27
Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

  • View
    216

  • Download
    3

Embed Size (px)

Citation preview

Page 1: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

Implications of Underwriting DecisionsTWUC April 4, 2011

Doug Ingle, FALU, FLMIVice President Underwriting Research

Page 2: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice 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

2

Page 3: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

3Underwriting Decision Implications3

Page 4: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

4Underwriting Decision Implications4

Page 5: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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!

5Underwriting Decision Implications5

Page 6: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

6Underwriting Decision Implications6

Page 7: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

Underwriting Decision Implications7

Page 8: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

8Underwriting Decision Implications8

Page 9: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

Compare

Death Rate in the US Population• 1999-2001 Decennial Life Tables1

2001 VBT (Valuation Basic Table)2

• SOA Life Insurance Industry Table

9

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

Underwriting Decision Implications9

Page 10: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

Comparison of Death Rates

10

3The VBT 2001 displays duration 1 Male Composite ANB

41999-2001 Decennial Table 2 Males

Underwriting Decision Implications10

Page 11: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

11

*Assumes no antiselection and all must purchase insurance

Underwriting Decision Implications11

Page 12: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

Convert that to a Rating (Age 25)

12

US Population = 1.33 Insured Population = 0.39

• In other words, that would be like rating all 1,000 applicants ~ +250 (Table 10)

Underwriting Decision Implications12

Page 13: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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)

13Underwriting Decision Implications13

Page 14: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

14Underwriting Decision Implications14

Page 15: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

What do the 2 Survival Curves Look Like?

Underwriting Decision Implications15

Note the Y-axis After 10 years out of 1,000 people;994 of SOA people survive986 of US Population survive

Page 16: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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?

Underwriting Decision Implications16

Page 17: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

Underwriting Decision Implications17

Page 18: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

Risk Class Distribution by Age5

Underwriting Decision Implications18

5Woodman, Journal Ins Med1990:22(2);98-101

Page 19: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

19Underwriting Decision Implications19

Page 20: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

MAGNITUDE

Magnitude = Debits

20Underwriting Decision Implications20

Page 21: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

21Underwriting Decision Implications21

Page 22: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

22Underwriting Decision Implications22

6Mast,J Cost-Benefit Analysis of Underwriting Requirements Intermediate Non-Medical LifeInsurance Underwriting ALU 202 1st edition. 2006

Page 23: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

23Underwriting Decision Implications23

Page 24: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

24Underwriting Decision Implications24

Page 25: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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

25Underwriting Decision Implications25

Page 26: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

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”

26Underwriting Decision Implications26

Page 27: Implications of Underwriting Decisions TWUC April 4, 2011 Doug Ingle, FALU, FLMI Vice President Underwriting Research

Thank You