Rizwan, Muhammad Suhail, Ahmad, Ghufran ![]() ![]() |
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Abstract
Central Bank Digital Currency (CBDC) is an emerging Financial Technology (FinTech) area. Several countries are involved in CBDC development at different stages and a few are already in the launching stage. We use the autoregressive distributed lag approach to explore the association between CBDC-related news and systemic risk in the short and long run by employing dynamic panel heterogeneity analysis. The results show that CBDC-related news has a significant negative association with systemic risk in the long run, indicating a positive reception by the global financial sector. Extended analysis shows that the long-run negative association is consistent across different income levels and geographical regions. However, countries in the advanced stages of CBDC development show a significant positive association between CBDC-related news and systemic risk warranting the utmost care in implementing CBDC initiatives.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Publisher: | Elsevier |
ISSN: | 1042-4431 |
Date of First Compliant Deposit: | 9 January 2025 |
Date of Acceptance: | 14 December 2024 |
Last Modified: | 09 Jan 2025 13:00 |
URI: | https://orca.cardiff.ac.uk/id/eprint/174926 |
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