The Handbook of Sentiment Analysis in Finance by Gautam Mitra

The Handbook of Sentiment Analysis in Finance by Gautam Mitra

In this handbook, our aim has been to compile a comprehensive collection of relevant research results, which cover the financial applications of sentiment classification in general, and sentiment classification in particular. This is a emerging and evolving topic area that has been impacted by (i) growth in social media, (ii) online information sources, (iii) evolution of data sciences, (iv) continued developments in machine learning and artificial intelligence and (v) maturing of financial technologies (fintech), which exploit speed of communications and computations. Whereas early applications of sentiment analysis have been in the domain of equities, the recent developments have covered other asset classes, specifically, fixed income, foreign exchange, energy products and commodities. In all these domains we have focused on three major application areas which are automated trading, fund rebalancing and risk qualification and control.

The technology of extracting financial sentiment from news feeds and other such sources continues to advanceThis volume, an update of the earlier Handbook of News Analytics in Finance, describes the current state of the art, illustrating the considerable progress over the past five years. It will provide an indispensible introduction to the area, as well as a comprehensive reference work. - Professor David J. Hand - Emeritus Professor of Mathematics, Imperial College, London - Chief Scientific Advisor, Winton Capital Management; An excellent collection of studies into how market prices respond to the flow of information in the economy. Many sources of information ranging from prominent news stories through to social media discussions are analysed for their impact on asset pricing, including the development of strategies trading the flow of information. The handbook is a fundamental addition to understanding the origins, processes and pathways of price discovery. - Prof Dillip Madan - Professor of Finance, Roert H. Smith School of Business; The effective quantification of non-standard, non-numerical data has opened up vast new avenues of investment signal research. The volume provides a cogent and valuable summary of the current research in this area. - Peter Swank, Ph.D., - Vice President, Tudor Investment Corporation

GAUTAM MITRA is founder and MD of Optirisk Systems. He is an internationally renowned research scientist in the field of Operational Research in general and computational optimisation and modelling in particular. He is an alumni of UCL and currently a visiting professor at UCL. In 2004 he was awarded the title of 'distinguished professor' by Brunel University in recognition of his contributions in the domain of computational optimisation, risk analytics and modelling. Professor Mitra is also the founder and chairman of the sister company UNICOM seminars.XIANG YU is a Business Development Techno Executive at Optirisk Systems. She has a PhD in Mathematics from Brunel University. Her research interests are in sentiment analysis and market microstructure and their application in financial analytics. In Optirisk Systems, she conducts client facing applied research, she is also in charge of all aspects of acquiring market data and news metadata.

SKU	Non disponible
ISBN 13	9781910571576
ISBN 10	1910571571
Titre	The Handbook of Sentiment Analysis in Finance
Auteur	Gautam Mitra
État	Non disponible
Type de reliure	Hardback
Éditeur	Albury Books
Année de publication	2016-03-10
Nombre de pages	616
Note de couverture	La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier.
Note	Non disponible