Top positive review
120 people found this helpful
Comprehensive coverage of VBA financial models
on March 29, 2002
I like the style of this book. Don't let the small number of pages fool you. The authors didn't get overly wordy explaining the basics of the models (they assume the reader is already a proficient Excel user), and focus instead on explaining the key Excel functions and VBA codes in order to allow the readers to get their own model up and running in a short time. Like the other reviewer said, the authors should be congratulated for such a superb effort.
Many subjects are materials not normally covered in a typical MBA curriculum (although they would in a MS program) Examples: in Chapter 13, Non-normal Distributions and Implied Volatility, the authors showed the way to model a Black & Scholes Equity Option using the more realistic non-normal distribution assumptions acounting for skewness and kurtosis (non-symetry and fat tails). In the Appendix, author introduced the ARIMA models in Excel (modeled typically with statistical or time-series software packages, such as SAS or SPSS), splines curve fitting and lastly estimation of eigenvalues and eigenvectors (for estimation of principal components analysis). You will find the Excel/VBA codes bundled in the CD handy for those who wish to develop more advanced models.
This book is a godsend for busy practitioners who want to master quickly the art and science of building numerical techniques and coding models with Excel. Feel free to email me if you need to know any details from the book.
P.S. book divided into four components
Part ONE: Advanded Modelling in Excel (teaches the advanced Excel functions and procedures, VBA macros and user-defined functions)
Part TWO: Equities
Part THREE: Options on Equities
Part FOUR: Options on Bonds
Appendix: Other VBA functions