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Content available Zastosowanie metod wielowymiarowej analizy dyskryminacyjnej do oceny kondycji firm deweloperskich
100%
Zielińska-Sitkiewicz M.
Metody Ilościowe w Badaniach Ekonomicznych
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2012
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tom 13
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nr 3
288-301
PL
W pracy przedstawiono próbę ogólnej oceny kondycji wybranych firm deweloperskich notowanych na Warszawskiej Giełdzie Papierów Wartościowych. Wykorzystano modele wielowymiarowej analizy dyskryminacyjnej, opracowane w Polsce. Podjęto również próbę oceny wykorzystanych modeli. Do badania wybrano 17 dużych firm deweloperskich: GTC, ECHO, POLNORD, LCC, GANT, DOM DEVELOPMENT, RONSON, JW. CONSTRUCTION, ROBYG, TUP, TRITON, ALTERCO, CELTIC, EDINVEST, INPRO, JHMDEV oraz WIKANA. Analizie poddano dane finansowe spółek z bilansów i rachunków wyników w okresie od 1 stycznia 2005 do 31 grudnia 2011.
EN
The paper contains consideration about usage discriminant analysis in financial audit of developers. 17 major developers, which are listed on the Warsaw Stock Exchange ( WSE) were selected for study : GTC, ECHO, POLNORD, LCC, GANT, HOUSE DEVELOPMENT, RONSON, JW. CONSTRUCTION, ROBYG, TUP, TRITON, ALTERCO, CELTIC, EDINVEST, INPRO, JHMDEV and WIKANA. The analysis encompassed financial data from balance sheets and from profit and loss account in the period from January 1, 2005 to December 31, 2011.
2
Content available APPLICATION OF MULTIVARIATE DISCRIMINANT ANALYSIS FOR ASSESSMENT OF CONDITION OF CONSTRUCTION COMPANIES
100%
Zielińska-Sitkiewicz M.
Metody Ilościowe w Badaniach Ekonomicznych
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2013
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tom 14
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nr 2
298-308
EN
The construction is important in a market economy. From the development of the construction industry depends on large extent how the economy will function. Hence, the need for continuous monitoring of both –the market and the use of methods- that will objectively evaluate the quality of the construction companies. The paper contains consideration about usage discriminant analysis in financial audit of construction companies. 30 companies from construction sector, which are listed on the Warsaw Stock Exchange, were selected for study. The analysis encompassed financial data from balance sheets and from profit and loss account in the period from January 1, 2005 to December 31, 2012.
3
Content available APPLICATION OF MULTIVARIATE DISCRIMINANT ANALYSIS FOR PREDICTION OF BANKRUPTCY OF SELECTED CONSTRUCTION AND DEVELOPMENT COMPANIES
100%
Zielińska-Sitkiewicz M.
Metody Ilościowe w Badaniach Ekonomicznych
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2014
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tom 15
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nr 2
261-272
EN
Functioning of the company in the conditions of the free market competition depends on its flexible reactions to changes and the response speed to perturbations in the unstable economy. Entities, which are not able to keep up with the current changes, enter the path of crisis in the company, which last stage may be the bankruptcy. The paper presents an attempt to use and evaluate five Polish models of the multivariate discriminant analysis in forecasting the threat of bankruptcy. The analysis was conducted for the years 2008 – 2013. For the study there were selected 10 construction and real estate development companies, listed on the main market of the Warsaw Stock Exchange, which profit and loss account is made in the calculation model and for which in the years 2012-2014 there were initiated the bankruptcy proceedings.
4
Content available Wielowymiarowa analiza porównawcza jako narzędzie oceny spółek deweloperskich notowanych na GPW
63%
Chrzanowska M. , Zielińska-Sitkiewicz M.
Econometrics. Ekonometria. Advances in Applied Data Analytics
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2013
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nr 4(42)
60-71
EN
The diversity and multiplicity of information associated with investment in the stock market can cause problems with the proper understanding of the analyzed phenomena. In particular it refers to small investors who invest directly in stocks. Therefore, evaluating the financial condition of listed companies is very important, hence the need to use methods that will simplify and thus make stock market analysis easier. This paper presents an attempt to apply the selected financial ratios for the classification of 17 real estate companies listed on the Warsaw Stock Exchange into groups characterized by a similar economic condition. In the study multidimensional comparative analysis was used, i.e. Ward’s method and the method of k-means. The analysis was carried out in the period 2010-2012. In the experiment it was proved that using Ward’s method could identify companies with the weakest condition.
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