TAILIEUCHUNG - The Handbook of News Analytics in Finance

The purpose of a preface in our view is rather unashamedly to sell the book—to communicate the message of the book succinctly and either to motivate the reader to explore its content or to leave the reader feeling that just maybe he or she is losing out if the book’s theme does not fire their imagination. So, by ignoring this book you will never know whether you might have seen the light and gleaned the winning strategies of financial analytics! The subheadings in this preface are deliberately linked to coax you to send an email to your quant team instructing them to pick up this handbook. | analytics in finance I A 1 II Edited by GAUTAM MITRA LEELA MITRA This is a timely and exciting book. The technology of extracting financial sentiment from news feeds and other such sources is one that has been slowly growing supported by the accelerating infrastructure provided by the world wide web. Over the past ten years or so papers have been appearing showing that useful information can be extracted in this way. Moreover one can legitimately expect the rate of progress to gather pace as other supporting web technologies continue to develop. This book is the first to provide a comprehensive overview of the state of the art. It will attract a lot of attention. From a technical perspective the area presents some deep and interesting challenges which are nicely captured here. One is the central issue of fusing entirely different kinds of information from quite distinct sources and with very different degrees of reliability. Another is an issue which mining of large observational data sets has to contend with whatever its area of application namely the problem of selection bias it is all too easy to extract a distorted non-representative data set so that any analyses based on it are at risk of mistaken conclusions. Overall this technology is still in its infancy but the papers presented in this volume provide a perfect launch pad for the future of news analytics in finance. Just as social statistics enables us both to define and measure the aggregate phenomena that define society so the work described in this volume will enable us to discern and quantify the forces which steer financial markets. Professor David J. Hand Professor of Statistics Imperial College London Chief Scientific Advisor Winton Capital Management and President Royal Statistical Society This cutting edge collection of writings offers important insights into the connection between news analytics and sentiment that are rich deep and systematic. Investors and academics alike have much to learn from

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• news analytics in finance
• Data sources
• Pre analysis of news data
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