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Gau, M., Reiners, S., Kipping, G., Tingelhoff, F., Leimeister, J. M., Tuunanen, T., & vom Brocke, J. (2024). Design Science Research Academy: Teaching Students to Solve Problems That Have Not Been Identified Yet, Using Technologies That Have Not Been Invented Yet. Presented at the 45th International Conference on Information Systems, Bangkok, Thailand.
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"Are Crowdsourcing Platforms Reliable for Video Game-related Research?" A Case Study on Amazon Mechanical Turk

Explainable Generative AI (GenXAI): a survey, conceptualization, and research agenda

Bartel, M., & Stöckl, S. (2021). Diversifying Estimation Errors with Unsupervised Machine Learning. Presented at the World Finance Conference, Virtual Conference.
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Diversifying Estimation Errors with Unsupervised Machine Learning

Bartel, M., & Stöckl, S. (2021). International Factor Momentum and Reversals. Presented at the 36th Workshop of the Austrian Working Group on Banking and Finance, Virtual Conference.
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Bartel, M., & Stöckl, S. (2020). A trip into the Clusterverse: Comparing Covariance Matrix Clustering in Portfolio Optimization. Presented at the 35th Workshop of the Austrian Woring Group on Banking and Finance, Virtual Conference.
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Rigamonti, A., Weissensteiner, A., Ferrari, D., & Paterlini, S. (2021). Smoothed Semicovariance Estimation for Portfolio Selection. Presented at the Joint Conference EWG, CFM & FI BA, Remote.
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Can Machine Learning make Technical Analysis Work?

Referenz

Rigamonti, A. (2022). Can Machine Learning make Technical Analysis Work?. Presented at the Forecasting Financial Markets, Milan.

Publication Type

Präsentation auf wissenschaftlicher Konferenz

Staff Members

Dr. Andrea Rigamonti

Participating Institutions

Lehrstuhl für Finance
Jörg, M., Layr, A., & Lettenbichler, M. (2021). Übertragung von Rechten auf VT-Systemen. In J. Sild (Ed.), Grundsatzfragen des liechtensteinischen TVTG (pp. 209-250). Wien.
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