Suchergebnisse

The paper offers the modification of traditional portfolio optimization approach to construct the portfolio with possibility to control both systematic and specific risk (portfolio with risk decomposition). Built on modern econometric tools, the author estimates and forecasts the dynamics of alphas and betas of stocks in the frame of CAPM model, which are further applied for portfolio optimization. The closing weekly prices of 10 Australian stocks and ASX Index as the market index during the period from July 2000 to July 2016 were used. Within the sample there is no evidence of arbitrage on the Australian equity market employing neutral beta portfolio. The study confirms that portfolios with risk decomposition outperform Markowitz's one according to various performance indicators.

The paper presents an ARMA-DCC-GARCH model used for a quantitative analysis of dynamic linkages between 26 stock markets in three regions (Americas, Europe and Asia) over the period from 1995 to 2012. Dynamic conditional correlations between the international equity markets were tested to reveal contagion effects and its origins. It was found that the US market spreads shocks to the majority of international stock markets during the Dotcom crisis of 2000-2002 and the Financial Crisis of 2007-2009. The German, French and British markets are also proved to be contagion originators during the Financial Crisis of 2007-2009 and Eurozone Crisis of 2010-2012. The authors provide evidence that, the German and French markets transmitted a positive effect from euro currency adoption in 2002 through Europe. Concerning the linkages in Eastern and Northern European region Russia is found to be a source of contagion for the neighboring countries in time of Russian stock market index (RTSI) fall in 2008 and Banking Crisis in 2004, whereas Poland with the second biggest equity market capitalization affected much fewer countries in the area during the Financial Crisis of 2007-2009. Poland's entry into European Union in May 2004 had no impact on interrelationships between Polish and the other stock markets.

The study focuses on the identification of stable relations between the stock markets of three geographic regions, including pre- and post-crisis periods. The paper demonstrates the applicability of the ARMA-DCC-GARCH model, allowing to provide a detailed examination of the dynamic correlation between 26 stock markets in the three regions (America, Europe and Asia) over the period of 1995-2012. We examine the volatility spillover effects and conditional correlations among the international equity markets. The country stock index is considered as an indicator of market dynamics. The results show that the US market (S&P500 index) is the main volatility transmitter worldwide, whereas the UK, German and French markets are the sources of volatility for the European developed and emerging European equity markets. However, the German DAX index, contrary to some studies, cannot be considered as a dominant one in the European region, in spite of the leadership of the German economy. The study shows that the role of "exporting volatility" or volatility transmitter belongs to the UK stock market. We also found that the US, the UK, Germany and France have a greater influence on emerging markets rather than on developed ones. Between the two markets in the North and East European region (Russia and Poland) the dominant transmitter role belongs to Russia.