Vsevolod K. Malinovskii
Risk Measures and Insurance Solvency Benchmarks: Fixed-Probability Levels in Renewal Risk Models
Risk Measures and Insurance Solvency Benchmarks: Fixed-Probability Levels in Renewal Risk Models
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Excellent- More about Risk Measures and Insurance Solvency Benchmarks: Fixed-Probability Levels in Renewal Risk Models
This book discusses risk measures and insurance solvency benchmarks, focusing on fixed-probability levels in renewal risk models. It is written for academics and practitioners concerned about potential weaknesses of the Solvency II regulatory system, and for readers interested in pure and applied probability, classical and asymptotic analysis, and intensive calculations. The book requires minimal mathematical prerequisites in analysis and probability and is suitable for researchers and postgraduate students in related fields. It can also be used as a supplement to courses in risk measures, insurance mathematics, and applied probability.
Format: Hardback
Length: 324 pages
Publication date: 22 July 2021
Publisher: Taylor & Francis Ltd
This book is written for academics and practitioners who are concerned about potential weaknesses of the Solvency II regulatory system. It is also intended for readers who are interested in pure and applied probability, have a taste for classical and asymptotic analysis, and are motivated to delve into rather intensive calculations.
The formal prerequisite for this book is a good background in analysis. The desired prerequisite is some degree of probability training, but someone with knowledge of the classical real-variable theory, including asymptotic methods, will also find this book interesting. For those who find the proofs too complicated, it may be reassuring that most results in this book are formulated in rather elementary terms. This book can also be used as reading material for basic courses in risk measures, insurance mathematics, and applied probability.
The material of this book was partly used by the author for his courses in several universities in Moscow, Copenhagen University, and in the University of Montreal.
Features:
Requires only minimal mathematical prerequisites in analysis and probability.
Suitable for researchers and postgraduate students in related fields.
Could be used as a supplement to courses in risk measures, insurance mathematics, and applied probability.
Weight: 654g
Dimension: 161 x 243 x 25 (mm)
ISBN-13: 9780367740269
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