Search Results
Working Paper
Did the Federal Reserve Break the Phillips Curve? Theory and Evidence of Anchoring Inflation Expectations
In a macroeconomic model with drifting long-run inflation expectations, the anchoring of inflation expectations manifests in two testable predictions. First, expectations about inflation far in the future should no longer respond to news about current inflation. Second, better-anchored inflation expectations weaken the relationship between unemployment and inflation, flattening the reduced-form Phillips curve. We evaluate both predictions and find that communication of a numerical inflation objective better anchored inflation expectations in the United States but failed to anchor expectations ...
Working Paper
Understanding the Aspects of Federal Reserve Forward Guidance
This paper studies the effects of Federal Open Market Committee (FOMC) forward guidance language. I estimate two policy surprises at FOMC meetings: a change in the current federal funds rate and an orthogonal change in the expected path of the federal funds rate. From February 2000 to June 2003, the FOMC only gave forward guidance about risks to the economic outlook, and a surprise increase in the expected federal funds rate path had expansionary effects. This is consistent with models of central bank information effects, where a positive economic outlook causes private agents to revise up ...
Working Paper
Issues Regarding the Use of the Policy Rate Tool
We review two nonstandard uses of the policy rate tool, which provide additional stimulus when interest rates are close to or at the effective lower bound—forward guidance and negative interest rate policy. In particular, we survey the use of these tools since the star otf the Great Recession, review evidence of their effectiveness, and discuss key considerations that confront monetary policymakers while using them.
Working Paper
Mind Your Language: Market Responses to Central Bank Speeches
Researchers have carefully studied post-meeting central bank communication and have found that it often moves markets, but they have paid less attention to the more frequent central bankers’ speeches. We create a novel dataset of US Federal Reserve speeches and use supervised multimodal natural language processing methods to identify how monetary policy news affect financial volatility and tail risk through implied changes in forecasts of GDP, inflation, and unemployment. We find that news in central bankers’ speeches can help explain volatility and tail risk in both equity and bond ...
Working Paper
Mind Your Language: Market Responses to Central Bank Speeches
Researchers have carefully studied post-meeting central bank communication and have found that it often moves markets, but they have paid less attention to the more frequent central bankers’ speeches. We create a novel dataset of US Federal Reserve speeches and develop supervised multimodal natural language processing methods to identify how monetary policy news affect financial volatility and tail risk through implied changes in forecasts of GDP, inflation, and unemployment. We find that news in central bankers’ speeches can help explain volatility and tail risk in both equity and bond ...
Report
Comment on Iovino, La’O and Mascarenhas, “Optimal Monetary Policy and Disclosure with an Informationally-Constrained Central Banker”
Iovino, La’O and Mascarenhas (forthcoming) ask two important questions regarding the optimal conduct of monetary policy: Should the central bank’s policy depend on information the central bank has that is not available to markets? And should the central bank disclose information that it has but market participants do not? Iovino, La’O and Mascarenhas answer these questions using a simple, stylized model with one-period price stickiness. They show that efficient equilibria can be sustained regardless of whether policy depends on the central bank’s information and regardless of its ...
Working Paper
Mind Your Language: Market Responses to Central Bank Speeches
Post-meeting central bank communication often moves markets, but researchers have paid less attention to the more frequent central bankers’ speeches. We create a novel dataset of U.S. Federal Reserve speeches and develop supervised multimodal natural language processing methods to identify how monetary policy news affect bond and stock market volatility and tail risk through implied changes in forecasts of GDP, inflation, and unemployment. We find that forecast revisions derived from FOMC member speeches can help explain volatility and tail risk in both equity and bond markets. Speeches ...