35
Hartwig Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 1 AEGIS 2014 POLICYHOLDERS’ CONFERENCE UNCERTAIN TIMES: ECONOMIC & INSURANCE INDUSTRY OUTLOOK FOR 2014 AND BEYOND Robert P. Hartwig, Ph.D., CPCU President & Economist Insurance Information Institute AEGIS 2014 POLICYHOLDERS’ CONFERENCE Property Casualty Insurance Industry: Financial Update 2013 was a welcome respite from near-record catastrophe activity 2014: too soon to tell

Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

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Page 1: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 1

AEGIS 2014POLICYHOLDERS’ CONFERENCEAEGIS 2014POLICYHOLDERS’ CONFERENCE

U N C E R T A I N T I M E S : E C O N O M I C & I N S U R A N C E I N D U S T R Y O U T L O O K F O R 2 0 1 4 A N D B E Y O N D

Robert P. Hartwig, Ph.D., CPCUPresident & EconomistInsurance Information Institute

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Property Casualty Insurance Industry:Financial Update

2013 was a welcome respite from near-record catastrophe activity

2014: too soon to tell

Page 2: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 2

AEGIS 2014POLICYHOLDERS’ CONFERENCE

P/C Industry Net Income after Taxes

2005 ROE*= 9.6% 2006 ROE = 12.7% 2007 ROE = 10.9% 2008 ROE = 0.1% 2009 ROE = 5.0% 2010 ROE = 6.6% 2011 ROAS1 = 3.5% 2012 ROAS1 = 5.9% 2013 ROAS1 = 10.3% 2014 ROAS1 = 8.4%

$14,

178

$5,8

40

$19,

316

$10,

870

$20,

598

$24,

404 $3

6,81

9

$30,

773

$21,

865

$20,

559

-$6,970

$3,0

46

$30,

029

$38,

501

$44,

155

$65,

777

$62,

496

$3,0

43

$28,

672

$35,

204

$19,

456 $3

3,52

2

$63,

784

$13,

654

-$10,000

$0

$10,000

$20,000

$30,000

$40,000

$50,000

$60,000

$70,000

$80,000

91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13

14:Q

1

Net income rose strongly (+81.9%) in

2013 vs. 2012 on lower CATs, capital gains

$ Millions

2014 is off to a slower start

ROE figures are GAAP; 1Return on avg. surplus. Excluding Mortgage & Financial Guaranty insurers yields an 8.2% ROAS through 2014:Q1, 9.8% ROAS in 2013, 6.2% ROAS in 2012, 4.7% ROAS for 2011, 7.6% for 2010 and 7.4% for 2009.Sources: A.M. Best, ISO; Insurance Information Institute

1991 – 2014:Q1

AEGIS 2014POLICYHOLDERS’ CONFERENCE

-5%

0%

5%

10%

15%

20%

25%

75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14

Profitability Peaks & Troughs in the P/C Insurance Industry

1977: 19.0%1987: 17.3%

1997: 11.6% 2006: 12.7%

1984: 1.8% 1992: 4.5% 2001: -1.2%

9 years

History suggests next ROE peak will be in 2016-2017

1975: 2.4%

2013 10.4%

2014:Q1 8.2%

1975 – 2014:Q1*ROE

*Profitability = P/C insurer ROEs. 2011-14 figures are estimates based on ROAS data. Note: Data for 2008-2014 exclude mortgage and financial guaranty insurers.Source: Insurance Information Institute; NAIC, ISO, A.M. Best.

Page 3: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 3

AEGIS 2014POLICYHOLDERS’ CONFERENCE

P/C profitability is both by cyclicality and ordinary volatility

-5%

0%

5%

10%

15%

20%

87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14*

ROE: Property / Casualty Insurance by Major Event

Hugo

Andrew

Northridge

Lowest CAT losses in 15 years

Sept. 11

Katrina, Rita, Wilma

4 Hurricanes

Financial crisis*

Record tornado losses

Sandy

Low CATs

1987 – 2014:Q1Percent

* Excludes Mortgage & Financial Guarantee in 2008 – 2014. 2014 figure is through Q1:2014. Sources: ISO, Fortune; Insurance Information Institute.

AEGIS 2014POLICYHOLDERS’ CONFERENCE

P/C Insurance Industry Combined Ratio

115.8

107.5

100.198.4

100.8

92.6

95.7

101.099.3

100.8

106.3

102.4

96.7 97.4

90

100

110

120

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

As recently as 2001, insurers paid out nearly $1.16 for every

$1 in earned premiums

Relatively low CAT losses,

reserve releases

Heavy use of reinsurance lowered

net losses

Relatively low CAT losses,

reserve releases

Avg. CAT losses, more

reserve releases

Higher CAT losses, shrinking reserve releases, toll of soft

market

Cyclical deterioration

Sandy impacts

Lower CAT losses

Best combined ratio since 1949 (87.6)

* Excludes Mortgage & Financial Guaranty insurers 2008--2012. Including M&FG, 2008=105.1, 2009=100.7, 2010=102.4, 2011=108.1; 2012:=103.2; 2013: = 96.1; 2014:Q1 = 97.3. Sources: A.M. Best, ISO.

2001 – 2014:Q1*

Page 4: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 4

AEGIS 2014POLICYHOLDERS’ CONFERENCE

A 100 Combined Ratio Isn’t What It Once Was

* 2008 -2014 figures are return on average surplus and exclude mortgage and financial guaranty insurers. 2014:Q1 combined ratio including M&FG insurers is 97.3; 2013 = 96.1; 2012 =103.2, 2011 = 108.1, ROAS = 3.5%.

Source: Insurance Information Institute from A.M. Best and ISO Verisk Analytics data.

Investment impact on ROEsCombined Ratio / ROE

97.5

100.6 100.1 100.8

92.795.7

101.299.5

101.0

106.5

102.4

96.7 97.4

14.3%15.9%

8.8%9.6%

12.7%10.9%

4.3%

7.4% 7.9%

4.7%6.2% 9.8%

8.2%

0%

5%

10%

15%

20%

1978 1979 2003 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014:Q185

90

95

100

105

110

Combined Ratio ROE*

Lower CATs helped ROEs in 2013

A combined ratio of about 100 generates an ROE of ~7.0% in 2012/13, ~7.5% ROE in 2009/10, 10% in 2005 and 16% in 1979

Combined ratios must be lower in today’s depressedinvestment environment to generate risk appropriate ROEs

AEGIS 2014POLICYHOLDERS’ CONFERENCE

1975-78 1984-87 2000-03

-5%

0%

5%

10%

15%

20%

25%

71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14

Net Premium Growth: Annual Change1971 – 2014:Q1

Percent

Net written premiums fell 0.7% in 2007 (first decline since 1943) by 2.0% in 2008, and 4.2% in 2009,

the first 3-year decline since 1930-33.

2014:Q1: 3.6%2013: 4.6%2012: +4.3%

Shaded areas denote “hard market” periodsSources: A.M. Best (historical and forecast), ISO, Insurance Information Institute.

Page 5: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 5

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Average Commercial Rate Change, All Lines,-0

.1%

-3.2

%

-5.9

%

-7.0

%

-9.4

%

-9.7

%

-8.2

%

-4.6

% -2.7

%

-3.0

%

-5.3

%

-9.6

%

-11

.3%

-11

.8%

-13.

3%

-12.

0%

-13.

5%

-12.

9% -11

.0%

-6.4

%

-5.1

%

-4.9

%

-5.8

%

-5.6

%

-5.3

%

-6.4

%

-5.2

%

-5.4

% -2.9

%-0

.1% 0.

9% 2.7% 4.

4%

4.3%

3.9% 5.

0%

5.2%

4.3%

3.4%

2.1%

1.5%

-16%

-11%

-6%

-1%

4%

9%

1Q04

2Q04

3Q04

4Q04

1Q05

2Q05

3Q05

4Q05

1Q06

2Q06

3Q06

4Q06

1Q07

2Q07

3Q07

4Q07

1Q08

2Q08

3Q08

4Q08

1Q09

2Q09

3Q09

4Q09

1Q10

2Q10

3Q10

4Q10

1Q11

2Q11

3Q11

4Q11

1Q12

2Q12

3Q12

4Q12

1Q13

2Q13

3Q13

4Q13

1Q14

KRW effect

Pricing as of Q1:2014 was positive for the 11th consecutive quarter

Q2 2011 marked the last of 30th consecutive quarter

of price declines

1Q:2004 – 1Q:2014Percent

Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.Source: Council of Insurance Agents & Brokers; Insurance Information Institute

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Change in Commercial Rate Renewals, by Line

0.0%

0.7% 0.9%

1.5% 1.7%2.0%

3.3%

4.1%

4.9%5.2%

0.0%

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

CommercialProperty

BusinessInterruption

Surety GeneralLiability

Umbrella Construction CommercialAuto

WorkersComp

EPL D&O

D&O increases are large than any other line, followed by EPL and Workers’ Comp

2014:Q1Percentage Change (%)

Major commercial lines renewed generally upward in Q4:2014 for the 11th consecutive quarter; D&O, employment practices and workers comp leading the way; lower cat losses and falling reinsurance prices have pressured property coverages lower; low interest rates still exert upward rate pressure

Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.Source: Council of Insurance Agents and Brokers; Insurance Information Institute.

Page 6: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 6

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Change in Commercial Rate Renewals, by Account Size

KRW : no lasting impact

Pricing turned negative in early 2004

and remained that way for 7 ½ years

Peak = 2001:Q4 +28.5%

Pricing turned positive in Q3:2011, the first increase in

nearly 8 years; Q1:2014 renewals were up 1.5%; some insurers

posted stronger numbers

Trough = 2007:Q3 -13.6%

1999:Q4 – 2014:Q1Percentage Change (%)

Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.Source: Council of Insurance Agents and Brokers; Barclay’s Capital; Insurance Information Institute.

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Cumulative Quarterly Commercial Rate Changes, by Account Size1999:Q4 – 2014:Q1

1999:Q4 = 100

Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.Source: Council of Insurance Agents and Brokers; Barclay’s Capital; Insurance Information Institute.

Despite 11 consecutive quartersof gains (Q1:2014 = +1.5%), pricing today is where is was in mid-2001

(around 9/11), suggesting additional rate need going forward, esp. in light

of record low interest rates

Page 7: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 7

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Policyholder Surplus$4

87.1

$496

.6

$512

.8

$521

.8

$517

.9

$515

.6

$505

.0

$478

.5

$455

.6

$437

.1

$463

.0

$490

.8

$511

.5

$540

.7

$530

.5

$544

.8

$559

.2

$566

.5

$559

.1

$538

.6

$550

.3

$570

.7

$567

.8

$583

.5

$586

.9

$607

.7

$614

.0

$624

.4

$653

.3

$662

.0

$400

$450

$500

$550

$600

$650

$700

06:Q

4

07:Q

1

07:Q

2

07:Q

3

07:Q

4

08:Q

1

08:Q

2

08:Q

3

08:Q

4

09:Q

1

09:Q

2

09:Q

3

09:Q

4

10:Q

1

10:Q

2

10:Q

3

10:Q

4

11:Q

1

11:Q

2

11:Q

3

11:Q

4

12:Q

1

12:Q

2

12:Q

3

12:Q

4

13:Q

1

13:Q

2

13:Q

3

13:Q

4

14:Q

1

2007:Q3Pre-crisis peak

Surplus as of 3/31/14 stood at a record high $662.0 billion

2010:Q1 data includes $22.5B of paid-in capital from a holding company parent for one insurer’s investment in a non-insurance business

The industry now has $1 of surplus for every $0.73 of NPW,close to the strongest claims-paying status in its history

Drop due to near-record 2011 CAT losses

The P/C insurance industry entered 2014in very strong financial condition

Sources: ISO, A.M .Best.

2006:Q4 – 2014:Q1$ Billions

AEGIS 2014POLICYHOLDERS’ CONFERENCE

US Insurance Mergers and Acquisitions, P/C Sector

(1) Includes transactions where a U.S. company was the acquirer and/or the target.Source: Conning proprietary database.

2002 – 2013 (1)$ Millions

$486

$20,353

$425

$9,264

$35,221

$13,615$16,294

3507.0$6,419

$12,458

$4,651 $4,397

0

10

20

30

40

50

60

70

80

90

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013$0

$5,000

$10,000

$15,000

$20,000

$25,000

$30,000

$35,000

$40,000

Transaction value Number of transactions

M&A activity in the P/C sector remains below pre-crisis levels

Page 8: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 8

AEGIS 2014POLICYHOLDERS’ CONFERENCE

US Insured Catastrophe Loss Update

2013 was a welcome respite from the high catastrophe losses in recent years

…but 2014 was the 5th costliest winter on record in the US

AEGIS 2014POLICYHOLDERS’ CONFERENCE

U.S. Insured Catastrophe Losses

$14.

2

$4.9 $8

.1

$38.

3

$8.9

$26.

8

$12.

8

$11.

1

$3.8

$14.

5

$11.

7

$6.2

$35.

2

$7.7

$16.

5

$34.

2

$74.

5

$10.

7

$7.6

$29.

6

$11.

6

$14.

6

$34.

1

$35.

5

$12.

9

$9.5

$0

$10

$20

$30

$40

$50

$60

$70

$80

89 90 91 92 93 94 95 96 97 98 99 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14*

$9.1 billion in insured CAT losses through June 30

$ Billions, $ 2013

*Through 6/30/14.Note: 2001 figure includes $20.3B for 9/11 losses reported through 12/31/01 ($25.9B 2011 dollars). Includes only business and personal property claims, business interruption and auto claims. Non-prop/BI losses = $12.2B ($15.6B in 2011 dollars.) Sources: Property Claims Service/ISO; Insurance Information Institute.

2013 was a welcome respite from 2012, the 3rd costliest year for insured disaster losses in US history. Longer-term trend

is for more—not fewer—costly events

2012 was the 3rd most expensive year ever for

insured CAT losses

Page 9: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 9

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Combined Ratio Points Associated with Catastrophe Losses0.

8 1.1

1.1

0.1

0.9

3.6

0.4

1.2

0.4 0.

8 1.3

0.3

0.4 0.7

1.5

10.

4

0.4 0.7

1.8

1.1

0.6 1.

4 21.

3 20.

50.

5 0.7

3

1.2

2.1

8.8

2.3

5.9

3.3

2.8

13.

62.

91.

65.

41.

63.

33.

38.

12.

71.

65

2.6

3.4

8.7 8.9

3.4

0

2

4

6

8

10

1960

1961

1962

1963

1964

1965

1966

1967

1968

1969

1970

1971

1972

1973

1974

1975

1976

1977

1978

1979

1980

1981

1982

1983

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

E

The catastrophe loss component of private insurer losses has increased sharply in recent decades

Catastrophe losses as a share of all losses reached

a record high in 2012

*2010s represent 2010-2013.Notes: Private carrier losses only. Excludes loss adjustment expenses and reinsurance reinstatement premiums. Figures are adjusted for losses ultimately paid by foreign insurers and reinsurers.Source: ISO (1960-2011); A.M. Best (2012E) Insurance Information Institute.

1960 – 2013*Combined Ratio Points

Avg. CAT loss component of the combined ratio by decade

1960s: 1.04 1990s: 3.39

1970s: 0.85 2000s: 3.52

1980s: 1.31 2010s: 6.1E*

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Top 16 Most Costly Disasters in US History, Insured Losses

$4.5

$5.6

$5.7

$6.8

$7.2

$7.6

$7.9

$8.8

$9.3 $11.

2

$13.

6 $19.

0 $24.

2

$24.

9

$25.

9

$49.

4

$0

$10

$20

$30

$40

$50

$60

Irene(2011)

Jeanne(2004)

Frances(2004)

Rita(2005)

Tornadoes /T-Storms

(2011)

Tornadoes /T-Storms

(2011)

Hugo(1989)

Ivan(2004)

Charley(2004)

Wilma(2005)

Ike(2008)

Sandy*(2012)

Northridge(1994)

9/11 Attack(2001)

Andrew(1992)

Katrina(2005)

Sources: PCS; Insurance Information Institute inflation adjustments to 2013 dollars using the CPI.

Hurricane Irene became the 12th most expensive hurricane in US history in 2011

2013 Dollars$ Billions

12 of the 16 most expensive events in US history have occurred over the past decade

Hurricane Sandy became the 5th

costliest event in US insurance history

Includes Tuscaloosa, AL,

tornado

Includes Joplin, MO, tornado

Page 10: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 10

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Top Ten States for Insured Catastrophe Losses

$1,995

$1,509

$1,190

$909 $907 $805 $773 $762

$677 $593

$0

$400

$800

$1,200

$1,600

$2,000

Oklahoma Texas Illinois Minnesota Colorado Mississippi Nebraska Georgia Indiana Louisiana

Source: The Property Claim Services (PCS) unit of ISO, a Verisk Analytics company.

2013$ Millions

Oklahoma led the country in insured CAT losses in 2013

due largely to severe tornado activity

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Top Five States by Insured Catastrophe Losses in 2012*

$9,756

$6,369

$2,318 $1,511 $1,440

$0

$2,000

$4,000

$6,000

$8,000

$10,000

$12,000

New York New Jersey Texas Kentucky Colorado

*Includes catastrophe losses of at least $25 million.Sources: PCS unit of ISO; Insurance Information Institute.

2012$ Billions

NY and NJ led the US in CAT losses in 2012 due to Sandy

Page 11: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 11

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Inflation Adjusted US Catastrophe Losses by Cause of Loss

41.1%

36.0%

6.4%

6.4%

4.8%3.8%1.4%

0.1%

1. Catastrophes are defined as events causing direct insured losses to property of $25 million or more in 2013 dollars.

2. Excludes snow.3. Does not include NFIP flood losses4. Includes wildland fires5. Includes civil disorders, water damage, utility disruptions and

non-property losses such as those covered by workers compensation.Source: ISO’s Property Claim Services Unit.

Hurricanes & tropical storms, $159.1

Fires (4), $5.5

Events involving tornadoes (2), $139.3

Winter storms, $24.7

Terrorism, $24.8

Geological events, $18.4Wind / hail / flood (3), $14.6 Other (5), $0.2

Wind losses by far cause the most catastrophe

losses, even if hurricanes / tropical storms are

excluded

Tornado share of CAT losses is rising

Insured CAT losses from 1993-2012 totaled $386.7

billion, an average of $19.3 billion per year or $1.6

billion per month

1994 – 20131

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Nu

mb

er

Geophysical (earthquake, tsunami, volcanic activity) Climatological (temperature extremes, drought, wildfire)Meteorological (storm) Hydrological (flood, mass movement)

Natural Disasters in the United States

22

19

81

6

There were 128 natural disaster events in 2013

1980 – 2013Number of Events (Annual Totals 1980 – 2013)

Source: MR NatCatSERVICE

Page 12: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 12

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Losses Due to Natural Disasters in the US

2013 CAT lossesOverall : $21.8BInsured: $12.8B

Indicates a great deal of losses are uninsured

(~40%-50% in the US) = growth opportunity

2013 losses were far below 2011 and 2012 and were

44% lower than the average from 2000-2012

1980 – 2013 (overall and insured losses)2013 Dollars, $ Billions

Source: MR NatCatSERVICE

Overall losses (in 2012 values) Insured losses (in 2013 values)

AEGIS 2014POLICYHOLDERS’ CONFERENCE

As of December 31, 2013Number

of Events FatalitiesEstimated OverallLosses (US $m)

Estimated Insured Losses (US $m)

Severe Thunderstorm 69 110 16,341 10,274

Winter Storm 11 43 2,935 1,895

Flood 19 23 1,929 240

Earthquake & Geophysical 6 1 Minor Minor

Tropical Cyclone 1 1 Minor Minor

Wildfire, Heat, & Drought 22 29 620 385

Totals 128 207 21,825 12,794

Natural Disaster Losses in the United States, by Type, 2013

Source: Munich Re NatCatSERVICE

$ Millions

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Top 16 Most Costly World Insurance Losses, 1970 – 2013*

$7.9 $8.2 $8.7 $8.8 $9.3 $9.7 $11.2$13.6 $13.6 $13.6

$19.0

$24.2 $24.9 $25.9

$39.1

$49.4

$0

$10

$20

$30

$40

$50

$60

Hugo(1989)

WinterStormDaria(1991)

ChileQuake(2010)

Ivan(2004)

Charley(2004)

TyphoonMirielle(1991)

Wilma(2005)

ThailandFloods(2011)

NewZealandQuake(2011)

Ike(2008)

Sandy(2012)

Northridge(1994)

WTCTerrorAttack(2001)

Andrew(1992)

JapanQuake,

Tsunami(2011)**

Katrina(2005)

*Figures do not include federally insured flood losses.Sources: Munich Re; Swiss Re; Insurance Information Institute research.

Insured losses, 2013 dollars$ Billions 5 of the top 14 most expensive catastrophes

in world history have occurred within the most recent four years (2010-2013)

Hurricane Sandy is now the 6th costliest event in global insurance history

2012 insured CAT losses totaled $60 billion; economic losses totaled $140

billion, according to Swiss Re

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Meteorological events (storm) 

880loss

events

EarthquakeChina, 20 April

Severe storms, tornadoesUSA, 18–22 May

FloodsIndia, 14–30 June

HailstormsGermany, 27–28 July

Winter Storm Christian (St. Jude)Europe, 27–30 October

Typhoon HaiyanPhilippines, 8–12 November

Severe storms, tornadoesUSA, 28–31 May

Hurricanes Ingrid & ManuelMexico, 12–19 September

FloodsCanada, 19–24 June

FloodsEurope, 30 May–19 June

Heat waveIndia, April–June

Typhoon FitowChina, Japan, 5–9 October

Earthquake (series)Pakistan, 24–28 September

FloodsAustralia, 21–31 January

Meteorite impactRussian Federation, 15 February

Flash floodsCanada, 8–9 July

FloodsUSA, 9–16 September

Source: Munich Re Geo Risks Research, NatCatSERVICE – as of January 2014.

Natural Loss EventsFull year 2013World Map

Geophysical events(earthquake, tsunami, volcanic activity)

Hydrological events(flood, mass movement)

Meteorological events (storm)

Selection of significant Natural catastrophes

Natural catastrophes

Climatological events(extreme temperature, drought, wildfire)

Extraterrestrial events(Meteorite impact)

Page 14: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

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Wed_GS_Hartwig_Outlook for 2014 14

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Nu

mb

er

Natural Disasters Worldwide

There were 880 natural disaster events globally in 2013 compared to 905 in 2012

1980 – 2013

Geophysical (earthquake, tsunami, volcanic activity) Climatological (temperature extremes, drought, wildfire)Meteorological (storm) Hydrological (flood, mass movement)

Source: MR NatCatSERVICE

Number of Events

AEGIS 2014POLICYHOLDERS’ CONFERENCE

1980 – 2013 (overall and insured losses)2013 Dollars, $ Billions

Source: MR NatCatSERVICE

Overall losses (in 2012 values) Insured losses (in 2013 values)

Losses Due to Natural Disasters Worldwide

10-Year avg. lossesOverall: $184 billionInsured: $56 bilion

2013 lossesOverall: $125B Insured: $34B

There is a clear upward trend in both insured

and overall losses over the past 30+ years

Page 15: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

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Wed_GS_Hartwig_Outlook for 2014 15

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US Thunderstorm Insured Loss Trends

Thunderstorm losses in 2013 totaled $10.3 billion, the 6th highest on record

Average thunderstorm losses are up sevn-fold

since the early 1980s. The 5-year running average

loss is up sharply

Hurricanes get all the headlines, but thunderstorms are consistent producers

of large scale loss. 2008-2013 are the most expensive years on record

1980 – 2013

Source: Property Claims Service, and MR NatCatSERVICE

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Convective Loss Events in the US

Convective events are those caused by straight-

line winds, tornadoes, hail, heavy precipitation, flash

floods and lightning

The frequency of convective events has rising tremendously

over the past 30+ years

1980 – 2013Number of Events

Source: Geo Risks Research, NatCatSERVICE.

Page 16: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

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Overall losses (in 2012 values) Insured losses (in 2013 values)

Convective Loss Events in the US

Convective events are those caused by straight-line winds,

tornadoes, hail, heavy precipitation, flash floods

and lightning

The insured and total economic cost of convective events

has rising tremendously over the past 30+ years

1980 – 2012 and first half 2013 (overall and insured losses) $ Billions US

Analysis contains: straight-line winds, tornadoes, hail, heavy precipitation, flash floods, lightning.Source: Geo Risks Research, NatCatSERVICE.

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Insured Homeowners Losses Due to Lightning

$735.5

$819.6

$882.2

$942.4

$1,065.5

$798.0

$1,033.5

$952.5 $969.0

$673.5

$500

$600

$700

$800

$900

$1,000

$1,100

2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Source: Insurance Information Institute.

2004 – 2013$ Millions

The increased number and value of expensive electronic devices in homes has pushed total lightning claim costs to about $1 billion in many years even as the number of lightning claims falls

Lightning claims cost insurers an estimated $673.5 million in 2013, down from previous years

as drought and fewer convective events reduced strikes

Page 17: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 17

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Outlook for the 2014 Atlantic Hurricane Season

Hurricanes and tropical storms drive some of the largest losses utilities expect each year

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Top 12 Most Costly Hurricanes in US History

$4.5 $5.6 $5.7 $6.8 $7.9 $8.8 $9.3$11.2

$13.6

$19.0

$25.9

$49.4

$0

$10

$20

$30

$40

$50

$60

Irene(2011)

Jeanne(2004)

Frances(2004)

Rita(2005)

Hugo(1989)

Ivan(2004)

Charley(2004)

Wilma(2005)

Ike(2008)

Sandy(2012)

Andrew(1992)

Katrina(2005)

Sources: PCS; Insurance Information Institute inflation adjustments to 2013 dollars using the CPI.

Insured losses, 2013 dollars$ Billions

10 of the 12 most costly hurricanes in insurance history occurred over the past 10 years (2004—2013)

Hurricane Sandy is the 3rd costliest hurricane in US insurance history

Page 18: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 18

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Outlook for 2014 Hurricane Season

Median*2005

(Katrina Year) 2014F

Named Storms 12.0 28 10

Named Storm Days 60.1 115.5 40

Hurricanes 6.5 14 4

Hurricane Days 21.3 47.5 15

Major Hurricanes 2.0 7 1

Major Hurricane Days 3.9 7 3

Accumulated Cyclone Energy 92.0 NA 65

Net Tropical Cyclone Activity 103% 275% 70%

30% less active than typical year

*Over the period 1981-2010.Source: Dr. Philip Klotzbach and Dr. William Gray, Colorado State University, June 2, 2014.

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Probability of Major Hurricane Landfall (CAT 3, 4, 5)

Average* 2014F

Entire US Coast 52% 40%

US East Coast Including Florida Peninsula 31% 22%

Gulf Coast from FL Panhandle to Brownsville, TX 30% 23%

Also…above-average major hurricane

landfall risk in Caribbean for 2011 (32% vs. 42%)

*Average over the past century.Source: Dr. Philip Klotzbach and Dr. William Gray, Colorado State University, June 2, 2014.

2014

Page 19: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 19

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Selected Large Outages Associated with Tropical Systems

0.63

0.78

0.81

0.91

0.94

[VALUE].00

1.07

1.27

1.6

2.1

2.47

2.62

3.25

3.5

0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00

Connecticut: Sandy (2012)

Texas: Rita (2005)

New Jersey: Irene (2011)

Katrina: Katrina (2005)

New York: Irene (2011)

Mississippi: Katrina (2005)

Alabama: Ike (2008)

Pennsylvania: Sandy (2012)

Florida: Charley (2004)

New York: Sandy (2012)

Texas: Ike (2008)

New Jersey: Sandy (2012)

Florida: Wilma (2005)

Florida: Frances (2004)

Hurricanes and tropical storms have produced significant losses

for insurers in recent years, including with Sandy in 2012

By StateMillions of Customers

Sources: US Dept. of Energy, Vertyx, AP analysis; Insurance Information Institute.

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Fire & Ice

Increasingly extreme weather has proven costly to utilities and insurers alike

The “polar vortex” and wildfire

Page 20: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 20

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Winter 2014

This winter’s “Polar Vortex” allowed frigid air to stream southward

into the Eastern US and Canada. Minimum temperatures

in some locations were the coldest in 20 years. Cold, snow and

ice led to several significant frozen precipitation and freezing events,

reaching as far south as the Gulf Coast and North Florida

Energy demand skyrocketed, created stress on the grid and caused natural gas prices to skyrocket

The “polar vortex”

Source: NASA; Munich Re.

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Insured losses from severe

winter events totaled $2.4

billion in 2014

5-year running average

Winter Storm and Winter Damage Events in the US and Canada

Insured Losses (Millions, $ 2014)

Sources: Munich Re NatCatSERVICE; Insurance Information Institute.

Insured winter storm and damage losses in the US and Canada totaled $2.4 billion this year, making 2014 the 5th costliest winter since 1980. Economic losses totaled $3.4 billion.

Three of the four most costly years ever for insured losses from winter storms and damage occurred inthe 1990s, led by the “Storm of the Century” in 1993

1980 – 2014*

Page 21: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 21

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Number of Acres Burned in Wildfires

Acreage burned was at near-record levels

in 2011-2012

Source: National Interagency Fire Center

1980 – 2013

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Wildland Fire Outlook for the Western US Is Grave

Much of the West and Northwest US is at an

elevated risk for wildfire due to

prolonged drought and high temperatures

Source: National Interagency Fire Center

Page 22: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 22

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Cyber Risk

Cyber risk is a rapidly emerging exposure for businesses large and small in every industryNEW III white paper available at: www.iii.org

AEGIS 2014POLICYHOLDERS’ CONFERENCE

157

321

446

656

498

662

419447

619

66.9

19.1

127.7

35.7

222.5

16.2 22.9 17.3

87.9

0

40

80

120

160

200

240

2005 2006 2007 2008 2009 2010 2011 2012 2013*100

200

300

400

500

600

700

# Data Breaches # Records Exposed (Millions)

Data Breaches 2005-2013

*2013 figures as of Jan. 1, 2014 from the ITRC updated to an additional 30 million records breached (Target) as disclosed in Jan. 2014.Source: Identity Theft Resource Center.

By number of breaches and records exposed# Data Breaches/Millions of Records Exposed

The total number of data breaches (+38%) and number of records exposed (+408%) in 2013 soared

Millions

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Wed_GS_Hartwig_Outlook for 2014 23

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43%

36%

17%

4%

External Cyber Crime Costs

Other costs* 0%Business disruption

*Other costs include direct and indirect costs that could not be allocated to a main external cost categorySource: 2013 Cost of Cyber Crime: United States, Ponemon Institute.

Information loss (43%) and business disruption or lost productivity (36%) account for the majority of external costs due to cyber crime

Equipment Damage

Business Disruption

Revenue loss

Information loss

Fiscal year 2013

AEGIS 2014POLICYHOLDERS’ CONFERENCE

34.4%

43.8%

9.0%

9.1%3.7%

2013 Data Breaches By Business Category

Other costs* 0%Business disruption

Source: Identity Theft Resource Center, http://www.idtheftcenter.org/images/breach/2013/UpdatedITRCBreachStatsReport.pdf

The majority of the 614 data breaches in 2013 affected business and medical / healthcareorganizations (Govt./Military breaches fell)

Banking / Credit / Financial, 23 (3.7%)

Educational, 55 (9.0%)

Govt. / Military, 56 (9.1%)

Business, 211 (34.4%)

By number of breaches

Medical / Healthcare, 269 (43.8%)

Page 24: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

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Wed_GS_Hartwig_Outlook for 2014 24

AEGIS 2014POLICYHOLDERS’ CONFERENCE

41%

29%

30%

Main Causes of Data Breach Globally

Other costs* 0%Business disruption

*The most common types of malicious or criminal attacks include malware infections, criminal insiders, phishing/social engineering and SQL injection.Source: 2014 Cost of a Data Breach Study: Global Analysis, the Ponemon Institute, sponsored by IBM, May 2014

Human error

Malicious or criminal attack*

System glitch

Malicious or criminal attacks are most often the cause of data breach globally. Some 42 percent of incidents concern a malicious or criminal attack, while 30 percent concern

a negligent employee or contractor (human factor).

AEGIS 2014POLICYHOLDERS’ CONFERENCE

21%

21%

13%

11%

9%

8%

7%

5%5%

The Most Costly Cyber Crimes

Other costs* 0%Business disruption

Source: 2013 Cost of Cyber Crime: United States, Ponemon Institute.

Malicious insiders

Malicious code

Phishing + social engineering

Denial of service, malicious code and web-based attacks account for more than 55 percent of all cyber costs per US organization on an annual basis

Fiscal year 2013

Denial of service

Web-based attacks

Stolen devices

Malware

Viruses, worms, TrojansBotnets

Page 25: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

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Wed_GS_Hartwig_Outlook for 2014 25

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Top Ten Global Business Risks for 2014

10%

10%

12%

14%

15%

19%

21%

24%

33%

43%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Quality deficiencies, serial defects

Theft, fraud, corruption

Cyber crime, IT failures, espionage

Intensified competition

Loss of reputation or brand value (e.g. from social…

Market stagnation or decline

Changes in legislation and regulation

Fire, explosion

Natural catastrophes

Business interruption, supply chain risk

Cyber and reputational challenges are the most significant movers in this year’s Risk Barometer rankings. Cyber moved into the top 10 global business risks for the first time.

Source: Allianz Risk Barometer on Business Risks 2014

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Perception Is That the Risk of Cybercrime Is Increasing

Source: 2014 Global Economic Crime Survey, PWC.

4%

57%

39%

4%

47%

48%

Decreased

Remained the same

Increased

2014 Global 2011Global

The perception of the risk of cybercrime is increasing at a faster pace than reported actual occurrences. In 2014, some 48% of respondents

said their perception of the risk of cybercrime increased, up from 39% in 2011.

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Wed_GS_Hartwig_Outlook for 2014 26

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Cybercrime Costs Are Higher for US Companies Compared to Global Average

Source: 2014 Global Economic Crime Survey, PWC.

8%

3%

19%

7%

Lost $50,000 to $1 million

Lost $1 million or more

2014 USA 2014 global

US organizations are more at risk of suffering financial losses in excess of $1 million due to cybercrime.

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Increase in Purchase of Cyber Insurance among US Companies

Source: Benchmarking Trends: Interest in Cyber Insurance Continues to Climb, Marsh Risk Management Research Briefing, April 2014

37%

11%

11%

13%

14%

19%

29%

21%

All other

Health care

Communications, media…

Professional services

Education

Retail / wholesale

Financial institutions

All industries

Interest in cyber insurance continues to climbThe number of companies purchasing cyber insurance increased 21% from 2012 to 2013

2013

Page 27: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

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Wed_GS_Hartwig_Outlook for 2014 27

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Investments: The New Reality

Investment performance is a key driver of profitabilityDepressed yields are still pressuring pricing

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Property / Casualty Insurance Industry Investment Income

$38.9$37.1 $36.7

$38.7 $39.6

$49.5$52.3

$54.6

$51.2

$47.1 $47.6$49.2

$48.0 $47.4$45.8

$30

$40

$50

$60

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014*

1 Investment gains consist primarily of interest and stock dividends. *2014 investment income is estimated Q1, annualized.Sources: ISO; Insurance Information Institute..

2000 – 20141

$ Billions

Due to persistently low interest rates, investment income fell in 2012 and in 2013 and is falling again in 2014

Investment earnings are still 16% below their 2007 pre-crisis peak

Page 28: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

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Wed_GS_Hartwig_Outlook for 2014 28

AEGIS 2014POLICYHOLDERS’ CONFERENCE

Property / Casualty Insurance Industry Investment Income

0%

1%

2%

3%

4%

5%

6%

7%

8%

9%

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Recession

2‐Yr Yield

Yields on 10-Year US Treasury Notes have been essentially below

5% for a full decade

US Treasury yields plunged to historic

lows in 2013. Longer-term yields have rebounded a bit

Since roughly 80% of P/C bond/cash investments are in 10-year or shorter durations, most P/C insurer portfolios will have low-yielding bonds for years to come

*Monthly, constant maturity, nominal rates, through June 2014.Sources: Federal Reserve Bank at http://www.federalreserve.gov/releases/h15/data.htm. National Bureau of Economic Research (recession dates); Insurance Information Institute.

1990 – 20141

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Energy Sector: Industry Future is Bright

US is becoming an energy powerhouse; will fuel P&C exposures

Need infrastructure investment

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Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

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AEGIS 2014POLICYHOLDERS’ CONFERENCE

$20.2 $20.6$19.9 $20.0 $19.5

$18.9 $19.4$20.2

$21.1 $21.6$22.4

$24.0

$25.3 $25.6

$10

$12

$14

$16

$18

$20

$22

$24

$26

$28

00 01 02 03 04 05 06 07 08 09 10 11 12 13

US Natural Gas Production

Source: Energy Information Administration, Short-Term Energy Outlook (April 8, 2014) , Insurance Information Institute.

2000 – 2013Trillions of Cubic Ft. per Year The US is already the world’s largest natural gas producer—

recently overtaking Russia. This is a potent driver of commercial insurance exposures

AEGIS 2014POLICYHOLDERS’ CONFERENCE

5.19 5.09 5.08 55.35 5.47 5.65

6.49

7.44

8.37

9.13

0

2

4

6

8

10

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014F 2015F

US Crude Oil Production

Source: Energy Information Administration, Short-Term Energy Outlook (April 8, 2014) , Insurance Information Institute.

2005 – 2015PMillions of Barrels per Day Crude oil production in the US is expected to increase by

82.6% from 2008 through 2015—and could overtake Saudi Arabia as the world’s largest oil producer

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AEGIS 2014POLICYHOLDERS’ CONFERENCE

156.

415

6.4

156.

715

7.6

158.

715

7.8

158

159.

516

016

1.5

161.

216

1.2

163.

116

4.4

166.

616

9.3

170.

117

117

2.5

173.

617

6.3

178.

217

8.5

180.

918

1.9

183.

118

4.8

185.

218

5.7

186.

818

7.6

188

188

188.

219

019

1.7

191.

919

3.4

192.

419

2.6

193.

119

3.3

195

196.

519

9.7

200.

620

320

4.1

205.

320

7.8

207.

520

7.9

210.

221

1.5

150

160

170

180

190

200

210

220

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/1

011

/10

12/1

01/

112/

113/

114/

115/

116/

117/

118/

119/

1110

/11

11/1

112

/11

1/12

2/12

3/12

4/12

5/12

6/12

7/12

8/12

9/12

10/1

211

/12

12/1

21/

132/

133/

134/

135/

136/

137/

138/

139/

1310

/13

11/1

312

/13

1/14

2/14

3/14

4/14

5/14

6/14

Oil & Gas Extraction Employment

*Seasonally adjustedSources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.

January, 2010 – June, 2014*Thousands Oil and gas extraction employment is up 35.2% since January, 2010 as the

energy sector booms. Domestic energy production is essential to any robust economic recovery in the US

Highest since August, 1986

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Power Sector Supply, Demand and Investment

Substantial energy infrastructure investments are necessary for decades to come—along with insurance solutions

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Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 31

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354.8406

523.9

629.8

729.2

819.6

0

100

200

300

400

500

600

700

800

900

1990 2000 2010 2020P 2030P 2040P

World Primary Energy Consumption

Source: Energy Information Administration, 2013 International Energy Outlook, Insurance Information Institute.

1990 – 2040PQuadrillion BTUs

Between 2010 and 2040, energy consumption is projected to increase by 56.4% worldwide

Growth in worldwide energy consumption will create more risk and vulnerabilities (natural and manmade); innovations in risk

management and insurance are needed

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3%

44%

27%

25%

Cumulative Projected Investment in Global Energy Infrastructure

Other costs* 0%Business disruption

Source: International Energy Agency, World Energy Outlook 2011.

Projected energy infrastructure investment through 2035 total $38 trillion; implies substantial incurrence of risk

2011 – 2035 ($ Trillion)Coal, $1.1, (3%)

Biofuels, $0.3, (1%)

Power, $16.9, (44%)

Oil, $10.1, (27%)

Natural gas, $9.5, (25%)

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Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 32

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US Electricity Generation by Fuel

Other costs* 0%Business disruption

1990 – 2040F (Trillions of kWh)

Natural gas share of fossil fired generation will grow rapidly (more

investment needed). Coal fired generation will remain flat but its share will fall due to abundant

gas and EPA carbon regulations

Source: US Energy Information Administration, 2014 Annual Energy Outlook Early Release Overview; Insurance Information Institute.

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1799 1598 1606 1641 1652 1640 1635

3217 15 16 15 15 16

776 894 1020 1118 1256 1374 1471

807 774 779 779 782 786 811390 534 630 625 660 644 735

0500

100015002000250030003500400045005000

2010 2015 2020 2025 2030 2035 2040

Coal Petroleum Natural Gas Nuclear Renewable Other

US Electric Power Generation by Fuel Source

Source: US Energy Information Administration, Annual Energy Outlook 2014, Appendix A7.

2010 – 2040FBillions of Kilowatt Hours

Demand for electricity is expected to grow at an 0.8% annual rate through 2040 Renewables and natural gas will account for an increasing share of fuel source

3,806 3,8194,025 4,217 4,370 4,508 4,675

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Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 33

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US Electric Power Generation by Fuel Source

0.8%

1.7%1.4%

0.4%0.2%

-0.5%-1.0%

-0.5%

0.0%

0.5%

1.0%

1.5%

2.0%

Overall Renewable Natural Gas Coal Nuclear Petroleum

Source: US Energy Information Administration, Annual Energy Outlook 2014; Insurance Information Institute.

2012 – 2040F (Billion kWh)Annual Growth Rate (%)

Overall power generation capacity will growth at just 0.8% through 2040, mostly from natural gas

Growth in renewable capacity is projected to be the fastest but is probably also the most uncertain

Natural gas generation will account for the majority of

new capacity

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US Private Power Construction

*Through April 2014.Source: US Dept. of Commerce; Energy Information Administration, Wells Fargo Securities (June 6, 2014 research report).

2000 – 2014* (% change, 3-month moving average)

Power construction accounts for a large

share of all construction activity. The recent

slowdown was in part due to the expiration of

renewable production tax credits. Going forward,

about 75% of new capacity will be for gas

fired plants

Page 34: Robert P. Hartwig, Ph.D., CPCU · Hartwig ‐Outlook for 2014 and Beyond 7/30/2014 Wed_GS_Hartwig_Outlook for 2014 4 AEGIS 2014 POLICYHOLDERS’ CONFERENCE A 100 Combined Ratio Isn’t

Hartwig ‐ Outlook for 2014 and Beyond 7/30/2014

Wed_GS_Hartwig_Outlook for 2014 34

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Value of Power Sector Construction

$23.6 $21.0 $22.0$17.4 $16.4

$21.7 $22.0$29.3 $31.5

$36.8$41.5

$35.4 $38.4 $42.2

$66.1

$81.1$88.9

$77.9 $75.2

$97.4$90.6

$107.4

$0

$20

$40

$60

$80

$100

$120

93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14*

*seasonally adjusted at annualized rates through May 2014 (latest available).Source: U.S. Census Bureau, http://www.census.gov/construction/c30/c30index.html ; Insurance Information Institute.

1993 – 2014*$ Billions

The Value of Power Construction in the US Is Rising

Power construction can be erratic but now seems to be headed for a record $100+ billion

in 2014 (based on data through May)

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Investment in US Power Plants

$1,234.0

$185.0 $183.0$4.0

$90.0 $143.0$57.0

$219.0$72.0

$212.0$67.0

$0$200$400$600$800

$1,000$1,200$1,400

Tot

al

Coa

l

Ga

s

Oil

Nuc

lear

Bio

ene

rgy

Hyd

ro

Win

d O

nsh

ore

Win

d O

ffsh

ore

So

lar

PV

Oth

er*

*Includes geothermal, concentrating solar power and marine.Sources: International Energy Agency, 2014 World Energy Investment Outlook, Table 3.2; Insurance Information Institute.

2004 – 2013$ Billions of 2012

An estimated $1.234 trillion will be invested in power plants through 2035

An estimated $1.234 trillion will be invested in power plants in the

US through 2035 – 12.9% of the $9.553 trillion forecast globally

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Wed_GS_Hartwig_Outlook for 2014 35

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Investment in US Transmission & Distribution Infrastructure

$254.0

$98.0$19.0

$138.0

$564.0

$183.0

$16.0

$365.0

$0$100$200$300$400$500$600

Tot

al

New

Dem

and

Ren

ewab

les

Ref

urb

ish

me

nt

Tot

al

New

Dem

and

Ren

ewab

les

Ref

urb

ish

me

nt

Sources: International Energy Agency, 2014 World Energy Investment Outlook, Table 3.3; Insurance Information Institute.

2014 – 2035F$ Billions of 2012

An estimated $819 billion will be invested in transmission and distribution infrastructure through 2035

Transmission Distribution

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www.iii.org

Thank you for your timeand your attention!

Twitter: twitter.com/bob_hartwig