Finding Alphas: A Quantitative Approach to Building Trading Strategies

Finding Alphas: A Quantitative Approach to Building Trading Strategies

Author
Igor Tulchinsky et al.
Publisher
Wiley
Language
English
Edition
2nd
Year
2020
Page
xviii+302
ISBN
1119571219,9781119571216
File Type
pdf
File Size
4.9 MiB

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.

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