Finding Alphas - Igor Tulchinsky

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Résumé :
Discover the ins and outs of designing predictive trading models Drawing on the expertise of WorldQuant's global network, this new edition of Finding Alphas: A Quantitative Approach to Building Trading Strategies contains significant changes and updates to the original material, with new and updated data and examples. Nine chapters have been added about alphas - models used to make predictions regarding the prices of financial instruments. The new chapters cover topics including alpha correlation, controlling biases, exchange-traded funds, event-driven investing, index alphas, intraday data in alpha research, intraday trading, machine learning, and the triple axis plan for identifying alphas. You'll also find details of how to use WebSim, WorldQuant's web-based simulation platform, to test your alphas. * Provides more references to the academic literature * Includes new, high-quality material * Organizes content in a practical and easy-to-follow manner * Adds new alpha examples with formulas and explanations If you're looking for the latest information on building trading strategies from a quantitative approach, this book has you covered.

Biographie:
IGOR TULCHINSKY is the Founder and CEO of WorldQuant, LLC, a private institutional investment management complex with offices worldwide. He is also Founder of the WorldQuant Foundation, which offers scholarships to outstanding students committed to pursuing higher education in the fields of science and quantitative studies. Based on the belief that education should be free for all, he has also founded WorldQuant University, which offers a tuition free open online master degree program in quantitative finance.

Sommaire:
Preface xi Acknowledgments xiii About the WebSim? Website xv Part I Introduction 1 1 Introduction to Alpha Design 3 By Igor Tulchinsky 2 Alpha Genesis Life-Cycle of a Quantitative Model Financial Price Prediction 7 By Geoffrey Lauprete 3 Cutting Losses 13 Part II Design and Evaluation 19 4 Alpha Design 21 By Scott Bender/Yongfeng He 5 How to Develop an Alpha. I: Logic with an Example 27 By Pankaj Bakliwal 6 How to Develop an Alpha. II: A Case Study 31 By Hongzhi Chen 7 Fundamental Analysis 43 By Xinye Tang/Kailin Qi 8 Equity Price and Volume 49 By Cong Li 9 Turnover 51 By Pratik Patel 10 Backtest ? Signal or Overfitting 55 By Peng Yan 11 Alpha and Risk Factors 61 By Peng Wan 12 The Relationship between Alpha and Portfolio Risk 65 By Ionut Aron 13 Risk and Drawdowns 71 By Hammad Khan 14 Data and Alpha Design 79 By Weijia Li 15 Statistical Arbitrage, Overfitting, and Alpha Diversity 85 By Zhuangxi Fang 16 Techniques for Improving the Robustness of Alphas 89 By Michael Kozlov 17 Alphas from Automated Search 93 By Yu Huang 18 Algorithms and Special Techniques in Alpha Research 97 By Sunny Mahajan Part III Extended Topics 101 19 Impact of News and Social Media on Stock Returns 103 By Wancheng Zhang 20 Stock Returns Information from the Stock Options Market 109 By Swastik Tiwari 21 Introduction to Momentum Alphas 117 By Zhiyu Ma 22 Financial Statement Analysis 119 By Paul A. Griffin 23 Institutional Research 101 127 By Benjamin Ee 24 Introduction to Futures Trading 145 By Rohit Agarwal 25 Alpha on Currency Forwards and Futures 151 By Richard Williams Part IV New Horizon WebSim 155 26 Introduction to WebSim 157 By Jeffrey Scott 27 Alphas and WebSim Fundamentals 165 28 Understanding How WebSim Works 169 29 API Reference 179 30 Interpreting Results and Alpha Repository 187 31 Alpha Tutorials 199 32 FAQs 211 33 Suggested Reading 223 Part V - A Final Word 229 34 The Seven Habits of Highly Successful Quants 231 By Richard Hu References 235 Index 245