Intelligent Asset Management

✍ Scribed by Frank Xing, Erik Cambria, Roy Welsch

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 163
• Series: Socio-Affective Computing 9
• Edition: 1st ed. 2019
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xxii
Introduction (Frank Xing, Erik Cambria, Roy Welsch)....Pages 1-8
Literature Review and Preliminaries (Frank Xing, Erik Cambria, Roy Welsch)....Pages 9-25
Theoretical Underpinnings on Text Mining (Frank Xing, Erik Cambria, Roy Welsch)....Pages 27-35
Computational Semantics for Asset Correlations (Frank Xing, Erik Cambria, Roy Welsch)....Pages 37-61
Sentiment Analysis for View Modeling (Frank Xing, Erik Cambria, Roy Welsch)....Pages 63-96
Storage and Update of Knowledge (Frank Xing, Erik Cambria, Roy Welsch)....Pages 97-111
Robo-Advisory (Frank Xing, Erik Cambria, Roy Welsch)....Pages 113-122
Concluding Remarks (Frank Xing, Erik Cambria, Roy Welsch)....Pages 123-127
Back Matter ....Pages 129-149

✦ Subjects

Biomedicine; Biomedicine, general; Data Mining and Knowledge Discovery; e-Business/e-Commerce; e-Commerce/e-business