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Journal Article
To Improve the Accuracy of GDP Growth Forecasts, Add Financial Market Conditions
More timely data on current macroeconomic conditions can reduce uncertainty about forecasts, helping policymakers mitigate the risk of extreme economic outcomes. We find that incorporating financial market conditions along with current macroeconomic conditions improves the forecast accuracy of future GDP growth. Forecasts based only on current macroeconomic conditions eventually converge to those incorporating financial market conditions, lending further support to this approach.
Working Paper
The Fed's Response to Economic News Explains the “Fed Information Effect”
High-frequency changes in interest rates around FOMC announcements are a standard method of measuring monetary policy shocks. However, some recent studies have documented puzzling effects of these shocks on private-sector forecasts of GDP, unemployment, or inflation that are opposite in sign to what standard macroeconomic models would predict. This evidence has been viewed as supportive of a “Fed information effect” channel of monetary policy, whereby an FOMC tightening (easing) communicates that the economy is stronger (weaker) than the public had expected. We show that these empirical ...
Journal Article
Examining the Performance of FOMC Inflation Forecasts
Calendar-year inflation forecasts from Federal Open Market Committee meeting participants typically start near 2% and then are revised in response to incoming data. Before the pandemic when actual inflation was mostly below 2%, participants consistently lowered their forecasts over time. From 2021 onward when inflation surged to 40-year highs, participants consistently raised their forecasts over time. In both periods, cumulative forecast revisions help predict the size of subsequent forecast errors. This implies that the typical inflation forecast was slow to adjust to new information that ...
Working Paper
How Biased Are U.S. Government Forecasts of the Federal Debt?
Government debt and forecasts thereof attracted considerable attention during the recent financial crisis. The current paper analyzes potential biases in different U.S. government agencies? one-year-ahead forecasts of U.S. gross federal debt over 1984-2012. Standard tests typically fail to detect biases in these forecasts. However, impulse indicator saturation (IIS) detects economically large and highly significant time-varying biases, particularly at turning points in the business cycle. These biases do not appear to be politically related. IIS defines a generic procedure for examining ...
Working Paper
Risk Management in Monetary Policymaking: The 1994-95 Fed Tightening Episode
The 1994-95 Fed tightening episode was one of the most notable in the Fed’s history. First, the FOMC raised the policy rate by 300 basis points in a year, even though headline and core inflation were trending lower prior to the liftoff that occurred in February 1994. Second, the Fed’s actions caught the Treasury market by surprise, triggering a sharp decline in long-term bond prices. Third, Fed Chair Alan Greenspan and the Federal Open Market Committee were regularly surprised that inflation was not rising by more than the forecasts suggested during the episode. This article presents some ...
Journal Article
Forecasts Point to Cautious Optimism for Near-term Rebound
Forecasts suggest the economy is on the road to recovery, though it could take a year or more for activity to return to pre-pandemic levels.
Journal Article
Consumer Credit Cards Show Few Signs of Financial Stress
Since monetary policy tightening began in March 2022, interest rates have risen across a range of consumer financial products, including credit cards. However, the consumer credit market shows little sign of financial stress as of September 2024. While credit card delinquency rates have increased among subprime borrowers, internal bank assessments suggest that subprime default risks remain historically low.
Journal Article
The Likelihood of 2 Percent Inflation in the Next Three Years
This Commentary examines inflation forecasts generated from a range of statistical models that historically have performed well at forecasting inflation. For each model, we look at the most likely future forecast path and the distribution of forecasts around that path. We show that the models project generally rising inflation, but, in contrast to other forecasts, five out of six models assign a less than 50 percent probability to inflation?s being 2 percent or higher over the next three years.
Challenges in Nowcasting GDP Growth
Real gross domestic product (GDP) declined at an annualized rate of 4.8 percent in the first quarter, according to the first estimate from the U.S. Bureau of Economic Analysis (BEA), 3.8 percentage points more than the decline anticipated by the Atlanta Fed's final GDPNow model projection. Why was the error, which was easily the model's largest on record for final GDPNow forecasts, so big? Chart 1 looks at GDPNow's forecast errors since the model went live in mid-2014 and breaks them down into forecast errors for the various subcomponents' contributions to GDP growth.
Working Paper
Looking Beyond the Fed: Do Central Banks Cause Information Effects?
The importance of central bank information effects is the subject of an ongoing debate. Most work in this area focuses on the limited number of monetary policy events at the Federal Reserve. I assess the degree to which nine other central banks cause information effects. This analysis yields a much larger panel of primarily novel events. Following a surprise monetary tightening, economic forecasts improve in line with information effects. However, I find this outcome is driven by the predictability of monetary policy surprises and not information effects. My results support the view that ...