Quantitative Investment Analysis (eBook)

eBook Download: PDF

2020 | 4. Auflage
944 Seiten
John Wiley & Sons (Verlag)
978-1-119-74365-1 (ISBN)

Infos

Whether you are a novice investor or an experienced practitioner, Quantitative Investment Analysis, 4th Edition has something for you.

Part of the CFA Institute Investment Series, this authoritative guide is relevant the world over and will facilitate your mastery of quantitative methods and their application in today's investment process.

This updated edition provides all the statistical tools and latest information you need to be a confident and knowledgeable investor. This edition expands coverage to Machine Learning algorithms and the role of Big Data in an investment context along with capstone chapters in applying these techniques to factor modeling, risk management and backtesting and simulation in investment strategies. 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. Well suited for motivated individuals who learn on their own, as well as general reference, this complete resource delivers clear, example-driven coverage of a wide range of quantitative methods. Inside you'll find:
* Learning outcome statements (LOS) specifying the objective of each chapter
* A diverse variety of investment-oriented examples both aligned with the LOS and reflecting the realities of today's investment world
* A wealth of practice problems, charts, tables, and graphs to clarify and reinforce the concepts and tools of quantitative investment management

Sharpen your skills by furthering your hands-on experience in the Quantitative Investment Analysis Workbook, 4th Edition--an essential guide containing learning outcomes and summary overview sections, along with challenging problems and solutions.

Inhalt

Preface

Acknowledgements

About the CFA Institute Investment Series

Chapter 1: The Time Value of Money

Chapter 2: Organizing, Visualizing, and Describing Data

Chapter 3: Probability Concepts

Chapter 4: Common Probability Distributions

Chapter 5: Sampling and Estimation

Chapter 6: Hypothesis Testing

Chapter 7: Introduction to Linear Regression

Chapter 8: Multiple Regression

Chapter 9: Time-Series Analysis

Chapter 10: Machine Learning

Chapter 11: Big Data Projects

Chapter 12: Using Multifactor Models

Chapter 13: Measuring and Managing Market Risk

Chapter 14: Backtesting and Simulation

Appendices

Glossary

About the Authors

About the CFA Program

Index

Produkt-Details

• Erscheint lt. Verlag: 7.9.2020
• Reihe/Serie: The CFA Institute Series
• Reihe/Serie: The CFA Institute Series
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Beruf / Finanzen / Recht / Wirtschaft ► Geld / Bank / Börse
• Themenwelt: Recht / Steuern ► Wirtschaftsrecht
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Rechnungswesen / Bilanzen
• Schlagworte: Finance & Investments • Finanz- u. Anlagewesen • Finanzwesen • Investments & Securities • Kapitalanlagen u. Wertpapiere • Quantitative Analyse
• ISBN-10: 1-119-74365-6 / 1119743656
• ISBN-13: 978-1-119-74365-1 / 9781119743651