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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.
List of contents
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
