Quantitative Investment Analysis, Workbook (CFA Institute Investment Series) [9781119743675]

Overview

The thoroughly revised and updated fourth edition of the companion workbook to Quantitative Investment Analysis is here.

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.?? Inside you'll find information and exercises to help you:

• Work real-world problems associated with the modern quantitative investment process
• Master visualizing and summarizing data
• Review the fundamentals of single linear and multiple linear regression
• Use multifactor models
• Measure and manage market risk effectively

In both the workbook and the primary Quantitative Investment Analysis, 4th Edition text, the authors go to great lengths to ensure an even treatment of subject matter, consistency of mathematical notation, and continuity of topic coverage that is critical to the learning process.

For everyone who requires a streamlined route to mastering quantitative methods in investments, Quantitative Investment Analysis Workbook, 4th Edition offers world-class practice based on actual scenarios faced by professionals every day.