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Intelligent Asset ManagementIntroduction

Intelligent Asset Management: Introduction [This introductory chapter revisits the historical progress of financial news analyticsNews analytics. In particular, the chapter emphasizes the importance and necessity of having asset allocation models for automatic asset management, superseding the first wave of predicting individual asset prices. We explain the development stages of natural language-based financial forecastingNatural language based financial forecasting and summarize the scientific contributions of this book. Our extension brings new features to the current asset allocation models, such as transparency, flexibility, and robustness. The organization of chapters is provided as a roadmap at the end.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Intelligent Asset ManagementIntroduction

Part of the Socio-Affective Computing Book Series (volume 9)
Xing, Frank; Cambria, Erik; Welsch, Roy
Intelligent Asset Management — Nov 14, 2019
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7 pages

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2019
ISBN
978-3-030-30262-7
Pages
1 –8
DOI
10.1007/978-3-030-30263-4_1
Publisher site
See Chapter on Publisher Site

Abstract

[This introductory chapter revisits the historical progress of financial news analyticsNews analytics. In particular, the chapter emphasizes the importance and necessity of having asset allocation models for automatic asset management, superseding the first wave of predicting individual asset prices. We explain the development stages of natural language-based financial forecastingNatural language based financial forecasting and summarize the scientific contributions of this book. Our extension brings new features to the current asset allocation models, such as transparency, flexibility, and robustness. The organization of chapters is provided as a roadmap at the end.]

Published: Nov 14, 2019

Keywords: Artificial intelligence; Natural language based financial forecasting; Fin-tech; Asset management; Sentiment analysis

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