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Liechtenstein Business School

Participating Institutions

Center für Volkswirtschaftslehre Dekanat Liechtenstein Business School Department Entrepreneurship und Management Department Finance und Economics Department Information Systems und Computer Science

Team

Employee
Niels Fetkenheuer MSc
Wissenschaftlicher Assistent / Doktorand - Technologie und Innovation
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Employee
Tobias Fitz MSc
Studiengangsmanager - Liechtenstein Undergraduate and Graduate School Projektleiter Startup Park - Liechtenstein Business School
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Employee
Prof. Dr. Marco Furtner MBA
Professor - Entrepreneurship und Leadership Studienleiter MSc EIL - Liechtenstein Business School
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Employee
Dr. Michael Gau
Senior Scientist - Dekanat Liechtenstein Business School
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Employee
Prof. Dr. Michael Hanke
Dekan - Liechtenstein Business School Professor - Finance
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Employee
Dr. Béatrice S. Hasler
Senior Scientist - Dekanat Liechtenstein Business School
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Employee
Jan Hoogland MSc
Wissenschaftlicher Assistent / Doktorand - Information Systems und Digital Innovation
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Jan Hoogland MSc
Wissenschaftlicher Assistent / Doktorand - Information Systems und Digital Innovation
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Employee
Ramon Hörler MSc
Wissenschaftlicher Mitarbeiter / Doktorand - Sustainable Finance und Investments
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Employee
MMMag. DDr. Markus Jehle
Hochschuldozent - Dekanat Liechtenstein Business School
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Bartel, M., Hanke, M., & Petric, S. (2025). FX Factor Momentum Pre- and Post-GFC. Presented at the Quantitative Methods in Finance Conference, Sydney, Australia.
Weitere
Scheuffele, M., & Martini, M. (2025, Nov 26). Skills der Zukunft: Was Job Postings über KI-Kompetenzen verraten. Institutsseminar des Fraunhofer INT.
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González, A., Stockhammer, D., & Schneider, J. (2024). Künstliche Intelligenz für den Wiederaufbau von Kulturgütern am Beispiel der Rekonstruktionsfrage von Schloss Vaduz. Forschungsmagazin 160 im Quadrat(5).
Weitere
Herrmann-Romero, M., Liegl, S., Angerer, M., & Stöckl, T. (2026). Golden eye - How traders focus on and select information in experimental asset markets. Journal of Behavioral and Experimental Finance, 49(March).
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Vladimirov, R., & Laskov, P. (2025). Challenges of Predictive Beamforming Using Geographical Positioning: Insights from the DeepSense Dataset. Paper presented at the 16th edition of the IFIP Wireless and Mobile Networking Conference (IFIP WMNC), Leuven, Belgium.
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Vladimirov, R., & Laskov, P. (2025). The Risk of Adversarial Perturbations for Deep Learning in Antenna Measurements. Paper presented at the 2025 IEEE Conference on Antenna Measurements and Applications (CAMA), Antibes Juan-les-Pins, France.
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2025). On unspanned latent risks in dynamic term structure models. Presented at the 19th International Joint Conference CFE-CMStatistics on Computational and Financial Econometrics (CFE) and Computational and Methodological Statistics (CMStatistics), London, UK.
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2022). Sequential learning and economic benefits from dynamic term structure models.
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2022). On unspanned latent risks in dynamic term structure models.
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2023). Dynamic term structure models with nonlinearities using Gaussian Processes.
Weitere
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