726
Views
5
CrossRef citations to date
0
Altmetric
Research Article

Can economic policy uncertainty predict financial stress? A MIDAS approach

, &
Pages 22-29 | Published online: 30 Nov 2020
 

ABSTRACT

In this article, by using the mixed-frequency data sampling (MIDAS) model, we investigate whether economic policy uncertainty (EPU) can predict financial stress. Our estimation results show that EPU has a significant positive effect on the future financial stress, indicating that EPU is a determinant of financial stress. Moreover, the out-of-sample prediction results show that the MIDAS model performs better than the traditional time-series OLS model.

JEL CLASSIFICATION:

Acknowledgments

This research was supported by the National Natural Science Foundation of China (71861008, 71532009, 71790594), the Foundation and Applied Foundation Research Program (Natural Science) of Hainan Province - High-level Talent Project (2019RC151), the Natural Science Foundation of Hainan Province (718QN221).

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 Due to space limitations, we did not report all these results.

Additional information

Funding

This research was supported by the National Natural Science Foundation of China [71861008, 71532009, 71790594], the Foundation and Applied Foundation Research Program (Natural Science) of Hainan Province - High-level Talent Project [2019RC151], the Natural Science Foundation of Hainan Province [718QN221].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.