Macro Paper Warehouse
Published Classic [Brookings Papers on Economic Activity] doi:10.1353/eca.2005.0002 Vol. 2004, No. 2, pp. 1-78

Monetary Policy Alternatives at the Zero Bound: An Empirical Assessment

Ben S. Bernanke

Vincent R. Reinhart

Brian P. Sack

📄 Summarized from the full manuscript · Human-reviewed for faithfulness before publication

In brief

When the policy rate is near zero, do a central bank's other tools still work? This 2004 paper looks for evidence in market prices. Around 116 Federal Reserve decisions from 1991 to 2004, the wording of the statement, rather than the rate change itself, accounts for roughly four-fifths of the movement in expected rates a year ahead. Bond purchases and shifts in what the bank holds appear to move long yields too, in the United States and Japan, but the authors call this evidence indirect and quite uncertain. It matters because their bottom line is to avoid the zero bound in the first place.

What this paper finds — and why it matters

This 2004 Brookings Papers on Economic Activity paper by Ben Bernanke, Vincent Reinhart, and Brian Sack asks whether “nonstandard” monetary policies can still work once the short-term policy rate is at or near the zero lower bound (ZLB), applying “the methods of modern empirical finance” to the recent US and Japanese experience rather than relying on theory alone. The authors group nonstandard policies into three classes — using communications to shape expected future policy, increasing the size of the central bank’s balance sheet (quantitative easing), and changing its composition (targeted asset purchases) — and use two complementary empirical strategies to assess each. For communications, a one-hour event study around 116 FOMC decisions (July 1991-2004) decomposes market reactions via a Cholesky factorization into a “current policy surprise” factor and a second “path” factor tied to the wording of the post-meeting statement; the path factor turns out to dominate, accounting for roughly four-fifths of the variance of the year-ahead Eurodollar futures rate (versus about one-fifth for the current-surprise factor) and 68 percent of the variance of the five-year Treasury yield, and the “considerable period” language introduced in August 2003 roughly tripled the ten-year yield’s sensitivity to payroll surprises (from about 4 to about 11 basis points per 100,000 jobs). For quantity/composition effects, a five-factor no-arbitrage affine term-structure VAR (estimated on macro and policy factors, monthly 1982-2004) generates a counterfactual yield-curve benchmark, against which the paper attributes the 1999-2002 Treasury debt buyback with pushing the twenty-year yield from about 20 basis points above to about 80 basis points below the model’s prediction (bootstrap probability under 10 percent), concentrated at the long end with only limited evidence of pass-through to swap spreads at short maturities. Extending the analysis to Japan (110 BOJ decisions since independence in April 1998, two-day windows given data limitations), the paper finds little evidence the BOJ used statements to move near-term policy expectations the way the Fed did, but some evidence that quantitative-easing and current-account-balance-target surprises moved the Nikkei (3-6 percent on several occasions) and that a four-factor term-structure model — adjusted by simulation to respect the ZLB — implies actual JGB yields ran persistently below model predictions after the 1999 zero-interest-rate policy and 2001 quantitative easing, with the gap widening over time. The authors describe their overall evidence as “to some degree indirect,” since the US policy rate never actually fell below roughly 100 basis points during the sample, and caution that the size and reliability of quantity/composition effects remain “quite uncertain” and subject to identification problems (for example, the 2003 “deflation scare” episode overlapping with anticipated Treasury purchases); their bottom-line policy recommendation is that central banks are best off avoiding the ZLB altogether by maintaining an inflation buffer and easing preemptively.

Summary of a classic paper, AI-assisted and human-reviewed. See the linked original for the authoritative claims and full conditions.


Questions & answers

Q1. What question does the paper ask, and how does it propose to answer it?

The paper asks whether “nonstandard” monetary policies remain effective once the short-term policy rate is at or near the zero lower bound, and answers empirically — using “the methods of modern empirical finance” — rather than relying on theory alone, drawing on the recent experience of the United States and Japan. It organizes nonstandard policy into three classes, following Bernanke and Reinhart (2004): (1) using communications to shape expectations about the future path of the policy rate; (2) increasing the size of the central bank’s balance sheet (quantitative easing); and (3) changing the composition of the balance sheet (targeted asset purchases). Two complementary empirical strategies are used throughout: an event-study/factor-decomposition approach for communications, and a no-arbitrage affine term-structure model for quantity and composition effects.

Q2. How does the US event study identify the effect of Fed communications, and which factor turns out to matter most?

A Cholesky decomposition of three market-based indicators around 116 FOMC decisions (July 1991-2004, one-hour windows from 15 minutes before to 45 minutes after the announcement) separates a “current policy surprise” factor from a second “path” factor tied to the statement’s language, and the path factor dominates: it explains roughly four-fifths of the variance of the year-ahead Eurodollar futures rate (versus about one-fifth for the current-surprise factor) and 68% of the variance of the five-year Treasury yield (with the current-surprise factor at 12% and a third factor at 20%) (Table 1, p. 30). This confirms the two-factor finding of Gürkaynak, Sack, and Swanson. Statements that were surprising raised the variance of the path factor sharply — about 196 basis points versus about 42 basis points when the statement was as expected (Table 2, p. 34) — and signed surprises moved year-ahead policy expectations by about 12 basis points on average (16 basis points for path surprises specifically), with a hawkish statement raising the five-year yield by roughly 8 basis points (10 for a path surprise), holding the current-policy surprise fixed (Table 3, pp. 36-37).

Q3. What does the “considerable period” episode show about how forward-guidance language changes market behavior?

After the Fed introduced “considerable period” language in August 2003, the ten-year Treasury yield’s sensitivity to payroll surprises roughly tripled, from about 4 basis points per 100,000 jobs (August 1991-August 2003) to about 11 basis points per 100,000 jobs (September 2003-August 2004) (Figure 2, p. 39). Using the term-structure model, the authors compute an implied upper-bound effect of the “considerable period” language on the yield curve itself, ranging from about 25 basis points at the two-year horizon to about 7 basis points at the ten-year horizon, based on VAR shocks that lowered the Eurodollar futures rate by 63 basis points (Figure 5, p. 49).

Q4. How does the no-arbitrage term-structure model isolate “quantity/composition” effects, and what does the 1999-2002 Treasury buyback show?

A five-factor no-arbitrage affine term-structure model (a VAR with 4 lags, monthly, June 1982-2004, driven by the employment gap, core PCE inflation, expected inflation, the federal funds rate, and the year-ahead Eurodollar futures rate) generates a counterfactual benchmark for the yield curve given macro conditions and the stance of policy; residual deviations of actual from predicted yields are then attributed to factors outside the model, such as relative-supply effects. Applied to the 1999-2002 Treasury debt buyback, the twenty-year yield fell from about 20 basis points above to about 80 basis points below the model’s benchmark, with a bootstrap ex ante probability under 10% (statistically significant); the effect was concentrated at the long end with no material effect at short maturities, and 30-year swap spreads widened while 2-year spreads did not — suggesting limited pass-through of the supply effect to private-sector rates (Figures 6-8 and Table 6, pp. 52-55).

Q5. What evidence do the authors find on relative-supply effects from the Japanese Ministry of Finance’s dollar purchases and the 2003 “deflation scare”?

Around Japanese Ministry of Finance foreign-exchange interventions (January 2000-March 2004), US two-, five-, and ten-year Treasury yields fell significantly — by about 0.78 to 0.83 basis points per $1 billion intervened on all days, and a smaller 0.55 to 0.66 basis points excluding major-data-release days — while T-bill yields were unaffected; five- and ten-year yields ran 50-100 basis points below model predictions over the period (Table 7, p. 57; Figure 9). Separately, during the May-June 2003 “deflation scare,” when targeted Treasury purchases were anticipated, term-structure model errors spiked down by about 50 basis points or more, reversing in July as the ten-year yield moved sharply around specific FOMC statements and Greenspan testimony (Table 8, p. 61); an illustrative put-option calculation suggests a commitment to buy the ten-year zero-coupon bond at a 5.5% yield one year hence would lower today’s ten-year rate by about 34 basis points, more than the 17 basis points by which the option is in the money, reflecting added convexity value (p. 62).

Q6. Did the Bank of Japan use communications to move expectations the way the Federal Reserve did?

No — the paper finds little evidence the BOJ used statements to move near-term (second-factor) policy expectations, calling this “the strongest and most important contrast” with the Federal Reserve (Tables 10-11, pp. 67-70). There is, however, some evidence that quantity and composition actions moved asset prices directly: surprise increases in the JGB-purchase target are associated with the five-year JGB yield falling by about 5 basis points (a small effect from few observations), and surprise increases in the current-account-balance target are associated with the Nikkei 500 rising 3-6% on three of six occasions, including a 5.9% rise on the day quantitative easing was announced (pp. 69-71).

Q7. What does the Japanese term-structure model imply about whether ZIRP and quantitative easing actually lowered long-term yields?

Even after imposing the zero lower bound by simulation (a shock pulls the policy rate back to zero whenever it would otherwise go negative), actual Japanese government bond yields ran below the levels the four-factor term-structure model predicted, and this gap widened after the zero-interest-rate policy began in February 1999 and again after quantitative easing began in March 2001 — giving the authors “some reason to believe that nonstandard policies in Japan have been effective at lowering longer-term interest rates” (Figures 10-11, pp. 73-76). The authors note this exercise “still has some shortcomings,” since the VAR dynamics and the pricing of risk may themselves change near the bound (fn. 91, p. 74).

Q8. What limitations and identification concerns do the authors themselves raise?

The authors call their evidence “to some degree indirect,” because the US policy rate “has remained at least 100 basis points above zero” throughout the sample, so the paper never observes a true US ZLB episode (pp. 25, 77). They describe the size and reliability of quantity/composition effects as “quantitatively quite uncertain,” stating that “considerable uncertainty remains about the size and reliability of these effects under the circumstances prevailing near the ZLB” and that they “cannot be sure that the effects shown here are scalable in a predictable manner” (pp. 5, 55). Specific identification problems include the 2003 deflation scare overlapping with the period of MOF purchases and independently conveying deflation-risk information (p. 60), and potential joint endogeneity in the intervention regressions (p. 57). The Japanese analysis additionally rests on a small sample and a coarser two-day event window (versus one hour for the US) because intraday Japanese data are scarce (pp. 63-69). Pass-through to private borrowing rates may also be limited, since 30-year swap spreads widened during the Treasury buyback and a put-option-style rate peg would not pass through to corporate yields unless Treasuries and corporates are close substitutes (pp. 55, 62).

Q9. What is the paper’s overall assessment, and what policy recommendation follows from it?

The authors conclude that the evidence — while “to some degree indirect” — generally supports the view that nonstandard policies would be effective at the zero lower bound: the Fed has used communications to affect expectations and longer-term yields, there is some evidence that relative asset supplies matter for US yields (a necessary condition for targeted asset purchases to work), and the Japanese term-structure results suggest longer-term yields were lower than otherwise expected under the zero-interest-rate policy and quantitative easing (Conclusion, pp. 77-78). Despite this, the authors say they “remain cautious about relying on such approaches” given the uncertainty documented above, and recommend that the best approach for a central bank is avoidance — maintaining a buffer against disinflation and easing preemptively so as to minimize the risk of reaching the zero lower bound in the first place (pp. 5, 77-78).

Key terms in this paper

Definitions below follow the paper's own usage.

Two-factor decomposition (current-policy-surprise factor vs. path factor)
this paper's method for separating what an FOMC (or BOJ) announcement reveals about the current policy rate from what it reveals about future policy. A Cholesky decomposition of three event-window market indicators yields factor 1 (the current policy surprise, from federal funds futures), factor 2 (the part of the year-ahead futures-rate change orthogonal to factor 1 — the "path" or statement factor), and factor 3 (the residual change in the five-year yield); for Japan a fourth, stock-index-based factor is added.
No-arbitrage affine term-structure model (as a counterfactual benchmark)
an Ang-Piazzesi-style model in which yields are affine functions of observable macro and policy factors with prices of risk linear in the state variables; the paper uses it not to test market efficiency but to generate a model-implied "normal" yield curve given prevailing macro conditions and policy stance, so that gaps between actual and model-predicted yields can be attributed to forces (like relative-supply changes) that lie outside the model.
Nonstandard monetary policy (three classes)
the paper's own taxonomy, following Bernanke and Reinhart (2004), for policy actions available once the short rate is near zero — (1) communications that shape expectations of the future policy path, (2) increasing the size of the central bank's balance sheet (quantitative easing), and (3) changing the balance sheet's composition (targeted asset purchases) — each assessed with different empirical tools in this paper.
Portfolio-balance / imperfect-substitutability channel
the mechanism the paper invokes to justify why composition effects (changes in the relative supply of long- versus short-term or other assets) can move term, risk, and liquidity premiums, following the Brainard-Tobin (1968) portfolio-balance logic; the paper contrasts this explicitly with the frictionless benchmark of Eggertsson and Woodford (2003), in which such supply operations would have no effect beyond the expectations channel.
Statement surprise / path surprise (classification)
dummy variables — STATEMENT, STATEMENT SURPRISE, PATH SURPRISE, and signed variants (plus JGB SURPRISE and CAB SURPRISE for Japan) — that the paper constructs by comparing FOMC/BOJ statement language against both before-the-fact sources (e.g., Money Market Services and ISI Group survey/commentary) and after-the-fact sources (e.g., Federal Reserve Bank of New York and Board staff analyses, the Wall Street Journal), specifically to avoid retrospective bias in judging what counted as a "surprise."
How this summary was made. Bibliographic fields are pulled from Crossref and OpenAlex and are not model-generated. The summary was drafted from the open-access manuscript , checked by a claim-grounding and calibration review pass, and approved before publishing. Found an error or a misrepresentation? Flag it here — corrections are welcome, especially from the authors.