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American options with acceleration clauses

Author

Listed:
  • Anna Battauz

    (Bocconi University)

  • Sara Staffolani

    (Bocconi University)

Abstract

Acceleration clauses shorten the residual life of an option when an acceleration condition is met. Acceleration clauses are frequent in warrants, American call options on traded stocks. In warrants with the acceleration clause, if an index (e.g. the average underlying stock) triggers an acceleration threshold, the American call option can be exercised on a much shorter maturity (e.g. 30 days). The actual time-to-maturity of an American option with an acceleration condition is therefore stochastic. In order to evaluate these contracts we first reduce the generic American option with stochastic time-to-maturity to a compound American option with constant maturity, and provide estimates for their prices. Finally we propose an efficient algorithm to price American call options with the acceleration clause in a binomial setting.

Suggested Citation

  • Anna Battauz & Sara Staffolani, 2025. "American options with acceleration clauses," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 48(1), pages 13-35, June.
  • Handle: RePEc:spr:decfin:v:48:y:2025:i:1:d:10.1007_s10203-024-00446-0
    DOI: 10.1007/s10203-024-00446-0
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    References listed on IDEAS

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    1. Yagi, Kyoko & Sawaki, Katsushige, 2010. "The pricing and optimal strategies of callable warrants," European Journal of Operational Research, Elsevier, vol. 206(1), pages 123-130, October.
    2. Kian‐Guan Lim & Eric Terry, 2003. "The valuation of multiple stock warrants," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(6), pages 517-534, June.
    3. Carr, Peter, 1998. "Randomization and the American Put," The Review of Financial Studies, Society for Financial Studies, vol. 11(3), pages 597-626.
    4. Vidal Nunes, João Pedro & Ruas, João Pedro & Dias, José Carlos, 2020. "Early exercise boundaries for American-style knock-out options," European Journal of Operational Research, Elsevier, vol. 285(2), pages 753-766.
    5. Detemple, Jérôme & Laminou Abdou, Souleymane & Moraux, Franck, 2020. "American step options," European Journal of Operational Research, Elsevier, vol. 282(1), pages 363-385.
    6. Galai, Dan & Schneller, Meir I, 1978. "Pricing of Warrants and the Value of the Firm," Journal of Finance, American Finance Association, vol. 33(5), pages 1333-1342, December.
    7. Battauz, A. & Pratelli, M., 2004. "Optimal stopping and American options with discrete dividends and exogenous risk," Insurance: Mathematics and Economics, Elsevier, vol. 35(2), pages 255-265, October.
    8. Galai, D, 1989. "A Note On Equilibrium Warrant Pricing-Models And Accounting For Executive Stock-Options," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 27(2), pages 313-315.
    9. Maurizio Pratelli & Sabrina Mulinacci, 1998. "Functional convergence of Snell envelopes: Applications to American options approximations," Finance and Stochastics, Springer, vol. 2(3), pages 311-327.
    10. Schultz, Paul, 1993. "Calls of Warrants: Timing and Market Reaction," Journal of Finance, American Finance Association, vol. 48(2), pages 681-696, June.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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