Vsevolod K. Malinovskii

Risk Measures and Insurance Solvency Benchmarks (eBook, PDF)

Fixed-Probability Levels in Renewal Risk Models

• Format: PDF

Produktbeschreibung

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 and have a taste for classical and asymptotic analysis.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 340
• Erscheinungstermin: 21. Juli 2021
• Englisch
• ISBN-13: 9781000411072
• Artikelnr.: 62050148

Autorenporträt

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.

Inhaltsangabe

1. Risk measures in finance and insurance. 1.1. Risk measures in finance
and portfolio management. 1.2. Risk measures in Solvency II system. 1.3.
Risk measures in risk theory. 1.4. Aim and structure of the book. 1.5.
Readers, to whom this book is addressed. Problems. 2. Fixed-probability
level in a diffusion model. 2.1. Diffusion model: an auxiliary tool. 2.2.
Direct level-crossing problem. 2.3. Inverse level-crossing problem. 2.4.
Asymptotic behaviour of fixed-probability level. 2.5. Primary upper bounds
on fixed-probability level. 2.6. Elaborated upper bounds on
fixed-probability level. 2.7. Conclusions and perspectives. Problems. 3.
Fixed-probability level in an exceptional renewal model. 3.1. Exponential
renewal model: an exceptional case. 3.2. Direct level-crossing problem.
3.3. Inverse level-crossing problem. 3.4. Asymptotic behaviour of
fixed-probability level. 3.5. Primary upper bounds on fixed-probability
level. 3.6. Elaborated upper bounds on fixed-probability level. 3.7.
Conclusions. Problems. 4. Implicit function defined by M-equation. 4.1.
Analytical properties of core integral expression. 4.2. Proximity between
Mu;c(t) and Mu;c(t j v). 4.3. Analytical properties of M-level. Problem.
5. Fixed-probability level in general renewal model. 5.1. General renewal
model: main framework. 5.2. Direct level-crossing problem. 5.3. Inverse
level-crossing problem. 5.4. Primary upper bounds on fixed-probability
level. 5.5. Proximity to M-level. 5.6. Conclusion. Problem. 6. Case study:
numerical evaluation of fixed-probability Level. 6.1. Distributions of T
and Y selected for numerical calculations. 6.2. Simulation in
level-crossing problems. 6.3. Numerically calculated bounds on the
fixed-probability level. 6.4. Conclusion. Problems. 7. Probability
mechanism of insurance with migration and ERS-analysis. 7.1. Structural
model of insurance business: origin and purpose of ERS-analysis. 7.2. Price
competition, migration, and market price. 7.3. Compound Poisson risk model
with migration. 7.4. ERS-analysis, when Y is exponentially distributed.
7.5. ERS-analysis, when Y is generally distributed. 7.6. Conclusions.
Problems. A. Auxiliary results from analysis. B. Auxiliary results from
probability. List of Notations. Notes and Comments. Bibliography. Index.