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QUASI-BETA INDEX: MULTIDIMENSIONAL COMPARATIVE ANALYSIS APPLICATION TO DETERMINE RISK INDEX FOR STOCK INVESTMENTS ON WARSAW STOCK EXCHANGE (Indeks quasi-beta: Wykorzystanie wielowymiarowej analizy porownawczej do wyznaczania indeksu ryzyka inwestycji

100%
Cwynar W.
Finansowy Kwartalnik Internetowy e-Finanse
|
2010
|
vol. Special Issue
1-14
EN
Cost of capital is the key parameter when evaluating company's financial performance and valuing a firm or a project. The cost of equity calculation methods most commonly used in practice, are based on market data. When such a data is not available, classical methods used to determine required rate of return on equity capital are substituted with techniques based on accounting data. One of these techniques is multidimensional comparative analysis. This text shows an attempt to assess quasi-beta indices using multidimensional comparative analysis. Using five financial ratios calculated for companies from Warsaw Stock Exchange indices WIG20, mWIG40 and sWIG80, risk coefficients were determined as taxonomic measures of development, and then they were compared to traditional beta indices. The final results are promising – the highest values of quasi-beta indices are assigned to companies that are characterized by equally high values of beta coefficients (characterized by high volatility of stock returns compared to volatility of broad market returns).
2

COMPARATIVE ANALYSIS OFTHE MACROECONOMIC GOALS OF THE WINNING PARTIES IN POLAND OVER THE PERIOD 1997-2008 (Analiza porownawcza celow makroekonomicznych partii politycznych wygrywajacych wybory w latach 1997-2008)

88%
Targaszewska M.
Econometrics. Ekonometria. Advances in Applied Data Analytics
|
2011
|
issue 30 (Zastosowania metod ilościowych)
47-57
EN
The paper presents the results of comparative analysis of some macroeconomic goals (such as unemployment, national gross product, budget deficit, employment, salary and inflation). These objectives were included in pilot programs of winning parties in Poland over the period 1997-2008. A statistical method called Principle Components Analysis was applied in this research.
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