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The main purpose of this article is to construct an optimal, fundamental portfolio using multivariate compare analysis methods with dynamical parameters. The article consist of two parts. The first part is methodological, and the second is empirical one.
EN
The article presents an application of chosen multi-criteria decision making method - the AHP method, under conditions of linear par tial information, in portfolio selection. Selecting a portfolio is a problem of choosing these quoted companies that give good profit. The problem of building a portfolio can be treated as a multi-criteria problem where some diagnostic features that characterize financial and economic condition of companies can be used as criteria. In the paper, the multi-criteria decision making method AHP was used under conditions of linear partial information (the criteria weights are not known precisely, only some linear cons traints on them are known). The approach enables to create a ranking of considered objec ts and may help to select the best listed companies to the portfolio.
EN
The dynamic development of the investment funds market in Poland lets us carry out research regarding different aspects of their functioning. A potential participant of the funds must especially answer such questions as: Which fund should he choose?, Has already chosen fund got any chances to become the leader for a longer period of time? The work is devoted to one of the variants of answering the problem that is being discussed, especially it analyses the repetitiveness of the FIO investment results achieved in 2003-2007 and 2007-2011. From the funds' customers' points of view, this is a fundamental issue because entrusting their savings with a "good" fund, one wants to know whether it still will be achieving satisfactory investment results. Maybe a good ranking position at a certain moment is accidental? The research was done on the funds from different risk categories such as equity funds, balanced ones.
EN
In the paper models of share portfolio selection with first order or second order almost stochastic dominance constraints (for discrete random variables) are proposed. There are several simple examples as an illustration of our models.
EN
The stochastic dominance rules are a very popular tool in the support of decision making in various fields of economics and management. However the selection of the best alternative on the basis of stochastic dominance is sometimes impossible due to incomparability of alternatives. Some particular properties of almost second degree stochastic dominance (which stochastic dominance do not posses) allow to compare all elements of the set of random alternatives and to build a ranking of them. The aim of the article is to propose a stocks preselection method based on almost stochastic dominance. Our method allow to determine the set of the best stocks and thereby to reduce the number of stocks as a potential elements of a portfolio. Such reduction is very important nowadays because with every year more and more stocks are quoted on Stock Exchange in Warsaw.
EN
Brokerage recommendations suggest investors buying or selling financial instruments. Their quality is variable in long time and is better during up-trends. But the most surprising thing is optimism of financial institutions - they recommend buying stocks (over 70% cases!) despite of bad sentiments and bear trends on the markets. In the article the results of Polish blue-chip stocks recommendation exploration are presented. It covers 2007-2011 and tries to explain why during hard times there are significant dominance of buying "recos".
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