| Description |
vi, 279 pages : illustrations ; 26 cm |
| Series |
CFA Institute investment series.
|
| Contents |
Pt. 1. Learning outcomes, summary overview, and problems -- pt. 2. Solutions |
| Summary |
Now in its fourth edition, the Quantitative Investment Analysis Workbook offers a range of practical information and exercises that will facilitate your mastery of quantitative methods and their application in today's investment process. Part of the reputable CFA Institute Investment Series, the workbook is designed to further your hands-on experience with a variety of learning outcomes, summary overview sections, and challenging problems and solutions. The workbook provides all the statistical tools and latest information to help you become a confident and knowledgeable investor, including expanded problems on Machine Learning algorithms and the role of Big Data in investment contexts. Well suited for motivated individuals who learn on their own, as well as a general reference, this companion resource delivers a clear, example-driven method for practicing the tools and techniques covered in the primary Quantitative Investment Analysis, 4th Edition text. -- publisher supplied |
| Subject |
Investment analysis -- Mathematical models
|
|
Investment analysis -- Mathematical models.
|
| Reading List |
MAF759 prescribed text 2024
|
| Author |
DeFusco, Richard Armand, author
|
|
McLeavey, Dennis W., author
|
|
Pinto, Jerald E., author
|
|
Runkle, David E., author
|
| LC no. |
2007619321 |
| ISBN |
9781119743675 |
|
1119743672 |
|
