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Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania
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Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Dec 22, 2015

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Page 1: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Using Utility Theory for Describing Best Estimate

Reserves

Mark W. Littmann

1998 Casualty Loss Reserve SeminarPhiladelphia, Pennsylvania

Page 2: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

“Best” - as an adjective

Superlative form of “good” Surpassing all others in excellence,

achievement, or quality Most satisfactory, suitable, or useful;

most desirable

Page 3: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Utility Theory Framework

Under certainty Under uncertainty

Page 4: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Relevance for Reserving

Utility is about preferences Decision making is about maximizing

utility Different parties will have different

preferences for different reserve estimates

Page 5: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Relevance for Reserving

Utility of a reserve amount is a function of the party’s:– relationship to the reserves– motivations and self-interests

Page 6: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Parties with an Interest in Reserves Reserving actuary Regulators Auditors Shareholders and investors Wall Street analysts and rating agencies Senior management

Page 7: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

View of an Actuary

Seeks the right answer With a degree of conservatism Does not forget prior estimate(s)

Page 8: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Actuary’s Utility Curve

0

20

40

60

80

100

120

Low Mid-point

A High

Page 9: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Actuary’s Utility Curve

0

20

40

60

80

100

120

Low Mid-point

A High

Page 10: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Actuary’s Utility Curve

0

20

40

60

80

100

120

Low Mid-point

A High

Page 11: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Actuary’s Utility Curve

0

20

40

60

80

100

120

Low Mid-point

A High

Page 12: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

View of a Regulator

Ensure that policyholders’ and claimants’ demands are satisfied; that is, maintain solvency

Prudence and conservatism Greater reserves are preferable,

because bad outcomes need to be protected against

Page 13: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Regulator’s Utility Curve

0

20

40

60

80

100

120

140

Low Mid-point

High

Page 14: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

View of an Auditor

Overall financial statements Interaction between balance sheet and

income statement Materiality considerations Movements within a range of

reasonable estimates

Page 15: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Auditor’s Utility Curve

0

20

40

60

80

100

120

140

Low Mid-point

High

Page 16: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

View of Shareholders and Investors Do not like surprises Consistency in earnings growth is

rewarded Sometimes a 1-time large hit is rewarded Maximum utility is assigned to the

reserve that maximizes the valuation of the enterprise

Page 17: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

View of Wall Street Analysts and Rating Agencies Objective is to assess financial strength

and ability to generate future earnings Maximum utility is associated with the

“right answer,” perhaps anticipating an action before it happens

Page 18: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

View of Management -Public Company Must balance myriad of interests Different members of management may

have different views– claims, underwriting, finance, executive

To set a formal policy or not?

Page 19: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Public Company Management’s Utility Curve

0

20

40

60

80

100

120

Low Mid-point

High

Page 20: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

View of Management -Private Company Reduced pressures from outside parties May focus on strength of balance sheet May focus on maximizing dividend

potential May consider earnings stream in

anticipation of a public offering

Page 21: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Private Company Management’s Utility Curve

0

20

40

60

80

100

120

Low Mid-point

High

Page 22: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Company Management - New Faces Utility of reserve estimates in year-1

may be influenced by circumstances surrounding the change

Page 23: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Decision Process

Can only record one amount Must integrate the relative preferences Relative power of the parties Relative shapes of utility curves Influence of absolute constraints

Page 24: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Example

1996 basically an average year Pressure to show better results in 1997 Slight deterioration in actuarial reserve

estimates

Detailed background contained in the paper

Page 25: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Actuary’s Utility Curve

0

50

100

150

200

250

82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98

Actuary

Actuary's Max Utility

Page 26: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Management Utility Curve

0

50

100

150

200

250

82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98

Management

Management's Max Utility

Page 27: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Aggregate Utility Curve

0

50

100

150

200

250

82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98

Aggregate Management Actuary

Actuary's Max Utility

Management's Max Utility

AggregateMax Utility

Page 28: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Summary

A best-estimate reserve is the value for which the aggregate utility of the interested parties is maximized.

Page 29: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Closing Remarks

What is “Best?” What is “Fair?” Utility theory framework is useful Utility curves vary by party and may

vary over time Aggregation function of utility curves

Page 30: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Closing Remarks

What is “Best?” What is “Fair?” Utility theory framework is useful Utility curves vary by party and may

vary over time Aggregation function of utility curves

The Negotiation Process

Page 31: Using Utility Theory for Describing Best Estimate Reserves Mark W. Littmann 1998 Casualty Loss Reserve Seminar Philadelphia, Pennsylvania.

Discussion