Eric T. Swanson

The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models

Current macroeconomic models provide appealing, succinct descriptions of business cycle dynamics in the United States and other countries, but less is known about the extent to which these models accurately replicate the economy’s long-run characteristics. In part, this reflects that economists have far fewer observations about long-run behavior, given the limited sample sizes available. But while less is known about the long-run characteristics of the economy, many macroeconomic models impose very strong assumptions about this behavior— that the long-run levels of inflation and the real interest rate are constant over time and perfectly known by all economic agents. This paper empirically tests those assumptions and proposes alternative ones. Specifically, we focus on the effects of macroeconomic and monetary policy surprises on the term structure of interest rates. In many standard macroeconomic models, short-term interest rates tend to return relatively quickly to a deterministic steady state after a macroeconomic or monetary policy shock, so that these shocks have only transitory effects on the future path of interest rates. As a result, one would expect only a limited response of long-term interest rates to these disturbances. Putting this prediction in terms of forward rates, one would expect virtually no reaction of far-ahead forward rates to such shocks. The behavior of the U.S. yield curve appears, however, to contrast sharply with these predictions. In particular, we demonstrate that longterm forward rates move significantly in response to the unexpected components of many macroeconomic data releases and monetary policy announcements. We interpret these findings as indicating that an assumption made in these models—that the long-run expectations of economic agents are precise and time-invariant—is violated. In particular, our empirical results are all consistent with a model that we present in which private agents’ views of long-run inflation are not strongly anchored.

Market-Based Measures of Monetary Policy Expectations

A number of recent papers have used different financial market instruments to measure near-term expectations of the federal funds rate and the high-frequency changes in these instruments around FOMC announcements to measure monetary policy shocks. This paper evaluates the empirical success of a variety of financial market instruments in predicting the future path of monetary policy. All of the instruments we consider provide forecasts that are clearly superior to those of standard time series models at all of the horizons considered. Among financial market instruments, we find that federal funds futures dominate all the other securities in forecasting monetary policy at horizons out to six months. For longer horizons, the predictive power of many of the instruments we consider is very similar. In addition, we present evidence that monetary policy shocks computed using the current-month federal funds futures contract are influenced by changes in the timing of policy actions that do not influence the expected course of policy beyond a horizon of about six weeks. We propose an alternative shock measure that captures changes in market expectations of policy over slightly longer horizons.

Let's Twist Again: A High-Frequency Event-Study Analysis of Operation Twist and Its Implications for QE2

This paper undertakes a modern event-study analysis of Operation Twist and uses its estimated effects to assess what should be expected for the recent policy of quantitative easing by the Federal Reserve, dubbed “QE2.” The paper first shows that Operation Twist and QE2 are similar in magnitude. It then identifies six significant, discrete announcements in the course of Operation Twist that could have had a major effect on financial markets and shows that four did have statistically significant effects. The cumulative effect of these six announcements on longer-term Treasury yields is highly statistically significant but moderate, amounting to about 15 basis points (bp). This estimate is consistent both with time-series analysis undertaken not long after the event and with the lower end of empirical estimates of Treasury supply effects in the literature. The effects of Operation Twist on long-term agency and corporate bond yields are also statistically significant but smaller, about 13 bp for agency securities and 2 to 4 bp for corporates. Thus, the effects of Operation Twist seem to diminish substantially as one moves from Treasury securities toward private sector credit instruments.

Does Inflation Targeting Anchor Long-Run Inflation Expectations? Evidence from Long-Term Bond Yields in the U.S., U.K. and Sweden

We investigate the extent to which inflation targeting helps anchor long-run inflation expectations by comparing the behaviour of daily bond yield data in the United Kingdom and Sweden—both inflation targeters—to that in the United States, a non-inflation-targeter. Using the difference between far-ahead forward rates on nominal and inflation-indexed bonds as a measure of compensation for expected inflation and inflation risk at long horizons, we examine how much, if at all, far-ahead forward inflation compensation moves in response to macroeconomic data releases and monetary policy announcements. In the U.S., we find that forward inflation compensation exhibits highly significant responses to economic news. In the U.K., we find a level of sensitivity similar to that in the U.S. prior to the Bank of England gaining independence in 1997, but a striking absence of such sensitivity since the central bank became independent. In Sweden, we find that inflation compensation has been insensitive to economic news over the whole period for which we have data. We show that these observations are also matched by the relative means and volatilities of the time series of far-ahead forward inflation compensation in these three countries. Our findings support the view that a well-known and credible inflation target helps anchor the private sector’s views regarding the distribution of long-run inflation outcomes.

Identifying VARs Based on High Frequency Futures Data

Using the prices of federal funds futures contracts, we measure the impact of the surprise component of Federal Reserve policy decisions on the expected future trajectory of interest rates. We show how this information can be used to identify the effects of a monetary policy shock in a standard monetary policy VAR. This constitutes an alternative approach to identification that is quite different, and, we would argue, more plausible, than the conventional short-run restrictions. We find that the usual recursive identification of the model is rejected, but we nevertheless agree with the literatures conclusion that only a small fraction of the variance of output can be attributed to monetary policy shocks.

Have Increases in Federal Reserve Transparency Improved Private Sector Interest Rate Forecasts

Yes. This paper shows that, since the late 1980s, U.S. financial markets and private sector forecasters have become (1) better able to forecast the federal funds rate at horizons out to several months, (2) less surprised by Federal Reserve announcements, (3) more certain of their interest rate forecasts ex ante, as measured by interest rate options, and (4) less diverse in the cross-sectional variety of their interest rate forecasts. We also present evidence that strongly suggests increases in Federal Reserve transparency played a role: for example, private sector forecasts of GDP and inflation have not experienced similar improvements over the same period, indicating that the improvement in interest rate forecasts has been special.

Macroeconomic Implications of Changes in the Term Premium

Linearized New Keynesian models and empirical no-arbitrage macro-finance models offer little insight regarding the implications of changes in bond term premiums for economic activity. We investigate these implications using both a structural model and a reduced-form framework. We show that there is no structural relationship running from the term premium to economic activity, but a reduced-form empirical analysis does suggest that a decline in the term premium has typically been associated with stimulus to real economic activity, which contradicts earlier results in the literature.

Convergence and Anchoring of Yield Curves in the Euro Area

We study the convergence of European bond markets and the anchoring of inflation expectations in the euro area using high-frequency bond yield data for France, Germany, Italy, and Spain as well as smaller euro area countries and a control group comprising the UK, Denmark, and Sweden. We find that Economic and Monetary Union (EMU) has led to substantial convergence in euro area sovereign bond markets in terms of interest rate levels, unconditional daily fluctuations, and conditional responses to major macroeconomic announcements. Our findings also suggest a substantial increase in the anchoring of long-term inflation expectations since EMU, particularly for Italy and Spain, which have seen their long-term interest rates become much lower, much less volatile, and much better anchored in response to news. Finally, we present evidence that the elimination of exchange rate risk and the adoption of a common monetary policy were the primary drivers of bond market convergence in the euro area, as opposed to fiscal policy restraint and the loose exchange rate peg of the 1990s. JEL no: E52, E58

Identifying the Effects of Monetary Policy Shocks on Exchange Rates Using High Frequency Data

This paper proposes a new approach to identifying the effects of monetary policy shocks in an international vector autoregression. Using high-frequency data on the prices of Fed Funds futures contracts, we measure the impact of the surprise component of the FOMC-day Federal Reserve policy decision on financial variables, such as the exchange rate and the foreign interest rate. We show how this information can be used to achieve identification without having to make the usual strong assumption of a recursive ordering.

Higher-order perturbation solutions to dynamic, discrete-time rational expectations models

We present an algorithm and software routines for computing nthorder Taylor series approximate solutions to dynamic, discrete-time rational expectations models around a nonstochastic steady state. The primary advantage of higher-order (as opposed to first- or secondorder) approximations is that they are valid not just locally, but often globally (i.e., over nonlocal, possibly very large compact sets) in a rigorous sense that we specify. We apply our routines to compute first- through seventh-order approximate solutions to two standard macroeconomic models, a stochastic growth model and a life-cycle consumption model, and discuss the quality and global properties of these solutions.