How much should I hold? : reserve adequacy in emerging markets and small islands

Nkunde Mwase

This paper investigates the drivers of reserves in emerging markets (EMs) and small island (SIs) and develops an operational metric for estimating reserves in SIs taking into account their unique characteristics. It uses quantile regression techniques to allow the estimated factors driving reserves holdings to vary along the reserves' holding distribution and tests for equality among the slope coefficients of the various quantile regressions and the overall models. F-tests comparing the inter-quantile differences could not reject the null that the models for the different quantiles of SIs rese

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Year of publication:	2012
Authors:	Mwase, Nkunde
Publisher:	Washington, DC : Internat. Monetary Fund
Subject:	Währungsreserven \| Foreign exchange reserves \| Schwellenländer \| Emerging economies \| Insel \| Island

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Extent:	Online-Ressource (PDF-Datei: 43 S., 726 KB) graph. Darst.
Series:	IMF working papers. - Washington, DC : IMF, ZDB-ID 2108494-4. - Vol. 12/205 IMF Working Papers
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature
Language:	English
Notes:	Includes bibliographical references Systemvoraussetzungen: Acrobat Reader Cover; Abstract; Contents; I. Introduction; II. What Determines Reserve Holdings?; A. Data and Modeling Strategy; B. Empirical Results from Standard Panel OLS and Fixed Effects; C. Empirical Results from Quantile Regressions; III. A New Metric For Small Islands; A. Developing A Metric; B. Empirical Analysis to Determine Thresholds For the Metric; C. Estimation Results; IV. Conclusion; References; APPENDIX TABLES; 1. Country List; 2. Description of Variables; 3. SIs and EMs: Reserve Demand Regressions; 4. Full Sample: OLS and Quantile Regression Results 5. SIs: OLS and Quantile Regression Results6. EM: OLS and Quantile Regression Results; 7. Full Sample: Inter-quantile Regression Results; 8. SIs: Inter-quantile Regression Results; 9. EM: Inter-quantile Regression Results; 10. SIs: Episodes of Exchange Market Pressure; 11. Comparison on Various Reserve Adequacy Metrics: Logit Regression; FIGURES; 1. EMs and SIs: Traditional Metrics, 2000-2010; 2. Sample Mean Average Actual and Predicted Reserves, 2007-2010; 3. Full Sample: Comparison of OLS and Quantile Regression Coefficient Estimate 4. SIs: Comparison of OLS and Quantile Regression Coefficient Estimates5. EM: Comparison of OLS and Quantile Regression Coefficient Estimates; 6. EM and SIs: Concessional and Multilateral Debt, 1999-2009; 7. SIs: Exchange Market Pressure Crisis Episodes; 8. SIs: Exchange Market Pressure Crisis Episodes Triggers; 9. The Dominican Republic and Grenada: Balance of Payments Flows In Crisis Events; 10. Distribution of Export, Broad Money, and Short-Term Debt; 11. New Metric vs. Maximum of Traditional Metrics; 12. EMP Event Probability; 13. Reserves Against Risk-Weighted Metric Electronic reproduction; Available via World Wide Web
ISBN:	978-1-4755-0555-9 ; 978-1-4755-8188-1 ; 978-1-4755-0555-9
Source:	ECONIS - Online Catalogue of the ZBW

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