Finding Alphas: A Quantitative Approach to Building Trading Strategies

by Igor Tulchinsky (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.

Genres: Finance

320 pages, Hardcover

First published August 28, 2015

Reviews

[Max Bolingbroke · Rating 2 out of 5]

Two books in one.

The first is a shallow overview of some potential alphas that doesn’t go much beyond a few sentences of description and motivation for each. You could get a better understanding of this topic by just spending half a day on SSRN.

The second book is a tutorial and FAQ for their WebSim backtesting platform. This seems to be squarely aimed at potential users such as university students, and was mostly interesting for me to the extent that it revealed how unsophisticated WebSim is.

[Juan Pablo · Rating 5 out of 5]

Working for worldquant, the company of the author of this book revolutionaze the way I saw the stock market. This book has good material for algorithmic trading. The downside is that you have to connect the dots and most of the book must be implemented in their platform.

[Anthony Fiedler · Rating 4 out of 5]

Felt like an interesting split for people familiar with investing but not familiar with alpha generation. Papers and a tease into how structured and foundational alpha generation has to be when you start thinking of scale. Valuable for those getting into the mix.

[Kevin Peng · Rating 5 out of 5]

good broad collection of quant subjects

Not too deep and understandable. Written by portfolio manager who don't B's. They give me insight even though not alpha they are using.

[Vasile-Simion Sularea · Rating 3 out of 5]

Good overall intro into how you could approach this issue. The latter half of the book is just a manual for a proprietary tool

[Diniar]

I want to start reading this book

[Hongliang Ma · Rating 4 out of 5]

good introductory book for alpha researchers