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Intelligent Asset Management - 2019 ed.

By: (Author) Erik Cambria , (Author) Frank Xing , (Author) Roy Welsch

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Ksh 16,200.00

Format: Paperback / Softback

ISBN-10: 3030302652

ISBN-13: 9783030302658

Edition: 2019 ed.

Series: Socio-Affective Computing

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 26th, 2020

Print length: 149 Pages

Product Classification: Investment & securities
E-commerce: business aspects
Business applications
Data mining
Artificial intelligence

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This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas. In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures. This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.

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