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Pricing in General Insurance

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Based on the syllabus of an actuarial industry course on general insurance pricing, this text presents pricing as a structured process that begins with gathering information about a policyholder or risk and culminates in a commercially informed rate. Its strength lies in providing a linear narrative, allowing readers to view pricing as a cohesive story while maintaining context. Aimed at both students and practicing actuaries, this pragmatic textbook serves as a professional reference by complementing standard pricing methods with techniques tailored for specific products, such as non-proportional reinsurance and property insurance. It also explores methods for personal lines where extensive data allows for nuanced rating based on multiple factors. Key topics include measuring uncertainty, incorporating external information, modeling dependency, and optimizing insurance structures. The book features case studies, worked examples, exercises based on past exam questions, and step-by-step approaches to tackle specific scenarios. It offers a comprehensive introduction to general insurance pricing, addressing data preparation, frequency and severity analysis, Monte Carlo simulation for aggregate loss calculations, burning cost analysis, and more.

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Pricing in General Insurance, Pietro Parodi

Language
Released
2014
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Title
Pricing in General Insurance
Language
English
Released
2014
Format
Hardcover
Pages
586
ISBN10
1466581441
ISBN13
9781466581449
Series
Description
Based on the syllabus of an actuarial industry course on general insurance pricing, this text presents pricing as a structured process that begins with gathering information about a policyholder or risk and culminates in a commercially informed rate. Its strength lies in providing a linear narrative, allowing readers to view pricing as a cohesive story while maintaining context. Aimed at both students and practicing actuaries, this pragmatic textbook serves as a professional reference by complementing standard pricing methods with techniques tailored for specific products, such as non-proportional reinsurance and property insurance. It also explores methods for personal lines where extensive data allows for nuanced rating based on multiple factors. Key topics include measuring uncertainty, incorporating external information, modeling dependency, and optimizing insurance structures. The book features case studies, worked examples, exercises based on past exam questions, and step-by-step approaches to tackle specific scenarios. It offers a comprehensive introduction to general insurance pricing, addressing data preparation, frequency and severity analysis, Monte Carlo simulation for aggregate loss calculations, burning cost analysis, and more.