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Case–Shiller index

The Standard & Poor's CoreLogic Case–Shiller Home Price Indices are repeat-sales house price indices for the United States. There are multiple Case–Shiller home price indices: A national home price index, a 20-city composite index, a 10-city composite index, and twenty individual metro area indices. These indices were first produced commercially by Case Shiller Weiss. They are now calculated and kept monthly by Standard & Poor's, with data calculated for January 1987 to present. The indices kept by Standard & Poor are normalized to a value of 100 in January 2000. They are based on original work by economists Karl Case and Robert Shiller, whose team calculated the home price index back to 1990. Case and Shiller's index is normalized to a value of 100 in 1990. The Case-Shiller index on Shiller's website is updated quarterly.[1] The two datasets can greatly differ due to different reference points and calculations. For example, in the 4th quarter of 2013, the Standard and Poor 20 city index point was in the 160's, while the index point for 4th quarter on the Shiller data was in the 130's. Shiller claims in his book Irrational Exuberance that such a long series of home prices does not appear to have been published for any country.[2]

Case-Shiller Home Price Index
S&P/Case-Shiller U.S. National Home Price Index
  Home Price Index
  M2 money supply increases % change Y/Y
Median housing price by metro area
Case–Shiller home price index data, inflation adjusted, 1890–2018.
Case–Shiller home price indices, absolute and inflation adjusted, 2000–2016.

History and methodology edit

The indices are calculated from data on repeat sales of single-family homes, an approach developed by economists Case, Shiller and Allan Weiss who served as the CEO of Case Shiller Weiss from the company's 1991 inception until its sale to Fiserv in 2002.[3] Case developed a method for comparing repeat sales of the same homes in an effort to study home pricing trends.[3] He was using data from house sales in Boston in the early 1980s, which was going through a housing price boom. While Case argued that such a boom was ultimately unsustainable, he had not considered it a bubble, a commonly used term to describe similar market trends.[3] Case sat down with Shiller, who was researching behavioral finance and economic bubbles, and together formed a repeat-sales index using home sales prices data from other cities across the country.[3] In 1991, while Weiss was in graduate school he formed an informal working relationship with Shiller. Weiss proposed to Case and Shiller to form a company, Case Shiller Weiss, to produce the index periodically with the intent of selling the information to the markets. The FinTech giant Fiserv bought Case Shiller Weiss in 2002 and, together with Standard & Poor's, developed tradable indices based on the data for the markets which are now commonly called the Case-Shiller index.[3] CoreLogic acquired the Case Shiller Weiss business from Fiserv in April 2013.[4]

The years 2006–2012 saw the largest crash in global real estate markets in recent history; whether this could have been predicted using the Case–Shiller index is up for dispute. Shiller did see some early signs. He released the second edition of his Irrational Exuberance book in 2005, when, according to him, the data looked like "a rocket taking off".[2] In his book he expresses skepticism over "the long-run stability of home prices",[2] given that the rise in home prices was much higher than the rise in income. However, he refrains from explicitly stating that this may be a bubble, after all the period after World War II had seen a substantial rise in real prices without any subsequent drop as apparent in the chart. The prices peaked in the first quarter of 2006, when the index kept by Shiller recorded a level of 198.01, but fell rapidly after that to 113.89 in the first quarter of 2012.

Options and futures based on Case-Shiller index are traded on the Chicago Mercantile Exchange.[5]

The index is a simplification of home values and does not account for imputed rent and home mortgage interest deduction, both of which are included in profit/loss considerations for investment purposes.

Economic implications edit

Shiller draws some key insights from his analysis of long term home prices in his book Irrational Exuberance. Contrary to popular belief, there has been no continuous uptrend in home prices in the US and the home prices show a strong tendency to return to their 1890 level in real terms. Moreover, he illustrates how the pattern of changes in home prices bears no relation to changes in construction costs, interest rates or population.[6]

Shiller notes that there is a strong perception across the globe that home prices are continuously increasing, and that this kind of sentiment and paradigm may be fueling bubbles in real estate markets. He points to some psychological heuristics that may be responsible for creating this perception. He says that since homes are relatively infrequent purchases, people tend to remember the purchase price of a home from long ago and are surprised at the difference between then and now.[7] However, most of the difference in the prices can be explained by inflation. He also discusses how people consistently overestimate the appreciation in the value of their homes. The US Census, since 1940, has asked home owners to estimate the value of their homes. The home-owners' estimates reflect an appreciation of 2% per year in real terms, which is significantly more than the 0.7% actual increase over the same interval as reflected in Case-Shiller index.

Shiller also offers some explanations as to why a continuous uptrend is not observed in real home prices:

  • Mobility: Shiller argues that "people and business will, if home prices are high enough, move far away, even leaving an area completely".[8] Land may be scarce locally, but urban land area is only 2.6% of the total land area in the United States.[8]
  • Easing land restrictions: Increasing prices put pressure on the government to ease restrictions on land in terms of how much can be built on a particular amount of land and also the amount of land available for development.
  • Technology Improvements: Construction technology has improved considerably making home building cheaper and faster, which puts downward pressure on home prices.[8]

Thus, real home prices are essentially trend-less and do not show any continuous uptrend or downtrend in the long-run. This is not limited to the US as it is also observed in the real home price indices of Netherlands and Norway.[9]

Key events and episodes edit

Shiller's key observation, as outlined in his book Irrational Exuberance, is that real home prices show a remarkable tendency to return to their 1890 level. However, there have been some key periods where the prices have departed from this level. Shiller offers some explanations for these episodes in his book:

  • 1921–1942: This was the only period where prices were considerably below their 1890 level throughout. The start of the decline roughly corresponds with the start of World War I, which was followed by the Great Influenza Pandemic of 1918, the Great Depression and finally World War II all of which, Shiller argues, could have affected home prices negatively.[10]
  • 1953–1977: Prices remained consistently higher than the 1890 level during this period, though they gradually declined. Shiller cites the end of World War II, beginning of the Baby Boom and the GI Bill of Rights (1944) that subsidized home purchases.[11] He also claims that the scars of the Great Depression deflected any speculative tendencies.
  • 1976–1982: Reflects the regional bubble in California.[10]
  • 1985–1989: Reflects regional bubbles on West Coast as well as East Coast.[10]
  • 1997–2012: Global boom and bust in real estate.

The national indices edit

The S&P CoreLogic Case–Shiller U.S. National Home Price Index is a composite of single-family home price indices for the nine U.S. Census divisions. It is calculated monthly, using a three-month moving average. The S&P national index is normalized to have a value of 100 in the January 2000.

The index kept by Shiller (available on his website at http://www.econ.yale.edu/~shiller/data.htm) is updated quarterly, and is normalized to have a value of 100 in 1890.

The composite and city indices edit

 
20 metropolitan area indices

The S&P index family includes 20 metropolitan area indices and two composite indices as aggregates of the metropolitan areas. These indices are three-month moving averages. The composite and city indices are normalized to have a value of 100 in January 2000.

Composite 10 index edit

CSXR is a composite index of the home price index for 10 major Metropolitan Statistical Areas in the United States. The index is published monthly by Standard & Poor's and uses the Case and Shiller method of a house price index using a modified version of the weighted-repeat sales methodology. This method is able to adjust for the quality of the homes sold, unlike simple indices based on averages. The CSXR is a three-month moving average as are the indices that compose it.

The following indexes are combined to create the CXSR composite index:

Composite 20 index edit

SPCS20R is a composite index of the home price index for 20 major Metropolitan Statistical Areas in the United States. The index is published monthly by Standard & Poor's and uses the Case and Shiller method of a house price index using a modified version of the weighted-repeat sales methodology. This method is able to adjust for the quality of the homes sold, unlike simple indices based on averages.

The following indexes are combined to create the SPCS20R composite index:

Index Home Price Index description MSA designation
PHXR Phoenix metropolitan area Phoenix–Mesa–Scottsdale, AZ
LXXR Greater Los Angeles Los Angeles–Long Beach–Santa Ana, CA
SDXR San Diego County, California San Diego–Carlsbad–San Marcos, CA
SFXR San Francisco San Francisco–Oakland–Fremont, CA
DNXR Denver-Aurora Metropolitan Area Denver–Aurora, CO
WDXR Washington Metropolitan Area Washington–Arlington–Alexandria, DC–VA–MD–WV
MIXR South Florida metropolitan area Miami–Fort Lauderdale–Pompano Beach, FL
TPXR Tampa Bay Area Tampa–St. Petersburg–Clearwater, FL
ATXR Atlanta metropolitan area Atlanta–Sandy Springs–Marietta, GA
CHXR Chicago metropolitan area Chicago–Naperville–Joliet, IL–IN–WI
BOXR Greater Boston Boston–Cambridge–Quincy, MA
DEXR Metro Detroit Detroit–Warren–Livonia, MI
MNXR Minneapolis-Saint Paul Minneapolis–St. Paul–Bloomington, MN–WI
CRXR Charlotte metropolitan area Charlotte-Gastonia-Concord, NC-SC
LVXR Las Vegas metropolitan area Las Vegas–Paradise, NV MSA
NYXR New York metropolitan area New York–Northern New Jersey–Long Island, NY–NJ–PA
CEXR Greater Cleveland Cleveland–Elyria–Mentor, OH
POXR Portland metropolitan area Portland–Vancouver–Beaverton, OR–WA
DAXR Dallas–Fort Worth metroplex Dallas–Fort Worth–Arlington, TX
SEXR Seattle metropolitan area Seattle–Tacoma–Bellevue, WA

Correlations edit

Macromarkets.com reports the US index has a slightly negative correlation with stocks and bonds, but slightly positive correlation with commodities and Real Estate Investment Trusts (REIT)[clarification needed].[12] REIT's track commercial real estate most closely, rather than home prices, explaining the low correlation.[13]

Historical values edit

Using Case and Shiller's original methods, the national index attained its all-time high of 198.01 in 2006 Q1. The S&P index attained an all-time high in July 2006, at a value of 206.52. On December 30, 2008, the index recorded its largest year-to-year drop. Since World War II, the original index has mostly fluctuated between 100 and 120, with peaks (followed by precipitous falls) in 1Q 1979 (which peaked at 122), 3Q 1989 (at 126), and 1Q 2006 (at 198). After the 2000s housing bubble, the low point of the index was in 1Q 2012, at 114. By 4Q 2013 the index had rebounded to 134. As of December 2019 (as per: "fred.stlouisfed.org") the S&P/Case‑Shiller U. S. National Home Price Index was at 213.789.

Selected Case–Shiller index values
(from original data set back to 1890)
YEAR Annual/4Q
1890 100
1900 101.57
1910 93.11
1920 66.07
1930 69.49
1940 81.73
1950 105.89
1960 109.65
1970 109.56
1975 103.46
1979 118.82
1984 105.44
1989 124.89
1994 108.33
1996 106.73
2000 123.30
2005 195.35
2006 192.29
2007 170.09
2008 133.97
2009 130.93
2010 124.56
2011 115.84
2012 121.58
2013 134.02

Securities edit

Case–Shiller indexes are available for trading as futures and futures options. Quotes are available from the CME. According to Shiller, one of the main purposes of futures and options trading in the Case-Shiller indices is to allow people to hedge the real estate market.[14] The problem, however, is that the volume of trading in these markets is small enough as to make them relatively illiquid which creates a risk for the investor in these securities. Shiller himself has said that “there has been a disappointing volume of trade in these futures markets.”[14] The volume traded in the CME S&P Case-Shiller Index for the full year 2007 was 2,995 contracts. That number declined over the following years, and throughout 2017 only 136 contracts traded.[15]

Ticker Home Price Index description MSA designation
CUS Composite A composite index of the top 10 MSAs in the country
LAX Greater Los Angeles Los Angeles–Long Beach–Santa Ana, CA
SDG San Diego County, California San Diego–Carlsbad–San Marcos, CA
SFR San Francisco San Francisco–Oakland–Fremont, CA
DEN Denver-Aurora Metropolitan Area Denver–Aurora, CO
WDC Washington Metropolitan Area Washington–Arlington–Alexandria, DC–VA–MD–WV
MIA South Florida metropolitan area Miami–Fort Lauderdale–Pompano Beach, FL
CHI Chicago metropolitan area Chicago–Naperville–Joliet, IL–IN–WI
BOS Greater Boston Boston–Cambridge–Quincy, MA
LAV Las Vegas metropolitan area Las Vegas–Paradise, NV MSA
NYM New York metropolitan area New York–Northern New Jersey–Long Island, NY–NJ–PA

See also edit

References edit

  1. ^ "Online Data - Robert Shiller".
  2. ^ a b c Shiller, Robert (2005). Irrational Exuberance. Princeton University Press. p. 13. ISBN 978-0-691-12335-6.
  3. ^ a b c d e Katie Benner (2009-07-07). "Bob Shiller didn't kill the housing market". CNNMoney.com. Retrieved 2009-07-07. Allan Weiss, who did graduate work informally advised by Shiller. He then persuaded the professors to form a company to produce the indexes commercially in 1991. In 2002 they sold Case Shiller Weiss to electronic data giant Fiserv [...]
  4. ^ Margaret Chadbourn (2013-04-25). "CoreLogic acquires Case–Shiller from Fiserv". Reuters.com. from the original on 2013-04-30. Retrieved 2013-05-07.
  5. ^ (PDF). CME Group. 2008. Archived from the original (PDF) on 8 July 2011.
  6. ^ Shiller, Robert (2005). Irrational Exuberance. Princeton University Press. p. 14. ISBN 978-0-691-12335-6.
  7. ^ Shiller, Robert (2005). Irrational Exuberance. Princeton University Press. p. 19. ISBN 978-0-691-12335-6.
  8. ^ a b c Shiller, Robert (2005). Irrational Exuberance. Princeton University Press. p. 22. ISBN 978-0-691-12335-6.
  9. ^ Shiller, Robert (October 2007). "Understanding recent trends in house prices and home ownership". NBER Working Paper No. 13553. doi:10.3386/w13553.
  10. ^ a b c Shiller, Robert (2005). Irrational Exuberance. Princeton University Press. p. 16. ISBN 978-0-691-12335-6.
  11. ^ Shiller, Robert (2005). Irrational Exuberance. Princeton University Press. p. 15. ISBN 978-0-691-12335-6.
  12. ^ . Archived from the original on March 28, 2007. Retrieved 2007-12-26.{{cite web}}: CS1 maint: bot: original URL status unknown (link)
  13. ^ Krantz, Matt (2011-05-26). "Can you invest in real estate using home price indexes?". USA Today.
  14. ^ a b Shiller, Robert (2015). Irrational Exuberance 3rd edition. Princeton University Press. p. 392. ISBN 978-1469640662.
  15. ^ Dolan, John (22 June 2018). "CME CS Volume". homepricefutures.com. Retrieved 14 July 2018.
  • Mantell, Ruth (2008-12-30). "Home prices off record 18% in past year, Case–Shiller says". MarketWatch. Retrieved 2012-12-02.

External links edit

  • S&P/Case–Shiller Home Price Indices
  • S&P's Blog on the Housing Market
  • Shiller's online data website

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The Standard amp Poor s CoreLogic Case Shiller Home Price Indices are repeat sales house price indices for the United States There are multiple Case Shiller home price indices A national home price index a 20 city composite index a 10 city composite index and twenty individual metro area indices These indices were first produced commercially by Case Shiller Weiss They are now calculated and kept monthly by Standard amp Poor s with data calculated for January 1987 to present The indices kept by Standard amp Poor are normalized to a value of 100 in January 2000 They are based on original work by economists Karl Case and Robert Shiller whose team calculated the home price index back to 1990 Case and Shiller s index is normalized to a value of 100 in 1990 The Case Shiller index on Shiller s website is updated quarterly 1 The two datasets can greatly differ due to different reference points and calculations For example in the 4th quarter of 2013 the Standard and Poor 20 city index point was in the 160 s while the index point for 4th quarter on the Shiller data was in the 130 s Shiller claims in his book Irrational Exuberance that such a long series of home prices does not appear to have been published for any country 2 Case Shiller Home Price IndexS amp P Case Shiller U S National Home Price Index Home Price Index M2 money supply increases change Y Y Federal funds rateMedian housing price by metro areaCase Shiller home price index data inflation adjusted 1890 2018 Case Shiller home price indices absolute and inflation adjusted 2000 2016 Contents 1 History and methodology 2 Economic implications 3 Key events and episodes 4 The national indices 5 The composite and city indices 5 1 Composite 10 index 5 2 Composite 20 index 6 Correlations 7 Historical values 8 Securities 9 See also 10 References 11 External linksHistory and methodology editThe indices are calculated from data on repeat sales of single family homes an approach developed by economists Case Shiller and Allan Weiss who served as the CEO of Case Shiller Weiss from the company s 1991 inception until its sale to Fiserv in 2002 3 Case developed a method for comparing repeat sales of the same homes in an effort to study home pricing trends 3 He was using data from house sales in Boston in the early 1980s which was going through a housing price boom While Case argued that such a boom was ultimately unsustainable he had not considered it a bubble a commonly used term to describe similar market trends 3 Case sat down with Shiller who was researching behavioral finance and economic bubbles and together formed a repeat sales index using home sales prices data from other cities across the country 3 In 1991 while Weiss was in graduate school he formed an informal working relationship with Shiller Weiss proposed to Case and Shiller to form a company Case Shiller Weiss to produce the index periodically with the intent of selling the information to the markets The FinTech giant Fiserv bought Case Shiller Weiss in 2002 and together with Standard amp Poor s developed tradable indices based on the data for the markets which are now commonly called the Case Shiller index 3 CoreLogic acquired the Case Shiller Weiss business from Fiserv in April 2013 4 The years 2006 2012 saw the largest crash in global real estate markets in recent history whether this could have been predicted using the Case Shiller index is up for dispute Shiller did see some early signs He released the second edition of his Irrational Exuberance book in 2005 when according to him the data looked like a rocket taking off 2 In his book he expresses skepticism over the long run stability of home prices 2 given that the rise in home prices was much higher than the rise in income However he refrains from explicitly stating that this may be a bubble after all the period after World War II had seen a substantial rise in real prices without any subsequent drop as apparent in the chart The prices peaked in the first quarter of 2006 when the index kept by Shiller recorded a level of 198 01 but fell rapidly after that to 113 89 in the first quarter of 2012 Options and futures based on Case Shiller index are traded on the Chicago Mercantile Exchange 5 The index is a simplification of home values and does not account for imputed rent and home mortgage interest deduction both of which are included in profit loss considerations for investment purposes Economic implications editShiller draws some key insights from his analysis of long term home prices in his book Irrational Exuberance Contrary to popular belief there has been no continuous uptrend in home prices in the US and the home prices show a strong tendency to return to their 1890 level in real terms Moreover he illustrates how the pattern of changes in home prices bears no relation to changes in construction costs interest rates or population 6 Shiller notes that there is a strong perception across the globe that home prices are continuously increasing and that this kind of sentiment and paradigm may be fueling bubbles in real estate markets He points to some psychological heuristics that may be responsible for creating this perception He says that since homes are relatively infrequent purchases people tend to remember the purchase price of a home from long ago and are surprised at the difference between then and now 7 However most of the difference in the prices can be explained by inflation He also discusses how people consistently overestimate the appreciation in the value of their homes The US Census since 1940 has asked home owners to estimate the value of their homes The home owners estimates reflect an appreciation of 2 per year in real terms which is significantly more than the 0 7 actual increase over the same interval as reflected in Case Shiller index Shiller also offers some explanations as to why a continuous uptrend is not observed in real home prices Mobility Shiller argues that people and business will if home prices are high enough move far away even leaving an area completely 8 Land may be scarce locally but urban land area is only 2 6 of the total land area in the United States 8 Easing land restrictions Increasing prices put pressure on the government to ease restrictions on land in terms of how much can be built on a particular amount of land and also the amount of land available for development Technology Improvements Construction technology has improved considerably making home building cheaper and faster which puts downward pressure on home prices 8 Thus real home prices are essentially trend less and do not show any continuous uptrend or downtrend in the long run This is not limited to the US as it is also observed in the real home price indices of Netherlands and Norway 9 Key events and episodes editShiller s key observation as outlined in his book Irrational Exuberance is that real home prices show a remarkable tendency to return to their 1890 level However there have been some key periods where the prices have departed from this level Shiller offers some explanations for these episodes in his book 1921 1942 This was the only period where prices were considerably below their 1890 level throughout The start of the decline roughly corresponds with the start of World War I which was followed by the Great Influenza Pandemic of 1918 the Great Depression and finally World War II all of which Shiller argues could have affected home prices negatively 10 1953 1977 Prices remained consistently higher than the 1890 level during this period though they gradually declined Shiller cites the end of World War II beginning of the Baby Boom and the GI Bill of Rights 1944 that subsidized home purchases 11 He also claims that the scars of the Great Depression deflected any speculative tendencies 1976 1982 Reflects the regional bubble in California 10 1985 1989 Reflects regional bubbles on West Coast as well as East Coast 10 1997 2012 Global boom and bust in real estate The national indices editThe S amp P CoreLogic Case Shiller U S National Home Price Index is a composite of single family home price indices for the nine U S Census divisions It is calculated monthly using a three month moving average The S amp P national index is normalized to have a value of 100 in the January 2000 The index kept by Shiller available on his website at http www econ yale edu shiller data htm is updated quarterly and is normalized to have a value of 100 in 1890 The composite and city indices edit nbsp 20 metropolitan area indicesThe S amp P index family includes 20 metropolitan area indices and two composite indices as aggregates of the metropolitan areas These indices are three month moving averages The composite and city indices are normalized to have a value of 100 in January 2000 Composite 10 index edit CSXR is a composite index of the home price index for 10 major Metropolitan Statistical Areas in the United States The index is published monthly by Standard amp Poor s and uses the Case and Shiller method of a house price index using a modified version of the weighted repeat sales methodology This method is able to adjust for the quality of the homes sold unlike simple indices based on averages The CSXR is a three month moving average as are the indices that compose it The following indexes are combined to create the CXSR composite index Index Home Price Index description MSA designationBOXR Greater Boston Boston Cambridge Quincy MACHXR Chicago metropolitan area Chicago Naperville Joliet IL IN WIDNXR Denver Aurora Metropolitan Area Denver Aurora COLVXR Las Vegas metropolitan area Las Vegas Paradise NV MSALXXR Greater Los Angeles Los Angeles Long Beach Santa Ana CAMIXR South Florida metropolitan area Miami Fort Lauderdale Pompano Beach FLNYXR New York metropolitan area New York Northern New Jersey Long Island NY NJ PASDXR San Diego County California San Diego Carlsbad San Marcos CASFXR San Francisco San Francisco Oakland Fremont CAWDXR Washington Metropolitan Area Washington Arlington Alexandria DC VA MD WVComposite 20 index edit SPCS20R is a composite index of the home price index for 20 major Metropolitan Statistical Areas in the United States The index is published monthly by Standard amp Poor s and uses the Case and Shiller method of a house price index using a modified version of the weighted repeat sales methodology This method is able to adjust for the quality of the homes sold unlike simple indices based on averages The following indexes are combined to create the SPCS20R composite index Index Home Price Index description MSA designationPHXR Phoenix metropolitan area Phoenix Mesa Scottsdale AZLXXR Greater Los Angeles Los Angeles Long Beach Santa Ana CASDXR San Diego County California San Diego Carlsbad San Marcos CASFXR San Francisco San Francisco Oakland Fremont CADNXR Denver Aurora Metropolitan Area Denver Aurora COWDXR Washington Metropolitan Area Washington Arlington Alexandria DC VA MD WVMIXR South Florida metropolitan area Miami Fort Lauderdale Pompano Beach FLTPXR Tampa Bay Area Tampa St Petersburg Clearwater FLATXR Atlanta metropolitan area Atlanta Sandy Springs Marietta GACHXR Chicago metropolitan area Chicago Naperville Joliet IL IN WIBOXR Greater Boston Boston Cambridge Quincy MADEXR Metro Detroit Detroit Warren Livonia MIMNXR Minneapolis Saint Paul Minneapolis St Paul Bloomington MN WICRXR Charlotte metropolitan area Charlotte Gastonia Concord NC SCLVXR Las Vegas metropolitan area Las Vegas Paradise NV MSANYXR New York metropolitan area New York Northern New Jersey Long Island NY NJ PACEXR Greater Cleveland Cleveland Elyria Mentor OHPOXR Portland metropolitan area Portland Vancouver Beaverton OR WADAXR Dallas Fort Worth metroplex Dallas Fort Worth Arlington TXSEXR Seattle metropolitan area Seattle Tacoma Bellevue WACorrelations editMacromarkets com reports the US index has a slightly negative correlation with stocks and bonds but slightly positive correlation with commodities and Real Estate Investment Trusts REIT clarification needed 12 REIT s track commercial real estate most closely rather than home prices explaining the low correlation 13 Historical values editUsing Case and Shiller s original methods the national index attained its all time high of 198 01 in 2006 Q1 The S amp P index attained an all time high in July 2006 at a value of 206 52 On December 30 2008 the index recorded its largest year to year drop Since World War II the original index has mostly fluctuated between 100 and 120 with peaks followed by precipitous falls in 1Q 1979 which peaked at 122 3Q 1989 at 126 and 1Q 2006 at 198 After the 2000s housing bubble the low point of the index was in 1Q 2012 at 114 By 4Q 2013 the index had rebounded to 134 As of December 2019 as per fred stlouisfed org the S amp P Case Shiller U S National Home Price Index was at 213 789 nbsp Case Shiller home price index from 1890 to 2012 nbsp Comparison the percentage change for the housing correction beginning in 2006 red and the correction blue beginning in 1989Selected Case Shiller index values from original data set back to 1890 YEAR Annual 4Q1890 1001900 101 571910 93 111920 66 071930 69 491940 81 731950 105 891960 109 651970 109 561975 103 461979 118 821984 105 441989 124 891994 108 331996 106 732000 123 302005 195 352006 192 292007 170 092008 133 972009 130 932010 124 562011 115 842012 121 582013 134 02Securities editCase Shiller indexes are available for trading as futures and futures options Quotes are available from the CME According to Shiller one of the main purposes of futures and options trading in the Case Shiller indices is to allow people to hedge the real estate market 14 The problem however is that the volume of trading in these markets is small enough as to make them relatively illiquid which creates a risk for the investor in these securities Shiller himself has said that there has been a disappointing volume of trade in these futures markets 14 The volume traded in the CME S amp P Case Shiller Index for the full year 2007 was 2 995 contracts That number declined over the following years and throughout 2017 only 136 contracts traded 15 Ticker Home Price Index description MSA designationCUS Composite A composite index of the top 10 MSAs in the countryLAX Greater Los Angeles Los Angeles Long Beach Santa Ana CASDG San Diego County California San Diego Carlsbad San Marcos CASFR San Francisco San Francisco Oakland Fremont CADEN Denver Aurora Metropolitan Area Denver Aurora COWDC Washington Metropolitan Area Washington Arlington Alexandria DC VA MD WVMIA South Florida metropolitan area Miami Fort Lauderdale Pompano Beach FLCHI Chicago metropolitan area Chicago Naperville Joliet IL IN WIBOS Greater Boston Boston Cambridge Quincy MALAV Las Vegas metropolitan area Las Vegas Paradise NV MSANYM New York metropolitan area New York Northern New Jersey Long Island NY NJ PASee also editHouse price index Real estate appraisal Real estate pricingReferences edit Online Data Robert Shiller a b c Shiller Robert 2005 Irrational Exuberance Princeton University Press p 13 ISBN 978 0 691 12335 6 a b c d e Katie Benner 2009 07 07 Bob Shiller didn t kill the housing market CNNMoney com Retrieved 2009 07 07 Allan Weiss who did graduate work informally advised by Shiller He then persuaded the professors to form a company to produce the indexes commercially in 1991 In 2002 they sold Case Shiller Weiss to electronic data giant Fiserv Margaret Chadbourn 2013 04 25 CoreLogic acquires Case Shiller from Fiserv Reuters com Archived from the original on 2013 04 30 Retrieved 2013 05 07 S amp P Case Shiller Home Price Indices Futures and Options PDF CME Group 2008 Archived from the original PDF on 8 July 2011 Shiller Robert 2005 Irrational Exuberance Princeton University Press p 14 ISBN 978 0 691 12335 6 Shiller Robert 2005 Irrational Exuberance Princeton University Press p 19 ISBN 978 0 691 12335 6 a b c Shiller Robert 2005 Irrational Exuberance Princeton University Press p 22 ISBN 978 0 691 12335 6 Shiller Robert October 2007 Understanding recent trends in house prices and home ownership NBER Working Paper No 13553 doi 10 3386 w13553 a b c Shiller Robert 2005 Irrational Exuberance Princeton University Press p 16 ISBN 978 0 691 12335 6 Shiller Robert 2005 Irrational Exuberance Princeton University Press p 15 ISBN 978 0 691 12335 6 MacroMarkets Archived from the original on March 28 2007 Retrieved 2007 12 26 a href Template Cite web html title Template Cite web cite web a CS1 maint bot original URL status unknown link Krantz Matt 2011 05 26 Can you invest in real estate using home price indexes USA Today a b Shiller Robert 2015 Irrational Exuberance 3rd edition Princeton University Press p 392 ISBN 978 1469640662 Dolan John 22 June 2018 CME CS Volume homepricefutures com Retrieved 14 July 2018 Mantell Ruth 2008 12 30 Home prices off record 18 in past year Case Shiller says MarketWatch Retrieved 2012 12 02 External links editS amp P Case Shiller Home Price Indices CoreLogic Acquisition and Overview of Case Shiller Indexes S amp P s Blog on the Housing Market Shiller s online data website Retrieved from https en wikipedia org w index php title Case Shiller index amp oldid 1146408916, wikipedia, wiki, book, books, library,

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