Are securitised real estate markets efficient?
AbstractWe re-examine the efficiency of real estate markets based on the Escanciano-Lobato (2009) autocorrelation test which we improved by means of wild bootstrapping. Through Monte Carlo simulation, we find that the wild bootstrap-based autocorrelation test has very good performance even in small samples. We apply the improved test to examine the efficiency of 14 international securitized real estate markets—Australia, Canada, France, Germany, Hong Kong, Italy, Japan, Netherlands, Norway, Singapore, Sweden, Switzerland, United Kingdom and the United States. Our results show that only six of these markets—Australia, Hong Kong, Italy, Japan, Sweden and the United States are efficient while the rest are inefficient. We also find that the degree of efficiency or inefficiency of each of these markets varies considerably across time. These findings indicate that real estate markets are relatively less efficient as compared to stock and bond markets in general and may also offer an explanation as to why existing studies on real estate market efficiency have mixed results.
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Bibliographic InfoArticle provided by Elsevier in its journal Economic Modelling.
Volume (Year): 29 (2012)
Issue (Month): 3 ()
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Web page: http://www.elsevier.com/locate/inca/30411
Autocorrelation test; Market efficiency; Real estate;
Find related papers by JEL classification:
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Giovanni Dell'Ariccia & Luc Laeven & Deniz Igan, 2008.
"Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market,"
IMF Working Papers
08/106, International Monetary Fund.
- 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, 03.
- Dell''Ariccia, Giovanni & Igan, Deniz & Laeven, Luc, 2008. "Credit Booms and Lending Standards: Evidence From The Subprime Mortgage Market," CEPR Discussion Papers 6683, C.E.P.R. Discussion Papers.
- Dell’Ariccia, G. & Igan, D. & Laeven, L., 2009. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Discussion Paper 2009-46 S, Tilburg University, Center for Economic Research.
- Gonçalves, Sílvia & KILIAN, Lutz, 2003.
"Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form,"
Cahiers de recherche
01-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 123(1), pages 89-120, November.
- Sílvia Gonçalves & Lutz Kilian, 2003. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," CIRANO Working Papers 2003s-17, CIRANO.
- Gonçalves, Sílvia & Kilian, Lutz, 2002. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Working Paper Series 0196, European Central Bank.
- Kilian, Lutz & Gonçalves, Sílvia, 2002. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Discussion Paper Series 1: Economic Studies 2002,26, Deutsche Bundesbank, Research Centre.
- GONÇALVES, Silvia & KILIAN, Lutz, 2003. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Cahiers de recherche 2003-01, Universite de Montreal, Departement de sciences economiques.
- Russell Davidson & Emmanuel Flachaire, 2000.
"The Wild Bootstrap, Tamed at Last,"
Econometric Society World Congress 2000 Contributed Papers
1413, Econometric Society.
- Emmanuel Flachaire, 2001. "The Wild Bootstrap, Tamed at Last," STICERD - Distributional Analysis Research Programme Papers 58, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Davidson, R. & Flachaire, E., 1999. "The Wild Bootstrap, Tamed at Last," G.R.E.Q.A.M. 99a32, Universite Aix-Marseille III.
- Russell Davidson & Emmanuel Flachaire, 2001. "The Wild Bootstrap, Tamed at Last," Working Papers 1000, Queen's University, Department of Economics.
- Ser-Huang Poon, 2004. "Extreme Value Dependence in Financial Markets: Diagnostics, Models, and Financial Implications," Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 581-610.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Jun Liu & Francis A. Longstaff & Jun Pan, 2002.
"Dynamic Asset Allocation With Event Risk,"
NBER Working Papers
9103, National Bureau of Economic Research, Inc.
- Cavaliere, Giuseppe & Taylor, A.M. Robert, 2008. "Bootstrap Unit Root Tests For Time Series With Nonstationary Volatility," Econometric Theory, Cambridge University Press, vol. 24(01), pages 43-71, February.
- Pat Wilson & Ralf Zurbruegg, 2003. "International Diversification of Real Estate Assets - Is it Worth It? Evidence from the Literature," Working Paper Series 126, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
- Lobato, Ignacio & Nankervis, John C & Savin, N E, 2001. "Testing for Autocorrelation Using a Modified Box-Pierce Q Test," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 187-205, February.
- Martin Hellwig, 2008.
"Systemic Risk in the Financial Sector: An Analysis of the Subprime-Mortgage Financial Crisis,"
Working Paper Series of the Max Planck Institute for Research on Collective Goods
2008_43, Max Planck Institute for Research on Collective Goods.
- Martin Hellwig, 2009. "Systemic Risk in the Financial Sector: An Analysis of the Subprime-Mortgage Financial Crisis," De Economist, Springer, vol. 157(2), pages 129-207, June.
- Chunhachinda, Pornchai & Dandapani, Krishnan & Hamid, Shahid & Prakash, Arun J., 1997. "Portfolio selection and skewness: Evidence from international stock markets," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 143-167, February.
- Andrew W. Lo & A. Craig MacKinlay, 1988.
"The Size and Power of the Variance Ratio Test in Finite Samples: A Monte Carlo Investigation,"
NBER Technical Working Papers
0066, National Bureau of Economic Research, Inc.
- Lo, Andrew W. & MacKinlay, A. Craig, 1989. "The size and power of the variance ratio test in finite samples : A Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
- Andrew W. Lo & Craig A. MacKinlay, . "The Size and Power of the Variance Ratio Test in Finite Samples: A Monte Carlo Investigation," Rodney L. White Center for Financial Research Working Papers 28-87, Wharton School Rodney L. White Center for Financial Research.
- Kim, Jae H., 2006. "Wild bootstrapping variance ratio tests," Economics Letters, Elsevier, vol. 92(1), pages 38-43, July.
- Davidson, James & Monticini, Andrea & Peel, David, 2007. "Implementing the wild bootstrap using a two-point distribution," Economics Letters, Elsevier, vol. 96(3), pages 309-315, September.
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