The Cramér-Lundberg model and its variants : a queueing perspective / Michel Mandjes, Onno Boxma.

This book offers a comprehensive examination of the Cramér-Lundberg model, which is the most extensively researched model in ruin theory. It covers the fundamental dynamics of an insurance company's surplus level in great detail, presenting a thorough analysis of the ruin probability and relat...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Authors: Mandjes, Michel (Michael Robertus Hendrikus), 1970- (Author), Boxma, O. J., 1952- (Author)
Format: Electronic eBook
Language:English
Published: Cham : Springer, [2023]
Series:Springer actuarial. Springer actuarial textbooks.
Subjects:

MARC

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245 1 4 |a The Cramér-Lundberg model and its variants :  |b a queueing perspective /  |c Michel Mandjes, Onno Boxma. 
264 1 |a Cham :  |b Springer,  |c [2023] 
264 4 |c ©2023 
300 |a 1 online resource (xi, 246 pages) :  |b illustrations. 
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490 1 |a Springer actuarial. Springer actuarial textbooks,  |x 2523-3319 
504 |a Includes bibliographical references. 
520 |a This book offers a comprehensive examination of the Cramér-Lundberg model, which is the most extensively researched model in ruin theory. It covers the fundamental dynamics of an insurance company's surplus level in great detail, presenting a thorough analysis of the ruin probability and related measures for both the standard model and its variants. Providing a systematic and self-contained approach to evaluate the crucial quantities found in the Cramér-Lundberg model, the book makes use of connections with related queueing models when appropriate, and its emphasis on clean transform-based techniques sets it apart from other works. In addition to consolidating a wealth of existing results, the book also derives several new outcomes using the same methodology. This material is complemented by a thoughtfully chosen collection of exercises. The book's primary target audience is master's and starting PhD students in applied mathematics, operations research, and actuarial science, although it also serves as a useful methodological resource for more advanced researchers. The material is self-contained, requiring only a basic grounding in probability theory and some knowledge of transform techniques. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed December 7, 2023). 
505 0 |a Intro -- Preface -- Contents -- 1 Cramér-Lundberg Model -- 1.1 Introduction -- 1.2 Ruin Model, and Dual Queueing Model -- 1.3 Method 1: Conditioning on the First Event -- 1.4 Method 2: Ladder Heights, Busy Periods -- 1.5 Method 3: Kella-Whitt Martingale -- 1.6 Method 4: Kolmogorov Forward Equations -- 1.7 Discussion and Bibliographical Notes -- 1.8 Biographical Sketches -- Exercises -- References -- 2 Asymptotics -- 2.1 Introduction -- 2.2 Light-Tailed Case -- 2.3 Subexponential Case -- 2.4 Time-Dependent Ruin Probability -- 2.5 Heavy Traffic -- 2.6 Discussion and Bibliographical Notes 
505 8 |a Exercises -- References -- 3 Regime Switching -- 3.1 Introduction -- 3.2 System of Linear Equations for Transforms -- 3.3 Identification of the Unknown Constants -- 3.4 Cramér-Lundberg Model Over a Phase-Type Horizon -- 3.5 Resampling -- 3.6 Discussion and Bibliographical Notes -- Exercises -- References -- 4 Interest and Two-Sided Jumps -- 4.1 Introduction -- 4.2 Model and Notation -- 4.3 Exponential Upward Jumps -- 4.4 Relaxation of the Exponentiality Assumptions -- 4.5 Discussion and Bibliographical Notes -- Exercises -- References -- 5 Threshold-Based Net Cumulative Claim Process 
505 8 |a 5.1 Introduction -- 5.2 Scale Functions -- 5.3 Decomposition -- 5.4 Computation of Auxiliary Objects -- 5.5 Discussion and Bibliographical Notes -- Exercises -- References -- 6 Level-Dependent Dynamics -- 6.1 Introduction -- 6.2 Level-Dependent Premium Rate -- 6.3 Level-Dependent Premium Rate and Claim Arrival Rate -- 6.4 A Specific Level-Dependent Model -- 6.5 A Tax Identity -- 6.6 Discussion and Bibliographical Notes -- Exercises -- References -- 7 Multivariate Ruin -- 7.1 Introduction -- 7.2 Two-Dimensional Case -- 7.3 Higher-Dimensional Case -- 7.4 Tandem Queueing Networks 
505 8 |a 7.5 Multivariate Gerber-Shiu Metrics -- 7.6 Discussion and Bibliographical Notes -- Exercises -- References -- 8 Arrival Processes with Clustering -- 8.1 Introduction -- 8.2 M/G/Infinity Driven Arrivals -- 8.3 Shot-Noise Driven Arrivals -- 8.4 Hawkes Driven Arrivals -- 8.5 Discussion and Bibliographical Notes -- Exercises -- References -- 9 Dependence Between Claim Sizes and Interarrival Times -- 9.1 Introduction -- 9.2 Claim Size Being Correlated with Previous Interarrival Time -- 9.3 Interarrival Time Being Correlated with Previous Claim Size -- 9.4 A More General Markov-Dependent Risk Model 
505 8 |a 9.5 Discussion and Bibliographical Notes -- Exercises -- References -- 10 Advanced Bankruptcy Concepts -- 10.1 Introduction -- 10.2 Poisson Inspection Times -- 10.3 Length of First Excursion -- 10.4 Total Time with Negative Surplus -- 10.5 Discussion and Bibliographical Notes -- Exercises -- References -- A Laplace Transforms -- A.1 Definitions -- A.2 Some Convenient Properties -- A.3 Some Useful Concepts and Results -- A.4 Discussion and Bibliographical Notes -- Exercises -- B Some Queueing Theory -- B.1 Single-Server Queue M/G/1 -- B.2 Infinite-Server Queue M/G/Infinity 
650 0 |a Insurance  |x Mathematical models.  |0 http://id.loc.gov/authorities/subjects/sh2008123875 
700 1 |a Boxma, O. J.,  |d 1952-  |e author.  |0 http://id.loc.gov/authorities/names/n83065324  |1 http://isni.org/isni/000000010892998X 
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