2016Brookings Papers on Economic ActivityOpen access

Risk Management for Monetary Policy Near the Zero Lower Bound

Charles L. Evans, Jonas Fisher, François Gourio, Spencer Krane

Open full text 80 citations

Abstract

With projections showing inflation heading back toward target and the labor market continuing to improve, the Federal Reserve has begun to contemplate an increase in the federal funds rate. There is, however, substantial uncertainty around these projections. How should this uncertainty affect monetary policy? In many standard models uncertainty has no effect. In this paper, we demonstrate that the zero lower bound (ZLB) on nominal interest rates implies that the central bank should adopt a looser policy when there is uncertainty. In the current context this result implies that a delayed liftoff is optimal. We demonstrate this result theoretically through two canonical macroeconomic models. Using numerical simulations of our models calibrated to the current environment, we find that optimal policy calls for a delay in liftoff of two to three quarters relative to a policy that does not take into account uncertainty about policy being constrained by the ZLB. We then use a narrative study of Federal Reserve communications and estimated policy reaction functions to show that risk management is a long-standing practice in the conduct of monetary policy.

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With projections showing inflation heading back toward target and the labor market continuing to improve, the Federal Reserve has begun to contemplate an increase in the federal funds rate. There is, however, substantial uncertainty around these projections. How should this uncertainty affect monetary policy? In many standard models uncertainty has no effect. In this paper, we demonstrate that the zero lower bound (ZLB) on nominal interest rates implies that the central bank should adopt a looser policy when there is uncertainty. In the current context this result implies that a delayed liftoff is optimal. We demonstrate this result theoretically through two canonical macroeconomic models. Using numerical simulations of our models calibrated to the current environment, we find that optimal policy calls for a delay in liftoff of two to three quarters relative to a policy that does not take into account uncertainty about policy being constrained by the ZLB. We then use a narrative study of Federal Reserve communications and estimated policy reaction functions to show that risk management is a long-standing practice in the conduct of monetary policy.

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Available abstract

With projections showing inflation heading back toward target and the labor market continuing to improve, the Federal Reserve has begun to contemplate an increase in the federal funds rate. There is, however, substantial uncertainty around these projections. How should this uncertainty affect monetary policy? In many standard models uncertainty has no effect. In this paper, we demonstrate that the zero lower bound (ZLB) on nominal interest rates implies that the central bank should adopt a looser policy when there is uncertainty. In the current context this result implies that a delayed liftoff is optimal. We demonstrate this result theoretically through two canonical macroeconomic models. Using numerical simulations of our models calibrated to the current environment, we find that optimal policy calls for a delay in liftoff of two to three quarters relative to a policy that does not take into account uncertainty about policy being constrained by the ZLB. We then use a narrative study of Federal Reserve communications and estimated policy reaction functions to show that risk management is a long-standing practice in the conduct of monetary policy.

Key concepts: Monetary policy, Zero lower bound, Economics, Forward guidance, Inflation (cosmology), Context (archaeology), Interest rate, Quantitative easing

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