Predicting Chinese Banking Policy incidence using a VAR model
Author:
Affiliation:
1. University of Tennessee at Knoxville
2. Central University of Finance and Economics
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10971475.2024.2319412
Reference34 articles.
1. The Effects of Local Banking Market Structure on the Bank-Lending Channel of Monetary Policy
2. Predicting vulnerabilities in the EU banking sector: The role of global and domestic factors;Behn M.;International Journal of Central Banking,,2017
3. Predicting distress in European banks
4. CBIRC. (2021). About the CBIRC. CBIRC website accessed May 17. https://www.cbirc.gov.cn/en/view/pages/ItemList.html?itemPId=974&itemId=975&itemUrl=About/Mandates.html&itemTitle=Mandates&itemPTitle=About%20the%20CBIRC
5. Chan J. T. & Zhong W. (2019). Reading china: Predicting policy change with machine learning. Working Paper. https://policychangeindex.org/pdf/Reading_China.pdf.
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