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February 23, 2026Finance Research Open0 citationsOpen Access

Inhomogeneous Heston PDE via geometric transformation

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CWCe Wang

Key Points

  • The central aim is to solve the inhomogeneous Heston PDE using a novel geometric transformation.
  • Utilized a geometric transformation method proposed by Dell’Era (2010).
  • Derived a closed-form solution for the Heston PDE with a constant inhomogeneous term.
  • Implemented numerical benchmarks through an ADI finite difference scheme for validation.
  • Successfully obtained a solution for the inhomogeneous Heston PDE.
  • Closed-form solution confirmed for scenarios where the inhomogeneous term is constant.
  • Numerical results aligned with theoretical predictions, validating the approach.

Abstract

We proposed a solution to the inhomogeneous Heston PDE via the geometric transformation proposed by Dell’Era (2010), and verify the solution by providing an analytical solution for the Heston PDE with a constant inhomogeneous term. Numerical benchmarks via ADI finite difference scheme are also provided. • Provide a solution of the Heston (stochastic volatility) PDE with an inhomogeneous term, via a sequence of transformations named ‘geometric transformation’ known in the literature. • Provide a closed-form solution of the case when the inhomogeneous term is a constant, as a proof of concept. • Provide numerical benchmark via ADI finite difference to verify the proposed solution.

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Cite This Study

Ce Wang (2026) studied this question.

synapsesocial.com/papers/699bee1c1c6c6bad5397fd77https://doi.org/10.1016/j.finr.2026.100106
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