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Investment Research

Update on the Improving Foundations of
US House Prices (September 2013)
Ronald Temple, CFA, Managing Director, Portfolio Manager/Analyst

Home prices have continued their upward climb, as evidenced by the latest report from S&P/Case-Shiller. However,
the most recent data show a sequential deceleration in aggregate price increases. While there are several variables
that influence the price trajectory of housing, the recent spike in borrowing rates—in anticipation of tapering by the
US Federal Reserve—appears to be a primary driver. In this paper, we discuss the key variables, in addition to housing
price indices, that contribute to create a more complete assessment of the fundamentals for a further price recovery.
2

The most recent house price reports from S&P/Case-Shiller in
September (based on data from May through July 2013) were in
line with our previous expectations. Prices in all cities in the S&P/
Case-Shiller 20-City Composite Home Price Index (the 20-City
Index) have increased from their levels 1, 3, 6, and 12 months ago.
The 20-City Index was up 21.2% from the low in March 2012 and
up 12.4% from a year ago. The report also showed a third sequential
deceleration of price increases in aggregate. This reflects the diverging
patterns we have seen across the cities in the index. Exhibit 1 shows
the extent of the decline in house prices during the bust (the change
from the high reached up until December 2008) and then shows what
percentage of the decline has been recouped. The highlights we would
point to include:
•	 Dallas and Denver are outliers on two counts: 1) Prices did not
decline as much in the downturn (i.e., the period from mid-2006
to early 2009) and 2) they have now reached new highs. To be fair,
in the housing bubble, neither Dallas nor Denver participated fully
on the upside so their relative resilience should not be a surprise.
As an example, prices in Dallas rose at an annualized pace of only
3% from the beginning of 2000 to the bubble peak in mid-2007.
This contrasts with an average annualized increase of 14% for Las
Vegas until its peak in the fall of 2006 and the 20-City Index which
increased approximately 12% annualized through August 2006. The
magnitude might not sound great, but the cumulative increase for
Dallas from 2000 to 2007 was 26% versus Las Vegas where prices
increased 134%.
•	 Losing cities continue to suffer: We have highlighted in the past
that some cities in “sand states” that saw the sharpest declines in

(%)
150

Proportion Recovered
Max–Min Decline

100
50
0

Dallas

Boston
San Francisco
Denver

Seattle
Portland
Atlanta
Charlotte

San Diego
Detroit
Washington, DC
Minneapolis

-100

Miami
New York
Tampa
Phoenix

-50

Chicago
Composite-20
Los Angeles
Cleveland

Through the last quarter much of the investor debate revolved around
the impact and timing for tapering of large scale asset purchases by the
Fed. While the central bank ultimately decided to maintain the same
level of monetary stimulus and asset purchases in its September meeting, the markets raised the cost of financing substantially for home
buyers in advance of the meeting. However, the impact of tapering on
housing demand has been a bit difficult for many to understand as the
varying timing lags in the range of housing data are not well known.
In this update, we will provide perspective on the most recent data
and how to interpret incoming information as higher mortgage rates
gradually impact housing demand and prices.

Exhibit 1
Housing Price Declines and Recovery from Low

Las Vegas

Home prices continued to surge through the second quarter of 2013
according to the most recent reports. At the same time, mortgage rates
have increased by about 130 basis points since the lows reached in
May 2013 when the market began to believe the US Federal Reserve
(the Fed) would begin tapering monetary stimulus in the near future.
An increase of this magnitude translates into an increase in the cost of
buying a home of approximately 17%. Given the combined effect of
higher financing costs, the 21% increase in national home prices since
the end of 2011/early 2012, and seasonal patterns, we expect monthon-month price increases to decelerate substantially in the fourth
quarter.1 Importantly, a decrease in sequential price increases will
greatly reduce the number of mortgage borrowers moving back into
positive equity. To the extent home prices stop increasing altogether on
a sequential basis—a reasonable prospect—we could also see consumer
confidence weakened as homeowners would become less optimistic
regarding the balance sheet recovery they have enjoyed of late.

As of 24 September 2013
Source: Standard & Poor’s

Exhibit 2
30-Year Mortgage Rates
(%)
9
8
7
6
5
4
3

Jul 96

Jul 99

Jul 02

Jul 05

Jul 08

Jul 11

Sep 13

As of 17 September 2013
Source: Bloomberg

home prices had also rebounded most strongly. In this note, we
look at the data in a different way. True, the prices have increased a
large amount from the recent lows, but when approached in terms
of how much of the previous decline has been recouped we get a
slightly less encouraging view. In Exhibit 1, one can see that six of
the twenty cities have regained at least half of the ground they lost
in the downturn. Notably, San Francisco was among the cities with
the largest decline but it is also among the strongest recoveries. On
the other extreme, four cities have regained less than 25% of the
decline. Three of these four cities were among the hardest hit with
declines ranging from 48% to 62% from peak to cycle trough.
The key data points that we are watching beyond the 20-City Index
include (in order of importance):
1.	 Mortgage borrowing rates, as illustrated in Exhibit 2: A 100 basis
point increase in mortgage rates from 3.5% equates to a monthly
payment increase of approximately 13%. The rise from the recent
3

low of 3.45% in early May to almost 4.75% by mid-September
implies a 17% increase in the cost of financing the same home.
2.	 Mortgage Bankers Association Mortgage Loan Applications for
Purchase Index (the Loan Applications Index), as shown in Exhibit
3: This index measures the volume of applications to buy a home
(new or existing). By excluding refinancing volume, we can get
a clearer picture of future closings on home purchases. We have
been consistently disappointed with the lack of improvement in
this index. Even when mortgage rates were at record lows in early
May, the index climbed only to a level well below the activity seen
one year earlier when rates were at 5%. Perhaps the lesson is that
mortgage rates are less important to borrowing activity than are
other factors such as the ability to accumulate a down payment and
employment growth. Regardless of the driver, we will continue
watching this index as a divergence from our expectations could
mean that economic growth substantially trumps borrowing rates.
If that is the case, we can be more optimistic that the eventual
tapering of monetary stimulus might not impair activity as much as
we currently suspect.
3.	 New single-family home sales: Closely monitoring this series is a
priority, as it is the most current tangible measure of actual activity.
New home sales are recorded at the time of contract signing rather
than actual purchase closing. As a result, the report tends to reflect
activity with a lag of only one month. The most recent report was
materially disappointing relative to consensus expectations. In our
view, this report reflects the spike in mortgage borrowing rates since
May (see Exhibit 4).
4.	 National Association of Home Builders (NAHB) Housing Market
Index (the NAHB Index): The NAHB Index is next in our queue
of key data series to monitor, as it captures a combination of actual
activity and sentiment. As such, we see it as offering positives and
negatives. The positive to this index is that it should reflect demand
for new construction better than other indices as it incorporates
traffic of potential home buyers, as shown by the underlying index
components in Exhibit 5. On the negative side, while we would
expect home builders to be very aware of mortgage rates, they likely
would have a difficult time discerning which potential customers
might be squeezed out of the market by higher financing costs.
Hence we consider this index slightly less predictive of future activity in aggregate (beyond new home construction) than the new
home sales data.
5.	 Existing single-family home sales: Existing home sales are the least
predictive in our sample of key metrics, as these data generally
reflect a lag of two to three months from the date of a purchase
agreement. This delay results from recording the transactions only
at the actual closing of the purchase, which typically takes a few
months given the time required to obtain a mortgage and arrange
document signings. Nevertheless, we believe it is instructive to
monitor this series even with its drawback of delayed data (see
Exhibit 6).
When we weigh the combined evidence of the previously described
indicators, we conclude that sequential price momentum will decelerate meaningfully through year end. However, the data also leave
reason to suggest that we may be too pessimistic. The two key data
points that would support a more constructive view on housing,

Exhibit 3
Mortgage Bankers Association Mortgage Loan Applications
for Purchase Index
(Index, March 1990=100)
500

400

300

200
100
Jul 93

July 96

Jul 99

Jul 02

Jul 05

Jul 08

Jul 11

Aug 13

Jan 08

Jan 11

Jul 13

Jan 11

Aug 13

As of 6 September 2013
Source: Mortgage Bankers Association, Haver Analytics

Exhibit 4
New Single-Family Home Sales
(Units, thousands)
1600
1250
900
550

200
Jan 93

Jan 96

Jan 99

Jan 02

Jan 05

As of July 2013
Source: US Census Bureau, Haver Analytics

Exhibit 5
Components of the NAHB Housing Market Index
Index
100
75
50
25
0

Jan 93

Jan 96

Jan 99

Jan 02

Jan 05

Jan 08

Sales of New Single-Family Homes Next 6 Months
Sales of New Single-Family Homes
Traffic of Prospective Buyers of New Homes
As of 15 August 2013
Source: NAHB, Haver Analytics
4

that limits how much rates can increase without leading to a reaction from the Fed.

Exhibit 6
Existing Single-Family Home Sales

•	 Growth in personal income and employment: House price increases
since the cycle lows have been driven by a range of factors including, but not limited to, investor activity, employment growth,
income growth, and record affordability. In the long run, however,
we believe the governing factors for house prices are personal
income growth and financing rates. While this might seem obvious,
sustained patterns of price increases well above or below income
growth in particular tend to lead to large subsequent moves either
down or up in home prices.

(Units, thousands)
7000
6000
5000
4000
3000
Jan 93 Jan 96

Jan 99

Jan 02

Jan 05

Jan 08

Jan 11 Jul 13

As of July 2013
Source: National Association of Realtors, Haver Analytics

even against a backdrop of higher borrowing rates, are the Loan
Applications Index (Exhibit 3) and the NAHB Index (Exhibit 5).
The Loan Applications Index seems to imply that activity has not
increased substantially as a result of lower rates, but on a positive
note perhaps might not decrease as much when rates normalize.
The NAHB Index implies that even with a substantial interest rate
increase, actual traffic of prospective buyers to new home sites has continued to improve, albeit flattening slightly in the last observation. We
hope these are the right leading indicators, but on a closer look other
variables will help determine the magnitude of price deceleration,
which we describe next.
•	 Mortgage rates and a reduction in the Fed’s asset purchase programs
(i.e., tapering): In light of the Fed’s decision to delay tapering, we
might have a retracement in mortgage rates to slightly lower levels.
We recognize that the current rates are not sustainable on a multiyear basis, but we do believe there is a self-governing feedback loop

Conclusion
In summary, we remain constructive on the still young US house
price recovery. We continue to expect substantial divergences across
regions and cities based on local economic conditions and foreclosure
processes, as discussed in our prior updates.2 We also acknowledge that
a range of factors could derail improving consumer confidence. Such
risks include the potential for US military engagement in Syria, the risk
of a debacle around the debt ceiling, or an overly aggressive approach
to tapering by the Fed that could cause an incremental spike in borrowing rates. In spite of these risk factors, we believe the price recovery is
strong enough to endure the headwinds of higher rates, although prices
are likely to rise at a slower pace than our recent experience.
5

Appendix
S&P/Case Shiller 20-City Home Price Index (January 2000 = 100)
City

San Francisco

Low Since
December 2008

Date of Low

High Since Inception
(January 1987)

Date of High

Current

Change from Low
(%)

Change from High
(%)

117.7

Mar 09

218.4

May 06

176.9

50.3

-19.0

Detroit

64.5

Apr 11

127.1

Dec 05

90.8

40.8

-28.5

Phoenix

100.2

Sep 11

227.4

Jun 06

139.4

39.1

-38.7

Atlanta

82.5

Mar 12

136.5

Jul 07

111.5

35.1

-18.3

Las Vegas

89.9

Mar 12

234.8

Aug 06

120.6

34.2

-48.6

San Diego

144.4

Apr 09

250.3

Nov 05

188.3

30.4

-24.8

Los Angeles

159.2

May 09

273.9

Sep 06

206.3

29.6

-24.7

Minneapolis

105.8

Mar 11

171.1

Sep 06

134.9

27.6

-21.2

Seattle

129.0

Feb 12

192.3

Jul 07

159.5

23.7

-17.1

Miami

137.0

Apr 11

280.9

Dec 06

169.1

23.4

-39.8

Washington, DC

165.9

Mar 09

251.1

May 06

203.0

22.3

-19.2

Chicago

102.8

Mar 12

168.6

Sep 06

125.7

22.3

-25.5

Tampa

123.9

Feb 12

238.1

Jul 06

151.2

22.0

-36.5

Portland

129.0

Mar 12

186.5

Jul 07

157.3

21.9

-15.7

Denver

120.2

Feb 09

145.6

Jul 13

145.6

21.1

0.0

Dallas

112.3

Feb 09

131.5

Jul 13

131.5

17.1

0.0
-8.6

Charlotte

108.4

Jan 12

135.9

Aug 07

124.2

14.6

Boston

145.8

Mar 09

182.5

Sep 05

167.0

14.5

-8.5

Cleveland

94.2

Feb 12

123.5

Jul 06

106.3

12.8

-13.9

New York

157.4

Mar-12

215.8

Jun-06

171.0

8.6

-20.8

Composite-20

134.1

Mar 12

206.5

Jul 06

162.5

21.2

-21.3

As of 24 September 2013
Data include transactions from May to July 2013.
Source: Standard & Poor’s

Notes
1	 Note year-on-year prices will continue to show strong increases in all likelihood as prices have increased over 8% in the last seven months alone. Source: Standard & Poor’s, as of 24
September 2013.
2	 Papers available at: http://www.lazardnet.com/investment-research/

Important Information
Published on 4 October 2013.
Past performance is not a reliable indicator of future results.
This paper is for informational purposes only. It is not intended to, and does not constitute, an offer to enter into any contract or investment agreement in respect of any product offered by
Lazard Asset Management and shall not be considered as an offer or solicitation with respect to any product, security, or service in any jurisdiction or in any circumstances in which such offer
or solicitation is unlawful or unauthorized or otherwise restricted or prohibited.
Information and opinions presented have been obtained or derived from sources believed by Lazard to be reliable. Lazard makes no representation as to their accuracy or completeness. All
opinions expressed herein are as of the date of this presentation and are subject to change.
Australia: Issued by Lazard Asset Management Pacific Co., Level 39 Gateway, 1 Macquarie Place, Sydney NSW 2000. Germany: Issued by Lazard Asset Management (Deutschland) GmbH,
Neue Mainzer Strasse 75, D-60311 Frankfurt am Main. Japan: Issued by Lazard Japan Asset Management K.K., ATT Annex, 7th Floor, 2-11-7 Akasaka, Minato-ku, Tokyo 107-0052. Korea:
Issued by Lazard Korea Asset Management Co. Ltd., 10F Seoul Finance Center, Taepyeongno-1ga, Jung-gu, Seoul, 100-768. United Kingdom: For Professional Investors Only. Issued by
Lazard Asset Management Ltd., 50 Stratton Street, London W1J 8LL. Registered in England Number 525667. Authorised and regulated by the Financial Services Authority (FSA). United States:
Issued by Lazard Asset Management LLC, 30 Rockefeller Plaza, New York, NY 10112.
LR22962

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Similaire à Lazard Investment Research: Update on the Improving Foundations of US House Prices (September 2013)

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Similaire à Lazard Investment Research: Update on the Improving Foundations of US House Prices (September 2013) (20)

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Lazard Investment Research: Update on the Improving Foundations of US House Prices (September 2013)

  • 1. Investment Research Update on the Improving Foundations of US House Prices (September 2013) Ronald Temple, CFA, Managing Director, Portfolio Manager/Analyst Home prices have continued their upward climb, as evidenced by the latest report from S&P/Case-Shiller. However, the most recent data show a sequential deceleration in aggregate price increases. While there are several variables that influence the price trajectory of housing, the recent spike in borrowing rates—in anticipation of tapering by the US Federal Reserve—appears to be a primary driver. In this paper, we discuss the key variables, in addition to housing price indices, that contribute to create a more complete assessment of the fundamentals for a further price recovery.
  • 2. 2 The most recent house price reports from S&P/Case-Shiller in September (based on data from May through July 2013) were in line with our previous expectations. Prices in all cities in the S&P/ Case-Shiller 20-City Composite Home Price Index (the 20-City Index) have increased from their levels 1, 3, 6, and 12 months ago. The 20-City Index was up 21.2% from the low in March 2012 and up 12.4% from a year ago. The report also showed a third sequential deceleration of price increases in aggregate. This reflects the diverging patterns we have seen across the cities in the index. Exhibit 1 shows the extent of the decline in house prices during the bust (the change from the high reached up until December 2008) and then shows what percentage of the decline has been recouped. The highlights we would point to include: • Dallas and Denver are outliers on two counts: 1) Prices did not decline as much in the downturn (i.e., the period from mid-2006 to early 2009) and 2) they have now reached new highs. To be fair, in the housing bubble, neither Dallas nor Denver participated fully on the upside so their relative resilience should not be a surprise. As an example, prices in Dallas rose at an annualized pace of only 3% from the beginning of 2000 to the bubble peak in mid-2007. This contrasts with an average annualized increase of 14% for Las Vegas until its peak in the fall of 2006 and the 20-City Index which increased approximately 12% annualized through August 2006. The magnitude might not sound great, but the cumulative increase for Dallas from 2000 to 2007 was 26% versus Las Vegas where prices increased 134%. • Losing cities continue to suffer: We have highlighted in the past that some cities in “sand states” that saw the sharpest declines in (%) 150 Proportion Recovered Max–Min Decline 100 50 0 Dallas Boston San Francisco Denver Seattle Portland Atlanta Charlotte San Diego Detroit Washington, DC Minneapolis -100 Miami New York Tampa Phoenix -50 Chicago Composite-20 Los Angeles Cleveland Through the last quarter much of the investor debate revolved around the impact and timing for tapering of large scale asset purchases by the Fed. While the central bank ultimately decided to maintain the same level of monetary stimulus and asset purchases in its September meeting, the markets raised the cost of financing substantially for home buyers in advance of the meeting. However, the impact of tapering on housing demand has been a bit difficult for many to understand as the varying timing lags in the range of housing data are not well known. In this update, we will provide perspective on the most recent data and how to interpret incoming information as higher mortgage rates gradually impact housing demand and prices. Exhibit 1 Housing Price Declines and Recovery from Low Las Vegas Home prices continued to surge through the second quarter of 2013 according to the most recent reports. At the same time, mortgage rates have increased by about 130 basis points since the lows reached in May 2013 when the market began to believe the US Federal Reserve (the Fed) would begin tapering monetary stimulus in the near future. An increase of this magnitude translates into an increase in the cost of buying a home of approximately 17%. Given the combined effect of higher financing costs, the 21% increase in national home prices since the end of 2011/early 2012, and seasonal patterns, we expect monthon-month price increases to decelerate substantially in the fourth quarter.1 Importantly, a decrease in sequential price increases will greatly reduce the number of mortgage borrowers moving back into positive equity. To the extent home prices stop increasing altogether on a sequential basis—a reasonable prospect—we could also see consumer confidence weakened as homeowners would become less optimistic regarding the balance sheet recovery they have enjoyed of late. As of 24 September 2013 Source: Standard & Poor’s Exhibit 2 30-Year Mortgage Rates (%) 9 8 7 6 5 4 3 Jul 96 Jul 99 Jul 02 Jul 05 Jul 08 Jul 11 Sep 13 As of 17 September 2013 Source: Bloomberg home prices had also rebounded most strongly. In this note, we look at the data in a different way. True, the prices have increased a large amount from the recent lows, but when approached in terms of how much of the previous decline has been recouped we get a slightly less encouraging view. In Exhibit 1, one can see that six of the twenty cities have regained at least half of the ground they lost in the downturn. Notably, San Francisco was among the cities with the largest decline but it is also among the strongest recoveries. On the other extreme, four cities have regained less than 25% of the decline. Three of these four cities were among the hardest hit with declines ranging from 48% to 62% from peak to cycle trough. The key data points that we are watching beyond the 20-City Index include (in order of importance): 1. Mortgage borrowing rates, as illustrated in Exhibit 2: A 100 basis point increase in mortgage rates from 3.5% equates to a monthly payment increase of approximately 13%. The rise from the recent
  • 3. 3 low of 3.45% in early May to almost 4.75% by mid-September implies a 17% increase in the cost of financing the same home. 2. Mortgage Bankers Association Mortgage Loan Applications for Purchase Index (the Loan Applications Index), as shown in Exhibit 3: This index measures the volume of applications to buy a home (new or existing). By excluding refinancing volume, we can get a clearer picture of future closings on home purchases. We have been consistently disappointed with the lack of improvement in this index. Even when mortgage rates were at record lows in early May, the index climbed only to a level well below the activity seen one year earlier when rates were at 5%. Perhaps the lesson is that mortgage rates are less important to borrowing activity than are other factors such as the ability to accumulate a down payment and employment growth. Regardless of the driver, we will continue watching this index as a divergence from our expectations could mean that economic growth substantially trumps borrowing rates. If that is the case, we can be more optimistic that the eventual tapering of monetary stimulus might not impair activity as much as we currently suspect. 3. New single-family home sales: Closely monitoring this series is a priority, as it is the most current tangible measure of actual activity. New home sales are recorded at the time of contract signing rather than actual purchase closing. As a result, the report tends to reflect activity with a lag of only one month. The most recent report was materially disappointing relative to consensus expectations. In our view, this report reflects the spike in mortgage borrowing rates since May (see Exhibit 4). 4. National Association of Home Builders (NAHB) Housing Market Index (the NAHB Index): The NAHB Index is next in our queue of key data series to monitor, as it captures a combination of actual activity and sentiment. As such, we see it as offering positives and negatives. The positive to this index is that it should reflect demand for new construction better than other indices as it incorporates traffic of potential home buyers, as shown by the underlying index components in Exhibit 5. On the negative side, while we would expect home builders to be very aware of mortgage rates, they likely would have a difficult time discerning which potential customers might be squeezed out of the market by higher financing costs. Hence we consider this index slightly less predictive of future activity in aggregate (beyond new home construction) than the new home sales data. 5. Existing single-family home sales: Existing home sales are the least predictive in our sample of key metrics, as these data generally reflect a lag of two to three months from the date of a purchase agreement. This delay results from recording the transactions only at the actual closing of the purchase, which typically takes a few months given the time required to obtain a mortgage and arrange document signings. Nevertheless, we believe it is instructive to monitor this series even with its drawback of delayed data (see Exhibit 6). When we weigh the combined evidence of the previously described indicators, we conclude that sequential price momentum will decelerate meaningfully through year end. However, the data also leave reason to suggest that we may be too pessimistic. The two key data points that would support a more constructive view on housing, Exhibit 3 Mortgage Bankers Association Mortgage Loan Applications for Purchase Index (Index, March 1990=100) 500 400 300 200 100 Jul 93 July 96 Jul 99 Jul 02 Jul 05 Jul 08 Jul 11 Aug 13 Jan 08 Jan 11 Jul 13 Jan 11 Aug 13 As of 6 September 2013 Source: Mortgage Bankers Association, Haver Analytics Exhibit 4 New Single-Family Home Sales (Units, thousands) 1600 1250 900 550 200 Jan 93 Jan 96 Jan 99 Jan 02 Jan 05 As of July 2013 Source: US Census Bureau, Haver Analytics Exhibit 5 Components of the NAHB Housing Market Index Index 100 75 50 25 0 Jan 93 Jan 96 Jan 99 Jan 02 Jan 05 Jan 08 Sales of New Single-Family Homes Next 6 Months Sales of New Single-Family Homes Traffic of Prospective Buyers of New Homes As of 15 August 2013 Source: NAHB, Haver Analytics
  • 4. 4 that limits how much rates can increase without leading to a reaction from the Fed. Exhibit 6 Existing Single-Family Home Sales • Growth in personal income and employment: House price increases since the cycle lows have been driven by a range of factors including, but not limited to, investor activity, employment growth, income growth, and record affordability. In the long run, however, we believe the governing factors for house prices are personal income growth and financing rates. While this might seem obvious, sustained patterns of price increases well above or below income growth in particular tend to lead to large subsequent moves either down or up in home prices. (Units, thousands) 7000 6000 5000 4000 3000 Jan 93 Jan 96 Jan 99 Jan 02 Jan 05 Jan 08 Jan 11 Jul 13 As of July 2013 Source: National Association of Realtors, Haver Analytics even against a backdrop of higher borrowing rates, are the Loan Applications Index (Exhibit 3) and the NAHB Index (Exhibit 5). The Loan Applications Index seems to imply that activity has not increased substantially as a result of lower rates, but on a positive note perhaps might not decrease as much when rates normalize. The NAHB Index implies that even with a substantial interest rate increase, actual traffic of prospective buyers to new home sites has continued to improve, albeit flattening slightly in the last observation. We hope these are the right leading indicators, but on a closer look other variables will help determine the magnitude of price deceleration, which we describe next. • Mortgage rates and a reduction in the Fed’s asset purchase programs (i.e., tapering): In light of the Fed’s decision to delay tapering, we might have a retracement in mortgage rates to slightly lower levels. We recognize that the current rates are not sustainable on a multiyear basis, but we do believe there is a self-governing feedback loop Conclusion In summary, we remain constructive on the still young US house price recovery. We continue to expect substantial divergences across regions and cities based on local economic conditions and foreclosure processes, as discussed in our prior updates.2 We also acknowledge that a range of factors could derail improving consumer confidence. Such risks include the potential for US military engagement in Syria, the risk of a debacle around the debt ceiling, or an overly aggressive approach to tapering by the Fed that could cause an incremental spike in borrowing rates. In spite of these risk factors, we believe the price recovery is strong enough to endure the headwinds of higher rates, although prices are likely to rise at a slower pace than our recent experience.
  • 5. 5 Appendix S&P/Case Shiller 20-City Home Price Index (January 2000 = 100) City San Francisco Low Since December 2008 Date of Low High Since Inception (January 1987) Date of High Current Change from Low (%) Change from High (%) 117.7 Mar 09 218.4 May 06 176.9 50.3 -19.0 Detroit 64.5 Apr 11 127.1 Dec 05 90.8 40.8 -28.5 Phoenix 100.2 Sep 11 227.4 Jun 06 139.4 39.1 -38.7 Atlanta 82.5 Mar 12 136.5 Jul 07 111.5 35.1 -18.3 Las Vegas 89.9 Mar 12 234.8 Aug 06 120.6 34.2 -48.6 San Diego 144.4 Apr 09 250.3 Nov 05 188.3 30.4 -24.8 Los Angeles 159.2 May 09 273.9 Sep 06 206.3 29.6 -24.7 Minneapolis 105.8 Mar 11 171.1 Sep 06 134.9 27.6 -21.2 Seattle 129.0 Feb 12 192.3 Jul 07 159.5 23.7 -17.1 Miami 137.0 Apr 11 280.9 Dec 06 169.1 23.4 -39.8 Washington, DC 165.9 Mar 09 251.1 May 06 203.0 22.3 -19.2 Chicago 102.8 Mar 12 168.6 Sep 06 125.7 22.3 -25.5 Tampa 123.9 Feb 12 238.1 Jul 06 151.2 22.0 -36.5 Portland 129.0 Mar 12 186.5 Jul 07 157.3 21.9 -15.7 Denver 120.2 Feb 09 145.6 Jul 13 145.6 21.1 0.0 Dallas 112.3 Feb 09 131.5 Jul 13 131.5 17.1 0.0 -8.6 Charlotte 108.4 Jan 12 135.9 Aug 07 124.2 14.6 Boston 145.8 Mar 09 182.5 Sep 05 167.0 14.5 -8.5 Cleveland 94.2 Feb 12 123.5 Jul 06 106.3 12.8 -13.9 New York 157.4 Mar-12 215.8 Jun-06 171.0 8.6 -20.8 Composite-20 134.1 Mar 12 206.5 Jul 06 162.5 21.2 -21.3 As of 24 September 2013 Data include transactions from May to July 2013. Source: Standard & Poor’s Notes 1 Note year-on-year prices will continue to show strong increases in all likelihood as prices have increased over 8% in the last seven months alone. Source: Standard & Poor’s, as of 24 September 2013. 2 Papers available at: http://www.lazardnet.com/investment-research/ Important Information Published on 4 October 2013. Past performance is not a reliable indicator of future results. This paper is for informational purposes only. It is not intended to, and does not constitute, an offer to enter into any contract or investment agreement in respect of any product offered by Lazard Asset Management and shall not be considered as an offer or solicitation with respect to any product, security, or service in any jurisdiction or in any circumstances in which such offer or solicitation is unlawful or unauthorized or otherwise restricted or prohibited. Information and opinions presented have been obtained or derived from sources believed by Lazard to be reliable. Lazard makes no representation as to their accuracy or completeness. All opinions expressed herein are as of the date of this presentation and are subject to change. Australia: Issued by Lazard Asset Management Pacific Co., Level 39 Gateway, 1 Macquarie Place, Sydney NSW 2000. Germany: Issued by Lazard Asset Management (Deutschland) GmbH, Neue Mainzer Strasse 75, D-60311 Frankfurt am Main. Japan: Issued by Lazard Japan Asset Management K.K., ATT Annex, 7th Floor, 2-11-7 Akasaka, Minato-ku, Tokyo 107-0052. Korea: Issued by Lazard Korea Asset Management Co. Ltd., 10F Seoul Finance Center, Taepyeongno-1ga, Jung-gu, Seoul, 100-768. United Kingdom: For Professional Investors Only. Issued by Lazard Asset Management Ltd., 50 Stratton Street, London W1J 8LL. Registered in England Number 525667. Authorised and regulated by the Financial Services Authority (FSA). United States: Issued by Lazard Asset Management LLC, 30 Rockefeller Plaza, New York, NY 10112. LR22962