2002Palgrave Macmillan UK eBooksRequires access

Binomial and Trinomial Trees

Hans-Peter Deutsch

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Abstract

Binomial and trinomial trees are very popular tools commonly used in practice to calculate prices and sensitivity parameters of derivatives while avoiding direct reference to the fundamental differential equations governing the price of the instrument. These methods provide a useful alternative to those (numerical or analytical) methods presented in the previous sections for solving differential equations. In principle (ignoring for the moment the potential computing-time problems), binomial and trinomial trees can also be used in pricing path-dependent derivatives. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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What this paper is about

Binomial and trinomial trees are very popular tools commonly used in practice to calculate prices and sensitivity parameters of derivatives while avoiding direct reference to the fundamental differential equations governing the price of the instrument. These methods provide a useful alternative to those (numerical or analytical) methods presented in the previous sections for solving differential equations. In principle (ignoring for the moment the potential computing-time problems), binomial and trinomial trees can also be used in pricing path-dependent derivatives. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Available abstract

Binomial and trinomial trees are very popular tools commonly used in practice to calculate prices and sensitivity parameters of derivatives while avoiding direct reference to the fundamental differential equations governing the price of the instrument. These methods provide a useful alternative to those (numerical or analytical) methods presented in the previous sections for solving differential equations. In principle (ignoring for the moment the potential computing-time problems), binomial and trinomial trees can also be used in pricing path-dependent derivatives. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Trinomial, Trinomial tree, Binomial (polynomial), Binomial options pricing model, Mathematics, Differential (mechanical device), Applied mathematics, Sensitivity (control systems)

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