Abstract
Preventing risks, especially real estate financial risks, is a very important issue that cannot be ignored. We should take timely measures to identify early warn risks and prevent real estate financial risks as soon as possible. Based on BP neural network, this paper selects 15 indicators related to risks from macroeconomic level, the real estate financial level and the real estate industry level, and constructs an early warning model of real estate financial risk in China. Combining with ARMA (1,1) model, this paper forecasts the value of relevant risk factors from 2019 to 2021, and carries out the early warning of China’s real estate financial risks.
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References
Wei, P., Li, J., Shi, D.Q.: Study on the impact of financial innovation on industrial economic growth. Ind. Technol. Econ. (5), 3–11(2015)
Zhao, X.C., Zhuge, X.S.: Financial innovation promotes economic growth - based on empirical analysis of China. J. Jiangsu Univ. (Soc. Sci. Ed.) 10(2), 81–85 (2008)
Li, M.Y.: Construction of China’s financial risk early warning system based on K-means clustering algorithm and BP neural network. J. Cent. Univ. Finance Econ. (2012)
Chen, X.L., Cheng, Y.H., Zhu, Z.L., et al.: Insulating fault diagnosis of XLPE power cables using multi-parameter based on artificial neural networks. In: Proceedings of the Second International Conference on Advances in Neural Networks - Volume Part III. Springer (2005)
Jiang, S.: The 19th International Conference on Industrial Engineering and Engineering Management. In: Proceedings of International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) (2013)
Liang, Y.J., et al.: Research on soil moisture inversion method based on GA-BP neural network model. Int. J. Remote Sens., 1–17 (2018)
Li, H.Q., Tan, Q.: Research on fault diagnosis of fork lift truck hydraulic system based on artificial neural network. In: International Conference on Measuring Technology & Mechatronics Automation (2009)
Wang, Y.H.: Listed company financial risk prediction based on BP neural work. In: International Conference on Measuring Technology & Mechatronics Automation (2015)
Li, M.G.: Research on Industrial Security Theory. Springer, Heidelberg (2013)
Jing, X.: Construction and empirical test of china’s financial risk early warning model. Econ. Issues (4), 48–50 (2013)
Li, Z.K., Zhao, X.H.: BP artificial neural network based wave front correction for sensor-less free space optics communication. Opt. Commun. 385, 219–228 (2017)
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Xie, J., Zeng, Y. (2020). Early Warning System for Financial Risks in the Real Estate Market of China on the Basis of BP Neural Network. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_53
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DOI: https://doi.org/10.1007/978-3-030-25128-4_53
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