Multi-level analysis of dynamic portfolio formations: Central European countries

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 conditional correlation matrices. The analysis includes a comparison of global minimum variance (GMV) and newly proposed least correlated assets (LCA) portfolio formations based on individual shares and market indexes. Performance of constituted portfolios showed that dynamic form of portfolio optimization is an efficient tool in profit maximization and volatility minimization. The study shows that there is a potential for improvements of proposed methods. LCA portfolio formation showed that the number of parameters could be effectively lowered without a loss of profit

Relationship between Czech and European developed stock markets: DCC MVGARCH analysis

The study concentrates on an analysis of the Czech stock market performed by an application of DCC MV GARCH model of Engle (2002). Data sample including years from 1994 to 2009 is represented by daily returns of Prague Stock Exchange index and other 11 major stock indices. There is found an existence of increasing trend in conditional correlations among a whole European region. The trend reveals breakpoints splitting a data series into three phases of development. The analysis includes a composition of returns adjusted by exchange rates capturing a point of view of global investors. The Czech Koruna exchange rate effects in a conjunction with equity returns are identified as a possible risk aversion instrument. Granger causality concept is added in order to find a development of data flow directions in a perspective of the Czech market. Results show that unidirectional influence of foreign markets affecting Czech market occurs in data series.stock market integration, multivariate analysis, dynamic modelling, conditional correlation

Relationship between Czech and European developed stock markets: DCC MV GARCH analysis

The study concentrates on an analysis of the Czech stock market performed by an application of DCC MV GARCH model of Engle (2002). Data sample including years from 1994 to 2009 is represented by daily returns of Prague Stock Exchange index and other 11 major stock indices. There is found an existence of increasing trend in conditional correlations among a whole European region. The trend reveals breakpoints splitting a data series into three phases of development. The analysis includes a composition of returns adjusted by exchange rates capturing a point of view of global investors. The Czech Koruna exchange rate effects in a conjunction with equity returns are identified as a possible risk aversion instrument. Granger causality concept is added in order to find a development of data flow directions in a perspective of the Czech market. Results show that unidirectional influence of foreign markets affecting Czech market occurs in data series

Volatilita akciového trhu v České republice : vzestupy a pády

The thesis concentrate on a volatility analysis os a stock market in the Czech Republic in years 1994-2009 including a comparison with a data available from world developed stock markets - namely European region, USA and Japan, econometric tools include GARCH model and its most popular derivates and generalisations I.E. IGARCH, EGARCH AND APARCH PROCESSES. The thesis is split into two main parts. The first part is devoted to a PSE volatility analysis based only on domestic data series involving GARCH class model estimations, forecasting abilities comparison and also a structural-break analysis based on the ICSS algorithm including the Inclan-Tiao test and its successors. Next part involves a dynamic analysis based on DCC MVGARCH model, which describes a change in a volatility spillover effect during the time. Data source used during the model estimation includes a development of stock indices and also net profits from point of view of Czech investor investing on global markets. It is furthermore supported by Granger causality estimation, which reveals a long-lasting unidirectional dependence of PSE on other developed markets. The complex results, which arise from a synergistic compound of particular econometric models, show that the stock market in the Czech Republic came through three main phases.Tato práce se zabývá analýzou volatility českého akciového trhu v letech 1994 až 2009 včetně srovnání s vyspělými světovými akciovými trhy - konkrétně se jedná o evropský region, USA a Japonsko. Nástroji ekonometrické analýzy jsou často užívané modely odvozené od původního procesu GARCH tzn. IGARCH, EGARCH a APARCH procesy. Práce je rozdělena do dvou hlavních částí. První část je věnována analýze volatility Burzy cenných papírů Praha založené pouze na domácích informacích. Analýza obsahuje odhady modelů GARCH, srovnání jejich schopností předpovídání a rovněž část věnovanou strukturálním zlomům založené na ICSS algoritmu, Inclan-Tiao testu a jeho upravených verzích. Další část se zabývá dynamickou analýzou založenou na DCC MVGARCH modelu, který popisuje vývoj volatility spillover efektů během pozorovaného období. Datový zdroj využitý při odhadu modelu obsahuje vývoj hodnot akciových indexů i čistých výnosů z pohledu českého investora investujícím na globálních trzích. Analýza je dále podpořena výpočty Grangerovy kausality, která odhaluje dlouhodobou jednosměrnou závislost BCPP na ostatních vyspělých trzích. KOMPLEXNÍ VÝSLEDKY, KTERÉ VYCHÁZÍ ZE SYNERGICKÉHO SPOJENÍ KONKRÉTNÍCH EKONOMETRICKÝCH MODELŮ UKAZUJÍ, ŽE ČESKÝ AKCIOVÝ TRH PROŠEL TŘEMI FÁZEMI VÝVOJE.Institut ekonomických studiíInstitute of Economic StudiesFaculty of Social SciencesFakulta sociálních vě

The Decentralization Tradeoff for Complementary Spillovers

We examine a symmetric two-district setting with spillovers of local public spending where a spill-in from the foreign spending is not a substitute, but a complement to domestic spending. Specifically, we assume production of two district-specific public goods out of two complementary district-specific inputs. We compare equilibria in non-cooperative decentralization and cooperative centralization for different spillovers, complementarities and cost-division rules, and control for the effects of strategic delegation and the feasibility of voluntary contributions to the input in the foreign district. We find that centralization welfare-dominates decentralization in most institutional settings and for a wide range of parameters, yet we can also identify necessary and sufficient conditions for decentralization to welfare-dominate centralization. The setup features three novelties: In the absence of transfers, welfare in decentralization increases in spillovers, strategic delegation in decentralization improves welfare, and centralized provision may be non-monotonic in spillovers

Local Government Efficiency: Evidence from the Czech Municipalities

We measure cost efficiency of 202 Czech municipalities of extended scope in period 2003-2008. The study is the first application of overall efficiency measurement of the local governments in the new EU member states, and the second in post-communist countries. We measure government efficiency through established quantitative and qualitative indicators of the provision of education, cultural facilities, infrastructure and other local services. First, we employ non-parametric approach of the data envelopment analysis and adjust the efficiency scores by bootstrapping. Second, we employ the stochastic frontier analysis and control for effects of various demographic, economic, and political variables. We compare scores under our preferred specification, i.e. pseudo-translog time-variant stochastic-frontier analysis with determinants, with alternative scores. The determinants that robustly increase inefficiency are population size, distance to the regional center, share of university-educated citizens, capital expenditures, subsidies per capita, and the share of self-generated revenues. Concerning political variables, increase in party concentration and the voters' involvement increases efficiency, and local council with a lower share of left-wing representatives also tend to be more efficient. We interpret determinants both as indicators of slack, non-discretionary inputs, and unobservable outputs. The analysis is conducted also for the period 1994-1996, where political variables appear to influence inefficiency in a structurally different way. From comparison of the two periods, we obtain that small municipalities improve efficiency significantly more that large municipalities

Volatilita akciového trhu v ČR:Vzestupy a pády

A stock market came through a significant development in the Czech Republic; from its artificial beginning, through a fierce decline in listed companies, to a gradual rise in the market capitalization, which was suddenly turned off by a global financial crisis in 2008. The diploma thesis concentrate on a volatility analysis of a stock market in the Czech Republic in years 1994- 2009 including a comparison with a data available from world developed stock markets - namely European region, USA and Japan. The most important and influential events concerning world markets and also a development of Prague Stock Exchange are included in the analysis. Econometric tools includes GARCH model and its most popular derivatives and generalisations i.e. IGARCH, EGARCH and APARCH processes. The thesis is split into two main parts. The first part is devoted to a PSE volatility analysis based only on domestic data series involving GARCH class models estimations, a forecasting abilities comparison and also a structural-break analysis based on the ICSS algorithm including the Inclan-Tiao test and its successors. Next part involves a dynamic analysis based on the DCC MVGARCH model, which describes a change in a volatility spillover effect during the time. It is furthermore supported by the Granger causality..

The Stock Market Volatility in the Czech Republic: Rises and Falls

A stock market came through a significant development in the Czech Republic; from its artificial beginning, through a fierce decline in listed companies, to a gradual rise in the market capitalization, which was suddenly turned off by a global financial crisis in 2008. The diploma thesis concentrate on a volatility analysis of a stock market in the Czech Republic in years 1994- 2009 including a comparison with a data available from world developed stock markets - namely European region, USA and Japan. The most important and influential events concerning world markets and also a development of Prague Stock Exchange are included in the analysis. Econometric tools includes GARCH model and its most popular derivatives and generalisations i.e. IGARCH, EGARCH and APARCH processes. The thesis is split into two main parts. The first part is devoted to a PSE volatility analysis based only on domestic data series involving GARCH class models estimations, a forecasting abilities comparison and also a structural-break analysis based on the ICSS algorithm including the Inclan-Tiao test and its successors. Next part involves a dynamic analysis based on the DCC MVGARCH model, which describes a change in a volatility spillover effect during the time. It is furthermore supported by the Granger causality..

The stock market volatility in the Czech Republic : rises and falls

The thesis concentrate on a volatility analysis os a stock market in the Czech Republic in years 1994-2009 including a comparison with a data available from world developed stock markets - namely European region, USA and Japan, econometric tools include GARCH model and its most popular derivates and generalisations I.E. IGARCH, EGARCH AND APARCH PROCESSES. The thesis is split into two main parts. The first part is devoted to a PSE volatility analysis based only on domestic data series involving GARCH class model estimations, forecasting abilities comparison and also a structural-break analysis based on the ICSS algorithm including the Inclan-Tiao test and its successors. Next part involves a dynamic analysis based on DCC MVGARCH model, which describes a change in a volatility spillover effect during the time. Data source used during the model estimation includes a development of stock indices and also net profits from point of view of Czech investor investing on global markets. It is furthermore supported by Granger causality estimation, which reveals a long-lasting unidirectional dependence of PSE on other developed markets. The complex results, which arise from a synergistic compound of particular econometric models, show that the stock market in the Czech Republic came through three main phases

Stock exchange in the Czech Republic : entry conditions

The bachelor thesis concentrate on evaluation of conditions for using common stock financing. We explain motivation for using diffent kind of financing methods from corporate finance and corporate governance point of view and put emphasis on relationship between debt and equity financing. We evaluate influences of stock market development, institutional framework and entry procedure problems. We come to conclusion that effects, which formerly caused prevalence of debt financing and obstructed effective stock market functioning, are developing in favour of common stock financing. Powered by TCPDF (www.tcpdf.org