Assessing Interdependence Among Countries' Fundamentals and Its Implications for Exchange Rate Misalignment Estimates: An Empirical Exercise Based on GVAR

Emerson Fernandes Marçal, B. Zimmermann, Diogo de Prince, Giovanni Tondin Merlin
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引用次数: 3

Abstract

Exchange rates are important macroeconomic prices and changes in these rates a ect economic activity, prices, interest rates, and trade ows. Methodologies have been developed in empirical exchange rate misalignment studies to evaluate whether a real e ective exchange is overvalued or undervalued. There is a vast body of literature on the determinants of long-term real exchange rates and on empirical strategies to implement the equilibrium norms obtained from theoretical models. This study seeks to contribute to this literature by showing that the global vector autoregressions model (GVAR) proposed by Pesaran and co-authors can add relevant information to the literature on measuring exchange rate misalignment. Our empirical exercise suggests that the estimate exchange rate misalignment obtained from GVAR can be quite di erent to that using the traditional cointegrated time series techniques, which treat countries as detached entities. The di erences between the two approaches are more pronounced for small and developing countries. Our results also suggest a strong interdependence among eurozone countries, as expected
评估各国基本面之间的相互依存关系及其对汇率失调估计的影响:基于GVAR的实证研究
汇率是重要的宏观经济价格,汇率的变化会影响经济活动、价格、利率和贸易。在实证汇率失调研究中,已经开发出方法来评估实际有效汇率是否被高估或低估。关于长期实际汇率的决定因素和实施从理论模型中获得的均衡规范的经验策略,有大量的文献。本研究旨在通过表明Pesaran及其合作者提出的全球向量自回归模型(GVAR)可以为测量汇率失调的文献增加相关信息,从而为这一文献做出贡献。我们的实证研究表明,从GVAR获得的估计汇率偏差可能与使用传统协整时间序列技术(将国家视为独立实体)的估计汇率偏差完全不同。对于小国和发展中国家来说,这两种方法之间的差异更为明显。我们的研究结果还表明,正如预期的那样,欧元区国家之间存在很强的相互依存关系
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