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Working Paper
Fed Communication, News, Twitter, and Echo Chambers
We estimate monetary policy surprises (sentiment) from the perspective of three different textual sources: direct central bank communication (FOMC statements and press conferences), news articles, and Twitter posts during FOMC announcement days. Textual sentiment across sources is highly correlated, but there are times when news and Twitter sentiment substantially disagree with the sentiment conveyed by the central bank. We find that sentiment estimated using news articles correlates better with daily U.S. Treasury yield changes than the sentiment extracted directly from Fed communication, ...
Working Paper
Credit Ratings, Private Information, and Bank Monitoring Ability
In this paper, we use credit rating data from two large Swedish banks to elicit evidence on banks' loan monitoring ability. For these banks, our tests reveal that banks' internal credit ratings indeed include valuable private information from monitoring, as theory suggests. Banks' private information increases with the size of loans.
Working Paper
Words Speak as Loudly as Actions: Central Bank Communication and the Response of Equity Prices to Macroeconomic Announcements
While the literature has already widely documented the effects of macroeconomic news announcements on asset prices, as well as their asymmetric impact during good and bad times, we focus on the reaction to news based on the description of the state of the economy as painted by the Federal Open Market Committee (FOMC) statements. We develop a novel FOMC sentiment index using textual analysis techniques, and find that news has a bigger (smaller) effect on equity prices during bad (good) times as described by the FOMC sentiment index. Our analysis suggests that the FOMC sentiment index offers a ...