IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2609.07351.html

Fixed Points for the $q$-Bass Martingale: Existence, Stability, and Convergence

Author

Listed:
  • Beatrice Acciaio
  • Antonio Marini

Abstract

We establish existence, uniqueness, stability, and convergence results for one-dimensional $q$-Bass martingales, characterized as the martingales with prescribed initial and terminal marginals whose transition kernels are closest to a reference measure $q$. Their existence is equivalent to the solvability of a fixed-point problem for probability distributions. Building on Acciaio and Marini (2026), that requires the first marginal to be supported on finitely many points, we study the case of general marginals in convex order. Under the assumption that $q\ll\lambda$, we prove existence, uniqueness and stability of fixed-point distributions, $\mathcal{W}_\infty$-convergence of the fixed-point iteration, and support-diameter estimates. We also extend the martingale Benamou-Brenier formula from Brownian motion to any additive reference process $X$ and show that the corresponding $X$-Bass martingale is optimal whenever it exists, with an interpretation as an adapted Wasserstein projection of $X$.

Suggested Citation

  • Beatrice Acciaio & Antonio Marini, 2026. "Fixed Points for the $q$-Bass Martingale: Existence, Stability, and Convergence," Papers 2609.07351, arXiv.org.
  • Handle: RePEc:arx:papers:2609.07351
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/2609.07351
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Julio Backhoff & Gregoire Loeper & Jan Obloj, 2024. "Geometric Martingale Benamou-Brenier transport and geometric Bass martingales," Papers 2406.04016, arXiv.org, revised Feb 2025.
    2. Julio Backhoff-Veraguas & Daniel Bartl & Mathias Beiglbock & Manu Eder, 2019. "Adapted Wasserstein Distances and Stability in Mathematical Finance," Papers 1901.07450, arXiv.org, revised May 2020.
    3. Acciaio, B. & Backhoff-Veraguas, J. & Zalashko, A., 2020. "Causal optimal transport and its links to enlargement of filtrations and continuous-time stochastic optimization," LSE Research Online Documents on Economics 101864, London School of Economics and Political Science, LSE Library.
    4. Julio Backhoff-Veraguas & Daniel Bartl & Mathias Beiglböck & Manu Eder, 2020. "Adapted Wasserstein distances and stability in mathematical finance," Finance and Stochastics, Springer, vol. 24(3), pages 601-632, July.
    5. Acciaio, B. & Backhoff-Veraguas, J. & Zalashko, A., 2020. "Causal optimal transport and its links to enlargement of filtrations and continuous-time stochastic optimization," Stochastic Processes and their Applications, Elsevier, vol. 130(5), pages 2918-2953.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mathias Beiglbock & Manuel Hasenbichler & Gudmund Pammer, 2026. "Stochastic Knothe-Rosenblatt: Light-speed Calibration of Stochastic Local Volatility Models," Papers 2609.39256, arXiv.org, revised Oct 2026.

    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. Beatrice Acciaio & Berenice Anne Neumann, 2025. "Characterization of transport optimizers via graphs and applications to Stackelberg–Cournot–Nash equilibria," Mathematics and Financial Economics, Springer, volume 19, number 3, June.
    2. Julio Backhoff-Veraguas & Xin Zhang, 2023. "Dynamic Cournot-Nash equilibrium: the non-potential case," Mathematics and Financial Economics, Springer, volume 17, number 1, June.
    3. Bingyan Han, 2022. "Distributionally robust risk evaluation with a causality constraint and structural information," Papers 2203.10571, arXiv.org, revised Jun 2025.
    4. Beiglböck, Mathias & Pammer, Gudmund & Riess, Lorenz, 2026. "Change of numeraire for weak martingale transport," Stochastic Processes and their Applications, Elsevier, vol. 192(C).
    5. Mathias Beiglbock & Gudmund Pammer & Lorenz Riess, 2024. "Change of numeraire for weak martingale transport," Papers 2406.07523, arXiv.org.
    6. Hou, Songyan, 2026. "Convergence of adapted smoothed empirical measures," Stochastic Processes and their Applications, Elsevier, vol. 191(C).
    7. Backhoff-Veraguas, Julio & Källblad, Sigrid & Robinson, Benjamin A., 2025. "Adapted Wasserstein distance between the laws of SDEs," Stochastic Processes and their Applications, Elsevier, vol. 189(C).
    8. Ruben Bontorno & Songyan Hou, 2025. "Nested Optimal Transport Distances," Papers 2509.06702, arXiv.org.
    9. Daniel Krv{s}ek & Gudmund Pammer, 2024. "General duality and dual attainment for adapted transport," Papers 2401.11958, arXiv.org, revised Nov 2024.
    10. Marlon R. Moresco & Mélina Mailhot & Silvana M. Pesenti, 2025. "Uncertainty Propagation and Dynamic Robust Risk Measures," Mathematics of Operations Research, INFORMS, vol. 50(3), pages 1939-1964, August.
    11. Park, Kyunghyun & Wong, Hoi Ying & Yan, Tingjin, 2023. "Robust retirement and life insurance with inflation risk and model ambiguity," Insurance: Mathematics and Economics, Elsevier, vol. 110(C), pages 1-30.
    12. Kupper, Michael & Nendel, Max & Sgarabottolo, Alessandro, 2025. "Risk measures based on weak optimal transport," Center for Mathematical Economics Working Papers 734, Center for Mathematical Economics, Bielefeld University.
    13. Gabriele Visentin & Patrick Cheridito, 2025. "Robust Optimization in Causal Models and G-Causal Normalizing Flows," Papers 2510.15458, arXiv.org.
    14. Beatrice Acciaio & Stephan Eckstein & Songyan Hou, 2024. "Time-Causal VAE: Robust Financial Time Series Generator," Papers 2411.02947, arXiv.org.
    15. Nicolas Boursin & Carl Remlinger & Joseph Mikael & Carol Anne Hargreaves, 2022. "Deep Generators on Commodity Markets; application to Deep Hedging," Papers 2205.13942, arXiv.org.
    16. Beatrice Acciaio & Julio Backhoff & Gudmund Pammer, 2022. "Quantitative Fundamental Theorem of Asset Pricing," Papers 2209.15037, arXiv.org, revised Jan 2024.
    17. Michael Kupper & Max Nendel & Alessandro Sgarabottolo, 2023. "Risk measures based on weak optimal transport," Papers 2312.05973, arXiv.org.
    18. Benjamin Jourdain & Gudmund Pammer, 2023. "An extension of martingale transport and stability in robust finance," Papers 2304.09551, arXiv.org.
    19. Jan Vecer, 2026. "Geometric and Arithmetic Likelihood Aggregation for Diffusions with Heterogeneous Volatility," Papers 2609.09470, arXiv.org.
    20. Beatrice Acciaio & Anastasis Kratsios & Gudmund Pammer, 2022. "Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer," Papers 2201.13094, arXiv.org, revised Mar 2023.

    More about this item

    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:arx:papers:2609.07351. 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: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    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.