The Handbook of News Analytics in Finance is a landmark
publication bringing together the latest models and applications of
News Analytics for asset pricing, portfolio construction, trading
and risk control.
The content of the Hand Book is organised to provide a
rapid yet comprehensive understanding of this topic. Chapter 1 sets
out an overview of News Analytics (NA) with an explanation of the
technology and applications. The rest of the chapters are presented
in four parts. Part 1 contains an explanation of methods and models
which are used to measure and quantify news sentiment. In Part 2
the relationship between news events and discovery of abnormal
returns (the elusive alpha) is discussed in detail by the leading
researchers and industry experts. The material in this part also
covers potential application of NA to trading and fund management.
Part 3 covers the use of quantified news for the purpose of
monitoring, early diagnostics and risk control. Part 4 is entirely
industry focused; it contains insights of experts from leading
technology (content) vendors. It also contains a discussion of
technologies and finally a compact directory of content vendor and
financial analytics companies in the marketplace of NA. The
book draws equally upon the expertise of academics and
practitioners who have developed these models and is supported by
two major content vendors - RavenPack and Thomson Reuters - leading
providers of news analytics software and machine readable
news.
The book will appeal to decision makers in the banking, finance and
insurance services industry. In particular: asset managers;
quantitative fund managers; hedge fund managers; algorithmic
traders; proprietary (program) trading desks; sell-side firms;
brokerage houses; risk managers and research departments will
benefit from the unique insights into this new and pertinent area
of financial modelling.
