The learning cost of interest rate reversals

Many central banks in many time periods have sought to avoid interest rate reversals, but at present there is no good explanation of this phenomenon. Our analysis identifies a new learning cost associated with reversing the interest rate. In a standard monetary model with forward-looking expectations, data uncertainty and parameter uncertainty, a policy that frequently reverses the interest rate makes learning the key parameters of the model more difficult. Optimal monetary policy internalises this learning cost and therefore has a lower number of interest rate reversals.     

Monetary Policy and the Natural Rate of Interest

It is most important for monetary policy to track the natural rate of interest when interest rates take large and sustained swings away from their long‐run equilibrium values. Here, we study two models: a standard New Keynesian model and one in which government bonds provide liquidity. Policy rules that cannot track the natural rate perform poorly in both models, but are especially bad in the second because of sustained movements in the natural rate induced by fiscal shocks. First difference rules, on the other hand, do surprisingly well. When model uncertainty is taken into account, the dominance of the first difference rule is even more pronounced.     

Learnability and monetary policy: A global perspective

The recent literature on monetary policy design has emphasized the importance of equilibrium determinacy and learnability in the choice of policy rules. This paper contains an analysis of the learnability of the equilibrium in a class of simple, micro-founded models in which the policy authority uses a Taylor-type monetary policy rule. Unlike previous analyses, the model economy is not linearized about a steady state—instead, a global perspective is adopted. Globally, the nonlinear model economy can possess rational expectations equilibria other than the steady state consistent with the inflation target of the monetary authorities. These include a second, low inflation ‘liquidity trap’ steady state, periodic equilibria, and sunspot equilibria. The main results in the paper characterize the conditions under which these alternative equilibria maybe stable under adaptive learning, even when the policy rule obeys the Taylor principle. The stability of multiple equilibria is associated with policy rules which are forecast-based. An important finding is that backward-looking Taylor-type policy rules can guarantee that the unique learnable equilibrium is the steady state associated with the inflation target of the monetary authority.     

Unstable Inflation Targets

This paper studies long‐run inflation targets and stability in an imperfect information environment. When central banks set an inflation target that is not fully communicated, agents draw inferences about inflation from recent data and remain alert to structural change by forming expectations from a forecasting model that is estimated via discounted least squares. Inflation targets can lead agents' beliefs to depart from rational expectations through two channels. First, implementing a higher inflation target can lead to overshooting. Second, there can be nearly self‐fulfilling inflation, disinflation, or deflation that arises as an endogenous response to shocks. Policy implications for implementing a higher target without deanchoring expectations are discussed.     

Asymmetric Preferences and the Stability Problem for Optimal Monetary Policy Rules

This paper evaluates the stability properties of optimal monetary policy rules when professionals under adaptive learning have asymmetric preferences. The asymmetric preferences require volatility estimates in real time. An expectations‐based rule can stabilize the economy, while a fundamentals‐based rule leads to instability.     

When Preferences for a Stable Interest Rate Become Self‐Defeating

Monetary policymakers often seem to have preferences for a stable interest rate, in addition to stable inflation and output. In this paper, we investigate the implications of having an interest rate level term in the loss function when the policymaker lacks commitment technology. We show that such preferences may become self‐defeating, in the sense that they generate a less stable interest rate than in the case without preferences for interest rate stability.     

Do Central Bank Forecasts Influence Private Agents? Forecasting Performance versus Signals

Focusing on a set of central banks that publish inflation forecasts in real time, this paper aims to establish whether central bank inflation forecasts influence private inflation forecasts. The response is positive in the five countries studied: Sweden, the United Kingdom, Canada, Switzerland, and Japan. Three hypotheses may explain this central bank influence: central bank forecasts are more accurate than private ones, are based on different information sets, and/or convey signals about future policy decisions and policymakers’ preferences and objectives. We provide evidence that the source of these central banks’ influence is not linked to their forecasting performance.     

Should the Federal Reserve Pay Competitive Interest on Reserves?

In 2008, the Federal Reserve began paying interest on reserves. How should the Fed use this new policy instrument? As the Fed reduces its balance sheet, should it continue to satiate reserve demand and pay competitive interest on reserves? Here, we argue that this may be an inefficient use of the new policy instrument. Using a standard Dynamic Stochastic General Equilibrium model (DSGE), augmented to include a banking sector and an interbank market, our benchmark calibration implies an optimal tax on reserves of about 20 to 40 basis points in the steady state, and a fluctuating tax rate in response to shocks.     

Adaptive learning, forecast-based instrument rules and monetary policy

This paper argues that recently popular forecast-based instrument rules for monetary policy may fail to stabilize economic fluctuations. In a New Keynesian model of output gap and inflation determination in which private agents face multi-period decision problems, but have non-rational expectations and learn over time, if the monetary authority adopts a forecast-based instrument rule and responds to observed private forecasts then this class of policies frequently induce divergent learning dynamics. A central bank that correctly understands private behavior can mitigate such instability by responding to the determinants of private forecasts. This suggests gathering information on the determinants of expectations to be useful.     

Changes in the Federal Reserve Communication Strategy: A Structural Investigation

This paper structurally investigates the changes in the Fed's communication strategy since the mid‐1990s through the lens of anticipated and unanticipated disturbances to a Taylor rule. The anticipated disturbances are identified using Treasury bond yield data in estimating a dynamic stochastic general equilibrium (DSGE) model with a term structure of interest rates. Our estimation results show that the Fed's decisions were unanticipated for market participants until 1999, but thereafter a larger portion of its future policy actions tended to be communicated in advance. We also find that the relative contribution of the anticipated monetary policy disturbances to macroeconomic fluctuations became larger after 1999. The bond yield data is indispensable to these results, since it contains crucial information on an expected future path of the federal funds rate.     

Phillips Curve Instability and Optimal Monetary Policy

Empirical evidence suggests the Phillips curve has flattened over the past few decades. To capture this feature of the data, I develop a framework where firms face a changing cost of price adjustment, which produces a Phillips curve with a slope coefficient that varies over time. To evaluate the implications for monetary policy, I construct the utility‐based welfare criterion where the relative weight on output gap deviations changes synchronously with the slope of the Phillips curve. The systematic component of the rule that implements optimal policy is constant under discretion and commitment.     

Power‐Sharing in Monetary Policy Committees: Evidence from the United Kingdom and Sweden

Committees may make better monetary policy decisions than individuals; however, the benefits of group decision making could be lost if committee members cede power to a chairman. We develop an econometric model to describe intracommittee power‐sharing across members. Estimation of the model permits us to classify monetary policy committees into the typology developed by Blinder ( 2004 , 2007 ). We estimate our model for the United Kingdom's Bank of England (BOE) and Sweden's Riksbank. Results for the BOE suggest that the Governor has little influence over other committee members, while those for the Riksbank indicate that the Governor is highly influential.     

Bidding behavior in the SNB’s repo auctions

The Swiss National Bank (SNB) provides reserves to market participants via fixed rate tender auctions. We analyze the banks’ bidding behavior and identify the determinants for the decision to participate as well as on the amount to tender. We find that a bank’s bids from the previous day, the amount of maturing repo operations with the SNB as well as the maturing volume on the interbank repo market have for most banks a significant effect. The autonomous factors (government balances at the SNB and currency in circulation) are of only minor importance. A further determinant is the attractiveness of the SNB’s auction rate compared to the prevailing interbank market repo rate. Further, the question is addressed whether the bidding behavior changed in the financial market crisis of 2007/2008. There is little evidence of a systematic change in bidding behavior in the crisis. This results from the fact that the SNB has addressed the volatile demand for reserves in the crisis with overnight fine-tuning operations.