‘‘The world runs on information and few areas as directly so as in finance. Now that
technology and quantitative techniques have caught up to the live news feed, this volume
will be an indispensible addition to the practitioner’s library.’’
Matthew Lee, Head of Research Global Index Equity, BlackRock
‘‘News sentiment is a largely new and unexplored class of data for use in quantitative
automated trading. This is a very thorough exploration of what we expect to be a critical
element of quantitative trading in the coming years. This book is filled with information and
insights that will be of great value to both professional quants and academic researchers.’’
Steve Bright, Ph.D., Vice President of Quantitative Research, Hyde Park Global
Investments LLC
‘‘Quantitative equity portfolio management’s continual evolution relies upon the discovery
and exploitation of stock price anomalies based on significant systematic investor mis-
perceptions. A vital, and relatively recent, aspect of this process involves exploring the
efficacy of non-quantitative information sources, a task for which this book is a particularly
important contribution. This volume serves as a very useful introduction to a timely and
fascinating area of investment research.’’
Peter Swank, Ph.D., Tudor Investment Corporation
‘‘During the 200 milliseconds a human is reading the latest news headline, a trading bot will
have downloaded the entire article, analyzed its meaning, and traded based on the content.
This is our world now, and this excellent book is the first to reveal the software, statistics,
and strategies driving advances in quantitative news trading.’’
Richard L. Peterson, M.D., MarketPsy Capital LLC and MarketPsych Data