Accessible Version
Accessible Version of Figures
Figure 1. Central Bank Assets
Date | Federal Reserve | European Central Bank | Bank of England | Bank of Japan | Swiss National Bank |
---|---|---|---|---|---|
2007:Q1 | 6.09 | 12.56 | 5.46 | 21.91 | 19.53 |
2007:Q2 | 5.98 | 12.93 | 5.39 | 19.47 | 19.2 |
2007:Q3 | 6.09 | 13.24 | 6.56 | 21.76 | 19.29 |
2007:Q4 | 6.06 | 15.77 | 6.74 | 21.7 | 21.67 |
2008:Q1 | 6.08 | 14.44 | 6.44 | 22.16 | 21.48 |
2008:Q2 | 6.01 | 15.18 | 6.01 | 20.15 | 22.88 |
2008:Q3 | 8.2 | 15.85 | 9.09 | 22.76 | 27.14 |
2008:Q4 | 15.48 | 22.07 | 16.12 | 25.5 | 36.13 |
2009:Q1 | 14.43 | 19.62 | 12.38 | 26.52 | 40.82 |
2009:Q2 | 14.12 | 21.65 | 14.94 | 23.22 | 41.44 |
2009:Q3 | 14.83 | 19.3 | 15.18 | 24.76 | 34.96 |
2009:Q4 | 15.29 | 20.38 | 15.67 | 25.75 | 35.01 |
2010:Q1 | 15.65 | 20.17 | 16.28 | 25.34 | 34.91 |
2010:Q2 | 15.59 | 22.65 | 16.04 | 23.39 | 49.94 |
2010:Q3 | 15.2 | 20.6 | 15.69 | 24.77 | 46.93 |
2010:Q4 | 15.88 | 20.77 | 15.58 | 26.91 | 44.07 |
2011:Q1 | 17.15 | 19.8 | 15.01 | 30.41 | 44.78 |
2011:Q2 | 18.47 | 20.2 | 14.69 | 27.77 | 41.65 |
2011:Q3 | 18.22 | 23.38 | 14.95 | 28.93 | 61.81 |
2011:Q4 | 18.46 | 27.89 | 17.74 | 29.98 | 55.82 |
2012:Q1 | 17.99 | 30.22 | 20.29 | 29.02 | 54.72 |
2012:Q2 | 17.73 | 31.59 | 21.87 | 30.3 | 69.9 |
2012:Q3 | 17.21 | 31.31 | 23.93 | 31.8 | 80.37 |
2012:Q4 | 17.75 | 30.12 | 24.62 | 33.41 | 79.53 |
2013:Q1 | 19.36 | 26.89 | 23.94 | 34.4 | 81.39 |
2013:Q2 | 20.85 | 24.51 | 23.53 | 38.95 | 77.02 |
2013:Q3 | 22.01 | 23.52 | 23.33 | 43.42 | 77.53 |
2013:Q4 | 23.61 | 22.74 | 23 | 46.36 | 76.49 |
2014:Q1 | 24.72 | 21.42 | 22.88 | 49.36 | 76.88 |
2014:Q2 | 25.06 | 20.74 | 22.62 | 52.88 | 78.7 |
2014:Q3 | 25.25 | 20.19 | 22.41 | 57.2 | 80.27 |
2014:Q4 | 25.41 | 21.31 | not available | 61.61 | not available |
Table 1. Empirical Studies of LSAPs
Research Paper | Estimated Decline in 10-Year Treasury Yield (Basis points) |
---|---|
QE1: 12/5/2008-3/31/2010($1.25 trillion MBS purchases, $300 billion Treasury security purchases, $172 billion agency debt security purchases) | |
Gagnon et al. (2011) | 91 (Event Studies); 36 to 82 (Regressions) |
Krishnamurthy and Vissing-JØrgensen (2011) | 100 |
D'Amico and King (2013) | 20 to 30 (Treasury security purchases only) |
D'Amico et al. (2012) | 35 (Treasury security purchases only) |
QE2: 11/12/2010-6/30/2011 ($600 billion Treasury security purchases) | |
Krishnamurthy and Vissing-JØrgensen (2011) | 25 |
D'Amico et al. (2012) | 55 |
Meaning and Zhu (2011) | 21 |
Swanson (2011) | 15 |
Maturity Extension Program: 10/3/2011-12/30/2012 ($667 billion Treasury security purchases, $667 billion Treasury security sales/maturities) | |
Hamilton and Wu (2012) | 22 |
Meaning and Zhu (2012) | 17 |
QE3: 9/14/2012-10/31/2014 ($823 billion MBS purchases, $790 billion Treasury security purchases) | |
Engen, Laubach, and Reifschneider (2015) | 60 |
Figure 2. Effect of Balance Sheet Operations on the 10-Year Treasury Term Premium
Date | Estimate of the path of the Treasury term premium effect | Lower bound of 90 percent confidence interval | Upper bound of 90 percent confidence interval |
---|---|---|---|
2015:Q1 | -109.2299 | -82.2141 | -136.2457 |
2015:Q2 | -104.0844 | -77.8713 | -130.2975 |
2015:Q3 | -99.0434 | -73.668 | -124.4188 |
2015:Q4 | -94.0975 | -69.5999 | -118.5951 |
2016:Q1 | -89.3112 | -65.7107 | -112.9117 |
2016:Q2 | -84.7412 | -62.0104 | -107.472 |
2016:Q3 | -80.3896 | -58.5006 | -102.2786 |
2016:Q4 | -76.2455 | -55.1734 | -97.3176 |
2017:Q1 | -72.2943 | -52.0159 | -92.5727 |
2017:Q2 | -68.5179 | -49.0129 | -88.0229 |
2017:Q3 | -64.955 | -46.2017 | -83.7083 |
2017:Q4 | -61.5877 | -43.5663 | -79.6091 |
2018:Q1 | -58.4427 | -41.1283 | -75.7571 |
2018:Q2 | -55.4566 | -38.831 | -72.0822 |
2018:Q3 | -52.6556 | -36.6978 | -68.6134 |
2018:Q4 | -50.025 | -34.7143 | -65.3357 |
2019:Q1 | -47.5347 | -32.8529 | -62.2165 |
2019:Q2 | -45.1792 | -31.1085 | -59.2499 |
2019:Q3 | -42.9514 | -29.4744 | -56.4284 |
2019:Q4 | -40.8348 | -27.9347 | -53.7349 |
2020:Q1 | -38.8436 | -26.5006 | -51.1866 |
2020:Q2 | -36.9815 | -25.175 | -48.788 |
2020:Q3 | -35.2454 | -23.9543 | -46.5365 |
2020:Q4 | -33.622 | -22.8256 | -44.4184 |
2021:Q1 | -32.117 | -21.7925 | -42.4415 |
2021:Q2 | -30.712 | -20.8386 | -40.5854 |
2021:Q3 | -29.4119 | -19.9676 | -38.8562 |
2021:Q4 | -28.2031 | -19.1667 | -37.2395 |
2022:Q1 | -27.067 | -18.4189 | -35.7151 |
2022:Q2 | -26.0094 | -17.7298 | -34.289 |
2022:Q3 | -24.9896 | -17.0636 | -32.9156 |
2022:Q4 | -23.918 | -16.3421 | -31.4939 |
2023:Q1 | -22.8124 | -15.5822 | -30.0426 |
2023:Q2 | -21.6709 | -14.784 | -28.5578 |
2023:Q3 | -20.5382 | -13.988 | -27.0884 |
2023:Q4 | -19.3806 | -13.1652 | -25.596 |
2024:Q1 | -18.2256 | -12.3408 | -24.1104 |
2024:Q2 | -17.0846 | -11.5258 | -22.6434 |
2024:Q3 | -15.9591 | -10.7221 | -21.1961 |
2024:Q4 | -14.8651 | -9.9443 | -19.7859 |
2025:Q1 | -13.7964 | -9.187 | -18.4058 |
2025:Q2 | -12.7389 | -8.4386 | -17.0392 |
2025:Q3 | -11.7108 | -7.7156 | -15.706 |
2025:Q4 | -10.7037 | -7.0108 | -14.3966 |
Note: Shaded area indicates 90 percent confidence interval. A straight, horizontal dashed line indicating the zero basis point level runs across the quarterly periods from 2015 through 2025 on the X-axis of the figure.
Source: Li and Wei (2013) and Ihrig et al. (2012). The full references for these papers are as follows: Li, Canlin, and Min Wei (2013). "Term Structure Modeling with Supply Factors and the Federal Reserve's Large-Scale Asset Purchase Programs (PDF)," International Journal of Central Banking, vol.9 (March), pp. 3-39; and Ihrig, Jane, Elizabeth Klee, Canlin Li, Brett Schulte, and Min Wei (2012). "Expectations about the Federal Reserve's Balance Sheet and the Term Structure of Interest Rates (PDF)," Finance and Economics Discussion Series 2012-57 (Washington: Board of Governors of the Federal Reserve System, July).
Figure 3. Estimated Effects of Unconventional Monetary Policies in the FRB/US Model (Unemployment)
Date | Unemployment |
---|---|
2008:Q1 | 0 |
2008:Q2 | 0 |
2008:Q3 | 0 |
2008:Q4 | 0 |
2009:Q1 | 0 |
2009:Q2 | 0 |
2009:Q3 | 0 |
2009:Q4 | -0.02 |
2010:Q1 | -0.05 |
2010:Q2 | -0.08 |
2010:Q3 | -0.1 |
2010:Q4 | -0.14 |
2011:Q1 | -0.17 |
2011:Q2 | -0.21 |
2011:Q3 | -0.24 |
2011:Q4 | -0.3 |
2012:Q1 | -0.36 |
2012:Q2 | -0.43 |
2012:Q3 | -0.51 |
2012:Q4 | -0.59 |
2013:Q1 | -0.66 |
2013:Q2 | -0.75 |
2013:Q3 | -0.84 |
2013:Q4 | -0.94 |
2014:Q1 | -1.02 |
2014:Q2 | -1.09 |
2014:Q3 | -1.14 |
2014:Q4 | -1.18 |
2015:Q1 | -1.19 |
2015:Q2 | -1.19 |
2015:Q3 | -1.17 |
2015:Q4 | -1.13 |
2016:Q1 | -1.09 |
2016:Q2 | -1.03 |
2016:Q3 | -0.97 |
2016:Q4 | -0.9 |
2017:Q1 | -0.83 |
2017:Q2 | -0.76 |
2017:Q3 | -0.69 |
2017:Q4 | -0.61 |
2018:Q1 | -0.55 |
2018:Q2 | -0.48 |
2018:Q3 | -0.42 |
2018:Q4 | -0.36 |
Note: The estimated stimulus provided by the FOMC's forward guidance and asset purchases is measured as the difference between the actual evolution of the economy since early 2009 and the course of the economy predicted by counterfactual simulations, assuming the Federal Reserve did not undertake its unconventional monetary policy actions while allowing the same perceived economic shocks to aggregate spending and other fundamental factors to unfold as they did. For unemployment, a straight, horizontal dashed line indicating the zero basis point level runs across the quarterly periods from 2008 through 2018 on the X-axis of the figure.
Source: Engen, Laubach, and Reifschneider (2015). The full reference for this paper is Engen, Eric, Thomas Laubach, and David Reifschneider (2015). "The Macroeconomic Effects of the Federal Reserve's Unconventional Monetary Policies (PDF)," Finance and Economics Discussion Series 2015-005 (Washington: Board of Governors of the Federal Reserve System, January).
Figure 3. Estimated Effects of Unconventional Monetary Policies in the FRB/US Model (Inflation)
Date | Inflation |
---|---|
2008:Q1 | 0 |
2008:Q2 | 0 |
2008:Q3 | 0 |
2008:Q4 | 0 |
2009:Q1 | 0 |
2009:Q2 | 0 |
2009:Q3 | 0 |
2009:Q4 | 0 |
2010:Q1 | 0 |
2010:Q2 | 0.01 |
2010:Q3 | 0.02 |
2010:Q4 | 0.03 |
2011:Q1 | 0.03 |
2011:Q2 | 0.04 |
2011:Q3 | 0.05 |
2011:Q4 | 0.07 |
2012:Q1 | 0.08 |
2012:Q2 | 0.1 |
2012:Q3 | 0.13 |
2012:Q4 | 0.15 |
2013:Q1 | 0.18 |
2013:Q2 | 0.21 |
2013:Q3 | 0.25 |
2013:Q4 | 0.28 |
2014:Q1 | 0.32 |
2014:Q2 | 0.35 |
2014:Q3 | 0.38 |
2014:Q4 | 0.4 |
2015:Q1 | 0.42 |
2015:Q2 | 0.43 |
2015:Q3 | 0.44 |
2015:Q4 | 0.45 |
2016:Q1 | 0.45 |
2016:Q2 | 0.45 |
2016:Q3 | 0.45 |
2016:Q4 | 0.45 |
2017:Q1 | 0.45 |
2017:Q2 | 0.44 |
2017:Q3 | 0.43 |
2017:Q4 | 0.42 |
2018:Q1 | 0.41 |
2018:Q2 | 0.4 |
2018:Q3 | 0.38 |
2018:Q4 | 0.36 |
Note: The estimated stimulus provided by the FOMC's forward guidance and asset purchases is measured as the difference between the actual evolution of the economy since early 2009 and the course of the economy predicted by counterfactual simulations, assuming the Federal Reserve did not undertake its unconventional monetary policy actions while allowing the same perceived economic shocks to aggregate spending and other fundamental factors to unfold as they did.
Source: Engen, Laubach, and Reifschneider (2015). The full reference for this paper is Engen, Eric, Thomas Laubach, and David Reifschneider (2015). "The Macroeconomic Effects of the Federal Reserve's Unconventional Monetary Policies (PDF)," Finance and Economics Discussion Series 2015-005 (Washington: Board of Governors of the Federal Reserve System, January).
Figure 4. SOMA Maturities
Year | Cumulative SOMA maturities (Billions of dollars, annual) | Annual SOMA Maturities (Billions of dollars) |
---|---|---|
2015 | 285 | 285 |
2016 | 694 | 409 |
2017 | 1037 | 344 |
2018 | 1530 | 493 |
2019 | 1966 | 436 |
2020 | 2284 | 318 |
2021 | 2553 | 269 |
2022 | 2814 | 261 |
2023 | 2979 | 165 |
2024 | 3073 | 93 |
2025 | 3157 | 85 |
Note: System Open Market Account (SOMA) security holdings are as of 12/31/2014. The underlying mortgage-backed securities paydown path reflects current Federal Reserve holdings, Blue Chip interest rate forecasts, and the Richard and Roll (1989) prepayment model. The full reference for the paper is Richard, Scott F., and Richard Roll (1989). "Prepayments on Fixed-Rate Mortgage-Backed Securities," Journal of Portfolio Management, vol. 15 (Spring), pp. 73-82.
Source: Federal Reserve Bank of New York and Blue Chip Economic Indicators.