JOURNAL ARTICLE
Foreign exchange market asymmetries in Pacific small island developing states: Evidence from Fiji.
Published In: International Journal of Finance & Economics, 2023, v. 28, n. 4. P. 4353 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Jain, Devendra Kumar; Singh, Rup; Patel, Arvind; Chand, Ronal 3 of 3
Abstract
After abandoning Bretton Wood, the foreign exchange market has been dominated by three types of economies: export‐oriented economies (China and other Asian countries), commodity economies (Australia, New Zealand, Canada, and oil exporting nations) and reserve‐currency economies (US, EU, UK, and Swiss). As a result, the asymmetric development of the foreign exchange market has reduced the monetary and fiscal space for PSIDS, which face structural challenges such as a low population base, import dependence, aid dependency, climate risk, and political uncertainty. The 'Exchange Market Pressure Index' (EMPI) for Fiji is developed in this article to quantify the pressure on the exchange rate and monetary authorities' responses to micromanaging balance sheet impacts. The calculated EMPI accurately reflects four instances of financial distress in Fiji, including significant exchange market pressure in response to growing trade deficits and external debt, the global financial crisis's contagion effect, and political uncertainty. Our EMP Index's robustness is attributed in part to the employment of a dynamic time series estimate method, a time‐varying weighing scheme, and a high‐frequency monthly dataset. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Finance & Economics. 2023/10, Vol. 28, Issue 4, p4353
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2023
- ISSN:1076-9307
- DOI:10.1002/ijfe.2654
- Accession Number:172804346
- Copyright Statement:Copyright of International Journal of Finance & Economics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.