We study how the use of judgment or "add-factors" in macroeconomic forecasting may disturb the set of equilibrium outcomes when agents learn using recursive methods. We examine the possibility of a new phenomenon, which we call exuberance equilibria, in the New Keynesian monetary policy...

Current best practice in central banking views a high level of monetary policy predictability as desirable. A clear distinction, however, has to be made between short-term and longer-term predictability. While short-term predictability can be narrowly defined as the ability of the public to...

Current best practice in central banking views a high level of monetary policy predictability as desirable. A clear distinction, however, has to be made between short-term and longer-term predictability. While short-term predictability can be narrowly defined as the ability of the public to...

We investigate the performance of forecast-based monetary policy rules using five macroeconomic models that reflect a wide range of views on aggregate dynamics. We identify the key characteristics of rules that are robust to model uncertainty: such rules respond to the one-year ahead inflation...

Producing and revealing inflation forecasts is believed to be the best way of implementing a forward-looking monetary policy. The article focuses on inflation forecast targeting (IFT) at the Czech National Bank (CNB) in terms of its efficiency in shaping consumers' inflation expectations. The...

We use forecast errors made by the Federal Reserve while preparing open market operations to identify a liquidity effect at a daily frequency in the federal funds market. Unlike Hamilton (1997), we find a liquidity effect on many days of the reserve maintenance period besides settlement day. The...

This paper demonstrates the use of Random Regression Forests (RRF) for optimal lag selection. Using an extended sample of 144 data series, of various data types with different frequencies and sample sizes, we perform optimal lag selection using RRF and compare the results with seven...

This paper introduces the Bank of England's new forecasting platform and provides examples of how it can be applied to practical forecasting problems. The platform consists of four components: COMPASS, a structural central organising model; a suite of models, used to fill in the gaps in the...