Jump point detection for real estate investment success
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DOI: 10.1016/j.physa.2009.11.022
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Cited by:
- Yujiao Yang & Qiongxia Song, 2014. "Jump detection in time series nonparametric regression models: a polynomial spline approach," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 66(2), pages 325-344, April.
- Liu, Chao & Zheng, Ying & Zhao, Qi & Wang, Chao, 2020. "Financial stability and real estate price fluctuation in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
- Choy, Siu-Kai & Yu, Carisa K.W. & Lee, Tanki C.L. & Lam, Benson S.Y. & Wong, Catherine Y.W., 2021. "A two-stage variational jump point detection algorithm for real estate analysis," Land Use Policy, Elsevier, vol. 111(C).
- Muhammad Umar Bello & Aliyu Ahmad Aliyu & David Martin @ Daud Juanil & Rozilah Kasim, 2017. "Real Estate Investment as a Panacea for Economic Instability in Nigeria: Evidence from Northeastern States of Nigeria," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 3(8(25)), pages 1001-1006, August.
- Hui, Eddie Chi-Man & Wang, Ziyou, 2015. "Can we predict the property cycle? A study of securitized property market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 72-87.
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