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Implications of Underwriting DecisionsTWUC April 4, 2011
Doug Ingle, FALU, FLMIVice President Underwriting Research
Underwriting Decision Implications
The information provided in this presentation does in no way whatsoever constitute legal, accounting, tax or other professional advice.
While Hannover Rückversicherung AG has endeavoured to include in this presentation information it believes to be reliable, complete and up-to-date, the company does not make any representation or warranty, express or implied, as to the accuracy, completeness or updated status of such information.
Therefore, in no case whatsoever will Hannover Rückversicherung AG and its affiliate companies be liable to anyone for any decision made or action taken in conjunction with the information in this presentation or for any related damages.
© Hannover Rückversicherung AG. All rights reserved. Hannover Re is the registered service mark of Hannover Rückversicherung AG.
Disclaimer
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We Look at the TreesManagement the Forest
Underwriting is about reviewing individual cases and classifying risk
Your results produce global strategy and underwriting philosophy for your company
Each Company’s philosophy is unique
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Risk Classification Answer
There really is no one “Right” answer just as there is no one set of “Preferred” rules for the whole industry
Think About it:
• For each of our Companies our Best Preferred Class is Based on Our Own Underwriting Rules Unique to Our Company
• Our Competitor’s Best Preferred Class Has Different Rules• Safe to Say: THERE IS NO ONE RIGHT ANSWER FOR WHAT A PREFERRED RISK
IS
Then, How can we all succeed?
Underwriting is the process of “Aligning an Underwriting Philosophy with an Actuarial Pricing Philosophy”
– When in sync, your company can be successful
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Underwriting is About the “Rare”
Most of the time We Don’t Find Anything!
Agent: Do you really need that ________(fill in the blank: blood, urine, APS, EKG) chances are you won’t find anything anyway!
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Premium 101
Premium is about the “Rare” 1,000 people all have $1,000 life insurance policies 1 out of 1,000 is expected to die next year
Question: How much money needs to be collected from each person to cover the payout? (Payout=$1,000)• $1.00
Question: How many are expected to live? • 999
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Premium 101
Prior Slide:• 1 out of 1,000 expected to die• “Double the mortality” means 2 out of 1,000 expected to die
– In our world that’s 100 debits or 200% of standard
So, What Happens When you Double the Mortality?
Question: How much money needs to be collected from each person to cover the payout? (Payout = $2,000)• $2.00
Question: How many are expected to live?• 998
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Underwriting: Rare is Important
If you don’t buy in to the philosophy that rare is important then……
To understand what we are entrusted to do• Let’s assume no underwriting• How many people are found by the underwriting process and avoided death claims
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Compare
Death Rate in the US Population• 1999-2001 Decennial Life Tables1
2001 VBT (Valuation Basic Table)2
• SOA Life Insurance Industry Table
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1Arias E, Curtin LR, Wei R, Anderson RN. United States decennial life tables for 1999–2001, United States life tables. National vital statistics reports; vol 57 no 1. Hyattsville, MD: National Center for Health Statistics. 2008.
2http://www.soa.org/research/individual-life/final-report-life-insurance-valuation.aspx
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Comparison of Death Rates
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3The VBT 2001 displays duration 1 Male Composite ANB
41999-2001 Decennial Table 2 Males
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Deaths and Premium
Age 25 expect 0.39 deaths per 1,000 applicants
How much money need to collect from 1,000 people to pay for death? • 39 ¢
How much would each person have to pay if there was no underwriting?*• $1.33
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*Assumes no antiselection and all must purchase insurance
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Convert that to a Rating (Age 25)
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US Population = 1.33 Insured Population = 0.39
• In other words, that would be like rating all 1,000 applicants ~ +250 (Table 10)
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Underwriting
Out of 1,000 applicants how much mortality is identified by the underwriting process?
• Death rate from 1.33 to 0.39• 1.33 – 0.39 = 0.94 (less than one person per thousand)
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Survival Comparison
How many expected to survive one year in underwritten vs non-underwritten population?
– If 0.39 per thousand die, that means 999.61 live– If 1.33 per thousand die, that means 998.67 live
The survival rate for the US population compared to the survival rate of the insured population is
Or a 0.09% lower survival rate
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What do the 2 Survival Curves Look Like?
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Note the Y-axis After 10 years out of 1,000 people;994 of SOA people survive986 of US Population survive
What’s Expected?
Have you ever heard this before?
• Most 65 year olds have high blood pressure• A lot of 70 year olds have a history of a heart attack• So, why would you rate what is normal for that age?
What percent of Applicants do we expect to issue without a Rating?
Does that vary by Age?
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Compare insured lives mortality to US Population Mortality
What percent of US population is insured lives mortality?
In other words:• (VBT mortality) / (US Population mortality)
– 0.39 / 1.33 = 29%– 0.35 / 1.80 = 19%
For mortality to be that much lower the insured lives health status cannot mirror the US general population
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Risk Class Distribution by Age5
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5Woodman, Journal Ins Med1990:22(2);98-101
Why do we Get Requirements?
Requirements are used to find the rare A hit (finding impairment) is just the starting point Requirement value is based on “Magnitude”
Small hit– From Super Preferred to Preferred
Big hit– From Super Preferred to Decline
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MAGNITUDE
Magnitude = Debits
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Question
Underwriting Budget for Requirements• Scrutinized by many• Easy to “see the money”
The rest of the equation pertains to the mortality impact the requirement has• Often not studied• Nor well understood
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The One Minute Requirement Study
The Value of Requirement ‘X’ Take a random sample of applicants (100)6
Requirement has value when it is a “surprise finding”• Surprise finding = Hit
Magnitude is based on number of debits found• More debits = More value
For many companies 1 debit = 1% increase in mortality
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6Mast,J Cost-Benefit Analysis of Underwriting Requirements Intermediate Non-Medical LifeInsurance Underwriting ALU 202 1st edition. 2006
The One Minute Requirement Study
Add up all the surprise debits found in the sample• For example:
• That’s 6 “hits” and 800 debits• Total number of people in sample = 100• Total debits/total number in study = 800/100• On average find 8 debits per application
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One Minute Requirement Study (Results)
If 1 debit = 1% increase in mortality then 8 debits means a 8% increase in mortality if that requirement no longer obtained
Done! Caveats:
• Assumes – No Antiselection– The intentional focus on mortality side of the equation alone
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What’s That Mean?
Use Financial Underwriting Background to answer that question
Common Profit Margins for Corporations• 5 – 10%
If Mortality increases by 8% erodes profits by that percent on the mortality component of the premium
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Take Homes
Not many people are found by underwriting especially at the younger ages
Yet the few deaths avoided have a major impact on what the remaining individuals would need to pay
Underwriting is about finding the “rare”
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Thank You