Credit spread drivers and cross-country connectedness: a study of emerging economies in Asia
Purpose While the existing literature lacks a holistic approach to determining credit spreads and is limited to mostly developed countries, this study investigates credit spread determinants and their cross-country connectedness in the context of four emerging economies in Asia by incorporating bonds, market risk, macroeconomic and global factors. Design/methodology/approach This study utilizes principal component analysis for dimensionality reduction and variable representation. Furthermore, we employ the dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity model to capture the cross-country credit spread connectedness between the variables. Findings The findings indicate that market volatilities are the most significant drivers of credit spreads, while global factors play a moderating role. Furthermore, the results provide compelling evidence of cross-country credit spread connectedness, with China as the primary transmitter and Malaysia as the primary receiver among the selected emerging economies. Originality/value This study addresses the limitations of previous research by extending the analysis beyond the commonly studied developed economies and focusing on emerging economies in Asia. It also employs a comprehensive approach to determine credit spread and explores cross-country credit spread connectedness in developing economies, thereby shedding light on financial risks and vulnerabilities within interconnected global financial systems.
Authors
- Krishna Prasanna (ORCID: https://orcid.org/0000-0002-8678-9617)
- Mohit Kumar (ORCID: https://orcid.org/0000-0002-4578-5134)
Institutions
- Indian Institute of Technology Madras (IN)
Publication Details
- Journal
- Journal of Asian Business and Economic Studies
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1108/jabes-10-2023-0392
- Citations
- 3
- Primary Topic
- Banking stability, regulation, efficiency
- Type
- article
- Field-Weighted Citation Impact
- 1.62