IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1003.4881.html
   My bibliography  Save this paper

The Validity of Company Valuation Using Discounted Cash Flow Methods

Author

Listed:
  • Florian Steiger

Abstract

This paper closely examines theoretical and practical aspects of the widely used discounted cash flows (DCF) valuation method. It assesses its potentials as well as several weaknesses. A special emphasize is being put on the valuation of companies using the DCF method. The paper finds that the discounted cash flow method is a powerful tool to analyze even complex situations. However, the DCF method is subject to massive assumption bias and even slight changes in the underlying assumptions of an analysis can drastically alter the valuation results. A practical example of these implications is given using a scenario analysis.

Suggested Citation

  • Florian Steiger, 2010. "The Validity of Company Valuation Using Discounted Cash Flow Methods," Papers 1003.4881, arXiv.org, revised Apr 2010.
  • Handle: RePEc:arx:papers:1003.4881
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1003.4881
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beranek, William & Howe, Keith M, 1990. "The Regulated Firm and the DCF Model: Some Lessons from Financial Theory," Journal of Regulatory Economics, Springer, vol. 2(2), pages 191-200, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Teng Andrea Xu & Jiahua Xu & Kristof Lommers, 2022. "DeFi vs TradFi: Valuation Using Multiples and Discounted Cash Flow," Papers 2210.16846, arXiv.org.
    2. Sujata Behera, 2020. "Does the EVA valuation model explain the market value of equity better under changing required return than constant required return?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-23, December.
    3. Frederick DUBE & Brian BARNARD, 2019. "Equity Valuation based on a Random Process Modelling of Earnings and Equity Growth," Expert Journal of Economics, Sprint Investify, vol. 7(1), pages 1-31.
    4. Yesim Tokat-Acikel & Marco Aiolfi & Yiwen Jin, 2021. "Multi-Asset Value Payoff: Is Recent Underperformance Cyclical?," JRFM, MDPI, vol. 14(10), pages 1-17, October.

    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.

      More about this item

      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:arx:papers:1003.4881. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

      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.