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- Author: Alexander Denev, Saeed Amen
This book is the first guide to systematically explore methodologies and processes for leveraging non-traditional sources of information (i.e., alternative data) in investment and risk management. It details the core concepts and practical methods of alternative data and is designed to help financial professionals leverage non-traditional data sources to generate excess returns (alpha), analyze markets, and predict risks. The book provides readers with a roadmap for navigating a variety of alternative data sources and provides appropriate analysis techniques. Coverage covers integrated modeling approaches for extracting value from diverse data sets and how to operationalize alternative data signals. In addition, the book contains practical case studies and real-world application techniques in financial markets, and guides readers on how to avoid potential pitfalls and how to integrate information from different data sets to maximize the value of their information. The book particularly discusses important mathematical techniques such as machine learning techniques (such as natural language processing (NLP)) and factor investing, as well as their applications in the financial field.
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