Preface | p. VII |
Stochastic Control in Discrete Time | p. 1 |
Dynamic Programming | p. 1 |
Introduction | p. 1 |
Dynamic Programming | p. 2 |
The Optimal Strategy | p. 4 |
Numerical Solutions for T = [infinity] | p. 6 |
Optimal Dividend Strategies in Risk Theory | p. 9 |
The Model | p. 9 |
The Optimal Strategy | p. 12 |
Premia of Size One | p. 16 |
Minimising Ruin Probabilities | p. 20 |
Optimal Reinsurance | p. 20 |
Optimal Investment | p. 24 |
Stochastic Control in Continuous Time | p. 27 |
The Hamilton-Jacobi-Bellman Approach | p. 28 |
Minimising Ruin Probabilities for a Diffusion Approximation | p. 34 |
Optimal Reinsurance | p. 34 |
Optimal Investment | p. 39 |
Optimal Investment and Reinsurance | p. 42 |
Minimising Ruin Probabilities for a Classical Risk Model | p. 43 |
Optimal Reinsurance | p. 44 |
Optimal Investment | p. 54 |
Optimal Reinsurance and Investment | p. 64 |
Optimal Dividends in the Classical Risk Model | p. 69 |
Restricted Dividend Payments | p. 70 |
Unrestricted Dividend Payments | p. 79 |
Optimal Dividends for a Diffusion Approximation | p. 97 |
Restricted Dividend Payments | p. 97 |
Unrestricted Dividend Payments | p. 102 |
A Note on Viscosity Solutions | p. 104 |
Problems in Life Insurance | p. 113 |
Merton's Problem for Life Insurers | p. 114 |
The Classical Merton Problem | p. 114 |
Single Life Insurance Contract | p. 122 |
Optimal Dividends and Bonus Payments | p. 127 |
Utility Maximisation of Dividends | p. 127 |
Utility Maximisation of Bonus | p. 132 |
Optimal Control of a Pension Fund | p. 135 |
No Constraints | p. 136 |
Fixed [theta] | p. 141 |
Fixed c | p. 142 |
Power Loss Function and [sigma subscript B] = 0 | p. 143 |
Asymptotics of Controlled Risk Processes | p. 147 |
Maximising the Adjustment Coefficient | p. 147 |
Optimal Reinsurance | p. 148 |
Optimal Investment | p. 152 |
Optimal Reinsurance and Investment | p. 153 |
Cramer-Lundberg Approximations for Controlled Classical Risk Models | p. 154 |
Optimal Proportional Reinsurance | p. 154 |
Optimal Excess of Loss Reinsurance | p. 163 |
Optimal Investment | p. 165 |
Optimal Proportional Reinsurance and Investment | p. 171 |
The Heavy-Tailed Case | p. 174 |
Proportional Reinsurance | p. 174 |
Excess of Loss Reinsurance | p. 179 |
Optimal Investment | p. 181 |
Optimal Proportional Reinsurance and Investment | p. 194 |
Stochastic Processes and Martingales | p. 201 |
Stochastic Processes | p. 201 |
Filtration and Stopping Times | p. 201 |
Martingales | p. 202 |
Poisson Processes | p. 203 |
Brownian Motion | p. 205 |
Stochastic Integrals and Ito's Formula | p. 206 |
Some Tail Asymptotics | p. 209 |
Markov Processes and Generators | p. 211 |
Definition of Markov Processes | p. 211 |
The Generator | p. 211 |
Change of Measure Techniques | p. 215 |
Introduction | p. 215 |
The Brownian Motion | p. 216 |
The Classical Risk Model | p. 217 |
Risk Theory | p. 219 |
The Classical Risk Model | p. 220 |
Introduction | p. 220 |
Small Claims | p. 221 |
Large Claims | p. 223 |
Perturbed Risk Models | p. 225 |
Diffusion Approximations | p. 226 |
Premium Calculation Principles | p. 227 |
Reinsurance | p. 228 |
The Black-Scholes Model | p. 231 |
Life Insurance | p. 235 |
Classical Life Insurance | p. 235 |
Bonus Schemes | p. 237 |
Unit-Linked Insurance Contracts | p. 238 |
References | p. 241 |
List of Principal Notation | p. 251 |
Index | p. 253 |
Table of Contents provided by Ingram. All Rights Reserved. |