Research article

Option pricing: A K–theoretic perspective on diffusion models

  • Published: 14 July 2026
  • JEL Codes: G13, C02, C65

  • Background 

    Continuous–time option pricing under diffusion models leads, after the usual risk–neutral reduction and standard changes of variables, to parabolic partial differential equations generated by second–order elliptic operators with Gaussian heat kernels. This suggests a geometric reformulation of diffusion pricing in terms of Dirac–type operators and index theory. The purpose of this article was to develop such a structural viewpoint and to identify the invariant information it could reveal about payoff spaces.

    Methods 

    We studied stylised Bachelier and Black–Scholes–Merton diffusion generators on compactified state spaces and realised them as Laplace–type operators of the form $ -D^2 $ for suitable Dirac–type operators. On the two–torus equipped with a $ U(1) $ line bundle of degree $ k $, we analysed the associated twisted Dirac operator using heat–kernel methods, the Atiyah–Singer index theorem, and an explicit theta–function construction of zero modes. We then related the resulting invariant sector to a finite–market diagnostic based on payoff vectors and Gram matrices.

    Results 

    We obtained a Dirac realisation of stylised pricing generators on $ S^1 $ and $ T^2 $, proved that the twisted Dirac operator on $ T^2 $ has index $ k $, and gave an explicit Jacobi theta–function basis for its zero modes. These zero modes spanned a finite–dimensional diffusion–invariant subspace of payoff space in the compactified model. In addition, the finite–market example showed how the same viewpoint led to a rank/kernel diagnostic for payoff redundancy and constrained market dimension.

    Conclusions 

    Index–theoretic methods provide a coherent structural language for diffusion–based option pricing. Although the compactified constructions are stylised rather than literal market models, they isolate stable geometric features of pricing generators and motivate finite–dimensional diagnostics that can complement standard quantitative–finance workflows.

    Citation: Ioannis P. ZOIS. Option pricing: A K–theoretic perspective on diffusion models[J]. Quantitative Finance and Economics, 2026, 10(3): 405-437. doi: 10.3934/QFE.2026017

    Related Papers:

  • Background 

    Continuous–time option pricing under diffusion models leads, after the usual risk–neutral reduction and standard changes of variables, to parabolic partial differential equations generated by second–order elliptic operators with Gaussian heat kernels. This suggests a geometric reformulation of diffusion pricing in terms of Dirac–type operators and index theory. The purpose of this article was to develop such a structural viewpoint and to identify the invariant information it could reveal about payoff spaces.

    Methods 

    We studied stylised Bachelier and Black–Scholes–Merton diffusion generators on compactified state spaces and realised them as Laplace–type operators of the form $ -D^2 $ for suitable Dirac–type operators. On the two–torus equipped with a $ U(1) $ line bundle of degree $ k $, we analysed the associated twisted Dirac operator using heat–kernel methods, the Atiyah–Singer index theorem, and an explicit theta–function construction of zero modes. We then related the resulting invariant sector to a finite–market diagnostic based on payoff vectors and Gram matrices.

    Results 

    We obtained a Dirac realisation of stylised pricing generators on $ S^1 $ and $ T^2 $, proved that the twisted Dirac operator on $ T^2 $ has index $ k $, and gave an explicit Jacobi theta–function basis for its zero modes. These zero modes spanned a finite–dimensional diffusion–invariant subspace of payoff space in the compactified model. In addition, the finite–market example showed how the same viewpoint led to a rank/kernel diagnostic for payoff redundancy and constrained market dimension.

    Conclusions 

    Index–theoretic methods provide a coherent structural language for diffusion–based option pricing. Although the compactified constructions are stylised rather than literal market models, they isolate stable geometric features of pricing generators and motivate finite–dimensional diagnostics that can complement standard quantitative–finance workflows.



    加载中


    [1] Alòs E, García-Lorite D (2025) On the Curvature of the Bachelier Implied Volatility. Risks 13: 27. https://doi.org/10.3390/risks13020027 doi: 10.3390/risks13020027
    [2] Atiyah MF (1967) K-Theory. W. A. Benjamin, New York.
    [3] Atiyah MF, Singer IM (1963) The index of elliptic operators on compact manifolds. Bull Amer Math Soc 69: 422–433. https://doi.org/10.1090/S0002-9904-1963-10957-X doi: 10.1090/S0002-9904-1963-10957-X
    [4] Atiyah MF, Patodi VK, Singer IM (1975a) Spectral asymmetry and Riemannian geometry Ⅰ. Math Proc Cambridge Philos Soc 77: 43–69. https://doi.org/10.1017/S0305004100049410 doi: 10.1017/S0305004100049410
    [5] Atiyah MF, Patodi VK, Singer IM (1975b) Spectral asymmetry and Riemannian geometry Ⅱ. Math Proc Cambridge Philos Soc 78: 405–432. https://doi.org/10.1017/S0305004100051872 doi: 10.1017/S0305004100051872
    [6] Bachelier L (1900) Théorie de la spéculation. Ann Sci Ècole Norm Sup 17: 21–86. https://doi.org/10.24033/asens.476 doi: 10.24033/asens.476
    [7] Berline N, Getzler E, Vergne M (1992) Heat Kernels and Dirac Operators. Springer, Berlin. https://doi.org/10.1007/978-3-642-58088-8
    [8] Bismut JM (1986) Index theorem and the heat equation. In: Proceedings of the International Congress of Mathematicians (Berkeley, 1986), 43–61.
    [9] Björk T (2009) Arbitrage Theory in Continuous Time. 3rd edition. Oxford University Press, Oxford.
    [10] Black F, Scholes M (1973) The pricing of options and corporate liabilities. J Polit Econ 81: 637–654. https://doi.org/10.1086/260062 doi: 10.1086/260062
    [11] Blackadar B (1998) K-Theory for Operator Algebras. 2nd edition. Cambridge University Press, Cambridge. https://doi.org/10.1017/9781009701907
    [12] Choi J, Kwak M, Tee CW, et al. (2022) A Black–Scholes user's guide to the Bachelier model. J Futures Mark 42: 959–980. https://doi.org/10.1002/fut.22315 doi: 10.1002/fut.22315
    [13] Connes A (1994) Noncommutative Geometry. Academic Press, San Diego.
    [14] Einstein A (1905) On the movement of small particles suspended in a stationary liquid, as required by the molecular-kinetic theory of heat. Ann Phys 17: 549–560. https://doi.org/10.1002/andp.19053220806 doi: 10.1002/andp.19053220806
    [15] Farkas HM, Kra I (1992) Riemann Surfaces. 2nd edition. Springer, New York. https://doi.org/10.1007/978-1-4612-2034-3
    [16] Freed DS (2021) The Atiyah–Singer index theorem. Bull Amer Math Soc 58: 495–532. https://doi.org/10.1090/bull/1747 doi: 10.1090/bull/1747
    [17] Gatheral J (2006) The Volatility Surface: A Practitioner's Guide. Wiley, Hoboken. https://doi.org/10.1002/9781119202073
    [18] Gilkey PB (1984) Invariance Theory, the Heat Equation, and the Atiyah–Singer Index Theorem. Publish or Perish, Wilmington.
    [19] Griffiths P, Harris J (1978) Principles of Algebraic Geometry. Wiley, New York.
    [20] Halidias N (2025) An overview of financial mathematics with Python codes. Monte Carlo Methods Appl 31: 279–309. https://doi.org/10.1515/mcma-2025-2020 doi: 10.1515/mcma-2025-2020
    [21] Higson N, Roe J (2000) Analytic K-Homology. Oxford Mathematical Monographs. Oxford University Press, Oxford. https://doi.org/10.1093/oso/9780198511762.001.0001
    [22] Karoubi M (1978) K-Theory: An Introduction. Springer-Verlag, Berlin. https://doi.org/10.1007/978-3-540-79890-5
    [23] Lawson HB Jr, Michelsohn ML (1989) Spin Geometry. Princeton University Press, Princeton.
    [24] Lindquist WB, Rachev ST, Gnawali J, et al. (2024) Dynamic asset pricing in a unified Bachelier–Black–Scholes–Merton model. Risks 12: 136. https://doi.org/10.3390/risks12090136 doi: 10.3390/risks12090136
    [25] Merton RC (1973) Theory of rational option pricing. Bell J Econ Manag Sci 4: 141–183.
    [26] Reutter D (2015) The heat equation and the Atiyah–Singer index theorem. Essay, University of Oxford.
    [27] Roe J (1998) Elliptic Operators, Topology and Asymptotic Methods. 2nd edition. Longman, Harlow.
    [28] Schachermayer W, Teichmann J (2008) How Close Are the Option Pricing Formulas of Bachelier and Black–Merton–Scholes? Math Financ 18: 155–170. https://doi.org/10.1111/j.1467-9965.2007.00326.x doi: 10.1111/j.1467-9965.2007.00326.x
    [29] Shreve SE (2004) Stochastic Calculus for Finance II: Continuous-Time Models. Springer, New York.
    [30] Wegge-Olsen NE (1993) K-Theory and C$^*$-Algebras: A Friendly Approach. Oxford University Press, New York.
    [31] Zois IP (2000) A new invariant for $\sigma$ models. Commun Math Phys 209: 757–783. https://doi.org/10.1007/PL00020964 doi: 10.1007/PL00020964
    [32] Zois IP (2010) 18 Lectures on K-Theory. arXiv: 1008.1346 [math.KT].
  • Reader Comments
  • © 2026 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(702) PDF downloads(89) Cited by(0)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog