Generalized Cox-Ross-Rubinstein Binomial Models

Published Online:https://doi.org/10.1287/mnsc.1060.0652

References

  • Boyle P. P., Lau S. H. Bumping up against the barrier with the binomial method. J. Derivatives (1994) 1(4):6–14CrossrefGoogle Scholar
  • Broadie M., Detemple J. American option valuation: New bounds, approximations, and a comparison of existing methods. Rev. Financial Stud. (1996) 9(4):1211–1250CrossrefGoogle Scholar
  • Cox J. C., Ross S. A., Rubinstein M. Option pricing: A simplified approach. J. Financial Econom. (1979) 7(3):229–263CrossrefGoogle Scholar
  • Derman E., Kani I., Ergener D., Bardhan I. Enhanced numerical methods for options with barriers. Financial Analysts J. (1995) 51(6):65–74CrossrefGoogle Scholar
  • Diener F., Diener M. Asymptotics of the price oscillations of a European call option in a tree model. Math. Finance (2004) 14(2):271–293CrossrefGoogle Scholar
  • Figlewski S., Gao B. The adaptive mesh model: A new approach to efficient option pricing. J. Financial Econom. (1999) 53(3):313–351CrossrefGoogle Scholar
  • Heston S., Zhou G. On the rate of convergence of discrete-time contingent claims. Math. Finance (2000) 10(1):53–75CrossrefGoogle Scholar
  • Jarrow R., Rudd A.Option Pricing (1983) (Irwin, Homewood, IL) Google Scholar
  • Leisen D. P. J. Pricing the American put option: A detailed convergence analysis for binomial models. J. Econom. Dynam. Control (1998) 22(8–9):1419–1444CrossrefGoogle Scholar
  • Leisen D. P. J., Reimer M. Binomial models for option valuation—examining and improving convergence. Appl. Math. Finance (1996) 3(4):319–346CrossrefGoogle Scholar
  • Omberg E. Efficient discrete time jump process models in option pricing. J. Financial Quant. Anal. (1988) 23(2):161–174CrossrefGoogle Scholar
  • Ritchken P. On pricing barrier options. J. Derivatives (1995) 3(2):19–28CrossrefGoogle Scholar
  • Tian Y. A modified lattice approach to option pricing. J. Futures Markets (1993) 13(5):563–577CrossrefGoogle Scholar
  • Tian Y. A flexible binomial option pricing model. J. Futures Markets (1999) 19(7):817–843CrossrefGoogle Scholar
  • Uspensky J. V.Introduction to Mathematical Probability (1937) (McGraw-Hill, New York) Google Scholar
  • Widdicks M., Andricopoulos A. D., Newton D. P., Duck P. W. On the enhanced convergence of standard lattice methods for option pricing. J. Futures Markets (2002) 22(4):315–338CrossrefGoogle Scholar
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