As the first step in the decommissioning of the site has been converted to read-only mode.

Here are some tips for How to share your SAS knowledge with your professional network.

Using SAS in Financial Research By Juha-Pekka Kallunki, John Broussard, and Ekkehart Boehmer

From sasCommunity
Jump to: navigation, search

Using SAS in Financial Research By Juha-Pekka Kallunki, John Broussard, and Ekkehart Boehmer


List price: 23.95USD
182 pages
Order No.: 57601
ISBN: 1-59047-039-7
Year: 2002


Researchers, graduate students, and practitioners in the financial market now have the first referencestyle handbook detailing the mechanics of statistical testing on financial and accounting data. This oneof- a-kind book illustrates how to use SAS software to conduct basic empirical analyses of stock market and financial statement data. It covers various research topics, including investigating the predictability of stock returns, estimating the risk of common stock, and analyzing the impact of earnings and other financial statement information. The use of the SAS language to investigate these issues is demonstrated with numerous real-world examples employing traditional to state-of-the-art analytical estimation techniques. Main topics covered are variance ratio testing, capital asset pricing model, event studies, value versus growth, earnings response coefficients, and microstructure analysis. Readers will find the merging of theoretical and practical concepts unique and informative. The format of this book enables users to go directly to the research tools and techniques required by the task at hand. In addition, a line-by-line discussion of all SAS code is provided, enabling users to interpret all variables and syntax easily.

SAS Products: Base SAS, SAS/EIS, SAS/GRAPH, SAS/IML, SAS/INSIGHT, SAS/OR, SAS/STAT Releases: 8.2, 8.1, 8.0, 7.00, 6.12, 6.11 Operating Systems: CMS, OS/390, UNIX, OpenVMS Alpha, Windows

As stated in the above description, this SAS book by users is for knowledgeable researchers, graduate students and financial practitioners. The authors do an excellent presentation introducing their audience how to use SAS to analyze 10 specific examples of financial topics:

  • Chapter 2 - Random Walking or Walking Randomly: Using SAS to Conduct Variance Ratio Testing of Asset prices
  • Chapter 3 – Analyzing Winners and Losers: Using SAS to test the Overreaction Hypothesis
  • Chapter 4 – Cross-Sectional approach to the empirical test of the Capital Asset Pricing Model
  • Chapter 5 – Event Studies
  • Chapter 6 – Effective Use of SAS Macros: An application to event studies
  • Chapter 7 – Association types of Studies: Investigating the Price-Earnings Relationship
  • Chapter 8 – Predicting Bankruptcy from Financial Distress Characterization Models
  • Chapter 9 – Using Accounting information to Forecast Market Performance
  • Chapter 10 – Analysis of Transaction Data

It was refreshing to find the authors provided a summary of each example’s topic explaining the output from the various SAS PROCs used and the statistical interpretation with respect to the hypothesis being tested in simple to understand language. In addition, the actual SAS code is listed, highlighted and illustrated in such a way as to make it easy for people to start using SAS quickly and easily to do their financial and statistical analysis.

Being an applied mathematician and statistician but with no formal education and limited experience in economics or the Stock Market, I found the book enlightening to some of the inner philosophies of Economics and Stock Market Trading Practices. And for those people involved in such careers and having to perform financial research, I would highly recommend this book as a valuable asset to their financial tools, especially in the early stages of their careers when most have to perform such analysis using computer software to perform the statistical analyzes.

Reviewed by
Charles Patridge
Sr. Data Engineer
Full Capture Solutions, Inc.

More information about this book and be found at