Stochastic Methods for Pension Funds
ISTE Ltd and John Wiley & Sons Inc (Verlag)
978-1-84821-204-6 (ISBN)
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The aim of this book is to fill this gap and to show how recent methods of stochastic finance can be useful for to the risk management of pension funds. Methods of optimal control will be especially developed and applied to fundamental problems such as the optimal asset allocation of the fund or the cost spreading of a pension scheme. In these various problems, financial as well as demographic risks will be addressed and modelled.
Pierre Devolder is Professor of quantitative finance and actuarial sciences. He is associate editor of the ASTIN Bulletin and a member of the board of the AFIR section of the International Actuarial Association. His main research interests are pension funding, the application of stochastic processes to finance and insurance, fair valuation and solvency of insurance liabilities. Jacques Janssen is Honorary Professor at the Solvay Business School in Brussels, Belgium. He is a member of many scientific and actuarial associations (Belgium, France, and Switzerland) and chairman of the International ASMDA Steering Committee. His research interests include stochastic processes, financial and actuarial mathematics, operations research and data mining. Raimondo Manca is Professor of mathematical methods applied to economics, finance and actuarial science. He is associate editor of the journal Methodology and Computing in Applied Probability. His main research interests are multidimensional linear algebra, computational probability, the application of stochastic processes to economics, finance and insurance and simulation models.
Preface xiii
Chapter 1. Introduction: Pensions in Perspective 1
1.1. Pension issues 1
1.2. Pension scheme 7
1.3. Pension and risks 11
1.4. The multi-pillar philosophy 14
Chapter 2. Classical Actuarial Theory of Pension Funding 15
2.1. General equilibrium equation of a pension scheme 15
2.2. General principles of funding mechanisms for DB Schemes 21
2.3. Particular funding methods 22
Chapter 3. Deterministic and Stochastic Optimal Control 31
3.1. Introduction 31
3.2. Deterministic optimal control 31
3.3. Necessary conditions for optimality 33
3.4. The maximum principle 42
3.5. Extension to the one-dimensional stochastic optimal control 45
3.6. Examples 52
Chapter 4. Defined Contribution and Defined Benefit Pension Plans 55
4.1. Introduction 55
4.2. The defined benefit method 56
4.3. The defined contribution method 57
4.4. The notional defined contribution (NDC) method 58
4.5. Conclusions 93
Chapter 5. Fair and Market Values and Interest Rate Stochastic Models 95
5.1. Fair value 95
5.2. Market value of financial flows 96
5.3. Yield curve 97
5.4. Yield to maturity for a financial investment and for a bond 99
5.5. Dynamic deterministic continuous time model for an instantaneous interest rate 100
5.6. Stochastic continuous time dynamic model for an instantaneous interest rate 104
5.7. Zero-coupon pricing under the assumption of no arbitrage 114
5.8. Market evaluation of financial flows 130
5.9. Stochastic continuous time dynamic model for asset values 132
5.10. VaR of one asset 136
Chapter 6. Risk Modeling and Solvency for Pension Funds 149
6.1. Introduction 149
6.2. Risks in defined contribution 149
6.3. Solvency modeling for a DC pension scheme 150
6.4. Risks in defined benefit 170
6.5. Solvency modeling for a DB pension scheme 171
Chapter 7. Optimal Control of a Defined Benefit Pension Scheme 181
7.1. Introduction 181
7.2. A first discrete time approach: stochastic amortization strategy 181
7.3. Optimal control of a pension fund in continuous time 194
Chapter 8. Optimal Control of a Defined Contribution Pension Scheme 207
8.1. Introduction 207
8.2. Stochastic optimal control of annuity contracts 208
8.3. Stochastic optimal control of DC schemes with guarantees and under stochastic interest rates 223
Chapter 9. Simulation Models 231
9.1. Introduction231
9.2. The direct method 233
9.3. The Monte Carlo models 250
9.4. Salary lines construction 252
Chapter 10. Discrete Time Semi-Markov Processes (SMP) and Reward SMP 277
10.1. Discrete time semi-Markov processes 277
10.2. DTSMP numerical solutions 280
10.3. Solution of DTHSMP and DTNHSMP in the transient case: a transportation example 284
10.4. Discrete time reward processes 294
10.5. General algorithms for DTSMRWP 304
Chapter 11. Generalized Semi-Markov Non-homogeneous Models for Pension Funds and Manpower Management 307
11.1. Application to pension funds evolution 307
11.2. Generalized non-homogeneous semi-Markov model for manpower management 338
11.3. Algorithms 347
APPENDICES 359
Appendix 1. Basic Probabilistic Tools for Stochastic Modeling 361
Appendix 2. Itô Calculus and Diffusion Processes 397
Bibliography 437
Index 449
| Verlagsort | London |
|---|---|
| Sprache | englisch |
| Maße | 163 x 241 mm |
| Gewicht | 839 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
| ISBN-10 | 1-84821-204-6 / 1848212046 |
| ISBN-13 | 978-1-84821-204-6 / 9781848212046 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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