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Demand for international reserves in developing nations: A quantile regression approach

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  • Sula, Ozan

Abstract

I estimate the determinants of the demand for international reserves using quantile regressions. Employing a dataset of 108 developing nations over the period of 1980-2007, I find considerable differences at different points of the conditional distribution of reserves. The estimates of elasticities that were found to be insignificant in ordinary least squares regressions become statistically significant at various quantiles of the distribution. Furthermore, majority of the explanatory variables have lower coefficients for the nations that are located on the right tail of the conditional reserve distribution. This finding shows that the level of reserves is as important as the other determinants of the demand for reserves.

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  • Sula, Ozan, 2011. "Demand for international reserves in developing nations: A quantile regression approach," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 764-777, September.
    • Handle: RePEc:eee:jimfin:v:30:y:2011:i:5:p:764-777
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    3. Atish R. Ghosh & Jonathan D. Ostry & Charalambos G. Tsangarides, 2017. "Shifting Motives: Explaining the Buildup in Official Reserves in Emerging Markets Since the 1980s," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 65(2), pages 308-364, June.
    4. Gupta, Rangan & Hammoudeh, Shawkat & Kim, Won Joong & Simo-Kengne, Beatrice D., 2014. "Forecasting China's foreign exchange reserves using dynamic model averaging: The roles of macroeconomic fundamentals, financial stress and economic uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 170-189.
    5. Cristian Camilo Porras-Alarcón, 2020. "Una aproximación a los determinantes de acumulación de reservas internacionales en economías emergentes," Borradores de Economia 1126, Banco de la Republica de Colombia.
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