Document Type
Article
Publication Date
2017
Publication Title
Economics Bulletin
Volume
37
Issue Number
4
First Page
2767
Last Page
2796
Keywords
effective federal funds rate, google search, internet search, investor attention, online search, federal reserve, federal rate, federal funds rate, investor, sentiment, anticipation, forecast, prediction
Disciplines
Economics | Finance
Abstract
In this article we study if investor's sentiment measured by an intensity of Google searches may be used to predict future changes of the Effective Federal Funds rate. We find that online searches for “fed funds rate”, “fed interest rate”, “fed reserve”, “fed reserve rate” and “federal interest rate” are associated with next week decrease of the Effective Federal Funds Rate. Google searches for “fed rate hike” and “fed raise rates” are associated with next week increase of the Effective Federal Funds Rate even after we control for a number of macroeconomic indicators. We also find that intensity of Google searches is associated with the future decrease of volatility of the Effective Federal Funds rate. This finding can be explained by the reduction of information asymmetry about future changes that leads to a reduced volatility.
Recommended Citation
Artem Meshcheryakov and Stoyu Ivanov. "Investor's sentiment in predicting the Effective Federal Funds Rate" Economics Bulletin 37.4 (2017): 2767-2796.
Comments
This article was originally published in Economics Bulletin, volume 37, issue 4, 2017, and can also be found online at this link.