Evaluation of International Monetary Policy Coordination: Evidence from Machine Learning Algorithms

Author:

Can UfukORCID,Saltik OmurORCID,Can Zeynep GizemORCID,Degirmen SuleymanORCID

Publisher

Springer Science and Business Media LLC

Reference58 articles.

1. Banerjee, R., Devereux, M. B., & Lombardo, G. (2016). Self-oriented monetary policy, global financial markets and excess volatility of international capital flows. Journal of International Money and Finance, 68, 275–297.

2. Belke, A., Koesters, W., Leschke, M., & Polleit, T. (2002). International coordination of monetary policies - challenges, concepts and consequences. ECB-Observer - Analyses of the Monetary Policy of the European System of Central Banks, 4, 1–71.

3. Benigno, P. (2002). A simple approach to international monetary policy coordination. Journal of International Economics, 57(1), 177–196.

4. Bentéjac, C., Csörgő, A., & Martínez-Muñoz, G. (2021). A comparative analysis of gradient boosting algorithms. Artificial Intelligence Review, 54, 1937–1967.

5. Bergsten, C. F., & Park, Y. C. (2002). Toward creating a regional monetary arrangement in East Asia, 50. ADBI Research Paper Series.

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