Bhatt, Vipul and Kishor, N. Kundan (2021): (A)Synchronous Housing Markets of Global Cities.
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Abstract
In this paper we examine house price synchronization in 15 global cities using real house price data from 1995:Q1-2020:Q2. We find that although there is evidence for bilateral positive phase synchronization, there is no evidence for an integrated global housing market for our sample of cities. Using a hierarchical clustering approach, we identify three clusters of cities with similar housing price cycles that are not solely determined by geographic proximity. We interpret this finding as suggestive of a rather segmented housing market for the global cities in our sample. Using a dynamic factor model with time-varying stochastic volatility we decompose a city's real housing price growth into a global component, a cluster-based component, and an idiosyncratic component. For most cities in our sample, the global component plays a minor role, whereas the cluster-based factor explains a large fraction of the observed variation in real house price growth with its contribution peaking during the Great Recession of 2007-09
Item Type: | MPRA Paper |
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Original Title: | (A)Synchronous Housing Markets of Global Cities |
Language: | English |
Keywords: | Global Housing Market, House Price Synchronization, Cluster Analysis, Dynamic Factor Model |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C38 - Classification Methods ; Cluster Analysis ; Principal Components ; Factor Models E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles F - International Economics > F3 - International Finance > F36 - Financial Aspects of Economic Integration F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F44 - International Business Cycles R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R3 - Real Estate Markets, Spatial Production Analysis, and Firm Location > R30 - General |
Item ID: | 107175 |
Depositing User: | N Kundan Kishor |
Date Deposited: | 15 Apr 2021 09:30 |
Last Modified: | 15 Apr 2021 09:30 |
References: | Alter, A., Dokko, J., and Seneviratne, D. (2018). House price synchronicity, banking integration, and global financial conditions. IMF Working Paper No. 18/250. B., D., Dewachter, H., Ferrari, S., Pirovano, M., and Van Nieuwenhuyze, C. (2016). Credit gaps in belgium: Identification, characteristics and lessons for macro- prudential policy. Financial Stability Report 2016. National Bank of Belgium. Cerutti, E., Dagher, J., and Dell’Ariccia, G. (2017). Housing finance and real-estate booms: A cross-country perspective. Journal of Housing Economics, 38:1 – 13. Claessens, S., Ayhan Kose, M., and Terrones, M. E. (2010). The global financial crisis: How similar? how different? how costly? Journal of Asian Economics, 21(3):247 – 264. Claessens, S., Kose, M. A., and Terrones, M. E. (2012). How do business and financial cycles interact? Journal of International Economics, 87(1):178 – 190. Favara, G. and Imbs, J. (2015). Credit supply and the price of housing. American Economic Review, 105(3):958–992. Francis, N., Owyang, M. T., and Savascin, O. (2017). An endogenously clustered factor approach to inter�national business cycles. Journal of Applied Econometrics, 32(7):1261–1276. Funke, M., Mihaylovski, P., and Wende, A. (2018). Out of sync subnational housing markets and macropru�dential policies. CESifo Working Paper No. 6887. Glaeser, E., Gyourko, J., and Saiz, A. (2008). Housing supply and housing bubbles. Journal of Urban Economics, 64(2):198–217. Gyourko, J., Mayer, C., and Sinai, T. (2013). Superstar cities. American Economic Journal: Economic Policy, 5(4):167–99. Hale, G. (2012). Bank relationships, business cycles, and financial crises. Journal of International Economics, 88(2):312 – 325. Harding, D. and Pagan, A. (2006). Synchronization of cycles. Journal of Econometrics, 132(1):59 – 79. Hern´andez-Murillo, R., Owyang, M. T., and Rubio, M. (2017). Clustered housing cycles. Regional Science and Urban Economics, 66:185 – 197. Hiebert, P. and Roma, M. (2010). Relative house price dynamics across euro area and us cities: Convergence or divergence? Working Paper No. 1206, European Central Bank. Hirata, H., Kose, M. A., Otrok, C., and Terrones, M. E. (2012). Global house price fluctuations: Synchro�nization and determinants. NBER Working Paper No. 18362. Hoesli, M. (2020). An investigation of the synchronization in global house prices. Journal of European Real Estate Research, 13(1):17–27. Hoesli, M. and Reka, K. (2013). Volatility spillovers, comovements and contagion in securitized real estate markets. Journal of Real Estate Finance and Economics, 47:1–35. Hosszejni, D. and Kastner, G. (2020). Modeling univariate and multivariate stochastic volatility in r with stochvol and factorstochvol. arXiv 1906.12123. International Monetary Fund (2018). House Price Synchronization: What Role for Financial Factors?, chapter 3. International Monetary Fund, Monetary and Capital Markets Department, USA. Jorda, O., Knoll, K., Kuvshinov, D., Schularick, M., and Taylor, A. (2019). The rate of return on everything, 1870-2015. Quarterly Journal of Economics, 134(3):1225–1298. 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. Kastner, G., Fr¨uhwirth-Schnatter, S., and Lopes, H. F. (2017). Efficient bayesian inference for multivariate factor stochastic volatility models. Journal of Computational and Graphical Statistics, 26(4):905–917. Katagiri, M. (2018). House price synchronization and financial openness: A dynamic factor model approach. IMF Working Paper No. 18/209,. Kim, S., Shephard, N., and Chib, S. (1998). Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models. The Review of Economic Studies, 65(3):361–393. Klarl, T. (2018). Housing is local: Applying a dynamic unobserved factor model for the dutch housing market. Economics Letters, 170:79 – 84. Kose, M. A., Otrok, C., and Whiteman, C. H. (2003). International business cycles: World, region, and country-specific factors. American Economic Review, 93(4):1216–1239. Hiebert, P. and Roma, M. (2010). Relative house price dynamics across euro area and us cities: Convergence or divergence? Working Paper No. 1206, European Central Bank. Hirata, H., Kose, M. A., Otrok, C., and Terrones, M. E. (2012). Global house price fluctuations: Synchro�nization and determinants. NBER Working Paper No. 18362. Hoesli, M. (2020). An investigation of the synchronization in global house prices. Journal of European Real Estate Research, 13(1):17–27. Hoesli, M. and Reka, K. (2013). Volatility spillovers, comovements and contagion in securitized real estate markets. Journal of Real Estate Finance and Economics, 47:1–35. Hosszejni, D. and Kastner, G. (2020). Modeling univariate and multivariate stochastic volatility in r with stochvol and factorstochvol. arXiv 1906.12123. International Monetary Fund (2018). House Price Synchronization: What Role for Financial Factors?, chapter 3. International Monetary Fund, Monetary and Capital Markets Department, USA. Jorda, O., Knoll, K., Kuvshinov, D., Schularick, M., and Taylor, A. (2019). The rate of return on everything, 1870-2015. Quarterly Journal of Economics, 134(3):1225–1298. 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. Kastner, G., Fr¨uhwirth-Schnatter, S., and Lopes, H. F. (2017). Efficient bayesian inference for multivariate factor stochastic volatility models. Journal of Computational and Graphical Statistics, 26(4):905–917. Katagiri, M. (2018). House price synchronization and financial openness: A dynamic factor model approach. IMF Working Paper No. 18/209,. Kim, S., Shephard, N., and Chib, S. (1998). Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models. The Review of Economic Studies, 65(3):361–393. Klarl, T. (2018). Housing is local: Applying a dynamic unobserved factor model for the dutch housing market. Economics Letters, 170:79 – 84. Kose, M. A., Otrok, C., and Whiteman, C. H. (2003). International business cycles: World, region, and country-specific factors. American Economic Review, 93(4):1216–1239. Zhou, J. and Gao, Y. (2012). Tail dependence in international real estate securities markets. Journal Real Estate Finance and Economics, 45:128–151. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/107175 |