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Working Paper
Quantifying "Quantitative Tightening" (QT): How Many Rate Hikes Is QT Equivalent To?
Wei, Bin (2022-07-15)
How many interest rate hikes is quantitative tightening (QT) equivalent to? In this paper, I examine this question based on the preferred-habitat model in Vayanos and Vila (2021). I define the equivalence between rate hikes and QT such that they both have the same impact on the 10-year yield. Based on the model calibrated to fit the nominal Treasury data between 1999 and 2022, I show that a passive roll-off of $2.2 trillion over three years is equivalent to an increase of 29 basis points in the current federal funds rate at normal times. However, during a crisis period with risk aversion ...
FRB Atlanta Working Paper , Paper 2022-8

Working Paper
Bankruptcy and Delinquency in a Model of Unsecured Debt
Young, Eric R.; Athreya, Kartik B.; Sanchez, Juan M.; Tam, Xuan S. (2016-12-01)
This paper documents and interprets two facts central to the dynamics of informal default or "delinquency" on unsecured consumer debt. First, delinquency does not mean a persistent cessation of payment. In particular, we observe that for individuals 60 to 90 days late on payments, 85% make payments during the next quarter that allow them to avoid entering more severe delinquency. Second, many in delinquency (40%) have smaller debt obligations one quarter later. To understand these facts, we develop a theoretically and institutionally plausible model of debt delinquency and bankruptcy. Our ...
Working Paper , Paper 16-12

Report
Modigliani Meets Minsky: Inequality, Debt, and Financial Fragility in America, 1950-2016
Bartscher, Alina K.; Steins, Ulrike I.; Schularick, Moritz; Kuhn, Moritz (2020-05-01)
This paper studies the secular increase in U.S. household debt and its relation to growing income inequality and financial fragility. We exploit a new household-level data set that covers the joint distributions of debt, income, and wealth in the United States over the past seven decades. The data show that increased borrowing by middle-class families with low income growth played a central role in rising indebtedness. Debt-to-income ratios have risen most dramatically for households between the 50th and 90th percentiles of the income distribution. While their income growth was low, ...
Staff Reports , Paper 924

Working Paper
Pandemic Recession Dynamics: The Role of Monetary Policy in Shifting a U-Shaped Recession to a V-Shaped Rebound
Kiley, Michael T. (2020-10-07)
COVID-19 has depressed economic activity around the world. The initial contraction may be amplified by the limited space for conventional monetary policy actions to support recovery implied by the low level of nominal interest rates recently. Model simulations assuming an initial contraction in output of 10 percent suggest several policy lessons. Adverse effects of constrained monetary policy space are large, changing a V-shaped rebound into a deep U-shaped recession absent large-scale Quantitative Easing (QE). Additionally, the medium-term scarring on economic potential can be large, and ...
Finance and Economics Discussion Series , Paper 2020-083

Working Paper
Credit, bankruptcy, and aggregate fluctuations
Nakajima, Makoto; Rios-Rull, Jose-Victor (2014-10-20)
We ask two questions related to how access to credit affects the nature of business cycles. First, does the standard theory of unsecured credit account for the high volatility and procyclicality of credit and the high volatility and countercyclicality of bankruptcy filings found in U.S. data? Yes, it does, but only if we explicitly model recessions as displaying countercyclical earnings risk (i.e., rather than having all households fare slightly worse than normal during recessions, we ensure that more households than normal fare very poorly). Second, does access to credit smooth aggregate ...
Working Papers , Paper 14-31

Working Paper
Bond Risk Premiums at the Zero Lower Bound
Andreasen, Martin M.; Joergensen, Kasper; Meldrum, Andrew C. (2019-05-28)
This paper documents a significantly stronger relationship between the slope of the yield curve and future excess bond returns on Treasuries from 2008-2015 than before 2008. This new predictability result is not matched by the standard shadow rate model with Gaussian factor dynamics, but extending the model with regime-switching in the (physical) dynamics of the factors at the lower bound resolves this shortcoming. The model is also consistent with the downwards trend in surveys on short rate expectations at long horizons, but requires a break in the level of its factors to closely fit the ...
Finance and Economics Discussion Series , Paper 2019-040

Working Paper
Credit-Market Sentiment and the Business Cycle
López-Salido, J. David; Zakrajšek, Egon; Stein, Jeremy C. (2015-04-25)
Using U.S. data from 1929 to 2015, we show that elevated credit-market sentiment in year t-2 is associated with a decline in economic activity in years t and t+1. Underlying this result is the existence of predictable mean reversion in credit-market conditions. When credit risk is aggressively priced, spreads subsequently widen. The timing of this widening is, in turn, closely tied to the onset of a contraction in economic activity. Exploring the mechanism, we find that buoyant credit-market sentiment in year t-2 also forecasts a change in the composition of external finance: Net debt ...
Finance and Economics Discussion Series , Paper 2015-28

Working Paper
Flights to Safety
Wei, Min; Inghelbrecht, Koen; Bekaert, Geert; Baele, Lieven (2014-06-05)
Using only daily data on bond and stock returns, we identify and characterize flight to safety (FTS) episodes for 23 countries. On average, FTS days comprise less than 3% of the sample, and bond returns exceed equity returns by 2.5 to 4%. The majority of FTS events are country-specific not global. FTS episodes coincide with increases in the VIX and the Ted spread, decreases in consumer sentiment indicators and appreciations of the Yen, Swiss franc, and US dollar. The financial, basic materials and industrial industries under-perform in FTS episodes, but the telecom industry outperforms. Money ...
Finance and Economics Discussion Series , Paper 2014-46

Working Paper
Financial Conditions and Economic Activity: Insights from Machine Learning
Kiley, Michael T. (2020-11-16)
Machine learning (ML) techniques are used to construct a financial conditions index (FCI). The components of the ML-FCI are selected based on their ability to predict the unemployment rate one-year ahead. Three lessons for macroeconomics and variable selection/dimension reduction with large datasets emerge. First, variable transformations can drive results, emphasizing the need for transparency in selection of transformations and robustness to a range of reasonable choices. Second, there is strong evidence of nonlinearity in the relationship between financial variables and economic ...
Finance and Economics Discussion Series , Paper 2020-095

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