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(1)

Portfolio Choice with Life Annuities under

Probability Distortion

Wenyuan Zheng

James G. Bridgeman

Department of Mathematics

University of Connecticut

(2)

Outline

Introduction

Motivation

Literature Review

Model

Model Formulation

Theoretical Results

Numerical Results

Investment

Consumption

Annuitization Strategy

Conclusion

(3)

Outline

Introduction

Motivation

Literature Review

Model

Model Formulation

Theoretical Results

Numerical Results

Investment

Consumption

Annuitization Strategy

Conclusion

(4)

The Need for Behavioral Economics

I

Policyholder’s behaviors affect insurance companies’

operations

I

Behavioral Economics help understand policyholder’s

(5)

Probability Distortion

I

People overweight small probabilities and underweight

large probabilities

0 0.2 0.4 0.6 0.8 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Weighted Cumulative Probabilities

Distribution Function

(6)

Outline

Introduction

Motivation

Literature Review

Model

Model Formulation

Theoretical Results

Numerical Results

Investment

Consumption

Annuitization Strategy

Conclusion

(7)

Literature Review

I

Yarri (1965)

I

Optimal for an individual without a bequest motive to fully

annuitize

I

Milevsky and Young (2007)

I

Realistically incorporated mortality-contingent payout

annuities (e.g. DB plan)

I

Wang and Young (2012)

I

Commutable life annuities to maximize the lifetime utility

I

Young and Zariphopoulou (1999)

I

Derive stochastic differential equation for a distorted

(8)

Outline

Introduction

Motivation

Literature Review

Model

Model Formulation

Theoretical Results

Numerical Results

Investment

Consumption

Annuitization Strategy

Conclusion

(9)

Goal

I

Behavioral Economics

I

Probability distortion

I

Portfolio Choice

I

Investment, consumption and annuitization strategy

I

Continuous-time setting

I

Maximize the lifetime utility

(10)

Market

I

A riskless asset

I

A risky asset

I

Commutable life annuities

I

A single premium immediate annuity with a surrender

(11)

New Probability Distortion

I

Typical distortion function

I

w

(

p

) =

p

δ

(

p

δ

+(

1

p

)

δ

)

δ1

I

Why difficult to apply?

I

Hard to derive its stochastic differential equation

I

We propose a new distortion function

I

w

(

p

) =

1

1

(12)

Weibull Distribution

I

Why Weibull distribution for stock price?

I

Explicit hazard function

I

Original SDE

I

dX

s

= [

X

s

γ

+

γX

s

γ

β σ

β

β

]

ds

+ (

2

X

s

γ

β

+

1

σ

β

β

)

1 2

dB

s

I

Distorted SDE

I

dX

s

= [

X

s

γ

+

γX

s

γ

β σ

β

β

+

2

X

s

γ

(

1

+

2

δ

1

+

δ

Xsσβ

)]

ds

+

(

2

X

s

γ

β

+

1

σ

β

β

)

1 2

dB

s

I

β

: shape parameter

(13)

Outline

Introduction

Motivation

Literature Review

Model

Model Formulation

Theoretical Results

Numerical Results

Investment

Consumption

Annuitization Strategy

Conclusion

(14)

Model

I

Wealth dynamics

dW

s

= [

r

(

W

s

Π

s

)

Π

s

γ

+

γ

Π

s

γ

β σ

β

β

+

2

Π

s

γ

(

1

+

2

δ

1

+

δ

Πs σ β

)

C

s

+

A

s

]

ds

+ (

2

Π

s

γ

β

+

1

σ

β

β

)

1 2

dB

s

I

Value function

U

(

W

,

A

) =

sup

π

s

,

c

s

E

[

R

0

e

−(

r

+

λ

)

s

u

(

c

s

)

ds

|

W

0

=

W

,

A

0

=

A

]

(15)

Model

I

HJB equation

(

r

+

λ

)

U

= (

rW

s

+

A

s

)

U

w

+

max

π

s

{

[

r

Π

s

Π

s

γ

+

γ

Π

s

γ

β σ

β

β

+

2

Π

s

γ

(

1

+

2

δ

1

+

δ

Πs σ β

)]

U

w

+ Π

s

γ

β

+

1

σ

β

β

U

ww

}

+

max

c

s

(

c

1−γ s

1

γ

cU

w

)

(16)

Numerical Method

I

U

w

(i

,

j

+

1

) =

U

w

(i

,

j) + [W

(

2

)

W

(

1

)]

·

U

ww

(i

,

j

+

1

)

(17)

Parameters

I

r

=

0

.

04

I

λ

=

0

.

04

I

β

=

1

I

σ

=

5

I

γ

=

2

I

α

=

2

.

5

I

p

=

0

.

2

I

δ

=

2

(18)

Outline

Introduction

Motivation

Literature Review

Model

Model Formulation

Theoretical Results

Numerical Results

Investment

Consumption

Annuitization Strategy

Conclusion

(19)

Investment

0 500 1000 0 20 40 60 80 4.4 4.5 4.6 4.7 4.8 4.9 5 Wealth Investment Strategy Annuity

Investment

undistorted investment distorted investment

(20)

Investment

0 0.2 0.4 0.6 0.8 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Weighted Cumulative Probabilities

Distribution Function

Distorted Distribution Function

Fear of Large Loss

(21)

Investment

I

X

s

γ

+

γX

s

γ

β σ

β

β

+

2

X

s

γ

(

1

+

2

δ

1

+

δ

Xsσβ

)

>

0

−800 −700 −600 −500 −400 −300 −200 −100 0 100

Stochastic Differential Equation for Weibull Distribution

dx

g(x)+h(x) g(x) g(x)−h(x)

(22)

Outline

Introduction

Motivation

Literature Review

Model

Model Formulation

Theoretical Results

Numerical Results

Investment

Consumption

Annuitization Strategy

Conclusion

(23)

Consumption

0 500 1000 0 50 100 60 80 100 120 140 160 Wealth Consumption Strategy Annuity

Consumption

undistorted consumption distorted consumption

(24)

Consumption

0 10 20 30 40 50 0 5 10 15 20 25 30 Utility Function Consumption

Utility

Before Distortion (less risk averse)

(25)

Outline

Introduction

Motivation

Literature Review

Model

Model Formulation

Theoretical Results

Numerical Results

Investment

Consumption

Annuitization Strategy

Conclusion

(26)

Annuitization Strategy

Behavior

Utility

Buy

U(A+4,W-50)

Do nothing

U(A,W)

(27)

Annuitization Strategy

Undistorted Case

+

: buy

◦: do nothing

×

: surrender

0 200 400 600 800 1000 0 10 20 30 40 50 60 70 80

Annuity Buy/Surrender Behavior (undistorted)

Wealth

(28)

Annuitization Strategy

Distorted Case

+

: buy

◦: do nothing

×

: surrender

0 200 400 600 800 1000 0 10 20 30 40 50 60 70 80

Annuity Buy/Surrender Behavior (distorted)

Wealth

(29)

Annuitization Strategy

I

Need more annuities to against fear

I

Stop buying annuity at a higher level

I

Begin surrendering annuity at a higher level

I

Different

z

0

: critical ratio of wealth-to-annuity

I

An unique

z

0

in Wang and Young (2012)

I

Behavior pattern

Ann

uity

Surrender

Surrender

Do nothing

Do nothing

Do nothing

Buy

Buy

Wealth

−→

(30)

Illustration

W=500 A=62

No Distortion

Distortion

Stock

4.97

4.57

Bond

495.00

445.43

Consumption

138.42

145.36

Annuitization

Do nothing

Buy

One year later...

No Distortion

W=468 A=62

(31)

Illustration

W=1000 A=74

No Distortion

Distortion

Stock

4.96

4.57

Bond

995.04

995.43

Consumption

149.04

157.72

Annuitization

Surrender

Do nothing

One year later...

No Distortion

W=1030 A=70

(32)

Sensitivity Analysis

0 0.2 0.4 0.6 0.8 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Weighted Cumulative Probabilities (delta=2)

Distribution Function

Distorted Distribution Function

0 0.2 0.4 0.6 0.8 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Weighted Cumulative Probabilities (delta=5)

Distribution Function

(33)

Sensitivity Analysis

0 200 400 600 800 1000 0 10 20 30 40 50 60 70 80

Annuity Buy/Surrender Behavior (delta=2)

Wealth Annuity 0 200 400 600 800 1000 0 10 20 30 40 50 60 70 80

Annuity Buy/Surrender Behavior (delta=5)

Wealth

(34)

Conclusion

I

Probability distortion brings more fear

I

To against fear

I

Invest less on risky asset

I

Consume more

I

Need more annuity (also support more consumption)

I

Contribution of this work

I

A new distortion function

I

Weibull distribution for stock price

I

Annuitization behavior available for each pair of (Wealth,

(35)

References

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