JOURNAL ARTICLE
Effects of monetary policy credibility and the open economy trilemma on monetary policy efficiency.
Published In: International Journal of Finance & Economics, 2024, v. 29, n. 2. P. 1236 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Montes, Gabriel Caldas; da Silva Rodrigues Júnior, Irineu; Bastos, Júlio Cesar Albuquerque; Batista, Linican Monteiro 3 of 3
Abstract
This study investigates the effects of monetary policy credibility and the open economy trilemma on monetary policy efficiency in developing countries. Based on a sample of 28 developing countries, the findings reveal that monetary policy credibility increases monetary policy efficiency. The results also show that central banks in developing countries have more efficient monetary policies when they choose a policy arrangement contrary to the 'middle‐ground convergence'; but, to the extent they accumulate international reserves, it allows them to move to a middle‐ground strategy. Regarding the trilemma, the estimates suggest when monetary policy is independent, monetary policy is more efficient. Furthermore, when financial openness and exchange rate stability are deepened, central banks become less efficient in conducting monetary policy. However, when countries hold higher levels of international reserves, the positive effect of monetary autonomy on monetary policy efficiency decreases and the negative effect of financial liberalisation on monetary policy efficiency decreases. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Finance & Economics. 2024/04, Vol. 29, Issue 2, p1236
- Document Type:Article
- Subject Area:Economics
- Publication Date:2024
- ISSN:1076-9307
- DOI:10.1002/ijfe.2737
- Accession Number:176473396
- 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.)
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