IDEAS home Printed from https://ideas.repec.org/a/pts/journl/y2020i3p3-12.html
   My bibliography  Save this article

Performance Analysis Through Financial Rates In The Case Of Nuclearelectrica, Societatea Energetica Electrica And S.N.G.N. Romgaz

Author

Listed:
  • Luiza Mãdãlina APOSTOL

    (Faculty of Economics and Law, University of Pitesti, Romania)

Abstract

This paper presents an analysis of the financial performance for the period 2013-2019 based on the financial statements of three companies in the energy field (Nuclearelectrica and Societatea Energetica Electrica in the field of electricity and SNGN Romgaz in the field of oil and gas), listed at Bucharest Stock Exchange, in order to select shares for the investment decision. The analysis from the perspective of third parties, especially creditors (solvency, liquidity) was combined with the analysis from the perspective of investors through profitability, in order to have a detailed picture of the profitability perceived by potential investors. In the last part of the paper, we centralized the results of the analysis in the form of a score function whose result would reflect the total performance of the three companies.

Suggested Citation

  • Luiza Mãdãlina APOSTOL, 2020. "Performance Analysis Through Financial Rates In The Case Of Nuclearelectrica, Societatea Energetica Electrica And S.N.G.N. Romgaz," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 19(3), pages 3-12.
    • Handle: RePEc:pts:journl:y:2020:i:3:p:3-12
    as

    Download full text from publisher

    File URL: http://economic.upit.ro/RePEc/pdf/2020_3_1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Holthausen, Robert W. & Larcker, David F., 1992. "The prediction of stock returns using financial statement information," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 373-411, August.
    2. Consuela DICU & Maria Daniela BONDOC & Mihaela Bianca POPESCU, 2019. "A Quantitative Approach To Profitability Ratios," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 18(1), pages 57-65.
    3. Ou, Jane A. & Penman, Stephen H., 1989. "Financial statement analysis and the prediction of stock returns," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 295-329, November.
    4. Abarbanell, JS & Bushee, BJ, 1997. "Fundamental analysis, future earnings, and stock prices," Journal of Accounting Research, Wiley Blackwell, vol. 35(1), pages 1-24.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hirshleifer, David & Kewei Hou & Teoh, Siew Hong & Yinglei Zhang, 2004. "Do investors overvalue firms with bloated balance sheets?," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 297-331, December.
    2. Bartram, Söhnke M. & Grinblatt, Mark, 2018. "Agnostic fundamental analysis works," Journal of Financial Economics, Elsevier, vol. 128(1), pages 125-147.
    3. Photis Panayides & Neophytos Lambertides, 2011. "Fundamental Analysis and Relative Efficiency of Maritime Firms: Dry Bulk vs Tanker Firms," Chapters, in: Kevin Cullinane (ed.), International Handbook of Maritime Economics, chapter 5, Edward Elgar Publishing.
    4. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    5. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    6. Gregory D. Kane & Ryan D. Leece & Frederick M. Richardson & Uma Velury, 2015. "The Impact of Recession on the Value-relevance of Accounting Information," Australian Accounting Review, CPA Australia, vol. 25(2), pages 185-191, June.
    7. Jun, So Young & Kim, Dong Sung & Jung, Suk Yoon & Jun, Sang Gyung & Kim, Jong Woo, 2022. "Stock investment strategy combining earnings power index and machine learning," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
    8. Papanastasopoulos, Georgios & Thomakos, Dimitrios & Wang, Tao, 2011. "Information in balance sheets for future stock returns: Evidence from net operating assets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 269-282.
    9. Andreas Charitou & George Panagiotides, 1999. "Financial analysis, future earnings and cash flows, and the prediction of stock returns: evidence for the UK," Accounting and Business Research, Taylor & Francis Journals, vol. 29(4), pages 281-298.
    10. Krauss, Christopher & Krüger, Tom & Beerstecher, Daniel, 2015. "The Piotroski F-Score: A fundamental value strategy revisited from an investor's perspective," FAU Discussion Papers in Economics 13/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    11. Birol Yildiz & Ari Yezegel, 2010. "Fundamental Analysis With Artificial Neural Network," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(1), pages 149-158.
    12. Avkiran, Necmi K. & Morita, Hiroshi, 2010. "Predicting Japanese bank stock performance with a composite relative efficiency metric: A new investment tool," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 254-271, June.
    13. Meena Sharma & Preeti Sharma, 2009. "Prediction of Stock Returns for Growth Firms—A Fundamental Analysis," Vision, , vol. 13(3), pages 31-40, July.
    14. Xinyue Cui & Zhaoyu Xu & Yue Zhou, 2020. "Using Machine Learning to Forecast Future Earnings," Papers 2005.13995, arXiv.org.
    15. Florian Huber & Tamás Krisztin & Philipp Piribauer, 2017. "Forecasting Global Equity Indices Using Large Bayesian Vars," Bulletin of Economic Research, Wiley Blackwell, vol. 69(3), pages 288-308, July.
    16. Olson, Dennis & Mossman, Charles, 2003. "Neural network forecasts of Canadian stock returns using accounting ratios," International Journal of Forecasting, Elsevier, vol. 19(3), pages 453-465.
    17. Gikas Hardouvelis & George Papanastasopoulos & Dimitrios D. Thomakos & Tao Wang, 2007. "Accruals, Net Stock Issues and Value-Glamour Anomalies: New Evidence on their Relation," Working Paper series 47_07, Rimini Centre for Economic Analysis.
    18. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
    19. Dafydd Mali & Hyoung‐joo Lim, 2021. "Do Relatively More Efficient Firms Demand Additional Audit Effort (Hours)?," Australian Accounting Review, CPA Australia, vol. 31(2), pages 108-127, June.
    20. Yensen Ni & Yirung Cheng & Yulu Liao & Paoyu Huang, 2022. "Does board structure affect stock price overshooting informativeness measured by stochastic oscillator indicators?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2290-2302, April.

    More about this item

    Keywords

    Financial performance; Profitability indicators; Return of shares.;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pts:journl:y:2020:i:3:p:3-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alina Hagiu (email available below). General contact details of provider: https://edirc.repec.org/data/fepitro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.