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https://doi.org/10.2...arrow_drop_down
https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Mathematics of Stock Valuation: How the Potential Payback Period (PPP) Subsumes the P/E and PEG Ratios

Authors: Sam, Rainsy;

Mathematics of Stock Valuation: How the Potential Payback Period (PPP) Subsumes the P/E and PEG Ratios

Abstract

This article introduces the Potential Payback Period (PPP) — a valuation model initiated by the author — as a mathematically rigorous and conceptually richer alternative to traditional ratios. While the Price-to-Earnings (P/E) and PEG ratios have long been used to assess stock value, they suffer from critical limitations: the P/E ignores growth and discounting, while the PEG applies a simplistic linear adjustment and neglects risk. The PPP corrects these shortcomings by incorporating earnings growth, interest rates, and risk (via CAPM-based discounting) into a unified logarithmic structure. Using tools such as the Gordon Growth Model, Taylor expansion, and L’Hospital’s Rule, the paper shows that the P/E and PEG ratios are special cases of the PPP. As a result, the PPP offers a more consistent, interpretable, and forward-looking metric that aligns with modern financial theory and investor needs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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