IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/128772.html

The Mathematical Foundations of the Potential Payback Period (PPP)

Author

Listed:
  • Sam, Rainsy

Abstract

This paper presents the mathematical foundations of the Potential Payback Period (PPP) as a unified framework for asset valuation and return determination. The PPP integrates earnings growth, discounting, and risk into a single dynamic metric derived from exponential growth and present value theory. Using limit analysis (L’Hôpital’s rule and Taylor expansions), we show that the Price-to-Earnings (P/E) ratio emerges as a limiting case of the PPP. The framework further defines a closed-loop system in which terminal valuation and return are endogenously determined, enabling the construction of return measures comparable to bond yields.

Suggested Citation

  • Sam, Rainsy, 2026. "The Mathematical Foundations of the Potential Payback Period (PPP)," MPRA Paper 128772, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:128772
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/128772/1/MPRA_paper_128772.docx
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    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. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    2. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    3. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.
    4. David J. Moore & David McMillan, 2016. "A look at the actual cost of capital of US firms," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1233628-123, December.
    5. Radosław Kurach, 2013. "Does Beta Explain Global Equity Market Volatility – Some Empirical Evidence," Contemporary Economics, Vizja University, vol. 7(2), June.
    6. Scholtens, Bert, 2008. "A note on the interaction between corporate social responsibility and financial performance," Ecological Economics, Elsevier, vol. 68(1-2), pages 46-55, December.
    7. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.
    8. Jeremy Leake, 2003. "Credit spreads on sterling corporate bonds and the term structure of UK interest rates," Bank of England working papers 202, Bank of England.
    9. Abugri, Benjamin A. & Dutta, Sandip, 2014. "Are we overestimating REIT idiosyncratic risk? Analysis of pricing effects and persistence," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 249-259.
    10. Onishchenko, Olena & Zhao, Jing & Kongahawatte, Sampath & Kuruppuarachchi, Duminda, 2024. "Investor heterogeneity and anchoring-induced momentum," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    11. Linsley, Philip M. & Shrives, Philip J., 2006. "Risk reporting: A study of risk disclosures in the annual reports of UK companies," The British Accounting Review, Elsevier, vol. 38(4), pages 387-404.
    12. Spira, Robin, 2024. "How does ESG rating disagreement influence analyst forecast dispersion?," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(3), pages 1769-1804.
    13. Li, Xiao-Ming, 2017. "New evidence on economic policy uncertainty and equity premium," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 41-56.
    14. Borovička, Jaroslav & Hansen, Lars Peter, 2014. "Examining macroeconomic models through the lens of asset pricing," Journal of Econometrics, Elsevier, vol. 183(1), pages 67-90.
    15. Astudillo, Alfonso & Braun, Matías & Castañeda, Pablo, 2011. "The going public decision and the structure of equity markets," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1451-1470.
    16. Shaikh, Salman, 2013. "Investment Decisions by Analysts: A Case Study of KSE," MPRA Paper 53802, University Library of Munich, Germany.
    17. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    18. David Peón & Anxo Calvo, 2012. "Using Behavioral Economics to Analyze Credit Policies in the Banking Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 145-160.
    19. Luis A. Gil-Alana & OlaOluwa S. Yaya & Oluwaseun A. Adesina & Xuan Vinh Vo, 2025. "Model-free and model-based connectedness in highly, medium and lowly correlated financial returns: analyses of OECD inflations," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 1807-1832, April.
    20. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:pra:mprapa:128772. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.