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Optimal Dividend Policies with Random Profitability

Author

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  • Max Reppen

    (ETH Zurich)

  • Jean-Charles Rochet

    (University of Zurich, University of Toulouse I, and Swiss Finance Institute)

  • H. Mete Soner

    (ETH Zurich)

Abstract

We study an optimal dividend problem under a bankruptcy constraint. Firms face a trade-off between potential bankruptcy and extraction of profits. In contrast to previous works, general cash flow drifts, including Ornstein–Uhlenbeck and CIR processes, are considered. We provide rigorous proofs of continuity of the value function, whence dynamic programming, as well as uniqueness of the solution to the Hamilton–Jacobi–Bellman equation, and study its qualitative properties both analytically and numerically. The value function is thus given by a nonlinear PDE with a gradient constraint from below in one dimension. We find that the optimal strategy is both a barrier and a band strategy and that it includes voluntary liquidation in parts of the state space. Finally, we present and numerically study extensions of the model, including equity issuance and gambling for resurrection.

Suggested Citation

  • Max Reppen & Jean-Charles Rochet & H. Mete Soner, 2017. "Optimal Dividend Policies with Random Profitability," Swiss Finance Institute Research Paper Series 17-46, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp1746
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    2. Amlys Syahputra Silalahi & Khaira Amalia Fachrudin & Aryanti Sariartha Sianipar & Kharisya Ayu Effendi, 2021. "Analysis of the Bank Specific Factors, Macroeconomics and Oil Price on Dividend Policy," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 165-171.
    3. Giorgio Ferrari & Patrick Schuhmann & Shihao Zhu, 2021. "Optimal Dividends under Markov-Modulated Bankruptcy Level," Papers 2111.03724, arXiv.org, revised Jun 2022.
    4. Menoncin, Francesco & Panteghini, Paolo M. & Regis, Luca & Guerini, Mattia, 2025. "Optimal firm’s dividend and capital structure with mean reverting profitability," International Review of Economics & Finance, Elsevier, vol. 103(C).
    5. Ferrari, Giorgio & Schuhmann, Patrick & Zhu, Shihao, 2022. "Optimal dividends under Markov-modulated bankruptcy level," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 146-172.
    6. Ferrari, Giorgio & Schuhmann, Patrick & Zhu, Shihao, 2021. "Optimal Dividends under Markov-Modulated Bankruptcy Level," Center for Mathematical Economics Working Papers 657, Center for Mathematical Economics, Bielefeld University.
    7. Elena Bandini & Tiziano De Angelis & Giorgio Ferrari & Fausto Gozzi, 2022. "Optimal dividend payout under stochastic discounting," Mathematical Finance, Wiley Blackwell, vol. 32(2), pages 627-677, April.
    8. Guillermo Peña, 2021. "The key role of quoted spreads in financial services and transactions," Economics and Business Letters, Oviedo University Press, vol. 10(3), pages 208-216.
    9. Décamps, Jean-Paul & Villeneuve, Stéphane, 2022. "Learning about profitability and dynamic cash management," Journal of Economic Theory, Elsevier, vol. 205(C).
    10. Chonghu Guan & Jiacheng Fan & Zuo Quan Xu, 2023. "Optimal dividend payout with path-dependent drawdown constraint," Papers 2312.01668, arXiv.org, revised Jan 2026.
    11. Calvia, Alessandro & Ferrari, Giorgio, 2021. "Nonlinear Filtering of Partially Observed Systems Arising in Singular Stochastic Optimal Control," Center for Mathematical Economics Working Papers 651, Center for Mathematical Economics, Bielefeld University.
    12. Alex S. L. Tse, 2020. "Dividend policy and capital structure of a defaultable firm," Mathematical Finance, Wiley Blackwell, vol. 30(3), pages 961-994, July.
    13. Mingxin Guo & Zuo Quan Xu, 2024. "Stochastic optimal self-path-dependent control: A new type of variational inequality and its viscosity solution," Papers 2412.11383, arXiv.org.
    14. Stefan Kremsner & Alexander Steinicke & Michaela Szölgyenyi, 2020. "A Deep Neural Network Algorithm for Semilinear Elliptic PDEs with Applications in Insurance Mathematics," Risks, MDPI, vol. 8(4), pages 1-18, December.
    15. Hansjorg Albrecher & Jinxia Zhu, 2025. "On effects of present-bias on carbon emission patterns towards a net zero target," Papers 2510.27384, arXiv.org.

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