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Generating Random Numbers with Specified Distributions

  • Rüdiger Seydel
Part of the Universitext book series (UTX)

Abstract

For the simulation and valuation of finance instruments we require numbers with specified distributions. For example. in Section 1.6 we have used numbers Z that were drawn from a standard normal distribution, ZN(0, 1). If possible the numbers should be random. But the generation of “random numbers” by digital computers, after all, is done in a deterministic and entirely predictable way. If this point is to be stressed, one uses the term pseudorandom.

Keywords

Generate Random Standard Normal Variate Parallel Straight Line Monte Carlo Integration Normal Deviate 
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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References

  1. 1.
    Since in our context the predictable origin is clear we omit the modifier “pseudo,” and hereafter use the term random number. Similarly we talk about randomness of these numbers when we mean apparent randomness.Google Scholar
  2. 2.
    f is zero outside S. In this section S is no asset price.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Rüdiger Seydel
    • 1
  1. 1.Institute of MathematicsUniversity of KölnKölnGermany

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