Finding Alphas: A Quantitative Approach to Building Trading Strategies

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Discover the ins and outs of designing predictive trading models

Drawing on the expertise of WorldQuant's global network, this new edition ofFinding Alphas: A Quantitative Approach to Building Trading Strategiescontains 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.

Author(s): Igor Tulchinsky et al.
Edition: 2nd
Publisher: Wiley
Year: 2020

Language: English
Pages: xviii+302