Ruin Probabilities (Second Edition) / Edition 2

Ruin Probabilities (Second Edition) / Edition 2

ISBN-10:
9814282529
ISBN-13:
9789814282529
Pub. Date:
09/14/2010
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9814282529
ISBN-13:
9789814282529
Pub. Date:
09/14/2010
Publisher:
World Scientific Publishing Company, Incorporated
Ruin Probabilities (Second Edition) / Edition 2

Ruin Probabilities (Second Edition) / Edition 2

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Overview

The book gives a comprehensive treatment of the classical and modern ruin probability theory. Some of the topics are Lundberg's inequality, the Cramér-Lundberg approximation, exact solutions, other approximations (e.g., for heavy-tailed claim size distributions), finite horizon ruin probabilities, extensions of the classical compound Poisson model to allow for reserve-dependent premiums, Markov-modulation, periodicity, change of measure techniques, phase-type distributions as a computational vehicle and the connection to other applied probability areas, like queueing theory. In this substantially updated and extended second version, new topics include stochastic control, fluctuation theory for Levy processes, Gerber-Shiu functions and dependence.

Product Details

ISBN-13: 9789814282529
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 09/14/2010
Series: Advanced Series On Statistical Science And Applied Probability , #14
Pages: 620
Product dimensions: 6.20(w) x 9.10(h) x 1.20(d)

Table of Contents

Preface ix

Notation and conventions xiii

I Introduction 1

1 The risk process 1

2 Claim size distributions 6

3 The arrival process 11

4 A summary of main results and methods 13

II Martingales and simple ruin calculations 21

1 Wald martingales 21

2 Gambler's ruin. Two-sided ruin. Brownian motion 23

3 Further simple martingale calculations 29

4 More advanced martingales 30

III Further general tools and results 39

1 Likelihood ratios and change of measure 39

2 Duality with other applied probability models 45

3 Random walks in discrete or continuous time 48

4 Markov additive processes 54

5 The ladder height distribution 62

IV The compound Poisson model 71

1 Introduction 72

2 The Pollaczeck-Khinchine formula 75

3 Special cases of the Pollaczeck-Khinchine formula 77

4 Change of measure via exponential families 82

5 Lundberg conjugation 84

6 Further topics related to the adjustment coefficient 91

7 Various approximations for the ruin probability 95

8 Comparing the risks of different claim size distributions 100

9 Sensitivity estimates 103

10 Estimation of the adjustment coefficient 100

V The probability of ruin within finite time 115

1 Exponential claims 116

2 The ruin probability with no initial reserve 121

3 Laplace transforms 126

4 When does ruin occur? 128

5 Diffusion approximations 136

6 Corrected diffusion approximations 139

7 How does ruin occur? 146

VI Renewal arrivals 151

1 Introduction 151

2 Exponential claims. The compound Poisson model with negative claims 154

3 Change of measure via exponential families 157

4 The duality with queueing theory 161

VII Risk theory in a Markovian Environment 165

1 Model and examples 165

2 The ladder height distribution 172

3 Change of measure via exponential families 180

4 Comparisons with the compound Poisson model 188

5 The Markovian arrival process 194

6 Risk theory in a periodic environment 196

7 Dual queueing models 205

VIII Level-dependent risk processes 209

1 Introduction 209

2 The model with constant interest 222

3 The local adjustment coefficient. Logarithmic asymptotics 227

4 The model with tax 239

5 Discrete-time ruin problems with stochastic investment 242

6 Continuous-time ruin problems with stochastic investment 248

IX Matrix-analytic methods 253

1 Definition and basic properties of phase-type distributions 253

2 Renewal theory 260

3 The compound Poisson model 264

4 The renewal model 266

5 Markov-modulated input 271

6 Matrix-exponential distributions 277

7 Reserve-dependent premiums 281

8 Erlangization for the finite horizon case 287

X Ruin probabilities in the presence of heavy tails 293

1 Subexponential distributions 293

2 The compound Poisson model 302

3 The renewal model 305

4 Finite-horizon ruin probabilities 309

5 Reserve-dependent premiums 318

6 Tail estimation 320

XI Ruin probabilities for Lévy processes 329

1 Preliminaries 329

2 One-sided ruin theory 336

3 The scale function and two-sided ruin problems 340

4 Further topics 345

5 The scale function for two-sided phase-type jumps 353

XII Gerber-Shiu functions 357

1 Introduction 357

2 The compound Poisson model 360

3 The renewal model 374

4 Lévy risk models 384

XIII Further models with dependence 397

1 Large deviations 398

2 Heavy-tailed risk models with dependent input 410

3 Linear models 417

4 Risk processes with shot-noise Cox intensities 419

5 Causal dependency models 424

6 Dependent Sparre Andersen models 427

7 Gaussian models. Fractional Brownian motion 428

8 Ordering of ruin probabilities 433

9 Multi-dimensional risk processes 435

XIV Stochastic control 445

1 Introduction 445

2 Stochastic dynamic programming 447

3 The Hamilton-Jacobi-Bellman equation 448

XV Simulation methodology 461

1 Generalities 461

2 Simulation via the Pollaczeck-Khinchine formula 465

3 Static importance sampling via Lundberg conjugation 470

4 Static importance sampling for the finite horizon case 474

5 Dynamic importance sampling 475

6 Regenerative simulation 482

7 Sensitivity analysis 484

XVI Miscellaneous topics 487

1 More on discrete-time risk models 487

2 The distribution of the aggregate claims 493

3 Principles for premium calculation 510

4 Reinsurance 513

Appendix 517

A1 Renewal theory 517

A2 Wiener-Hopf factorization 522

A3 Matrix-exponentials 526

A4 Some linear algebra 530

A5 Complements on phase-type distributions 536

A6 Tauberian theorems 548

Bibliography 549

Index 597

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