Predicting turning points in the housing market
AbstractWe identify leading indicators of changes in the housing market and compare their performance in predicting turning points. Being able to predict turning points is of importance to the home building industry, homeowners, and makers of housing policy. Our leading indicators include the Wells Fargo/NAHB Housing Market Index, two of its forward looking components, and an index of consumer sentiment regarding purchasing a home. Our comparison tests include Granger causality and a Bayesian predictor of the probability of a turning point. We find that the measure of consumer sentiment performs relatively well compared to the HMI in predicting home permits, housing starts, and new home sales.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Housing Economics.
Volume (Year): 18 (2009)
Issue (Month): 4 (December)
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/622881
R31 R21 C53 E37 Forecasting Housing starts Building permits Home sales Turning points;
Find related papers by JEL classification:
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- For - International Economics - - - - -
- Hou - Public Economics - - - - -
- sta - - - - - -
- Bui - Schools of Economic Thought and Methodology - - - - -
- per - - - - - -
- Hom - Public Economics - - - - -
- sal - - - - - -
- Tur - - - - - -
- poi - - - - - -
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Arturo Estrella & Frederic S. Mishkin, 1995.
"Predicting U.S. Recessions: Financial Variables as Leading Indicators,"
NBER Working Papers
5379, National Bureau of Economic Research, Inc.
- Arturo Estrella & Frederic S. Mishkin, 1998. "Predicting U.S. Recessions: Financial Variables As Leading Indicators," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 45-61, February.
- Arturo Estrella & Frederic S. Mishkin, 1996. "Predicting U.S. recessions: financial variables as leading indicators," Research Paper 9609, Federal Reserve Bank of New York.
- John L. Goodman, Jr., 1994. "Using Attitude Data to Forecast Housing Activity," Journal of Real Estate Research, American Real Estate Society, vol. 9(4), pages 445-454.
- Coulson, N Edward, 1999. "Housing Inventory and Completion," The Journal of Real Estate Finance and Economics, Springer, vol. 18(1), pages 89-105, January.
- Ben Bernanke, 1990.
"The Federal Funds Rate and the Channels of Monetary Transnission,"
NBER Working Papers
3487, National Bureau of Economic Research, Inc.
- Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-21, September.
- Ben S. Bernanke & Alan S. Blinder, 1989. "The federal funds rate and the channels of monetary transmission," Working Papers 89-10, Federal Reserve Bank of Philadelphia.
- Puri, Anil K. & Van Lierop, Johannes, 1988. "Forecasting housing starts," International Journal of Forecasting, Elsevier, vol. 4(1), pages 125-134.
- Teresa Santero & Niels Westerlund, 1996. "Confidence Indicators and Their Relationship to Changes in Economic Activity," OECD Economics Department Working Papers 170, OECD Publishing.
- Thomas M. Fullerton Jr. & Juan Alberto Luevano & Carol Taylor West, 2004. "Accuracy of Regional Single-Family Housing Start Forecasts," Urban/Regional 0404010, EconWPA.
- Francis X. Diebold & Glenn D. Rudebusch, 1987.
"Scoring the leading indicators,"
Special Studies Papers
206, Board of Governors of the Federal Reserve System (U.S.).
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
- Hwang, Min & Quigley, John M., 2006.
"Economic Fundamentals in Local Housing Markets: Evidence from U.S. Metropolitan Regions,"
Berkeley Program on Housing and Urban Policy, Working Paper Series
qt79d325cm, Berkeley Program on Housing and Urban Policy.
- Min Hwang & John M. Quigley, 2006. "Economic Fundamentals In Local Housing Markets: Evidence From U.S. Metropolitan Regions," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 425-453.
- Fan, Chengze Simon & Wong, Phoebe, 1998. "Does consumer sentiment forecast household spending?: The Hong Kong case," Economics Letters, Elsevier, vol. 58(1), pages 77-84, January.
- Neftici, Salih N., 1982. "Optimal prediction of cyclical downturns," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 225-241, November.
- James H. Stock & Mark W. Watson, 1993.
"A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience,"
in: Business Cycles, Indicators and Forecasting, pages 95-156
National Bureau of Economic Research, Inc.
- James H. Stock & Mark W. Watson, 1992. "A Procedure for Predicting Recessions With Leading Indicators: Econometric Issues and Recent Experience," NBER Working Papers 4014, National Bureau of Economic Research, Inc.
- Artis, Michael J, 1993.
"Turning Point Prediction for the UK using CSO Leading Indicators,"
CEPR Discussion Papers
833, C.E.P.R. Discussion Papers.
- Artis, Michael J, et al, 1995. "Turning Point Prediction for the UK Using CSO Leading Indicators," Oxford Economic Papers, Oxford University Press, vol. 47(3), pages 397-417, July.
- Vuchelen, Jef, 2004. "Consumer sentiment and macroeconomic forecasts," Journal of Economic Psychology, Elsevier, vol. 25(4), pages 493-506, August.
- Marcellino, Massimiliano, 2005.
"Leading Indicators: What Have We Learned?,"
CEPR Discussion Papers
4977, C.E.P.R. Discussion Papers.
- Hyejung Moon & Jungick Lee, 2013. "Forecast evaluation of economic sentiment indicator for the Korean economy," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012., volume 36, pages 180-190 Bank for International Settlements.
- Agnello, Luca & Schuknecht, Ludger, 2009.
"Booms and busts in housing markets: determinants and implications,"
Working Paper Series
1071, European Central Bank.
- Agnello, Luca & Schuknecht, Ludger, 2011. "Booms and busts in housing markets: Determinants and implications," Journal of Housing Economics, Elsevier, vol. 20(3), pages 171-190, September.
- Meichi Huang, 2013. "Housing bubble implications: The perspective of housing price predictability," Economics Bulletin, AccessEcon, vol. 33(1), pages 586-596.
- Huang, MeiChi, 2014. "Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 2-16.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.