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Working Paper
A Bayesian evaluation of alternative models of trend inflation
The concept of trend inflation is important in making accurate inflation forecasts. However, there is little consensus on how the trend in inflation should be modeled. While some studies suggest a survey-based measure of long-run inflation expectations as a good empirical proxy for trend inflation, others have argued for a statistical exercise of decomposing inflation data into trend and cycle components. In this paper, we assess alternative models of trend inflation based on the accuracy of medium-term inflation forecasts. To incorporate recent evidence on the time-varying macroeconomic ...
Journal Article
Measuring the Stance of Monetary Policy on and off the Zero Lower Bound
Taeyoung Doh and Jason Choi propose a new ?shadow? short-term interest rate to measure the stance of policy when the federal funds rate was constrained by the zero lower bound.
Journal Article
Monetary Policy Stance Is Tighter than Federal Funds Rate
The Federal Reserve’s use of forward guidance and balance sheet policy means that monetary policy consists of more than changing the federal funds rate target. A proxy federal funds rate that incorporates data from financial markets can help assess the broader stance of monetary policy. This proxy measure shows that, since late 2021, monetary policy has been substantially tighter than the federal funds rate indicates. Tightening financial conditions are similar to what would be expected if the funds rate had exceeded 5¼% by September 2022.
Working Paper
The Equilibrium Term Structure of Equity and Interest Rates
We develop an equilibrium asset pricing model with Epstein-Zin recursive preferences that accounts for major stylized facts of the term structure of bond and equity risk premia. While the term structure of bond risk premia tends to be upward-sloping on average, the term structure of equity risk premia is known to be downward-sloping. {{p}} The equilibrium asset pricing model with long-run consumption risks has difficulty matching these stylized facts simultaneously. The standard calibration of these models follows Bansal and Yaron (2004), in which agents prefer the early resolution of ...
Working Paper
Non-stationary hours in a DSGE model
The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Relaxing these restrictions can close the gap between DSGE models and vector autoregressions. This paper modifies a simple stochastic growth model by incorporating permanent labor supply shocks that can generate a unit root in hours worked. Using Bayesian methods we estimate two versions of the DSGE model: the standard specification in which hours worked are stationary and the modified version with permanent labor supply shocks. ...
Working Paper
Assessing Macroeconomic Tail Risks in a Data-Rich Environment
We use a large set of economic and financial indicators to assess tail risks of the three macroeconomic variables: real GDP, unemployment, and inflation. When applied to U.S. data, we find evidence that a dense model using principal components (PC) as predictors might be misspecified by imposing the “common slope” assumption on the set of predictors across multiple quantiles. The common slope assumption ignores the heterogeneous informativeness of individual predictors on different quantiles. However, the parsimony of the PC-based approach improves the accuracy of out-of-sample forecasts ...
Working Paper
Reconciling VAR-based Forecasts with Survey Forecasts
This paper proposes a novel Bayesian approach to jointly model realized data and survey forecasts of the same variable in a vector autoregression (VAR). In particular, our method imposes a prior distribution on the consistency between the forecast implied by the VAR and the survey forecast for the same variable. When the prior is placed on unconditional forecasts from the VAR, the prior shapes the posterior of the reduced-form VAR coefficients. When the prior is placed on conditional forecasts (specifically, impulse responses), the prior shapes the posterior of the structural VAR ...
Working Paper
Deciphering Federal Reserve Communication via Text Analysis of Alternative FOMC Statements*
We present a text-based metric for monetary policy stance using official and alternative Federal Open Market Committee statements. Our advanced natural language processing, with numeric property detection, jointly evaluates quantitative decisions like interest rates and qualitative explanations for these choices from texts. Monetary policy stance is decomposed into expected stance and surprise components by leveraging high-frequency bond futures data around FOMC announcements. We examine responses of stock returns to counterfactual (more dovish or hawkish) policy surprises through alternative ...
Working Paper
A Bayesian evaluation of alternative models of trend inflation
With the concept of trend inflation now widely understood as to be important as a measure of the public's perception of the inflation goal of the central bank and important to the accuracy of longer-term inflation forecasts, this paper uses Bayesian methods to assess alternative models of trend inflation. Reflecting models common in reduced-form inflation modeling and forecasting, we specify a range of models of inflation, including: AR with constant trend; AR with trend equal to last period's inflation rate; local level model; AR with random walk trend; AR with trend equal to the long-run ...