Intelligent Asset Management
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Beschreibung
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.
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.
Covers many techniques integrated into the asset allocation models Presents deep learning and NLP solutions Includes tips on how to adapt general AI techniques to a specific application and business scenarios
Autor*in
Frank Xing
Themen in »Intelligent Asset Management«
text mining market sentiment asset allocation natural language processing computational finance