Mathematical Modeling in Finance with Stochastic Processes

(Ben Green) #1

64 CHAPTER 1. BACKGROUND IDEAS



  1. Weisstein, Eric W. “Stochastic Process.” From MathWorld–A Wolfram
    Web Resource. Stochastic Process

  2. Weisstein, Eric W. “Markov Chain.” From MathWorld–A Wolfram
    Web Resource. Markov Chain

  3. Weisstein, Eric W. “Markov Process.” From MathWorld–A Wolfram
    Web Resource. Markov Process

  4. Julia Ruscher studying stochastic processes


1.8 A Binomial Model of Mortgage Collater-


alized Debt Obligations (CDOs)


Rating


Mathematically Mature: may contain mathematics beyond calculus with
proofs.


Section Starter Question


How do you evaluate cumulative binomial probabilities when the value ofn
is large, and the value ofpis small?


Key Concepts



  1. We can make a simple mathematical model of a financial derivative
    using only the idea of a binomial probability.

  2. We must investigate the sensitivity of the model to the parameter values
    in order to completely understand the model.

  3. This simple model provides our first illustration of the model cycle
    applied to a situation in mathematical finance, but even so, it yields
    valuable insights.

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