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Financial Ratio Analysis Of The Electric Power Industry

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  • TOSHIYUKI SUEYOSHI

    (New Mexico Institute of Mining and Technology, Department of Management 801 Leroy Place, Socorro, NM, 87801-4796, USA)

Abstract

Financial Ratio Analysis is newly proposed to examine the financial performance of the American power/energy industry. The new approach compares the financial performances of 147 non-default firms with those of 24 default firms in the US power/energy market. The proposed approach is a new type of nonparametric discriminant analysis that provides a set of weights of a linear discriminant function, consequently yielding an evaluation score for group membership. Such weight estimates, along with an evaluation score, of the discriminant function provide a total financial evaluation measure, based upon which we can determine the financial performance of the power/energy firms. This empirical study informs that both leverage (debt) and profitability (returns on equity) are important financial factors in terms of avoiding corporate distress or bankruptcy. The empirical results obtained from the American power/energy industry are further extended to the international comparison of other major industrial nations including Japan and the European nations. The international comparison concludes that Japanese electric power firms have enough managerial and financial capabilities even if the American financial standard is hypothetically introduced into the evaluation of their financial performances. However, the empirical results also indicate that the Japanese power industry performs barely above the American standard. Thus, corporate leaders in the Japanese power industry need to pay more serious attention to their corporate finances and financial strategies. Such financial perspective will be increasingly important along with the current deregulation policy of the Japanese government.

Suggested Citation

  • Toshiyuki Sueyoshi, 2005. "Financial Ratio Analysis Of The Electric Power Industry," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 22(03), pages 349-376.
  • Handle: RePEc:wsi:apjorx:v:22:y:2005:i:03:n:s0217595905000509
    DOI: 10.1142/S0217595905000509
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    Citations

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    Cited by:

    1. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "DEA environmental assessment in time horizon: Radial approach for Malmquist index measurement on petroleum companies," Energy Economics, Elsevier, vol. 51(C), pages 329-345.
    2. Daniel Plumley & Rob Wilson & Robbie Millar & Simon Shibli, 2019. "Howzat? The Financial Health of English Cricket: Not Out, Yet," IJFS, MDPI, vol. 7(1), pages 1-17, February.
    3. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "Methodological comparison between DEA (data envelopment analysis) and DEA-DA (discriminant analysis) from the perspective of bankruptcy assessment," European Journal of Operational Research, Elsevier, vol. 199(2), pages 561-575, December.
    4. Moawia Alghalith & Xu Guo & Cuizhen Niu & Wing-Keung Wong, 2017. "Input Demand Under Joint Energy and Output Prices Uncertainties," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-12, August.
    5. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "Environmental assessment on coal-fired power plants in U.S. north-east region by DEA non-radial measurement," Energy Economics, Elsevier, vol. 50(C), pages 125-139.
    6. Mustafa OZYESIL, 2020. "An Application of Financial Ratio Analysis on Concordat Firms: A Model Suggestion on Construction Firms Listed in Borsa Istanbul," Journal of Economics and Behavioral Studies, AMH International, vol. 11(6), pages 10-22.
    7. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "DEA-DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry," European Journal of Operational Research, Elsevier, vol. 199(2), pages 576-594, December.
    8. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "Can R&D expenditure avoid corporate bankruptcy? Comparison between Japanese machinery and electric equipment industries using DEA-discriminant analysis," European Journal of Operational Research, Elsevier, vol. 196(1), pages 289-311, July.
    9. Salas-Fumás, Vicente & Rosell-Martínez, Jorge & Delgado-Gómez, José Manuel, 2016. "Capacity, investment and market power in the economic value of energy firms," Energy Economics, Elsevier, vol. 53(C), pages 28-39.
    10. Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2009. "An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties," European Journal of Operational Research, Elsevier, vol. 196(2), pages 764-794, July.

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