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Accelerated share repurchase and other buyback programs: what neural networks can bring

Author

Listed:
  • Olivier Guéant

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Iuliia Manziuk

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Jiang Pu

    (Institut europlace de finance)

Abstract
When firms want to buy back their own shares, they have a choice between several alternatives. If they often carry out open market repurchase, they also increasingly rely on banks through complex buyback contracts involving option components, e.g. accelerated share repurchase contracts, VWAP-minus profit-sharing contracts, etc. The entanglement between the execution problem and the option hedging problem makes the management of these contracts a difficult task that should not boil down to simple Greek-based risk hedging, contrary to what happens with classical books of options. In this paper, we propose a machine learning method to optimally manage several types of buyback contract. In particular, we recover strategies similar to those obtained in the literature with partial differential equation and recombinant tree methods and show that our new method, which does not suffer from the curse of dimensionality, enables to address types of contract that could not be addressed with grid or tree methods.

Suggested Citation

  • Olivier Guéant & Iuliia Manziuk & Jiang Pu, 2020. "Accelerated share repurchase and other buyback programs: what neural networks can bring," Post-Print hal-03252518, HAL.
    • Handle: RePEc:hal:journl:hal-03252518
    DOI: 10.1080/14697688.2020.1729397
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    References listed on IDEAS

    as
    1. Olivier Guéant & Jiang Pu & Guillaume Royer, 2015. "Accelerated Share Repurchase: Pricing And Execution Strategy," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-31.
    2. Bargeron, Leonce & Kulchania, Manoj & Thomas, Shawn, 2011. "Accelerated share repurchases," Journal of Financial Economics, Elsevier, vol. 101(1), pages 69-89, July.
    3. Merton H. Miller & Franco Modigliani, 1961. "Dividend Policy, Growth, and the Valuation of Shares," The Journal of Business, University of Chicago Press, vol. 34, pages 411-411.
    4. S. Jaimungal & D. Kinzebulatov & D. H. Rubisov, 2017. "Optimal accelerated share repurchases," Applied Mathematical Finance, Taylor & Francis Journals, vol. 24(3), pages 216-245, May.
    5. Ali Akyol & Jin S. Kim & Chander Shekhar, 2014. "The Causes and Consequences of Accelerated Stock Repurchases," International Review of Finance, International Review of Finance Ltd., vol. 14(3), pages 319-343, September.
    6. Weston, J. Fred & Siu, Juan A., 2003. "Changing Motives for Share Repurchases," University of California at Los Angeles, Anderson Graduate School of Management qt9146588t, Anderson Graduate School of Management, UCLA.
    7. Chiu, Yung-Chin & Liang, Woan-lih, 2015. "Do firms manipulate earnings before accelerated share repurchases?," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 86-95.
    8. Ahmet C. Kurt, 2018. "Managing EPS and signaling undervaluation as a motivation for repurchases," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 17(4), pages 453-481, November.
    9. Manoj Kulchania, 2013. "Market Micrsotructure Changes Around Accelerated Share Repurchase Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(1), pages 91-114, January.
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    Cited by:

    1. Mohamed Hamdouche & Pierre Henry-Labordere & Huyen Pham, 2023. "Policy gradient learning methods for stochastic control with exit time and applications to share repurchase pricing," Papers 2302.07320, arXiv.org.
    2. Bastien Baldacci & Philippe Bergault & Olivier Gu'eant, 2024. "Dispensing with optimal control: a new approach for the pricing and management of share buyback contracts," Papers 2404.13754, arXiv.org, revised Jul 2024.
    3. Laura Leal & Mathieu Lauri`ere & Charles-Albert Lehalle, 2020. "Learning a functional control for high-frequency finance," Papers 2006.09611, arXiv.org, revised Feb 2021.
    4. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    5. Parley R Yang & Alexander Y Shestopaloff, 2024. "Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder," Papers 2406.19414, arXiv.org.
    6. Tao-Hsien Dolly King & Charles E. Teague, 2022. "Accelerated share repurchases: value creation or extraction," Review of Quantitative Finance and Accounting, Springer, vol. 58(1), pages 171-216, January.

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