Multi-Level Analysis of Dynamic Portfolio Formations: Central European Countries
AbstractThe 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.
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Bibliographic InfoPaper provided by Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies in its series Working Papers IES with number 2013/12.
Date of creation: Aug 2013
Date of revision: Aug 2013
dynamic modelling; portfolio selection; GMV; regional analysis;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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