Pietro Parodi
Pricing in General Insurance (eBook, PDF)
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Pietro Parodi
Pricing in General Insurance (eBook, PDF)
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Pricing in General Insurance, Second Edition presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate.
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- Größe: 136.59MB
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Pricing in General Insurance, Second Edition presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 738
- Erscheinungstermin: 2. Mai 2023
- Englisch
- ISBN-13: 9781000860795
- Artikelnr.: 67556895
- Verlag: Taylor & Francis
- Seitenzahl: 738
- Erscheinungstermin: 2. Mai 2023
- Englisch
- ISBN-13: 9781000860795
- Artikelnr.: 67556895
Pietro Parodi has worked in general insurance pricing since 2005. He is currently Head of Methods and Tools for SCOR Specialty Insurance, and since 2012 a part-time lecturer at Bayes (formerly Cass) Business School. He has previously worked at Willis, Aon Benfield and Swiss Re. He is a fellow of the Institute and Faculty of Actuaries in the UK.
In his previous professional incarnations, he was a network administrator/IT project manager and a research scientist in the fields of artificial intelligence and neuroscience. He has a MSc and a PhD in Physics from the University of Genoa, Italy. Prior to university, he studied as an electronics technician at St John Bosco's secondary school in Genoa, where he could have developed some serious practical skills had his attention not been hijacked by the maths around Laplace transforms.
In 2012 he received the Brian Hey Award for his paper Triangle-free reserving, which he presented at GIRO.
He lives in East London with his wife and his four children.
In his previous professional incarnations, he was a network administrator/IT project manager and a research scientist in the fields of artificial intelligence and neuroscience. He has a MSc and a PhD in Physics from the University of Genoa, Italy. Prior to university, he studied as an electronics technician at St John Bosco's secondary school in Genoa, where he could have developed some serious practical skills had his attention not been hijacked by the maths around Laplace transforms.
In 2012 he received the Brian Hey Award for his paper Triangle-free reserving, which he presented at GIRO.
He lives in East London with his wife and his four children.
1.The Pricing Process: A Gentle Start. 2. Insurance and Reinsurance Products. 3.The Cover Structure.4. The Insurance Markets. 5. Pricing in Context. 6. The Scientific Basis for Pricing: Risk Theory. 7. Familiarise Yourself with the Risk. 8. Data Requirements for Pricing. 9. Setting the Loss Inflation Assumptions. 10. Data Preparation. 11. The Burning Cost Approach. 12. What Is This Thing Called Modelling? A Gentle Introduction to Machine Learning. 13. Frequency Modelling: Adjusting for Claim Count IBNR. 14. Frequency Modelling: Selecting and Calibrating a Frequency Model. 15. Severity Modelling: Adjusting for IBNER and Other Factors. 16. Severity Modelling: Selecting and Calibrating a Severity Model. 17. Aggregate Loss Modelling. 18. Identifying, Measuring, and Communicating Uncertanity. 19. Setting the Premium. 20. The Pricing Cycle and Rate Change Calculations. 21. Experience Rating for Non-Proportional Reinsurance. 22. Exposure Rating for Property Insurance. 23. Liability Rating Using Increased Limit Factor Curves. 24. Pricing Considerations for Specific Lines of Business. 25. Catastrophe Modelling in Pricing. 26. Credibilty Theory. 27. Rating Factor Selection and Calibration: GLMs, GAMs, and Regularisation. 28. Multilevel Factors and Smoothing. 29. Pricing Multiple Lines of Business and Risks. 30. Insurance Structure Optimisation. 31. An Introduction to Pricing Models.
1.The Pricing Process: A Gentle Start. 2. Insurance and Reinsurance Products. 3.The Cover Structure.4. The Insurance Markets. 5. Pricing in Context. 6. The Scientific Basis for Pricing: Risk Theory. 7. Familiarise Yourself with the Risk. 8. Data Requirements for Pricing. 9. Setting the Loss Inflation Assumptions. 10. Data Preparation. 11. The Burning Cost Approach. 12. What Is This Thing Called Modelling? A Gentle Introduction to Machine Learning. 13. Frequency Modelling: Adjusting for Claim Count IBNR. 14. Frequency Modelling: Selecting and Calibrating a Frequency Model. 15. Severity Modelling: Adjusting for IBNER and Other Factors. 16. Severity Modelling: Selecting and Calibrating a Severity Model. 17. Aggregate Loss Modelling. 18. Identifying, Measuring, and Communicating Uncertanity. 19. Setting the Premium. 20. The Pricing Cycle and Rate Change Calculations. 21. Experience Rating for Non-Proportional Reinsurance. 22. Exposure Rating for Property Insurance. 23. Liability Rating Using Increased Limit Factor Curves. 24. Pricing Considerations for Specific Lines of Business. 25. Catastrophe Modelling in Pricing. 26. Credibilty Theory. 27. Rating Factor Selection and Calibration: GLMs, GAMs, and Regularisation. 28. Multilevel Factors and Smoothing. 29. Pricing Multiple Lines of Business and Risks. 30. Insurance Structure Optimisation. 31. An Introduction to Pricing Models.