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    FOREIGN EXCHANGE INTERVENTION AND FUTUREMONETARY POLICY: SOME EMPIRICAL EVIDENCE

    ON SIGNALING HYPOTHESIS

    K.G. Sahadevan, Ph.DAssociate Professor

    Indian Institute of ManagementPrabandh Nagar, Off Sitapur Road

    Lucknow 226 013INDIA

    E-mail: [email protected]: 0522-361889

    Fax: 0522-361840

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    1

    FOREIGN EXCHANGE INTERVENTION AND FUTURE

    MONETARY POLICY: SOME EMPIRICAL EVIDENCEON SIGNALING HYPOTHESIS

    *

    ABSTRACT

    The present study attempts to examine the following questions in the Indian context. Has foreign

    exchange intervention been successful in stabilizing exchange rate? Has the intervention been

    sterilized with the objective of maintaining monetary target? Does intervention signal changes infuture monetary policy variables? The estimates of the intervention and sterilization equationsindicate that the central bank sterilizes a major portion of reserve flow, and purchases US$ when

    its price in terms of rupee is low and vice versa. The estimates of the money supply process show

    that purchases (sale) of US$ are correlated with expansionary (contractionary) monetary policyin the future. However, the results from Granger test of causality indicate that intervention does

    not have any significant causal relationship with monetary variable and exchange rate.

    Keywords: Exchange rate; Central Bank Intervention; Monetary Policy

    JEL Classification: F31; E58

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    The non-sterilized interventions, on the other hand, change the monetary aggregates and

    interest rates due to which exchange rates would be affected in the same way as the

    domestic open market operations do. The signaling hypothesis proposed by Mussa

    (1981) has given a new dimension to this issue triggering voluminous research in recent

    times. It says that foreign exchange intervention is an effective and predictable signal of

    monetary policy actions. He has argued that interventions induce traders in the market to

    alter their expectations of future monetary policy or long-run equilibrium value of the

    exchange rate. When the market revises its expectations of future money supplies, it also

    revises its expectations of the future spot exchange rate, which in turn brings about a

    change in the current rate. In this theoretical setting the present paper seeks to answer the

    following questions empirically. Has foreign exchange intervention been successful in

    stabilizing exchange rate? Has the intervention been sterilized with the objective of

    maintaining monetary target? Does intervention signal changes in future monetary policy

    variables? These questions have been examined empirically in the Indian context using

    monthly data on Reserve Bank of Indias (RBI) foreign exchange intervention from June

    1995 through May 2001.

    The remainder of the paper is organized into four sections. Section II briefly reviews the

    literature on the effectiveness of foreign exchange intervention. Section III carries a

    description on the international perspective of nature and purpose of intervention. The

    formulation of testable hypothesis and the equations for estimation have been discussed

    in section IV and section V presents results of the study and discussion. Section VI

    concludes the findings of the study. A description on data and variables, and

    methodology of the study has been presented as appendix.

    II. REVIEW OF PREVIOUS STUDIES

    There is extensive literature on the effect of foreign exchange market intervention on

    exchange rate and future monetary policy variables.2 However, there has been very little

    evidence to suggest that intervention consistently and directly affects spot exchange rates,

    through either monetary, or a portfolio balance transmission channel [Baillie., et al,

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    (2000)].3 Most of the studies in this area are in the US context and are concerned with

    the effect of intervention on the US$ exchange rates against Japanese Yen and German

    Mark. These Studies differ in the methodologies used. Three different methodologies

    have been utilized for empirical investigation. First, there are attempts to measure the

    effect of current intervention on the exchange rate over and above the contribution of the

    current fundamental. Secondly, the most common method has been the estimation of

    money supply process (equation 2 below) and measurement of the ability of intervention

    to predict the future course of money supply. The third approach, which has been used in

    Fatum and Hutchison (1999), is to directly estimate the effect of intervention on changes

    in expected monetary policy.

    The findings of Dominguez and Frankel (1993) have supported the effect of Federal

    Reserve and Bundesbank intervention on exchange rate through the portfolio channel as

    against the consensus view thus far that the portfolio channel of intervention had been

    ineffective. Similarly, the findings of Ramaswamy and Samiei (2000) on the basis of a

    simple forward looking model of the exchange rate showed that interventions conducted

    during 1995-99 succeeded in changing the path of the yen-dollar rate in the desired

    direction. The results from probit model indicated that the Bank of Japan (BoJ) had

    pursued a symmetrical policy by which both an excessive appreciation and depreciation

    of the yen provoked interventions, and that interventions in the yen-dollar market tend to

    occur in clusters. In the context of UK, Kearney and MacDonald (1986) have examined

    the potency of sterilized intervention using a portfolio balance model the result of which

    indicated that sterilized intervention had been effective on British pound-US$ exchange

    rates.

    The evidences from most of the studies are in favor of signaling channel, which reveals

    the monetary policy intentions of the central bank through interventions. The portfolio

    channel through which sterilized intervention affect exchange rates, on the other hand,

    has received little empirical support. Using bivariate vector autoregressions and Granger-

    causality tests, Lewis (1995) has examined whether intervention helps predict future

    changes in monetary policy in the US context. The study reports a mixed picture of the

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    signaling story and finds a circular relationship between intervention and future monetary

    policy. Kaminsky and Lewis (1996) have also reported similar results, which indicate

    that the US intervention provided a signal to future changes in interbank rates and

    monetary aggregates, but sometimes in the opposite direction of that predicted by the

    conventional signaling hypothesis. Ghose (1992) tested the portfolio balance channel by

    examining the effects of changes in relative asset supplies on the US$-Deutschemark rate

    and found a weak, but statistically significant, portfolio balance influence on the

    exchange rate. In Fatum and Hutchison (1999), the evidence obtained from GARCH

    model found dollar intervention not related to a rise in expected future short-term interest

    rates (monetary tightening). They have used the federal funds futures market prices as

    the proxy for market expectations on future monetary policy.

    Over the past few years, attention has been shifted to studying the effect of intervention

    on exchange rate volatility. On the whole, the evidence from these studies on impact of

    intervention on conditional exchange rate volatility as well as on implied volatility is not

    very conclusive. Aguilar and Nydahl (2000) reported results from GARCH models that

    central banks sterilized intervention has not systematically reduced the volatility of

    Swedish kroner rates against US$ and Deutsch Mark. The evidence presented in Bonser-

    Neal (1996) on the Federal Reserves intervention suggested that the central bank

    intervention had little effect on volatility. Using the Friedmans profit test4Andrew

    and Broadbent (1994) tested the effectiveness of the Reserve Bank of Australias (RBA)

    intervention and showed that RBA has made significant profits from intervention and that

    intervention has tended to stabilize the Australian dollar exchange rate over the period the

    currency has been floating. The nonavailability of data on the rate and volume of intra-

    day sale and purchase of foreign currency undertaken by any central bank however limit

    the feasibility of profit test. The study has also used the Wonnacotts criterion5the result

    of which supported the findings of profit test. Kim et al (2000) came out with similar

    evidence in the Australian context by showing that sustained and large interventions have

    a stabilizing influence in the Australian $-US$ market in terms of direction and volatility

    during 1983-97. Galati and Melick (1999) studied the impact of the Federal Reserves

    and BoJs intervention on the instantaneous and expected volatility (derived from option

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    prices) of yen-US$ exchange rates and found that the interventions did not have any

    impact on the forward rates but suggested that it could increase the uncertainty in the

    movement of spot rates. However, Baillie and Osterberg (1997) found some evidence

    that intervention leads to increases in volatility and also influences the risk premium in

    the Deutschemark-US$ and Yen-US$ forward markets. They have also reported that

    intervention is Granger caused by high volatility of changes in the nominal exchange rate

    and unidirectional from intervention to risk in the forward market. They have concluded

    that intervention is motivated by increases in spot rather than forward market volatility.

    To conclude, there is no general consensus evidence to support the portfolio balance

    channel. However, there is some, but no conclusive evidence that intervention mainly

    works through the signaling channel, i.e., by the central bank conveying a signal to

    market participants about information on future fundamentals that they do not have. In a

    fairly comprehensive survey of research Baillie et al (2000) concluded that empirical

    work to date suggests that exchange market intervention does not directly affect the

    fundamental economic determinants of exchange rates, but allows for the possibility that

    intervention may sometimes influence market expectations about those fundamentals.

    III. INTERVENTION UNDER FLOATING SYSTEM

    In its true sense, no currencies in the world are freely floated. Since the beginning of

    floating exchange rate system in 1973, most of the worlds major central banks have

    intervened frequently and at times forcefully in the foreign exchange markets to influence

    the path that their respective currencies have taken. Although there are no well defined

    rules governing the motive of intervention, the IMFs Principles for the Guidance of

    Members Exchange Rate Policies describes that a member should intervene in the

    exchange market if necessary to counter disorderly conditions which may be

    characterized inter aliaby disruptive short-term movements in the exchange value of its

    currency. In the Indian context, in addition to the trade and capital controls imposed by

    the government, the Reserve Bank of India (RBI) uses its foreign exchange reserves for

    market intervention so as to align the market rate of rupee with its desiredrate consistent

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    with certain macroeconomic parameters. This official exchange rate management has a

    conventional objective of ensuring the currency not deviating far away from the long-run

    equilibrium rate. However, other considerations like maintaining export competitiveness,

    guarding currency against speculation, etc., often outweigh this objective and necessitate

    official intervention to lean against the wind of short-term exchange rate movements.

    Though the direct intervention alters the demand and supply forces in the market which,

    lead to correction in exchange rates in the short-term, its effectiveness however depends

    on the volume of intervention relative to the daily turnover in the market. The market

    intervention has various implications, and it is designed to fulfill certain intentions of the

    central bank depending on the choice between sterilized intervention and non-sterilized

    intervention. The sterilized intervention through open market operations offsets the

    change in net foreign assets by a corresponding change in net domestic assets. This in

    turn helps the central bank to adhere to monetary targets. RBI at times resorts to

    sterilized intervention not essentially to directly affect exchange rate but to give signal in

    two counts. First, it signals the intention of the central bank to control the monetary

    growth and secondly, it signals the undesirable changes in exchange rate that are being

    taken place in the marketplace. These signals eventually force traders with vulnerable

    long or short positions to abort speculation and bring exchange rate in alignment with its

    long-run trend rate or to maintain the rates at a desired level. The non-sterilized

    intervention, on the other hand, creates a mismatch between supply of and demand for

    money eventually leading to change in exchange rate in the medium term. This

    intervention is effective only if its volume is sizable relative to the outstanding stock of

    domestic money holding. However, most studies conclude that the direct effect of

    intervention on exchange rates is either statistically insignificant or quantitatively

    unimportant [Rosenberg (1996)].6

    The objectives of intervention differ by country and from one period to the other. The

    BoJ has consistently pursued a policy of leaning against the wind. Whenever yen raised

    against the dollar, the BoJ bought dollars and sold yen to moderate the yens rise; and

    vice versa. While BoJ intervenes in order to moderate the trends in yen over time, the

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    Bundesbank does intervene primarily for domestic monetary control. However, at times,

    Bundesbank has compromised this objective in order to get the exchange rate in

    alignment with its long-run rate.7 In the case of dollar however Federal Reserve has

    never maintained a uniform policy for exchange rate management. While during 1978-

    80 it carried out major intervention to arrest dollars decline, the period between 1981

    and 1984 witnessed benign neglect toward dollars rise. In line with the Plaza Accord

    dollar was encouraged to decline during 1985-86 while during 1987-92 Federal Reserve

    promoted greater stability of dollar in line with Louvre Accord. From 1993 onward,

    Federal Reserve has encouraged the dollar to decline.

    IV. THE SIGNALING HYPOTHESIS

    Mussa (1981) has proposed that interventions are the indications to future course of

    monetary policy. Such signals could be particularly credible, since intervention would

    give the monetary authorities an open position in a foreign currency that would result in a

    loss if they failed to validate their signals. According to this signaling hypothesis, central

    bank may signal contractionary (expansionary) future monetary policy by selling

    (buying) the intervention currency in the foreign exchange market today. Therefore, the

    current sterilized intervention alters market perception about the future course of

    monetary policy according to which exchange rate will move even though sterilized

    intervention currently offsets the monetary effects. This signaling channel signifies that

    there is asymmetry of information between the central bank and the market participants

    on future fundamentals of the exchange rate.

    The signaling hypothesis may be illustrated by a standard asset-pricing-model approach

    to exchange rates.

    In the above process for nominal exchange rate, st is the log exchange rate at time t, ft

    represents the current period fundamentals, Et is the expectations operator, and is a

    ( ) ( )101

    jtf

    tE

    j

    jt

    s+

    ==

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    discount factor. Following the monetary models of exchange rate, the current exchange

    rate is the expected present discounted value of differences in the relative monetary

    conditions which are the fundamental determinants of exchange rates.8 Given the

    hypothesis that intervention at time t-k, nt-k help predict the future value of the

    fundamental determinant which follows a simple autoregressive process with the

    intervention signal entering exogenously together with a random disturbance term (t),

    the process of fundamental is given by

    where fis the autoregressive coefficient of fon its own lag and is the coefficient of kperiod lagged intervention. The variable n being the central banks net purchase of

    foreign currency (US$) its coefficient would assume a positive value for the signaling

    story is to be right. It signifies that the purchase of foreign currency (which is equivalent

    to sales of domestic currency) at t-ksignals an expansionary monetary policy in the future

    at time t. Similarly, the sale of foreign currency will be correlated with a tight monetary

    policy in the future. Some of the studies as explained earlier however have utilized the

    direct approach of estimating the following equation.

    whereEt+1ft+j Etft+jrepresents changes in expected fundamentals.

    The present study has mainly estimated the fundamental process (2) using broad money

    as the proxy for fundamental and measured the ability of intervention in terms of the

    estimate to forecast movements in the fundamental (expected monetary policy is being

    considered as the fundamental). The hypothesis is that the purchase (sales) of US$

    against rupee invokes the expectation of monetary expansion (tightening).

    )2(1 tkt

    nt

    fft

    f +

    +

    =

    ( )3101 ttn

    jtf

    tE

    jtf

    tE ++=

    +

    ++

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    V. EMPIRICAL TEST AND DISCUSSION OF RESULTS

    The table-1 and 2 contain the results of various tests. The frequency table and the 2test

    indicate that intervention and exchange rates are interdependent. But the movement of

    exchange rate has not largely been in the direction that intervention ideally leads to. It is

    observed that in 48 cases out of 70 data points rupee appreciated (depreciated) when RBI

    was the net buyer (seller) of US$ while it moved in the expected direction in only 22

    cases. Moreover, it would be interesting to note from the figure-1 that the exchange rate

    remained more or less stable during 1996:4 1997:10 and 1998:8 2000:4 when RBI

    continued to be the net buyer of US$ from the market during the former period while it

    was not a consistent buyer during the later period. As the figure shows, RBI has turned

    out to be a net buyer of US$ when rupee was sliding. For instance, between October

    1998 and March 1999 rupee depreciated from 42.25/US$ to 42.43/US$ while RBI has

    undertaken a net purchase of dollar to the tune of Rs. 10,879 during this period. Thus the

    visual examination of the exchange rate and intervention data essentially indicates the

    fact that intervention has not been aiming at maintaining exchange rate or alternatively it

    has not been sufficient enough to pull the exchange rate in desired direction.

    The test of central banks policy of leaning against the wind has been carried out byestimating an intervention equation. A positive coefficient for exchange rate in the

    intervention equation is an indication of the practice of leaning against the wind which

    means that central bank prevents further appreciation (depreciation) of rupee by purchase

    (sale) of US$. The statistically significant and negative coefficient of exchange rate

    (Rs./US$) in the intervention equation signifies that the central bank purchases US$ when

    its price in terms of Indian rupee is low and vice versa. However, the variation in

    monetary base found to have insignificant influence on the intervention decisions.

    The figure-2 further confirms the fact that exchange rate (and intervention) does not

    reflect the monetary conditions. Ideally, if the transmission mechanism works, the

    monetary growth and currency value should move in opposite directions i.e., positive

    growth in money supply should be offset by depreciation of exchange rates. The period

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    of stable exchange rate between March 1993 and August 1995 has been the period of

    wild fluctuations in money supply growth ranging between 14 per cent to as high as 22

    per cent. In spite of this, rupee remained relatively stable at around 31.50/US$ until

    August 1995. In September 1995, rupee closed at 34.00/US$ and subsequently remained

    stable at around 35.00/US$ until July 1997. A tighter monetary policy during 1995-97

    has brought down the growth of money supply to around 16 per cent on an average.

    Further, rupee depreciated subsequently to move from 36.50/US$ to 42.50/US$ between

    August 1997 and June 1998, and thereafter it was stabilized. Though money supply has

    not grown beyond 16 per cent during this period, the fall in rupee value was on account

    of declining capital inflow and weak export growth.9

    Following Genberg (1976), a standard sterilization equation has been estimated to see

    what extent the central bank sterilizes reserve flows. The estimated coefficient values of

    foreign currency reserves (sterilization coefficient) and central banks net credit to

    government in the sterilization equation capture the thrust of monetary policy to sterilize

    the impact of reserve flows on monetary base. Under complete sterilization, the

    coefficient of reserves would be 1 and in the absence of sterilization its value would be

    zero. However, the estimated sterilization coefficient is 0.23, which signifies that RBI

    sterilizes a major portion of reserve flow. There is some supporting evidence to the

    signaling hypothesis as well. The test of signaling hypothesis is based on the estimates of

    the equation (2) in which money supply is being used as a proxy for the fundamental

    factorft. The positive coefficient of lagged intervention signifies that purchases of US$

    are correlated with expansionary monetary policy. A very low coefficient value of

    lagged intervention in the estimated equation indicates that it has only a marginal impact

    on money supply. The direct approach of testing signaling hypothesis using equation (3)

    has also not provided substantive evidence to confirm that intervention signals future

    monetary conditions.

    The results from test of causality indicate that intervention does not have any significant

    causal relationship with monetary variable and exchange rate. However, the result shows

    that, as expected, intervention causes changes in the level of foreign currency reserves.

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    This gives an indication to the fact that RBI has not been buying (selling) dollars when

    rupee becomes stronger (weaker) and reserve level rises (falls).

    VI. Conclusion

    The present study has attempted to empirically examine the impact of central banks

    intervention on exchange rate and future monetary policy in the Indian context. It is

    emerged from the analysis that the intervention did not have stabilizing effect on

    exchange rate. On the contrary, the result showed that the central bank accumulates

    foreign currency when it is cheaper and offloads when it is dearer in terms of domestic

    currency. The central bank however has used intervention, though not very significantly,

    for signaling future course of monetary policy. To conclude, any study in the above

    directions would ideally use the daily exchange rate and intervention data. The monthly

    data as has been utilized by the present study owing to the non-availability of daily

    intervention data limited the results of the study to certain extent.

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    Table-1: 2Test and Estimated Regression Equations

    2Test

    Number of months that Rs./US$ rateAppreciated when RBI is net buyer of US$ 23Depreciated when RBI is net buyer of US$ 22Appreciated when RBI is net seller of US$ 0Depreciated when RBI is net seller of US$ 25

    Total 70

    Chi-square 19.1*

    Estimated Regression Equations

    Intervention equation

    nt = + 1st+ 2 bt + t0.14 -4.42 1.76

    (0.44) (-2.01)** (1.23)

    R2= 0.21 SEE = 0.29 D-W = 2.01 = -0.36(-3.04)

    Sterilization equation

    bt = + 1rt + 2gt + t0.003 0.24 0.27(0.96) (3.51)* (4.79)*

    R2= 0.31 SEE = 0.02 D-W = 2.20

    Test of Signaling Hypothesis

    1. mt = + 1mt-1 + 2nt-1+ t0.02 -0.043 0.01

    (7.41)* (-0.36) (1.90)***

    R2= 0.05 SEE = 0.008 D-W = 2.01

    2.

    mt+1 mt = + 1nt+ t0.01 0.01(13.5)* (1.88)***

    R2= 0.05 SEE = 0.008 D-W = 2.09Refer appendix for definition of variables and their notations.D-W is the Durbin-Watson statistic and values in parentheses indicate t-statistic.One, two and three asterisks indicate significance at 1%, 5% and 10% levels respectively.

    is the first order autoregressive parameter.

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    Table-2: Results of Granger Causality Test

    mt-1 mt-2 nt-1 nt-2

    mt -0.05 (-0.38) -0.029 (-0.23) 0.01 (1.67) -0.0004 (-0.106)nt 2.33 (0.49) -1.74 (-0.37) -0.41 (-3.11) -0.12 (-0.90)

    P-value for ntcauses mt: 0.18, F-statistic F(2, 64)= 1.77

    P-value for mtcauses nt: 0.82, F-statistic F(2, 64)= 0.196

    rt-1 rt-2 nt-1 nt-2

    rt -0.56 (-3.60) 0.20 (1.17) 0.067 (3.54) 0.029 (1.74)nt -3.63 (-2.74) -0.58 (-0.40) -0.14 (-0.85) 0.07 (0.47)

    P-value for ntcauses rt: 0.003, F-statistic F(2, 64)= 6.53P-value for rtcauses nt: 0.024, F-statistic F(2, 64)= 3.94

    st-1 st-2 nt-1 nt-2

    st 0.19 (1.44) -0.20 (-1.58) -0.006 (-0.96) 0.002 (0.31)

    nt 0.013 (0.005) 1.19 (0.454) -0.389 (-2.95) -0.098 (-0.741)

    P-value for ntcausesst: 0.49, F-statistic F(2, 64)= 0.732P-value forstcauses nt: 0.899, F-statistic F(2, 64)= 0.106

    The values in parentheses indicate t-statistic.

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    Figure 1: RBI's Intervention and Exchange Rate Movements

    -7500

    -2500

    2500

    7500

    12500

    17500

    199

    5

    6

    199

    5

    8

    1995

    10

    1995

    12

    199

    6

    2

    199

    6

    4

    199

    6

    6

    199

    6

    8

    1996

    10

    1996

    12

    199

    7

    2

    199

    7

    4

    199

    7

    6

    199

    7

    8

    1997

    10

    1997

    12

    199

    8

    2

    199

    8

    4

    199

    8

    6

    199

    8

    8

    1998

    10

    1998

    12

    199

    9

    2

    199

    9

    4

    199

    9

    6

    199

    9

    8

    1999

    10

    1999

    12

    200

    0

    2

    200

    0

    4

    200

    0

    6

    200

    0

    8

    2000

    10

    2000

    12

    200

    1

    2

    200

    1

    4

    Year and Month

    US$PurchasebyRBI

    (inRs.

    Crore)

    0

    5

    10

    15

    20

    25

    30

    35

    40

    45

    50

    Rs/US$exchangerates

    Rs/US$ rates

    US$ Purchase

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    Figure 2: Monetary Growth and Exchange Rates

    10

    15

    20

    25

    30

    35

    40

    45

    50

    1995

    6

    1995

    9

    1995

    12

    1996

    3

    1996

    6

    1996

    9

    1996

    12

    1997

    3

    1997

    6

    1997

    9

    1997

    12

    1998

    3

    1998

    6

    1998

    9

    1998

    12

    1999

    3

    1999

    6

    1999

    9

    1999

    12

    2000

    3

    2000

    6

    2000

    9

    2000

    12

    2001

    3

    Year and Month

    Rs/US$Rates

    10.00

    12.00

    14.00

    16.00

    18.00

    20.00

    22.00

    24.00

    M3 growth

    Rs/US$ rates

    M3growthrates

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    ENDNOTES

    1. In the Indian context, Reserve Bank of India uses US$ as the intervention currencywhich is being bought and sold against Indian rupee in the market.

    2. There are also studies, e.g., Neely (2000) which deal with mechanics, timing,instruments and purpose of secrecy of intervention which are not being reviewed

    here.

    3. This study is the most recent one to offer a fairly comprehensive survey of research inthe area of central bank intervention.

    4. Friedman in his seminal work on flexible exchange rate system has argued that acentral bank which was stabilizing the exchange rate would tend to buy foreign

    exchange when its price was low, and sell when its price was high, and hence itsoperations would be profitable. Taking the cue from this intervention rule it is argued

    that the existence of profits over long periods provides a strong case for the view that

    central bank intervention has been effective in stabilizing the exchange rate.

    5. The test proposed by Wonnacott (1982) indicates that intervention is stabilizing if itreduces the variance of exchange rate around its trend. It involves measuring whether

    the direction of intervention is consistent with pushing the exchange rate back

    towards its long-run moving average.

    6. Against the consensus view in the early 1980s that central bank intervention isineffective, Dominguez and Frankel (1993) in their seminal study argue that when the

    authorities are prepared to intervene at a particular upper or lower limit they will

    achieve a higher degree of success in stabilizing the currency with a smaller amount

    of intervention if they publicly announce these limits ahead of time. In the light of

    these findings, the Committee on Capital Account Convertibility in India headed by

    Shri. S.S. Tarapore recommended that a REER-monitoring band be declared to enable

    the participants to anchor expectations on when RBI would intervene and when it

    would not for making its intervention more effective [Tarapore (1997)].

    7. After the formal unification of Europe, Bundesbank implements exchange rate policyand conducts foreign exchange operations consistent with the provisions of Article

    109 of the Treaty of European Union.

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    8. In the formulation of ft, it is assumed that the growth of money supply in rest of theworld was constant. Therefore,ft represented the change in money supply conditions

    in the domestic economy alone.

    9. The impact of monetary policy on the behavior of rupee exchange rate andinternational reserves in the Indian context has been empirically examined in

    Sahadevan (1999) using Girton-Roper model of exchange market pressure.

    APPENDIX

    Definition of Variables and Methodology of the Study

    The present study has been carried out on monthly data for a period starting from June

    1995 through May 2001. The choice of starting period of the sample coincides with the

    availability of data on RBIs intervention. The variables used in the study are defined as

    follows: reserve money (b), broad money (m) i.e. M1 plus time deposit liabilities of

    banks, foreign exchange reserves (r) is the rupee value of foreign currency assets with

    RBI, exchange rate (s) is the monthly average rate of the rupee vis--vis US$ which is

    measured in rupees per unit of US$, and central banks net credit to government (g) is the

    central governments net borrowings from RBI. The intervention variable (n) is the rupee

    equivalent of monthly net purchase (positive values)/net sales (negative values) of US$

    by the Reserve Bank of India in the spot and forward segments. The sources of data are

    RBI BulletinandRBI Handbook of Statistics on Indian Economy.

    The ordinary least square (OLS) method is used for estimating the equations specified in

    section IV. The possibility of serial correlation problem has been verified by using

    Durbin-Watson test statistics the values of which are reported against all estimated

    equations. In those cases where serial correlation is detected, the coefficient estimatesare adjusted by using Cochrane-Orcutt method and the first order autoregressive

    parameter () is reported along with its t-statistics. The causality between intervention,

    monetary variable and foreign exchange reserves has been tested using Granger test

    which is based on a simple logic that a variable Yis caused by X if Y can be predicted

    better from past values of YandXthan from past values of Yalone.

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