Forecasting Consumer Price Index with Federal Open Market Committee Sentiment Index

IF 3.4 3区 经济学 Q1 ECONOMICS Journal of Forecasting Pub Date : 2024-03-03 DOI:10.1002/for.3109
Joshua Eklund, Jong-Min Kim
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Abstract

The Federal Open Market Committee (FOMC) is a component of the Federal Reserve System responsible for overseeing open market operations. The FOMC meets roughly eight or more times per year to assess the economy of the United States. After each meeting, the FOMC releases a statement to the press outlining its assessment of the US economy and its monetary policy stance. The sentiment of these statements may have an influence on the US economy and financial markets. Using sentiment and correlational analyses, this research examines how the sentiment of these statements affects the US economy and financial markets by analyzing how FOMC statement sentiment is correlated with the Consumer Price Index (CPI), the National Financial Conditions Index (NFCI), and the Adjusted National Financial Conditions Index (ANFCI). We find evidence to suggest that there is a moderate negative correlation between an FOMC statement's sentiment and the US City Average CPI value associated with the month before and the month after the statement's release. We also find that there is no evidence to suggest there exists a correlation between an FOMC statement's sentiment and the NFCI value associated with the week before or the week after the statement's release. However, we do find evidence to suggest that there is a moderate negative correlation between an FOMC statement's sentiment and the ANFCI value associated with the week before and the week after the statement's release. We also found that out of the three models we tested (linear regression, vine copula regression, and Gaussian copula regression), the Gaussian copula regression model performs the best when forecasting the CPI and the ANFCI. Additionally, we find that when forecasting CPI values, the models that include FOMC statement sentiment are more accurate than the models that exclude FOMC statement sentiment.

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利用联邦公开市场委员会情绪指数预测消费者价格指数
联邦公开市场委员会(FOMC)是联邦储备系统的一个组成部分,负责监督公开市场操作。FOMC 每年大约召开八次或更多次会议,对美国经济进行评估。每次会议后,FOMC 都会向新闻界发表声明,概述其对美国经济的评估及其货币政策立场。这些声明的情绪可能会对美国经济和金融市场产生影响。本研究利用情绪和相关性分析,通过分析 FOMC 声明情绪与消费者物价指数 (CPI)、国家金融状况指数 (NFCI) 和调整后国家金融状况指数 (ANFCI) 的相关性,研究这些声明的情绪如何影响美国经济和金融市场。我们发现有证据表明,FOMC 声明的情绪与声明发布前一个月和声明发布后一个月的美国城市平均 CPI 值之间存在中度负相关。我们还发现,没有证据表明 FOMC 声明的情绪与声明发布前一周或声明发布后一周的 NFCI 值之间存在相关性。不过,我们确实发现有证据表明,FOMC 声明的情绪与声明发布前一周和发布后一周的 ANFCI 值之间存在中度负相关。我们还发现,在我们测试的三个模型(线性回归、藤蔓协整回归和高斯协整回归)中,高斯协整回归模型在预测 CPI 和 ANFCI 时表现最佳。此外,我们发现在预测 CPI 值时,包含 FOMC 声明情绪的模型比不包含 FOMC 声明情绪的模型更准确。
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来源期刊
CiteScore
5.40
自引率
5.90%
发文量
91
期刊介绍: The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes.
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