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Functional Signal plus Noise (FSN) time series models are introduced for the econometric analysis of the dynamics of a large cross-section of prices in which contemporaneous observations are functionally related. A semiparametric FSN model is developed in which a smooth, cubic spline signal...
Persistent link: https://www.econbiz.de/10005687558
In this paper we analyze the dynamic conditional correlations between CEE stock markets (also known as countries from Vysehrad Group - V4) and developed European stock markets, with German DAX utilized as a benchmark. Our methodology is based on the DCC MV-GARCH approach. It is shown that the...
Persistent link: https://www.econbiz.de/10008564639
This paper presents cointegration analyses of the import and export functions of the Czech Republic in 1993-1998 by identifying the main variable factors and estimating the long-run equilibrium relationship of Czech foreign trade functions. A long-run equilibrium relationship was found in the...
Persistent link: https://www.econbiz.de/10008549708
In this paper the authors try to measure production gap in the Czech Republic and, consequently, non-accelerating inflation product (NAIP) as an approximation of potential product. NAIP is treated as an unobservable variable, to which an augmented Phillips curve plays a key role in its...
Persistent link: https://www.econbiz.de/10008495652
This paper aims at constructing a model of a small open economy of the Slovak Republic. In essence, the model represents a synthesis of already published modifications of the Mundell - Fleming type of models, describing the market of goods and services in interaction with the money market and...
Persistent link: https://www.econbiz.de/10005036624
Tento článok sa venuje obchodovaniu na svetových menových trhoch Forex, ktorý sa nazýva trading. Venuje sa taktiež aj jeho základným pilierom, ktoré sú nepostrádateľnou súčasťou obchodovania každého úspešného obchodníka - tradera. Jedná sa o objasnenie pohľadu na trading...
Persistent link: https://www.econbiz.de/10008682038
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