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Constructing Binomial Trees Via Random Maps for Analysis of Financial Assets

Author

Listed:
  • Antonio Airton Carneiro de Freitas

    (FEA USP)

  • José Roberto Securato

    (FEA USP)

Abstract

Random maps can be constructed from a priori knowledge of the financial assets. It is also addressed the reverse problem, i.e. from a function of an empirical stationary probability density function we set up a random map that naturally leads to an implied binomial tree, allowing the adjustment of models, including the ability to incorporate jumps. An applica- tion related to the options market is presented. It is emphasized that the quality of the model to incorporate a priori knowledge of the financial asset may be affected, for example, by the skewed vision of the analyst. (Full article available in Portuguese only)

Suggested Citation

  • Antonio Airton Carneiro de Freitas & José Roberto Securato, 2010. "Constructing Binomial Trees Via Random Maps for Analysis of Financial Assets," Brazilian Review of Finance, Brazilian Society of Finance, vol. 8(1), pages 25-43.
  • Handle: RePEc:brf:journl:v:8:y:2010:i:1:p:25-43
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    More about this item

    Keywords

    binomial trees; options; random maps;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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