P/C Insurance Industry Overview & Outlook A Story of Growth and Strength in an Uncertain World Barclays Insurance Forum New York, NY March 18, 2013 Download at www.iii.org/presentations Robert P. Hartwig, Ph.D., CPCU, President & Economist Insurance Information Institute 110 William Street New York, NY 10038 Tel: 212.346.5520 Cell: 917.453.1885 [email protected]
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P/C Insurance Industry Overview & Outlook A Story of Growth and Strength in an Uncertain World
P/C Insurance Industry Overview & Outlook A Story of Growth and Strength in an Uncertain World. Barclays Insurance Forum New York, NY March 18, 2013 Download at www.iii.org/presentations. Robert P. Hartwig, Ph.D., CPCU, President & Economist - PowerPoint PPT Presentation
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P/C Insurance Industry Overview & Outlook
A Story of Growth and Strength in an Uncertain World
Barclays Insurance ForumNew York, NY
March 18, 2013Download at www.iii.org/presentations
Robert P. Hartwig, Ph.D., CPCU, President & EconomistInsurance Information Institute 110 William Street New York, NY 10038
P-C Industry 2012:Q3 profits were up 222% from 2011:Q3, due primarily to lower catastrophe losses
* ROE figures are GAAP; 1Return on avg. surplus. Excluding Mortgage & Financial Guaranty insurers yields a 6.6% ROAS through 2012:Q3, 4.6% ROAS for 2011, 7.6% for 2010 and 7.4% for 2009.Sources: A.M. Best, ISO, Insurance Information Institute
A 100 Combined Ratio Isn’t What ItOnce Was: Investment Impact on ROEsCombined Ratio / ROE
* 2008 -2012 figures are return on average surplus and exclude mortgage and financial guaranty insurers. 2012:Q3 combined ratio including M&FG insurers is 100.9, ROAS = 6.3%; 2011 combined ratio including M&FG insurers is 108.2, ROAS = 3.5%. Source: Insurance Information Institute from A.M. Best and ISO data.
Profitability Peaks & Troughs in the P/C Insurance Industry, 1975 – 2012:Q3*
*Profitability = P/C insurer ROEs. 2011 figure is an estimate based on ROAS data. Note: Data for 2008-2012 exclude mortgage and financial guaranty insurers. 2012:Q3 ROAS = 6.2% including M&FG.Source: Insurance Information Institute; NAIC, ISO, A.M. Best.
1977:19.0% 1987:17.3%
1997:11.6%2006:12.7%
1984: 1.8% 1992: 4.5% 2001: -1.2%
10 Years
10 Years9 Years
2011:4.6%*
History suggests next ROE peak will be in 2016-2017
ROE
1975: 2.4%
2012:Q3: 6.6%
The Strength of the Economy Will Influence P/C Insurer
Growth Opportunities
6
Growth Will Expand Insurer Exposure Base Across Most Lines
6
7
US Real GDP Growth*
* Estimates/Forecasts from Blue Chip Economic Indicators.Source: US Department of Commerce, Blue Economic Indicators 3/13; Insurance Information Institute.
2.7%
0.5%
3.6%
3.0%
1.7%
-1.8
%1.
3%-3
.7%
-5.3
%-0
.3%
1.4%
5.0%
2.3%
2.2% 2.6%
2.4%
0.1%
2.5%
1.3%
4.1%
2.0%
1.3% 3.
1%
2.1%
2.0% 2.5% 2.7%
2.6% 2.8%
2.9%
3.0%
0.1%
-8.9%
4.1%
1.1% 1.
8% 2.5% 3.
6%3.
1%
-9%
-7%
-5%
-3%
-1%
1%
3%
5%
7%
20
00
20
01
20
02
20
03
20
04
20
05
20
06
07:1
Q07
:2Q
07:3
Q07
:4Q
08:1
Q08
:2Q
08:3
Q08
:4Q
09:1
Q09
:2Q
09:3
Q09
:4Q
10:1
Q10
:2Q
10:3
Q10
:4Q
11:1
Q11
:2Q
11:3
Q11
:4Q
12:1
Q12
:2Q
12:3
Q12
:4Q
13:1
Q13
:2Q
13:3
Q13
:4Q
14:1
Q14
:2Q
14:3
Q14
:4Q
Demand for Insurance Continues To Be Impacted by Sluggish Economic Conditions, but the Benefits of Even Slow Growth Will Compound and
Gradually Benefit the Economy Broadly
Real GDP Growth (%)
Recession began in Dec. 2007. Economic toll of credit crunch, housing slump, labor market contraction
was severe
The Q4:2008 decline was the steepest since the Q1:1982
drop of 6.8%
2013 is expected to see initially slow
growth, then gradually accelerate throughout the year and into 2014
Federal Spending as a Share of State GDP: Vulnerability to Sequestration Varies
Sources: Pew Center on the States (2012) Impact of the Fiscal Cliff on the States; Wells Fargo; Insurance Information Institute. 8
NY has relatively little exposure to sequester cuts
State-by-State Leading Indicatorsthrough 2013:Q1
Sources: Federal Reserve Bank of Philadelphia at http://www.philadelphiafed.org/index.cfm ;Insurance Information Institute. 10
Source: U.S. Department of Commerce; Blue Chip Economic Indicators (3/13); Insurance Information Institute.
Car/Light Truck Sales Will Continue to Recover from the 2009 Low Point, Bolstering the Auto Insurer Growth and the Manufacturing Sector.
New auto/light truck sales fell to the lowest level since the late 1960s. Forecast for 2013-14 is
still far below 1999-2007 average of 17 million units, but a robust
recovery is well underway.
Job growth and improved credit market conditions will boost auto sales in
2013 and beyond
13
16%
18%
20%
22%
24%
26%
28%
30%
01 02 03 04 05 06 07 08 09 10 11 12E 13F 14F$125
$135
$145
$155
$165
$175
$185
$195
% of registered cars under 3 years old Auto Ins Direct Pms $ Billions
Personal Auto Insurance Direct Written Premiums vs. Recently-Registered Cars
Sources: AIPSO Facts (various issues); SNL Financial; Conning Research & Consulting, Property-Casualty Forecast and Analysis, First Quarter 2012; Insurance Information Institute.
PP DWP, flat from 2004-2009, is rising again.Conning forecasts growth at 3.5% in 2013 and 4.0% in 2014.
Average age of registered cars rose as fewer new cars were bought (and
insured)
In 2004-07 no growth in
PP DWP despite
strong new car/truck
sales New car/truck sales grow to 14-15M/year
4%/yr growth forecast for PP
DWP from recovering
new car/truck sales
14
Monthly Change* in Auto Insurance Prices, 1991–2013*
*Percentage change from same month in prior year; through Feb. 2013; seasonally adjustedNote: Recessions indicated by gray shaded columns.Sources: US Bureau of Labor Statistics; National Bureau of Economic Research (recession dates); Insurance Information Institutes.
Source: U.S. Department of Commerce; Blue Chip Economic Indicators (3/13); Insurance Information Institute.
Homeowners Insurers Are Starting to See Meaningful Exposure Growth for the First Time Since 2005. Commercial Insurers with Construction Risk
Exposure, Surety, Workers Comp Also Benefit
New home starts plunged 72% from 2005-2009; A net
annual decline of 1.49 million units, lowest since records began
in 1959
Job growth, low inventories of existing homes, low mortgage
rates and demographics are stimulating new home construction
for the first time in years
17
Average Premium forHome Insurance Policies**
* Insurance Information Institute Estimates/Forecasts **Excludes state-run insurers.Source: NAIC, Insurance Information Institute estimates for 2011-2012 based on CPI data and other data.
$508$536
$593
$668
$822 $830$880
$909$945
$988
$804$764
$729
$400
$500
$600
$700
$800
$900
$1,000
$1,100
00 01 02 03 04 05 06 07 08 09 10 11* 12*
Countrywide Home Insurance Expenditures Increased by an Estimated 4.0%in 2011 and 4.5% in 2012
18
Construction Employment,Jan. 2010—February 2013*
*Seasonally adjustedSources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
5,58
15,
522
5,54
25,
554
5,52
75,
512
5,49
75,
519
5,49
95,
501
5,49
75,
468
5,43
5 5,47
85,
485
5,49
75,
524
5,53
05,
547
5,54
6 5,58
35,
576
5,57
7 5,61
25,
629
5,64
45,
640
5,63
65,
615
5,62
25,
627
5,63
05,
633
5,64
95,
673 5,
711
5,73
6 5,78
4
5,400
5,450
5,500
5,550
5,600
5,650
5,700
5,750
5,800
5,850
5,900
Jan-
10Fe
b-10
Mar
-10
Apr
-10
May
-10
Jun-
10Ju
l-10
Aug
-10
Sep
-10
Oct
-10
Nov
-10
Dec
-10
Jan-
11Fe
b-11
Mar
-11
Apr
-11
May
-11
Jun-
11Ju
l-11
Aug
-11
Sep
-11
Oct
-11
Nov
-11
Dec
-11
Jan-
122/
30/2
Mar
-12
Apr
-12
May
-12
Jun-
12Ju
l-12
Aug
-12
Sep
-12
Oct
-12
Nov
-12
Dec
-12
Jan-
132/
30/2
Construction employment growth accelerated in the second half of 2012. Stronger growth in this key
Note: Recession indicated by gray shaded column.Sources: U.S. Bureau of Labor Statistics; Insurance Information Institute.
5,000
5,500
6,000
6,500
7,000
7,500
8,000
'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13
The “Great Recession” and housing bust destroyed 2.3 million constructions jobs
The Construction Sector Could Be a Growth Leader in 2013 and 2014 as the Housing Market and Private Investment Recover. Commercial Insurers Will Benefit.
Construction employment
troughed at 5.435 million in Jan.
2011, after a loss of 2.291 million jobs, a 29.7%
plunge from the April 2006 peak
19
Construction employment
peaked at 7.726 million in April 2006
(Thousands) Construction employment as of Feb. 2013 totaled 5.784 million, an
increase of 349,000 jobs or 6.4% from the
Jan. 2011 trough
20
Nonfarm Payroll (Wages and Salaries):Quarterly, 2005–2012:Q4
Note: Recession indicated by gray shaded column. Data are seasonally adjusted annual rates.Sources: http://research.stlouisfed.org/fred2/series/WASCUR; National Bureau of Economic Research (recession dates); Insurance Information Institute.
Billions
$5,500
$5,750
$6,000
$6,250
$6,500
$6,750
$7,000
$7,25005
:Q1
05:Q
205
:Q3
05:Q
406
:Q1
06:Q
206
:Q3
06:Q
407
:Q1
07:Q
207
:Q3
07:Q
408
:Q1
08:Q
208
:Q3
08:Q
409
:Q1
09:Q
209
:Q3
09:Q
410
:Q1
10:Q
210
:Q3
10:Q
411
:Q1
11:Q
211
:Q3
11:Q
412
:Q1
12:Q
212
:Q3
12:Q
4
Prior Peak was 2008:Q1 at $6.60 trillion
Latest (2012:Q4) was $6.96 trillion, a new peak--$708B
above 2009 trough
Recent trough (2009:Q3) was $6.25 trillion, down
5.3% from prior peak
Growth rates in 2012Q1:12 over Q4:11: 1.8%Q2 over Q1: 1.4% Q3 over Q2: 0.3%
Outstanding Commercial Loan Volume Has Been Growing for Over Two Years and Is Now Nearly Back to Early Recession Levels. Bodes Very Well for the Creation of Current and Future Commercial Insurance Exposures
*Latest data as of 3/18/2013.Source: FDIC at http://www2.fdic.gov/qbp/ (Loan Performance spreadsheet); Insurance Information Institute.
$Trillions
Commercial lending plunged by 21.2% ($330B) during the financial crisis and ensuing
period of tight credit
Commercial lending activity is exceeds pre-crisis levels
Dollar Value* of Manufacturers’ Shipments Monthly, Jan. 1992—Jan. 2013
*seasonally adjustedSource: U.S. Census Bureau, Full Report on Manufacturers’ Shipments, Inventories, and Orders, http://www.census.gov/manufacturing/m3/
Monthly shipments are nearly back to peak (in July 2008, 8 months into the recession). Trough in May 2009. Growth from trough to Jan. 2013 was 35%. Manufacturing is an
energy intensive activity and growth leads to gains in many commercial exposures: WC, Commercial Auto, Marine, Property and Various Liability Coverages
ENERGY INTENSIVEThe value of Manufacturing
Shipments in Jan. 2013 were up 35% to $481.8B from its May 2009 trough.
June figure is only 0.7% below its previous record high in July 2008.
Manufacturing Growth for Selected Sectors, 2013 vs. 2012*
10.2%
2.7%
6.0%
2.5%3.8% 3.9%
-0.2%
3.6% 2.9%3.1% 3.8%
11.4%
1.4% 1.6%
-2%
0%
2%
4%
6%
8%
10%
12%
All
Man
ufac
turin
g
Dur
able
Mfg
.
Woo
dP
rodu
cts
Prim
ary
Met
als
Fabr
icat
edM
etal
s
Mac
hine
ry
Ele
ctric
alE
quip
.
Tran
spor
tatio
nE
quip
.
Non
-Dur
able
Mfg
.
Food
Pro
duct
s
Pet
role
um &
Coa
l
Che
mic
al
Pla
stic
s &
Rub
ber
Text
ileP
rodu
cts
Manufacturing Is Expanding Across a Wide Range of Sectors that Will Contribute to Growth in Insurable Exposures Including: WC, Commercial
Property, Commercial Auto and Many Liability Coverages
Growth (%)
Manufacturing of durable goods was especially
strong in 2012
*Seasonally adjusted; Date are YTD comparing data through January 2013 to the same period in 2012.Source: U.S. Census Bureau, Full Report on Manufacturers’ Shipments, Inventories, and Orders, http://www.census.gov/manufacturing/m3/
Sources: American Bankruptcy Institute at http://www.abiworld.org/AM/AMTemplate.cfm?Section=Home&TEMPLATE=/CM/ContentDisplay.cfm&CONTENTID=61633; Insurance Information Institute
Significant Exposure Implications for All Commercial Lines as Business Bankruptcies Begin to Decline
2011 bankruptcies totaled 47,806, down 15.1% from 56,282 in 2010—the second consecutive year of decline. Business bankruptcies more
than tripled during the financial crisis. Through Q3:2012, filings were down 15.8% vs. Q3:2011
Business Starts Were Down Nearly 20% in the Recession, Holding Back Most Types of Commercial Insurance Exposure, But
Are Recovering Slowly* Data through Jun. 30, 2012 are the latest available as of Feb. 6, 2013; Seasonally adjusted. Source: Bureau of Labor Statistics, http://www.bls.gov/news.release/cewbd.t08.htm.
(Thousands)
Business starts were up 2.2% to 748,000 in 2011 vs. 2010. In 2012, starts are likely to be up by about
2.7% over 2011 levels.
Business Starts2006: 872,0002007: 843,0002008: 790,0002009: 697,000 2010: 742,000 2011: 748,000*
Source: National Federation of Independent Business at http://www.advisorperspectives.com/dshort/charts/indicators/Sentiment.html?NFIB-optimism-index.gif ; Insurance Information Institute. 34
Small business optimism is returning after taking a big hit
*Estimate as of 12/09/12 based on estimates of catastrophe modeling firms and reported losses as of 1/12/13. Estimates range up to $25B.Sources: PCS; Insurance Information Institute inflation adjustments to 2012 dollars using the CPI.
$9.2 $11.1 $13.4
$22.0$25.6
$48.7
$8.7$7.8$6.7$5.6$5.6$4.4
$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)
Hurricane Sandy could become the 3rd costliest
hurricane in US insurance historyHurricane Irene
became the 12th most expensive hurricane in US history in 2011
10 of the 12 most costly hurricanes in insurance history occurred over the past 9 years (2004—2012)
Hurricane Sandy: Claim Payments to Policyholders, by State
Insurers Will Pay at Least $18.75 Billion to 1.52 Million Policyholders Across 15 States and DC in the Wake of Hurricane Sandy
39
At $9.6B and $6.6B, respectively, NY and NJ suffered, by far, the largest losses
from Hurricane Sandy
TOTAL = $18.75 BILLION($ Thousands)
Sources: Catastrophe loss data is for Catastrophe Serial No. 90 (Oct. 28 – 31, 2012) from PCS as of Jan. 18, 2013; Insurance Information Institute .
Auto, 250,500 ,
16%
Commercial, 202,500 ,
13%
Homeowner, 1,067,000 ,
71%
Hurricane Sandy resulted in an
estimated 1.52 million privately insured
claims resulting in an estimated $18.75 to
$25 billion in insured losses. Hurricane
Katrina produced 1.74 million claims and
$48.7B in losses (in 2012 $)
Hurricane Sandy: Number of Claims by Type*
*PCS claim count estimate s as of 1/18/13. Loss estimate represents PCS total ($18.75B) and upper end of range estimates by risk modelers RMS, Eqecat and AIR. All figures exclude losses paid by the NFIP.Source: PCS; AIR, Eqecat, AIR Worldwide; Insurance Information Institute. 40
Sandy is a high HO frequency, (relatively
low) severity event (avg. severity <50% Katrina)
Total Claims = 1.52 Million*
Auto, $2,729 , 15%
Commercial, $9,024 ,
48%
Homeowner, $6,997 ,
37%
Although Commercial Lines accounted for
only 13% of total claims, they account for 48% of all claim
dollars paid. In most hurricanes,
Commercial Lines accounts for about
1/3 of insured losses.
Hurricane Sandy: Insured Loss byClaim Type* ($ Millions)
*PCS insured loss estimates as of 1/18/13. Catastrophe modeler estimates range up to $25 billion. All figures exclude losses paid by the NFIP.Source: PCS; Insurance Information Institute. 41
Total Claim Value = $18.75 Billion*
New Jersey, $2,500 , 36% New York,
$2,700 , 38%
All Other, $1,797 , 26%
Hurricane Sandy: Value of Homeowners Claims Paid, by State* ($ Millions)
*Preliminary as of 1/18/13.Source: PCS. 42
Hurricane Sandy• Estimated
1,067,000 homeowners
claims**• $7.0 billion in insured losses.
• Average loss per claim is $6,558
• Claims in NJ estimated at $2.5 billion (36%) and $2.7 billion in NY
(38%)
New Jersey, 60,000 , 24%
All Other, 40,500 , 16%
New York, 150,000 ,
60%
Hurricane Sandy• Estimated 250,500
vehicle claims• $2.729 billion in
insured losses.• Average loss per
claim is $10,894• 60% of the claims
occurred in NY state.
Hurricane Sandy: Number of Auto Claims by State*
*Preliminary as of 1/18/13.Source: PCS. 43
New Jersey, $250 , 32%
All Other, $129 , 17%
New York, $400 , 51%
Hurricane Sandy• Estimated 250,500
vehicle claims• $2.729 billion in
insured losses.• Average loss per
claim is $10,894• About 50% of the
claim dollars will be paid in NY, 32%
in NJ.
Hurricane Sandy: Value of Auto Claims Paid, by State* ($ Millions)
*Preliminary as of 1/18/13.Source: PCS. 44
Hurricane Sandy: Loss Distribution by Commercial/Personal Lines and Reinsurance vs. Primary Insurer
*Fitch Ratings assigns a range of 60-65% commercial and 35-40% personal lines., Hurricane Sandy Update, January 8, 2013.**Source: Insurance Information Institute rough estimate based on company reports as of January 13, 2013. Actual number will vary. 45
Personal Lines45%
Commercial Lines55%
Primary70%
Reinsurance30%
Personal vs. Commercial Lines* Primary vs. Reinsurer Share**
~55% of Sandy losses appear to be commercial lines, and ~45% personal, the opposite of the
norm for hurricane losses
Reinsurers’ share of Sandy losses appears to be in the 30% range, though this is highly preliminary
Hurricane Sandy: Average Claim Payment by Type of Claim
$6,558$10,894
$43,056 $44,563
$0
$5,000
$10,000$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
$50,000
Home* Vehicle NFIP Flood** Commercial
Commercial (Business) Claims Were Nearly Seven Times More Expensive than Homeowners Claims; Vehicle Claims Were Unusually Expensive
Due to Extensive Flooding
46
Commercial (i.e., business claims) are more expensive
because the value of property is often higher as well as the impact of insured business
interruption losses
*Includes rental and condo policies (excludes NFIP flood). **As of Feb. 20, 2013.Sources: Catastrophe loss data is for Catastrophe Serial No. 90 (Oct. 28 – 31, 2012) from PCS as of Jan. 18, 2013; Insurance Information Institute .
The average insured flood loss was 6.5 times larger than the average non-flood insured loss
(mostly wind)
53
Federal Disaster Declarations Patterns:
1953-2012
53
Despite 11 Sandy Declarations, Fewer Disasters Were Declared in 2012 than the Record Number of
Declarations in 2010 and 2011
Number of Federal Disaster Declarations, 1953-2013*
Hurricanes get all the headlines, but thunderstorms are consistent
producers of large scale loss. 2008-2012 are the most expensive
years on record.
Thunderstorm losses in 2012 totaled $14.9 billion, the 2nd
highest on record
63
Top 16 Most Costly Disastersin U.S. History
(Insured Losses, 2012 Dollars, $ Billions)
$7.8 $8.7 $9.2 $11.1 $13.4
$22.0$23.9 $24.6$25.6
$48.7
$7.5$7.1$6.7$5.6$5.6$4.4
$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)
Hurricane Sandy could become the 4th or 5th costliest event in US
insurance history
Hurricane Irene became the 12th most expense hurricane
in US history in 2011
Includes Tuscaloosa, AL,
tornado
Includes Joplin, MO, tornado
12 of the 16 Most Expensive Events in US History Have
Occurred Over the Past Decade*Estimate as of 12/09/12 based on estimates of catastrophe modeling firms and reported losses as of 1/12/13. Estimates range up to $25B.Sources: PCS; Insurance Information Institute inflation adjustments to 2012 dollars using the CPI.
*As of 1/2/13. Includes $20B gross loss estimate for Hurricane Sandy.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 ($15.6B in 2011 dollars.) Sources: Property Claims Service/ISO; Insurance Information Institute.
US CAT Losses in 2012 Will Likely Become the 2nd or 3rd Highest in US History on An Inflation-Adjusted
Basis (Pvt Insured). 2011 Losses Were the 5th Highest
2012 was likely the second most expensive
year ever for insured CAT losses
Record Tornado Losses Caused
2011 CAT Losses to Surge
($ Billions, 2012 Dollars)
64
65
Top 16 Most Costly World Insurance Losses, 1970-2012*
(Insured Losses, 2012 Dollars, $ Billions)
*Figures do not include federally insured flood losses.**Estimate based on PCS value of $18.75B as of 1/18/13 and assumption of upward development based on catastrophe modeler estimates ranging as high as $25B.Sources: Swiss Re sigma 1/2011; Munich Re; Insurance Information Institute research.
$11.1$13.4 $13.4$13.4
$22.0$23.9 $24.6$25.6
$38.6
$48.7
$7.8 $8.1 $8.5 $8.7 $9.2 $9.6
$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)
WTC TerrorAttack(2001)
Andrew(1992)
JapanQuake,
Tsunami(2011)**
Katrina(2005)
5 of the top 14 most expensive
catastrophes in world history have occurred within the past 3 years
Hurricane Sandy could become the 6th costliest event
in global insurance history
2012 insured CAT Losses totaled $60B; Economic losses totaled $140B, according to Swiss Re
Homeowners Insurance Catastrophe-Related Claim Frequency and Severity, 1997—2012*
*All policy forms combined, countrywide.Source: Insurance Research Council, Trends in Homeowners Insurance Claims, Sept. 2012 from ISO Fast Track data. 68
Avg. catastrophe claim cost rose
approximately 200% from 1997-2011
Cat claim frequency in 2011 was at historic highs and more than
double the rate in 1997
69
Combined Ratio Points Associated with Catastrophe Losses: 1960 – 2012*
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.
0.4
1.2
0.4 0.
8 1.3
0.3 0.4 0.7
1.5
1.0
0.4
0.4 0.7
1.8
1.1
0.6
1.4 2.
01.
3 2.0
0.5
0.5 0.7
3.0
1.2
2.1
8.8
2.3
5.9
3.3
2.8
1.0
3.6
2.9
1.6
5.4
1.6
3.3
3.3
8.1
2.7
1.6
5.0
2.6
3.4
8.7 9.
4
3.6
0.9
0.1
1.1
1.1
0.8
0123456789
10
1960
1962
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
E
The Catastrophe Loss Component of Private Insurer Losses Has Increased Sharply in Recent Decades
Homeowners Performance Deteriorated in 2011/12 Due to Large Cat Losses. Extreme Regional Variation Can Be
Expected Due to Local Catastrophe Loss Activity
Sources: A.M. Best (1990-2013F);Conning (2014F); Insurance Information Institute. 70
Hurricane Ike
Hurricane Sandy
Record tornado activity
71
Growth Analysis by State and Business Segment
Premium Growth Rates Vary Tremendously by State
71
72
Direct Premiums Written: Total P/CPercent Change by State, 2006-2011*
71.5
41.8
26.4
22.8
22.6
20.8
18.2
11.8
10.5
6.6
6.3
6.1
5.8
4.9
4.7
4.2
3.9
2.4
2.2
2.1
2.1
2.1
0.9
0.9
0.7
0.4
0
1020
3040
50
6070
80
ND SD MT IA NE
KS
OK
WY
TX MN LA AR WI
TN IN AK
DE
NM NC KY
SC WA
DC
MO VT MS
Pece
nt c
hang
e (%
)
Sources: SNL Financial LC.; Insurance Information Institute.
Top 25 States
A limited number of states showed strong growth over
the past 5 years
73
Direct Premiums Written: Total P/CPercent Change by State, 2006-2011*
0.4
-0.6
-0.8
-0.8
-1.1
-1.3
-1.4
-1.6
-1.9
-2.0
-2.5
-3.1
-3.2
-3.5
-4.1
-4.4
-5.2
-5.8
-6.0
-10.
3
-10.
5
-10.
8
-11.
7
-12.
0
-13.
5
-19.
2
-25
-20
-15
-10
-5
0
5
AL
OH IL VA NY
UT
US
GA
CT PA NJ
CO
MD
MA ID OR RI
ME MI
HI
NH
WV FL CA AZ
NV
Pece
nt c
hang
e (%
)
Bottom 25 States
States with the poorest performing economies also produced the most negative net change in premiums of
the past 5 years
Sources: SNL Financial LC.; Insurance Information Institute.
NY’s change in premium growth
was similar to the US average
78
Direct Premiums Written: Comm. LinesPercent Change by State, 2006-2011*
100.
9
60.8
38.9
28.9
27.9
25.6
14.9
8.3
4.0
2.9
2.7
0.9
0.2
0.0
-0.5
-1.5
-2.5
-3.0
-6.3
-6.4
-6.6
-6.6
-6.7
-7.6
-7.8
-7.9
-20
0
20
40
60
80
100
120
ND SD MT IA NE
KS
OK
WY
MN TX AK WI
VT IN AR LA TN DC IL OH
MA
NM MS
WA
NY
NC
Pece
nt c
hang
e (%
)
Sources: SNL Financial LC.; Insurance Information Institute.
Top 25 States
Only 12 states showed any commercial lines growth
2006 and 2011
NY’s decline in commercial lines
premiums written was less than the US overall
79
Direct Premiums Written: Comm. LinesPercent Change by State, 2006-2011*
-7.9
-8.0
-8.1
-9.0
-10.
0
-10.
1
-10.
8
-11.
4
-11.
6
-12.
2
-12.
7
-12.
9
-13.
2
-13.
2
-13.
6
-14.
7
-15.
0
-16.
0
-16.
7
-19.
4
-19.
8
-19.
9
-23.
7
-24.
4
-26.
4
-33.
0
-40
-35-30
-25
-20
-15-10
-5
0
KY PA MO US
ME
CT
SC AL
VA GA ID MD NJ RI
CO UT
OR MI
DE CA
NH HI
FL AZ
WV
NV
Pece
nt c
hang
e (%
)
Bottom 25 States
States with the poorest performing economies also produced the most negative net change in premiums of
the past 5 years
Sources: SNL Financial LC.; Insurance Information Institute.
82
Labor Market Trends
Massive Job Losses Sapped the Economy and Commercial/Personal
Lines Exposure, But Trend is Improving
82
83
Unemployment and Underemployment Rates: Stubbornly High in 2012, But Falling
2
4
6
8
10
12
14
16
18
Jan00
Jan01
Jan02
Jan03
Jan04
Jan05
Jan06
Jan07
Jan08
Jan09
Jan10
Jan11
Jan12
Jan13
Traditional Unemployment Rate U-3
Unemployment + Underemployment Rate U-6
Unemployment stood at 7.7% in
Feb. 2013—lowest in 4 years.Unemployment peaked at 10.1% in October 2009, highest monthly rate since 1983.Peak rate in the last 30 years:
10.8% in November -
December 1982
Source: US Bureau of Labor Statistics; Insurance Information Institute.
U-6 went from 8.0% in March
2007 to 17.5% in October 2009; Stood at 14.3%
in Feb. 2013
January 2000 through Feb. 2013, Seasonally Adjusted (%)
Recession ended in
November 2001
Unemployment kept rising for
19 more months
Recession began in
December 2007
Stubbornly high unemployment and underemployment constrain overall economic growth, but the job market is now clearly improving
83
227
5416
850
123
661
-79
2468 74 51
2-1
14-1
05-2
22-2
19 -203
-267
-269
-429
-484
-786
-701
-821
-692
-812
-821
-288
-442
-282 -2
22 -162
-233
-34
-167
-17
-26
170
102
94 103 12
911
3 188
154
114
8024
322
3 303
183
177 20
612
925
617
4 197 24
9 323
265
208
120 15
278
177
131
118
217 25
622
414
024
6
111
(1,000)
(800)
(600)
(400)
(200)
0
200
400
Jan-
07Fe
b-07
Mar
-07
Apr
-07
May
-07
Jun-
07Ju
l-07
Aug
-07
Sep
-07
Oct
-07
Nov
-07
Dec
-07
Jan-
08Fe
b-08
Mar
-08
Apr
-08
May
-08
Jun-
08Ju
l-08
Aug
-08
Sep
-08
Oct
-08
Nov
-08
Dec
-08
Jan-
09Fe
b-09
Mar
-09
Apr
-09
May
-09
Jun-
09Ju
l-09
Aug
-09
Sep
-09
Oct
-09
Nov
-09
Dec
-09
Jan-
10Fe
b-10
Mar
-10
Apr
-10
May
-10
Jun-
10Ju
l-10
Aug
-10
Sep
-10
Oct
-10
Nov
-10
Dec
-10
Jan-
11Fe
b-11
Mar
-11
Apr
-11
May
-11
Jun-
11Ju
l-11
Aug
-11
Sep
-11
Oct
-11
Nov
-11
Dec
-11
Jan-
12Fe
b-12
Mar
-12
Apr
-12
May
-12
Jun-
12Ju
l-12
Aug
-12
Sep
-12
Oct
-12
Nov
-12
Dec
-12
Jan-
13Fe
b-13
Monthly Change in Private Employment
January 2007 through Feb. 2013 (Thousands)
Private Employers Added 6.31million Jobs Since Jan. 2010 After Having Shed 4.98 Million Jobs in 2009 and 3.80 Million in 2008 (State and Local Governments Have Shed Hundreds of Thousands of Jobs)
Source: US Bureau of Labor Statistics: http://www.bls.gov/ces/home.htm; Insurance Information Institute
Monthly Losses in Dec. 08–Mar. 09 Were
the Largest in the Post-WW II Period
246,000 private sector jobs were
created in February
84
Jobs Created2012: 2.247 Mill2011: 2.420 Mill2010: 1.235 Mill
Cumulative Change in Private Sector Employment: Jan. 2010—Feb. 2013January 2010 through February 2013* (Millions)
Source: US Bureau of Labor Statistics: http://www.bls.gov/ces/home.htm; Insurance Information Institute
Cumulative job gains through Feb. 2013 totaled 6.31 million
86
Job gains and pay increases have added more than $600 billion to payrolls
since Jan. 2010
Private Employers Added 6.31million Jobs Since Jan. 2010 After Having Shed 4.98 Million Jobs in 2009 and 3.80 Million in 2008 (State and Local Governments Have Shed Hundreds of Thousands of Jobs)
Payroll vs. Workers Comp Net Written Premiums, 1990-2012E
*Private employment; Shaded areas indicate recessions. WC premiums for 2012 are I.I.I. estimate based YTD 2012 actuals.Sources: NBER (recessions); Federal Reserve Bank of St. Louis at http://research.stlouisfed.org/fred2/series/WASCUR ; NCCI; I.I.I.
Continued Payroll Growth and Rate Increases Suggest WC NWP Will Grow Again in 2012; +7.9% Growth in 2011 Was the First Gain Since 2005
7/90-3/91 3/01-11/0112/07-6/09
$Billions $Billions
WC premium volume dropped two years before
the recession began
WC net premiums written were down $14B or 29.3% to
Catastrophes and Other Factors Are Pressuring Insurance Markets
96
New Factor: Record Low Interest Rates Are Contributing to
Underwriting and Pricing Pressures
INVESTMENTS: THE NEW REALITY
97
Investment Performance is a Key Driver of Profitability
Depressed Yields Will Necessarily Influence Underwriting & Pricing
97
Property/Casualty Insurance Industry Investment Income: 2000–2012E1
$38.9$37.1 $36.7
$38.7
$54.6
$51.2
$47.1 $47.6$49.0
$46.8
$39.6
$49.5$52.3
$30
$40
$50
$60
00 01 02 03 04 05 06 07 08 09 10 11 12E
Investment Income Fell in 2012 Due to Persistently Low Interest Rates, Putting Additional Pressure on (Re) Insurance Pricing
1 Investment gains consist primarily of interest and stock dividends.*2012F is based on annualized 9M:2012 actual figure of $35.131B.Sources: ISO; Insurance Information Institute.
($ Billions)
Investment earnings in 2012 were running 14% below their 2007 pre-crisis peak
Property/Casualty Insurance Industry Investment Gain: 1994–2012F1
Investment Gains Are Slipping in 2012 as Low Interest Rates Reduce Investment Income and Lower Realized Investment Gains; The Financial
Crisis Caused Investment Gains to Fall by 50% in 20081 Investment gains consist primarily of interest, stock dividends and realized capital gains and losses.* 2005 figure includes special one-time dividend of $3.2B; 2012F figure is III estimate based on annualized actual 9M:2012 result of
$38.089B.Sources: ISO; Insurance Information Institute.
($ Billions)
Investment gains in 2012 are running approximately 20% below their pre-crisis peak
104
Average Maturity of Bonds Held by US P/C Insurers, 2006—2011*
6.456.536.89
7.307.467.32
5.0
5.5
6.0
6.5
7.0
7.5
8.0
2006 2007 2008 2009 2010 2011
*Year-end figures. Latest available.Sources: Insurance Information Institute calculations based on A.M. Best data.
Average Maturity (Years)
Falling Average Maturity (and Duration) of the P/C Industry’s Bond Portfolio is Contributing to the Drop in Investment
Income Along With Lower Yields
The average bond maturity is down by a full year between
2007 and 2011
104
105
Distribution of Bond Maturities,P/C Insurance Industry, 2006-2011
16.2%
16.3%
15.2%
29.5%
30.0%
32.4%
36.2%
39.5%
41.4%
34.1%
33.8%
31.2%
28.7%
26.7%
26.8%
13.1%
12.9%
12.7%
11.7%
11.1%
10.3%
7.4%
8.1%
8.1%
7.3%
6.4%
6.3%
16.0%
15.7%
15.2%
0% 20% 40% 60% 80% 100%
2006
2007
2008
2009
2010
2011
Under 1 year1-5 years5-10 years10-20 yearsover 20 years
Sources: A.M. Best; Insurance Information Institute.
The main shift over these 6 years has been from bonds with 5-10 years of maturity to bonds with 1-5 years of maturity. The industry also slightly
trimmed it holdings of bonds in the 10-20-year maturity categoryand bonds in the longest-maturity category.
107
-1.8
%
-1.8
%
-2.0
%
-3.6
%
-3.3
%
-3.3
%
-3.7
%
-4.3
%
-5.2
%
-5.7
%
-7.3%
-1.9
%
-2.1
%
-3.1
%
-8%-7%-6%-5%-4%-3%-2%-1%0%
Persona
l Line
s
Pvt Pass
Auto
Pers P
rop
Commerc
ial
Comml A
uto
Credit
Comm P
rop
Comm C
as
Fidelity
/Sure
ty
Warra
nty
Surplus
Line
s
Med M
al
WC
Reinsu
rance
**
Lower Investment Earnings Place a Greater Burden on Underwriting and Pricing Discipline
*Based on 2008 Invested Assets and Earned Premiums**US domestic reinsurance onlySource: A.M. Best; Insurance Information Institute.
Reduction in Combined Ratio Necessary to Offset 1% Decline in Investment Yield to Maintain Constant ROE, by Line*
107
1. UNDERWRITING
108
Underwriting Losses in 2011 and 2012 Are Elevated by High
Catastrophe Losses108
109
P/C Insurance Industry Combined Ratio, 2001–2012:Q3*
Workers Comp Results Should Begin to Improve in 2013. Underwriting Results Deteriorated Markedly from 2007-2012 and Were the Worst They Had Been in a Decade.
Sources: A.M. Best (1994-2013F); Insurance Information Institute (2014F). 133
2. SURPLUS/CAPITAL/CAPACITY
143
How Will Large Catastrophe Losses Impact Capacity?