The Handbook of News Analytics in Finance (The Wiley Finance Series)
Language: English
Published by Wiley, 2011
- Hardcover
- Used
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The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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- Title
- The Handbook of News Analytics in Finance (The Wiley Finance Series)
- Publisher
- Wiley
- Publication year
- 2011
- Condition
- Very Good
- Binding
- Hardback
- Language
- English
- ISBN 10
- 047066679X
- ISBN 13
- 9780470666791
- Item weight
- 798 grams
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.
"Synopsis" may belong to another edition of this title.
About the Author
Leela Mitra (London, UK) is a Quantitative Analyst at OptiRisk Systems. Dr Mitra joined OptiRisk System as a Quantitative Analyst in 2004. She received her PhD in Operational Research on the topic of "Scenario generation for asset allocation models" from CARISMA, Brunel University. Topics included "mixed" scenario sets for investment decisions with downside risk, pricing and evaluating a bond portfolio using a regime switching Markov model and desirable properties for scenario generation. She has a first class BA (Joint Honours) degree in Mathematics and Philosophy from King's College (University of London). Prior to joining OptiRisk, Leela worked in the pensions industry as an actuarial consultant for Mercer HR and subsequently with Jardine Lloyd Thomson. She is part qualified as an actuary.
"About the title" may belong to another edition of this title.
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