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Working Paper
Stress Testing Household Debt
Bhutta, Neil; Dettling, Lisa J.; Laufer, Steven; Bricker, Jesse; Kelliher, Jimmy (2019-02-13)
We estimate a county-level model of household delinquency and use it to conduct "stress tests" of household debt. Applying house price and unemployment rate shocks from Comprehensive Capital Analysis Review (CCAR) stress tests, we find that forecasted delinquency rates for the recent stock of debt are moderately lower than for the stock of debt before the 2007-09 financial crisis, given the same set of shocks. This decline in expected delinquency rates under stress reflects an improvement in debt-to-income ratios and an increase in the share of debt held by borrowers with relatively high ...
Finance and Economics Discussion Series , Paper 2019-008

Working Paper
Assessing Macroeconomic Tail Risk
Matthes, Christian; Zhang, Donghai; Loria, Francesca (2019-04-19)
What drives macroeconomic tail risk? To answer this question, we borrow a definition of macroeconomic risk from Adrian et al. (2019) by studying (left-tail) percentiles of the forecast distribution of GDP growth. We use local projections (Jord, 2005) to assess how this measure of risk moves in response to economic shocks to the level of technology, monetary policy, and financial conditions. Furthermore, by studying various percentiles jointly, we study how the overall economic outlook?as characterized by the entire forecast distribution of GDP growth?shifts in response to shocks. We find that ...
Working Paper , Paper 19-10

Working Paper
Raiders of the Lost High-Frequency Forecasts: New Data and Evidence on the Efficiency of the Fed's Forecasting
Chang, Andrew C.; Levinson, Trace J. (2020-10-23)
We introduce a new dataset of real gross domestic product (GDP) growth and core personal consumption expenditures (PCE) inflation forecasts produced by the staff of the Board of Governors of the Federal Reserve System. In contrast to the eight Greenbook forecasts a year the staff produces for Federal Open Market Committee (FOMC) meetings, our dataset has roughly weekly forecasts. We use these new data to study whether the staff forecasts efficiently and whether efficiency, or lack thereof, is time-varying. Prespecified regressions of forecast errors on forecast revisions show that the staff's ...
Finance and Economics Discussion Series , Paper 2020-090

Working Paper
Stock Market Cross-Sectional Skewness and Business Cycle Fluctuations
Ferreira, Thiago Revil T. (2018-03-06)
Using U.S. data from 1926 to 2015, I show that financial skewness?a measure comparing cross-sectional upside and downside risks of the distribution of stock market returns of financial firms?is a powerful predictor of business cycle fluctuations. I then show that shocks to financial skewness are important drivers of business cycles, identifying these shocks using both vector autoregressions and a dynamic stochastic general equilibrium model. Financial skewness appears to reflect the exposure of financial firms to the economic performance of their borrowers.
International Finance Discussion Papers , Paper 1223

Working Paper
Evaluating the Information Value for Measures of Systemic Conditions
Oet, Mikhail V.; Dooley, John; Sarlin, Peter; Gramlich, Dieter; Ong, Stephen J. (2015-08-06)
Timely identification of coincident systemic conditions and forward-looking capacity to anticipate adverse developments are critical for macroprudential policy. Despite clear recognition of these factors in literature, an evaluation methodology and empirical tests for the information value of coincident measures are lacking. This paper provides a twofold contribution to the literature: (i) a general-purpose evaluation framework for assessing information value for measures of systemic conditions, and (ii) an empirical assessment of the information value for several alternative measures of US ...
Working Papers (Old Series) , Paper 1513

Working Paper
Tractable latent state filtering for non-linear DSGE models using a second-order approximation
Kollmann, Robert (2013)
This paper develops a novel approach for estimating latent state variables of Dynamic Stochastic General Equilibrium (DSGE) models that are solved using a second-order accurate approximation. I apply the Kalman filter to a state-space representation of the second-order solution based on the ?pruning? scheme of Kim, Kim, Schaumburg and Sims (2008). By contrast to particle filters, no stochastic simulations are needed for the filter here--the present method is thus much faster. In Monte Carlo experiments, the filter here generates more accurate estimates of latent state variables than the ...
Globalization Institute Working Papers , Paper 147

Working Paper
Inflation Uncertainty and Disagreement in Bond Risk Premia
D'Amico, Stefania; Orphanides, Athanasios (2014-01-11)
This paper examines the relation between variations in perceived inflation uncertainty and bond premia. Using the subjective probability distributions available in the Survey of Professional Forecasters we construct a quarterly time series of average individual uncertainty about inflation forecasts since 1968. We show that this ex-ante measure of inflation uncertainty differs importantly from measures of disagreement regarding inflation forecasts and other proxies, such as model-based ex-post measures of macroeconomic risk. Inflation uncertainty is an important driver of bond premia, but the ...
Working Paper Series , Paper WP-2014-24

Working Paper
Forecasting US Inflation in Real Time
Fulton, Chad; Hubrich, Kirstin (2021-03-04)
We perform a real-time forecasting exercise for US inflation, investigating whether and how additional information--additional macroeconomic variables, expert judgment, or forecast combination--can improve forecast accuracy and robustness. In our analysis we consider the pre-pandemic period including the Global Financial Crisis and the following expansion--the longest on record--featuring unemployment that fell to a rate not seen for nearly sixty years. Distinguishing features of our study include the use of published Federal Reserve Board staff forecasts contained in Tealbooks and a focus on ...
Finance and Economics Discussion Series , Paper 2021-014

Working Paper
Monetary Policy Strategies to Foster Price Stability and a Strong Labor Market
Kiley, Michael T. (2024-05-28)
I assess monetary policy strategies to foster price stability and labor market strength. The assessment incorporates a range of challenges, including uncertainty regarding the equilibrium real interest rate, mismeasurement of economic potential, and balancing the costs and benefits associated with employment shortfalls and labor market strength. I find that the ELB remains a significant constraint, hindering achievement of the inflation objective and worsening employment shortfalls. Symmetric policy reaction functions mitigate the most adverse effects of employment shortfalls by contributing ...
Finance and Economics Discussion Series , Paper 2024-033

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