STAT 906 FALL 2005
Don L. Mcleish

Computer Intensive Methods For Stochastic Models in Finance


COURSE SLIDES (2005)

Slides 1-56

 

COURSE SLIDES (2004)

Slides 101-150

slides 151-200

slides 200-250

slides 250-275

low discrepancy sequences

slides 276-379 (some revision may be necessary)

past presentations

presentations, Nov 10, Nov 17

Final Project Presentation schedule

 


COURSE NOTES FALL 2004

Newer version, Chapters 1-6
  Contents Page
  Chapter 1: Introduction 1
  Chapter 2: Some Basic Theory of Finance 13
  Chapter 3: Basic Monte Carlo Methods 97
  Chapter 4: Variance Reduction Techniques 211
  Chapter 5: Simulating the Value of an Option 265
  Chapter 6: Quasi-Monte Carlo Multiple Integration 311
  Chapter 7: Estimation and Calibration 339
  Chapter 8: Sensitivity Analysis, Estimating Derivatives 413
  Chapter 9. Conclusions  
  References  
  Appendix D: Partial Differential Equations  


 


PROJECTS

Project topics, past and suggested

Some Problems


MATLAB FUNCTIONS
callopt callopt2 norminv
blsprice gamrnd gaminv
gamcdf stratified control
GG importance corput halton