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    Stochastic Discounted Cash Flow

    A Theory of the Valuation of Firms

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    Author(s)
    Kruschwitz, Lutz
    Löffler, Andreas
    Language
    English
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    Abstract
    This open access book discusses firm valuation, which is of interest to economists, particularly those working in finance. Firm valuation comes down to the calculation of the discounted cash flow, often only referred to by its abbreviation, DCF. There are, however, different coexistent versions, which seem to compete against each other, such as entity approaches and equity approaches. Acronyms are often used, such as APV (adjusted present value) or WACC (weighted average cost of capital), two concepts classified as entity approaches. This book explains why there are several procedures and whether they lead to the same result. It also examines the economic differences between the methods and indicates the various purposes they serve. Further it describes the limits of the procedures and the situations they are best applied to. The problems this book addresses are relevant to theoreticians and practitioners alike.
    URI
    https://library.oapen.org/handle/20.500.12657/57318
    Keywords
    Firm valuation; Cost of capital; Weighted average cost of capital; Insolvency and valuation; Adjusted present value; Accounting; Taxation; Finance; Audit; Discounted cash flow; Cash flows; Asset pricing; Equity and debt; Flow to equity; Total cash flow; Financing; Investment; Leverage; investments and securities
    DOI
    10.1007/978-3-030-37081-7
    ISBN
    9783030370817, 9783030370817
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2020
    Grantor
    • Freie Universität Berlin - [...]
    Imprint
    Springer International Publishing
    Series
    Springer Texts in Business and Economics,
    Pages
    241
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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