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Identification and critical time forecasting of real estate bubbles in the USA

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  • Diego Ardila
  • Dorsa Sanadgol
  • Peter Cauwels
  • Didier Sornette

Abstract

We present a hybrid model for diagnosis and critical time forecasting of real estate bubbles. The model combines two elements: (1) the Log Periodic Power Law Singular model to describe endogenous price dynamics originated from positive feedback loops among economic agents; and (2) a diffusion index that creates a parsimonious representation of multiple macroeconomic variables. We explicitly compare the in-sample and out-sample behaviour of our model on the housing price indices of 380 US metropolitan areas. Empirical results suggest that the model is able to forecast the end of the bubbles and to identify the variables that are highly relevant during the bubble regime.

Suggested Citation

  • Diego Ardila & Dorsa Sanadgol & Peter Cauwels & Didier Sornette, 2017. "Identification and critical time forecasting of real estate bubbles in the USA," Quantitative Finance, Taylor & Francis Journals, vol. 17(4), pages 613-631, April.
    • Handle: RePEc:taf:quantf:v:17:y:2017:i:4:p:613-631
    DOI: 10.1080/14697688.2016.1207796
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    1. Peter C. B. Phillips & Mico Loretan, 1991. "Estimating Long-run Economic Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 407-436.
    2. Karl E. Case, 2000. "Real Estate and Macroeconomy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 31(2), pages 119-162.
    3. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    4. Hüsler, A. & Sornette, D. & Hommes, C.H., 2013. "Super-exponential bubbles in lab experiments: Evidence for anchoring over-optimistic expectations on price," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 304-316.
    5. Oriol Aspachs-Bracons & Pau Rabanal, 2010. "The drivers of housing cycles in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 101-130, March.
    6. Sornette, Didier & Woodard, Ryan & Yan, Wanfeng & Zhou, Wei-Xing, 2013. "Clarifications to questions and criticisms on the Johansen–Ledoit–Sornette financial bubble model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4417-4428.
    7. Kuo, Chiong-Long, 1996. "Serial Correlation and Seasonality in the Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 12(2), pages 139-162, March.
    8. Wanfeng Yan & Ryan Woodard & Didier Sornette, "undated". "The Role of diversification risk in financial bubbles," Working Papers ETH-RC-11-003, ETH Zurich, Chair of Systems Design.
    9. Røed Larsen, Erling & Weum, Steffen, 2008. "Testing the efficiency of the Norwegian housing market," Journal of Urban Economics, Elsevier, vol. 64(2), pages 510-517, September.
    10. Kim, Bong Han & Min, Hong-Ghi, 2011. "Household lending, interest rates and housing price bubbles in Korea: Regime switching model and Kalman filter approach," Economic Modelling, Elsevier, vol. 28(3), pages 1415-1423, May.
    11. André K. Anundsen, 2015. "Econometric Regime Shifts and the US Subprime Bubble," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 145-169, January.
    12. Ide, Kayo & Sornette, Didier, 2002. "Oscillatory finite-time singularities in finance, population and rupture," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 307(1), pages 63-106.
    13. Sornette, D & Takayasu, H & Zhou, W.-X, 2003. "Finite-time singularity signature of hyperinflation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(3), pages 492-506.
    14. Hyonho Chun & Sündüz Keleş, 2010. "Sparse partial least squares regression for simultaneous dimension reduction and variable selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(1), pages 3-25, January.
    15. Zhou, Wei-Xing & Sornette, Didier, 2006. "Fundamental factors versus herding in the 2000–2005 US stock market and prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 459-482.
    16. Campbell, Sean D. & Davis, Morris A. & Gallin, Joshua & Martin, Robert F., 2009. "What moves housing markets: A variance decomposition of the rent-price ratio," Journal of Urban Economics, Elsevier, vol. 66(2), pages 90-102, September.
    17. Karl E. Case & Robert J. Shiller, 1990. "Forecasting Prices and Excess Returns in the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 18(3), pages 253-273, September.
    18. Eric Mayer & Johannes Gareis, 2013. "What Drives Ireland’s Housing Market? A Bayesian DSGE Approach," Open Economies Review, Springer, vol. 24(5), pages 919-961, November.
    19. Hamilton, James D. & Whiteman, Charles H., 1985. "The observable implications of self-fulfilling expectations," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 353-373, November.
    20. Sornette, Didier & Johansen, Anders, 1998. "A hierarchical model of financial crashes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 261(3), pages 581-598.
    21. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    22. L. Lin & D. Sornette, 2013. "Diagnostics of rational expectation financial bubbles with stochastic mean-reverting termination times," The European Journal of Finance, Taylor & Francis Journals, vol. 19(5), pages 344-365, May.
    23. Andersen, J.V. & Sornette, D., 2004. "Fearless versus fearful speculative financial bubbles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(3), pages 565-585.
    24. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    25. Rangan Gupta, 2013. "Forecasting house prices for the four census regions and the aggregate US economy in a data-rich environment," Applied Economics, Taylor & Francis Journals, vol. 45(33), pages 4677-4697, November.
    26. Filimonov, V. & Sornette, D., 2013. "A stable and robust calibration scheme of the log-periodic power law model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3698-3707.
    27. Blanchard, Olivier Jean, 1979. "Speculative bubbles, crashes and rational expectations," Economics Letters, Elsevier, vol. 3(4), pages 387-389.
    28. Zhou, Wei-Xing & Sornette, Didier, 2006. "Is there a real-estate bubble in the US?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(1), pages 297-308.
    29. Kelly, Bryan & Pruitt, Seth, 2015. "The three-pass regression filter: A new approach to forecasting using many predictors," Journal of Econometrics, Elsevier, vol. 186(2), pages 294-316.
    30. Vladimir Filimonov & Didier Sornette, 2011. "A Stable and Robust Calibration Scheme of the Log-Periodic Power Law Model," Papers 1108.0099, arXiv.org, revised Jun 2013.
    31. Croce, Roberto M. & Haurin, Donald R., 2009. "Predicting turning points in the housing market," Journal of Housing Economics, Elsevier, vol. 18(4), pages 281-293, December.
    32. Lin, L. & Ren, R.E. & Sornette, D., 2014. "The volatility-confined LPPL model: A consistent model of ‘explosive’ financial bubbles with mean-reverting residuals," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 210-225.
    33. Goodman, Allen C. & Thibodeau, Thomas G., 2008. "Where are the speculative bubbles in US housing markets?," Journal of Housing Economics, Elsevier, vol. 17(2), pages 117-137, June.
    34. Hamilton, Bruce W. & Schwab, Robert M., 1985. "Expected appreciation in urban housing markets," Journal of Urban Economics, Elsevier, vol. 18(1), pages 103-118, July.
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