Risk Measures and Insurance Solvency Benchmarks

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A01=Vsevolod K. Malinovskii
actuarial science
advanced insurance risk modeling
asymptotic analysis
Author_Vsevolod K. Malinovskii
Business Process
Category=GPQD
Category=KFF
Category=KFFN
Category=KJQ
Category=PBT
Category=PBW
Claim Amount Distribution
Claim Arrival Process
Collective Risk Model
Company's Price
Compound Poisson Risk Model
Direct Corollary
Distributed Claim Size
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
financial risk assessment
Homogeneous Poisson Process
Inhomogeneous Poisson Process
insurance mathematics
Portfolio's Volume
Premium Intensity
probability theory
Renewal Risk Models
Risk Model
Risk Reserve Process
stochastic processes

Product details

  • ISBN 9780367744021
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 24 Jul 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Risk Measures and Insurance Solvency Benchmarks: Fixed-Probability Levels in Renewal Risk Models 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.

Vsevolod K. Malinovskii graduated from the Moscow State University, earned his Ph.D. in Mathematics from the Steklov Mathematical Institute in 1983, and his D.Sc. in Mathematics from the Central conomics and Mathematics Institute (CEMI) of the Russian Academy of Science in 2000. He joined Probability Theory's Department of Steklov Mathematical Institute in 1982 and worked there until 2006. Since 2009, he has been a Chief research fellow at the CEMI.
He was Visiting Professor at the University of Copenhagen in 1993 and in 1998, and at the University of Montreal in 2001. He has authored Insurance Planning Models: Price Competition and Regulation of Financial Stability and Level-Crossing Problems and Inverse Gaussian Distributions: Closed-Form Results and Approximations. Professor Malinovskii's main research interests are in Applied Probability and in Mathematical Statistics.

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