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Alternative Concept of the Feldstein-Horioka Model under a Variable Parameter Assumption: a Study of the Czech Republic's Accession to the European Union We investigate the impact of the Czech Republic's membership in the European Union on capital mobility. Our estimation of capital mobility is based on the alternative Feldstein-Horioka model. The model comes from intertemporal budget constraints with the additional assumption of a different data generation process. We propose an empirical framework to capture two different regimes in the vector error correction model. We show that the period 1996-2004 is composed of both regimes. The most important conclusion is that the period 1996-2004 is connected with a mix of both regimes. However, the period 2005-2017 comprises only one regime, which is connected with higher capital mobility. Therefore, capital mobility in the Czech Republic increased after 2004.

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The manufacturing industry represents the most important part of gross output in the Czech Republic. In the long run, it is necessary for the Czech industry to be competitive. At the same time, it can be assumed that foreign pressure on the Czech manufacturing industry will at least partially transform into pressure on professional and scientific activities. Science and research thus play a key role. The aim of the article is to analyse the impact of work efficiency in the branch of professional, scientific, technical, administrative and support service activities (i.e. sections M and N of the CZ NACE classification of economic activities) on the manufacturing industry (section C). Productivity is measured as gross value added to the labor. The quarterly data of the Czech Statistical Office for the period 1995-2020 are used for the analysis. Time series are processed using a Census X12 filter; all variables are tested using the ADF test in two variants for the presence of a unit root. The testing of the long-term relationship is conducted by means of the Johansen test. The results show that both productivity delays in sector C and sectors M and N have a statistically significant impact on productivity in sector C. However, a positive productivity shock in sector C has a negative impact on current productivity and, conversely, a positive shock in productivity in branch M + N in t-1 is positively reflected in branch C at time t.

Asymmetry of Financial Time Series During the Financial Crisis: Asymmetric Volatility Outperforms the Asymmetric Importance of CorrelationWe have tested the stability of parameters loading the asymmetric behaviour of the correlation and the importance of this behavior on the portfolio selection. In this paper, we have analyzed the following time series S&P index, gold and CME 5-Year Treasury Note Futures during the most important crisis from 1992 to 2009. The methodology is based on the dynamic conditional correlation model and its asymmetric volatility and asymmetric correlation extensions. The stability of parameters was tested by t-test applied on the rol ling windows data. The information importance of asymmetric volatility and correlation was tested by global minimum variance portfolio. The results suggest that the parameters loading the asymmetric behavior of the correlation are not stable for the analyzed time series during the financial crisis. With one exception we have found out that global minimum variance portfolio based on the dynamic conditional correlation model with asymmetric volatility is significantly less volatile than the global minimum variance portfolio based on the asymmetric dynamic conditional correlation model.