MathFinance Seminar on Numerical Methods for Derivatives Pricing

MathFinance Seminar on Numerical Methods for Derivatives Pricing

Analytix - Trees - Finite Differences - Monte Carlo Simulations

 

Please your inquiries
 

Seminar Program

  1. Introduction to derivatives
    • Product Catalogue
    • Relevance of price sensitivities (Greeks)
  2. Analytical valuation procedures
    • Option valuation in the Black-Scholes model
    • The Black-Scholes formula in Mathematica
    • Higher dimensional problems
    • Efficient Computation of Greeks
    • Implementing a spread option in C/C++
  3. Trees
    • Binomial trees
    • Implementing American options in Excel/Visual Basic
    • Trinomial Trees
    • Implementing a Double barrier option
  4. Finite Difference Methods
    • The basic method and their applications
    • Explicit, Implicit and Crank-Nicholson: Theta notation, convergence and stability issues
    • Relationship between Trinomial Trees and explicit finite differece methods
    • Alternating Differences Implicit (ADI) for higher dimensional problems
    • Implementing Heston's stochastic volatility model
    • Hopscotch Method
  5. Monte Carlo Simulations
    • The basic setup
    • Variance reduction methods
    • Computing Greeks in Monte Carlo
    • American Options
    • Brownian Bridges
    • Randon number generators
    • Quasi randon number generation
  6. When to use which method
  7. Implementation examples in Excel/Visual Basic, C/C++, Mathematica, Fortran, Java, Javascript
This can serve as a four day crash course or a one semester lecture.






























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