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The more, the better? Forecasting gains from high-frequency housing prices in a Markov-switching dynamic factor model

Published online by Cambridge University Press:  20 August 2021

MeiChi Huang
MeiChi Huang*
Affiliation:
Department of Business Administration, National Taipei University, 151, University Rd., San Shia District, New Taipei City, 23741 Taiwan, Republic of China
*
Email: meichihuang@mail.ntpu.edu.tw.
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Abstract

This paper extracts housing boom-bust cycle signals from metropolitan statistical area (MSA)-level housing prices using a Markov-switching dynamic factor model. To mitigate the estimation bias, it utilizes high-frequency housing prices that follow the methodology of the monthly Case–Shiller house price indices. The housing bust phases specified from weekly and daily housing prices precede those based on monthly prices by approximately 2 years. MSAs with top signal-to-noise ratios offer greater marginal contributions to improvements in forecasting housing cycles than MSAs with bottom ratios for all frequencies. The results highlight the importance of indicator quality and provide evidence against “The more, the better” since incorporating more MSA-level housing prices into housing factors does not guarantee more satisfactory housing cycle forecasts.

Keywords

MSA (Metropolitan Statistical Area)-level housing priceMarkov-switching dynamic factor modelhousing cyclesignal-to-noise ratio91B84
Type
Articles
Information
Macroeconomic Dynamics , Volume 27 , Issue 1 , January 2023 , pp. 93 - 110
Copyright
© Cambridge University Press 2021

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References

Akay, O., Senyuz, Z. and Yoldas, E. (2013) Hedge fund contagion and risk-adjusted returns: A Markov-switching dynamic factor approach. Journal of Empirical Finance 22, 16–29.CrossRefGoogle Scholar
Akkoyun, H. C., Arslan, Y. and Kanik, B. (2013) Housing prices and transaction volume. Journal of Housing Economics 22(2), 119–134.CrossRefGoogle Scholar
Alvarez, R., Camacho, M. and Perez-Quiros, G. (2016) Aggregate versus disaggregate information in dynamic factor models. Journal of International Forecasting 32(3), 680–694.CrossRefGoogle Scholar
Baltagi, B. H. and Li, J. (2014) Further evidence on the spatio-temporal model of house prices in the United States. Journal of Applied Econometrics 29(3), 515–522.CrossRefGoogle Scholar
Bao, T. and Ding, L. (2016) Nonrecourse mortgage and housing price boom, bust and rebound. Real Estate Economics 44(3), 584–605.CrossRefGoogle Scholar
Barnett, W. A., Chauvet, M. and Leiva-Leon, D. (2016) Real-time nowcasting of nominal GDP with structural breaks. Journal of Econometrics 191(2), 312–324.CrossRefGoogle Scholar
Berger, T. and Pozzi, L. (2013) Measuring time-varying financial market integration: An unobserved components approach. Journal of Banking and Finance 37(2), 463–473.Google Scholar
Bianchi, D., Guidolin, M. and Ravazzolo, F. (2018) Dissecting the 2007–2009 real estate market bust: Systematic pricing correction or just a housing fad? Journal of Financial Econometrics 16(1), 34–62.CrossRefGoogle Scholar
Boivin, J. and Ng, S. (2005) Understanding and comparing factor-based forecasts. International Journal of Central Banking 1(3), 1–29.Google Scholar
Boivin, J. and Ng, S. (2006) Are more data always better for factor analysis? Journal of Econometrics 132(1), 169–194.CrossRefGoogle Scholar
Bollerslev, T., Patton, A. J. and Wang, W. (2016) Daily house price indices: Construction, modeling, and longer-run predictions. Journal of Applied Econometrics 31(6), 1005–1025.Google Scholar
Breitung, J. and Eickmeier, S. (2011) Testing for structural breaks in dynamic factor models. Journal of Econometrics 163(1), 71–84.CrossRefGoogle Scholar
Burns, A. F. and Mitchell, W. C. (1946) Measuring Business Cycles. New York: NBER. Google Scholar
Calhoun, C. A., Chinloy, P. and Megbolugbe, I. F. (1995) Temporal aggregation and house price index construction. Journal of Housing Research 6(3), 419–438.Google Scholar
Camacho, M., Perez-Quiros, G. and Poncela, P. (2015) Extracting nonlinear signals from several economic indicators. Journal of Applied Econometrics 30(7), 1073–1089.CrossRefGoogle Scholar
Campbell, J. Y. and Cocco, J. F. (2007) How do house prices affect consumption? Evidence from micro data. Journal of Monetary Economics 54(3), 591–621.CrossRefGoogle Scholar
Case, K. and Shiller, R. J. (1989) The efficiency of the market for single family homes. American Economic Review 79(1), 125–137.Google Scholar
Case, K. E. and Shiller, R. J. (1990) Forecasting prices and excess returns in the housing market. Real Estate Economics 18(3), 253–273.CrossRefGoogle Scholar
Chang, K. L., Chen, N. K. and Leung, K. Y. (2011) Monetary Policy, term structure and asset return: Comparing REIT, housing and stock. Journal of Real Estate Finance and Economics 43(1–2), 221–257.CrossRefGoogle Scholar
Chauvet, M. (1998) An econometric characterization of business cycles with factor structure and Markov Switching. International Economic Review 39(4), 969–996.CrossRefGoogle Scholar
Clayton, J., Miller, N. and Peng, L. (2010) Price-volume correlation in the housing markets: Causality and co-movements. Journal of Real Estate Finance and Economics 40(1), 14–40.CrossRefGoogle Scholar
Cordis, A. S. and Kirby, C. (2011) Regime-switching factor models in which the number of factors defines the regime. Economics Letters 112(2), 198–201.CrossRefGoogle Scholar
Cotter, J., Gabriel, S. and Roll, R. (2015) Can housing risk be diversified? A cautionary tale from the housing boom and bust. Review of Financial Studies 28(3), 913–936.CrossRefGoogle Scholar
Cotter, J. and Roll, R. (2015) A Comparative anatomy of residential REITs and private real estate markets: Returns, risks and distributional characteristics. Real Estate Economics 43(1), 209–240.CrossRefGoogle Scholar
Crawford, G. W. and Fratantoni, M. C. (2003) Assessing the forecasting performance of regime-switching, ARIMA and GARCH models of house prices. Real Estate Economics 31(2), 223–243.CrossRefGoogle Scholar
Croce, R. M. and Haurin, D. R. (2009) Predicting turning points in the housing market. Journal of Housing Economics 18(4), 281–293.CrossRefGoogle Scholar
Del Negro, M. and Otrok, C. (2007) 99 luftballons: Monetary policy and the house price boom across U.S. States. Journal of Monetary Economics 54(7), 1962–1985.CrossRefGoogle Scholar
Diebold, F. X. and Rudebusch, G. D. (1989) Scoring the leading indicators. Journal of Business 62(3), 369–91.CrossRefGoogle Scholar
Fadiga, M. L. and Wang, Y. (2009) A multivariate unobserved component analysis of US housing market. Journal of Economics and Finance 33(1), 13–26.Google Scholar
Flor, M. A. and Klarl, T. (2017) On the cyclicity of regional house prices: New evidence for U.S. metropolitan statistical areas. Journal of Economic Dynamics and Control 77(C), 134–156.CrossRefGoogle Scholar
Fratantoni, M. and Schuh, S. (2003) Monetary policy, housing, and heterogeneous regional markets. Journal of Money Credit, and Banking 35(4), 557–589.CrossRefGoogle Scholar
Garcia-Martos, C., Rodriguez, J. and Sanchez, M. J. (2011) Forecasting electricity prices and their volatilities using unobserved components. Energy Economics 33(6), 1227–1239.CrossRefGoogle Scholar
Ghent, A. C. and Owyang, M. T. (2010) Is housing the business cycle? Evidence from US cities. Journal of Urban Economics 67(3), 336–351.CrossRefGoogle Scholar
Giannetti, A. (2018) Does temporal aggregation explain the persistence of the S&P/Case-Shiller indices? Evidence from a longitudinal specification. Real Estate Economics 46(3), 559–581.Google Scholar
Glaeser, E. L., Gyourko, J. and Saiz, A. (2008) Housing supply and housing bubbles. Journal of Urban Economics 64(2), 198–217.CrossRefGoogle Scholar
Goodman, A. C. and Thibodeau, T. G. (2008) Where are the speculative bubbles in US housing market? Journal of Housing Economics 17(2), 117–137.CrossRefGoogle Scholar
Han, L. (2013) Understanding the puzzling risk-return relationship for housing. Review of Financial Studies 26(4), 877–928.CrossRefGoogle Scholar
Harding, D. and Pagan, A. (2002) Dissecting the cycle: A methodological investigation. Journal of Monetary Economics 49(2), 365–381.Google Scholar
Hernández-Murillo, R., Owyang, M. and Rubio, M. (2017) Clustered housing cycles. Regional Science and Urban Economics 66(C), 185–197.CrossRefGoogle Scholar
Holly, S., Pesaran, M. H. and Yamagata, T. (2010) A spatio-temporal model of house prices in the USA. Journal of Econometrics 158(1), 160–173.CrossRefGoogle Scholar
Huang, M. C. and Yeh, L. Y. (2015) Should the Fed take extra action for the recent housing bubble? Evidence from asymmetric transitory shocks. Journal of Economics and Finance 39(4), 762–781.CrossRefGoogle Scholar
Hwang, M. and Quigley, J. M. (2006) Economic fundamentals in local housing markets: Evidence from US metropolitan regions. Journal of Regional Science 46(3), 425–453.CrossRefGoogle Scholar
Kallberg, J. G., Liu, C. H. and Pasquariello, P. (2014) On the price comovement of U.S. residential real estate markets. Real Estate Economics 42(1), 71–108.CrossRefGoogle Scholar
Kim, C. J. and Nelson, C. R. (1999) Has the U.S. economy become more stable? A Bayesian approach based on a Markov-switching model of the business cycle. Review of Economics and Statistics 81(4), 608–616.CrossRefGoogle Scholar
Lai, R. N. and Van-Order, R. A. (2010) Momentum and house price growth in the U.S.: Anatomy of a bubble. Real Estate Economics 38(4), 753–773.CrossRefGoogle Scholar
Lai, R. N. and Van-Order, R. A. (2017) U.S. house prices over the last 30 years: Bubbles, regime shifts and market (In)efficiency. Real Estate Economics 45(2), 259–300.CrossRefGoogle Scholar
Leamer, E. E. (2007) Housing is the Business Cycle. NBER Working Paper: No.13428.CrossRefGoogle Scholar
Leung, C. K. Y. and Teo, W. L. (2011) Should the optimal portfolio be region-specific? A multi-region model with monetary policy and asset price co-movements. Regional Science and Urban Economics 41(3), 293–304.CrossRefGoogle Scholar
McDuff, D. (2011) Demand substitution across US cities: Observable similarity and home price correlation. Journal of Urban Economics 70(1), 1–14.CrossRefGoogle Scholar
Mian, A., Sufi, A. and Trebbi, F. (2015) Foreclosures, house prices, and the real economy. Journal of Finance 70(6), 2587–2634.CrossRefGoogle Scholar
Miao, H., Ramchander, S. and Simpson, M. W. (2011) Return and volatility transmission in U.S. housing markets. Real Estate Economics 39(4), 701–741.CrossRefGoogle Scholar
Miller, N., Peng, L. and Sklarz, M. (2011a) House prices and economic growth. Journal of Real Estate Finance and Economics 42(4), 522–541.CrossRefGoogle Scholar
Miller, N., Peng, L. and Sklarz, M. (2011b) The economic impact of anticipated house price changes—Evidence from home sales. Real Estate Economics 39(2), 345–378.CrossRefGoogle Scholar
Moench, E. and Ng, S. (2011) A hierarchical factor analysis of U.S. housing market dynamics. Econometrics Journal 14(1), C1–C24.Google Scholar
Moscone, F., Tosetti, E. L. and Canepa, A. (2014) Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects. Regional Science and Urban Economics 49(C), 129–146.CrossRefGoogle Scholar
Pagan, A. R. and Sossounov, K. A. (2003) A simple framework for analyzing bull and bear markets. Journal of Applied Econometrics 18(1), 23–46.CrossRefGoogle Scholar
Peng, L. and Thibodeau, T. G. (2017) Idiosyncratic risk of house prices: Evidence from 26 million home sales. Real Estate Economics 45(2), 340–375.CrossRefGoogle Scholar
Rapach, D. E. and Strauss, J. K. (2009) Differences in housing price forecastability across US states. International Journal of Forecasting 25(2), 351–372.CrossRefGoogle Scholar
Rehring, C. (2012) Real estate in a mixed-asset portfolio: The role of the investment horizon. Real Estate Economics 40(1), 65–95.CrossRefGoogle Scholar
Saiz, A. (2010) The geographic determinants of housing supply. Quarterly Journal of Economics 125(3), 1253–1296.Google Scholar
Senyuz, Z. (2011) Factor analysis of permanent and transitory dynamics of the US economy and the stock market. Journal of Applied Econometrics 26(6), 975–998.CrossRefGoogle Scholar
Stock, J. H. and Watson, M. W. (2002) Macroeconomic forecasting using diffusion indexes. Journal of Business and Economic Statistics 20(2), 147–162.CrossRefGoogle Scholar
Stock, J. H. and Watson, M. W. (2009) The evolution of national and regional factors in U.S. housing construction. In: Bollerslev, T., Russell, J. and Watson, M. (eds.), Volatility and Time Series Econometrics: Essays in Honour of Robert F. Engle. Oxford: Oxford University Press.Google Scholar