IDEAS home Printed from https://ideas.repec.org/a/cbu/jrnlec/y2015v1iip140-146.html
   My bibliography  Save this article

Du Pont Analysis In The Production And Preservation Of Meat

Author

Listed:
  • ELEONORA IONELA FOCSAN

    (Universitatea „1 Decembrie 1918” Alba Iulia, Romania)

  • VASILE CRISTIAN IOACHIM MIRON

    (Universitatea „1 Decembrie 1918” Alba Iulia, Romania)

  • IOANA JELER (POPA)

    (Universitatea „1 Decembrie 1918” Alba Iulia, Romania)

Abstract

Du Pont analysis is a type of performance investigation of an entity, which identifies the strengths and weaknesses of performance and internal factors that influence its increase or decrease. In a Du Pont analysis the following rates are involved: economic rate of return, rate of return on equity and return on sales rate. This article attempts to correlate these rates with the profit, to identify risks that threaten the company. At the same time, it tries to develop a new method of correlation which involves all three rates. This method was applied to one of the largest companies in the meat industry in Romania, to see if this analysis is feasible. Analysis result does not fully meet expectations, leading to the proposal of another way to link all the variables. The proposal involves all three rates of the previous analysis, which were taken two by two. Another method of calculation is the determinant of the matrix which involves all the rates. In the end, the results of these new methods will be rigorously analyzed.

Suggested Citation

  • Eleonora Ionela Focsan & Vasile Cristian Ioachim Miron & Ioana Jeler (Popa), 2015. "Du Pont Analysis In The Production And Preservation Of Meat," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 140-146, February.
    • Handle: RePEc:cbu:jrnlec:y:2015:v:1ii:p:140-146
    as

    Download full text from publisher

    File URL: http://www.utgjiu.ro/revista/ec/pdf/2015-01.Volumul%202/22_Focsan,%20Miron,%20Jeler.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fred D. Arditti, 1967. "Risk And The Required Return On Equity," Journal of Finance, American Finance Association, vol. 22(1), pages 19-36, March.
    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. Michael J. Seiler & David M. Harrison & Pim Van Vliet & Kit Ching Yeung, 2005. "Return Characteristics of State‐Owned and Non‐State‐Owned Chinese A Shares," The Financial Review, Eastern Finance Association, vol. 40(4), pages 533-548, November.
    2. Luca Riccetti, 2013. "A copula–GARCH model for macro asset allocation of a portfolio with commodities," Empirical Economics, Springer, vol. 44(3), pages 1315-1336, June.
    3. Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2016. "Efficient skewness/semivariance portfolios," Journal of Asset Management, Palgrave Macmillan, vol. 17(5), pages 331-346, September.
    4. Elyasiani, Elyas & Gambarelli, Luca & Muzzioli, Silvia, 2020. "Moment risk premia and the cross-section of stock returns in the European stock market," Journal of Banking & Finance, Elsevier, vol. 111(C).
    5. Hautsch, Nikolaus & Scheuch, Christoph & Voigt, Stefan, 2018. "Limits to arbitrage in markets with stochastic settlement latency," CFS Working Paper Series 616, Center for Financial Studies (CFS).
    6. Colombelli, Alessandra, 2014. "The Impact of Top Management Team Characteristics on Firms Growth," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201412, University of Turin.
    7. Martin Kipp & Christian Koziol, 2022. "Tail risk management and the skewness premium," Journal of Asset Management, Palgrave Macmillan, vol. 23(6), pages 534-546, October.
    8. Annaert, Jan & De Ceuster, Marc & Van Cappellen, Jef, 2023. "Can average skewness really predict financial returns? The euro area case," Finance Research Letters, Elsevier, vol. 52(C).
    9. Emmanuel Jurczenko & Bertrand Maillet & Paul Merlin, 2008. "Efficient Frontier for Robust Higher-order Moment Portfolio Selection," Post-Print halshs-00336475, HAL.
    10. B. Matemilola & A. Bany-Ariffin & W. Azman-Saini, 2012. "Financial Leverage and Shareholder’s Required Returns: Evidence from South Africa Corporate Sector," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(3), pages 601-612, March.
    11. John Lintner, 1976. "Interest Rate Expectations and Optimal Forward Commitments for Institutional Investors," NBER Chapters, in: Explorations in Economic Research, Volume 3, number 4, pages 445-520, National Bureau of Economic Research, Inc.
    12. Mateane, Lebogang, 2023. "Risk preferences, global market conditions and foreign debt: Is there any role for the currency composition of FX reserves?," Research in Economics, Elsevier, vol. 77(3), pages 402-418.
    13. Sheng-Ping Yang & Thanh Nguyen, 2019. "Skewness Preference and Asset Pricing: Evidence from the Japanese Stock Market," JRFM, MDPI, vol. 12(3), pages 1-10, September.
    14. Paul Karehnke & Frans de Roon, 2020. "Spanning Tests for Assets with Option-Like Payoffs: The Case of Hedge Funds," Management Science, INFORMS, vol. 66(12), pages 5969-5989, December.
    15. Don U.A. Galagedera & Elizabeth A. Maharaj, 2004. "Wavelet timescales and conditional relationship between higher- order systematic co-moments and portfolio returns: evidence in Australian data," Finance 0409056, University Library of Munich, Germany.
    16. Back, Kerry, 2014. "A characterization of the coskewness–cokurtosis pricing model," Economics Letters, Elsevier, vol. 125(2), pages 219-222.
    17. Musser, Wesley N. & Tew, Bernard V. & Epperson, James E., 1981. "An Economic Examination Of An Integrated Pest Management Production System With A Contrast Between E-V And Stochastic Dominance Analysis," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 13(01), pages 1-6, July.
    18. Cui, Xiangyu & Guan, Zheng, 2022. "On the pricing of expected idiosyncratic skewness," Economics Letters, Elsevier, vol. 216(C).
    19. Wang, Chou-Wen & Liu, Kai & Li, Bin & Tan, Ken Seng, 2022. "Portfolio optimization under multivariate affine generalized hyperbolic distributions," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 49-66.
    20. Matteo Benuzzi & Matteo Ploner, 2024. "Skewness-seeking behavior and financial investments," Annals of Finance, Springer, vol. 20(1), pages 129-165, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:cbu:jrnlec:y:2015:v:1ii:p:140-146. 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: Ecobici Nicolae The email address of this maintainer does not seem to be valid anymore. Please ask Ecobici Nicolae to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/fetgjro.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.