Abstract:In recent years there has been a particular interest in the relation between exchange rates and interest rates both in developed countries and emerging countries. This is understandable given the important role that these variables have in determining the movement of nominal and real economic variables, including the movement of domestic inflation, real output, exports and imports, foreign exchange reserves, etc. To realized the importance of the given instruments selected macroeconomic indicators, data analysis (monthly data) relating to Serbia was made on the basis of the Transfer Function Model, a data analysis (annual data) relating to emerging countries was done on the basis of the Stepvise Multiple Regression model. In the transfer function model we used the Maximum Likelihood method for assessing unknown coefficients. In the gradual multiple regression model we used the Least Square method for the evaluation of unknown coefficients. All indicator values were used in the original unmodified form, i.e. there was no need for a variety of transformations. Empirical analysis showed that the exchange rate is a more significant transmission mechanism than the interest rate both in emerging markets and Serbia.
This paper analyses the impact of central bank interventions in the inflation targeting regime. The results of empirical studies in this paper show if there is a shock of the exchange rate, which would lead to depreciation of the exchange rate, a central bank may decide to mush instability on the foreign exchange market with foreign exchange interventions, thereby preventing the sudden exchange rate depreciation, which would then require a smaller reaction by the interest rate. Namely, through foreign exchange interventions, the central bank greatly absorbs the depreciation shock and, consequently, inflation is lower. As a result of lower price growth, the need for a monetary policy response to an interest rate is also lower. Based on this example, we can see that central bank intervention in some cases can be very useful in order to correct disturbances in the foreign exchange market. Therefore, some central banks accumulate foreign exchange reserves at a very high level so as to have enough space for foreign exchange intervention, without the risk of falling foreign exchange reserves below the optimum level.
This paper analyses the effects of two alternative monetary strategies (exchange rate targeting and inflation targeting) on economic growth and employment. On the panel of 18 countries for the period from 1996 to 2013, I tested the hypothesis that countries in exchange rate targeting have a higher rate of GDP growth and lower inflation rate. In order to test the impact of exchange rate policy on economic growth and prices, I applied dynamic panel two stepwise method of least squares (2SLS method) and they were evaluated by two independent regression equation. In order to allow the comparison of results related to exchange rate targeting, the effects of the introduction of inflation targeting in the unemployment rate were also estimated using the panel method two stepwise least squares (2SLS method). Results of empirical studies show that countries with inflation targeting have a lower rate of economic growth and higher unemployment.
The basis for the conduct of monetary policy is monetary policy strategy. Monetary strategy is necessary for monetary policy makers to analyse all relevant information in order to undertake effective policy actions. Inflation targeting has enabled countries to achieve low inflation in the very short term. Due to this, the financial markets have adjusted their long-term inflation expectations and incorporated them into the interest rate. Risk premiums that compensate for the uncertainty of inflation have fallen. The aim of this paper is to examine how the adoption of inflation targeting affects the movement of the risk premium. The hypothesis we want to test is that the adoption of inflation targeting affects the reduction of the country risk premium by affecting the formation of a more stable macroeconomic environment through a more stable and predictable inflation rate in the medium and long term. The method used for evaluating the regression coefficients is the dynamic panel generalized method of moments (GMM). This method involves the use of conditional moments in endogenous and exogenous variables with a lag as instruments for the assessment of differential equations, while the difference lagged endogenous variables are used as instruments in the levels equation.
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