Showing 1 - 10 of 13
Based on the equilibrium correction structure of a cointegrated vector autoregression it is rejected that US monetary policy 1988-2002 can be described by a traditional Taylor (1993) rule. Instead we find a stable long-term relationship between the Federal funds rate, the unemployment rate, and...
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This paper develops a constant, data-coherent, equilibrium correction model for broad money demand (M3) in Greece over 1976-1994. The aggregate M3 was targeted until recently, and current monetary policy still uses such aggregates as guidelines. In spite of financial innovation, financial...
Persistent link: https://www.econbiz.de/10005613053
New Keynesian model with wages and prices is introduced and estimated by maximum likelihood. The steady state relationships of the model are imposed as testable restrictions on the long-run cointegrating relationships in an equilibrium correction framework, giving an equilibrium correction model...
Persistent link: https://www.econbiz.de/10010681599
The paper focused on measuring efficiency of investment strategies and portfolio optimization based on dynamic portfolio formation using the global minimum variance approach in a region of central European countries. The paper analyses DCC GARCH model, which was employed in order to obtain...
Persistent link: https://www.econbiz.de/10010322273
Traditional macroeconometric models of the Australian economy estimate the behaviour of wage and price inflation separately, thereby ignoring the possibility that there is a contemporaneous relationship between these two variables. This thesis follows a recent trend emerging in other small open...
Persistent link: https://www.econbiz.de/10009438087
The paper focused on measuring efficiency of investment strategies and portfolio optimization based on dynamic portfolio formation using the global minimum variance approach in a region of central European countries. The paper analyses DCC GARCH model, which was employed in order to obtain...
Persistent link: https://www.econbiz.de/10009786883
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