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US real estate inflation prediction: Exchange rates and net foreign assets

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  • McGurk, Zachary
Abstract
The recent housing price inflation forecasting literature has focused on the use of domestic variables for prediction of housing price inflation. However, around 7% of all US housing sales are attributed to international buyers; a potentially important market force. Further, international finance theory finds a role for foreign savings shocks in causing the housing price bubble of the last decade. Under floating exchange rate regimes, the Dornbusch model predicts shocks to domestic or foreign economies will be reflected in exchange rates. When exchange rates are fixed, shocks are likely to affect the net foreign asset holdings. In this study, I examine the role of exchange rates returns and the net change in foreign asset holdings in improving US real estate inflation forecasts. I conduct in-sample and out-of-sample comparison of forecasting models relative to an autoregressive baseline model. I find that the inclusion of foreign sector variables can improve the US real estate inflation forecasts by up to 40%. This improvement is mostly driven by changes in the net foreign asset holdings at longer horizons. The results are robust to samples at the metropolitan level although with different gains.

Suggested Citation

  • McGurk, Zachary, 2020. "US real estate inflation prediction: Exchange rates and net foreign assets," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 53-66.
    • Handle: RePEc:eee:quaeco:v:75:y:2020:i:c:p:53-66
    DOI: 10.1016/j.qref.2019.04.004
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    as
    1. Anthony Y. Gu, 2002. "The Predictability of House Prices," Journal of Real Estate Research, American Real Estate Society, vol. 24(3), pages 213-234.
    2. Todd E. Clark, 2004. "Can out-of-sample forecast comparisons help prevent overfitting?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(2), pages 115-139.
    3. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    4. Jack Favilukis & Sydney C. Ludvigson & Stijn Van Nieuwerburgh, 2017. "The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk Sharing in General Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 140-223.
    5. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    6. Ambrogio Cesa‐Bianchi & Luis Felipe Cespedes & Alessandro Rebucci, 2015. "Global Liquidity, House Prices, and the Macroeconomy: Evidence from Advanced and Emerging Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 301-335, 03.
    7. Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
    8. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    9. Fratzscher, Marcel & Juvenal, Luciana & Sarno, Lucio, 2010. "Asset prices, exchange rates and the current account," European Economic Review, Elsevier, vol. 54(5), pages 643-658, July.
    10. Mr. Andrea Bubula & Ms. Inci Ötker, 2002. "The Evolution of Exchange Rate Regimes Since 1990: Evidence From De Facto Policies," IMF Working Papers 2002/155, International Monetary Fund.
    11. Felipe G. Morandé & Matías Tapia, 2002. "Exchange Rate Policy in Chile: From the Band to Floating and Beyond," Working Papers Central Bank of Chile 152, Central Bank of Chile.
    12. Ricardo J. Caballero & Emmanuel Farhi & Pierre-Olivier Gourinchas, 2008. "An Equilibrium Model of "Global Imbalances" and Low Interest Rates," American Economic Review, American Economic Association, vol. 98(1), pages 358-393, March.
    13. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2019. "Credit Supply and the Housing Boom," Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1317-1350.
    14. Plakandaras, Vasilios & Gupta, Rangan & Gogas, Periklis & Papadimitriou, Theophilos, 2015. "Forecasting the U.S. real house price index," Economic Modelling, Elsevier, vol. 45(C), pages 259-267.
    15. Filipa Sá & Tomasz Wieladek, 2015. "Capital Inflows and the U.S. Housing Boom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 221-256, March.
    16. Antonello D'Agostino & Paolo Surico, 2009. "Does Global Liquidity Help to Forecast U.S. Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 479-489, March.
    17. Clark, Todd & McCracken, Michael, 2013. "Advances in Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1107-1201, Elsevier.
    18. Karl E. Case & Robert J. Shiller, 1987. "Prices of single-family homes since 1970: new indexes for four cities," New England Economic Review, Federal Reserve Bank of Boston, issue Sep, pages 45-56.
    19. Aizenman, Joshua & Jinjarak, Yothin, 2009. "Current account patterns and national real estate markets," Journal of Urban Economics, Elsevier, vol. 66(2), pages 75-89, September.
    20. repec:fip:fedgsq:y:2005:i:mar10 is not listed on IDEAS
    21. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    22. Atsushi Inoue & Lutz Kilian, 2005. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 371-402.
    23. Clark, Todd E. & McCracken, Michael W., 2005. "The power of tests of predictive ability in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 124(1), pages 1-31, January.
    24. Andrea Ferrero, 2015. "House Price Booms, Current Account Deficits, and Low Interest Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 261-293, March.
    25. Andrés Sansone & Santiago Justel, 2016. "Exchange rate pass-through to prices: var evidence for Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(1), pages 20-37, April.
    26. Barbara Rossi & Atsushi Inoue, 2012. "Out-of-Sample Forecast Tests Robust to the Choice of Window Size," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 432-453, April.
    27. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    28. Kouwenberg, Roy & Zwinkels, Remco, 2014. "Forecasting the US housing market," International Journal of Forecasting, Elsevier, vol. 30(3), pages 415-425.
    29. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2015. "The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US," Applied Economics, Taylor & Francis Journals, vol. 47(22), pages 2259-2277, May.
    30. Yang, Guangpu & Gu, Qingyang, 2016. "Effects of exchange rate variations on bilateral trade with a vehicle currency: Evidence from China and Singapore," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 50-73.
    31. David E. Rapach & Jack K. Strauss, 2007. "Forecasting real housing price growth in the Eighth District states," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 33-42.
    32. Rapach, David E. & Strauss, Jack K., 2009. "Differences in housing price forecastability across US states," International Journal of Forecasting, Elsevier, vol. 25(2), pages 351-372.
    33. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    34. Ambrogio Cesa‐Bianchi & Luis Felipe Cespedes & Alessandro Rebucci, 2015. "Global Liquidity, House Prices, and the Macroeconomy: Evidence from Advanced and Emerging Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 301-335, March.
    35. Jack Favilukis & David Kohn & Sydney C. Ludvigson & Stijn Van Nieuwerburgh, 2012. "International Capital Flows and House Prices: Theory and Evidence," NBER Chapters, in: Housing and the Financial Crisis, pages 235-299, National Bureau of Economic Research, Inc.
    36. Hill, R. Carter & Sirmans, C. F. & Knight, John R., 1999. "A random walk down main street?," Regional Science and Urban Economics, Elsevier, vol. 29(1), pages 89-103, January.
    37. Ben S. Bernanke, 2005. "The global saving glut and the U.S. current account deficit," Speech 77, Board of Governors of the Federal Reserve System (U.S.).
    38. 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.
    39. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
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    More about this item

    Keywords

    Housing inflation; Capital flows; Exchange rate; Prediction;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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