paper 03_nhom 09_tcqt chk23_monetary policy - retail rates (1).ppt
TRANSCRIPT
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LOGO
Monetary policy transparencyand pass-through of retailinterest rates
Ming-Hua Liu, Dimitri Margaritis, Alireza Tourani-Rad
Reporters:
Phan NgcChionThCmLanCao Xun HiNguynNgcMinh Tun
Professor:
PhD. TrnNgcTh
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Contents
INTRODUCTION1
METHODOLOGY2
DATA AND ANALYSIS OF RESULTS3
CONCLUSION4
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Contents
INTRODUCTION1
METHODOLOGY2
DATA AND ANALYSIS OF RESULTS3
CONCLUSION4
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1. INTRODUTION
1.1. Introdution.
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1. INTRODUTION
1.2. Examined the following issues:
Assess the long-term pass-through of various retail interest
rates including mortgage rates of different maturities using
the Phillips and Loretan estimator.
Examined the short-term pass-through and the adjustment
speed of those retail interest rates using a structural error
correction model and tested whether the adjustment is
symmetric or asymmetric.
Investigated whether enhanced transparency in monetary
policy operating procedures had a significant impact on the
pass-through and adjustment speed of interest rates in N.Z.
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Contents
INTRODUCTION1
METHODOLOGY2
DATA AND ANALYSIS OF RESULTS3
CONCLUSION4
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2. METHODOLOGY
The long-term relationship between the retail
interest rate and the benchmark market rate:
Yt= 0+ 1*xt+ t (1)
Where:
Yt:the bank lending or deposit rate
xt: the corressponding policy or money market rate
0and 1are the long- run parameters
t : Is the error term
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2. METHODOLOGY
Yt=
0+
1*x
t+
t(1)
The long-run pass-through is complete if 1 is
statistically not different from one.
If the demand for retail bank products is not fullyelastic or if banks can exert some degree of market
power then 1will be expected to be less than one.
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2. METHODOLOGY
The problemwith the Engle-Granger method:
The two non -stat ionary interest rate series cointegrate.
OLS estimates of EQ (1) do not h ave standard
asym ptot ic dist r ibut ions.
Estimate EQ (1) using the Phillips and Loretan
(1991) method. It has anumber of advantages.
The PL estimator is asymtotically unbiased and normally
distributed and has been shown to perform well in finite
samples.
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This Phillips and Loretan (1991) method is well suited to
the estimation of long-run relationships involvingintegrated variables, especially in situations wherethere is a clear distinction between the responsevariable (e.g., retail bank rate) and its determinant(viz., money market rate) in the cointegrating
relationship and the dynamics of Xtplay an importantrole in the DGP for Yt. It is modeled by the followingtriangular system of equations:
yt= 0+1* xt+ u1t, t = 1, 2, T, (1a)
xt= xt-1+ u2t (1b)
Where ut= [u1t,u2t] is a stationary vector
2. METHODOLOGY
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yt= 0+1* xt+ u1t, t = 1, 2, T, (1a)xt= xt-1+ u2t (1b)
If U1tis not stationary then the two interest rateswill not cointegrate and the relationship will bespurious and tets will not be valid.
OLS estimates of (1) or (1a) will not have astandard distribution even in very large sampleswhen u1tand u2tare correlated. (Examine: Theariance covariance Matrix).
2. METHODOLOGY
=> If u1tand u2tare correlated, one can alleviatethe problems by augmenting the regression withleads and lags of the first difference in xt,
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2. METHODOLOGY
The inclusion of two-sided lag differences eliminates the
endogeneity problem, while the autocorrelation problem mayneed to be remedied by including lags of the error correction
term. Phillips and Loretan (1991) propose to estimate the
following equation using (non-linear) least squares:
Denotes first difference operator
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2. METHODOLOGY
Vtis the error term. 0measures the contemporaneous or impact pass-
through rate.
i and iare dynamic adjustment coefficients.
captures the error correction adjustmentspeed when the rates are
away from their equilibrium level.
The error-correction (ECM) representationcorresponding to a general ADL(p,q) model is given by:
To analyze the short-run dynamics of interest rate changes in
response to changes in official or money market rates we employa structural error-correction model that explicitly accounts for
the contemporaneous effect of changes in money market rates
on retail bank rates.
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2. METHODOLOGY
The mean adjustment lag (MAL) of a complete passthrough
for a general ADL(p,q) model or its equivalent ECMparameterization.
MAL = (01)/ (3)
For complete pass-through from market rates to retail rates.
The MAL is simply the weighted average of all lags and it is
a measure of the speed with which retails rates respond tomovements in policy or money ADL market rates.
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2. METHODOLOGY
To test for the existence of asymmetric adjustments in
the retail rates in New Zealand, we add a dummyvariable, , to Eq. (2). is equal to one if the residual,
^et-1, is positive and 0 otherwise.
To test for the existence of asymmetric adjustments in
the retail rates in New Zealand, we add a dummyvariable, , to Eq. (2). is equal to one if the residual,
^et-1, is positive and 0 otherwise.
where 2 captures the error correction adjustment
speed when the rates are above their equilibriumvalues and 3 captures the error correction
adjustment speed when the rates are below their
equilibrium values.
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2. METHODOLOGY
For the special case of an ALD(1,1) model under
complete pass-through.
MAL+ = (01)/2 (5)
MAL- = (01)/3 (6)
MAL+represents the mean adjustment lag when the
retail interest rates are above their equilibrium value.
MAL-represents the mean adjustment lag when the retail
interest rates are below their equilibrium value.
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Contents
INTRODUCTION1
METHODOLOGY2
DATA AND ANALYSIS OF RESULTS3
CONCLUSION4
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3. Data and analysis of results
3.1. Data
Monthly series of interest rate data, from two sources:
The fixed mortgage rates of maturities of 1-5 years
from a major commercial bank. The rest of the data: bond rates, base lending rate,
floating mortgage rate, 6-month time deposit rate,
OCR, overnight interbank ratefrom Reserve Bank.
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3. Data and analysis of results
3.2. Long-term pass-through and
structural change
The long-term pass-through from the overnight
interbank rate to retail rates is incomplete for all
series, except for the floating and fixed 1-year
mortgage rates at the 5% level.
Official and money market interest rates have a
much more direct link with short-term rates than with
long-term rates.
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3. Data and analysis of results
3.2. Long-term pass-through and structural change
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3. Data and analysis of results
3.2. Long-term pass-through and
structural change
Prior to the introduction of the OCR in 1999, all long-term
degree of pass-through from the market cash rate to
retail rates was incomplete.
After the introduction of the OCR, the degree of pass-
through for the floating rate, base lending rate and 6-
month deposit rate increased, but that for the fixed 1-5
year mortgage rates either did not change significantly or
decreased.
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3. Data and analysis of results
3.2. Long-term pass-through and structural change
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3. Data and analysis of results
3.2. Long-term pass-through and
structural change
The reasons are:
Due to less interest rate volatility, more transparency and
competition in marketplaceincrease in long-term pass-through from overnight interbank
rate to short-term retail rates.
Banks use bond yields instead of the OCR as the benchmarks to
adjust fixed mortgage rates.
The weak relationship between OCR and fixed mortgage rates.
Swapping foreign currency debt into fixed or floating domestic
currency swaps and currency swaps.
The effective cost overseas borrowing is about the same as that
of domestic interest rate with same maturity.
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3. Data and analysis of results
3.3. Short-term pass-through and
adjustment speed
For most retail rates, there are no significant differences in
size of the immediate pass-through between the period
before and after the introduction of OCR. Exceptions:
Business base lending rate: twofold increase.
Floating rate: increase four times.
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3. Data and analysis of results
3.3. Short-term pass-through and
adjustment speed
Significant change in the adjustment speed after the
OCR only for the base rate and the time deposit rate.
For most retail rates, the estimated size of the short-
term pass-through and mean adjustment lag indicate
speedier response compared to the rates reported in
other countries.
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3. Data and analysis of results
3.2. Long-term pass-through and structural change
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3. Data and analysis of results
3.4. Asymmetric adjustment speed
The differences in the magnitude of mean adjustmentlags indicate that the pass-through to fixed mortgage
rates is faster when retail rates are above their
equilibrium values rather than below.
Banks were faster to bring rates down when they were
above equilibrium compared to the speed by which they
would bring them up when they were below euilibrium
levels.
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3. Data and analysis of results 3.4. Asymmetric adjustment speed
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Contents
INTRODUCTION1
METHODOLOGY2
DATA AND ANALYSIS OF RESULTS3
CONCLUSION4
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4. CONCLUSION Long-term pass-through of retail rates varies across
financial products.
Short-term rates show higher degree of pass-through and
faster adjustment speed than long-term rates.
There is some evidence of an asymmetric in theadjustment of retail rates.
The introduction of OCR is associated with an increase in
the pass-through for floating, base lending and depositrates but not for fixed mortgage rates.
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4. CONCLUSION
We find complete long-term pass-through and almost
complete immediate pass-through from bond rates to fixed
rates of similar maturities.
Monetary policy rate has more influence on short-term
interest rates.
Monetary policy transparency and interest rate volatility
decreases, future short-term rate change less uncertain
enhancing the degree of pass-through of offcial rates to
retail rates efficacy of monetary policy.
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LOGO