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Insurance 2020 Casualty Actuaries of the Mid-Atlantic Region May 21, 2020 James Lynch, FCAS MAAA, Chief Actuary and Senior Vice President, Research and Education Insurance Information Institute 110 William Street New York, NY 10038 Tel: 212.346.5533 [email protected] www.iii.org

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Page 1: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

Insurance 2020Casualty Actuaries of the Mid-Atlantic Region

May 21, 2020

James Lynch, FCAS MAAA, Chief Actuary and Senior Vice President, Research and Education

Insurance Information Institute 110 William Street New York, NY 10038 Tel: 212.346.5533 [email protected] www.iii.org

Page 2: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

The Financial Picture

2019 Was A Good Year

Page 3: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

3

U.S. Inflation-Adjusted Insured Cat Losses

*Aon estimate through April. 2010s is average of 2010 to 2019. All losses are Direct.

Sources: Property Claims Service, a Verisk Analytics business; Aon; Insurance Information Institute.

4138

80

111

51

24

8

1980s:$5 B

1990s: $15 B2000s: $25 B

2010s: $35 B

$0

$10

$20

$30

$40

$50

$60

$70

$80

$90

$100

$110

80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 10 12 14 16 18 20*

Bil

lio

ns

, 2

01

9 $

Average forDecade

Hurricane Andrew

WTC

Katrina, Rita, Wilma

2019 was a relatively mild year; 2020 faces pandemic, above-average hurricane forecast

Harvey, Irma, Maria

Page 4: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

4

P/C Insurance Industry Combined Ratio*

*Excludes Mortgage & Financial Guaranty insurers before 2014.Including M&FG, 2008=105.1, 2009=100.7, 2010=102.4, 2011=108.1; 2012:=103.2; 2013: = 96.1; 2014: = 97.0.

Sources: A.M. Best; ISO, a Verisk Analytics® business; I.I.I.

99.3

101.1

106.5

102.5

96.497.0

97.8

100.7

103.7

99.2 98.9

90

100

110

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

Joplin, Tuscaloosa Tornadoes

Sandy

3 Consecutive Years of U/W Profits; 1st

time since 1971-73

Hurricanes Harvey,

Irma, Maria

Page 5: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

5

Key sources of P/C insurer profits

Through third quarter.

Data are before taxes and exclude extraordinary items.

Source: NAIC data, sourced from S&P Global Market Intelligence.

$27.0

$41.7 $42.5 $41.4$48.7 $44.7 $45.0 $40.5

$50.2 $51.5 $50.7

-$2.4 -$5.2

-$33.7

-$6.1

$11.5$5.3 $8.4

-$0.4

-$19.8

$5.6 $6.4

-$50

-$30

-$10

$10

$30

$50

$70

09 10 11 12 13 14 15 16 17 18 19

Net investment gains Underwriting gains/losses

$ Billions

Strong capital gains, underwriting results lifted profits

Page 6: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

6

$5

8,1

71

$4

,28

9

$8

1,9

62

$3

,51

9

$6

9,2

39

$3

7,4

20

$6

0,6

08

$6

1,4

45

$0

$20,000

$40,000

$60,000

$80,000

$100,000

97

98

99

00

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

P/C Industry Net Income After Taxes*1997-2019

*Adjusted for inflation using the BLS CPI calculator, to 2019 dollarsSources: A.M. Best; ISO, a Verisk Analytics® business; Insurance Information Institute.

$ Millions, 2019 dollars

Page 7: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

The Personal Lines Picture

2020 Was Looking Good

Page 8: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

8

Direct Written Premium Growth By Year

Sources: NAIC data, sourced from S&P Global Market Intelligence.

5.9%

4.8%5.2%

7.8%

6.6%

2.7%

0%

1%

2%

3%

4%

5%

6%

7%

8%

9%

2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

HO/FO Personal Auto

HO writings more stable than auto, which grew in response to rising costs till recently.

Page 9: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

9

Personal Lines Results

Source: NAIC data, sourced from S&P Global Market Intelligence.

Personal auto has returned to underwriting profitability. Homeowners results depend on catastrophe season.

122%

91%

107%

104%

98%

106%

98%99%

90%

95%

100%

105%

110%

115%

120%

125%

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

Co

mb

ined

Rati

o

Homeowners Auto

Page 10: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

10

Loss Costs Have Tapered Off the Past 2 Years

Source: Fast Track Monitoring System.

The cost of accidents has tapered off in recent years

11.2%9.5%

2.9%

6.1%6.2%

1.6%

5.9% 6.5%

-7.9%-10.0%

-5.0%

0.0%

5.0%

10.0%

15.0%

Bodily Injury Property DamageLiability

PIP Collision Comprehensive

2015 to 2017 2017 to 2019

2 year change

36.0%

Page 11: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

11

Electronics: 40-50% of cost of vehicle

Pre-repair scan: $63

Post-repair scan: $93

Calibration labor: sublet at $150

OEM: 98% of camera/sensors

Auto Repair: Complexity GrowsMore Cool Stuff to Fix

* Property Damage Only.

SOURCES: “2019 Crash Course,” CCC Information Services; Ford Motor Co.;

More Parts, More Labor: Higher Costs

Electronics Add to Cost, Complexity

10.9 11.9

15.2

-

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

2001 2009 2018

Parts/Collision Claim on Current Year Car

28% Increase!

7

60

0 10 20 30 40 50 60

Boeing 787

Facebook

Ford F150

Millions of Lines of Code

150

Page 12: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

The Commercial Lines Picture

2020 Was Looking Good

Page 13: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

13

Commercial Lines Results

Source: NAIC data, sourced from S&P Global Market Intelligence.

Excellent workers comp results have more than made up for problems in auto, general liability.

108%

93%

103%

98% 98%

90%

92%

94%

96%

98%

100%

102%

104%

106%

108%

110%

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

Co

mb

ined

Rati

o

Page 14: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

14

Commercial Lines Rate Changes

Sources: Willis Towers Watson, MarketScout, Marsh.

Rates have been rising. Is it a hard market?

MarketScout

4.5%Willis

6%

Marsh

14%

-6%

-4%

-2%

0%

2%

4%

6%

8%

10%

12%

14%

16%

2013:Q

1

201

3:Q

2

201

3:Q

3

2013:Q

4

201

4:Q

1

201

4:Q

2

2014:Q

3

201

4:Q

4

201

5:Q

1

201

5:Q

2

201

5:Q

3

201

5:Q

4

201

6:Q

1

201

6:Q

2

201

6:Q

3

201

6:Q

4

201

7:Q

1

201

7:Q

2

201

7:Q

3

201

7:Q

4

201

8:Q

1

201

8:Q

2

201

8:Q

3

201

8:Q

4

201

9:Q

1

201

9:Q

2

201

9:Q

3

201

9:Q

4

202

0:Q

1

Page 15: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

15

Commercial Rate ChangesBy Line, 2020:Q1

Source: MarketScout.

4.5%4.0% 4.0% 4.0% 4.3% 4.5%

7.0%

-1.3%

6.3%

7.5%

4.5%

-2.0%

0.0%

2.0%

4.0%

6.0%

8.0%

Page 16: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

16

Key Trends(at Year-End)

Loss Development What’s Happening

2.6

0.6 0.1

(0.5)

3.5

(0.4)(0.3)

(7.3)

(4.5)

0.3

(8.0)

(6.0)

(4.0)

(2.0)

-

2.0

4.0

6.0

Industrywide Loss Development: $6 billion favorable

PA: Moderating frequency, some severity movement

WC: Frequency plunging

D&O: Securities litigation explosion (event driven)

EPLI: #Metoo

GL: Social inflation

CA: Social Inflation

Page 17: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

Social Inflation

An Actuarial Examination

Page 18: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

18

Social Inflation

A Good Definition

“a fancy term to describe rising litigation costs and their impact on insurers’ claim payouts, loss ratios, and, ultimately, how much policyholders pay for coverage.”

Actuarial Interpretation

“Excessive inflation in claims.”

Occurs when development defies key assumption: Loss Development is RV about stable mean

Coming to Terms

Page 19: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

19

Triple-I Analysis

Hypothesis: Rising LDFs → Social Inflation

Method:

Focus on Long-Tailed Liability Lines

– Minimizes Catastrophe’s Impact

– 12:120 LDF > 1.8 (Workers Comp)

– Included: Comm Auto Liability, MedMal, Other Liability, Product Liability

– Excluded: Personal Auto Liability, Workers Comp, Special Liability

Look for Rising LDFs

What We Studied and Why

Page 20: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

20

Upward Creep in Loss DevelopmentKey Assumption: LDF is RV about mean + inflation

Source: NAIC data, sourced from S&P Global Intelligence; Insurance Information Institute. Expected: 3-yr Straight Average.

Comm Auto LDFs 2-Year Expected vs. Actual

12 24 36 48

2009 1.34 1.14 1.08 1.03

2010 1.36 1.16 1.08 1.04

2011 1.40 1.16 1.08 1.04

2012 1.40 1.16 1.09 1.04

2013 1.41 1.18 1.10 1.04

2014 1.42 1.19 1.10 1.05

2015 1.45 1.18 1.11

2016 1.43 1.20

2017 1.44

1,1

10

1,3

18

1,5

46

1,5

96

2,1

36

1,4

55

1,6

67

1,9

28

2,0

12

2,2

81

-

500

1,000

1,500

2,000

2,500

2012 2013 2014 2015 2016

Accident Year

Expected Actual

12-36 Development ($ Millions)

Page 21: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

21

Social Inflation: The Toll

Sources: NAIC data sourced from S&P Market Intelligence; Insurance Information Institute.

-827

1,6561,852

1,6341,843

2,572

-$1,000

$0

$1,000

$2,000

$3,000

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

MillionsAdditions to Claim Reserves

Reductions from Claim Reserves

Reserve Development, Commercial Auto Liability

Page 22: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

22

It’s Not Just Auto12:36 Loss Development Factors by Year, Long-Tailed Lines

• Medical Malpractice Occurrence, Other Liability Claims-Made, Products Liability Occurrence, Products Liability Claims-Made.

Estimate assumes 24:36 Factor is straight average of previous three years.

Source: NAIC data, sourced from S&P Global Market Intelligence; Insurance Information Institute.

Commercial Auto MedMal Claims-Made

Other Liability Occurrence Other Long-Tailed Lines*

1.53

1.71

1.40

1.60

1.80

1.75

2.28

1.50

2.00

2.50

2.22 3.00

2.00

2.50

3.00 3.45

2.96

2.75

3.25

3.75

Page 23: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

23

Why Is It Happening?The Changing Legal Environment

Sources: Swiss Re Economic Insights, Burford Capital.

“Jackpot Justice” Litigation Financing

27.7030.74

41.75

54.33

0

10

20

30

40

50

60

2014 2015 2016 2017

$ m

illio

ns

Median, 50 Largest Jury Verdicts

7%

36%

0%

10%

20%

30%

40%

2013 2017

% of US Law Firms Using Litigation Financing

Litigation is a

financeable asset.- 68% of US Law Firms

Page 24: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

24

Why It Is HappeningWhy Social Inflation Hits Insurance

Sources: Bureau of Labor Statistics (via FRED), Gallup.

Overall Inflation Remains Steady

Who Solves Problems?

-0.3

3.1

2.4

1.8

-0.5

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

2009 2011 2013 2015 2017 2019

% C

ha

ng

e

CPI Change vs Year Earlier

30

Congress

11

24

Big Business

23

5

10

15

20

25

30

35

2004 2007 2010 2013 2016 2019

Confidence in Institutions

% Saying Great Deal/Quite a Lot

Page 25: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

25

Why Is It Happening?Social Trends Set the Stage

Sources: Wikipedia, Economic Policy Institute, Centers for Disease Control, Google Trends.

Big Payout Expectations

Dystopian Days

3

8

5

0

2

4

6

8

10

20

00

20

01

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

20

13

20

14

20

15

20

16

20

17

20

18

20

19

No. of $300M Lottery Jackpots22%

157%

343%

0%

100%

200%

300%

400%

1979 1989 1999 2009

% Chg, Real Income Since 79

Bottom 90% Top 1% Top 0.1%

78.2

78.978.7

78

78.5

79

2008 2014 2018

Life Expectancy at Birth

Dystopia

Utopia

5

35

65

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

Inte

rest O

ve

r T

ime (

12-M

o

Mov.

Avg)

Search Topic: Utopia vs Dystopia

Page 26: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

26

Summary

Healthy economy grew exposures

Falling frequency helped personal auto, workers comp

Low cat losses helped property lines

Social inflation a growing concern

2019 was a solid year for property/casualty insurers

Page 27: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

The Global Pandemic

An Unprecedented P/C Insurance Toll

Page 28: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

28

Direct Written Premium Growth By Year

Sources: NAIC data, sourced through S&P Global Market Intelligence; Blue Chip Economic Forecasts, May 2020.

All Lines

4.2%

Nominal GDP

4.0%

-4.6%

5.4%

-6%

-5%

-4%

-3%

-2%

-1%

0%

1%

2%

3%

4%

5%

6%

7%

2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021

Normally premium grows at about the same rate as the economy, which bodes ill for insurers this year.

Page 29: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

29

Quarterly* U.S. Real GDP Growth

*at an annual rateSources: Blue Chip Economic Indicators, May 2020.

-40.3%

-4.7%

2.1% 1.7%

-32.1%

11.6%8.8%

3.4%

-23.1%

26.6%

16.8%

6.1%

-45%

-30%

-15%

0%

15%

30%

2020:Q2 2020:Q3 2020:Q4 2021:Q1 2021:Q2 2021:Q3 2021:Q4

Bottom 10 Avg Median Top 10 Avg

Most economists predict a quick bounceback but GDP won’t reach a new high until 2022.

Page 30: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

30

COVID-19’s ImpactUnprecedented Spread of Loss, Deterioration of Exposure

Source: Willis Towers Watson, Insurance Information Institute..

Exposure Impact

Investment

Potential Loss Impact

2.0

0.6

0.3

0.7

0

0

0.2

22.7

4

2.6

27

1.7

0.8

92

0 50 100

BI

D&O

EPLI

GL

Mortgage

Political risk,credit, surety

WorkersCompensation

Billions of US$

Loss estimates range from $30B (≈ bad hurricane) to $140B (2-3 Katrinas)

$10.5B auto premium

Employment related exposures (GL, WC)

Stock prices, bond yields plunging

Lloyd’s estimate: $96B in investment losses

Page 31: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

31

Moody’s Seasoned AAA Corporate Bond Yields, Monthly

Sources: FRED, St. Louis Federal Reserve Bank https://fred.stlouisfed.org/series/AAA/119

3.9%

3.0%

2.4%

2.0%

2.2%

2.4%

2.6%

2.8%

3.0%

3.2%

3.4%

3.6%

3.8%

4.0%

4.2%

Jan-19 Mar May Jul Sep Nov Jan-20 Mar

Yield

Interest rates continue to decline, making the insurance ‘float’ less lucrative.

Page 32: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

32

Insurance Issues by Line of BusinessBefore the Pandemic and Now

2020 Forecast and Reforecast

Line Before the Pandemic Now

Property Trapped capital, rates Business interruption

Personal Auto Lower frequency, rates Less driving (but faster),

premium givebacks

D&O Event-driven securities class

actions, rates

Hindsight litigation of

securities filings

Cyber Public sector ransomware Hospital ransomware,

phishing

Commercial Auto Continuing deterioration Less driving, HOS rules

suspended

Workers Comp Falling frequency, solid profits Fewer exposures, first

responders

Page 33: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

3333

Policyholder Surplus

Sources: ISO, Insurance Information Institute.

($ Billions)

487

456

742

848

770

$400

$500

$600

$700

$800

$900

2006 2008 2010 2012 2014 2016 2018 2020-Q1

At year-end the industry had $1 of surplus for every $0.75 of NPW,the strongest claims-paying status in its history.

The P/C insurance industry entered 2020in exceptionally strong financial condition.

Page 34: P14228 - III PPT Template 4:3 · 2.4 1.8-0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 2009 2011 2013 2015 2017 2019 hange CPI Change vs Year Earlier 30 Congress 11 24 Big Business 23 5 10

Retroactive Business Interruption

An Existential Threat

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35

Stress Testing P/C Insurers

How Resilient Is the Industry?

Sources: NAIC data sourced from S&P Global Market Intelligence; Insurance Information Institute.

Billions of dollars

Critical LevelBelow This Amount, Industry Imperiled

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The Biggest Threat: Retroactive BI

51 51

102

153128

255

383

0

50

100

150

200

250

300

350

400

Katrina 2020BlackSwan

Low MidpointMonthlyRetro BI

High Low MidpointMonthly

BI AllFirms

High

Billions of dollars

94

Two Katrinas

per Month

Estimates dwarf other black swan scenarios

Source: Insurance Information Institute.

Five Katrinas

per Month

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37

Stress Testing P/C Insurers

How Resilient Is the Industry?

Sources: NAIC data sourced from S&P Global Market Intelligence; Insurance Information Institute.

Billions of dollars

Critical LevelBelow This Amount, Industry Imperiled

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38

Summary: COVID-19 Edition

Virtually all lines will be affected

Recession will dramatically decrease exposures and losses in several lines

Workers comp, D&O, GL and business interruption could face significant increases in claims

Retroactive BI would be an existential threat

Unprecedented

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