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Agenda. Session 35. Methodology Modeling Challenges Scenario Generation Aggregation Diversification

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Valuation Actuary Symposium Austin, TX www.ey.com/us/actuarial

INSURANCE & ACTUARIAL ADVISORY SERVICES

Session 35

Advanced Economic Reserves and Capital

Matthew Clark FSA, CFA

Agenda

ƒ Methodology

ƒ Modeling Challenges

ƒ Scenario Generation

ƒ Aggregation

ƒ Diversification

(2)

2

Methodology

Methodology Selection

ƒ Most organizations are implementing a

single economic capital methodology

– Statutory Balance Sheet

– Fair Value Balance Sheet

– Other

ƒ Multiple economic capital audiences

– Internal

– External

(3)

4

Methodology Challenges

ƒ Statutory Balance Sheet Approach

– Distribution of total assets required (TAR) is

not informative

– Stranded capital

– Consider including a cash balance approach

to gain insight into the redundancy of

reserves

– Limited number of scenarios requiring

additional capital

Methodology Challenges – Cont.

ƒ Fair Value Balance Sheet Approach

– Applying fair value mechanics can be a

challenge

– Difficult to reconcile results to existing metrics

– Defining risk margins

• Cost of Capital

• Percentile

(4)

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Modeling Challenges

Modeling Challenges

ƒ Runtime Considerations

ƒ Policyholder Behavior

ƒ Management Actions

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Runtime Considerations

ƒ How many scenarios is enough?

– Tail metrics

– Aggregation challenges

ƒ Cell Compression

– Accuracy of results

– Balance precision with practicality

ƒ Need to balance “shelf life” of the results

and the production time

Runtime Considerations – Cont.

ƒ Solutions:

– Perform sensitivity analysis on cell compression

– Note that the tail metric will impact the number of

cells and/or scenarios needed

– Consider impact across the distribution

– Balance the robustness of the population with the

entire process

– Focus on both the assets and liabilities

– Understand the value introduced by additional cells

versus the runtime

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Policyholder Behavior

ƒ Predicting policyholder behavior is difficult

in the tail events

ƒ Need to balance historic events with the

universe of possible events

ƒ Does a single dynamic assumption meet

your needs?

ƒ Accept the fact that policyholder behavior

is a difficult to predict

Policyholder Behavior – Cont.

ƒ Lapse Assumptions

– Dynamic equations lose functionality in the tail

– Realize that the focus may be on the extreme tail

events

– How does lapse activity impact mortality or

morbidity?

ƒ Premium Assumptions

– Premiums are not traditionally considered a dynamic

assumption

– Tail events where the product guarantees are rich

need to be considered

– Consider the impact of premium payments at both

ends of the distribution

(7)

12

Policyholder Behavior – Cont.

ƒ Solutions

– Perform sensitivity tests to understand the

policyholder behavior across the distribution

– Awareness of the limitations in your

policyholder behavior is important

– Consider optimal policyholder behavior

– Consider the perfect storm conditions

– Do not ingore the impact lapses might have

on other assumptions

Management Actions

ƒ Modeling management actions tends to

challenging

ƒ Need to balance historic actions with

emerging risk management platform

ƒ Note there is a difference between what

management can do versus what

management will do

ƒ Consider management actions across the

organization

(8)

14

Scenario Generation

Scenario Generation – Market Risks

ƒ Economic scenario considerations

– Are the market parameters generated in a

single generator?

– Are interest, equity and credit generated on a

consistent basis?

– Are credit charges consistent with credit

spreads?

– Does your generator regime switching?

– Understand the limitations of your generator

(9)

16

Scenario Generation – Non-Market Risks

ƒ Mortality and Morbidity Considerations

– Do you have a mortality generator?

– What parameters are being used?

• Trend

• Volatility

• Underwriting

• Catastrophe

– Consider calibration to tail events

– How sensitive are your results to the

non-market risks?

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Aggregation Techniques

ƒ Correlation Matrix

– Mix of business

– Tail considerations

• What point in the tail?

• What metric is being used?

– Black box

• What events contribute to the tail metrics

• Note the distribution is more important than a

single tail metric

Aggregation Techniques – Cont.

ƒ Integrated Scenarios

– Requires correlation assumptions

– Allows the user to understand the impact of

correlation assumptions

– Requires more scenarios than other

techniques

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20

Diversification

Diversification

ƒ Organizations are determined to allocate capital

back to business units/profit centers

ƒ How do you treat the diversification impact?

– Allocate all or part to the business unit?

– Allocate all to corporate?

ƒ How will diversification impact business

decisions?

– Pricing

– Sales

(12)

Economic Capital

Implementation Issues

Howard L. Rosen

Chief Insurance Risk Officer & Chief Actuary – Retail Life ING USFS

2007 V

aluation

A

ctuary

S

ymposium

Definition of Economic Capital

Implementation Issues

ING Responses

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Definition of Economic Capital (“EC”)

• Capital requirements are set to meet S&P requirements for a AA rated Insurer on a required total asset basis and have been defined as:

The amount of capital required to protect the market value of the liabilities with a 99.95% one-sided confidence over a 1-year time horizon

• Market Value of Liabilities (“MVL”) is the value at which the liabilities could be transferred to a willing, rational, diversified counterparty in an arms’ length transaction under normal business conditions • The risk that is captured in the capital also relates to uncertainties

beyond the 1-year period through the MVL

Risk Types Correspond To Sources Of Economic Loss

LIFE RISK

Mortality Deviation

OPERATIONAL RISK

Event Loss Deviation

BUSINESS RISK

Residual Earnings Deviation

MARKET RISK

Value at Risk

TRANSFER RISK

Unexpected Transfer Loss

CREDIT RISK

Unexpected Loss

Earnings Deviation due to variations in Credit Losses Earnings Deviation due to

inability to repatriate funds - immaterial for insurance

Earnings Deviation due to

changes in the Market Price or Liquidity Earnings Deviation due to changes in

Operating Economics (e.g. Volume, Margins or Costs) Earnings Deviation due to One-off Losses unrelated to Volume, Margins and Costs Earnings Deviation due to

unexpected changes in mortality rates

In ter-r isk di v e rs ification RISK Earnings Deviation Total Economic Risk

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4

Implementation Issues

• Cost • Processing Time • Volatility of Results • Definition of 1 – in – 2000 Event • Treatment of Taxes

• Treatment of “Lazy Capital” Charges • Credited Rates

• Diversification

• Level Playing Field ???

Implementation Issues

Cost • Issue(s) • New System • Hardware • Operating Environment • People • Conversion • Ongoing • ING Response • Prophet • Upgraded Machines • Grid Environment • Additional FTEs

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Implementation Issues

Processing Time

• Issue(s)

• 45 day Reporting Lag

• Need For Up-to-date Asset Files

• Delayed Input From Other Functional Areas • Need To Aggregate Results

• ING Response

• Replicating Portfolios For Assets & Liabilities • Interim Quarter Gross-ups

• ECAPs

Implementation Issues

Volatility Of Results

• Issue(s)

• Use of Risk Free Rates Creates Market Risk Volatility • Inconsistency With Retail Life Business Model • Methodology Improvements

• ING Response • LIVE WITH IT !

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8

Implementation Issues

One In 2000 Event

• Issue

• How Do You Define For Risk Capitals Not Subject To Stochastic Projection ? • ING Response • Arbitrary Sensitivities • Expense • Lapse

Implementation Issues

Treatment Of Taxes • Issue

• Not Currently Considered • Not Clear How To Reflect

• ING Response • Still Under Review

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Implementation Issues

Treatment Of Lazy Capital

• Issue

• Redundant Reserves Don’t Exist In MC Environment • LOC Or Other Charges Are Real

• ING Response

• Assume Borne By “Corporate” • Limited Or Unlimited ?

Implementation Issues

Credited Rates

• Issue(s)

• Real World Or Spread Off Of Risk Free? • Real World Inconsistent With Risk Free Rates

• Spread Off Of Risk Free Rates Inconsistent With Real Costs, CV, etc.

• ING Response

• Currently Use Real World

(18)

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Implementation Issues

Diversification

• Issue(s)

• How To Properly Reflect Benefits of Multiple • Risks Within Same Product

• Risks Within Same Business Unit • Risks Across (Global) Business Units

• ING Response

• Enormous Multidimensional Matrix Within ECAPS • Black Box Process

• Significant Reduction in EC • Hard To Conceptually Understand

• Potentially Inconsistent With Rating Agency Perspective

Implementation Issues

Level Playing Field ???

• Issue(s)

• Are We Consistent With Our Competitors? • Methodology

• Definitions

(19)

14

Implementation Issues

STAY TUNED

Implementation Issues

References

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