homeowners insurance: the national market and trends residential property insurance symposium...
TRANSCRIPT
Homeowners Insurance:The National Market
and TrendsResidential Property Insurance Symposium
Charlotte, NC May 31, 2013
Steven N. Weisbart, Ph.D., CLU, Senior Vice President & Chief EconomistInsurance Information Institute 110 William Street New York, NY 10038
Tel: 212.346.5540 Cell: 917.494.5945 [email protected] www.iii.org
2
P/C Net Written Premiums,by Segment/Line, 2002 vs. 2012
Sources: A.M. Best; Insurance Information Institute research.
Commercial Lines$205.6B/46%
2012
Pvt. Pass Auto$171.8B/39%
Homeowners$66.6B/15%
2002
Commercial Lines$188.1B/50%
Homeowners$40.3B/11%
Pvt. Pass Auto$146.9B/39%
Homeowners insurance NWP grew from 11% to 15% of total P/C premiums, growing faster than commercial insurance NWP
(which shrank, as a percent of total P/C NWP, from 50% to 46%).
3
Homeowners InsuranceNet Written Premium, 2000–2012
$32.54$35.40
$40.30
$45.94
$49.98$53.01
$55.78 $57.05 $57.38 $58.48$62.03
$64.14$66.63
8.8%
13.8% 14.0%
8.8%
6.1%5.2%
2.3%
0.6%
1.9%
6.1%
3.4%3.9%
$25
$50
$75
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 20120%
2%
4%
6%
8%
10%
12%
14%
16%
HO NWP Pct Change
Sources: SNL Financial; Insurance Information Institute.
$ Billions
Homeowners insurance NWP resumed rising in 2010 after very low growth in 2007-09. Continued growth depends on exposure growth, the
composition of the market (renters vs. owners), and other factors.
Pct. Change
5
Homeowners Insurance Profit, 2011, by State
42.9
24.9
22.8
20.0
19.0
18.8
17.9
14.8
14.6
14.5
13.0
12.9
12.9
8.0
7.1
6.3
5.4
4.4
2.9
2.7
1.7
1.6
-0.4
-1.0
-1.4
-5
0
5
10
15
20
25
30
35
40
45
HI FL OR LA CA WA ID ME DE NV AK NH ND NY MI WV VT RI MT KY MS NM CO VA TX
Ret
urn
on N
et W
orth
(%)
Sources: NAIC 2012 Profitability Report; Insurance Information Institute.
Highest 25 States
In 2011, Homeowners insurance produced double-digit percentage
profits in just 13 states
US average:-3.8%
6
Homeowners Insurance Profit, 2011, by State
-2.3
-4.5
-6.1
-7.2
-7.9
-8.1
-9.6
-9.8
-10
.3
-11
.0
-11
.7
-11
.8
-12
.2
-16
.7
-20
.7
-24
.1
-29
.3
-32
.2
-32
.7
-35
.2
-35
.5
-39
.1
-50
.1
-81
.2
-10
1.3
-120-110-100-90-80-70-60-50-40-30-20-10
0
MN OK UT IN NE SC IL WI MA GA NJ PA MD AZ OH WY SD AR CT NC IA MO KS AL TN
Re
turn
on
Ne
t W
ort
h (
%)
Sources: NAIC 2012 Profitability Report; Insurance Information Institute.
Lowest 25 States
US average:-3.8%
7
45
.7
20
.3
19
.7
19
.6
19
.2
17
.9
17
.8
16
.4
15
.8
15
.7
15
.7
14
.9
14
.8
12
.7
12
.3
11
.7
11
.2
10
.7
10
.1
10
.1
10
.0
9.2
19
.0
18
.0
14
.00
5
10
15
20
25
30
35
40
45
50
HI AK RI SC NV DE OR NY CA UT MA CT WA ME VT ID ND NM VA NH PA MI NC NJ AZ
RN
W H
O
*Latest available.Source: NAIC.
Return on Net Worth: Homeowners Insurance, 10-Year Average (2002-2011*)
Hawaii was the most profitable state for home insurers from
2002-2011 due to the absence of hurricanes during this period
(Percent) Top 25 States
8
8.6
7.8
7.2
6.1
5.8
5.7
5.5
5.4
4.8
8.0
1.0
-4.5
-5.0
-5.6
-6.0
-7.4
-7.9 -8.3
-15
.1
-16
.1
-24
.0
-26
.3
-1.5
-0.1
0.1
4.5
-40-35-30-25-20-15-10-505
1015
MT MD CO WY WV SD WI NE U.S. IA IL TX KS FL IN OH MN MO AR KY OK GA AL TN LA MS
RN
W H
O
*Latest available.Sources: NAIC
Hurricanes Katrina and Rita made Louisiana and Mississippi the least profitable states for home insurers
from 2002-2011
Bottom 25 States(Percent)
Return on Net Worth: Homeowners Insurance, 10-Year Average (2002-2011*)
15
Return on Net Worth: All P-C Linesvs. Homeowners, 1990-2011*
*Latest available.**Excluding Hurricane Andrew (1992); Including 1992 produces an average homeowners RNW of 0.5%.Sources: NAIC; Insurance Information Institute.
-60%
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11
US All Lines US HomeAverage RNW: 1990-2011*
All P-C Lines: 7.8% Homeowners: 3.2%**
Homeowners Insurance Is Considerably More Volatile than the Market Overall Due to Coastal Exposure and Interior Wind/Hail Events
Hurricane Irene
Katrina, Rita, Wilma
Texas “Mold” Crisis
Number of Insurers Competing
Total Market Share of
Top 5 Insurers
HHI
US 400 46.7% 668.9
North Carolina
63 58.8% 896.1
South Carolina
68 55.2% 943.6
Sources: SNL Financial; Insurance Information Institute
The Marketplace for HO Premiumsis Quite Competitive, 2012
Note: An HHI score under 1,000 is considered a competitive marketplace.
Example: In a market, the top 5 insurers’ market share is 16%, 14%, 12%, 10%, and 8%. Total market share of these insurers is 60%. The HHI score for the state is likely to be 900-1000.
17
Demographic and Macroeconomic Forces Affecting Homeowners
InsuranceBrighter Days Ahead,
but Not Without Challenges
18
Projected Population Growth Rates (2010-2020) Vary Widely by State and Region*
21.6
%14
.6%
13.1
%11
.3%
9.3%
8.8%
8.5%
6.4%
3.7%
2.9%
2.3%
-1.5
%
10.0
%8.
9%4.
9%1.
6%0.
7%
10.0
%5.
9%3.
8%3.
4%3.
1%2.
7%
11.6
%
5.3%
-4%
0%
4%
8%
12%
16%
20%
24%
FL NC
GA
VA
MS TN SC
AR KY
AL
LA WV
MD DE NJ
PA NY
NH VT
ME RI
MA CT
AK HI
Une
mpl
oym
ent R
ate
(%)
*based on 2000 census.Source: http://www.census.gov/population/projections/data/state/projectionsagesex.html (Table 7)
Southeast Mid-Atlantic New England
U.S. population growth overall, 2010-2020, is projected to be 8.7%
19
Projected Population Growth Rates (2010-2020) Vary Widely by State and Region* (cont’d)
28
.3%
4.8
%
2.0
%
0.4
%-1
.0%
-1.9
%
27
.4%
4.0
%5.3
%
16
.2%
15
.2%
9.3
%
5.6
%2
.1%
14
.8%
3.7
%
8.9
%
4.7
%
2.6
%
3.0
%
0.6
%2.5
%
13
.6%
12
.4%
10
.9%
-4%
0%
4%
8%
12%
16%
20%
24%
28%
32%
AZ
TX
NM
OK
UT ID CO
MT
WY
NV
WA
OR
CA
WI
IN MI
IL OH
MN
MO
KS
SD IA ND
NE
*based on 2000 census.Source: http://www.census.gov/population/projections/data/state/projectionsagesex.html (Table 7)
Southwest Mountain Far West Great PlainsGreat Lakes
U.S. population growth overall, 2010-2020, is projected to be 8.7%
20
As the Population Ages, the Numberof People per Household Shrinks (2012)
2.292.07
1.911.60
2.642.98
3.343.353.06
2.65
0.0
1.0
2.0
3.0
4.0
25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-74 75 andover
Source: US Census Bureau at http://www.census.gov/hhes/families/data/cps2012.html Table AVG1.
As the “baby boom” ages and households get smaller, this will spur growth of smaller homes that are more suited to their requirements.
Average Household Size
Age of Householder
The number of households in these
age brackets will soar in the next 20 years
21
24.8
29.7
9.8
27.2
3.9
23.6
32.9
11.2
31.2
5.1
0
5
10
15
20
25
30
35
Husband/wifew/own children
Husband/wifew/no children
Single parents Individualsliving alone
Multi-generationhouseholds
2000
2010
Millions
Changes in Household Composition, 2000-2010
Sources: U.S. Census Bureau, “Households and Families: 2010,” issued April 2012.; Insurance Information Institute.
The number of traditional households (husband, wife, children at home) fell by 1.25 million in the first decade of the 21st century. Multi-generation
households rose by roughly the same number in that decade.
Down 5%
Up 14.4%
Up 14.6%
Up 30.8%
Up 14.7%
22
Millions of Units
Private Housing Unit Starts, 1990-2014F
1.4
8
1.4
7 1.6
2
1.6
4
1.5
7
1.6
0 1.7
1 1.8
5 1.9
6 2.0
7
1.8
0
1.3
6
0.9
1
0.5
5
0.5
9
0.6
1 0.7
8
1.0
2 1.2
31.3
51.4
6
1.2
9
1.2
0
1.0
11.1
9
0.25
0.50
0.75
1.00
1.25
1.50
1.75
2.00
2.25
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
Sources: U.S. Department of Commerce; Blue Chip Economic Indicators (5/13); 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 also benefit.
Starts plunged 72% from 2005-2009 to lowest level since
records began in 1959
Forecast range for 2013 is 0.90 to 1.35 million
unitsHousing“Bubble”
So Far, the Pickup Is Mostly in Multi-Family Housing Starts
100
150
200
250
300
350
400
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013*
400
600
800
1000
1200
1400
1600
1800
units in multi-family buildings single family units
*average of annualized seasonally adjusted January-April 2013 data; April is preliminary.Source: US Census Bureau at www.census.gov/construction/nrc/pdf/newresconst.pdf.
Thousands of Units, Multi-Family
2013:Q1 multi-unit starts at a seasonally adjusted annual rate of 325,000,are nearly back to the average annual pre-recession rate of 339,000.
Multi-family-unit starts rose in 2011, more in 2012, still
more so far in 2013.
Thousands of Units, Single Family
Multi-family plunge did not begin until 2009
Single family plunge began
in 2006
24
Number of Rental-Occupied Housing Units, Quarterly, 1990-2013
32
34
36
38
40
42
90
:Q1
91
:Q1
92
:Q1
93
:Q1
94
:Q1
95
:Q1
96
:Q1
97
:Q1
98
:Q1
99
:Q1
00
:Q1
01
:Q1
02
:Q1
03
:Q1
04
:Q1
05
:Q1
06
:Q1
07
:Q1
08
:Q1
09
:Q1
10
:Q1
11
:Q1
12
:Q1
13
:Q1
Sources: US Census Bureau; Insurance Information Institute.
Trough in 2004:Q4 at 33.1
million units
Since the Great Recession ended, renters occupied 3.6 million more units (+9.9%)—outstripping population growth (+2.9%). When will this end?
24
MillionsLatest was 40.1 million units in
2013:Q1
25
Rental Vacancy Rates, Quarterly, 1990-2013
6.5
7.0
7.5
8.0
8.5
9.0
9.5
10.0
10.5
11.0
11.59
0:Q
1
91
:Q1
92
:Q1
93
:Q1
94
:Q1
95
:Q1
96
:Q1
97
:Q1
98
:Q1
99
:Q1
00
:Q1
01
:Q1
02
:Q1
03
:Q1
04
:Q1
05
:Q1
06
:Q1
07
:Q1
08
:Q1
09
:Q1
10
:Q1
11
:Q1
12
:Q1
13
:Q1
Sources: US Census Bureau; Insurance Information Institute.
Peak vacancy rate 11.1% in
2009:Q3
Before the 2001 recession rental vacancy rates were 8% or less.Can they get there again?
25
Percent vacant
Latest vacancy rate was 8.6%
in 2013:Q1
26
Rental-Occupied Housing Units as % of Total Occupied Units, Quarterly, 1990-2013
30%
31%
32%
33%
34%
35%
36%
37%9
0:Q
1
91
:Q1
92
:Q1
93
:Q1
94
:Q1
95
:Q1
96
:Q1
97
:Q1
98
:Q1
99
:Q1
00
:Q1
01
:Q1
02
:Q1
03
:Q1
04
:Q1
05
:Q1
06
:Q1
07
:Q1
08
:Q1
09
:Q1
10
:Q1
11
:Q1
12
:Q1
13
:Q1
Sources: US Census Bureau; Insurance Information Institute.
Trough in 2004:Q2 and Q4 at 30.8%
Since the Great Recession ended, renters occupied 3.6 million more units (+9.9%)—outstripping population growth (+2.9%). When will this end?
26
Millions
Latest was 35.0% in 2013:Q1
Trend down began in 1994:Q3 from
36.2% in Q2
Highly Variable P/C Claims Drivers
29
30
Change* in the Consumer Price Index, 2004–2013
*Monthly, year-over-year, through April 2013. Not seasonally adjusted.Sources: US Bureau of Labor Statistics; National Bureau of Economic Research (recession dates); Insurance Information Institutes.
-4%
-2%
0%
2%
4%
6%
8%
10%
12%
14%
'04 '05 '06 '07 '08 '09 '10 '11 '12 '13
RecessionCPICore CPI
Over the last decade, prices generally rose about 2% per year.
30
For two months in 2008, led by gasoline, the
general price level was rising at a 5.5% pace
But when gas prices dropped, the general price level was
briefly lower than a year prior
31
Pct Changes in Price* for Residential Construction, 1990–2013
*Monthly vs. same month, prior year. Note: Recessions indicated by gray shaded columns.Sources: BLS Producer Price index ; National Bureau of Economic Research (recession dates); Insurance Information Institutes.
-5.0%
-2.5%
0.0%
2.5%
5.0%
7.5%
10.0%
'90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13
Three times in the past decade the price of residential construction rose ata 7.5% annual rate, or more. Such spikes were probably not in the base rates.
31
32
Prices for Hospital Services:12-Month Change,* 1998–2013
*Percentage change from same month in prior year; through April 2013; seasonally adjustedSources: US Bureau of Labor Statistics; National Bureau of Economic Research (recession dates); Insurance Information Institute.
0%
2%
4%
6%
8%
10%
12%
14%
'98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13
Recession Outpatient Services Inpatient Services
Cyclical peaks in PP Auto tend to occur approximately every 10 years(early 1990s, early 2000s, and possibly the early 2010s)
April 2013Inpatient services +4.0,
Outpatient services +4.5%
33
Change* in Price Index for Lumber:Sudden Spikes, 2008–2013
*Monthly, year-over-year, through April 2013. Softwood is seasonally adjusted; hardwood is not.January through April 2013 prices are preliminary.Sources: US Bureau of Labor Statistics, Producer Price Index series WPS0811 (softwood); WPU812 (hardwood).National Bureau of Economic Research (recession dates); Insurance Information Institutes.
-20%
-15%
-10%
-5%
0%
5%
10%
15%
20%
25%
30%
35%
40%
'08 '09 '10 '11 '12 '13
Perc
ent C
hang
e
Recession
Hardwood
SoftwoodLumber
33
The price of lumber dropped
before and during the recession…
But 30% spikes can
happen suddenly
Jul 2012 to Apr 2013
Catastrophes
3737
40
The Dozen Most Costly Hurricanesin U.S. History
Insured Losses, 2012 Dollars, $ Billions
*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
$20.0
$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)
Sandy will likely become the 3rd costliest hurricane in US insurance history
Irene became the 12th most expensive
hurricane in US history
10 of the 12 most costly hurricanes in insurance history occurred in the past 9 years (2004—2012)
41
If They Hit Today, the Dozen Costliest (to Insurers) Hurricanes in U.S. History
Insured Losses,2012 Dollars, $ Billions
*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: Karen Clark & Company, Historical Hurricanes that Would Cause $10 Billion or More of Insured LossesToday, August 2012; I.I.I.
$40$50 $50 $50
$65
$125
$40$35$25$20$20$20
$0
$20
$40
$60
$80
$100
$120
$140
Sandy*(2012)
Betsy(1965)
Hazel(1954)
Donna(1960)
NewEngland(1938)
Katrina(2005)
Galveston(1915)
Andrew(1992)
south-Florida(1947)
Galveston(1900)
mid-Florida(1928)
Miami(1926)
When you adjust for the damage prior storms could have done if they occurred today, Hurricane Katrina slips to a tie for 6th among the most
devastating storms.
Storms that hit long ago had less property and businesses to damage, so simply adjusting their actual claims for inflation doesn’t capture their
destructive power.Karen Clark’s analysis aims to overcome that.
43
$1
2.6
$1
1.0
$3
.8
$1
4.3
$1
1.6
$6
.1
$3
4.7
$7
.6
$1
6.3
$3
3.7
$7
3.4
$1
0.5
$7
.5
$2
9.2
$1
1.5
$1
4.4
$3
3.1
$3
7.0
$1
4.0
$4
.8
$8
.0
$3
7.8
$8
.8
$2
6.4
$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*
US Insured Catastrophe Losses
*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 ($15.6B in 2011 dollars.) Sources: Property Claims Service/ISO; Insurance Information Institute.
US CAT Losses in 2012 Will Likely Become the 2nd or 3rd Highest in US History on An Inflation-Adjusted Basis (Pvt
Insured). 2011 Losses Were the 5th Highest
2012 CAT losses were down nearly 50% from 2011 until Sandy struck in late October
Record Tornado Losses Caused
2011 CAT Losses to Surge
($ Billions, 2012 Dollars)
43
Nu
mb
er
Geophysical (earthquake, tsunami, volcanic activity)
Climatological (temperature extremes, drought, wildfire)
Meteorological (storm)
Hydrological (flood, mass movement)
Natural Disasters in the United States, 1980 – 2012Number of Events (Annual Totals 1980 – 2012)
Source: MR NatCatSERVICE 44
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
There were over 150 natural disaster events in the US every
year since 2006. That hadn’t happened in any year before.
P/C Industry Homeowners Claim Frequency, US, 1997-2011
1.57
2.822.34
1.842.32
1.69
2.67 2.572.97
2.28
1.32
3.42
2.39 2.35
3.68
6.996.71 6.45 6.26 6.53
5.83
4.63
3.83 3.64 3.77 3.94 4.03 4.16 4.17 4.31
8.56
9.53
8.798.10
8.85
7.52 7.30
6.40 6.616.05
5.26
7.46
6.55 6.52
7.99
0
2
4
6
8
10
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2008 2010 2011
CAT-related claims Non-CAT-related claims All Claims
Sources: Insurance Research Council, “Trends in Homeowners Insurance Claims,” p.29; Insurance Information Institute
Claims Paid per 100 Exposures
P/C Industry Homeowners Average Claim Severity, 1997-2011
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
$8,000
$9,000
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
non-cat claims cat claims
Sources: Insurance Research Council, “Trends in Homeowners Insurance Claims,” p. 29, BLS inflation calculator,and Insurance Information Institute
HO average claim severity is now
three times what it was in 1997.
Investments: The Stark Reality
5050
51
U.S. Treasury Security Yields*:A Long Downward Trend, 1990–2013
*Monthly, constant maturity, nominal rates, through Mar 2013.Sources: Federal Reserve Bank at http://www.federalreserve.gov/releases/h15/data.htm. National Bureau of Economic Research (recession dates); Insurance Information Institutes.
0%
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
Recession2-Yr Yield10-Yr Yield
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.
U.S. Treasury security yields
recently plunged to record lows
51
53
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 year
1-5 years
5-10 years
10-20 years
over 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 15.4% in 2012) and then trimmed bonds in the 5-10-year category. Falling average maturity of the P/C industry’s bond portfolio is contributing to a drop in
investment income along with lower yields.
Purchasing Power of P/C Industry Investment Gains: 1994–2012F1
$54.8
$64.5
$69.1
$74.8
$57.6
$45.9
$56.5$59.4
$69.8
$63.4
$70.9
$33.8
$42.0
$56.2 $57.4
$50.8
$81.7
$71.5$75.9
$30
$60
$90
94 95 96 97 98 99 00 01 02 03 04 05* 06 07 08 09 10 11 12F
In 2012 both investment income and realized capital gains were lower than in the comparable period in 2011. And because the Federal Reserve Board aims to keep
interest rates exceptionally low until the unemployment rate hits 6.5%—likely at least another year off—maturing bonds will be re-invested at even lower rates.
1Investment 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 I.I.I. estimate based on annualized actual 2012:Q3 result of
$38.089B. Sources: ISO; Insurance Information Institute.
($ Billions, 2012 dollars) Average yearly gain: $60.85B.
We haven’t hit that average in the last 5 years.
58
Policyholder Surplus, 2006:Q4–2012:Q3
Sources: ISO; A.M .Best.
($ 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
$583.5$570.7$566.5
$505.0$515.6$517.9
$425
$450
$475
$500
$525
$550
$575
$600
06:Q
4
07:Q
1
07:Q
2
07:Q
3
07:Q
4
08:Q
1
08:Q
2
08:Q
3
08:Q
4
09:Q
1
09:Q
2
09:Q
3
09:Q
4
10:Q
1
10:Q
2
10:Q
3
10:Q
4
11:Q
1
11:Q
2
11:Q
3
11:Q
4
12:Q
1
12:Q
3
Surplus as of 9/30/12 was a
new peak
The industry now has $1 of surplus for every $0.80 of NPW, the strongest claims-paying status in its history
Drop due to near-record 2011 CAT losses
59
Key Takaways
59
60
HO Insurance Exposures Will Grow With the U.S. Economy and Population In 2013-14, more growth in rental market than ownership market Longer term, demographics might continue to shift the
composition of the market toward smaller homes, more rentals HO Underwriting Profit is Highly Variable, Depends
on Frequency, Severity of CATs Frequency, Severity trends appear to be rising Inflation in some claims drivers has been/can be severe, even
when overall inflation is moderate Industry Capacity Hits a New Record by Year-End
2013 (Barring Meg-CAT) Pressure on Underwriting to Generate Profits as the
Investment Environment Is/Remains Challenging Most economists forecast interest rates to remain low for the next
few years
Takeaways
www.iii.org
Thank you for your timeand your attention!
Insurance Information Institute