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Monetary Policy Rules in the Presence of an Occasionally Binding Borrowing Constraint Punnoose Jacob Christie Smith Fang Yao Oct 2014, Wellington Reserve Bank of New Zealand. Research Question How does an occasionally-binding Loan-to-Value Ratio (LVR) constraint a¤ect the conduct of monetary policy in terms of an interest rate rule? Local Context New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to Local Context New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to I Annual NZ house price in‡ation reached 10 percent, December 2013 (16% in Auckland). Local Context New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to I Annual NZ house price in‡ation reached 10 percent, December 2013 (16% in Auckland). I The proportion of high LVR lending exceeded 30% in early 2013. Local Context New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to I Annual NZ house price in‡ation reached 10 percent, December 2013 (16% in Auckland). I The proportion of high LVR lending exceeded 30% in early 2013. Housing market led to …nancial stability concerns Local Context New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to I Annual NZ house price in‡ation reached 10 percent, December 2013 (16% in Auckland). I The proportion of high LVR lending exceeded 30% in early 2013. Housing market led to …nancial stability concerns Reluctance to use the interest rates: concerns about low in‡ation and elevated exchange rate. Contribution We start from Iacoviello (2005) Contribution We start from Iacoviello (2005) I Housing market Contribution We start from Iacoviello (2005) I Housing market I Patient and impatient households Contribution We start from Iacoviello (2005) I Housing market I Patient and impatient households I Borrowing constraint on loans Contribution We start from Iacoviello (2005) I Housing market I Patient and impatient households I Borrowing constraint on loans Our extensions Contribution We start from Iacoviello (2005) I Housing market I Patient and impatient households I Borrowing constraint on loans Our extensions I Open economy DSGE model for NZ Contribution We start from Iacoviello (2005) I Housing market I Patient and impatient households I Borrowing constraint on loans Our extensions I Open economy DSGE model for NZ I Occasionally-binding borrowing constraint Contribution We start from Iacoviello (2005) I Housing market I Patient and impatient households I Borrowing constraint on loans Our extensions I Open economy DSGE model for NZ I Occasionally-binding borrowing constraint I We study optimal monetary policy rules Main Findings Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks. Main Findings Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks. The LVR a¤ects macro volatilities and hence changes monetary policy. Main Findings Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks. The LVR a¤ects macro volatilities and hence changes monetary policy. The optimal monetary policy rule under an LVR constraint transfers welfare from savers to borrowers. Main Findings Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks. The LVR a¤ects macro volatilities and hence changes monetary policy. The optimal monetary policy rule under an LVR constraint transfers welfare from savers to borrowers. Removing the LVR results in gradual adjustment. THE MODEL Households’problem Maximise expected utility subject to 1 Budget constraint Households’problem Maximise expected utility subject to 1 Budget constraint 2 Collateral constraint Rl ,t Lt0 µ Et qh,t +1 Pc ,t +1 ht0 The Rest of the Model Banks channel savings from domestic and foreign savers to borrowers. Home good produced with capital and Labour Sold at home and abroad Foreign output, in‡ation and the interest rate: New Keynesian closed economy model Monetary and LVR Policy Interest rate rule Rt = R̄ Rt 1 r r R̄ π c ,t π̄ c rπ yt yt 1 r ∆y 1 rr exp ω r ,t Monetary and LVR Policy Interest rate rule Rt = R̄ Rt 1 r r R̄ π c ,t π̄ c rπ yt r ∆y 1 rr yt 1 LVR policy Rl ,t Lt0 µLVR Et qh,t +1 Pc ,t +1 ht0 exp ω r ,t Parameter Values Most of structural parameters are calibrated to match NZ data. The rest are estimated using Bayesian methods Sample period:1993 Q4 to 2013 Q3 before the LVR restriction was introduced. The estimated model does not have the borrowing constraint. 9 data series : I GDP growth, Consumption growth, Residential investment growth, Business investment growth, Housing loan growth, 90-day rate, CPI in‡ation, House price In‡ation, Mortgage spread. Occasionally-Binding Solution Occasionally-binding Solution We use the "OccBin" Toolbox developed by Guerrieri and Iacoviello (2014) A piecewise-linear approximation of occasionally binding constraints It is able to deal with large models with many predetermined variables. Asymmetric IRFs: Monetary Policy Shock Contractionary % from S.S. 90-Day Rate House Price 2 1 1 0 Loan O utput 0 CPI Inflation 0 0 -0.5 -1 -1 0 -1 -1 0 4q 8q -2 -2 0 4q 8q -3 -0.5 -1.5 0 4q 8q -2 0 4q 8q -1 0 4q 8q Occasionally-binding P erpetually-binding Asymmetric IRFs: Monetary Policy Shock C o n tr a c tio n a r y 90-Day Rate House Price % fr o m S.S. 2 Loan 1 0 1 0 -1 0 -1 -2 -1 -2 0 4q 8q O utput -3 0 4q 8q CPI Inflation 0 0 -1 - 0 .5 -2 0 4q 8q -1 0 4q 8q 0 4q 8q O c c a s io n a lly - b in d in g P e r p e tu a lly - b in d in g E x p a n s io n a r y % fr o m S.S. 90-Day Rate House Price Loan 1 2 3 0 1 2 -1 0 1 -2 -1 0 4q 8q O utput 0 0 4q 8q CPI Inflation 2 1 1 0 .5 0 0 4q 8q 0 0 4q 8q 0 4q 8q Stochastic Simulation Stochastic Simulation Stochastic Simulation Comparing Moments from the Perpetually- and Occasionally-binding Models LVR 0.90 0.70 Binding Frequency Occasional Perpetual 10.4% 100% 12% 100% Output S.D. (%) Occasional Perpetual 0.77 1.13 0.75 0.87 CPI In‡ation S.D. (%) Occasional Perpetual 0.19 0.21 0.18 0.19 Optimal Policy Optimal Monetary Policy Rules Taylor Rules Estimated: Occ.binding optimal: Always binding optimal: R̂t = 0.80R̂ t 1 +0.2 (1.89π̂ c ,t + 0.32∆ŷ t ) R̂t = 0.80R̂ t 1 +0.2 (1.1π̂ c ,t R̂t = 0.80R̂ t 1 +0.2 (3π̂ c ,t ∆ŷ t ) ∆ŷ t ) Optimal Monetary Policy Rules Taylor Rules Estimated: Occ.binding optimal: Always binding optimal: R̂t = 0.80R̂ t 1 +0.2 (1.89π̂ c ,t + 0.32∆ŷ t ) R̂t = 0.80R̂ t 1 +0.2 (1.1π̂ c ,t R̂t = 0.80R̂ t 1 +0.2 (3π̂ c ,t ∆ŷ t ) ∆ŷ t ) Extend Taylor rule to include house price in‡ation and credit growth Welfare Evaluation Welfare Level (Gain in terms of consumption) Saver Borrower Social Taylor Rules Estimated: -84.83 -101.42 -1.912 Occ.binding: -85.88 ( 1.04%) -100.71 (0.71%) -1.910 (0.002%) Always binding: -75.4 (9.8%) -113.12 ( 11.6%) -2.01 ( 0.2%) Temporary LVR Tightening Loan-to-Value Ratio 0.92 Occasionally-binding Perpetually-binding 0.91 Level 0.9 0.89 0.88 0.87 0 8q 16q 24q 32q 40q 48q Temporary LVR Tightening Loan-to-Value Ratio Loans % from S.S. Level 0.91 0.9 0.89 0.1 0.5 0 0 -0.5 0.88 0.87 House Price 1 % from S.S. 0.92 0 8q 16q 24q 32q 40q -1 48q -0.2 0 8q Output 16q 24q 32q 40q 48q -0.5 0.1 0 Occasionally-binding Perpetually-binding 8q 16q 24q 8q 32q 40q 48q -0.1 16q 24q 32q 40q 48q 40q 48q 5.4 Annualised Level in % Annualised % 0 0 0 Policy rate 0.3 0.2 % from S.S. -0.3 Inflation 0.5 -1 -0.1 0 8q 16q 24q 32q 40q 48q 5.2 5 4.8 4.6 0 8q 16q 24q 32q Conclusion We study macro dynamics under an occasionally-binding LVR . The LVR makes the economy respond asymmetrically to positive and negative shocks and hence changes macro volatilities and monetary policy. Future Research: I Extend monetary policy rule to include house price in‡ation and credit growth I Endogenise LVR policy I Open economy dimensions Bank’s problem Bank dividend ∞ max Et ∑ βbτ τ =0 λt +τ Db,t +τ (j ) λt Pc ,t +τ Budget constraint Db,t (j ) Rt 1 St 1 (j ) Φt 1 Rt 1 St 1 (j ) Lt (j ) + + + Pc ,t Pc ,t et Pc ,t Pc ,t R L ( j ) St ( j ) S (j ) t 1 + t + l ,t 1 Pc ,t et Pc ,t Pc ,t The bank is subject to a capital requirement constraint Lt ( j ) St (j ) St (j )/et =1 Lt ( j ) b where : µb,t = µbb,t 1 <– Lt Pd ,t yd ,t µb,t b l (1 b b ) , bl > 0, bb 2 [0, 1) (1) IRFs to Monetary Policy Shock S hoc k P roc es s P o l i c y R a te 1 O u tp u t C P I In fl a ti o n 0 .2 0 9 7 .5 % i l e M edian % from S.S. 0 .2 2 .5 % i l e 0 .1 - 0 .5 0 4q 8q 12q 16q 20q - 0 .4 - 0 .4 - 0 .6 - 0 .8 - 0 .6 0 C o n s . S a ve r 0 .5 4q 8q 12q 16q 20q 0 C ons. B orrower 0 4q 8q 0 12q 16q 20q 4q 8q 12q 16q 20q H ous e P r ic e H o u s i n g In v. 0 .5 0 0 % from S.S. - 0 .2 0 0 - 0 .2 0 - 0 .4 - 0 .5 - 0 .5 - 0 .5 -1 -1 - 1 .5 - 1 .5 0 4q 8q 12q 16q 20q 0 Loans % from S.S. 0 - 0 .2 0 .5 0 .0 3 - 0 .2 0 .0 2 - 0 .4 0 .0 1 - 0 .6 0 - 0 .8 - 0 .0 1 4q 8q 12q 16q 20q 8q -1 - 0 .8 - 1 .5 12q 16q 20q 0 L e n d in g S p r e a d 0 0 4q - 0 .6 4q 8q 0 12q 16q 20q 4q B u s i n e s s In v. 8q 12q 16q 20q R ER 0 1 .5 - 0 .5 0 .5 -1 - 0 .5 1 0 0 4q 8q 12q 16q 20q 0 4q 8q 12q 16q 20q 0 4q 8q 12q 16q 20q Optimal Monetary Policy Rules under LVR We evaluate Taylor type operational rules based on unconditional expectations of social welfare. Due to the occasionally binding constraint, we apply a simulation-based welfare measure. We simulate the model based on estimated parameters and driving forces for 500 periods, repeating it for 200 times. Averaging across 200 replications yields a sample approximation to the expected values of variables for the welfare measure. We repeat this exercise for each candidate policy rule on a grid of Taylor rule coe¢ cients.