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This single book has all you've
been looking for, doesn't it ?
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by Ekkehart Boehmer, John Broussard, Juha-Pekka Kallunki
List Price: $23.95
Our Price: $23.95
Availability: Usually ships within 24 hours.
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Book Description
Researchers, graduate students, and practitioners in the financial market now have the first reference-style handbook detailing the mechanics of statistical testing on financial and accounting data. This one-of-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.
About the Author
Ekkehart Boehmer Ekkehart Boehmer is a Director of Research at the New York Stock Exchange. Previously, he has held a Heisenberg Research Fellowship awarded by the German Science Foundation (DFG). He has also worked as an Economic Fellow at the U.S. Securities and Exchange Commisssion and as an Assistant Professor at Humboldt University, Berlin, Germany, and Louisiana State University. Dr. Boehmer received a Ph.D. in Finance and an M.A. in Economics from the University of Georgia. He has...  read more
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Copyright (c) by Eugene Kisly and Victor Kisly, 1999-2000
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