Long run rates and monetary policy

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Long run rates and monetary policy 2017 IAAE Conference, Sapporo, Japan, 06/26-30 2017 Gianni Amisano (FRB), Oreste Tristani (ECB) 1 IAAE 2017 Sapporo 6/28/2017 1 Views expressed here are not those of the ECB or of the FRB Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 1 / 30

Motivation Motivation "Movements in the [...] yield spread are associated with movements in risk" (Atkeson and Kehoe, 2010; Cochrane, 2010) In the conventional view, the short rate drops at the beginning of a recession, but it is expected to return the steady state within at least 10 years. Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 2 / 30

Motivation Motivation "Movements in the [...] yield spread are associated with movements in risk" (Atkeson and Kehoe, 2010; Cochrane, 2010) In the conventional view, the short rate drops at the beginning of a recession, but it is expected to return the steady state within at least 10 years. In fact, taking account of risk premia, 10 year expected interest rates fall just as fast as the 1 year rate Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 2 / 30

Motivation Our questions If yield spreads are associated with movements in risk, what produces them? Are they caused by monetary policy or are they exogenous? Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 3 / 30

Motivation Our questions If yield spreads are associated with movements in risk, what produces them? Are they caused by monetary policy or are they exogenous? If long term yields net of risk premia are not constant, what do they imply for expectations of the future path of monetary policy rates... Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 3 / 30

Motivation Our questions If yield spreads are associated with movements in risk, what produces them? Are they caused by monetary policy or are they exogenous? If long term yields net of risk premia are not constant, what do they imply for expectations of the future path of monetary policy rates...... and for inflation expectations? Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 3 / 30

Motivation Our paper A single model-feature can reconcile the macro and the finance literature: heteroskedasticity (in the form of regime switching) Uncertainty shocks also amount to variation in risk: during recessions volatility drives the increase in risk premia. Risk premia are countercyclical as in the finance literature Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 4 / 30

Motivation Our paper A single model-feature can reconcile the macro and the finance literature: heteroskedasticity (in the form of regime switching) Uncertainty shocks also amount to variation in risk: during recessions volatility drives the increase in risk premia. Risk premia are countercyclical as in the finance literature "Uncertainty shocks" change precautionary saving: during recessions volatility increases and real rates fall. Nominal 10 year expected interest rates fall together with policy rates as "observed" in the data Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 4 / 30

Motivation Our paper The quantitative story Risk-neutrality (EH holding) an artifax of linearization: we analyse the nonlinear solution of a DSGE model Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 5 / 30

Motivation Our paper The quantitative story Risk-neutrality (EH holding) an artifax of linearization: we analyse the nonlinear solution of a DSGE model We estimate the nonlinear model on both macro and yields data for the U.S. Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 5 / 30

Motivation Our paper The quantitative story Risk-neutrality (EH holding) an artifax of linearization: we analyse the nonlinear solution of a DSGE model We estimate the nonlinear model on both macro and yields data for the U.S. We show that the model fits both sets of data reasonably well Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 5 / 30

Literature Literature On heteroskedastic shocks in macroeconomic Sims-Zha (2006), Primiceri (2005), Justiniano-Primiceri (2008)... Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 6 / 30

Literature Literature On heteroskedastic shocks in macroeconomic Sims-Zha (2006), Primiceri (2005), Justiniano-Primiceri (2008)... Papers suggesting that consumption-based models with exotic preferences are OK at fitting unconditional moments of yields Piazzesi-Schneider (2006); HTV (2008); Rudebusch-Swanson (2012); Swanson (2014)... Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 6 / 30

Literature Literature On heteroskedastic shocks in macroeconomic Sims-Zha (2006), Primiceri (2005), Justiniano-Primiceri (2008)... Papers suggesting that consumption-based models with exotic preferences are OK at fitting unconditional moments of yields Piazzesi-Schneider (2006); HTV (2008); Rudebusch-Swanson (2012); Swanson (2014)... Few empirical applications in nonlinear models Fernandez-Villaverde et al.(2011), Andreasen (2012)... Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 6 / 30

Key features of the model The model Simple new Keynesian model with Rotemberg adj. costs and inflation indexation, (external) habits Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 7 / 30

Key features of the model The model Simple new Keynesian model with Rotemberg adj. costs and inflation indexation, (external) habits Level and growth technology shocks Y t = (Z t B t ) L α t Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 7 / 30

Key features of the model The model Simple new Keynesian model with Rotemberg adj. costs and inflation indexation, (external) habits Level and growth technology shocks Resource constraint Y t = C t + G t + ζ 2 Y t = (Z t B t ) L α t ( Π t (Π ) 1 ι Π ι t 1) 2 Yt Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 7 / 30

Key features of the model The model Policy rule i t = const. + ψ Π (π t π ) + ψ Y (ỹ t ỹ) + ρ I i t 1 + η t+1 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 8 / 30

Key features of the model The model Policy rule i t = const. + ψ Π (π t π ) + ψ Y (ỹ t ỹ) + ρ I i t 1 + η t+1 Note: constant target π Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 8 / 30

Key features of the model Distinguishing feature: heteroskedasticity Shocks: productivity (stationary and integrated), gov. spending, mark-up, policy Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 9 / 30

Key features of the model Distinguishing feature: heteroskedasticity Shocks: productivity (stationary and integrated), gov. spending, mark-up, policy Two-state, independent Markov switching in the innovation variances: ε i,t+1 N ( ) 0, σ i,si,t for i = z, G, η σ i,si,t = σ i,0 s i,t + σ i,1 (1 s i,t ) with constant transition probablities p(s i,t+1 = k, s i,t = j) = p i,jk Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 9 / 30

Key features of the model Distinguishing feature: preferences Epstein-Zin-Weil preferences U [ u t, ( )] E t V 1 γ t+1 = {(1 β) u 1 ψ t + β ( E t V 1 γ t+1 } 1 ) 1 ψ 1 ψ 1 γ Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 10 / 30

Key features of the model Distinguishing feature: preferences Epstein-Zin-Weil preferences U [ u t, ( )] E t V 1 γ t+1 = {(1 β) u 1 ψ t γ = risk aversion, ψ = inverse of EIS + β ( E t V 1 γ t+1 } 1 ) 1 ψ 1 ψ 1 γ Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 10 / 30

Key features of the model Distinguishing feature: preferences Epstein-Zin-Weil preferences U [ u t, ( )] E t V 1 γ t+1 = {(1 β) u 1 ψ t γ = risk aversion, ψ = inverse of EIS + β ( E t V 1 γ t+1 } 1 ) 1 ψ 1 ψ 1 γ Temporary utility with Trabandt and Uhlig (2011) specification ( ) ψ u = (C t hξ t C t 1 ) 1 η (1 ψ) N 1+ 1 1 ψ φ t Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 10 / 30

Key features of the model Why recursive preferences and habits Habits Have first order effects (hump shaped IRFs). High risk aversion makes consumption insensitive to real rate Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 11 / 30

Key features of the model Why recursive preferences and habits Habits Have first order effects (hump shaped IRFs). High risk aversion makes consumption insensitive to real rate Recursive preferences Have no effects to first order dynamics as in a model with EU. Risk aversion parameter "free" to match yields. Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 11 / 30

Solution and estimation Solution As usual E t [f {x t+1, y t+1, x t, y t, ; s t+1, s t }] = 0 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 12 / 30

Solution and estimation Solution As usual E t [f {x t+1, y t+1, x t, y t, ; s t+1, s t }] = 0 We seek solutions of the form (Amisano and Tristani, JEDC 2011 a special case of recent Foerster, Waggoner, Rubio-Ramirez and Zha, 2015) f (x t, σ; s t ) = f (x; 0; s t ) + F st (x t x st ) + 1 ( Iny (x t x st ) ) E st (x t x st ) + k y,st σ 2 2 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 12 / 30

Solution and estimation Solution Only impact of heteroskedasticity in constant term ŷ t = F x t + 1 2 ( ) Iny x t E xt + k y,st Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 13 / 30

Solution and estimation Solution Only impact of heteroskedasticity in constant term ŷ t = F x t + 1 2 Similarly for predetermined variables ( ) Iny x t E xt + k y,st Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 13 / 30

Solution and estimation Estimation Model is nonlinear yt+1 o = k y,j + F^x t+1 + 1 ( ) I ny ^x t+1 E^x t+1 + Dv t+1 2 x t+1 = k x,i + P^x t + 1 ( ) I nx ^x t G^x t + σσ i w t+1 2 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 14 / 30

Solution and estimation Estimation Model is nonlinear yt+1 o = k y,j + F^x t+1 + 1 ( ) I ny ^x t+1 E^x t+1 + Dv t+1 2 x t+1 = k x,i + P^x t + 1 ( ) I nx ^x t G^x t + σσ i w t+1 2 but main source of nonlinearity are intercept shifts. Hence extended Kalman filter y o t+1 = x t+1 = (i,j) (i,j) k y,t+1 + F t+1^x t+1 + Dv t+1 k (i) x,t + P (i) t x t + Σ i w t+1 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 14 / 30

Solution and estimation Estimation We use Kim s (1994) approximate filter to compute the likelihood Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 15 / 30

Solution and estimation Estimation We use Kim s (1994) approximate filter to compute the likelihood Combine the likelihood with a prior and sample using a tuned Metropolis-Hastings algorithm Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 15 / 30

Data and results Data Quarterly US data: 1966:q1 to 2009:q1 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 16 / 30

Data and results Data Quarterly US data: 1966:q1 to 2009:q1 Six observables: real per-capita GDP; real personal per-capita consumption; consumption deflator; 3-month nominal rate; 3-year and 10-year zero-coupon yields Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 16 / 30

Data and results Data Quarterly US data: 1966:q1 to 2009:q1 Six observables: real per-capita GDP; real personal per-capita consumption; consumption deflator; 3-month nominal rate; 3-year and 10-year zero-coupon yields "Measurement errors" on all variables Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 16 / 30

Data and results Parameter estimates Monetary policy rule: î t = 0.09 [3.09 (π t π ) + 0.57 (ỹ t ỹ)] + 0.91 î t 1 + η t+1. Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 17 / 30

Data and results Parameter estimates Monetary policy rule: î t = 0.09 [3.09 (π t π ) + 0.57 (ỹ t ỹ)] + 0.91 î t 1 + η t+1. High inertia Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 17 / 30

Data and results Parameter estimates post mean post sd prior mean prior sd Π 1.006143 0.00069 1.006255 0.00072 ψ π 0.267607 0.024073 0.199031 0.10011 ψ y 0.049662 0.007535 0.02004 0.009968 ρ i 0.913538 0.016879 0.849432 0.10022 Ξ 1.004527 0.000413 1.005008 0.001003 ι 0.733358 0.111614 0.500288 0.189923 φ 0.615584 0.084646 1.002252 0.504916 γ 11.51852 3.674717 10.95369 6.972984 ψ 1.307529 0.086758 1.203535 0.28997 ζ 33.80709 3.134418 14.97439 6.981933 h 0.861861 0.026101 0.499611 0.188565 β 0.998395 0.000567 0.998567 0.001429 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 18 / 30

Data and results Parameter estimates post mean post sd prior mean prior sd p G,11 0.875997 0.055635 0.899727 0.065687 p G,00 0.941294 0.035121 0.899437 0.066248 p η,11 0.959538 0.019619 0.899591 0.065683 p η,00 0.907894 0.044664 0.899823 0.065774 p z,11 0.972819 0.009089 0.901282 0.065122 p z,00 0.931666 0.019045 0.899314 0.066243 ρ µ 0.548747 0.058116 0.855175 0.091594 ρ z 0.988924 0.001815 0.858245 0.089933 ρ G 0.909108 0.029819 0.855938 0.090583 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 19 / 30

Data and results Parameter estimates post mean post sd prior mean prior sd σ me,π 1.4E-06 1.6E-06 1.4E-06 1.3E-06 σ me, c 1.3E-06 6.8E-07 1.4E-06 1.1E-06 σ me, y 0.003607 0.000617 0.000505 0.00027 σ me,i 1.3E-06 7.5E-07 1.4E-06 1.0E-06 σ me,i12 0.00072 7.6E-05 0.001378 0.001037 σ me,i40 0.000437 5.0E-05 0.001381 0.000999 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 20 / 30

Data and results Dynamic correlations: macro variables 1 Pi t 0.5 deltac 0.5 deltay Pi t 0 Pi t 0 Pi t 0 1 0 10 20 0.5 0 10 20 0.5 0 10 20 0.5 Pi t 1 deltac 1 deltay deltac 0 deltac 0 deltac 0.5 0 0.5 0 10 20 1 0 10 20 0.5 0 10 20 0.5 Pi t 1 deltac 1 deltay deltay 0 deltay 0.5 0 deltay 0 0.5 0 10 20 0.5 0 10 20 1 0 10 20 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 21 / 30

Data and results Dynamic correlations: yields 1 I t 1 R12 1 R40 I t 0 I t 0.5 0 I t 0.5 0 1 0 10 20 0.5 0 10 20 0.5 0 10 20 1 I t 1 R12 1 R40 R12 0.5 0 R12 0 R12 0.5 0 0.5 0 10 20 1 0 10 20 0.5 0 10 20 1 I t 1 R12 1 R40 R40 0.5 0 R40 0.5 0 R40 0 0.5 0 10 20 0.5 0 10 20 1 0 10 20 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 22 / 30

Data and results Forward rates 20 1y ahead 20 3y ahead 15 15 10 10 5 5 0 1960 1970 1980 1990 2000 2010 0 1960 1970 1980 1990 2000 2010 16 10y ahead 14 12 10 Actual Model based 8 6 4 1960 1970 1980 1990 2000 2010 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 23 / 30

Data and results Probability of low-variance regimes 1 0.8 monpol state 0.6 0.4 0.2 0 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 1 0.8 zi state 0.6 0.4 0.2 0 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 24 / 30

Data and results Excess holding period returns filtered premia 1.8 1.6 1.4 recession maturity 12 quarters low maturity 12 quarters med maturity 12 quarters up maturity 40 quarters low maturity 40 quarters med maturity 40 quarters up 1.2 1 0.8 0.6 0.4 0.2 1970 1975 1980 1985 1990 1995 2000 2005 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 25 / 30

Data and results Long-term rates over the business cycle "Risk " or "uncertainty" shocks important for Ei Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 26 / 30

Data and results Long-term rates over the business cycle "Risk " or "uncertainty" shocks important for Ei With recessions, uncertainty and drives up risk premia. Forward rates, but not Ei Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 26 / 30

Data and results Long-term rates over the business cycle "Risk " or "uncertainty" shocks important for Ei With recessions, uncertainty and drives up risk premia. Forward rates, but not Ei Indeed, Ei because demand for precautionary saving, consumption and adds pressure on y and π Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 26 / 30

Data and results Long-term rates over the business cycle "Risk " or "uncertainty" shocks important for Ei With recessions, uncertainty and drives up risk premia. Forward rates, but not Ei Indeed, Ei because demand for precautionary saving, consumption and adds pressure on y and π After recession "confidence" returns. Uncertainty dynamics are reversed. It becomes clear that i will rise quickly. Risk premia and forward rates become closer to Ei Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 26 / 30

Data and results Narrative: expectations 8 7 Expected inflation over the next 10 years Survey Model based 6 5 4 3 2 1 0 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 27 / 30

Data and results Determinants of long-term inflation expectations Anchoring in the 1980s? Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 28 / 30

Data and results Determinants of long-term inflation expectations Anchoring in the 1980s? A sequence of highly persistent, adverse shocks led to an increase in trend inflation in the 1970s. The shocks were slowly reabsorbed over the 1980s. Long-term inflation expectations moved accordingly Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 28 / 30

Data and results Determinants of long-term inflation expectations Anchoring in the 1980s? A sequence of highly persistent, adverse shocks led to an increase in trend inflation in the 1970s. The shocks were slowly reabsorbed over the 1980s. Long-term inflation expectations moved accordingly Inflation was never conquered. Prolonged deviations of inflation from price stability can happen again Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 28 / 30

Conclusions Conclusions Estimated model to account for key features of the transmission of monetary policy to long-term rates. Uncertainty/volatility shocks are important to explain observed variations in yields Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 29 / 30

Conclusions Conclusions Estimated model to account for key features of the transmission of monetary policy to long-term rates. Uncertainty/volatility shocks are important to explain observed variations in yields In the early parts of recessions, forward spreads are high because uncertainty and risk premia not due to Ei. When recession ends, uncertainty and risk premia fall, and Ei rise; changes in forward rate reflect expected future interest rates. Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 29 / 30

Conclusions Conclusions Estimated model to account for key features of the transmission of monetary policy to long-term rates. Uncertainty/volatility shocks are important to explain observed variations in yields In the early parts of recessions, forward spreads are high because uncertainty and risk premia not due to Ei. When recession ends, uncertainty and risk premia fall, and Ei rise; changes in forward rate reflect expected future interest rates. The model can be extended in a number of directions Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 29 / 30

Conclusions Conclusions (II) Movements in risk affecting spreads are not caused by monetary policy actions. But monetary policy responds to changes in risk, because of changes in precautionary saving Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 30 / 30

Conclusions Conclusions (II) Movements in risk affecting spreads are not caused by monetary policy actions. But monetary policy responds to changes in risk, because of changes in precautionary saving Changes in real interest rates and in risk premia are important determinants of long term rates Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 30 / 30

Conclusions Conclusions (II) Movements in risk affecting spreads are not caused by monetary policy actions. But monetary policy responds to changes in risk, because of changes in precautionary saving Changes in real interest rates and in risk premia are important determinants of long term rates 10-year inflation expectations are less firmly anchored than one would conclude, based on survey data Amisano (FRB), Tristani (ECB) LR rates and mon pol IAAE 2017 Sapporo 30 / 30