IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i9p953-d542540.html
   My bibliography  Save this article

Noether Theorem in Stochastic Optimal Control Problems via Contact Symmetries

Author

Listed:
  • Francesco C. De Vecchi

    (Institute for Applied Mathematics & Hausdorff Center for Mathematics, Universität Bonn, Endenicher Allee 60, 53115 Bonn, Germany
    These authors contributed equally to this work.)

  • Elisa Mastrogiacomo

    (Dipartimento di Economia, Università degli Studi dell’Insubria, Via Montegeneroso 71, 21100 Varese, Italy
    These authors contributed equally to this work.)

  • Mattia Turra

    (Institute for Applied Mathematics & Hausdorff Center for Mathematics, Universität Bonn, Endenicher Allee 60, 53115 Bonn, Germany
    These authors contributed equally to this work.)

  • Stefania Ugolini

    (Dipartimento di Matematica, Università degli Studi di Milano, Via Saldini 50, 20113 Milano, Italy
    These authors contributed equally to this work.)

Abstract

We establish a generalization of the Noether theorem for stochastic optimal control problems. Exploiting the tools of jet bundles and contact geometry, we prove that from any (contact) symmetry of the Hamilton–Jacobi–Bellman equation associated with an optimal control problem it is possible to build a related local martingale. Moreover, we provide an application of the theoretical results to Merton’s optimal portfolio problem, showing that this model admits infinitely many conserved quantities in the form of local martingales.

Suggested Citation

  • Francesco C. De Vecchi & Elisa Mastrogiacomo & Mattia Turra & Stefania Ugolini, 2021. "Noether Theorem in Stochastic Optimal Control Problems via Contact Symmetries," Mathematics, MDPI, vol. 9(9), pages 1-34, April.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:953-:d:542540
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/9/953/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/9/953/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tetsuya Misawa, 1999. "Conserved Quantities and Symmetries Related to Stochastic Dynamical Systems," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 51(4), pages 779-802, December.
    2. de Lara, Michel Cohen, 1998. "Reduction of the Zakai equation by invariance group techniques," Stochastic Processes and their Applications, Elsevier, vol. 73(1), pages 119-130, January.
    3. Paul Milgrom & Ilya Segal, 2002. "Envelope Theorems for Arbitrary Choice Sets," Econometrica, Econometric Society, vol. 70(2), pages 583-601, March.
    4. Fred Espen Benth & Kenneth Hvistendahl Karlsen & Kristin Reikvam, 2003. "Merton's portfolio optimization problem in a Black and Scholes market with non‐Gaussian stochastic volatility of Ornstein‐Uhlenbeck type," Mathematical Finance, Wiley Blackwell, vol. 13(2), pages 215-244, April.
    5. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    6. Jean-Pierre Fouque & Ronnie Sircar & Thaleia Zariphopoulou, 2017. "Portfolio Optimization And Stochastic Volatility Asymptotics," Mathematical Finance, Wiley Blackwell, vol. 27(3), pages 704-745, July.
    Full references (including those not matched with items on IDEAS)

    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. Francesco C. De Vecchi & Elisa Mastrogiacomo & Mattia Turra & Stefania Ugolini, 2021. "Noether theorem in stochastic optimal control problems via contact symmetries," Papers 2102.03172, arXiv.org.
    2. Jean-Pierre Fouque & Ruimeng Hu & Ronnie Sircar, 2021. "Sub- and Super-solution Approach to Accuracy Analysis of Portfolio Optimization Asymptotics in Multiscale Stochastic Factor Market," Papers 2106.11510, arXiv.org, revised Oct 2021.
    3. Felipe S. Iachan, 2020. "Capital Budgeting and Risk Taking Under Credit Constraints," Management Science, INFORMS, vol. 66(9), pages 4292-4314, September.
    4. Guiyuan Ma & Song-Ping Zhu & Boda Kang, 2020. "A Numerical Solution of Optimal Portfolio Selection Problem with General Utility Functions," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 957-981, March.
    5. Keshavarz Haddad, Gholamreza & Heidari, Hadi, 2020. "Optimal Portfolio Allocation with Price Limit Constraint," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(2), pages 123-134, April.
    6. Wang, Hang & Hu, Zhijun, 2020. "Optimal consumption and portfolio decision with stochastic covariance in incomplete markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    7. Daeyung Gim & Hyungbin Park, 2021. "A deep learning algorithm for optimal investment strategies," Papers 2101.12387, arXiv.org.
    8. Jan Obłój & Johannes Wiesel, 2021. "Distributionally robust portfolio maximization and marginal utility pricing in one period financial markets," Mathematical Finance, Wiley Blackwell, vol. 31(4), pages 1454-1493, October.
    9. Tao Pang & Katherine Varga, 2019. "Portfolio Optimization for Assets with Stochastic Yields and Stochastic Volatility," Journal of Optimization Theory and Applications, Springer, vol. 182(2), pages 691-729, August.
    10. Chen, Shun & Ge, Lei, 2021. "A learning-based strategy for portfolio selection," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 936-942.
    11. Horváth, Ferenc, 2017. "Essays on robust asset pricing," Other publications TiSEM e54d7b33-1f27-4b0e-9f84-f, Tilburg University, School of Economics and Management.
    12. Strulovici, Bruno & Szydlowski, Martin, 2015. "On the smoothness of value functions and the existence of optimal strategies in diffusion models," Journal of Economic Theory, Elsevier, vol. 159(PB), pages 1016-1055.
    13. Strulovici, Bruno & Szydlowski, Martin, 2012. "On the Smoothness of Value Functions," MPRA Paper 36326, University Library of Munich, Germany, revised 31 Jan 2012.
    14. Marco Piccirilli & Tiziano Vargiolu, 2018. "Optimal Portfolio in Intraday Electricity Markets Modelled by L\'evy-Ornstein-Uhlenbeck Processes," Papers 1807.01979, arXiv.org.
    15. Yaacov Kopeliovich & Michael Pokojovy, 2024. "On Merton's Optimal Portfolio Problem under Sporadic Bankruptcy," Papers 2403.15923, arXiv.org.
    16. Sona Kilianova & Daniel Sevcovic, 2013. "Transformation Method for Solving Hamilton-Jacobi-Bellman Equation for Constrained Dynamic Stochastic Optimal Allocation Problem," Papers 1307.3672, arXiv.org, revised Jul 2013.
    17. Kaido, Hiroaki, 2017. "Asymptotically Efficient Estimation Of Weighted Average Derivatives With An Interval Censored Variable," Econometric Theory, Cambridge University Press, vol. 33(5), pages 1218-1241, October.
    18. Anne Lavigne, 2006. "Gouvernance et investissement des fonds de pension privés aux Etats-Unis," Working Papers halshs-00081401, HAL.
    19. An Chen & Thai Nguyen & Thorsten Sehner, 2022. "Unit-Linked Tontine: Utility-Based Design, Pricing and Performance," Risks, MDPI, vol. 10(4), pages 1-27, April.
    20. Alan J. Auerbach, 1981. "Evaluating the Taxation of Risky Assets," NBER Working Papers 0806, National Bureau of Economic Research, Inc.

    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:gam:jmathe:v:9:y:2021:i:9:p:953-:d:542540. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.