Dr. Gianluca De Nard
Professor of Practice
University
Liechtenstein
Fürst-Franz-Josef-Strasse
9490 Vaduz
Liechtenstein
gianluca.denard@uni.li
Professor of Practice
Financial Economics
The current activities of Dr. Gianluca De Nard, Practice Professor in Quantitative Capital Market Research and Systematic Investing, includes
For current information, working papers, and my CV, please visit my personal website: Website
Teaching
Advanced Investment Strategies (Course / Module / Examination)
Research
Fields of Expertise / Research Interests
Numerous publications in leading academic journals, including the Journal of Finance, Journal of Financial Econometrics, Journal of Banking and Finance, Journal of Empirical Finance, Journal of Portfolio Management, and the Financial Analysts Journal.
For an overview of publications and working papers, please visit:
Google Scholar: Website
SSRN: Website
- Teaching in MSc and executive education programs
- Supervision of Master's theses
- Research in Quantitative and Empirical Finance
- Lecturer at the University of Zurich and Hochschuhle für Wirtschaft Zürich
- Head of Quantitative Research at OLZ AG
For current information, working papers, and my CV, please visit my personal website: Website
Teaching
Advanced Investment Strategies (Course / Module / Examination)
Research
Fields of Expertise / Research Interests
- Empirical Asset Pricing and Financial Markets
- Financial Econometrics
- Machine Learning for Asset Pricing
- Asset and Risk Management
- Sustainable Finance and Climate Risk
Numerous publications in leading academic journals, including the Journal of Finance, Journal of Financial Econometrics, Journal of Banking and Finance, Journal of Empirical Finance, Journal of Portfolio Management, and the Financial Analysts Journal.
For an overview of publications and working papers, please visit:
Google Scholar: Website
SSRN: Website
2025
ESG Investing Certificate, CFA Institute
2023
Sustainability and Climate Risk (SCR) Certificate, GARP
2019
2020
Visiting PhD Scholar, New York University(Prof. Robert Engle)
2017
2021
PhD in Finance*, University of Zürich* with highest distinction ("summa cum laude"
2015
2017
MSc in Quantitative Finance*, ETH Zurich and University of Zurich* with highest distinction ("summa cum laude"
2011
2014
BA in Management and Economics*, University of Zurich* with highest distinction ("summa cum laude"
since
2025
Professor of Practice, University of Liechtenstein
since
2024
Lecturer, University of Zurich
2024
2025
Visiting Research Fellow, Copenhagen Business School (Prof. Lasse H. Pedersen)
since
2023
Senior Research Associate, University of Zurich
2023
Head of Quantitative Research, OLZ AG
2021
2023
Postdoctoral Researcher, Yale University (Prof. Bryan Kelly)
2021
2023
Senior Quantitative Research Analyst, OLZ AG
2019
2025
Research Fellow, NYU Stern Volatility and Risk Institute
2018
2020
Data Scientist, Data2Conclusion
2018
Econometrician (Intern), KOF ETHSwiss Economic Institute
2017
2023
Research Associate and Teaching Assistant,Prof. Markus Leippold, University of Zurich
2017
2021
Research Associate and Head Teaching Assistant,Prof. Michael Wolf, University of Zurich
2015
Quantitative Analyst (Intern), UBS
2013
2017
Research and Teaching Assistant, University of Zurich
2012
2014
Insurance Broker, AXA Winterthur
2010
2011
Intern, Zurich Insurance Group
2025
Engle Prize in Financial Econometrics
2025
FAN Awards Nominee
2020
2025
Nominee for the Swiss Risk Award 2020, 2021 and 2025
2018
UZH Semester Prize: Award for one of the best Master's Theses
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De Nard, G., Ledoit, O., & Wolf, M. (2025). Improved Tracking-Error Management for Active and Passive Investing. The Journal of Portfolio Management, 51(4), 40-62.More
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De Nard, G., Engle, R. F., & Kelly, B. (2024). Factor-Mimicking Portfolios for Climate Risk. Financial Analysts Journal, 80(3), 40-62.More
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Menkveld, A., Dreber, A., Holzmeister, F., Huber, J., Johannesson, M., Kirchler, M., Neusüss, S., Razen, M., Weitzel, U., Abad-Díaz, D., Abudy, M., Adrian, T., Ait-Sahalia, Y., Akmansoy, O., Alcock, J., Alexeev, V., Aloosh, A., Amato, L., Amaya, D., Angel, J., Avetikian, A., Bach, A., Baidoo, E., Bakalli, G., Bao, L., Barbon, A., Bashchenko, O., Bindra, P., Bjønnes, G., Black, J., Black, B., Bogoev, D., Correa, S., Bondarenko, O., Bos, C., Bosch-Rosa, C., Bouri, E., & et al. (2024). Nonstandard Errors. The Journal of Finance, 79(3), 40-62.More
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Beck, E., De Nard, G., & Wolf, M. (2023). Improved inference in financial factor models. International Review of Economics & Finance, 86(July).More
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De Nard, G., & Zhao, Z. (2023). Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices. Journal of Empirical Finance, 72(June).More
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De Nard, G., Engle, R. F., Ledoit, O., & Wolf, M. (2022). Large dynamic covariance matrices: Enhancements based on intraday data. Journal of Banking & Finance, 138(May).More
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De Nard, G., Hediger, S., & Leippold, M. (2022). Subsampled factor models for asset pricing: The rise of Vasa. Journal of Forecasting, 41(6), 1217-1247.More
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De Nard, G., & Zhao, Z. (2022). A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited. International Review of Econometrics & Finance, 80(July), 654-676.More
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De Nard, G., Ledoit, O., & Wolf, M. (2021). Factor Models for Portfolio Selection in Large Dimensions: The Good, the Better and the Ugly. Journal of Financial Econometrics, 19(2), 236-257.More
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De Nard, G. (2020). Oops! I Shrunk the Sample Covariance Matrix Again: Blockbuster Meets Shrinkage. Journal of Financial Econometrics, 20(4), 569-611.More