Finding Alphas
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Check link for latest rating. ( 91 ratings, 9 reviews)This updated edition features nine new chapters covering essential topics such as alpha correlation, bias control, exchange-traded funds, event-driven investing, and machine learning applications in finance.
Organised clearly and packed with new examples, formulas, and academic references, the book serves as a practical guide for constructing quantitative trading strategies.
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Finding Alphas
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Previous edition entered under: Igor Tulchinsky
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.
- 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.
Book Details
INFORMATION
ISBN: 9781119571216
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 27 September 2019
Country: United States
Imprint: John Wiley & Sons Inc
Edition: 2nd edition
Contributors:
- Edited by Igor Tulchinsky
Audience: Professional and scholarly
DIMENSIONS
Spine width: 23.0mm
Width: 158.0mm
Height: 231.0mm
Weight: 590g
Pages: 320
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About the Author
IGOR TULCHINSKY is the Founder, Chairman, and CEO of WorldQuant, a global quantitative asset management firm, based in Old Greenwich, Connecticut, that he established in 2007 following 12 years as a statistical arbitrage portfolio manager at Millennium Management. Before joining Millennium, Tulchinsky was a venture capitalist, scientist at AT&T Bell Laboratories, video game programmer, and author. He holds a master’s degree in Computer Science from the University of Texas, Austin, completed in a then-record nine months, and an MBA in Finance and Entrepreneurship from the Wharton School at the University of Pennsylvania. A strong believer in education, Tulchinsky is the founder of WorldQuant University, which offers an entirely free online MSc degree in financial engineering and an applied data science module.
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