Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-27T23:57:50.295Z Has data issue: false hasContentIssue false

IV Simulation

Published online by Cambridge University Press:  11 August 2014

Get access

Extract

Simulation is the technique of examining a problem by playing it through like a game. Usually the problem involves probabilities and these are modelled in the game by a random element introduced by throwing a die, picking numbered counters from a bag or generating random numbers on a computer. Usually the probabilities of interest are estimated by playing through the game a large number of times. It is the speed of the modern computer which has turned the technique from an interesting toy into a powerful tool.

As an example suppose we have a problem involving a payment if a life aged x dies before age x+1 and we are given qx = ·024, say. If we have a bag with counters numbered 1, 2,… 1,000 and pick one at random then the probability that the number drawn is less than or equal to 24 is just ·024. Hence it will be convenient to invent the ‘rule’ that at that point in the game if the number drawn is less than or equal to 24 then x dies and the payment is made, otherwise he lives and no payment is made.

Type
Expository Articles
Copyright
Copyright © Institute of Actuaries Students' Society 1970

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.)

References

BRIEF BIBLIOGRAPHY

1. Benjamin, S. Computers and actuarial science, J.S.S. 17, Part 2, 93.Google Scholar
2. Benjamin, S. Simulating mortality fluctuations, Transactions of the 17th International Congress of Actuaries, 1964, III, 478.Google Scholar
3. Benjamin, S. Putting computers on to actuarial work, J.I.A. 92, Part II p. 134.Google Scholar
4. Kennedy, S. P. L. and Goodare, K. J., The assessment of reassurance strategies, Translations of the 18th International Congress of Actuaries, 1968, V, 903.Google Scholar
5. Boermeester, J. M., Frequency distribution of mortality cost, T.S.A. 8 (1956), 1.Google Scholar
6. Collins Jnr., R. M., Actuarial application of the Monte Carlo technique, T.S.A. 14 (1962), 365.Google Scholar
7. Collins Jnr., R. M. and Hill, J. S., Simulation models for life insurance, Transactions of the 18th International Congress of Actuaries, 1968, V, 851.Google Scholar