Practical Risk Theory for Actuaries

Przednia okładka
CRC Press, 1 gru 1993 - 576
This classic textbook covers all aspects of risk theory in a practical way. It builds on from the late R.E. Beard's extremely popular book Risk Theory, but features more emphasis on simulation and modeling and on the use of risk theory as a practical tool. Practical Risk Theory is a textbook for practicing and student actuaries on the practical asp
 

Spis treści

1 Some preliminary ideas
3
12 Accounting model
7
13 Some features of the classical theory
13
14 Notation and some concepts from probability theory
18
2 The number of claims
30
22 The Poisson distribution
31
23 Properties of Poisson variables
33
24 Mixed Poisson claim number variable
38
103 Premiums in practice
316
11 Expenses taxes and dividends
320
112 Taxes
324
113 Dividends
325
12 The insurance process
327
122 Empirical observations
329
123 Business cycles analysis of causes and mechanisms
333
124 Simulation of the insurance process
343

negative binomial distribution
48
26 Variation of risk propensity within the portfolio
51
3 The amount of claims
55
32 Properties of compound distributions
58
33 The claim size distribution
69
34 Claims and reinsurance
100
4 Calculation of a compound claim df F
119
42 Approximate formulae for F
125
5 Simulation
137
52 Random numbers
138
53 Simulation of claim numbers
141
54 Simulation of compoun dvariables
143
55 Outlines for simulation of more complex insurance processes
147
6 Applications involving shortterm claim fluctuation
155
62 Evaluating the capital at risk
163
63 Rules for maximum retention
170
64 An application to ratemaking
178
65 Experiencerating
179
66 Optimal risk sharing
189
PART TWO STOCHASTIC ANALYSIS OF INSURANCE BUSINESS
209
7 Inflation
211
72 Inflation and insurance
214
73 Modelling inflation
218
8 Investment
226
82 Investment returns
230
83 Modelling investment prices and returns
239
84 The Wilkie model
242
85 Other model structures
250
86 Assetliability considerations
263
9 Claims with an extended time horizon
277
92 Claim number process
278
93 Claim amounts
282
94 Simulation of the claim process
285
95 The settlement of claims
289
96 Catastrophes
305
10 Premiums
310
102 Theoretical background
311
13 Applications to longterm processes
357
132 Capital requirements of an insurance company
363
133 Evaluation of an insurers net retention limits
367
14 Managing uncertainty
369
142 Basic equations
371
143 The insurer and the market
373
144 Measuring and managing financial strength
382
145 Corporate planning
390
146 Public solvency control
397
15 Life insurance
408
152 Stochastic cohort approach
413
153 Analysis of the total business
426
16 Pension schemes
435
162 Pension formulae
436
163 Deterministic method sof pension funding
442
164 Stochastic methods for pensions
447
APPENDICES
452
A2 Derivation of the Poisson distribution la w
454
B Polya and Gamma distributions
459
C Asymptotic behaviour of the compound mixed Poisson df
462
D Numerical calculation of the normal df
463
E Derivation of the recursion formula for F
465
F Simulation
468
F2 Normally distributed random numbers
469
F4 Numerical outputs and their accuracy
470
F5 Simulation of the insurance business
472
G Time series
476
G2 Autoregressive process of first order
479
G3 Autoregressive process of second order
481
G4 Generalizations an dvariants
484
H Portfolio selection
488
I Solutions to exercises
492
Bibliography
514
Subject index
526
Author index
544
Prawa autorskie

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Informacje o autorze (1993)

C.D. Daykin, T. Pentikainen, Martti Pesonen Industrial Insurance, Helsinki, Finland.

Informacje bibliograficzne