{"product_id":"quantitative-investment-analysis-workbook-paperback-softback-9781119743675","title":"Quantitative Investment Analysis, Workbook (Paperback \/ softback) 9781119743675","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eQuantitative Investment Analysis, Workbook\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eCFA Institute (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119743675, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 26 October 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e288 pages\u003cbr\u003e25.2 x 17.8 x 1.8 cm, 0.431 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThe thoroughly revised and updated fourth edition of the companion workbook to Quantitative Investment Analysis is here.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNow in its fourth edition, the \u003ci\u003eQuantitative Investment Analysis Workbook\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThe 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eWork real-world problems associated with the modern quantitative investment process\u003c\/li\u003e \u003cli\u003eMaster visualizing and summarizing data\u003c\/li\u003e \u003cli\u003eReview the fundamentals of single linear and multiple linear regression\u003c\/li\u003e \u003cli\u003eUse multifactor models\u003c\/li\u003e \u003cli\u003eMeasure and manage market risk effectively\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIn both the workbook and the primary \u003ci\u003eQuantitative Investment Analysis\u003c\/i\u003e, 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.\u003c\/p\u003e \u003cp\u003eFor 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003ePart 1 Learning Objectives, Summary Overview, and Problems 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Time Value of Money 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 3\u003c\/p\u003e \u003cp\u003eSummary 3\u003c\/p\u003e \u003cp\u003ePractice Problems 4\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Organizing, Visualizing, and Describing Data 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 9\u003c\/p\u003e \u003cp\u003eSummary 9\u003c\/p\u003e \u003cp\u003ePractice Problems 13\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Probability Concepts 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 25\u003c\/p\u003e \u003cp\u003eSummary 26\u003c\/p\u003e \u003cp\u003ePractice Problem 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Common Probability Distributions 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 33\u003c\/p\u003e \u003cp\u003eSummary 34\u003c\/p\u003e \u003cp\u003ePractice Problems 35\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Sampling and Estimation 43\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 43\u003c\/p\u003e \u003cp\u003eSummary 43\u003c\/p\u003e \u003cp\u003ePractice Problems 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Hypothesis Testing 51\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 51\u003c\/p\u003e \u003cp\u003eSummary 52\u003c\/p\u003e \u003cp\u003ePractice Problems 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Introduction to Linear Regression 63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 63\u003c\/p\u003e \u003cp\u003eSummary 63\u003c\/p\u003e \u003cp\u003ePractice Problems 64\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Multiple Regression 75\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 75\u003c\/p\u003e \u003cp\u003eSummary 76\u003c\/p\u003e \u003cp\u003ePractice Problems 78\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Time-Series Analysis 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 103\u003c\/p\u003e \u003cp\u003eSummary 104\u003c\/p\u003e \u003cp\u003ePractice Problems 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Machine Learning 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 123\u003c\/p\u003e \u003cp\u003eSummary 123\u003c\/p\u003e \u003cp\u003ePractice Problems 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Big Data Projects 129\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 129\u003c\/p\u003e \u003cp\u003eSummary 129\u003c\/p\u003e \u003cp\u003ePractice Problems 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Using Multifactor Models 141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 141\u003c\/p\u003e \u003cp\u003eSummary 141\u003c\/p\u003e \u003cp\u003ePractice Problems 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Measuring and Managing Market Risk 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 149\u003c\/p\u003e \u003cp\u003eSummary 149\u003c\/p\u003e \u003cp\u003ePractice Problems 152\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Backtesting and Simulation 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Outcomes 161\u003c\/p\u003e \u003cp\u003eSummary 161\u003c\/p\u003e \u003cp\u003ePractice Problems 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Solutions 169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Time Value of Money 171\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 171\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Organizing, Visualizing, and Describing Data 185\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 185\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Probability Concepts 195\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 195\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Common Probability Distributions 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 199\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Sampling and Estimation 207\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 207\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Hypothesis Testing 215\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 215\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Introduction to Linear Regression 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 223\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Multiple Regression 229\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 229\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Time-Series Analysis 241\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 241\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Machine Learning 249\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 249\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Big Data Projects 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Using Multifactor Models 261\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 261\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Measuring and Managing Market Risk 267\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 267\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Backtesting and Simulation 273\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolutions 273\u003c\/p\u003e \u003cp\u003eAbout the CFA Program 279\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Finance \u0026amp; accounting [\u003ca title=\"See our other books on Finance \u0026amp; accounting\" 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