Measuring Monetary Policy Shocks in India

Aeimit Lakdawala, Rajeswari Sengupta
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引用次数: 6

Abstract

We present new measures of monetary policy shocks for India using high-frequency data, creating a publicly available event study dataset as a byproduct. In addition to capturing surprises to the Reserve Bank of India's (RBI) policy rate, our shocks suggest that financial markets infer substantial information about the future path of the policy rate from RBI communication. We conduct a narrative analysis of official statements and corresponding media discussion on prominent RBI announcement dates to help understand how markets use RBI communication to update their expectations. Bond and stock markets react strongly to these monetary shocks, but exhibit notable heterogeneity across governor regimes. Finally, we use the monetary shocks as external instruments to identify the impact on macroeconomic variables in a structural vector autoregression. We find some evidence of the conventional transmission of monetary policy to prices but not to output.
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衡量印度货币政策冲击
我们使用高频数据提出了印度货币政策冲击的新措施,创建了一个公开可用的事件研究数据集作为副产品。除了捕捉到印度储备银行(RBI)政策利率的意外之外,我们的冲击表明,金融市场从RBI的沟通中推断出有关政策利率未来路径的大量信息。我们对印度央行重要公告日期的官方声明和相应的媒体讨论进行了叙述性分析,以帮助了解市场如何利用印度央行的沟通来更新他们的预期。债券和股票市场对这些货币冲击反应强烈,但在不同的行长制度下表现出显著的异质性。最后,我们使用货币冲击作为外部工具,在结构向量自回归中识别对宏观经济变量的影响。我们发现了一些证据,表明货币政策通常会传导至价格,而非产出。
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