新兴市场每日货币干预:将储备积累纳入反应函数

Michael Frömmel, Murat Midiliç
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引用次数: 3

摘要

摘要了解中央银行对外汇市场的干预政策对从业者和研究者都很重要。现有的中央银行干预模型只关注水平或波动的汇率目标。然而,新兴经济体的央行利用国际储备作为防范资本突然外流的保险,并利用干预措施对其进行管理。因此,在反应函数中省略储备分量可能会导致偏差和错误的结论。因此,我们通过纳入储备成分来扩展反应函数,并通过将其应用于土耳其的情况来说明其好处。我们发现,土耳其中央银行的干预政策确实纳入了干预措施来管理其储备,因此我们的扩展模型更好地描述了这一点。此外,它还能更准确地描述央行政策的变化。我们的研究结果强烈建议在新兴国家的干预函数中加入储备变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Daily Currency Interventions in Emerging Markets: Incorporating Reserve Accumulation to the Reaction Function
Abstract Understanding the intervention policy of central banks on currency markets is important for both practitioners and researchers. Existing models for central bank interventions exclusively focus on exchange rate targeting in level or volatility. However, central banks in emerging economies use international reserves as an insurance against sudden capital outflows and use interventions to manage them. Omitting the reserve component in the reaction function may therefore lead to a bias and wrong conclusions. We therefore extend the reaction function by incorporating a reserve component and illustrate its benefit by applying it to the case of Turkey. We find that the intervention policy of the Turkish Central Bank indeed incorporated interventions to manage their reserves and is therefore better described by our extended model. Furthermore it provides a more accurate description of changes in the central bank’s policy. Our results strongly suggest to incorporate reserve variables in intervention functions for emerging countries.
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