Author Description

<p>Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories of Alternative Data, Alternative Data providers, and more. The book also offers a rigorous and detailed exploration of process, application and delivery that should be practically useful to researchers and practitioners alike. </p><p>Features </p><ul> <p> </p> <li>Includes cutting edge applications in machine learning, fintech, and more </li> <li>Suitable for professional quantitative analysts, and as a resource for postgraduates and researchers in financial mathematics</li> <li>Features chapters from many leading researchers and practitioners</li> </ul>