All Rights Reserved
AccessEcon LLC 2006, 2008.
Powered by MinhViet JSC
ralph lauren polo

 
Artem Meshcheryakov and Stoyu I Ivanov
 
''Investor's sentiment in predicting the Effective Federal Funds Rate''
( 2017, Vol. 37 No.4 )
 
 
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.
 
 
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
JEL: E4 - Money and Interest Rates: General
E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit: General
 
Manuscript Received : Oct 31 2016 Manuscript Accepted : Dec 01 2017

  This abstract has been downloaded 220 times                The Full PDF of this paper has been downloaded 104266 times