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Machine Learning in Asset Pricing

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  • 160 Seiten
  • 6 Lesestunden

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This authoritative introduction explores the application of machine learning techniques to asset pricing in financial markets. It addresses the challenges investors face due to the overwhelming amount of potentially valuable information from diverse sources. By leveraging advanced machine learning methods, the book provides insights on navigating data-rich environments, enhancing decision-making processes, and improving investment strategies.

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Machine Learning in Asset Pricing, Stefan Nagel

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Erscheinungsdatum
2021
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(Hardcover)
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