Monetary Policy Rules in the Presence of an Occasionally Binding - - PowerPoint PPT Presentation

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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


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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.

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Research Question

How does an occasionally-binding Loan-to-Value Ratio (LVR) constraint affect the conduct of monetary policy in terms of an interest rate rule?

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Local Context

New Zealand’s LVR restrictions were introduced on 1 October 2013, responding to

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Local Context

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).

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SLIDE 5

Local Context

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.

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SLIDE 6

Local Context

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

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SLIDE 7

Local Context

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.

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Contribution

We start from Iacoviello (2005)

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Contribution

We start from Iacoviello (2005)

Housing market

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SLIDE 10

Contribution

We start from Iacoviello (2005)

Housing market Patient and impatient households

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Contribution

We start from Iacoviello (2005)

Housing market Patient and impatient households Borrowing constraint on loans

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Contribution

We start from Iacoviello (2005)

Housing market Patient and impatient households Borrowing constraint on loans

Our extensions

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Contribution

We start from Iacoviello (2005)

Housing market Patient and impatient households Borrowing constraint on loans

Our extensions

Open economy DSGE model for NZ

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Contribution

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

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SLIDE 15

Contribution

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

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Main Findings

Imposing an occasionally-binding LVR makes the economy respond asymmetrically to positive and negative shocks.

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Main Findings

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.

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Main Findings

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.

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Main Findings

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.

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SLIDE 20

THE MODEL

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SLIDE 21

Households’ problem

Maximise expected utility subject to

1

Budget constraint

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SLIDE 22

Households’ problem

Maximise expected utility subject to

1

Budget constraint

2

Collateral constraint Rl,tL

t ≤ µ Et

  • qh,t+1Pc,t+1h

t

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SLIDE 23

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, inflation and the interest rate: New Keynesian closed economy model

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Monetary and LVR Policy

Interest rate rule Rt ¯ R = Rt−1 ¯ R rr πc,t ¯ πc rπ yt yt−1 r∆y 1−rr exp ωr,t

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Monetary and LVR Policy

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

  • qh,t+1Pc,t+1h

t

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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 :

GDP growth, Consumption growth, Residential investment growth, Business

investment growth, Housing loan growth, 90-day rate, CPI inflation, House price Inflation, Mortgage spread.

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Occasionally-Binding Solution

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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.

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Asymmetric IRFs: Monetary Policy Shock

4q 8q

  • 1

1 2

90-Day Rate

% from S.S. 4q 8q

  • 2
  • 1

1

House Price

4q 8q

  • 3
  • 2
  • 1

Loan

4q 8q

  • 2
  • 1.5
  • 1
  • 0.5

Output

4q 8q

  • 1
  • 0.5

CPI Inflation

Occasionally-binding Perpetually-binding Contractionary

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Asymmetric IRFs: Monetary Policy Shock

4 q 8 q

  • 1

1 2

90-Day Rate

% from S.S. 4 q 8 q

  • 2
  • 1

1

House Price

4 q 8 q

  • 3
  • 2
  • 1

Loan

4 q 8 q

  • 2
  • 1

Output

4 q 8 q

  • 1
  • 0 .5

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

  • 2
  • 1

1

90-Day Rate

% from S.S. 4 q 8 q

  • 1

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

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Stochastic Simulation

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Stochastic Simulation

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Stochastic Simulation

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

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Optimal Policy

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Optimal Monetary Policy Rules

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)

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Optimal Monetary Policy Rules

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

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Welfare Evaluation

Welfare Level (Gain in terms of consumption) Taylor Rules Saver Borrower Social 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%)
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Temporary LVR Tightening

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

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Temporary LVR Tightening

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

  • 1
  • 0.5

0.5 1

Loans

% from S.S. 8q 16q 24q 32q 40q 48q

  • 0.3
  • 0.2
  • 0.1

0.1

House Price

% from S.S. 8q 16q 24q 32q 40q 48q

  • 1
  • 0.5

0.5

Output

% from S.S. Occasionally-binding Perpetually-binding 8q 16q 24q 32q 40q 48q

  • 0.1

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 %

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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:

Extend monetary policy rule to include house price inflation and credit growth Endogenise LVR policy Open economy dimensions

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Bank’s problem

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

  • Lt

Pd,tyd,t bl (1−bb) , bl > 0, bb ∈ [0, 1) <—

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SLIDE 42

IRFs to Monetary Policy Shock

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

  • m

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

0 .5 1

P o lic y R a te

4 q 8 q 1 2 q 1 6 q 2 0 q

  • 0 .6
  • 0 .4
  • 0 .2

0 .2

C P I In fla tio n

4 q 8 q 1 2 q 1 6 q 2 0 q

  • 0 .8
  • 0 .6
  • 0 .4
  • 0 .2

O u tp u t

4 q 8 q 1 2 q 1 6 q 2 0 q

  • 1 .5
  • 1
  • 0 .5

0 .5

C o n s . S a ve r

% f r

  • m

S . S .

4 q 8 q 1 2 q 1 6 q 2 0 q

  • 1 .5
  • 1
  • 0 .5

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

  • 0 .8
  • 0 .6
  • 0 .4
  • 0 .2

H o u s in g In v.

4 q 8 q 1 2 q 1 6 q 2 0 q

  • 1 .5
  • 1
  • 0 .5

0 .5

H o u s e P r ic e

4 q 8 q 1 2 q 1 6 q 2 0 q

  • 0 .8
  • 0 .6
  • 0 .4
  • 0 .2

L o a n s

% f r

  • m

S . S .

4 q 8 q 1 2 q 1 6 q 2 0 q

  • 0 .0 1

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

  • 1
  • 0 .5

B u s in e s s In v.

4 q 8 q 1 2 q 1 6 q 2 0 q

  • 0 .5

0 .5 1 1 .5

R E R

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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 coefficients.