Is the Housing Market in the United States Really Weakly-Efficient?

References

• Akinsomi, O., Y. Coskun, R. Gupta., and C. K. M. Lau. 2018. “Impact of Volatility and Equity Market Uncertainty on Herd Behavior: Evidence from UK REITs.” Journal of European Real Estate Research 11 (2): 169–186. doi:10.1108/JERER-06-2017-0021.
   Web of Science ®Google Scholar
• Balcilar, M., R. Gupta, and S. M. Miller. 2014. “Housing and the Great Depression.” Applied Economics 46 (24): 2966–2981. doi:10.1080/00036846.2014.916393.
   Web of Science ®Google Scholar
• Bańbura, M., D. Giannone, and L. Reichlin. 2011. “Nowcasting.” In The Oxford Handbook of Economic Forecasting, edited by M. P. Clements and D. F. Hendry, 193–224. Oxford: Oxford University Press, United Kingdom.
   Google Scholar
• Bollerslev, T., A. Patton, and W. Wang. 2016. “Daily House Price Index: Construction Modelling and Longer-run Predictions.” Journal of Applied Econometrics 31: 1005–1025. doi:10.1002/jae.2471.
   Web of Science ®Google Scholar
• Canarella, G., L. A. Gil-Alana, R. Gupta, and S. M. Miller. Forthcoming. “Persistence and Cyclical Dynamics of U.S. And U.K. House Prices: Evidence from over 150 Years of Data.” Urban Studies.
   Web of Science ®Google Scholar
• Canarella, G., S. Miller, and S. Pollard. 2012. “Unit Roots and Structural Change: An Application to US Housing Price Indices.” Urban Studies 49: 757–776. doi:10.1177/0042098011404935.
   Web of Science ®Google Scholar
• Choi, H., H. G. Hong, J. D. Kubik, and J. P. Thompson 2016. “Sand States and the US Housing Crisis. Research Collection Lee Kong Chian School of Business.” https://ink.library.smu.edu.sg/lkcsb_research/5310/
   Google Scholar
• Dickey, D., and W. Fuller. 1981. “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root.” Econometrica 49: 1057–1072. doi:10.2307/1912517.
   Web of Science ®Google Scholar
• Fama, E. 1965. “The Behaviour of Stock Market Prices.” Journal of Business 38: 34–105. doi:10.1086/294743.
   Web of Science ®Google Scholar
• Fen, X., X. He, and J. Hu. 2011. “Wild Bootstrap for Quantile Regression.” Biometrika 98: 995–999. doi:10.1093/biomet/asr052.
   PubMed Web of Science ®Google Scholar
• Ghysels, E., A. Plazzi, R. Valkanov, and W. Torous. 2013. “Forecasting Real Estate Prices.” In Handbook of Economic Forecasting, edited by G. Elliott and A. Timmermann, 509–580. Vol. 2. Amsterdam: Elsevier, The Netherlands.
   Google Scholar
• Gupta, R., and S. M. Miller. 2012a. “”Ripple Effects” and Forecasting Home Prices in Los Angeles, Las Vegas, and Phoenix.” The Annals of Regional Science 48 (3): 763–782. doi:10.1007/s00168-010-0416-2.
   Web of Science ®Google Scholar
• Gupta, R., and S. M. Miller. 2012b. “The Time-Series Properties of House Prices: A Case Study of the Southern California Market.” The Journal of Real Estate Finance and Economics 44 (3): 339–361. doi:10.1007/s11146-010-9234-7.
   Web of Science ®Google Scholar
• Huber, F., and M. T. Punzi. Forthcoming. “International Housing Markets, Unconventional Monetary Policy and the Zero Lower Bound.” Macroeconomic Dynamics. doi:10.1017/S1365100518000494.
   Web of Science ®Google Scholar
• Linton, O., and Y. J. Whang. 2007. “A Quantilogram Approach to Evaluating Directional Predictability.” Journal of Econometrics 141: 250–282. doi:10.1016/j.jeconom.2007.01.004.
   Web of Science ®Google Scholar
• Nyakabawo, W. V., S. M. Miller, M. Balcilar, S. Das, and R. Gupta. 2015. “Temporal Causality between House Prices and Output in the U.S.: A Bootstrap Rolling-window Approach.” North American Journal of Economics and Finance 33 (1): 55–73. doi:10.1016/j.najef.2015.03.001.
   Web of Science ®Google Scholar
• Plakandaras, V., R. Gupta, G. Periklis, and T. Papadimitriou. 2015. “Forecasting the U.S. Real House Price Index.” Economic Modelling 45 (C): 259–267. doi:10.1016/j.econmod.2014.10.050.
   Google Scholar
• Samuelson, Paul. A. 1965. “Rational Theory Of Warrant Pricing.” Industrial Management Review 6 (2): 13-39.
   Web of Science ®Google Scholar
• Su, -J.-J., A. (W-K) Cheung, and E. Roca. 2017. “Quantile Serial Dependence in Crude Oil Markets: Evidence from Improved Quantilogram Analysis with Quantile Wild Bootstrapping.” Applied Economics 49 (29): 2817–2828. doi:10.1080/00036846.2016.1248356.
   Web of Science ®Google Scholar
• Wang, W. 2014. “Daily house price indexes: volatility dynamics and longer-run predictions.” Ph.D. Thesis, Duke University. https://dukespace.lib.duke.edu/dspace/handle/10161/8694
   Google Scholar