Presentation to Younger Members Convention 1 December 2003 ANNUITANT MORTALITY AND LONGEVITY RISK Stephen Richards Head of Mortality Risk Prudential.

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Presentation transcript:

Presentation to Younger Members Convention 1 December 2003 ANNUITANT MORTALITY AND LONGEVITY RISK Stephen Richards Head of Mortality Risk Prudential

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 2 INTRODUCTION Key player in individual and bulk annuity markets in U.K. Longevity risk management critical Dedicated three-man “Mortality Risk Unit” Major contributor to CMIB data

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 3 CONTENTS Mortality transition Mortality improvements Rating factors -Socio-economic group -Gender Open discussion

MORTALITY TRANSITION

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 5 MORTALITY TRANSITION ELT ELT

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 6 MORTALITY TRANSITION: Compression Mortality compression occurs when the ages at death become increasingly concentrated in a narrower range. A lack of mortality compression is an indicator of premature deaths. Mortality compression differs substantially between even developed countries, with large differences even between genders within a country.

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 7 MORTALITY TRANSITION: Compression C50 is the shortest age range in which 50% of deaths occur. Mortality compression appears to have stopped in England and Wales, although the modal age at death is still increasing. Mortality compression is both more pronounced and still ongoing in Continental European countries. Source: Kannisto - C50

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 8 MORTALITY TRANSITION: Compression Source: Kannisto

MORTALITY IMPROVEMENTS

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 10 MORTALITY IMPROVEMENTS Age 60 Age 70 Age 80

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 11 MORTALITY IMPROVEMENTS Source: GAD interim life tables, comparing with

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 12 MORTALITY IMPROVEMENTS Source: GAD interim life tables, comparing with

RATING FACTORS

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 14 RATING FACTORS: Quiz A. Adult height B. Parents’ at age below 70 C. Leg length at age 15 D. Month or season of birth Three of the following are predictors of future mortality experience. Only one says nothing - good or bad - about your life expectancy. Which is the odd one out?

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 15 RATING FACTORS It is crucial to know how long an annuitant may live. A rating factor explains variation in life expectancy. Traditional rating factors are age and gender. Less common rating factors include purchase price and fund source. There is a very wide choice of additional rating factors…

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 16 RATING FACTORS: The obvious…and others Other obvious rating factors include: -Social class -Occupation -Geography -Smoking status -Diet While some slightly less obvious rating factors include: -Lifespan of mother -Annuity options -Marital status -Height

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 17 RATING FACTORS: The illegal…to the bizarre Some potential rating factors are illegal: -Genetic markers -Race or ethnicity -Religion -Sexual orientation -Gender? While some significant rating factors are little short of bizarre: -Month or season of birth -Birth order -Age of father at conception -Leg length

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 18 RATING FACTORS: Economics Perfect risk classification is, however, not wanted. Rating factors must be economic (cost-benefit trade-off). Actuarial risk classification aims to cheaply and accurately classify individuals into reasonably homogeneous groups. Many of these rating factors are statistically significant… …but they are not all economically useful.

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 19 RATING FACTORS: Explanatory power Rating factorVariation explained Age 80% Gender 7% Lifestyle/class 2% Size 0.7% Policy type 0.4% Total 90% Source: Prudential figures Some rating factors for life expectancy:

SOCIO-ECONOMIC GROUP

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 21 SOCIO-ECONOMIC GROUP Membership of a particular socio-economic group does not cause mortality differentials… …but it is correlated with behaviours which do: -smoking -diet and drinking habits -other lifestyle factors -income and wealth

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 22 SOCIO-ECONOMIC GROUP Many ways to classify people into socio-economic group: -income -education level -occupation -housing tenure -car ownership ONS 1 Longitudinal Survey uses occupation. Class I (professional) to class V (unskilled), with III (skilled) split into IIIN (non-manual) and IIIM (manual).

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 23 SOCIO-ECONOMIG GROUP: Life expectancy Source: ONS Longitudinal Study I II IIIN IIIM IV V

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 24 SOCIO-ECONOMIC GROUP: Differentials Source: Adapted from ONS Longitudinal Study I II IIIM IV V

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 25 SOCIO-ECONOMIC GROUP: Improvements Source: Adapted from ONS Longitudinal Study

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 26 QUIZ A. Mortality improvements (CMIR17 v. long cohort) B. Gender C. Socio-economic group We know of the importance of mortality improvements, gender and socio-economic group in longevity and annuity pricing. But which is most important?

GENDER

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 28 GENDER: EU Draft Directive On 5th November 2003 the European Commission issued a draft directive under Article 13. Covers gender equality of access to goods and services Gender-rated insurance declared contrary to Article 13. Justification centred on annuities and life expectancy. The “justification” is a string of falsehoods and unsubstantiated claims…

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 29 GENDER: EU Draft Directive “There are a number of studies that show that sex is not the main determining factor for life expectancy.” Age is the main factor. Gender is the second-most important factor in every EU member state.

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 30 GENDER: EU Draft Directive “Other factors are shown to be much more relevant, such as marital status, socio-economic factors, […] and nutritional habits.” These are undeniably important. However, they actually apply more to men than women: Mortality of the recently-widowed women does not rise nearly as much as that of recently-widowered men Gender differences actually widen for “lower” socio- economic groups.

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 31 GENDER: EU Draft Directive “This leads one to the conclusion that gender differences in life expectancy are not purely biological.” Oestrogens protect circulatory system… …while androgens (testosterone) damages it Males more susceptible to diet-related cancers Males have weaker immune systems

01/12/2003Copyright (c) 2003 Prudential. All rights reserved. Copying prohibited. 32 GENDER: EU Draft Directive “The overwhelming majority of men and women (about 86%) die around the same age.” US statistic, not from any EU member state! Applies to overlap in age at death Statistic is misleading, but linked to compression Varies by EU member state (c.f. France and U.K.) Many EU states have a lower statistic

OPEN DISCUSSION