Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)

Analysis of the Correlation between Bank of China Credit and Real Estate Prices

Authors
Jingyan Lin
1The University of Sydney
Corresponding Author
Jingyan Lin
Available Online 29 April 2022.
DOI
10.2991/aebmr.k.220405.063How to use a DOI?
Keywords
Chinese real estate prices; Bank credits; VAR model; Cointegration test; Granger test
Abstract

This paper mainly analyses the credit factors that affect China’s real estate price. Firstly, it introduces the significance of the research. Secondly, four indicators are selected from the total amount of domestic real estate loans, real estate company’s loans, the proportion of real estate investment in the total domestic real estate development investment, the central bank lending rate and other credit factors. Finally, it adopted stationary analysis to examine the four credit factors, and use it to establish the VAR model, conduct Granger causality test and impulse response research.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 April 2022
ISBN
978-94-6239-572-5
ISSN
2352-5428
DOI
10.2991/aebmr.k.220405.063How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Jingyan Lin
PY  - 2022
DA  - 2022/04/29
TI  - Analysis of the Correlation between Bank of China Credit and Real Estate Prices
BT  - Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)
PB  - Atlantis Press
SP  - 385
EP  - 392
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220405.063
DO  - 10.2991/aebmr.k.220405.063
ID  - Lin2022
ER  -