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Preparing for Takeoff? Professional Forecasters and the June 2013 FOMC Meeting
Following the June 18-19 Federal Open Market Committee (FOMC) meeting different measures of short-term interest rates increased notably. In the chart below, we plot two such measures: the two-year Treasury yield and the one-year overnight indexed swap (OIS) forward rate, one year in the future. The vertical line indicates the final day of the June FOMC meeting. To what extent did this rise in rates following the June FOMC meeting reflect a shift in the expected future path of the federal funds rate (FFR)? Market participants and policy makers often directly read the expected path from ...
Drilling Down into Core Inflation: Goods versus Services
Among the measures of core inflation used to monitor the inflation outlook, the series excluding food and energy prices is probably the best known and most closely followed by policymakers and the public. While the conventional ?ex food and energy? measure is a composite of the price changes of a large number of different products and services, almost all models developed to explain and forecast its behavior do not distinguish between the goods and services categories. Is the distinction important? Here, we highlight the different behavior and determinants of goods inflation and services ...
Forecasting Inflation with Fundamentals . . . It's Hard!
Controlling inflation is at the core of monetary policymaking, and central bankers would like to have access to reliable inflation forecasts to assess their progress in achieving this goal. Producing accurate inflation forecasts, however, turns out not to be a trivial exercise. This posts reviews the key challenges in inflation forecasting and discusses some recent developments that attempt to deal with these challenges.
A Bird's Eye View of the FRBNY DSGE Model
Dynamic stochastic general equilibrium (DSGE) models provide a stylized representation of reality. As such, they do not attempt to model all the myriad relationships that characterize economies, focusing instead on the key interactions among critical economic actors. In this post, we discuss which of these interactions are captured by the FRBNY model and describe how we quantify them using macroeconomic data. For more curious readers, this New York Fed working paper provides much greater detail on these and other aspects of the model.
Forecasting with the FRBNY DSGE Model
The Federal Reserve Bank of New York (FRBNY) has built a DSGE model as part of its efforts to forecast the U.S. economy. On Liberty Street Economics, we are publishing a weeklong series to provide some background on the model and its use for policy analysis and forecasting, as well as its forecasting performance. In this post, we briefly discuss what DSGE models are, explain their usefulness as a forecasting tool, and preview the forthcoming pieces in this series.