Practical risk theory for actuaries

Practical risk theory for actuaries

by Daykin, C. D., (Chris D.)

Type Book
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A revised textbook covering all aspects of risk theory in a practical way. It follows on from the late R.E. Beard's book "Risk Theory" and should be of interest to actuarial students and practitioners working in the insurance industry as well as economists and applied statisticians.

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Title Statements

  • Full title :Practical risk theory for actuaries / C.D. Daykin, T. Pentikäinen, and M. Pesonen.

Summary

A revised textbook covering all aspects of risk theory in a practical way. It follows on from the late R.E. Beard's book "Risk Theory" and should be of interest to actuarial students and practitioners working in the insurance industry as well as economists and applied statisticians.

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Edition Statements

  • Publication Date:1994.
  • Edition:1st ed

Publication Statements

  • Publisher(s):Chapman & Hall
  • Place of Publication:London
  • Language:eng
  • Publication Date:1994.

The Physical Object

  • Description:xxi, 546 pages : : illustrations ; : 23 cm.

Edition Identifiers

  • ISBN:0412428504, 9780412428500
  • oclc:ocm28844823
  • LC Classification:HG8781
  • Dewey Decimal:368/.01

Table of Contents

pt. 1. Foundations of Practical Risk Theory. 1. Some preliminary ideas. 2. The number of claims. 3. The amount of claims. 4. Calculation of a compound claim d.f. F. 5. Simulation. 6. Applications involving short-term claim fluctuation -- pt. 2. Stochastic Analysis of Insurance Business. 7. Inflation. 8. Investment. 9. Claims with an extended time horizon. 10. Premiums. 11. Expenses, taxes and dividends. 12. The insurance process. 13. Applications to long-term processes. 14. Managing uncertainty. 15. Life insurance. 16. Pension schemes -- App. A Derivation of the Poisson formula -- App. B Polya and Gamma distributions -- App. C Asymptotic behaviour of the compound mixed Poisson d.f -- App. D Numerical calculation of the normal d.f -- App. E Derivation of the recursion formula for F -- App. F Simulation -- App. G Time series -- App. H Portfolio selection -- App. I Solutions to exercises.

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