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What are the applications of binomial trees?

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closed as not a real question by vonjd, Richard Herron Mar 24 '11 at 13:17

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.If this question can be reworded to fit the rules in the help center, please edit the question.

The question seems to be overly broad. Have you looked at the corresponding Wikipedia article (and the links provided therein)? en.wikipedia.org/wiki/Binomial_options_pricing_model –  olaker Mar 24 '11 at 11:17
question is too broad and too basic - voting to close –  vonjd Mar 24 '11 at 11:56
This is a bit too broad. We are really pushing for focused questions that are deeper than wikipedia. Please check out Wikipedia and Hull's book on options, futures, and other derivatives, and let us know what if that motivates any more questions. –  Richard Herron Mar 24 '11 at 13:21

2 Answers 2

up vote 1 down vote accepted

From wiki's entry

In finance, the binomial options pricing model (BOPM) provides a generalizable numerical method for the valuation of options. The binomial model was first proposed by Cox, Ross and Rubinstein (1979). Essentially, the model uses a "discrete-time" (lattice based) model of the varying price over time of the underlying financial instrument. In general, binomial options pricing models do not have closed-form solutions.

See the full post, http://en.wikipedia.org/wiki/Binomial_options_pricing_model, for methodology/implementation guidelines.

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I think it is not very helpful to cite wikipedia - but it is not your fault but the question is too broad and too basic –  vonjd Mar 24 '11 at 11:55

You can also read about Cox-Ross-Rubinstein model (see e.g. Shreve, Stochastic Calculus for Finance I). Binomial trees are discrete-time models assuming that at each step there are only two possibilities for the change of the price.

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