Open Access
Issue
E3S Web Conf.
Volume 522, 2024
2023 9th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2023)
Article Number 01059
Number of page(s) 13
DOI https://doi.org/10.1051/e3sconf/202452201059
Published online 07 May 2024
  1. He, Q., Xia, P., Hu, C., and Li, B. 2022. Public Information, Actual Intervention and Inflation Expectations. Transformations in Business & Economics, 21(3):644–666. [Google Scholar]
  2. Zhang, X., Yang, X., and He, Q. 2022. Multi-scale Systemic Risk and Spillover Networks of Commodity Markets in the Bullish and Bearish Regimes. The North American Journal of Economics and Finance, 62(C): 101766, doi: https://doi.org/10.1016/j.najef.2022.101766. [CrossRef] [Google Scholar]
  3. He, Q., Zhang, X., Xia, P., Zhao, C., and Li, S. 2023. A Comparison Research on Dynamic Characteristics of Chinese and American Energy Prices. Journal of Global Information Management, 31(1), 1–16. [Google Scholar]
  4. Blinder, A.S., M. Ehrmann, M. Fratzscher, J. de Haan, and D.-J. Jansen. 2008. Central bank communication and monetary policy: a survey of theory and evidence. Journal of Economic Literature 46(4):910–945. DOI: 10.1257/jel.46.4.910. [CrossRef] [Google Scholar]
  5. Montes, G. C., and A. Scarpari. 2015. Does central bank communication affect bank risk-taking? Applied Economics Letters 22(9):751–758. DOI: 10.1080/13504851.2014.975325. [CrossRef] [Google Scholar]
  6. Bauer, M.D. 2015. Inflation expectations and news. International Journal of Central Banking 11(2):1–40. http://www.ijcb.org/journal/ijcb15q2a1.htm. [Google Scholar]
  7. Georgiadis, G., and J. Gräb. 2016. Global financial market impact of the announcement of the ECB's asset purchase programme. Journal of Financial Stability 26:257–265. DOI: 10.1016/j.jfs.2016.07.009. [CrossRef] [Google Scholar]
  8. Gertler, P., and R. Horvath. 2018. Central bank communication and financial markets: New high-frequency evidence. Journal of Financial Stability 36:336–345. DOI: 10.1016/j.jfs.2018.03.002. [CrossRef] [Google Scholar]
  9. Ranaldo, A., and E. Rossi. 2010. The reaction of asset markets to Swiss National Bank communication. Journal of International Money and Finance 29(3):486–503. DOI: 10.1016/j.jimonfin.2009.07.004. [CrossRef] [Google Scholar]
  10. Kim, S. J., L. Salem, and E. Wu. 2015. The role of macroeconomic news in sovereign CDS markets: domestic and spillover news effects from the U.S., the Eurozone and China. Journal of Financial Stability 18:208–224. DOI: 10.1016/j.jfs.2015.04.008. [CrossRef] [Google Scholar]
  11. Xing, H. W., H. Y. Wang. 2021. The premium of economic policy uncertainty beta: An explanation based on the certainty effect. Journal of Shanghai University of Finance and Economics 23(03):64–78. DOI: 10.16538/j.cnki.jsufe.2021.03.005. [Google Scholar]
  12. Zhang, X., Ding, Z., Hang, J., and He, Q. 2022. How Do Stock Price Indices Absorb the COVID-19 Pandemic Shocks?. The North American Journal of Economics and Finance, 60, 101672. [CrossRef] [Google Scholar]
  13. Dong, X. H., X. Q. Liu. 2020. Does economic policy uncertainty affect stock liquidity? --Based on the evidence from Chinese listed companies. Journal of Business Economics (8):57–69. DOI: 10.14134/j.cnki.cn33-1336/f.2020.08.005. [Google Scholar]
  14. Kim, J. S., Da-Hea Kim, and S.W. Seo. 2017. Individual mean-variance relation and stock-level investor sentiment. Journal of Business Economics and Management 18:1, 20–34, DOI: 10.3846/16111699.2016.1252794. [CrossRef] [Google Scholar]
  15. Zhou, L. Y., and J. L. Huang. 2019. Investor trading behaviour and stock price crash risk. International Journal of Finance & Economics 24(1):227–240. DOI: 10.1002/ijfe.1659. [CrossRef] [Google Scholar]
  16. Huang, H., J. H. Lu, and J. Huang. 2021. Impact of economic policy uncertainty on corporate investment--Based on the mediating effect of investor sentiment. China Soft Science (4):120–128. [Google Scholar]
  17. Chaney, T., D. Sraer, and D. Thesmar. 2012. The collateral channel: How real estate shocks affect corporate investment. American Economic Review 102(6):2381–2409. DOI: 10.1257/aer.102.6.2381. [CrossRef] [Google Scholar]
  18. Balcilar, M., G. Ike, and R. Gupta. 2022. The role of economic policy uncertainty in predicting output growth in emerging markets: A mixed-frequency Granger causality approach. Emerging Markets Finance and Trade 58(4):1008–1026. DOI: 10.1080/1540496X.2020.1860747. [CrossRef] [Google Scholar]
  19. Aastveit, K. A., G. J. Natvik, and S. Sola. 2017. Economic uncertainty and the influence of monetary policy. Journal of International Money and Finance 76(9): 50–67. DOI: 10.1016/j.jimonfin.2017.05.003. [CrossRef] [Google Scholar]
  20. Zhang, C. S., Y. C. Sun, and R. Ruan. 2021. Macroeconomic perception, monetary policy and firms' investment and financing behaviors. Economic Research Journal 56(10):39–55. [Google Scholar]
  21. Lin, J. H., and W. Q. Zhao. 2015. Measurement and spectral analysis of China’s central bank communication. Statistical Research 32(1):52–58. [Google Scholar]
  22. Heinemann, F., and K. Ullrich. 2007. Does it pay to watch central bankers’ lips? The information content of ECB wording. Swiss Journal of Economics and Statistics 143(2):155–185. doi:org/10.1007/BF03399237. [CrossRef] [Google Scholar]
  23. Gao, G., and Q. Z. He. 2021 Central bank communication, macroeconomic environment and enterprise investment-- A comparative analysis of monetary policy effect through interest rate channel, credit channel and expectation channel. Finance Forum 26(3):21–29+59. DOI: 10.16529/j.cnki.11-4613/f.2021.03.004. [Google Scholar]
  24. Love, I., and L. Zicchino. 2006. Financial development and dynamic investment behavior: Evidence from panel VAR. The Quarterly Review of Economics and Finance 46(2):190–210. DOI: 10.1016/j.qref.2005.11.007. [CrossRef] [Google Scholar]
  25. Baker, S. R., N. Bloom, and S.J. Davis. 2016. Measuring economic policy uncertainty. Quarterly Journal of Economics 131(4): 1593–1636. doi:org/10.1093/qje/qjw024. [CrossRef] [Google Scholar]

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