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Drink From M y Firehose : Everything Communicators Need to Know About the P/C Insurance Industry in 60 Minutes or Less. Insurance Marketing Communications Association Philadelphia, PA June 24, 2013. Robert P. Hartwig, Ph.D., CPCU, President & Economist - PowerPoint PPT Presentation
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Drink From My Firehose:Everything Communicators Need to
Know About the P/C Insurance Industry in 60 Minutes or Less
Insurance Marketing Communications AssociationPhiladelphia, PAJune 24, 2013
Robert P. Hartwig, Ph.D., CPCU, President & EconomistInsurance Information Institute 110 William Street New York, NY 10038
Tel: 212.346.5520 Cell: 917.453.1885 [email protected] www.iii.org
2
P/C Insurance Industry Financial Overview
Profit Recovery in 2012 After High CAT Losses; Ultimate
Impact of Sandy Still Unclear
2
P/C Net Income After Taxes1991–2013:Q1 ($ Millions)
$14,
178
$5,8
40
$19,
316
$10,
870 $20,
598
$24,
404 $3
6,81
9
$30,
773
$21,
865
$3,0
46
$30,
029
$62,
496
$3,0
43
$35,
204
$19,
456 $3
3,52
2
$14,
000
$28,
672
-$6,970
$65,
777
$44,
155
$20,
559
$38,
501
-$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:Q1
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:Q1 ROAS1 = 9.5%
* ROE figures are GAAP; 1Return on avg. surplus. Excluding Mortgage & Financial Guaranty insurers yields a 6.2% ROAS in 2012, 4.7% ROAS for 2011, 7.6% for 2010 and 7.4% for 2009.2013:Q1 is estimated. Sources: A.M. Best, ISO, Insurance Information Institute
Net income is up substantially
from 2012:Q1 $10.2B
2012:Q1 ROAS
was 7.2%
-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 1213
:Q1
Profitability Peaks & Troughs in the P/C Insurance Industry, 1975 – 2013:Q1*
*Profitability = P/C insurer ROEs. 2011 figure is an estimate based on ROAS data. Note: Data for 2008-2013 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
2012: 5.9%
History suggests next ROE peak will be in 2016-2017
ROE
1975: 2.4%
2013:Q1 9.5%
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 combined ratio including M&FG insurers is 103.2, 2011 combined ratio including M&FG insurers is 108.1, ROAS = 3.5%. Source: Insurance Information Institute from A.M. Best and ISO data.
97.5100.6 100.1 100.8
92.7
101.299.5
101.0102.4
106.5
95.7
6.2%4.7%
7.9%7.4%4.3%
9.6%
15.9%14.3%
12.7% 10.9%
8.8%
80
85
90
95
100
105
110
1978 1979 2003 2005 2006 2007 2008 2009 2010 2011 20120%
3%
6%
9%
12%
15%
18%
Combined Ratio ROE*
Combined Ratios Must Be Lower in Today’s DepressedInvestment Environment to Generate Risk Appropriate ROEs
A combined ratio of about 100 generates an ROE of ~7.0% in 2012, ~7.5% ROE in 2009/10,
10% in 2005 and 16% in 1979
Catastrophes and lower investment
income pulled down ROE in 2012
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 6/13; 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%
2.4%
1.8% 2.3% 2.6%
2.7%
2.8%
2.9%
2.9%
0.4%
-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 uneven growth,
then gradually accelerate throughout the year and into 2014
74.4
73.6
73.6
72.2 73.6 76
67.8
68.9
68.2
67.7 71
.6 74.5
74.2 77
.567
.5 69.8 74
.371
.563
.755
.7 59.5 60.9 64
.169
.9 75.0
75.3
76.2
76.4 79
.373
.272
.3 74.3
82.6
82.7
74.5
73.8 77
.678
.6 83.7
76.4
40
45
50
55
60
65
70
75
80
85
90
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
Oct
-12
Nov
-12
Dec
-12
Jan-
13Fe
b-13
Mar
-13
Apr
-13
May
-13
Consumer Sentiment Survey (1966 = 100)
January 2010 through May 2013
Consumer confidence has been low for years amid high unemployment, falling home prices and other factors adversely impact
consumers, but improved substantially in late 2011 and in 2012Source: University of Michigan; Insurance Information Institute
Optimism among consumers has remained fairly strong
despite tax hike, federal budget concerns. May’s reading was
the highest since July 2007
11
12
16.9
16.5
16.1
13.2
10.4
11.6
12.7
14.4 15
.4 15.9
16.0
16.2
16.2
16.2
16.216
.9
16.617
.117.517.8
17.4
910
11121314
151617
1819
99 00 01 02 03 04 05 06 07 08 09 10 11 12 13F 14F15F 16F17F18F 19F
(Millions of Units)
Auto/Light Truck Sales, 1999-2019F
Source: U.S. Department of Commerce; Blue Chip Economic Indicators (6/13 and 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 Along
With Workers Comp Exposures
New auto/light truck sales fell to the lowest level since the late 1960s. Forecast for 2013-14 is
still 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
Truck purchases by contractors are especially strong
14
Monthly Change* in Auto Insurance Prices, 1991–2013*
*Percentage change from same month in prior year; through May 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.
-2%
0%
2%
4%
6%
8%
10%
'90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13
Cyclical peaks in PP Auto tend to occur
approximately every 10 years (early 1990s, early
2000s and likely the early 2010s)
“Hard” markets tend to occur
during recessionary
periods
Pricing peak occurred in late
2010 at 5.3%, falling to 2.8% by Mar. 2012
The May 2013 reading of 4.1% is
up from 3.0% a year earlier
16
(Millions of Units)
New Private Housing Starts, 1990-2019F
1.48
1.47 1.
62 1.64
1.57 1.60 1.
71 1.85 1.
96 2.07
1.80
1.36
0.91
0.55 0.59 0.61
0.78
1.01
1.21 1.
35 1.44 1.
501.
511.
50
1.351.
461.
291.
201.
011.
19
0.3
0.5
0.7
0.9
1.1
1.3
1.5
1.7
1.9
2.1
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13F14F15F16F17F18F19F
Source: U.S. Department of Commerce; Blue Chip Economic Indicators (6/13 and 3/13); Insurance Information Institute.
Insurers Are Starting to See Meaningful Exposure Growth for the First Time Since 2005 Associated with Home Construction: Construction Risk Exposure,
Surety, Commercial Auto; Potent Driver of Workers Comp Exposure
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
18
Construction Employment,Jan. 2010—May 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
5 5,78
35,
797
5,79
95,
804
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
Mar
-13
Apr
-13
May
-13
Construction employment growth accelerated in the second half of
2012. Continued growth in this key sector is possible through 2013.
Construction is a key driver of workers comp exposure growth.
(Thousands)
20
Nonfarm Payroll (Wages and Salaries):Quarterly, 2005–2013:Q1
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
413
:Q1
Prior Peak was 2008:Q1 at $6.60 trillion
Latest (2013:Q4) was $7.01 trillion, a new peak--$762B
above 2009 trough
Recent trough (2009:Q3) was $6.25 trillion, down
5.3% from prior peak
Payrolls are 12.2% above
their 2009 trough and up 2.7% over
the past year
20
23
Value of Construction Put in Place, April 2013 vs. April 2012*
-5.1%
-0.6%
-5.2%
4.3%
9.0%
18.8%
0.6%
-10%
-5%
0%
5%
10%
15%
20%
TotalConstruction
Total PrivateConstruction
Residential--Private
Non-Residential--
Private
Total PublicConstruction
Residential-Public
Non-Residential--
Public
Overall Construction Activity is Up, But Growth Is Entirely in the Private Sector as State/Local Government Budget Woes Continue
Growth (%)
Private sector construction activity is up in the
residential segment but down in nonresidential
*seasonally adjustedSource: U.S. Census Bureau, http://www.census.gov/construction/c30/c30index.html ; Insurance Information Institute.
Private: +9.0% Public: -5.1%
Public sector construction activity remains depressed
58.3
57.1
60.4
59.6
57.8
55.3
55.1
55.2
55.3 56
.9 58.2
58.5 60
.8 61.4
59.7
59.7
54.2 55
.851
.4 52.5
52.5
51.8
52.2 53
.1 54.1
51.9 53
.3 54.1
52.5
50.2
50.5
50.7 51
.651
.749
.950
.253
.1 54.2
50.7
49.051
.3
40
45
50
55
60
65
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
Mar
-13
Apr
-13
May
-13
ISM Manufacturing Index(Values > 50 Indicate Expansion)January 2010 through May 2013
The manufacturing sector expanded for 39 of the 41 months from Jan. 2010 through May 2013. Recent weakness stems largely from woes in
Europe and a Slowdown in China.Source: Institute for Supply Management at http://www.ism.ws/ismreport/mfgrob.cfm; Insurance Information Institute.
Manufacturing contracted in May, albeit modestly
26
28
Manufacturing Growth for Selected Sectors, 2013 vs. 2013*
5.2%
-0.8%
6.8%
-0.2%
3.3%
-1.1%-2.6%
2.4%5.0%
1.1%2.5%
14.4%
-2.5%
0.3%
-4%-2%0%2%4%6%8%
10%12%14%16%
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—Albeit More Slowly—Across a Number 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 but weakened in 2013
*Seasonally adjusted; Date are YTD comparing data through April 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/
Durables: +2.5% Non-Durables: -0.3%Construction
machinery is up 35.4% YTD
30
Manufacturing Employment,Jan. 2010—May 2013*
11,4
6011
,460
11,4
6611
,497
11,5
3111
,539
11,5
5811
,548
11,5
5411
,555
11,5
7711
,590
11,6
2411
,662
11,6
8211
,707
11,7
1511
,724
11,7
4711
,760
11,7
6211
,770
11,7
6911
,797
11,8
4111
,870
11,9
1011
,920
11,9
2611
,935
11,9
5711
,943
11,9
2511
,931
11,9
3811
,951
11,9
6511
,988
11,9
8411
,975
11,9
67
11,000
11,200
11,400
11,600
11,800
12,000
12,200
12,400
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-
13Fe
b-13
Mar
-13
Apr
-13
May
-13
Manufacturing employment is up by more than 500,000 or 4.4% since Jan.
2010—a surprising source of strength in the economy. The sector has weakened
recently as US corporations remains cautious and Europe, China slow.
*Seasonally adjustedSources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
(Thousands)
50.7 52
.7 54.1
54.6
54.8
53.5
53.7
52.8 53
.9 54.6 56
57.1 59
.459
.756
.354
.453
.353
.453
.852
.652
.652
.652
.653
.056
.856
.155
.053
.754
.152
.752
.9 54.3 55
.254
.854
.8 55.7
55.2 56
.0
53.1
53.754.4
40
45
50
55
60
65
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
Mar
-13
Apr
-13
May
-13
ISM Non-Manufacturing Index(Values > 50 Indicate Expansion)January 2010 through May 2013
Non-manufacturing industries have been expanding and adding jobs. The question is whether this will continue.
Source: Institute for Supply Management at http://www.ism.ws/ismreport/nonmfgrob.cfm; Insurance Information Institute.
Optimism among non-manufacturers is stable
and remains expansionary in 2013
31
32
43,6
9448
,125
69,3
0062
,436
64,0
04 71,2
77 81,2
3582
,446
63,8
5363
,235
64,8
5371
,549
70,6
4362
,304
52,3
7451
,959
53,5
4954
,027
44,3
6737
,884
35,4
7240
,099
38,5
4035
,037
34,3
1739
,201
19,6
95 28,3
2243
,546
60,8
3756
,282
47,8
0630
,620
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
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 1112
:Q3
Business Bankruptcy Filings,1980-2012:Q3
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
% Change Surrounding Recessions
1980-82 58.6%1980-87 88.7%1990-91 10.3%2000-01 13.0%2006-09 208.9%*
32
33
Private Sector Business Starts, 1993:Q2 – 2012:Q3*
175
186
174
180 18
619
218
818
7 189
186 19
0 194
191
199 20
420
219
519
619
620
620
620
119
219
820
620
620
321
120
521
220
0 205
204
204
197
203 20
920
119
219
219
320
1 204
202
210 21
220
921
6 220 22
322
022
021
022
121
220
421
820
920
720
719
919
1 193
172 17
616
918
417
5 179
188
200
183 18
7 191
197
193
191 19
3
203
150
160
170
180
190
200
210
220
230
93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12
Business Starts Were Down Nearly 20% in the Recession, Holding Back Most Types of Commercial Insurance Exposure, But
Are Recovering Slowly* Data through Sep. 30, 2012 are the latest available as of June 21, 2013; Seasonally adjusted. Source: Bureau of Labor Statistics, http://www.bls.gov/news.release/cewbd.t08.htm.
(Thousands)
Business starts were up an estimated 2.8% in 2012 to 769,000 following a 2.2% to 748,000 in 2011. Start-ups
could accelerate in 2013.
Business Starts2006: 872,0002007: 843,0002008: 790,0002009: 697,000 2010: 742,000 2011: 748,000 2012E: 769,000*
33
35
12 Industries for the Next 10 Years: Insurance Solutions Needed
Export-Oriented Industries
Health Sciences
Health Care
Energy (Traditional)
Alternative Energy
Petrochemical
Agriculture
Natural Resources
Technology (incl. Biotechnology)
Light Manufacturing
Insourced Manufacturing
Many industries are
poised for growth, though
insurers’ ability to
capitalize on these
industries varies widely
Shipping (Rail, Marine, Trucking, Pipelines)
36
U.S. Insured Catastrophe Loss Update
Catastrophe Losses in Recent Years Have Been Very High
36
37
$12.
6
$11.
0$3
.8$1
4.3
$11.
6$6
.1
$34.
7$7
.6 $16.
3$3
3.7
$73.
4
$10.
5$7
.5
$29.
2$1
1.5
$14.
4$3
3.6
$35.
0$7
.9$14.
0
$4.8 $8
.0
$37.
8$8
.8
$26.
4
$0
$10
$20
$30
$40
$50
$60
$70
$80
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*
U.S. Insured Catastrophe Losses
*Through 6/2/13. Includes $2.6B for 2013:Q1 (PCS) and $5.32B for the period 4/1 – 6/2/13 (Aon Benfield Monthly Global Catastrophe Recap).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 ($15.6B in 2011 dollars.) Sources: Property Claims Service/ISO; Insurance Information Institute.
2012 Was the 3rd Highest Year on Record for Insured Losses in U.S. History on an Inflation-Adj. Basis. 2011 Losses Were the 6th Highest. YTD 2013 Running Below
Average But Q3 Is Typically the Costliest Quarter.
2012 was likely the third most expensive year ever for insured
CAT losses
Record tornado losses caused
2011 CAT losses to surge
($ Billions, 2012 Dollars)
37
38
Impact: Documents Insurer Charitable Actions Following Hurricane Sandy
39
Moore, OK, Tornado: Media Coverage Was Generally Favorable
Industry had a highly visible, rapid response as Catastrophe Response Teams massed at the “Command Center” at the First Baptist Church in Moore within 48 hours
A number of insurers had communications people embedded with their Cat teams
40
Moore, OK, Tornado: Media Coverage Was Generally Favorable OK Insurance Commissioner John Doak & DOI
Fair, friendly, efficient, well-prepared, organizedFormer State Farm/Farmers agent; Also worked for
Marsh and AonExcellent communications person (Kelly Collins)Doak and Collins are both media savvy
Rapid credentialing of out-of-state adjusters
OK DOI was credentialing ~40 out of state adjusters per
hour on site
OK Insurance Commissioner John Doak with me shortly
before our tour
Scenes from my Visit to Moore, OK, Tornado: High Claim Severity
41
42
Top 16 Most Costly Disastersin U.S. History
(Insured Losses, 2012 Dollars, $ Billions)
$7.8 $8.7 $9.2 $11.1 $13.4$18.8
$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*PCS estimate as of 4/12/13.Sources: PCS; Insurance Information Institute inflation adjustments to 2012 dollars using the CPI.
43
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 4/12/13.Sources: Munich Re; Swiss Re; Insurance Information Institute research.
$11.1$13.4 $13.4$13.4$18.8
$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
(2010-2012)
Hurricane Sandy is now the 6th costliest event in global
insurance history
2012 insured CAT Losses totaled $60B; Economic losses totaled $140B, according to Swiss Re
Outlook for 2013 Hurricane Season: 75% Worse Than Average
Forecast Parameter Median(1981-2010)
2013F
Named Storms 12.0 18
Named Storm Days 60.1 95
Hurricanes 6.5 9Hurricane Days 21.3 40Major Hurricanes 2.0 4
Major Hurricane Days 3.9 9
Accumulated Cyclone Energy 92.0 165
Net Tropical Cyclone Activity 103% 175%
Source: Philip Klotzbach and Dr. William Gray, Colorado State University, April 10, 2013, accessed at http://tropical.atmos.colostate.edu/forecasts/2013/apr2013/apr2013.pdf ; Insurance Information Institute..
Num
ber
Geophysical (earthquake, tsunami, volcanic activity)
Climatological (temperature extremes, drought, wildfire)
Meteorological (storm)
Hydrological (flood, mass movement)
Natural Disasters in the United States, 1980 – 2012Number of Events (Annual Totals 1980 – 2012)
Source: MR NatCatSERVICE 50
41
19
121
3
50
100
150
200
250
300
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
There were 184 natural disaster events in the
US in 2012
U.S. Thunderstorm Loss Trends, 1980 – 2012
52Source: Property Claims Service, MR NatCatSERVICE
Average thunderstorm
losses are up 7 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. 2008-2012 are the most expensive
years on record.
Thunderstorm losses in 2012 totaled $14.9 billion, the 2nd
highest on record
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. 55
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
56
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
Avg. CAT Loss Component of the Combined Ratio
by Decade
1960s: 1.04 1970s: 0.85 1980s: 1.31 1990s: 3.39 2000s: 3.52 2010s: 7.20*
Combined Ratio Points Catastrophe losses as a share of all losses reached
a record high in 2012
Homeowners Insurance Combined Ratio: 1990–2015F
113.
011
7.7
158.
411
3.6
101.
0 109.
410
8.2
111.
4 121.
710
9.3
98.2
94.4 10
0.3
89.0 95
.711
6.9
105.
810
6.7
122.
210
4.4
101.
710
1.2
100.
7
118.
411
2.7 12
1.7
80
90
100
110
120
130
140
150
160
170
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12E13F 14F 15F
1
Homeowners Performance in 2011/12 Impacted by Large Cat Losses. Extreme Regional Variation Can Be Expected Due to
Local Catastrophe Loss Activity
Sources: A.M. Best (1990-2011);Conning (2012E-2015F); Insurance Information Institute. 57
Hurricane Ike
Hurricane Sandy
Record tornado activity
Hurricane Andrew
Number of Federal Disaster Declarations, 1953-2013*
1317 18 16 16
7 712 12
22 2025 25
11 1119
2917 17
48 46 4638
3022 25
4223
1524 21
3427 28
2311
3138
4532
3632
7544
6550
45 4549
5669
4852
6375
5981
9947
25
43
0
20
40
60
80
100
120
53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 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
*Through June 23, 2013.Source: Federal Emergency Management Administration; http://www.fema.gov/disasters; Insurance Information Institute.
The Number of Federal Disaster Declarations Is Rising and Set New Records in 2010 and 2011. Hurricane Sandy Produced 13 Declarations in 2012/13.
The number of federal disaster declarations set a
new record in 2011, with 99, shattering 2010’s record 81
declarations.
There have been 2,115 federal disaster
declarations since 1953. The average
number of declarations per year is 35 from 1953-2012, though
there few haven’t been recorded since 1995.
24 federal disasters were declared so far in 2013*
59
62
SEVERE WEATHER REPORT UPDATE: 2013
Damage from Tornadoes, Large Hail and High Winds Keep Insurers Busy
62
Severe Weather Reports, 2012
63Source: NOAA Storm Prediction Center; http://www.spc.noaa.gov/climo/online/monthly/2012_annual_summary.html#
There were 22,503 severe
weather reports in 2011;
including 1,119 tornadoes;
7,033 “Large Hail” reports
and 14,351 high wind events
Severe Weather Reports:Through June 17, 2013
64Source: NOAA Storm Prediction Center; http://www.spc.noaa.gov/climo/online/monthly/2013_annual_summary.html#
There were 8,976 severe
weather reports through June 17; including
573 tornadoes; 3,002 “Large Hail” reports
and 5,401 high wind events
U.S. Tornado Count, 2005-2013*
65*Through June 22, 2013.Source: http://www.spc.noaa.gov/wcm/.
2013 count is running well
below average
There were 1,897 tornadoes in the U.S. in 2011 far
above average, but well below 2008’s record
Terrorism Update
66
Boston Marathon Bombings Underscore the Need for
Extension of the Terrorism Risk Insurance Program
66
67
Terrorism Risk Insurance Program Reauthorization Was a Major Industry Initiative for 2013
Even Before Boston I.I.I. Testified at First Congressional Hearing on 9/11/12
Provided testimony at NYC hearing on 6/17/13 I.I.I. Accelerated Planned Study on Terrorism Risk and
Insurance in the Wake of Boston and Was Well Received Terrorism: A Constant Threat issued in June 2013
68
Terrorism Risk Insurance Program Boston Marathon Bombing Has Helped Focus Attention in Congress
on TRIPRA and its Looming Expiration Act expires 12/31/14 Exclusionary language will likely be inserted for post-1/1/2014 renewals
and will likely lead to significant media interest (educational opportunity) Numerous headwinds; not a priority issue in 2013 in Congress 3 extension bills introduced in 2013—2 since Boston
Media Interest Soared I.I.I. was conducting its first interviews within minutes after live-tweeting
(nearly) from the scene; TV interest was high Local, national and international media focused on this topic for the first
time in any significant way since TRIA’s inception in late 2002 Inquiries revealed very little/no understanding (or even awareness)
outside insurance industry and business owners Certification process caused confusion
Hurricane Sandy Summary
74
Sandy Will Become One of the Most Expensive Events in
Insurance History
74
Hurricane Sandy: Claim Payments to Policyholders, by State
$9,600
$6,300
$700 $500 $410 $295 $292 $210 $103 $84 $57 $55 $37 $36 $13$58$0
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
NY NJ PA CT MD VA OH MA RI DE WV NC NH DC ME VT
Insurers Will Pay at Least $18.75 Billion to 1.52 Million Policyholders Across 15 States and DC in the Wake of Hurricane Sandy
77
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. 78
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. 79
Total Claim Value = $18.75 Billion*
84
$6,558$10,994
$44,563$51,996
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
Homeowners* Vehicle Commercial NFIP Flood**
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). **Preliminary as of May 14, 2013.Sources: Catastrophe loss data is for Catastrophe Serial No. 90 (Oct. 28 – 31, 2012) from PCS as of March 2013; Insurance Information Institute.
Hurricane Sandy: Average Claim Payment by Type of Claim
The average insured flood loss was nearly 8 times larger than the average non-flood insured loss
(mostly wind)
Commercial (Business) Claims Were Nearly Seven Times More Expensive than Homeowners Claims; Vehicle Claims Were Unusually Expensive
Due to Extensive Flooding
Public Opinion Survey
91
Industry Favorability RatingsPolicy Forms & Disclosure
Disaster Preparedness
91
92
I.I.I. Poll: Favorability
Source: Insurance Information Institute Annual Pulse Survey.
36% 36%32%
28%
61%58% 56%
53% 51%47%
10%
20%
30%
40%
50%
60%
70%
Auto insurance Homeinsurance
Life insurance Banking Electric utilitycompanies
Healthinsurance
Mutual fundsPharmaceuticalcompanies
Oil and gascompanies
Financialservices
companies
Percent of Public Rating Industry as Very or Mostly Favorable, 2013
Auto Insurers and Home Insurers Ranked Highest.
Viewed separately, auto and home insurers have highest favorability ratings of all industries surveyed
93
I.I.I. Poll: Homeowners Insurance
Q. Do you think that it is fair that people who live in areas affected by record storms in 2011 and 2012 should pay more for their homeowners insurance in the future?
Source: Insurance Information Institute Annual Pulse Survey.
Nearly 60 percent of Americans believe that homeowners insurance premiums should not be raised as a result of recent storms in their areas.
4%
37%
59%
Don’t know
Yes
No
Public believes it is not fair to raise
premiums of homeowners due
to events they cannot control
94
I.I.I. Poll: Flood Insurance
Source: Insurance Information Institute Annual Pulse Survey.
55%46% 47%
58% 61%
0%
20%
40%
60%
80%
Total U.S. Northeast West Midwest South
Q. The federal government plans to raise the price of flood insurance so it reflects the costs of paying claims. Do you believe this is fair? [% Responding “NO”]
More than one-half of Americans do not think it is fair for the federal government to raise its flood insurance premiums to better reflect claims
payouts.
Most people believe it is unfair for government to raise flood insurance premiums, even though
they are subsidized by taxpayers
95
I.I.I. Poll: Disaster Preparedness
1Asked of those who have homeowners insurance and who responded “yes”.
Source: Insurance Information Institute Annual Pulse Survey.
16%12%
32%
9%
20%23%
14%
32%
12%
22%24%
16%
29%
10%
21%
0%
5%
10%
15%
20%
25%
30%
35%
40%
Northeast Midwest South West Total U.S.
May-11 May-12 May-13
Q. Does your homeowners policy cover damage from flooding during a hurricane?1
The proportion of homeowners who believe their homeowners policy covers damage from flooding during a hurricane stands at 21 percent. This proportion rises eight percentage points in the South, to 29 percent.
About 20 percent of the public still believes flooding from a hurricane
is covered
96
I.I.I. Poll: Disaster Preparedness
1Asked of those who have homeowners insurance but not flood insurance.
Source: Insurance Information Institute Annual Pulse Survey.
4% 1% 5%0% 3%
96% 99%93%
100% 96%
0%
20%
40%
60%
80%
100%
Northeast Midwest South West Total U.S.
Yes No
Q. Have recent flooding events such as Hurricane Sandy or Hurricane Irene motivated you to buy flood coverage?1
Recent storms have not motivated people to buy flood insurance coverag.e
Despite recent major flood events, few people see the need to buy coverage
97
I.I.I. Poll: Disaster Preparedness
Q. If you expect some relief from the government, do you purchase less insurance coverage against these natural disasters than you would have otherwise?
Source: Insurance Information Institute Annual Pulse Survey.
Seventy-two percent of Americans would not purchase less insurance if they expect some relief from the government—but 22% would.
6%
22%
72%
Don’t know
Yes
No
More than 20 percent cut back
on insurance coverage in
expectation of government disaster aid
98
Growth Analysis by State and Business Segment
Premium Growth Rates Vary Tremendously by State
98
99
Direct Premiums Written: Total P/CPercent Change by State, 2007-2012*
58.4
25.4
24.5
21.0
19.2
17.6
16.3
13.2
13.2
12.4
9.9
9.2
9.2
8.5
8.0
6.2
5.8
5.2
4.5
4.4
4.3
4.3
4.2
4.0
3.8
3.6
0
10
20
30
40
50
60
70
ND SD OK NE IA KS VT AK
TX WY
MN AR
TN IN WI
KY
MT
OH LA VA NJ MI
SC CO
MO
NM
Pece
nt c
hang
e (%
)
*Data are preliminary as of 5/1/13 and do not yet fully reflect the impact of state-run pools and plans. Sources: SNL Financial LC.; Insurance Information Institute.
Top 25 States
100
Direct Premiums Written: Total P/CPercent Change by State, 2007-2012*
3.6
3.1
3.0
2.9
2.7
2.2
2.1
2.1
2.0
1.8
1.1
0.0
-0.1
-0.3
-0.7
-0.9
-2.8
-5.6
-6.0
-7.2
-7.2
-9.3
-10.
1
-11.
2
-12.
5
-17.
3
-20
-15
-10
-5
0
5
CT
MS
NC AL
MD PA U
.S.
MA IL WA
GA
UT
NH RI
ID ME
NY FL CA
DC
WV HI
AZ
OR DE NV
Pece
nt c
hang
e (%
)
Bottom 25 States
*Data are preliminary as of 5/1/13 and do not yet fully reflect the impact of state-run pools and plans. Sources: SNL Financial LC.; Insurance Information Institute.
111
Labor Market Trends
Massive Job Losses Sapped the Economy and Commercial/Personal
Lines Exposure, But Trend is Improving
111
112
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 7.5% in
Apr. 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 13.7%
in Apr. 2013
January 2000 through Apr. 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
112
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
416
431
915
4 176
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
Mar
-13
Apr
-13
Monthly Change in Private Employment
January 2007 through Apr. 2013 (Thousands)
Private Employers Added 6.74 million 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
176,000 private sector jobs were created in April
113
Jobs Created2012: 2.247 Mill2011: 2.420 Mill2010: 1.235 Mill
-0.0
17-0
.043
0.06
80.
238
0.34
00.
434
0.53
70.
666
0.77
90.
967
1.12
11.
235
1.31
51.
558
1.78
12.
084
2.26
72.
444
2.65
02.
779
3.03
53.
209
3.40
63.
655
3.97
84.
243
4.45
14.
571
4.72
34.
801
4.97
85.
109
5.22
75.
444
5.70
05.
924
6.08
86.
407
6.73
96.
561
-1.0
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
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-
11
Jul-1
1A
ug-1
1S
ep-1
1O
ct-1
1
Nov
-11
Dec
-11
Jan-
12
Feb-
12M
ar-1
2A
pr-1
2
May
-12
Jun-
12Ju
l-12
Aug
-12
Sep
-12
Oct
-12
Nov
-12
Dec
-12
Jan-
13Fe
b-13
Mar
-13
Mill
ions
Cumulative Change in Private Sector Employment: Jan. 2010—Apr. 2013January 2010 through April 2013* (Millions)
Source: US Bureau of Labor Statistics: http://www.bls.gov/ces/home.htm; Insurance Information Institute
Cumulative job gains through Apr. 2013 totaled 6.74 million
115
Job gains and pay increases have added more than $600 billion to payrolls
since Jan. 2010
Private Employers Added 6.74 million 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)
4-1
033
9251
128
798
-68
-224 -1
84-1
94-2
13-2
24-2
71-2
89-2
88-3
56 -324
-452
-449
-480
-488
-511
-530
-542
-536
-539
-547
-574 -565
-589 -555 -535
-592
-601
-606
-622 -609
-636-625
-800
-600
-400
-200
0
200
400
600
Jan-
10Fe
b-10
Mar
-10
Apr
-10
May
-10
Jun-
10
Jul-1
0A
ug-1
0S
ep-1
0O
ct-1
0
Nov
-10
Dec
-10
Jan-
11Fe
b-11
Mar
-11
Apr
-11
May
-11
Jun-
11
Jul-1
1A
ug-1
1S
ep-1
1O
ct-1
1
Nov
-11
Dec
-11
Jan-
12Fe
b-12
Mar
-12
Apr
-12
May
-12
Jun-
12
Jul-1
2A
ug-1
2S
ep-1
2O
ct-1
2
Nov
-12
Dec
-12
Jan-
13Fe
b-13
Mar
-13
Cumulative Change in Government Employment: Jan. 2010—Apr. 2013January 2010 through Apr. 2013* (Millions)
Source: US Bureau of Labor Statistics http://www.bls.gov/data/#employment; Insurance Information Institute
Cumulative job losses through Apr. 2013 totaled 636,000
116
Governments at All Levels are Under Severe Fiscal Strain As Tax Receipts Plunged and Pension Obligations Soared During the
Financial Crisis: Sequestration Will Add to this Toll
Government at all levels has shed more than 600,000 jobs
since Jan. 2010 even as private employers created 6.74 million jobs, though
losses may now be ending.
Temporary Census hiring distorted 2010
figures
118
Unemployment Rates by State, April 2013:Highest 25 States*
9.6
9.3
9.1
9.0
8.9
8.8
8.7
8.5
8.5
8.4
8.2
8.0
8.0
8.0
8.0
7.9
7.9
7.8
7.6
7.5
7.2
7.2
7.1
7.1
7.0
7.0
0
2
4
6
8
10
12
NV IL MS CA NC RI NJ DC IN MI GA CT OR SC TN AZ KY NY PA US DE FL AR WI OH WA
Une
mpl
oym
ent R
ate
(%)
*Provisional figures for April 2013, seasonally adjusted.Sources: US Bureau of Labor Statistics; Insurance Information Institute.
In April, 40 states and the District of Columbia had over-
the-month unemployment rate decreases, 3 states had increases, and 7 states had
no change.
119
6.9
6.9
6.9
6.7
6.6
6.6
6.5
6.5
6.4
6.4
6.1
6.0
5.5
5.5
5.5
5.3
5.2
4.9
4.9
4.8
4.7
4.7
4.1
4.0
3.7
3.3
0
2
4
6
8
AL CO ME NM MO WV LA MD MA TX ID AK KS MT NH MN VA HI OK WY IA UT SD VT NE ND
Une
mpl
oym
ent R
ate
(%)
Unemployment Rates by State, April 2013: Lowest 25 States*
*Provisional figures for April 2013, seasonally adjusted.Sources: US Bureau of Labor Statistics; Insurance Information Institute.
In April, 40 states and the District of Columbia had
over-the-month unemployment rate
decreases, 3 states had increases, and 7 states had
no change.
120
Oil & Gas Extraction Employment,Jan. 2010—April 2013*
*Seasonally adjustedSources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
156.
415
6.4
156.
715
7.6
158.
715
7.8
158.
015
9.5
160.
016
1.5
161.
216
1.2
163.
116
4.4
166.
6 169.
317
0.1
171.
017
2.5
173.
6 176.
317
8.2
178.
518
0.9
181.
918
3.1
184.
818
5.2
185.
718
6.8
187.
618
8.0
188.
018
8.2
190.
019
1.7
191.
919
3.1
192.
519
2.5
150
155
160
165
170
175
180
185
190
195
200
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-
13Fe
b-13
Mar
-13
Apr
-13
Oil and gas extraction employment is up 23.1%
since Jan. 2010 as the energy sector booms.
Domestic energy production is essential to
any robust economic recovery in the US.
(Thousands)
121
US Unemployment Rate Forecast4.
5%4.
5% 4.6% 4.8% 4.9% 5.
4%6.
1%6.
9%8.
1%9.
3% 9.6% 10
.0%
9.7%
9.6%
9.6%
8.9% 9.1%
9.1%
8.7%
8.3%
8.2%
8.0%
7.8%
7.7%
7.5%
7.5%
7.4%
7.3%
7.1%
7.0%
6.9%
9.6%
4.0%
5.0%
6.0%
7.0%
8.0%
9.0%
10.0%
11.0%
07:Q
107
:Q2
07:Q
307
:Q4
08:Q
108
:Q2
08:Q
308
:Q4
09:Q
109
:Q2
09:Q
309
:Q4
10:Q
110
:Q2
10:Q
310
:Q4
11:Q
111
:Q2
11:Q
311
:Q4
12:Q
112
:Q2
12:Q
312
:Q4
13:Q
113
:Q2
13:Q
313
:Q4
14:Q
114
:Q2
14:Q
314
:Q4
Rising unemployment
eroded payrolls
and workers comp’s
exposure base.Unemployment peaked at 10%
in late 2009.
* = actual; = forecastsSources: US Bureau of Labor Statistics; Blue Chip Economic Indicators (6/13 edition); Insurance Information Institute.
2007:Q1 to 2014:Q4F*
Unemployment forecasts have been revised slightly
downwards. Optimistic scenarios put the
unemployment as low as 6.6% by Q4 of next year.
Jobless figures have been revised
slightly downwards for 2013/14
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12*
$25
$30
$35
$40
$45
$50Wage & Salary DisbursementsWC NPW
124
Payroll Base* WC NWP
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
$33.8B in 2010 after peaking at $47.8B
in 2005
+9% in 2012E
The BIG Question:Where Is the Market Heading?
125
Catastrophes and Other Factors Are Pressuring Insurance Markets
125
New Factor: Record Low Interest Rates Are Contributing to
Underwriting and Pricing Pressures
INVESTMENTS: THE NEW REALITY
126
Investment Performance is a Key Driver of Profitability
Depressed Yields Will Necessarily Influence Underwriting & Pricing
126
Property/Casualty Insurance Industry Investment Income: 2000–2013*1
$38.9$37.1 $36.7
$38.7
$54.6
$51.2
$47.1 $47.6$49.2
$47.7$45.5
$39.6
$49.5$52.3
$30
$40
$50
$60
00 01 02 03 04 05 06 07 08 09 10 11 12 13*
Investment Income Fell in 2012 and is Falling in 2013 Due to Persistently Low Interest Rates, Putting Additional Pressure on (Re) Insurance Pricing
1 Investment gains consist primarily of interest and stock dividends..*Estimate based on annualized actual Q1:2013 investment income of $11.385B.Sources: ISO; Insurance Information Institute.
($ Billions)
Investment earnings are running below their 2007
pre-crisis peak
128
P/C Insurer Net Realized Capital Gains/Losses, 1990-2013:Q1
Sources: A.M. Best, ISO, Insurance Information Institute.
$2.8
8
$4.8
1 $9.8
9
$9.8
2
$10.
81 $18.
02
$13.
02
$16.
21
$6.6
3
-$1.
21
$6.6
1
$9.1
3
$9.7
0
$3.5
2 $8.9
2
-$7.
90
$5.8
5
$7.0
4
$6.2
1
$1.3
8
-$19
.81
$9.2
4
$6.0
0
$1.6
6
-$25-$20-$15-$10
-$5$0$5
$10$15$20
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 1213:Q1
Insurers Posted Net Realized Capital Gains in 2010, 2011 and 2012 Following Two Years of Realized Losses During the Financial Crisis. Realized Capital
Losses Were the Primary Cause of 2008/2009’s Large Drop in Profits and ROE
($ Billions) Realized capital gains in 2012 were down 12% from 2011
Property/Casualty Insurance Industry Investment Gain: 1994–2013:Q11
$35.4
$42.8$47.2
$52.3
$44.4
$36.0
$45.3$48.9
$59.4$55.7
$64.0
$31.7
$39.2
$53.4$56.2$53.9
$12.8
$58.0$51.9
$56.9
$0
$10
$20
$30
$40
$50
$60
$70
94 95 96 97 98 99 00 01 02 03 04 05* 06 07 08 09 10 11 12 13:Q1
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 $3.2B; Sources: ISO; Insurance Information Institute.
($ Billions)
Investment gains in 2012 were approximately 16%
below their pre-crisis peak
130
U.S. 10-Year Treasury Note Yields:A Long Downward Trend, 1990–2013*
*Monthly, through Apr. 2013. Note: Recessions indicated by gray shaded columns.Sources: Federal Reserve Bank at http://www.federalreserve.gov/releases/h15/data.htm. National Bureau of Economic Research (recession dates); Insurance Information Institutes.
1%
2%
3%
4%
5%
6%
7%
8%
9%
'90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13
Yields on 10-Year U.S. Treasury Notes have been essentially below 5% for a full decade.
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.
Yields on 10-Year U.S. Treasury Notes recently
plunged to all time record lows
130
133
Distribution of Bond Maturities,P/C Insurance Industry, 2003-2012
16.0%
15.2%
15.7%
16.2%
16.3%
29.8%
29.2%
28.8%
29.5%
30.0%
32.4%
36.2%
39.5%
41.4%
40.4%
31.3%
32.5%
34.1%
34.1%
33.8%
31.2%
28.7%
26.7%
26.8%
27.6%
15.4%
15.4%
13.6%
13.1%
12.9%
12.7%
11.7%
11.1%
10.3%
9.8%
9.2%
7.6%
7.6%
7.4%
8.1%
8.1%
7.3%
6.4%
6.3%
5.7%16.5%
15.2%
14.4%
16.0%
15.4%
0% 20% 40% 60% 80% 100%
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
Under 1 year1-5 years5-10 years10-20 yearsover 20 years
Sources: SNL Financial; Insurance Information Institute.
The main shift over these years has been from bonds with longer maturities to bonds with shorter maturities. The industry first trimmed its holdings of over-10-year bonds
(from 24.6% in 2003 to 15.5% in 2012) and then trimmed bonds in the 5-10-year category (from 31.3% in 2003 to 27.6% in 2012) . Falling average maturity of the P/C industry’s bond portfolio is contributing to a drop in investment income along with lower yields.
134
-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*
134
137
P/C Insurance Industry Combined Ratio, 2001–2013:Q1*
* 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. Sources: A.M. Best, ISO.
95.799.3
100.8
106.3
102.4
94.8
101.0
92.6
100.898.4
100.1
107.5
115.8
90
100
110
120Best
Combined Ratio Since 1949 (87.6)
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
Lower CAT
Losses Before Sandy
Underwriting Gain (Loss)1975–2013:Q1*
* Includes mortgage and financial guaranty insurers in all years.Sources: A.M. Best, ISO; Insurance Information Institute.
Large Underwriting Losses Are NOT Sustainable in Current Investment Environment
-$55
-$45
-$35
-$25
-$15
-$5
$5
$15
$25
$35
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 1213:Q1
Cumulative underwriting deficit from 1975 through
2012 is $510B
($ Billions)Underwriting
profit in 2013:Q1
totaled $4.6B
High cat losses in 2011 led to the highest
underwriting loss since 2002
Financial Strength & Underwriting
142
Cyclical Pattern is P-C Impairment History is Directly Tied to
Underwriting, Reserving & Pricing
142
144
P/C Insurer Impairment Frequency vs. Combined Ratio, 1969-2011
90
95
100
105
110
115
12069 70 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
Com
bine
d R
atio
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
Impairm
ent Rate
Combined Ratio after Div P/C Impairment Frequency
Source: A.M. Best; Insurance Information Institute
2011 impairment rate was 0.91%, up from 0.67% in 2010; the rate is slightly higher than the 0.82% average since 1969
Impairment Rates Are Highly Correlated With Underwriting Performance and Reached Record Lows in 2007; Recent Increase Was Associated
Primarily With Mortgage and Financial Guaranty Insurers and Not Representative of the Industry Overall
148
Performance by Segment
148
Private Passenger Auto Combined Ratio: 1993–2015F
101.
7
101.
3
101.
3
101.
0
109.
5
107.
9
104.
2
98.4
94.3
95.1
95.5 98
.3 100.
3
101.
3
101.
0
101.
9
99.6
99.4
98.6
98.399
.5 101.
1
103.
5
80
85
90
95
100
105
110
115
93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12E13F14F15F
Private Passenger Auto Accounts for 34% of Industry Premiums and Remains the Profit Juggernaut of the P/C Insurance Industry
149Sources: A.M. Best (1990-2012E);Conning (2013F-15F); Insurance Information Institute.
Homeowners Insurance Combined Ratio: 1990–2015F
113.
011
7.7
158.
411
3.6
101.
0 109.
410
8.2
111.
4 121.
710
9.3
98.2
94.4 10
0.3
89.0 95
.711
6.9
105.
810
6.7
122.
210
4.4
101.
710
1.2
100.
7
118.
411
2.7 12
1.7
80
90
100
110
120
130
140
150
160
170
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12E13F 14F 15F
1
Homeowners Performance in 2011/12 Impacted by Large Cat Losses. Extreme Regional Variation Can Be Expected Due to
Local Catastrophe Loss Activity
Sources: A.M. Best (1990-2011);Conning (2012E-2015F); Insurance Information Institute. 150
Hurricane Ike
Hurricane Sandy
Record tornado activity
Hurricane Andrew
109.
4
110.
211
8.8
109.
5 112.
5
110.
210
7.6
104.
110
9.7
110.
2
102.
5 105.
4
91.1 93
.6
104.
298
.9
102.
110
6.7
104.
910
2.1
101.
4
101.
3
102.
0
111.
1
112.
3
122.
3
90
95
100
105
110
115
120
125
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13F
14F
15F
Com
mer
cial
Lin
es C
ombi
ned
Rat
io
*2007-2012 figures exclude mortgage and financial guaranty segments.Source: A.M. Best (1990-2011); Conning (2012-2015F) Insurance Information Institute
Commercial Lines Combined Ratio, 1990-2015F*
Commercial lines underwriting
performance is expected to improve as
improvement in pricing environment persists
153
Workers Compensation Combined Ratio: 1994–2012P
102.
0
97.0 10
0.0
101.
0
112.
6
108.
6
105.
1
102.
7
98.5 10
3.5
104.
5 110.
6 115.
0
115.
0
109.
0
121.
7
107.
0
115.
3
118.
2
80
85
90
95
100
105
110
115
120
125
130
94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12
Workers Comp Results Began to Improve in 2012. Underwriting Results Deteriorated Markedly from 2007-
2010/11 and Were the Worst They Had Been in a Decade. Sources: A.M. Best (1994-2009); NCCI (2010-2012P) and are for private carriers only; Insurance Information Institute. 161
WC showed a better-than-expected
improvement for private carriers in 2012
2. SURPLUS/CAPITAL/CAPACITY
171
How Will Large Catastrophe Losses Impact Capacity?
171
173
Policyholder Surplus, 2006:Q4–2013:Q1
Sources: ISO, A.M .Best.
($ Billions)
$487.1$496.6
$512.8$521.8
$478.5
$455.6
$437.1
$463.0
$490.8
$511.5
$540.7$530.5
$544.8$559.2 $559.1
$538.6$550.3
$567.8
$583.5$586.9
$607.7
$570.7$566.5
$505.0$515.6$517.9
$420$440$460$480$500$520$540$560$580$600$620
06:Q407:Q107:Q207:Q307:Q408:Q108:Q208:Q308:Q409:Q109:Q209:Q309:Q410:Q110:Q210:Q310:Q411:Q111:Q211:Q311:Q412:Q112:Q212:Q312:Q413:Q1
2007:Q3Pre-Crisis Peak
Surplus as of 3/31/13 stood at a record high $607.7B
*Includes $22.5B of paid-in capital from a holding company parent for one insurer’s investment in a non-insurance business in early 2010.
The Industry now has $1 of surplus for every $0.80
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 Both Entered and Emerged from the 2012 Hurricane
Season Very Strong Financially.
174
U.S. INSURANCE MERGERS AND ACQUISITIONS, 2002-2012 (1)
$9,704
$59,925
$14,878
$50,793
$43,022
$50,417
$31,435
$14,373
$46,509
$54,724
$43,152
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Tran
sact
ion
valu
es
0
100
200
300
400
500
600
Num
ber of transactions
($ Millions)
(1) Includes transactions where a U.S. company was the acquirer and/or the target.
Source: Conning proprietary database.
M&A activity has returned to its pre-crisis levels.
4. RENEWED PRICING DISCIPLINE
180
Evidence of a Broad and Sustained Shift in Pricing
180
182
-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
Net Premium Growth: Annual Change, 1971—2012(Percent)
1975-78 1984-87 2000-03
Shaded areas denote “hard market” periodsSources: A.M. Best (historical and forecast), ISO, Insurance Information Institute.
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.
2012 growth
was +4.3%
183
P/C Net Premiums Written: % Change, Quarter vs. Year-Prior Quarter
Sources: ISO, Insurance Information Institute.
Sustained Growth in Written Premiums(vs. the same quarter, prior year) Will Continue through 2013
10.2
%15
.1%
16.8
%16
.7%
12.5
%10
.1%
9.7%
7.8%
7.2%
5.6%
2.9%
5.5%
-4.6
%-4
.1%
-5.8
%-1
.6%
10.3
%10
.2% 13
.4%
6.6%
-1.6
%2.
1%0.
0%-1
.9%
0.5%
-1.8
%-0
.7%
-4.4
%-3
.7%
-5.3
%-5
.2%
-1.4
%-1
.3%
1.3% 2.
3%1.
7% 3.5%
1.6%
4.1%
3.8%
3.0% 4.
2% 5.1%
4.8%
4.1%
-10%
-5%
0%
5%
10%
15%
20%
2002
:Q1
2002
:Q2
2002
:Q3
2002
:Q4
2003
:Q1
2003
:Q2
2003
:Q3
2003
:Q4
2004
:Q1
2004
:Q2
2004
:Q3
2004
:Q4
2005
:Q1
2005
:Q2
2005
:Q3
2005
:Q4
2006
:Q1
2006
:Q2
2006
:Q3
2006
:Q4
2007
:Q1
2007
:Q2
2007
:Q3
2007
:Q4
2008
:Q1
2008
:Q2
2008
:Q3
2008
:Q4
2009
:Q1
2009
:Q2
2009
:Q3
2009
:Q4
2010
:Q1
2010
:Q2
2010
:Q3
2010
:Q4
2011
:Q1
2011
:Q2
2011
:Q3
2011
:Q4
2012
:Q1
2012
:Q2
2012
:Q3
2012
:Q4
2013
:Q1
Premium growth in Q1 2013 was up 4.1% over Q1 2012, marking the
12th consecutive quarter of growth
185
Average Commercial Rate Change,All Lines, (1Q:2004–1Q:2013)
-3.2
%-5
.9%
-7.0
%-9
.4%
-9.7
% -8.2
%-4
.6% -2.7
%-3
.0%
-5.3
%-9
.6%
-11.
3%-1
1.8%
-13.
3%-1
2.0%
-13.
5%-1
2.9% -11.
0%-6
.4%
-5.1
%-4
.9%
-5.8
%-5
.6%
-5.3
%-6
.4%
-5.2
%-5
.4% -2
.9%
2.7% 4.
4%4.
3%3.
9% 5.0%
5.2%
-0.1
% 0.9%
-0.1
%
-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
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
KRW Effect
Pricing as of Q1:2013 was positive for the 8th consecutive
quarter. Gains are likely to continue through 2013.
(Percent)
Q2 2011 marked the last of 30th
consecutive quarter of price declines
186
Change in Commercial Rate Renewals, by Account Size: 1999:Q4 to 2013:Q1
Source: Council of Insurance Agents and Brokers; Barclay’s Capital; Insurance Information Institute.
Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.
Percentage Change (%)
Pricing turned positive in Q3:2011, the first increase in
nearly 8 years; Q1:2013 renewals were up 5.2%, the largest increase since late
2003; Some insurers posted stronger numbers.
KRW : No Lasting Impact
Pricing Turned Negative in Early
2004 and Remained that
way for 7 ½ years
Peak = 2001:Q4 +28.5%
Trough = 2007:Q3 -13.6%
CYBER RISK
199
Cyber Risk is a Rapidly Emerging Exposure for Businesses Large
and Small in Every IndustryNEW III White Paper:
http://www.iii.org/assets/docs/pdf/paper_CyberRisk_2013.pdf
199
Data Breaches 2005-2013, By Number of Breaches and Records Exposed# Data Breaches/Millions of Records Exposed
* 2013 figures as of March 19, 2013.Source: Identity Theft Resource Center
157
321
446
656
498
419447
662
17.322.935.7
19.1
66.9
222.5
16.2
127.7
100
200
300
400
500
600
700
2005 2006 2007 2008 2009 2010 2011 2012020406080100120140160180200220
# Data Breaches # Records Exposed (Millions)
The total number of data breaches and number of records exposed fluctuates from year to year and over time.
Millions
201
2012 Data Breaches By Business Category, By Number of Breaches
3.8%11.2%
13.6%
34.5%
36.9%
Source: Identity Theft Resource Center, http://www.idtheftcenter.org/ITRC%20Breach%20Report%202012.pdf.
The majority of the 447 data breaches in 2012 affected business and medical/healthcare organizations, according to the Identity Theft Resource Center.
Business, 165 (36.9%)Govt/Military, 50 (11.2%)
Banking/Credit/Financial, 17 (3.8%)
Educational, 61 (13.6%)
Medical/Healthcare, 154 (34.5%)
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213