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How Can Artificial Intelligence Transform Asset Management?

  • Philipp Immenkötter EMAIL logo
Veröffentlicht/Copyright: 6. September 2024

Abstract

This article examines the transformative potential of artificial intelligence (AI) in asset management, highlighting how AI can enhance research, decision-making, communication, and trading processes. AI, particularly through machine learning (ML) and generative models, can significantly reduce analysts’ time on data collection and analysis, offer standardized recommendations, and improve communication efficiency. However, risks include potential biases and a lack of transparency in AI-driven decisions.

JEL Classification: G10

Corresponding author: Philipp Immenkötter, Flossbach von Storch Research Institute, Cologne, Germany, E-mail:

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Received: 2024-08-07
Accepted: 2024-08-07
Published Online: 2024-09-06

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 5.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ev-2024-0055/html?srsltid=AfmBOoq47gnyn4rlCzza6ycpAeHOXds-WVR38N1MH8LOtl-koudJyeFs
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