Skip to main content
SpringerLink
Log in

The Dynamic Relationship Between Bank Credit and Real Estate Price in China

  • Conference paper
  • First Online:
Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 873))

Included in the following conference series:

  • 751 Accesses

Abstract

Real estate prices is an important indicator to measure the quality of macroeconomic, playing a vital role in national economy. The real estate market fluctuations, affects the whole macroeconomic operation, in turn, macroeconomic fluctuations, also will inevitably have a profound impact on the real estate market. The real estate market depends on financial support and, at the same time, bank credit is the main means of financial support. Bank credit not only play a crucial role to the prosperity of the real estate market, but also is a great force to promote the rapid development of the real estate market.Through theoretical analysis and empirical research, the statistical model of Chinese bank credit and the real estate price mechanism and effect is established in this paper. We select the relevant index to the studies of bank credit and real estate prices as a variable, collecting the quarterly data from 2006 to 2015, using the ADF test, Johansen co-integration test and granger test to study the dynamic relationship between price volatility and bank credit. Furthermore, we contrive to put forward relevant suggestions, making active contribution to the better advancement of real estate finance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Akin, O.: Prices and trading volume in the housing market: a model with down-payment effects. In: SERIES, vol. 5, no. 2–3, pp. 223–243 (2014)

    Google Scholar 

  2. Fitzpatrick, T., Mc Quin, K.: House prices and mortgage credit: empirical evidence from Ireland, vol. 75, no 1. The Manchester School (2015)

    Google Scholar 

  3. Goetzmann, W.: The subprime crisis and house price appreciation. In: Yale ICF Working Paper No. 1340577, February 2011

    Google Scholar 

  4. Borio, C., Lowe, P.: Assessing the risk of banking crises. BIS Q. Rev. 3, 43–54 (2012)

    Google Scholar 

  5. Gerlach, S., Peng, W.: Bank lending and property prices in Hong Kong. J. Bank. Financ. 29(2), 461–481 (2015). Author, F.: Article title. Journal 2(5), 99–110 (2016)

    Article  Google Scholar 

  6. Xiao, B.: Credit expansion and real estate prices in China. J. Shanxi Univ. Financ. Econ. 1, 27–31 (2014)

    Google Scholar 

  7. Zhu, H.: The impact of commercial bank credit on real estate prices. Financ. Econ. 3, 70–71 (2011)

    Google Scholar 

  8. Wen, F.: Real estate price fluctuations and financial fragility – based on empirical research in China. China Manag. Sci. 20, 1–10 (2012)

    Google Scholar 

  9. Li, J., Shi, C.: The impact of bank credit on real estate price fluctuations. J. Shanghai Univ. Financ. Econ. 4, 26–32 (2015)

    Google Scholar 

  10. Wu, K., Pi, S., Lu, G.: General equilibrium analysis of Chinese real estate market and financial market. Quant. Econ. Technol. Econ. Res. 10, 24–32 (2014)

    Google Scholar 

Download references

Acknowledgement

This study is supported by the science training program of Information School of the Beijing Wuzi University in 2016.

Author information

Authors and Affiliations

  1. Beijing Wuzi University, Beijing, China

    Xiaofan Wang & Li Zhou

Authors
  1. Xiaofan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Li Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Xiaofan Wang or Li Zhou .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China

    Wei Li

  3. Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta, Canada

    Zhangxing Chen

  4. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, X., Zhou, L. (2018). The Dynamic Relationship Between Bank Credit and Real Estate Price in China. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-13-1648-7_28

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1648-7_28

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1647-0

  • Online ISBN: 978-981-13-1648-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation