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In Principles of Quantitative Equity Investing,pioneering financial researcher Dr. Sugata Ray demonstrates how to invest successfully in US equities with quantitative strategies, using rigorous rule sets to decide when and what to trade.
Whether you’re a serious investor, professional advisor, or student of finance, Ray will help you determine the optimal quantitative rules for your investing objectives, and then "backtest" their performance through any historical time period. He demonstrates each key technique using state-of-the-art Equities Lab software — and this book comes with 20 weeks of free access to Equities Lab, plus a discount on its purchase.
Ray covers key topics including stock screening, portfolio rebalancing, market timing, returns and dividends, benchmarks, bespoke measures, and more. He also presents a series of powerful screens built by many of the world’s most successful investors.
Together, this guidebook and software combine to offer a turnkey solution for creating virtually any quantitative strategy, and then accurately estimating its performance and risk characteristics — helping you systematically maximize your profits and control your risk.
Editorial ReviewsFrom the Back Cover
“Dr. Ray covers both the theory and practice of creating quantitative stock portfolio strategies and backtesting them using the software that is included. The book and the included software provide a complete solution for investors and students looking to learn and implement quantitative investing strategies. The book is easy to read, and the steps to use the software are clearly explained.”
--Professor Mahendrarajah Nimalendran, John H. and Mary Lou Dasburg Professor of Finance, Warrington College of Business Administration, University of Florida
“Dr. Ray has done a great job outlining how a DIY investor can invest in systematic strategies. Highly recommended!”
--Wesley R. Gray, Executive Managing Member, Alpha Architect
- Buy and sell based on rigorous, tested rules specifying what and when to trade
- Create your own strategies and backtest them against historical data
- Includes 20 weeks of free access to Equities Lab, powerful software for screening, backtesting, charting, and more
In Principles of Quantitative Equity Investing, pioneering financial researcher Dr. Sugata Ray demonstrates how to invest successfully in U.S. equities with quantitative strategies, using rigorous rule sets to decide when and what to trade. Ray covers key topics including stock screening, portfolio rebalancing, market timing, appropriately benchmarking performance, and more. He also presents powerful screens built by some of the world’s most successful investors.
Whether you’re a serious investor, professional advisor, or student of finance, Ray will help you determine the optimal quantitative rules for your investing objectives and then backtest their performance through any historical time period. He demonstrates each key technique using state-of-the-art Equities Lab software--and this book comes with 20 weeks of free access to Equities Lab plus a discount on future usage.
Together, this book and software offer a turnkey solution for creating virtually any quantitative strategy and then accurately estimating its performance and risk characteristics--helping you systematically maximize your profits and control your risk.
Quantitative investing involves making buy-and-sell decisions by following a rigorous, well-tested set of rules built with clear and unambiguous criteria. Whether you use quantitative methods for long-term portfolio management or shorter term trades, these rules can help you increase returns, control risk, and eliminate behavioral biases.
This guide makes quantitative investing accessible and practical for every investor, both personal and professional. Sugata Ray walks you through all three steps: defining screens, performing backtests, and implementing your strategies.
Focusing specifically on U.S. equities, Ray gives you extensive hands-on practice using both Microsoft Excel and the powerful Equities Lab quantitative analysis tool. As a purchaser of this book, you’re entitled to a free 20-week trial subscription to Equities Lab and a discounted subscription afterward.
You’ll learn how to start small, matching quantitative strategies with your investment style and comfort level. As you gain confidence, Ray helps you embed quantitative intelligence throughout all your investment decisions.
By the time you’re done, you’ll be able to systematically test virtually any investment idea--and transform your best ideas into strategies you can automate, execute, and profit from.
Screen
Turn your idea into a trading strategy that specifies what to buy and sell
Backtest
See how your strategy would have performed in the past
Implement
Use your best strategies to make trades, invest, and earn profits
About the Author
Sugata Ray teaches and conducts research at the University of Florida. Ray’s research has been published in a number of peer-reviewed journals, including the Journal of Investment Management and the Journal of Financial Markets. Ray’s work has been presented to regulators, including those at the SEC and the Fed; academics at conferences such as the American Finance Association and European Finance Association; and industry participants. Ray’s research has been covered in CNN, The Economist, the Financial Times, NPR, andThe Wall Street Journal, among numerous other trade and popular press outlets. In addition to his academic pursuits, Ray also develops and manages quantitative investment strategies for Fundamental Global Investors, an investment company, and Capital Wealth Advisors, a wealth management company. Previously, Ray worked in various capacities in a number of financial services firms and asset managers, including Legg Mason, Oliver Wyman, and Lehman Brothers. He received his Doctorate, Master’s, and Bachelor’s degrees from the Wharton School at the University of Pennsylvania. You can read more about the author at his website: www.sugata.in.
- Hardcover: 224 pages
- Publisher: FT Press; 1 edition (June 28, 2015)
- Language: English
- ISBN-10: 0134192796
- ISBN-13: 978-0134192796
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