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: Examining Industry-state Relations in the Czech and Slovak Republics. Europe-Asia Studies , 52(1): 111–131. Gould J. Identity Politics and Economic Reform: Examining Industry
Economics & Politics 2010 22 62 392 Fisher, S. — Gould, J. — Haughton, T. (2007): Slovakia’s
Quarterly , 64 ( 1 ): 3 – 37 . Aliu , Fl. – Krasniqi , B. – Knapkova , A. – Fisnik Aliu , Fi : ( 2019 ): Interdependence and Risk Comparison of Slovak, Hungarian and Polish
In the past few years, several papers have been published in the international literature on the impact of the economic crisis on health and health care. However, there is limited knowledge on this topic regarding the Central and Eastern European (CEE) countries. The main aims of this study are to examine the effect of the financial crisis on health care spending in four CEE countries (the Czech Republic, Hungary, Poland and Slovakia) in comparison with the OECD countries. In this paper we also revised the literature for economic crisis related impact on health and health care system in these countries. OECD data released in 2012 were used to examine the differences in growth rates before and after the financial crisis. We examined the ratio of the average yearly growth rates of health expenditure expressed in USD (PPP) between 2008–2010 and 2000–2008. The classification of the OECD countries regarding “development” and “relative growth” resulted in four clusters. A large diversity of “relative growth” was observed across the countries in austerity conditions, however the changes significantly correlate with the average drop of GDP from 2008 to 2010. To conclude, it is difficult to capture visible evidence regarding the impact of the recession on the health and health care systems in the CEE countries due to the absence of the necessary data. For the same reason, governments in this region might have a limited capability to minimize the possible negative effects of the recession on health and health care systems.
Poland and Slovakia during the economic crisis 2008–2010
The influence of diverse exchange rate regimes
): Slovak Republic — Largest per capita car producer . http://www.acea.be/images/uploads/files/20081104_Slovakia_country_profile.pdf , accessed May 24, 2011 Fischer, S. (2008): Mundell-fleming Lecture: Exchange
, Z. – Bosá , M – Filadelfiová , J. – Gyárfášová , O. – Minarovič , M. – Sekulová , M. – Šumšalová , S. – Velšic , M. ( 2008 ): She and He in Slovakia. Gender and Age in the Period of Transition . Institute for Public Affairs
Barto, Martin (2000): Banking Sector in the Slovak Republic. In: Marcincin, Anton — Beblavý, Miroslav: Economic Policy in Slovakia 1990–1999 . Bratislava: SFPA & INEKO 358
: Westdeutscher Verlag , pp. 73 – 88 . Benčo , J. – Kamoďa , J. – Nemec , J. ( 2001 ): Kontrola vo verejnom sektore. [Control in the Public Sector] . Banská Bystrica (Slovakia) : Matej
. Potančoková , M. Starnutie populácie Slovenska [Ageing of the Slovak Population]. http://www.infostat.sk/vdc/pdf/StarnutieVDC.pdf , accessed 15 / 04 / 2018
Risk captured through the volatility of stock markets stands as the essential concern for financial investors. The financial crisis of 2008 demonstrated that stock markets are highly integrated. Slovakia, Hungary and Poland went through identical centralist economic arrangement, but nowadays operate under diverse stock markets, monetary system and tax structure. The study aims to measure the risk level of the Slovak Stock Market (SAX index), Budapest Stock Exchange (BUX index) and Poland Stock Market (WIG20 index) based on the portfolio diversification model. Results of the study provide information on the diversification benefits generated when SAX, BUX and WIG20 join their stock markets. The study considers that each stock index represents an independent portfolio. Portfolios are built to stand on the available companies that are listed on each stock index from 2007 till 2017. The results of the study show that BUX generates the lowest risk and highest weighted average return. In contrast, SAX is the riskiest portfolio but generates the lowest weighted average return. The results find that the stock prices of BUX have larger positive correlation than the stock prices of SAX. Moreover, the highest diversification benefits are realized when Portfolio SAX joins Portfolio BUX and the lowest diversification benefits are achieved when SAX joins WIG20.
