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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