<p><strong><em>Handbook of Alternative Data in Finance Volume I</em></strong> 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>
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