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Pricing European Options under Logistic Stock-Price Dynamics with a Continuous Dividend Yield

Applied Mathematics

Subject area: Science,Engineering and Technology  ·  Area of research: Applied Mathematics

DOI: https://doi.org/10.64388/IREV10I3-1723108

Abstract

Logistic stock-price dynamics have been proposed as a way of representing assets whose growth is bounded by competition, saturation or finite market capacity, but the derivations available in the literature retain a logistic drift while invoking a delta-hedging argument that removes it. This paper resolves that inconsistency and extends the framework to dividend-paying assets. It is first shown that, for a traded asset, no-arbitrage forces the logistic term out of the pricing equation; the logistic model is therefore developed as an incomplete-market model in which a state-dependent market price of risk fixes the pricing measure, and the pricing partial differential equation is obtained from the Feynman-Kac representation rather than from hedging. The resulting equation carries a continuous dividend yield and reduces to the Black-Scholes-Merton equation as the carrying capacity grows without bound. A closed-form solution of the price process is derived through the reciprocal transformation, which linearises the stochastic logistic equation and expresses the price as a geometric Brownian motion divided by an exponential functional. Prices are computed by a Crank-Nicolson scheme with Rannacher start-up; second-order convergence is demonstrated and the scheme is cross-validated against Monte Carlo simulation of the closed-form representation. Sensitivity analyses quantify the effect of carrying capacity, dividend yield and volatility, and a forward-price diagnostic measures the departure from put-call parity, for which a first-order analytic expression is derived and verified numerically.

Keywords

Carrying capacity, Crank-Nicolson scheme, Dividend yield, European options, Feynman-Kac representation, Incomplete markets, Logistic diffusion.

References

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[2] R. C. Merton, “Theory of rational option pricing,” Bell Journal of Economics and Management Science, vol. 4, no. 1, pp. 141– 183, 1973. Crossref

[3] J. C. Cox and S. A. Ross, “The valuation of options for alternative stochastic processes,” Journal of Financial Economics, vol. 3, no. 1–2, pp. 145–166, 1976. ScienceDirect

[4] E. Derman and I. Kani, “Riding on a smile,” Risk, vol. 7, no. 2, pp. 32–39, 1994.

[5] B. Dupire, “Pricing with a smile,” Risk, vol. 7, no. 1, pp. 18–20, 1994.

[6] S. G. Kou, “A jump-diffusion model for option pricing,” Management Science, vol. 48, no. 8, pp. 1086–1101, 2002. Crossref

[7] R. C. Merton, “Option pricing when underlying stock returns are discontinuous,” Journal of Financial Economics, vol. 3, no. 1–2, pp. 125– 144, 1976. ScienceDirect

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[9] J. O. Nyakinda, Derivation of a non-linear logistic Black-Scholes-Merton partial differential equation, PhD thesis, Jaramogi Oginga Odinga University of Science and Technology, 2011.

[10] D. B. Oduor, O. N. Omolo, N. B. Okelo and S. N. Onyango, “Estimation of market volatility: a case of logistic Brownian motion,” International Journal of Marketing and Technology, vol. 2, no. 1, pp. 32–48, 2012.

[11] S. N. Onyango, Extracting stochastic processes from market price data: a pattern recognition approach, PhD thesis, University of Huddersfield, UK, 2003.

[12] S. L. Heston, “A closed-form solution for options with stochastic volatility with applications to bond and currency options,” Review of Financial Studies, vol. 6, no. 2, pp. 327–343, 1993. Oxford Academic

[13] P. F. Verhulst, “Notice sur la loi que la population suit dans son accroissement,” Correspondance Mathématique et Physique, vol. 10, pp. 113–121, 1838.

[14] I. Karatzas and S. E. Shreve, Methods of Mathematical Finance. New York: Springer, 1998. Springer

[15] D. Duffie, Dynamic Asset Pricing Theory, 3rd ed. Princeton, NJ: Princeton University Press, 2001.

[16] T. Björk, Arbitrage Theory in Continuous Time, 3rd ed. Oxford: Oxford University Press, 2009.

[17] D. Dufresne, “The distribution of a perpetuity, with applications to risk theory and pension funding,” Scandinavian Actuarial Journal, vol. 1990, no. 1–2, pp. 39–79, 1990. Taylor & Francis

[18] M. Yor, “On some exponential functionals of Brownian motion,” Advances in Applied Probability, vol. 24, no. 3, pp. 509–531, 1992. Cambridge

[19] J. Crank and P. Nicolson, “A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type,” Proceedings of the Cambridge Philosophical Society, vol. 43, no. 1, pp. 50–67, 1947. Cambridge

[20] R. Rannacher, “Finite element solution of diffusion problems with irregular data,” Numerische Mathematik, vol. 43, no. 2, pp. 309–327, 1984. EuDML

[21] M. B. Giles and R. Carter, “Convergence analysis of Crank-Nicolson and Rannacher time-marching,” Journal of Computational Finance, vol. 9, no. 4, pp. 89–112, 2006. Crossref

How to cite this paper

Applied Mathematics "Pricing European Options under Logistic Stock-Price Dynamics with a Continuous Dividend Yield" Iconic Research And Engineering Journals Volume 10 Issue 3 2026 Page 1868-1878 https://doi.org/10.64388/IREV10I3-1723108
Applied Mathematics "Pricing European Options under Logistic Stock-Price Dynamics with a Continuous Dividend Yield" Iconic Research And Engineering Journals, vol. 10, no. 3, Sep. 2026, doi: https://doi.org/10.64388/IREV10I3-1723108
Applied Mathematics (2026). Pricing European Options under Logistic Stock-Price Dynamics with a Continuous Dividend Yield. Iconic Research And Engineering Journals, 10(3). doi: https://doi.org/10.64388/IREV10I3-1723108
Applied Mathematics "Pricing European Options under Logistic Stock-Price Dynamics with a Continuous Dividend Yield" Iconic Research And Engineering Journals, vol. 10, no. 3, Sep. 2026. Crossref, https://doi.org/10.64388/IREV10I3-1723108
@article{1723108,
      author = {Applied Mathematics},
      title = {Pricing European Options under Logistic Stock-Price Dynamics with a Continuous Dividend Yield},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {3},
      pages = {1868-1878},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1723108.pdf},
      abstract = {Logistic stock-price dynamics have been proposed as a way of representing assets whose growth is bounded by competition, saturation or finite market capacity, but the derivations available in the literature retain a logistic drift while invoking a delta-hedging argument that removes it. This paper resolves that inconsistency and extends the framework to dividend-paying assets. It is first shown that, for a traded asset, no-arbitrage forces the logistic term out of the pricing equation; the logistic model is therefore developed as an incomplete-market model in which a state-dependent market price of risk fixes the pricing measure, and the pricing partial differential equation is obtained from the Feynman-Kac representation rather than from hedging. The resulting equation carries a continuous dividend yield and reduces to the Black-Scholes-Merton equation as the carrying capacity grows without bound. A closed-form solution of the price process is derived through the reciprocal transformation, which linearises the stochastic logistic equation and expresses the price as a geometric Brownian motion divided by an exponential functional. Prices are computed by a Crank-Nicolson scheme with Rannacher start-up; second-order convergence is demonstrated and the scheme is cross-validated against Monte Carlo simulation of the closed-form representation. Sensitivity analyses quantify the effect of carrying capacity, dividend yield and volatility, and a forward-price diagnostic measures the departure from put-call parity, for which a first-order analytic expression is derived and verified numerically.},
      keywords = {Carrying capacity, Crank-Nicolson scheme, Dividend yield, European options, Feynman-Kac representation, Incomplete markets, Logistic diffusion.},
      month = {September},
      doi = {https://doi.org/10.64388/IREV10I3-1723108}
  }