Finding Alphas: A Quantitative Approach to Building Trading Strategies - Hardcover

Tulchinsky, Igor

Hardcover

ISBN 10: 1119571219 ISBN 13: 9781119571216

Verlag: Wiley, 2019

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Reseña del editor

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.

Contraportada

THE TRADING PROFESSIONAL'S GUIDE TO DESIGNING QUANTITATIVE MATHEMATICAL MODELS, THOROUGHLY UPDATED AND REVISED

WorldQuant designs and develops "alphas" – quantitative mathematical models used to make predictions regarding the prices of financial instruments. A combination of mathematical expressions, computer source code, and configuration parameters, alpha algorithms convert data into positions or trades. An alpha is at the core of a predictive trading model, cutting through the noise of the market to identify and isolate a signal.

This fully revised edition of Finding Alphas provides substantially new and updated information that reflects the ever-increasing volume and variety of available market data, advances in computer technology, and cutting-edge techniques for designing and deploying alphas. In-depth chapters – written by WorldQuant Founder, Chairman, and CEO Igor Tulchinsky, along with current and former WorldQuant researchers, portfolio managers, and technologists – provide fresh insights on a broad range of topics, including machine learning, alpha correlation, intraday trading, exchange-traded funds, event-driven trading, and much more. Finding Alphas provides you with the necessary information to explore the universe of predictive signals.

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2019
• ISBN 10: 1119571219
• ISBN 13: 9781119571216
• Einband: Tapa dura
• Sprache: Englisch
• Auflage: 2
• Anzahl der Seiten: 322