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.
Monetary Policy Rules in the Presence of an Occasionally Binding - - PowerPoint PPT Presentation
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
Punnoose Jacob Christie Smith Fang Yao Oct 2014, Wellington
Reserve Bank of New Zealand.
How does an occasionally-binding Loan-to-Value Ratio (LVR) constraint affect the conduct of monetary policy in terms of an interest rate rule?
New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to
New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to
Annual NZ house price inflation reached 10 percent, December 2013 (16% in
Auckland).
New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to
Annual NZ house price inflation reached 10 percent, December 2013 (16% in
Auckland).
The proportion of high LVR lending exceeded 30% in early 2013.
New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to
Annual NZ house price inflation reached 10 percent, December 2013 (16% in
Auckland).
The proportion of high LVR lending exceeded 30% in early 2013.
Housing market led to financial stability concerns
New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to
Annual NZ house price inflation reached 10 percent, December 2013 (16% in
Auckland).
The proportion of high LVR lending exceeded 30% in early 2013.
Housing market led to financial stability concerns Reluctance to use the interest rates: concerns about low inflation and elevated exchange rate.
We start from Iacoviello (2005)
We start from Iacoviello (2005)
Housing market
We start from Iacoviello (2005)
Housing market Patient and impatient households
We start from Iacoviello (2005)
Housing market Patient and impatient households Borrowing constraint on loans
We start from Iacoviello (2005)
Housing market Patient and impatient households Borrowing constraint on loans
Our extensions
We start from Iacoviello (2005)
Housing market Patient and impatient households Borrowing constraint on loans
Our extensions
Open economy DSGE model for NZ
We start from Iacoviello (2005)
Housing market Patient and impatient households Borrowing constraint on loans
Our extensions
Open economy DSGE model for NZ Occasionally-binding borrowing constraint
We start from Iacoviello (2005)
Housing market Patient and impatient households Borrowing constraint on loans
Our extensions
Open economy DSGE model for NZ Occasionally-binding borrowing constraint We study optimal monetary policy rules
Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks.
Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks. The LVR affects macro volatilities and hence changes monetary policy.
Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks. The LVR affects macro volatilities and hence changes monetary policy. The optimal monetary policy rule under an LVR constraint transfers welfare from savers to borrowers.
Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks. The LVR affects 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.
Maximise expected utility subject to
1
Budget constraint
Maximise expected utility subject to
1
Budget constraint
2
Collateral constraint Rl,tL
t ≤ µ Et
t
Banks channel savings from domestic and foreign savers to borrowers. Home good produced with capital and Labour Sold at home and abroad Foreign output, inflation and the interest rate: New Keynesian closed economy model
Interest rate rule Rt ¯ R = Rt−1 ¯ R rr πc,t ¯ πc rπ yt yt−1 r∆y 1−rr exp ωr,t
Interest rate rule Rt ¯ R = Rt−1 ¯ R rr πc,t ¯ πc rπ yt yt−1 r∆y 1−rr exp ωr,t LVR policy Rl,tL
t ≤ µLVR Et
t
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 :
GDP growth, Consumption growth, Residential investment growth, Business
investment growth, Housing loan growth, 90-day rate, CPI inflation, House price Inflation, Mortgage spread.
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.
4q 8q
1 2
90-Day Rate
% from S.S. 4q 8q
1
House Price
4q 8q
Loan
4q 8q
Output
4q 8q
CPI Inflation
Occasionally-binding Perpetually-binding Contractionary
4 q 8 q
1 2
90-Day Rate
% from S.S. 4 q 8 q
1
House Price
4 q 8 q
Loan
4 q 8 q
Output
4 q 8 q
CPI Inflation
O c c a s io n a lly - b in d in g Pe r p e tu a lly - b in d in g 4 q 8 q
1
90-Day Rate
% from S.S. 4 q 8 q
1 2
House Price
4 q 8 q 1 2 3
Loan
4 q 8 q 1 2
Output
4 q 8 q 0 .5 1
CPI Inflation
C o n tr a c tio n a r y Ex p a n s io n a r y
Comparing Moments from the Perpetually- and Occasionally-binding Models Binding Frequency Output S.D. (%) CPI Inflation S.D. (%) LVR Occasional Perpetual Occasional Perpetual Occasional Perpetual 0.90 10.4% 100% 0.77 1.13 0.19 0.21 0.70 12% 100% 0.75 0.87 0.18 0.19
Taylor Rules Estimated:
ˆ Rt= 0.80 ˆ Rt−1+0.2 (1.89 ˆ πc,t + 0.32∆ˆ yt)
Occ.binding optimal:
ˆ Rt= 0.80 ˆ Rt−1+0.2 (1.1 ˆ πc,t − ∆ˆ yt)
Always binding optimal:
ˆ Rt= 0.80 ˆ Rt−1+0.2 (3 ˆ πc,t − ∆ˆ yt)
Taylor Rules Estimated:
ˆ Rt= 0.80 ˆ Rt−1+0.2 (1.89 ˆ πc,t + 0.32∆ˆ yt)
Occ.binding optimal:
ˆ Rt= 0.80 ˆ Rt−1+0.2 (1.1 ˆ πc,t − ∆ˆ yt)
Always binding optimal:
ˆ Rt= 0.80 ˆ Rt−1+0.2 (3 ˆ πc,t − ∆ˆ yt) Extend Taylor rule to include house price inflation and credit growth
Welfare Level (Gain in terms of consumption) Taylor Rules Saver Borrower Social Estimated:
Occ.binding:
Always binding:
8q 16q 24q 32q 40q 48q 0.87 0.88 0.89 0.9 0.91 0.92
Loan-to-Value Ratio
L e v e l Occasionally-binding Perpetually-binding
8q 16q 24q 32q 40q 48q 0.87 0.88 0.89 0.9 0.91 0.92
Loan-to-Value Ratio
Level 8q 16q 24q 32q 40q 48q
0.5 1
Loans
% from S.S. 8q 16q 24q 32q 40q 48q
0.1
House Price
% from S.S. 8q 16q 24q 32q 40q 48q
0.5
Output
% from S.S. Occasionally-binding Perpetually-binding 8q 16q 24q 32q 40q 48q
0.1 0.2 0.3
Inflation
Annualised % 8q 16q 24q 32q 40q 48q 4.6 4.8 5 5.2 5.4
Policy rate
Annualised Level in %
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:
Extend monetary policy rule to include house price inflation and credit growth Endogenise LVR policy Open economy dimensions
Bank dividend max Et
∞
τ=0
βτ
b
λt+τ λt Db,t+τ(j) Pc,t+τ (1) Budget constraint Db,t(j) Pc,t + Rt−1St−1(j) Pc,t + Φt−1R∗
t−1S∗ t−1(j)
etPc,t + Lt(j) Pc,t ≤ St(j) Pc,t + S∗
t (j)
etPc,t + Rl,t−1Lt−1(j) Pc,t The bank is subject to a capital requirement constraint Lt(j) − St(j) − S∗
t (j)/et
Lt(j) = 1 − µb,t where : µb,t = µbb
b,t−1
Pd,tyd,t bl (1−bb) , bl > 0, bb ∈ [0, 1) <—
4 q 8 q 1 2 q 1 6 q 2 0 q 0 .1 0 .2
S h o c k P r o c e s s
% f r
S . S .
9 7 .5 % i le M e d i a n 2 .5 % i le
4 q 8 q 1 2 q 1 6 q 2 0 q
0 .5 1
P o lic y R a te
4 q 8 q 1 2 q 1 6 q 2 0 q
0 .2
C P I In fla tio n
4 q 8 q 1 2 q 1 6 q 2 0 q
O u tp u t
4 q 8 q 1 2 q 1 6 q 2 0 q
0 .5
C o n s . S a ve r
% f r
S . S .
4 q 8 q 1 2 q 1 6 q 2 0 q
C o n s . B o r r o w e r
4 q 8 q 1 2 q 1 6 q 2 0 q
H o u s in g In v.
4 q 8 q 1 2 q 1 6 q 2 0 q
0 .5
H o u s e P r ic e
4 q 8 q 1 2 q 1 6 q 2 0 q
L o a n s
% f r
S . S .
4 q 8 q 1 2 q 1 6 q 2 0 q
0 .0 1 0 .0 2 0 .0 3
L e n d in g S p r e a d
4 q 8 q 1 2 q 1 6 q 2 0 q
B u s in e s s In v.
4 q 8 q 1 2 q 1 6 q 2 0 q
0 .5 1 1 .5
R E R
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 coefficients.