Identification of monetary surprises using intraday data

IF 0.7 Q3 ECONOMICS
V. A. Bannikova, O. S. Vinogradova, F. Kartaev
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引用次数: 0

Abstract

Currently, the Bank of Russia in its press releases informs the public not only about the decision on the interest rate, but also on the planned trajectory of future interest rates and its own forecasts of the development of the macroeconomic situation. Thus, the Central Bank’s announcement may be unexpected for the public in two senses: a change in the key rate (monetary surprise) and providing new forecast information (informational surprise). The impact of different types of surprises on macroeconomic dynamics may be different, so it is advisable to be able to identify the effect of each of them separately. In this paper, the identification of monetary surprises is proposed, which has advantages over those already presented in the literature. It allows, firstly, to identify yield curve shocks and, secondly, to remove the non-monetary (informational) component from the estimates of monetary surprises. The paper reveals the need to identify information shocks using intraday data and the advantages of using minute data compared to using data of lower frequency. Based on the proposed high-frequency approach, we assess the role of information shocks and the role of interest rate trajectory signals in formatting Russian inflation expectations.
利用盘中数据识别货币意外
目前,俄罗斯央行在其新闻稿中不仅向公众通报利率决定,还通报未来利率的计划轨迹及其自身对宏观经济形势发展的预测。因此,中央银行的公告可能在两种意义上出乎公众意料:关键利率的变化(货币意外)和提供新的预测信息(信息意外)。不同类型的意外对宏观经济动态的影响可能不同,因此最好能够分别识别每种意外的影响。本文提出了货币意外的识别方法,它与文献中已有的方法相比具有优势。首先,它可以识别收益率曲线冲击;其次,它可以从货币意外的估计中剔除非货币(信息)成分。本文揭示了使用盘中数据识别信息冲击的必要性,以及使用分钟数据与使用较低频率数据相比的优势。基于所提出的高频方法,我们评估了信息冲击的作用以及利率轨迹信号在俄罗斯通胀预期格式化中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Voprosy Ekonomiki
Voprosy Ekonomiki ECONOMICS-
CiteScore
1.80
自引率
25.00%
发文量
86
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