Description
| Product ID: | 9781119571216 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Finding Alphas |
| Subtitle: | A Quantitative Approach to Building Trading Strategies |
| Authors: | Author: Igor Tulchinsky |
| Page Count: | 320 |
| Subjects: | Investment and securities, Investment & securities |
| Description: | Select Guide Rating 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. |
| Imprint Name: | John Wiley & Sons Inc |
| Publisher Name: | John Wiley & Sons Inc |
| Country of Publication: | GB |
| Publishing Date: | 2019-09-27 |
