21
Enterprise Risk Management, Insurer Value Maximization, and Market Frictions Professor Michael Sherris CEPAR, AIPAR and Australian School of Business UNSW, Sydney, Australia Bob Alting von Gesau Memorial Prize AFIR Colloquium Madrid 19-22 June 2011

Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

  • Upload
    others

  • View
    4

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Enterprise Risk Management, Insurer Value

Maximization, and Market Frictions

Professor Michael Sherris

CEPAR, AIPAR

and

Australian School of Business

UNSW, Sydney, Australia

Bob Alting von Gesau Memorial Prize

AFIR Colloquium Madrid

19-22 June 2011

Page 2: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Enterprise Risk Management

� ERM

– Managing risk at the enterprise level in order to – Managing risk at the enterprise level in order to add value to the firm stakeholders.

� Risk based capital financing volatility rather than real or financial capital used to fund productive activity.

� Risk management focuses mostly on risk based capital.capital.

� Volatility impacts value through frictional costs such as taxes, agency, and financial distress costs.

Page 3: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Insurers and Reinsurers: Capital and Risk Management

� Insurers and banks hold risk based capital to cover

enterprise risks (aggregate market, credit, enterprise risks (aggregate market, credit,

insurance, and operational risks).

� Regulatory requirements such as Basel II,

Solvency II, and APRA Prudential Standards have

minimum requirements.

� Limited risk mitigation through derivatives, Limited risk mitigation through derivatives,

reinsurance, and securitization.

� Insurers and banks generally hold capital at levels

well in excess of regulatory capital.

Page 4: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Risk Based Capital and Value Maximization

� Under perfect market assumptions

– No frictional costs and perfectly competitive – No frictional costs and perfectly competitive markets.

– No optimal risk based capital.

� With frictional costs, holding excessive capital is not consistent with value maximisation or frictional cost minimization.

Possible explanations:� Possible explanations:

– Imperfectly competitive product market.

– Customer preference for financial quality.

Page 5: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Literature

� Panning (2006) develops a firm value maximizing model for an insurer based on value added defined as the for an insurer based on value added defined as the present value of future after-tax profits allowing for insurer default in excess of surplus.

� Zanjani (2002) formally develops a firm value maximizing model where capital is costly to hold because of frictional costs and policyholders have inelastic demand and care about the financial quality of the insurer.

� D'Arcy and Gorvett (1998) develop a hypothetical but representative insurer in order to examine the impact of varying assumptions on underwriting profit margins.

Page 6: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Literature

� Cummins, Lin, and Phillips (2006) find strong evidence that insurance prices are inversely related to insolvency that insurance prices are inversely related to insolvency risk as measured by A.M. Best's financial ratings.

� Cummins and Danzon (1997) analyze firm specific and industry levels of capital and the relationship between prices and loss shocks. They find prices are positively related to capital supply and weak evidence that prices increase in response to an internal negative reduction to capital.capital.

� Doherty and Garven (1986) develop a single-period option pricing framework for insurer pricing and capitalization including default risk and taxation.

Page 7: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Insurer Value Maximizing Model

� Single-period model of a P&C insurer:

– Insurer writes multiple lines of business with – Insurer writes multiple lines of business with claims paid at the end of the period.

– Similar model set up to Zanjani (2002) and value maximisation similar to Panning (2006)

� Includes frictional costs.

� Imperfectly elastic demand.� Imperfectly elastic demand.

� Policyholders care about financial quality.

� Assets and liabilities are joint log-normal (Sherris and van der Hoek, 2006).

Page 8: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Maximizing Enterprise Value Added (EVA)

Page 9: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Price elasticity assumption

� Allowance is made for the number of policies sold with premium

revenue at time 0 for sales from the N lines of business revenue at time 0 for sales from the N lines of business

determined by

� is assumed to be a function of price, default risk, and

bankruptcy costs

P0 = ∑i=1

N

p i,0q i,0

, 0iq

qi,t = qpi,t,d t, f = α i max1 + βipi,t +γi1 + fdt, 0.

Page 10: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Data and Calibration

� Business portfolio:

– Motor, household, fire & ISR, liability, and CTP insurance.insurance.

� Data sources (1997-2001):– APRA's Half Yearly GI Bulletin, business volumes and

expenses.

– Tillinghast Risk Margin Analysis, CVs and correlations.

� Price elasticity of demand:– Personal, commercial, or compulsory.

� Solved and optimized using MATLAB and a direct search method.

Page 11: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

The Impact of Market Frictions

� Sensitivity analysis:

– Taxes, agency costs, and bankruptcy costs.– Taxes, agency costs, and bankruptcy costs.

� What is the impact?

– Capitalization and financial quality.

– Prices by line of business.

– Shareholder and policyholder wealth.

Page 12: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Lower value maximizing capital for higher tax rates

200% 1.0%183%

40%35% 32% 30%

50%

100%

150%

200%

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.2%

0.4%

0.6%

0.8%

1.0%

Defa

ult

Rati

o

35% 32% 30% 28% 26%

0%

1 2 3 4 5 6 7

Tax Rate

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.0%

0.2%

Economic Capital Default Ratio

Page 13: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Lower optimal capital for higher agency costs

183%200% 1.0%

183%

26%

50%

100%

150%

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.2%

0.4%

0.6%

0.8%

Defa

ult

Rati

o

S&P Credit Rating: BBB

26%22% 19% 17% 15%

0%

0% 2% 4% 6% 8% 10%

Agency Costs of Capital

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.0%

0.2%

Economic Capital Default Ratio

Page 14: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Higher optimal capital for increasing bankruptcy costs

100% 1.0%

26% 28% 29% 31% 31% 32%

20%

40%

60%

80%

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.2%

0.4%

0.6%

0.8%

Defa

ult

Rati

o

0%

20%

0% 10% 20% 30% 40% 50%

Bankruptcy Costs

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.0%

0.2%

Economic Capital Default Ratio

Page 15: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Shareholders bear most of the frictional costs

12%

4%

6%

8%

10%

12%

Eco

no

mic

Pro

fit

Marg

in

Motor

Household

Fire & ISR

Liability

CTP

0%

2%

0% 2% 4% 6% 8% 10%

Agency Costs of Capital

Eco

no

mic

Pro

fit

Marg

in

Page 16: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Price elasticity of demand

LinesPrice Elasticity of

Demand

Default Risk

Elasticity of Demand

� No industry studies available. Published research studies

LinesDemand Elasticity of Demand

Motor 15.6 0.48

Household 16.4 0.50

Fire & ISR 26.1 0.78

Liability 24.8 0.74

CTP 11.7 0.37

� No industry studies available. Published research studies needed.

� We assume the insurance industry is relatively competitive.

� Elasticities drive profit margins, more than risk loading.

Page 17: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Frictions reduce shareholder and policyholder wealth

100%

94%100% 100%

89%

83%

78%

72%

67%

40%

60%

80%

Red

ucti

on

in

EV

A

40%

60%

80%

Red

ucti

on

in

Eco

no

mic

Valu

e o

f L

iab

ilit

ies

EVA

Economic Liabilities

0%

20%

0% 5% 10% 15% 20% 25% 30%

Tax Rate

0%

20%

Red

ucti

on

in

Eco

no

mic

Valu

e o

f L

iab

ilit

ies

Page 18: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Asset-liability management (ALM)

100% 1.0%

37%33%

30%27%

21%

20%

40%

60%

80%

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.2%

0.4%

0.6%

0.8%

Defa

ult

Rati

o

0%

20%

-50% -20% 0% 20% 50%

Asset-Liability Correlation

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.0%

0.2%

Economic Capital Default Ratio

Page 19: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Policyholder default sensitivity

100% 1.0%

25%

30%33% 35% 36% 37%

20%

40%

60%

80%

100%

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.2%

0.4%

0.6%

0.8%

1.0%

Defa

ult

Rati

o

0%

20%

75% 100% 125% 150% 175% 200%

Default Sensitivity

Eco

no

mic

Cap

ital

as a

% o

f L

iab

ilit

ies

0.0%

0.2%

Economic Capital Default Ratio

Page 20: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Summary of Results

Taxes Agency Bankruptcy

� Market frictions generate optimal capital structure in risk

Capital structure ↓ ↓↓ ↑

Financial quality ↓ ↓↓ ↑

Pricing - - -

Policyholder value ↓ ↓↓ ↓

Shareholder value ↓↓ ↓ ↓

� Market frictions generate optimal capital structure in risk management and value maximization.

� ALM and risk management improves firm value.

� Policyholder preferences for financial quality supports higher optimal capital structures

Page 21: Enterprise Risk Management, Insurer Value Maximization ... · – Customer preference for financial quality. Literature Panning (2006) develops a firm value maximizing model ... management

Summary

� Value maximisation framework – considering both capitalization and pricing.capitalization and pricing.

� Cost of capital, pricing, and VaR. (Yow and Sherris, Geneva Papers, 2007)

� Frictional costs and imperfect demand in insurance markets are important determining factors for optimal risk based capital.

� More public research and deeper understanding is needed of price elasticity and policyholder preferences needed of price elasticity and policyholder preferences for financial quality.

� Further work on model analytics and alternative assumptions.