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Wykorzystanie informacji księgowych w analizie ryzyka

Author

Listed:
  • Anna Rutkowska-Ziarko

    (University of Warmia and Mazury in Olsztyn, The Faculty of Economics, Department of Quantitative Methods)

  • Christopher Pyke

    (Lancashire School of Business and Enterprise, Greenbank Building, University of Central Lancashire)

Abstract

W niniejszym artykule oceniamy, czy w analizie ryzyka można wykorzystać informacje z zakresu rachunkowości finansowej. Naszym celem jest udzielenie odpowiedzi na dwa pytania: (i) Czy rentowność firmy, jak wskazują różne wskaźniki rentowności księgowej, przekłada się na wyższe zwroty dla inwestorów na rynku kapitałowym? (ii) Czy poziom ryzyka na rynku kapitałowym jest związany ze zmiennością wskaźników rentowności przedsiębiorstw? Kwartalne sprawozdania finansowe 24 spółek budowlanych notowanych na Giełdzie Papierów Wartościowych w Warszawie zostały zebrane i przeanalizowane pod kątem wyników na rynku kapitałowym. W analizie wykorzystywane są trzy kluczowe wskaźniki rentowności: zwrot z aktywów (ROA), zwrot z kapitału (ROE) i zwrot ze sprzedaży (ROS). Stwierdziliśmy, że zyskowność przedsiębiorstwa przekłada się bezpośrednio na wyższe zyski inwestorów na rynkach kapitałowych. Weryfikujemy również, czy ryzyko na rynku kapitałowym jest związane ze zmiennością wskaźników rentowności dla firmy.

Suggested Citation

  • Anna Rutkowska-Ziarko & Christopher Pyke, 2018. "Wykorzystanie informacji księgowych w analizie ryzyka," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 49, pages 547-554.
    • Handle: RePEc:sgh:annals:i:49:y:2018:p:547-554
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    References listed on IDEAS

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    1. Estrada, Javier, 2002. "Systematic risk in emerging markets: the," Emerging Markets Review, Elsevier, vol. 3(4), pages 365-379, December.
    2. Fima Klebaner & Zinoviy Landsman & Udi Makov & Jing Yao, 2017. "Optimal portfolios with downside risk," Quantitative Finance, Taylor & Francis Journals, vol. 17(3), pages 315-325, March.
    3. Lesław Markowski, 2015. "Conditional Volatility Exposures in Asset Pricing in the Downside and Classical Framework," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 7(1).
    4. Post, Thierry & van Vliet, Pim, 2006. "Downside risk and asset pricing," Journal of Banking & Finance, Elsevier, vol. 30(3), pages 823-849, March.
    5. D. Pla-Santamaria & M. Bravo, 2013. "Portfolio optimization based on downside risk: a mean-semivariance efficient frontier from Dow Jones blue chips," Annals of Operations Research, Springer, vol. 205(1), pages 189-201, May.
    6. Galagedera, Don U.A. & Brooks, Robert D., 2007. "Is co-skewness a better measure of risk in the downside than downside beta?: Evidence in emerging market data," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 214-230, July.
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