del rischio. Trans. XV Intern. Cong. Actu., New York, 2, 433441.Google Scholar
Girshick, M. A. (1946) Contributions to the theory of sequential analysis, II, III. Ann. Math. Statist., 17, 282298.CrossRefGoogle Scholar
Kendall, M. G. & Stuart, A. (1958) The Advanced Theory of Statistics. Griffin, London.Google Scholar
Markoff, A. A. (1912) Wahrscheinlichkeitsrechnung. Leipzig-Berlin.Google Scholar
Rouché, E. (1888) Sur un problème relatif à la durée du jeu. C. R. Acad. Sci. Paris, 116, 4749.Google Scholar
Uspensky, J. V. (1937) Introduction to Mathematical Probability. McGraw-Hill, New York.Google Scholar
Walker, A. M. (1950) Note on sequential sampling formulae for a binomial population. J. R. Statist. Soc., B, 12, 301307.Google Scholar