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Quantitative Investment Analysis, Workbook
CFA Institute (Author)
9781119743675, Wiley
Paperback / softback, published 26 October 2020
288 pages
25.2 x 17.8 x 1.8 cm, 0.431 kg
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: 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.
Part 1 Learning Objectives, Summary Overview, and Problems 1 Chapter 1 The Time Value of Money 3 Learning Outcomes 3 Summary 3 Practice Problems 4 Chapter 2 Organizing, Visualizing, and Describing Data 9 Learning Outcomes 9 Summary 9 Practice Problems 13 Chapter 3 Probability Concepts 25 Learning Outcomes 25 Summary 26 Practice Problem 28 Chapter 4 Common Probability Distributions 33 Learning Outcomes 33 Summary 34 Practice Problems 35 Chapter 5 Sampling and Estimation 43 Learning Outcomes 43 Summary 43 Practice Problems 45 Chapter 6 Hypothesis Testing 51 Learning Outcomes 51 Summary 52 Practice Problems 54 Chapter 7 Introduction to Linear Regression 63 Learning Outcomes 63 Summary 63 Practice Problems 64 Chapter 8 Multiple Regression 75 Learning Outcomes 75 Summary 76 Practice Problems 78 Chapter 9 Time-Series Analysis 103 Learning Outcomes 103 Summary 104 Practice Problems 105 Chapter 10 Machine Learning 123 Learning Outcomes 123 Summary 123 Practice Problems 125 Chapter 11 Big Data Projects 129 Learning Outcomes 129 Summary 129 Practice Problems 131 Chapter 12 Using Multifactor Models 141 Learning Outcomes 141 Summary 141 Practice Problems 143 Chapter 13 Measuring and Managing Market Risk 149 Learning Outcomes 149 Summary 149 Practice Problems 152 Chapter 14 Backtesting and Simulation 161 Learning Outcomes 161 Summary 161 Practice Problems 163 Part II Solutions 169 Chapter 1 The Time Value of Money 171 Solutions 171 Chapter 2 Organizing, Visualizing, and Describing Data 185 Solutions 185 Chapter 3 Probability Concepts 195 Solutions 195 Chapter 4 Common Probability Distributions 199 Solutions 199 Chapter 5 Sampling and Estimation 207 Solutions 207 Chapter 6 Hypothesis Testing 215 Solutions 215 Chapter 7 Introduction to Linear Regression 223 Solutions 223 Chapter 8 Multiple Regression 229 Solutions 229 Chapter 9 Time-Series Analysis 241 Solutions 241 Chapter 10 Machine Learning 249 Solutions 249 Chapter 11 Big Data Projects 251 Solutions 251 Chapter 12 Using Multifactor Models 261 Solutions 261 Chapter 13 Measuring and Managing Market Risk 267 Solutions 267 Chapter 14 Backtesting and Simulation 273 Solutions 273 About the CFA Program 279
Subject Areas: Finance & accounting [KF]
