Jump point detection for real estate investment success

Physica A: Statistical Mechanics and its Applications

Volumn 389, Issue 5, 2010, Pages 1055-1064

  Hui, Eddie C M ^a   Yu, Carisa K W ^a   Ip, Wai Cheung ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Change points; Jump point detection; Real estate investment; Wavelet analysis

Indexed keywords

COMMERCE; FINANCIAL MARKETS; HOUSING; TIME SERIES ANALYSIS; WAVELET ANALYSIS;

CHANGE-POINTS; DIFFERENT CLASS; GLOBALIZATION EFFECT; JUMP POINT DETECTIONS; NEW APPROACHES; POLITICAL ISSUES; REAL ESTATE INVESTMENT; REAL ESTATE MARKET;

INVESTMENTS;

EID: 71649091188     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2009.11.022     Document Type: Article

References (18)

1. Jaffe A.J., and Sirmans C.F. Fundamentals of Real Estate Investment (1995), Prentice Hall, Englewood Cliffs, NJ
2. Ip W.C., Wong H., Xie Z., and Luan Y. On comparison of jump point detection for an exchange rate series. Science in China Series A. Mathematics 47 1 (2004) 52-64
3. Lavielle M., and Teyssière G. Detection of multiple change-points in multivariate time series. Lithuanian Mathematical Journal 46 3 (2006) 287-306
4. B. Strikholm, Determining the number of breaks in a piecewise linear regression model, SSE/EFI Working Paper Series in Economics and Finance, No. 648, 2006
5. E. Hillebrand, G. Schnabl, A structural break in the effects of Japanese foreign exchange intervention on Yen/Dollar exchange rate volatility, Working Paper Series, No 650, European Central Bank, 2006
6. Ito T. Is foreign exchange intervention effective? The Japanese experience in the 1990s. In: Mizen P. (Ed). Monetary History, Exchange Rates and Financial Markets. Essay in Honour of Charles Goodhart, 2 (2003) pp. 126-153
7. X. Zheng, Y. Zhuang, S. Ma, The long-run relationship between house and rental price - Empirical Study of Hong Kong, 2007
8. Engle R.F., and Smith A.D. Stochastic permanent breaks. The Review of Economics and Statistics 81 4 (1999) 553-574
9. Lombard F. Detecting change points by Fourier analysis. Technometrics 30 (1988) 305-310
10. Muller H.G. Change-points in nonparametric regression analysis. Annals of Statistics 20 2 (1992) 737-761
11. Eubank R.L., and Speckman P.L. Nonparametric estimation of functions with jump discontinuities. In: Carlstein E., Mueller H.G., and Siegmund D. (Eds). Change Point Problems, Proceedings of the Mount Holyoke Conference (1995), Institute of Mathematical Statistics, Hayward, Califonia
12. Wang Y. Jump and sharp Cusp detection by wavelets. Biometrika 82 2 (1995) 385-397
13. Yin Y.Q. Detection of the number, locations and magnitudes of jumps. Communications in Statistics 4 3 (1988) 445-455
14. Wu J.S., and Chu C.K. Kernel-type estimators of jump points and values of a regression function. Annals of Statistics 21 3 (1993) 1545-1566
15. P. Perron, Dealing with structural breaks, Working Papers Series, Department of Economics, Boston University, 2005
16. Vidakovic B. Statistical Modeling by Wavelets (1999), J. Wiley, New York
17. Misiti M., Misiti Y., Oppenheim G., and Poggi J.M. Wavelet Toolbox User's Guide (1996), The MathWorks, Inc.
18. Johnstone I.M., and Solverman B.W. Wavelet threshold estimator for data with correlated noise. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 59 2 (1997) 319-351