ACTUARIAL MATHEMATICS FOR LIFE CONTINGENT RISKS



Similar documents
Actuarial Mathematics for Life Contingent Risks

TABLE OF CONTENTS. GENERAL AND HISTORICAL PREFACE iii SIXTH EDITION PREFACE v PART ONE: REVIEW AND BACKGROUND MATERIAL

May 2012 Course MLC Examination, Problem No. 1 For a 2-year select and ultimate mortality model, you are given:

Chapter You are given: 1 t. Calculate: f. Pr[ T0

November 2012 Course MLC Examination, Problem No. 1 For two lives, (80) and (90), with independent future lifetimes, you are given: k p 80+k

Solution. Let us write s for the policy year. Then the mortality rate during year s is q 30+s 1. q 30+s 1

Premium Calculation. Lecture: Weeks Lecture: Weeks (STT 455) Premium Calculation Fall Valdez 1 / 31

Premium Calculation. Lecture: Weeks Lecture: Weeks (Math 3630) Annuities Fall Valdez 1 / 32

Premium calculation. summer semester 2013/2014. Technical University of Ostrava Faculty of Economics department of Finance

JANUARY 2016 EXAMINATIONS. Life Insurance I

Annuities. Lecture: Weeks Lecture: Weeks 9-11 (STT 455) Annuities Fall Valdez 1 / 43

INSTITUTE OF ACTUARIES OF INDIA

On Simulation Method of Small Life Insurance Portfolios By Shamita Dutta Gupta Department of Mathematics Pace University New York, NY 10038

How To Become A Life Insurance Specialist

Faculty of Science Course Syllabus Department of Mathematics and Statistics Life Contingencies II ACSC/STAT 4720 Fall 2015

INSTRUCTIONS TO CANDIDATES

Exam P - Total 23/

INSTITUTE AND FACULTY OF ACTUARIES EXAMINATION

SOCIETY OF ACTUARIES. EXAM MLC Models for Life Contingencies EXAM MLC SAMPLE QUESTIONS

O MIA-009 (F2F) : GENERAL INSURANCE, LIFE AND

Heriot-Watt University. BSc in Actuarial Mathematics and Statistics. Life Insurance Mathematics I. Extra Problems: Multiple Choice

Fundamentals of Actuarial Mathematics. 3rd Edition

STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 STAT2400&3400 STAT2400&3400 STAT2400&3400 STAT2400&3400 STAT3400 STAT3400

TABLE OF CONTENTS. 4. Daniel Markov 1 173

SOCIETY OF ACTUARIES. EXAM MLC Models for Life Contingencies EXAM MLC SAMPLE WRITTEN-ANSWER QUESTIONS AND SOLUTIONS

How To Become A Life Insurance Agent

SOCIETY OF ACTUARIES. EXAM MLC Models for Life Contingencies EXAM MLC SAMPLE QUESTIONS

Premium Calculation - continued

Some Observations on Variance and Risk

How To Perform The Mathematician'S Test On The Mathematically Based Test

Quantitative Methods for Finance

EXAMINATION. 6 April 2005 (pm) Subject CT5 Contingencies Core Technical. Time allowed: Three hours INSTRUCTIONS TO THE CANDIDATE

SOA EXAM MLC & CAS EXAM 3L STUDY SUPPLEMENT

Yanyun Zhu. Actuarial Model: Life Insurance & Annuity. Series in Actuarial Science. Volume I. ir* International Press.

Valuation of the Surrender Option Embedded in Equity-Linked Life Insurance. Brennan Schwartz (1976,1979) Brennan Schwartz

Case Study Modeling Longevity Risk for Solvency II

Insurance Benefits. Lecture: Weeks 6-8. Lecture: Weeks 6-8 (STT 455) Insurance Benefits Fall Valdez 1 / 36

Stochastic Analysis of Long-Term Multiple-Decrement Contracts

Living to 100: Survival to Advanced Ages: Insurance Industry Implication on Retirement Planning and the Secondary Market in Insurance

1 Cash-flows, discounting, interest rate models

EDUCATION COMMITTEE OF THE SOCIETY OF ACTUARIES MLC STUDY NOTE SUPPLEMENTARY NOTES FOR ACTUARIAL MATHEMATICS FOR LIFE CONTINGENT RISKS VERSION 2.

1. Datsenka Dog Insurance Company has developed the following mortality table for dogs:

Featured article: Evaluating the Cost of Longevity in Variable Annuity Living Benefits

Manual for SOA Exam MLC.

Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics

INSTITUTE AND FACULTY OF ACTUARIES EXAMINATION

Actuarial Guidance Note No. 2. Guidance Note for Valuation of Policy Liabilities for Life Insurance Business

Financial Engineering g and Actuarial Science In the Life Insurance Industry

Further Topics in Actuarial Mathematics: Premium Reserves. Matthew Mikola

Manual for SOA Exam MLC.

Standard Valuation Law.

GLOSSARY. A contract that provides for periodic payments to an annuitant for a specified period of time, often until the annuitant s death.

Glossary of insurance terms

NORTH CAROLINA GENERAL ASSEMBLY 1981 SESSION CHAPTER 761 SENATE BILL 623

REGS 2013: Variable Annuity Guaranteed Minimum Benefits

By Dan Zollars, Scott Grossfeld, and Deborah Day

Hedging Variable Annuity Guarantees

Practice Exam 1. x l x d x

Actuarial Society of India

VERMONT DEPARTMENT OF BANKING AND INSURANCE REVISED REGULATION 77-2 VERMONT LIFE INSURANCE SOLICITATION REGULATION

MATH 3630 Actuarial Mathematics I Class Test 2 Wednesday, 17 November 2010 Time Allowed: 1 hour Total Marks: 100 points

Using Excel and VBA CHANDAN SENGUPTA SECOND EDITION. WILEY John Wiley & Sons, Inc.

Be it enacted by the People of the State of Illinois,

SURRENDER VALUE AND PAID-UP VALUE STANDARD FOR LIFE INSURANCE

Heriot-Watt University. M.Sc. in Actuarial Science. Life Insurance Mathematics I. Tutorial 5

No. 63 Page 1 of

Pricing and Risk Management of Variable Annuity Guaranteed Benefits by Analytical Methods Longevity 10, September 3, 2014

Pricing Frameworks for Securitization of Mortality Risk

Stochastic Analysis of Life Insurance Surplus

**BEGINNING OF EXAMINATION**

Gain Sharing and Investment Retirement Plans

Introduction to Financial Models for Management and Planning

Valuation of the Minimum Guaranteed Return Embedded in Life Insurance Products

On the decomposition of risk in life insurance

Delme John Pritchard

A linear algebraic method for pricing temporary life annuities

What is Whole Life insurance?

4. Life Insurance. 4.1 Survival Distribution And Life Tables. Introduction. X, Age-at-death. T (x), time-until-death

ACTS 4301 FORMULA SUMMARY Lesson 1: Probability Review. Name f(x) F (x) E[X] Var(X) Name f(x) E[X] Var(X) p x (1 p) m x mp mp(1 p)

A Simulation-Based lntroduction Using Excel

Matching Investment Strategies in General Insurance Is it Worth It? Aim of Presentation. Background 34TH ANNUAL GIRO CONVENTION

Lecture 12: The Black-Scholes Model Steven Skiena. skiena

PENSION MANAGEMENT & FORECASTING SOFTWARE

Finance 160:163 Sample Exam Questions Spring 2003

Math 419B Actuarial Mathematics II Winter 2013 Bouillon 101 M. W. F. 11:00 11:50

Derivatives: Principles and Practice

GN47: Stochastic Modelling of Economic Risks in Life Insurance

Fair Valuation and Hedging of Participating Life-Insurance Policies under Management Discretion

INSTITUTE OF ACTUARIES OF INDIA

Updated Wis. Stats. Published and certified under s November 19, CHAPTER 623 INSURANCE ACCOUNTING AND RESERVES

CHAPTER STANDARD VALUATION LAW

TABLE OF CONTENTS: PART A: EXAMPLES

Actuarial Science with

TRANSACTIONS OF SOCIETY OF ACTUARIES 1952 VOL. 4 NO. 10 COMPLETE ANNUITIES. EUGENE A. RASOR* Ann T. N. E. GREVILLE

Asset Liability Management for Life Insurance: a Dynamic Approach

INSURANCE DEPARTMENT OF THE STATE OF NEW YORK REGULATION NO. 147 (11 NYCRR 98) VALUATION OF LIFE INSURANCE RESERVES

Financial Mathematics Exam

Embedded Value Report

Transcription:

ACTUARIAL MATHEMATICS FOR LIFE CONTINGENT RISKS DAVID C. M. DICKSON University of Melbourne MARY R. HARDY University of Waterloo, Ontario V HOWARD R. WATERS Heriot-Watt University, Edinburgh CAMBRIDGE UNIVERSITY PRESS

Contents Preface Introduction to life insurance 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 Background Life insurance and annuity contracts 1.3.1 Introduction 1.3.2 Traditional insurance contracts 1.3.3 Modern insurance contracts 1.3.4 Distribution methods 1.3.5 Underwriting 1.3.6 Premiums 1.3.7 Life annuities Other insurance contracts Pension benefits 1.5.1 Defined benefit and defined contribution 1.5.2 Defined benefit pension design Mutual and proprietary insurers Typical problems Survival models 2.1 2.2 The future lifetime random variable 2.3 The force of mortality 2.4 Actuarial notation 2.5 Mean and standard deviation of T x 2.6 Curtate future lifetime 2.6.1 K r and e r page xiv 1 1 1 3 3 4 6 8 8 10 11 12 12 pensions 13 13 14 14 15 15 17 17 17 21 26 29 32 32 Vll

viii Contents 2.7 2.8 Lifei 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 3.10 3.11 2.6.2 The complete and curtate expected future lifetimes, e x and e x tables and selection Life tables Fractional age assumptions 3.3.1 Uniform distribution of deaths 3.3.2 Constant force of mortality National life tables Survival models for life insurance policyholders Life insurance underwriting Select and ultimate survival models Notation and formulae for select survival models Select life tables Insurance benefits 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 Introduction Assumptions Valuation of insurance benefits 4.4.1 Whole life insurance: the continuous case, A x 4.4.2 Whole life insurance: the annual case, A x 4.4.3 Whole life insurance: the 1/rathly case, A^ 4.4.4 Recursions 4.4.5 Term insurance 4.4.6 Pure endowment 4.4.7 Endowment insurance 4.4.8 Deferred insurance benefits Relating A x, A x and A x m) 4.5.1 Using the uniform distribution of deaths assumption 4.5.2 Using the claims acceleration approach Variable insurance benefits Functions for select lives Annuities 5.1 5.2 Introduction 34 35 36 41 41 41 44 44 48 49 52 54 56 58 59 67 67 73 73 73 74 75 75 78 79 81 86 88 89 91 93 93 95 96 101 101 102 107 107 107

Contents 5.3 Review of annuities-certain 108 5.4 Annual life annuities 108 5.4.1 Whole life annuity-due 109 5.4.2 Term annuity-due 112 5.4.3 Whole life immediate annuity 113 5.4.4 Term immediate annuity 114 5.5 Annuities payable continuously 115 5.5.1 Whole life continuous annuity 115 5.5.2 Term continuous annuity 117 5.6 Annuities payable m times per year 118 5.6.1 Introduction " 118 5.6.2 Life annuities payable m times a year 119 5.6.3 Term annuities payable m times a year 120 5.7 Comparison of annuities by payment frequency 121 5.8 Deferred annuities 123 5.9 Guaranteed annuities 125 5.10 Increasing annuities 127 5.10.1 Arithmetically increasing annuities 127 5.10.2 Geometrically increasing annuities 129 5.11 Evaluating annuity functions 130 5.11.1 Recursions 130 5.11.2 Applying the UDD assumption 131 5.11.3 Woolhouse's formula 132 5.12 Numerical illustrations 135 5.13 Functions for select lives 136 5.14 137 5.15 137 Premium calculation 142 6.1 142 6.2 Preliminaries 142 6.3 Assumptions 143 6.4 The present value of future loss random variable 145 6.5 The equivalence principle 146 6.5.1 Net premiums 146 6.6 Gross premium calculation 150 6.7 Profit 154 6.8 The portfolio percentile premium principle 162 6.9 Extra risks 165 6.9.1 Age rating 165 6.9.2 Constant addition to \x x 165 6.9.3 Constant multiple of mortality rates 167 ix

Contents 6.10 169 6.11 170 Policy values 176 7.1 176 7.2 Assumptions 176 7.3 Policies with annual cash flows 176 7.3.1 The future loss random variable 176 7.3.2 Policy values for policies with annual cash flows 182 7.3.3 Recursive formulae for policy values 191 7.3.4 Annual profit, 196 7.3.5 Asset shares ' 200 7.4 Policy values for policies with cash flows at discrete intervals other than annually 203 7.4.1 Recursions 204 7.4.2 Valuation between premium dates 205 7.5 Policy values with continuous cash flows 207 7.5.1 Thiele's differential equation 207 7.5.2 Numerical solution of Thiele's differential equation 211 7.6 Policy alterations 213 7.7 Retrospective policy value 219 7.8 Negative policy values 220 7.9 220 7.10 220 Multiple state models 230 8.1 230 8.2 Examples of multiple state models 230 8.2.1 The alive-dead model 230 8.2.2 Term insurance with increased benefit on accidental death 232 8.2.3 The permanent disability model 232 8.2.4 The disability income insurance model 233 8.2.5 The joint life and last survivor model 234 8.3 Assumptions and notation 235 8.4 Formulae for probabilities 239 8.4.1 Kolmogorov's forward equations 242 8.5 Numerical evaluation of probabilities 243 8.6 Premiums 247 8.7 Policy values and Thiele's differential equation 250 8.7.1 The disability income model 251 8.7.2 Thiele's differential equation - the general case 255

8.8 8.9 Contents Multiple decrement models Joint life and last survivor benefits 8.9.1 The model and assumptions 8.9.2 Joint life and last survivor probabilities 8.9.3 Joint life and last survivor annuity and insurance functions 8.9.4 An important special case: independent survival models Transitions at specified ages xi 256 261 261 262 270 8.10 8.11 8.12 Pension mathematics 274 278 279 290 9.1 9.2 9.3 9,4 9.5 9.6 Introduction The salary scale function Setting the DC contribution The service table Valuation of benefits 290 290 291 294 297 306 9.6.1 9.6.2 Final salary plans Career average earnings plans 306 312 9.7 9.8 9.9 Funding plans 314 319 319 10 Interest rate risk 326 10.1 10.2 10.3 10.4 10.5 10.6 The yield curve Valuation of insurances and life annuities 10.3.1 Replicating the cash flows of a traditional non-participating product Diversifiable and non-diversifiable risk 10.4.1 Diversifiable mortality risk 10.4.2 Non-diversifiable risk Monte Carlo simulation 264 326 326 330 332 334 335 336 342 348 348 10.7 11 Emerging costs for traditional life insurance 353 11.1 11.2 Profit testing for traditional life insurance 353 353 11.2.1 11.2.2 The net cash flows for a policy Reserves 353 355 11.3 11.4 Profit measures A further example of a profit test 358 360

xii 12 13 14 Contents 11.5 11.6 Emerging costs for equity-linked insurance 12.1 12.2 Equity-linked insurance 12.3 Deterministic profit testing for equity-linked insurance 12.4 Stochastic profit testing 12.5 Stochastic pricing 12.6 Stochastic reserving 12.6.1 Reserving for policies wjth non-diversifiable risk 12.6.2 Quantile reserving 12.6.3 CTE reserving 12.6.4 Comments on reserving 12.7 12.8 Option pricing 13.1 13.2 13.3 13.4 13.5 13.6 Introduction The 'no arbitrage' assumption Options The binomial option pricing model 13.5.1 Assumptions 13.5.2 Pricing over a single time period 13.5.3 Pricing over two time periods 13.5.4 of the binomial model option pricing technique The Black-Scholes-Merton model 13.6.1 The model 13.6.2 The Black-Scholes-Merton option pricing formula 13.7 13.8 Embedded options 14.1 14.2 14.3 14.4 Introduction Guaranteed minimum maturity benefit 14.3.1 Pricing 14.3.2 Reserving Guaranteed minimum death benefit 14.4.1 Pricing 14.4.2 Reserving 369 369 374 374 374 375 384 388 390 390 391 393 394 395 395 401 401 401 402 403 405 405 405 410 413 414 414 416 427 428 431 431 431 433 433 436 438 438 440

Contents 14.5 Pricing methods for embedded options 444 14.6 Risk management 447 14.7 Emerging costs 449 14.8 457 14.9 458 A Probability theory 464 A. 1 Probability distributions 464 A. 1.1 Binomial distribution 464 A. 1.2 Uniform distribution 464 A. 1.3 Normal distribution v 465 A. 1.4 Lognormal distribution 466 A.2 The central limit theorem 469 A.3 Functions of a random variable 469 A.3.1 Discrete random variables. 470 A.3.2 Continuous random variables 470 A.3.3 Mixed random variables 471 A.4 Conditional expectation and conditional variance 472 A.5 473 B Numerical techniques 474 B.I Numerical integration 474 B. 1.1 The trapezium rule 474 B.I.2 Repeated Simpson's rule 476 B.1.3 Integrals over an infinite interval 477 B.2 Woolhouse's formula 478 B.3 479 C Simulation 480 C.I The inverse transform method 480 C.2 Simulation from a normal distribution 481 C.2.1 The Box-Muller method, 482 C.2.2 The polar method ' 482 C.3 482 References 483 Author index 487 Index 488 xiii