Federal Reserve Bank of St. Louis

About: Federal Reserve Bank of St. Louis is a other organization based out in St Louis, Missouri, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 203 authors who have published 1650 publications receiving 46084 citations.

Advances in Forecast Evaluation

Abstract: This chapter surveys recent developments in the evaluation of point forecasts. Taking West’s (2006) survey as a starting point, we briefly cover the state of the literature as of the time of West’s writing. We then focus on recent developments, including advancements in the evaluation of forecasts at the population level (based on true, unknown model coefficients), the evaluation of forecasts in the infinite sample (based on estimated model coefficients), and the evaluation of conditional versus unconditional forecasts. We present original results in a few subject areas: the optimization of power in determining the split of a sample into in-sample and out-of-sample portions; whether the accuracy of inference in evaluation of multi-step forecasts can be improved with judicious choice of heteroskedasticity-and-autocorrelation estimator (it can); and the extension of West’s (1996) theory results for population-level, unconditional forecast evaluation to the case of conditional forecast evaluation.

The Less-Volatile U.S. Economy: A Bayesian Investigation of Timing, Breadth, and Potential Explanations

Abstract: Using a Bayesian model comparison strategy, we search for a volatility reduction in U.S. real gross domestic product (GDP) growth within the postwar sample. We find that aggregate real GDP growth has been less volatile since the early 1980s, and that this volatility reduction is concentrated in the cyclical component of real GDP.Sales and production growth in many of the components of real GDP display similar reductions in volatility, suggesting the aggregate volatility reduction does not have a narrow source. We also document structural breaks in inflation dynamics that occurred over a similar time frame as the GDP volatility reduction.

The dynamic relationship between the federal funds rate and the Treasury bill rate: An empirical investigation

Abstract: This article examines the dynamic relationship between two key US money market interest rates – the federal funds rate and the 3-month Treasury bill rate. Using daily data over the period from 1974-99, we find a long-run relationship between these two rates that is remarkably stable across monetary policy regimes of interest rate and monetary aggregate targeting. Employing a non-linear asymmetric vector equilibrium correction model, which is novel in this context, we find that most of the adjustment toward the long run equilibrium occurs through the federal funds rate. In turn, there is strong evidence for the existence of significant asymmetries and non-linearities in interest rate dynamics that have implications for the conventional view of interest rate behaviour.

News Shocks and the Slope of the Term Structure of Interest Rates

Abstract: We provide a new structural interpretation of the relationship between the slope of the term structure of interest rates and macroeconomic fundamentals. We first adopt an agnostic identification approach that allows us to identify the shocks that explain most of the movements in the slope. We find that two shocks are sufficient to explain virtually all movements in the slope. Impulse response functions for the first shock, which explains the majority of the movements in the slope, lead us to interpret this main shock as a news shock about future productivity. We confirm this interpretation by formally identifying such a news shock as in Barsky and Sims (2009) and Sims (2009). We then assess to what extent a New Keynesian DSGE model is capable of generating the observed slope responses to a news shock. We find that augmenting DSGE models with a term structure provides valuable information to discipline the description of monetary policy and the model’s response to news shocks in general.

Perfecting the Market's Knowledge of Monetary Policy

Abstract: The rational expectations revolution made clear that a complete macro model requires a specification of the government's economic policy. We argue that monetary policy should be conducted in such a way that the market can predict policy actions. An implication of market success in predicting policy actions is that interest rates move ahead of the policy actions, and such a timing relationship may appear to some as the central bank following the market instead of leading it. Another implication of the market predicting policy actions is that nominal interest rate changes provide no useful information to the central bank about the strength of aggregate demand or inflationary expectations. Finally, failure of the market to predict policy actions reflects a problem that needs to be addressed.