Pricing in General Insurance

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CRC Press, 15.10.2014 - 584 Seiten
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Based on the syllabus of the actuarial industry course on general insurance pricing — with additional material inspired by the author’s own experience as a practitioner and lecturer — Pricing in General Insurance presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate. The main strength of this approach is that it imposes a reasonably linear narrative on the material and allows the reader to see pricing as a story and go back to the big picture at any time, putting things into context.

Written with both the student and the practicing actuary in mind, this pragmatic textbook and professional reference:

  • Complements the standard pricing methods with a description of techniques devised for pricing specific products (e.g., non-proportional reinsurance and property insurance)
  • Discusses methods applied in personal lines when there is a large amount of data and policyholders can be charged depending on many rating factors
  • Addresses related topics such as how to measure uncertainty, incorporate external information, model dependency, and optimize the insurance structure
  • Provides case studies, worked-out examples, exercises inspired by past exam questions, and step-by-step methods for dealing concretely with specific situations

Pricing in General Insurance delivers a practical introduction to all aspects of general insurance pricing, covering data preparation, frequency analysis, severity analysis, Monte Carlo simulation for the calculation of aggregate losses, burning cost analysis, and more.

 

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Über den Autor (2014)

Pietro Parodi, Ph.D, FIA is a director at Swiss Re and a part-time lecturer at Cass Business School, both in London, UK. Previously he worked as an actuary at Willis Ltd., London, UK and Genoa, Italy, and at Aon Benfield, London, UK. He served as research/post-doctoral fellow at the International School for Advanced Studies, Trieste, Italy; University of Toronto, Ontario, Canada; and GE Global Research, Schenectady, New York, USA. His notable paper, Triangle-Free Reserving - A Non-Traditional Framework for Estimating Reserves and Reserve Uncertainty, was presented at GIRO 2012 and received the Brian Hey Award.

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