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Global Cities and Local Challenges: Booms and Busts in the London Real Estate Market

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In this paper we investigate the dynamic features of house prices in London. Using a generalized smooth transition model (GSTAR) we show that dynamic symmetry in price cycles in the London housing market is strongly rejected. We also show that the GSTAR model is able to replicate the features of the observed cycle in the simulated data. Further, our results show that the proposed model performs well when compared to other linear and nonlinear speci?cations in a out-of-sample forecasting exercise.

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  • Canepa, Alessandra & Zanetti Chini, Emilio & Alqaralleh, Huthaifa, 2020. "Global Cities and Local Challenges: Booms and Busts in the London Real Estate Market," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202011, University of Turin.
    • Handle: RePEc:uto:dipeco:202011
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    1. Badarinza, Cristian & Ramadorai, Tarun, 2018. "Home away from home? Foreign demand and London house prices," Journal of Financial Economics, Elsevier, vol. 130(3), pages 532-555.
    2. W. Miles, 2008. "Boom–Bust Cycles and the Forecasting Performance of Linear and Non-Linear Models of House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 249-264, April.
    3. Alessandra Canepa & Emilio Zanetti Chini & Huthaifa Alqaralleh, 2020. "Global Cities and Local Housing Market Cycles," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 671-697, November.
    4. K. S. Chan & H. Tong, 1986. "On Estimating Thresholds In Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 7(3), pages 179-190, May.
    5. Sichel, Daniel E, 1993. "Business Cycle Asymmetry: A Deeper Look," Economic Inquiry, Western Economic Association International, vol. 31(2), pages 224-236, April.
    6. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    7. Zabel, Jeffrey & Dalton, Maurice, 2011. "The impact of minimum lot size regulations on house prices in Eastern Massachusetts," Regional Science and Urban Economics, Elsevier, vol. 41(6), pages 571-583.
    8. Mark J. Holmes & Arthur Grimes, 2008. "Is There Long-run Convergence among Regional House Prices in the UK?," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1531-1544, July.
    9. Dusansky, Richard & Koc, Cagatay, 2007. "The capital gains effect in the demand for housing," Journal of Urban Economics, Elsevier, vol. 61(2), pages 287-298, March.
    10. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1253-1296.
    11. Jackson, Kristoffer (Kip), 2018. "Regulation, land constraints, and California’s boom and bust," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 130-147.
    12. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "This Time is Different: A Panoramic View of Eight Centuries of Financial Crises," Annals of Economics and Finance, Society for AEF, vol. 15(2), pages 215-268, November.
    13. Erceg, Christopher & Levin, Andrew, 2006. "Optimal monetary policy with durable consumption goods," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1341-1359, October.
    14. Dennis R. Capozza & Patric H. Hendershott & Charlotte Mack, 2004. "An Anatomy of Price Dynamics in Illiquid Markets: Analysis and Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(1), pages 1-32, March.
    15. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    16. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    17. Edward Glaeser & Joseph Gyourko, 2018. "The Economic Implications of Housing Supply," Journal of Economic Perspectives, American Economic Association, vol. 32(1), pages 3-30, Winter.
    18. Giovanni Dell’ariccia & Deniz Igan & Luc Laeven, 2012. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 367-384, March.
    19. Chang-Tai Hsieh & Enrico Moretti, 2019. "Housing Constraints and Spatial Misallocation," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 1-39, April.
    20. Terasvirta, Timo & Tjostheim, Dag & Granger, Clive W. J., 2010. "Modelling Nonlinear Economic Time Series," OUP Catalogue, Oxford University Press, number 9780199587155.
    21. Geweke, John & Amisano, Gianni, 2011. "Optimal prediction pools," Journal of Econometrics, Elsevier, vol. 164(1), pages 130-141, September.
    22. Terasvirta, Timo & van Dijk, Dick & Medeiros, Marcelo C., 2005. "Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination," International Journal of Forecasting, Elsevier, vol. 21(4), pages 755-774.
    23. Cerutti, Eugenio & Claessens, Stijn & Laeven, Luc, 2017. "The use and effectiveness of macroprudential policies: New evidence," Journal of Financial Stability, Elsevier, vol. 28(C), pages 203-224.
    24. 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.
    25. Rangan Gupta & Stephen M. Miller, 2009. "The Time-Series Properties of Housing Prices: A Case Study of the Southern California Market," Working Papers 200908, University of Pretoria, Department of Economics.
    26. Gordon W. Crawford & Michael C. Fratantoni, 2003. "Assessing the Forecasting Performance of Regime‐Switching, ARIMA and GARCH Models of House Prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(2), pages 223-243, June.
    27. Joseph Gyourko & Christopher Mayer & Todd Sinai, 2013. "Superstar Cities," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 167-199, November.
    28. Alqaralleh, Huthaifa & Canepa, Alessandra, 2020. "Housing market cycles in large urban areas," Economic Modelling, Elsevier, vol. 92(C), pages 257-267.
    29. Quigley, John M. & Rosenthal, Larry A., 2005. "The Effects of Land-Use Regulation on the Price of Housing: What Do We Know? What Can We Learn?," Berkeley Program on Housing and Urban Policy, Working Paper Series qt90m9g90w, Berkeley Program on Housing and Urban Policy.
    30. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    31. Gerlach, Stefan & Peng, Wensheng, 2005. "Bank lending and property prices in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 461-481, February.
    32. Rangan Gupta & Stephen Miller, 2012. "The Time-Series Properties of House Prices: A Case Study of the Southern California Market," The Journal of Real Estate Finance and Economics, Springer, vol. 44(3), pages 339-361, April.
    33. 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.
    34. Sei-Wan Kim & Radha Bhattacharya, 2009. "Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 443-460, May.
    35. Rapach, David E. & Wohar, Mark E., 2006. "The out-of-sample forecasting performance of nonlinear models of real exchange rate behavior," International Journal of Forecasting, Elsevier, vol. 22(2), pages 341-361.
    36. Philip Lowe & Claudio Borio, 2002. "Asset prices, financial and monetary stability: exploring the nexus," BIS Working Papers 114, Bank for International Settlements.
    37. Szu-Yin Hung & John Glascock, 2010. "Volatilities and Momentum Returns in Real Estate Investment Trusts," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 126-149, August.
    38. 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.
    39. Glaeser, Edward L. & Gyourko, Joseph & Saiz, Albert, 2008. "Housing supply and housing bubbles," Journal of Urban Economics, Elsevier, vol. 64(2), pages 198-217, September.
    40. Meen, Geoffrey, 2002. "The Time-Series Behavior of House Prices: A Transatlantic Divide?," Journal of Housing Economics, Elsevier, vol. 11(1), pages 1-23, March.
    41. Ume, Ejindu, 2018. "The impact of monetary policy on housing market activity: An assessment using sign restrictions," Economic Modelling, Elsevier, vol. 68(C), pages 23-31.
    42. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    43. Capozza, Dennis R. & Seguin, Paul J., 1996. "Expectations, efficiency, and euphoria in the housing market," Regional Science and Urban Economics, Elsevier, vol. 26(3-4), pages 369-386, June.
    44. Adrian R. Pagan & Kirill A. Sossounov, 2003. "A simple framework for analysing bull and bear markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 23-46.
    45. Mayer, Christopher J. & Somerville, C. Tsuriel, 2000. "Residential Construction: Using the Urban Growth Model to Estimate Housing Supply," Journal of Urban Economics, Elsevier, vol. 48(1), pages 85-109, July.
    46. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    47. Patrick McAllister, 2001. "Convergence in European Real Estate Markets: Theoretical Perspectives and Empirical Evidence," ERES eres2001_225, European Real Estate Society (ERES).
    48. Juan Cabrera & Tao Wang & Jian Yang, 2011. "Linear and Nonlinear Predictability of International Securitized Real Estate Returns: A Reality Check," Journal of Real Estate Research, American Real Estate Society, vol. 33(4), pages 565-594.
    49. Stephen Leybourne & Paul Newbold & Dimitrios Vougas, 1998. "Unit roots and smooth transitions," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(1), pages 83-97, January.
    50. Rahul Srivatsa & Stephen L. Lee, 2012. "European real estate market convergence," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 30(5), pages 458-472, August.
    51. Zanetti Chini, Emilio, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," International Journal of Forecasting, Elsevier, vol. 34(4), pages 711-732.
    52. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
    53. Simon Stevenson & Alexey Akimov & Elaine Hutson & Alexandra Krystalogianni, 2014. "Concordance in Global Office Market Cycles," Regional Studies, Taylor & Francis Journals, vol. 48(3), pages 456-470, March.
    54. Canepa, Alessandra & Chini, Emilio Zanetti, 2016. "Dynamic asymmetries in house price cycles: A generalized smooth transition model," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 91-103.
    55. Felix Chan & Michael McAleer, 2002. "Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte Carlo evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 509-534.
    56. Blatt, John Markus, 1980. "On the Frisch Model of Business Cycles," Oxford Economic Papers, Oxford University Press, vol. 32(3), pages 467-479, November.
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    2. Huthaifa Alqaralleh & Ahmad Al-Majali & Abeer Alsarayrh, 2021. "Analyzing the Dynamics Between Macroeconomic Variables and the Stock Indexes of Emerging Markets, Using Non-linear Methods," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(3), pages 193-204, May.

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    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
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