






2 of 3 people found the following review helpful
5.0 out of 5 stars
Advanced modelling in finance using Excel and VBA, March 14 2004
This is probably the best book written on financial modeling in excel, definitely worth the $50. Comes with a great CDROM. The books strength is its illustration of financial models and implantation in Excel. Since the models focus on static solutions the book is probably of greater use in academics than in industry. It would be great if there was instruction about how to input real time data into Excel and implement the models dynamically. Of particular interest to me is the great VBA code given on the CD, namely the code to calculate autocorrelation, cubic spines, eigenvalues and eigenvectors. This alone was worth the 50 bucks. There are some major deficiencies in this book. Noticeably absent topics include: bond portfolio immunization; swap pricing; forwards and futures hedging; the ARCH, GARCH and CHARMA models. My background is in finance, mathematics and computer science. Unlike the guy above, I don't see any need for advanced mathematics in order to study this book. In fact I am sure you don't. The point is to make excel do it for you. However it will a lot easier for those who understand the finance and mathematics behind what they are telling excel to do. I am assuming that those who are considering this book most likely have taken at least one college level calculus course and one statistics course. But I don't think even that is necessary and definitely not stochastic calculus.









5.0 out of 5 stars
Financial Modeling  2nd Edition, Oct. 17 2003
Great intro to financial modeling, excellent text for undergrad finance and MBA students. Learn core financial topics and Excel simultaneously. Takes financial theory and applies it in excel with real "nuts and bolts" applications. Includes a CD with all the speadheets on it which is alone worth the price. No advanced math or statistics needed, although it would help the reader. Perhaps too basic for a student/graduate Ph.D. in Economics/Finance or M.S. in Financial Engineering.









0 of 2 people found the following review helpful
1.0 out of 5 stars
Mathematics for Economists, Oct. 17 2003
Where is the Comparitve Statics section? Dynamic Analysis? Difference equations? Calculus of Variations? Optimal Control? Etc.









2 of 2 people found the following review helpful
5.0 out of 5 stars
Schaum's Outline Introduction to Mathematical Economics, Oct. 17 2003
This book is excellent, soooo much better than the text required by my instructor, Fundamental Methods of Mathematical Economics by Alpha C. Chiang. I learned infinitely more studying from this book than I did going to lectures and doing homework from the other text. It focuses on calculations, problem solving, and economic applications, not mathematic theory. After all, I am studying to be an economist, not a mathematician.









1 of 2 people found the following review helpful
1.0 out of 5 stars
Fundamental Methods of Mathematical Economics, Oct. 17 2003
Mathematicians should like this book, not economists. The text focuses on mathematic theory, not on calculations and economic applications. This text is not good for applied economics or business.









5.0 out of 5 stars
Analysis of Financial Time Series, Oct. 17 2003
This book is awesome. It starts with bedrock concepts needed for analysis of financial data and it takes the student up to the most recent and important techniques used in the industry today. However, if one expects to fully utilize this text, one should have at least one semester of applied econometrics or some equivalent course in statistics and continuous probability, although it will be practical to study the two topics concurrently.

