Bartram, Söhnke M.
[Verfasser:in]
;
Branke, Jürgen
[Sonstige Person, Familie und Körperschaft];
Motahari, Mehrshad
[Sonstige Person, Familie und Körperschaft]
Erschienen in:CFA Institute Research Foundation Literature Reviews, August 2020, ISBN 978-1-952927-02-7
Umfang:
1 Online-Ressource (100 p)
Sprache:
Englisch
DOI:
10.2139/ssrn.3692805
Identifikator:
Entstehung:
Anmerkungen:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 14, 2020 erstellt
Beschreibung:
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity