汇率波动对宏观经济和金融变量的影响:来自PVAR模型的经验证据

Oguzhan Ozcelebi
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引用次数: 3

摘要

本研究采用面板向量自回归(PVAR)模型来确定汇率波动对10个经合组织国家工业生产增长率、消费者物价通胀、短期利率和股票收益的影响。方差分解(vdc)发现,汇率波动可能是即期利率变化的次要因素,这意味着应通过包含其他宏观经济变量来分析未覆盖利率平价(UIP)条件。脉冲响应函数(irf)表明,由于投资者必须将资金从货币市场转移到货币市场,因此汇率波动可能对货币市场的流动性状况和实体经济活动的增加产生积极影响。汇率波动对宏观经济变量的影响可能相对较小,因此强调汇率波动对宏观经济变量的影响应同时考虑常规货币政策和非常规货币政策。虽然脉冲响应函数(irf)没有检测到汇率波动对通货膨胀的显著影响,但vdc得到了汇率传递(ERPT)的支持结果。我建议未来制定的货币政策应该明确汇率可能影响通货膨胀的其他渠道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impacts of Exchange Rate Volatility on Macroeconomic and Financial Variables: Empirical Evidence from PVAR Modeling
In this study, Panel Vector Autoregression (PVAR) models are used to determine the impacts of exchange rate volatility on industrial production growth rate, consumer price inflation, short-term interest rates and stock returns for 10 OECD countries. The variance decomposi- tions (VDCs) found that exchange rate volatility can be a secondary factor for the variations in immediate interest rates, implying that Uncovered Interest Rate Parity (UIP) condition should be analyzed by the inclusion of other macroeconomic variables. Impulse response functions (IRFs) expose that volatility in exchange rates can have a positive impact on the liquidity conditions in money market and an increase in real economic activity because investors have to move their money away from currency markets to money markets. The relatively lower impact of exchange rate volatility may arise from the zero bound problem, thus it is emphasized that the examination of impacts on exchange rate volatility on macro- economics variables should be made both considering conventional and unconventional monetary policy. Although impulse response functions (IRFs) did not detect the significant impact of exchange rate volatility on inflation, VDCs obtained supporting results to exchange rate pass-through (ERPT). I suggest that the monetary policy to be developed should clarify alternative channels that exchange rate may affect inflation.
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