Banque Nationale De Belgique Sa · EURONEXT:BNB
Banque Nationale De Belgique Sa — Technical Presentation (April 2014)
43 slides from Banque Nationale De Belgique Sa's technical presentation, Apr 28, 2014
Slide 1: Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero
Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero Jinill Kim and Seth Pruitt (Korea University and Federal Reserve Board) at NBB and DNB on April 28—29, 2014
Slide 2: Motivation
MOTIVATION • Policy Rules at the Zero Lower Bound — “between 0 and 25 bp” since December 2008 — how to estimate a policy rule when LHS is censored — especially when we suspect a policy change around the ZLB — use survey information as “artificial” or “synthetic” data -1-
Slide 3: Motivation: Personal Motivation
Motivation • Policy Rules at the Zero Lower Bound — “between 0 and 25 bp” since December 2008 — how to estimate a policy rule when LHS is censored — especially when we suspect a policy change around the ZLB — use survey information as “artificial” or “synthetic” data • Personal Motivation — Policy R
Slide 4: The Policy Outlook in an Uncertain Environment (Bluebook)
Class I FOMC - Restricted Controlled (FR) 20 of 43 Chart 7 The Policy Outlook in an Uncertain Environment FRB/US Model Simulations of Information from Financial Markets Estimated Outcome-Based Rule Percent Percent 11 11 11 11 Current Bluebook Expectations from forward contracts 10 Previous Bluebook
Slide 5: Motivation: Bernanke's 2010 Atlanta AEA speech
Motivation • Policy Rules at the Zero Lower Bound — “between 0 and 25 bp” since December 2008 — how to estimate a policy rule when LHS is censored — especially when we suspect a policy change around the ZLB — use survey information as “artificial” or “synthetic” data • Personal Motivation — Policy R
Slide 6: Monetary Policy and the Housing Bubble
Monetary Policy and the Housing Bubble by Jane Dokko Brian Doyle Michael Kiley Jinill Kim Shane Sherlund Jae Sim Skander van den Heuvel This discussion represents the views of the author(s) and should not be interpreted as reflecting those of the Board of Governors of the Federal Reserve System or a
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Slide 9: The Target Rate and the Taylor Rule Prescriptions
The Target Rate and the Taylor Rule Prescriptions 9 Using Real‐Time Inflation Forecasts 8 7 6 5 4 3 2 1 0 2000Q1 2001Q1 2002Q1 2003Q1 2004Q1 2005Q1 2006Q1 2007Q1 2008Q1 2009Q1 Target Rate Taylor Rule (output gap and headline CPI inflation as currently measured) Taylor Rule (output gap and forecast o
Slide 10: Motivation: Blue Chip survey
Motivation • Policy Rules at the Zero Lower Bound — “between 0 and 25 bp” since December 2008 — how to estimate a policy rule when LHS is censored — especially when we suspect a policy change around the ZLB — use survey information as “artificial” or “synthetic” data • Personal Motivation — Policy R
Slide 11: Blue Chip Economic Indicators
Blue Chip ® Economic Indicators Top Analysts’ Forecasts of the U.S. Economic Outlook for the Year Ahead Vol. 38, No. 9, September 10, 2013 Wolters Kluwer Law & Business
Slide 12: Actual Policy Rate Chart
10 9 Dec 2008 Aug 2011 8 7 6 Percent 5 4 3 2 1 it: Actual Policy 0 1986 1990 1995 2000 2005 2010
Slide 13: Actual and Forecast Rates
10 9 Dec 2008 Aug 2011 8 7 6 Percent 5 4 3 2 1 Actual One−Year−Ahead Forecast Long−Horizon Forecast 0 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Slide 14: Figure 1: Intraday Treasury Yields
Figure 1: Intraday Treasury Yields Percent Percent 0.50 > 25 FOMC | 0.45 + announcement 1 24 0.40 } | 0.35 } 1 10-year yield ] + h i 0.30 (right axis) J] 22 0.25 2-year yield 24 an | (left axis) 0.15 2.0 8/8/11 8/9/11 8/10/11 8/11/11 Note Trading data fom 9 30am to 4.00p m EDT. at five-minute interv
Slide 15: Actual and Forecast Rates
6 5 4 Percent 3 2 1 Actual One−Year−Ahead Forecast Long−Horizon Forecast 0 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Slide 16: Actual and Forecast Rates
11 Actual One−Year−Ahead Forecast 10 Long−Horizon Forecast 9 8 Percent 7 6 5 4 3 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Slide 17: Estimating Policy Rules
Estimating Policy Rules = (1 − ) [(∗ + ∗ ) + ( − ∗ ) + ( − ∗ )] + −1 (1) • Rules Using Forecasts Data — non-censored one-year-ahead forecasts and long-horizon forecasts = (∗ + ∗ ) + ( − ∗ ) + ( − ∗ ) (2) • Rules Using Historical Data = +
Slide 18: Table 1-A: OLS, Historical-Forecast Data Combination
• Table 1-A: OLS, Historical-Forecast Data Combination Inflation Activity 1986—2008 1358 −1402 standard error (0186) (0149) 1986—2013 0926 −1014 standard error (0238) (0104) until ZLB 1358 −1402 standard error (0183) (0129) during ZLB −0880 −1414 standard error (0637) (0201) -6-
Slide 19: Table 1-B: Tobit, Historical-Forecast Data Combination
• Table 1-B: Tobit, Historical-Forecast Data Combination Inflation Activity 1986—2008 1358 −1402 standard error (0188) (0150) 1986—2013 1422 −1584 standard error (0346) (0193) until ZLB 1367 −1422 standard error (1167) (0872) during ZLB e0878 −4489 standard error (10219) (2557) -7-
Slide 20: Table 1-C: Tobit, Only Forecast Data
• Table 1-C: Tobit, Only Forecast Data Inflation Activity 1986—2008 1550 −0786 standard error (0186) (0138) 1986—2013 1286 −0883 standard error (0276) (0087) until ZLB 1546 −0779 standard error (0255) (0131) during ZLB −1354 −2119 standard error (1184) (0244) -8—
Slide 21: Estimation Results: road map
Estimation Results: road map • Break for Subsamples — August 2007, March 2008, September 2008, December 2008. • Comparing Results between Historical and Forecasts Data — pre-Crisis: Similar — post-Crisis: Different • short-rate residuals and measures of risk • “unconstrained” nominal interest rates -
Slide 22: Table 1: Estimates from Historic Data Including the ZLB Period
• Table 1: Estimates from Historic Data Including the ZLB Period pre-Crisis post-Crisis August 2007 Break Inflation response 1893 −0275 standard error (0108) (0237) Chow test 0001 Unemployment response −1257 −0568 standard error (0097) (0136) Chow test 0001 Constant 6018 1529 standar
Slide 23: Skeptical for two reasons
Skeptical for two reasons • Statistical — censoring problem • Economic ∗ = + ( − 1) ∗ + ∗ (5) — implied ∗ in Figure 4 -8-
Slide 24: Table 2-1: Estimates from Historical Data Excluding the ZLB Period
• Table 2-1: Estimates from Historical Data Excluding the ZLB Period pre-Crisis post-Crisis August 2007 Break Inflation response 1893 −0723 standard error (0108) (0957) Chow test 0047 Unemployment response −1257 −1352 standard error (0097) (0308) Chow test 0689 Constant 6018 1108 standar
Slide 25: Table 2-2: Estimates from Historical Data Excluding the ZLB Period
• Table 2-2: Estimates from Historical Data Excluding the ZLB Period pre-Crisis post-Crisis March 2008 Break Inflation response 1908 1763 standard error (0107) (0331) Chow test 0973 Unemployment response −1243 −0375 standard error (0097) (0112) Chow test 0585 Constant 5864 −0517 standard
Slide 26: Results with Forecast Data
Results with Forecast Data • The fit is quite good. — RHS variables explain more than 75% of expected short rates. • Some concerns — negative inflation coefficients for post-Crisis with early breakpoints — much variation in unemployment coefficients post-Crisis — sizable variation even for pre-Crisis co
Slide 27: Table 3-1: Estimates from Forecast Data
• Table 3-1: Estimates from Forecast Data pre-Crisis post-Crisis August 2007 Break Inflation response 1968 −0894 standard error (0260) (0889) Chow test 0002 Unemployment response −0608 −1137 standard error (0112) (0170) Chow test 0001 2 0810 -12-
Slide 28: Table 3-2: Estimates from Forecast Data
• Table 3-2: Estimates from Forecast Data pre-Crisis post-Crisis March 2008 Break Inflation response 1954 −0770 standard error (0259) (0918) Chow test 0004 Unemployment response −0650 −111 standard error (0117) (0175) Chow test 0002 2 0805 -13-
Slide 29: Table 3-3: Estimates from Forecast Data
• Table 3-3: Estimates from Forecast Data pre-Crisis post-Crisis September 2008 Break Inflation response 1774 0832 standard error (0282) (0364) Chow test 0069 Unemployment response −0800 −0796 standard error (0162) (0091) Chow test 0972 2 0781 -14-
Slide 30: Table 3-4: Estimates from Forecast Data
• Table 3-4: Estimates from Forecast Data pre-Crisis post-Crisis December 2008 Break Inflation response 1745 0599 standard error (0277) (0441) Chow test 0111 Unemployment response −0775 −0831 standard error (0139) (0108) Chow test 0605 2 0780 -15-
Slide 31: Pinning Down the Crisis Period
• Pinning Down the Crisis Period — Instability in the coefficient estimates ∗ Figure 6: Forecasts data ∗ Figure 7: Residuals -16-
Slide 32: Figure 6: Forecast Data Fit
5 E−* 4 uE−u* 3 iE−r*−*, Data iE−r*−*, Aug 2007 Break Fit 2 iE−r*−*, Dec 2008 Break Fit 1 Percent 0 −1 −2 −3 −4 −5 2006 2007 2008 2009 2010 2011
Slide 33: Figure 7: Residuals
1.5 Residual, Aug 2007 Break Fit Residual, Dec 2008 Break Fit 1 0.5 0 Percent −0.5 −1 −1.5 −2 −2.5 2006 2007 2008 2009 2010 2011
Slide 34: Pinning Down the Crisis Period
• Pinning Down the Crisis Period — Instability in the coefficient estimates ∗ Figure 6: Forecasts data ∗ Figure 7: Residuals — Sensitivity ∗ Statistical fixes: WLS and median regression ∗ Economic fix: Exclude the chaotic 2007:09 to 2008:12 period. -17-
Slide 35: Table 4-1: Forecast Data Excluding 2007:09 to 2008:12, OLS
• Table 4-1: Estimates from Forecast Data, Excluding 2007:09 to 2008:12 pre-Crisis post-Crisis Ordinary Least Squares Inflation response 1968 0599 standard error (0260) (0441) Chow test 0091 Unemployment response −0608 −0831 standard error (0112) (0108) Chow test 0071 2 0828 -18-
Slide 36: Table 4-2: Forecast Data Excluding 2007:09 to 2008:12, WLS
• Table 4-2: Estimates from Forecast Data, Excluding 2007:09 to 2008:12 pre-Crisis post-Crisis Weighted Least Squares Inflation response 1982 0669 standard error (0104) (0584) Chow test 0086 Unemployment response −0585 −0814 standard error (0065) (0110) Chow test 0077 -19-
Slide 37: Table 4-3: Forecast Data Excluding 2007:09 to 2008:12, Median Regression
• Table 4-3: Estimates from Forecast Data, Excluding 2007:09 to 2008:12 pre-Crisis post-Crisis Median Regression Inflation response 1959 1218 standard error (0105) (0593) Chow test 0068 Unemployment response −0576 −0682 standard error (0056) (0108) Chow test 0059 -20-
Slide 38: Understanding the residuals
• Understanding the residuals — What accounts for residuals’ fluctuations? — Figure 8, based on OLS of Table 4 — Atkeson and Kehoe (2009) on risk ∗ proxy risk by term spread ∗ economically and statistically significant ∗ 100 bp increase in term spread to 25 bp decrease in rates -21-
Slide 39: Figure 8: Residual Fitted to Term Spread
2.5 Residual Residual Fitted to Term Spread 2 1.5 1 Percent 0.5 0 −0.5 −1 −1.5 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Slide 40: Unconstrained Short Rates
• Unconstrained Short Rates — out-of-sample analysis — What would the rates be without the ZLB? — Figure 9 — Size of LSAPs -22-
Slide 41: Figure 9: Unconstrained Policy Rate
6 5 4 3 2 1 Percent 0 −1 * −2 A− uA−u* −3 iA, post−Crisis rule −4 Dec 2008 iA, pre−Crisis rule iA, Data −5 2008 2009 2010 2011 2012 2013
Slide 42: Conclusion
• Conclusion — Estimating policy rules at the zero lower bound — Inflation response weaker than before — Unemployment response as strong as before -23-
Slide 43: Percent
6 E−* 5 uE−u* 4 iE−r*−* 3 2 1 Percent 0 −1 −2 −3 −4 −5 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010
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