Modelling Monetary Policy of the Bank of Russia



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Modelling Monetary Policy of the Bank of Russia Yulia Vymyatnina Department of Economics European University at St.Peterbsurg Monetary Policy in central and Eastern Europe Tutzing, 8-10 July 2009

Outline of Russia s monetary policy developments 1. January 1992 June 1995; high inflation; dirty floating exchange rate regime in 1993 June 1995; vague monetary and fiscal policy. 2. June 1995 August 1998; new Law on Bank of Russia passed in April 1995; crawling band exchange regime; steady decreasing inflation trend; sharp decline of interest rates on the inter-bank market. 2

Outline of Russia s monetary policy developments 3. August 1998 February 1999; dirty floating, depreciation of rouble by 70%, high inflation (increasing trend); monetary expansion in response to fiscal problems. 4. March 1999 January 2003; stable exchange rate, decreasing inflation trend high rate of monetary expansion due to increase in net foreign assets. 5. January 2003 December 2007; nominal appreciation of rouble, decreasing trend of inflation, monetary expansion due to increase in net foreign assets and credit to private sector. 3

Inflation, interbank rate and GKO yield 300 250 200 150 100 50 0-50 45 40 35 30 25 20 15 10 5 0-5 4 01.01.1995 01.01.1996 01.01.1997 01.01.1998 01.01.1999 01.01.2000 01.01.2001 01.01.2002 01.01.2003 01.01.2004 01.01.2005 01.01.2006 01.01.2007 Interbank rate, % GKO Yield, % CPI, %

Basic directions of Russian monetary policy Inflation targeting (7.5 8.5% in 2005; 5.0-6.5% in 2007) Intermediate targeting of monetary aggregates (M0 and M2) under admitted instability of money demand Major tools: interventions on foreign exchange market, adjustments of monetary base Attempts to make interest rates the major tool of monetary policy (since 1999 till now) 5

Basic directions of Russian monetary policy In order for the Bank of Russia to exercise control over M0 and M2 with the aim of reducing inflation a stable money demand function should exist. The current practice of reliance by the Bank of Russia on the use of monetary aggregates as tools of monetary policy is justified by the weakness of financial system and non-responsiveness of economy to changes in interest rate. 6

Orthodox monetary theory Money supply is controlled by the Central Bank via high-powered money. Money multiplier can be regulated by the Central Bank. Assumption of stable demand for money function. Inflation is the result of excessive money supply. 7

Orthodox monetary theory Increase in money supply Excess supply of money Fall in the rate of interest Increase in the quantity of money demanded Increase in consumption and investment Increase in aggregate demand Source: Howells P.G.A., Bain K., Monetary Economics: Policy and Its Theoretical Basis, 2003 8

Heterodox monetary theory Money supply is determined within the economic system by its need in credit. Central Bank can effectively control the interest rate rather than money supply. Money demand function is viewed to be unstable and highly volatile. Inflation usually is considered to be the cause, not the consequence of increase in money supply. 9

Heterodox monetary theory Official interest rate Market interest rates Asset prices Expectations/ confidence Exchange rate Domestic demand Net external demand Total aggregate demand Source: Howells P.G.A., Bain K., Monetary Economics: Policy and Its Theoretical Basis, 2003 10

Summary of causality implications Orthodox approach Accommodationist approach Structuralist approach New-Keynesian credit view M0 Credit M3 Credit Credit M0 Credit M3 Credit M0 Credit M3 Credit M0 Credit M3 M3 money income M3 money income M3 money income M3 money income M3 inflation Inflation M3 Inflation M3 M3 inflation 11

Sources of money endogeneity in transition economies New sector of economy private, developing according to the market economy rules. Corresponds to the structuralist approach views. Old sector of economy state-owned, working due to support of (local) authorities. Corresponds to accommodationist approach view. 12

Credit to private non-financial sector, mln. RUB 12 100 000,00 10 100 000,00 8 100 000,00 6 100 000,00 4 100 000,00 2 100 000,00 100 000,00 июл.95 июл.96 июл.97 июл.98 июл.99 июл.00 июл.01 июл.02 июл.03 июл.04 июл.05 июл.06 июл.07 13

Econometric methodology By studying causality links between monetary aggregates, credit and money income one can make an indirect inquiry into the nature of transmission mechanism of monetary policy. Granger causality tests for the appropriate VAR-models were used. 14

Data (July 1995 December 2007) Money base (Bank of Russia) Credit to non-financial private sector (Bank of Russia) Credit to state non-financial enterprises (Bank of Russia) Money mass, M3 definition (Bank of Russia) Monthly real GDP (estimation of the Ministry of Finance) CPI (State Statistical Committee) 15

Empirical results Accepted theory Credit indicator July 1995 Dec. 2007 July 1995 July 1998 January 1999 Dec. 2007 Credit to state enterprises Accommodationist approach Conclusions cannot be drawn Accommodationist approach Credit to private nonfinancial sector Structuralist approach Conclusions cannot be drawn Conclusions cannot be drawn Total credit to non-financial sector Structuralist approach Structuralist approach Structuralist approach 16

Policy implications Results received support endogenous money supply view, which implies that interest rate is a more efficient policy instrument. Bank of Russia might gain better results by concentrating on interest rate control, indirect regulation of credit activities of commercial banks (e.g. using norms on reserves for losses on loans in the same fashion as obligatory reservation ratios on deposits) and introducing more control over credits to state enterprises. 17

Comparison of different instruments of monetary policy effectiveness Five-equation VECM estimation in the form: Γ Δ = +ΓΔ + +ΓΔ +Ψ + ε ' x αβ x x... x D 0 t t 1 1 t 1 4 t 4 t t Estimation of structural constraints imposed on VECM Comparison between effectiveness of different tools of monetary policy 18

Data (July 1995 December 2007) Monthly data in logarithms: M3 monetary aggregate (m3), Price level (p), Monthly real GDP (y), Average monthly exchange rate (e) Ruble-USD exchange rate Effective exchange rate (with USD and Euro), interest rate on the inter-bank market (i). 19

Description of VECMs Tested for misspecification (normality, heteroscedasticity, residual autocorrelation) 1995-2007, RUB/USD: 3 lags 1995-2007, eff.exch.rate: 4 lags 1999-2007, RUB/USD: 4 lags 1999-2007, eff.exch.rate: 5 lags 20

Cointegrating relations Sample, exchange rate type 1995-2007; RUB/USD 1995-2007; Eff.exch.rate 1999-2007; RUB/USD 1999-2007; Eff.exch.rate Cointegration equation m3 p = 1.74 y 3.48i 0.06e t t t t t m3 p = 1.73y 2.33i 0.07e t t t t t m3 p = 1.99 y 2.73i + 0.69e t t t t t m3 p = 1.83y 1.67i + 0.98e t t t t t 21

Structural model The structural matrix corresponding to the innovations was constructed on the basis of: Bank of Russia reaction rule, aggregate demand equation, augmented Phillips curve, term structure of interest rates, and balance of payments. 22

Structural model Resulting matrix of links between innovations and structural shocks was the following: MS 1 0 0 γ γ ξ 14 15 m2 AD γ21 1 γ23 0 γ 25 ξ p ε AS 0 γ32 1 γ34 γ 35 ξy = ε TS 0 γ 42 0 1 γ45 ξi ε BP γ51 γ52 γ53 γ54 1 ξ e ε Hypothesis of over-identification imposed by this matrix was not rejected. ε 23

Impulse response functions: innovations in money mass, 1999-2007 Response to Structural One S.D. Innovations.002 Response of DP to Shock1.000 -.002 -.004 -.006 -.008 -.010 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30.008 Response of DY to Shock1.004.000 -.004 -.008 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 24

Impulse response functions: innovations in interest rate, 1999-2007 Response to Structural One S.D. Innovations.024 Response of DP to Shock4.020.016.012.008.004.000 -.004 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30.005 Response of DY to Shock4.000 -.005 -.010 -.015 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 25

Impulse response functions: innovations in exchange rate, 1999-2007 Response to Structural One S.D. Innovations.002 Response of DP to Shock5.000 -.002 -.004 -.006 -.008 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30.010 Response of DY to Shock5.008.006.004.002.000 -.002 -.004 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 26

Analysis Managing money mass and exchange rate produces gives similar results Inflation reacts more to changes in the interest rates, but the period of stabilisation is shorter, and there s some period of lower inflation GDP also stabilises quicker with the use of interest rates as monetary policy instrument 27

Conclusions Bank of Russia has limited control over money supply To achieve better results in terms of inflation targeting credit activity of banks has to be regulated more Interest rate management might give better results in terms of desired changes in inflation and GDP compared with exchange rate targeting or money supply control 28