Details about Gianluca Fabio De Nard
Access statistics for papers by Gianluca Fabio De Nard.
Last updated 2025-10-13. Update your information in the RePEc Author Service.
Short-id: pde1427
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Working Papers
2025
- AI shrinkage: a data-driven approach for risk-optimized portfolios
ECON - Working Papers, Department of Economics - University of Zurich
- Low risk, high variability: practical guide for portfolio construction
ECON - Working Papers, Department of Economics - University of Zurich
2024
- Factor mimicking portfolios for climate risk
ECON - Working Papers, Department of Economics - University of Zurich View citations (4)
See also Journal Article Factor-Mimicking Portfolios for Climate Risk, Financial Analysts Journal, Taylor & Francis Journals (2024) View citations (3) (2024)
2023
- Improved inference in financial factor models
ECON - Working Papers, Department of Economics - University of Zurich View citations (1)
See also Journal Article Improved inference in financial factor models, International Review of Economics & Finance, Elsevier (2023) View citations (1) (2023)
2022
- Large dynamic covariance matrices: enhancements based on intraday data
ECON - Working Papers, Department of Economics - University of Zurich View citations (2)
See also Journal Article Large dynamic covariance matrices: Enhancements based on intraday data, Journal of Banking & Finance, Elsevier (2022) View citations (13) (2022)
2018
- Factor models for portfolio selection in large dimensions: the good, the better and the ugly
ECON - Working Papers, Department of Economics - University of Zurich View citations (6)
See also Journal Article Factor Models for Portfolio Selection in Large Dimensions: The Good, the Better and the Ugly, Journal of Financial Econometrics, Oxford University Press (2021) View citations (35) (2021)
Journal Articles
2024
- Factor-Mimicking Portfolios for Climate Risk
Financial Analysts Journal, 2024, 80, (3), 37-58 View citations (3)
See also Working Paper Factor mimicking portfolios for climate risk, ECON - Working Papers (2024) View citations (4) (2024)
2023
- Improved inference in financial factor models
International Review of Economics & Finance, 2023, 86, (C), 364-379 View citations (1)
See also Working Paper Improved inference in financial factor models, ECON - Working Papers (2023) View citations (1) (2023)
- Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices
Journal of Empirical Finance, 2023, 72, (C), 23-35 View citations (2)
2022
- A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited
International Review of Economics & Finance, 2022, 80, (C), 654-676
- Large dynamic covariance matrices: Enhancements based on intraday data
Journal of Banking & Finance, 2022, 138, (C) View citations (13)
See also Working Paper Large dynamic covariance matrices: enhancements based on intraday data, ECON - Working Papers (2022) View citations (2) (2022)
- Oops! I Shrunk the Sample Covariance Matrix Again: Blockbuster Meets Shrinkage
(Eigenvalue Ratio Test for the Number of Factors)
Journal of Financial Econometrics, 2022, 20, (4), 569-611 View citations (4)
- Subsampled factor models for asset pricing: The rise of Vasa
Journal of Forecasting, 2022, 41, (6), 1217-1247 View citations (1)
2021
- Factor Models for Portfolio Selection in Large Dimensions: The Good, the Better and the Ugly
(Using Principal Component Analysis to Estimate a High Dimensional Factor Model with High-frequency Data)
Journal of Financial Econometrics, 2021, 19, (2), 236-257 View citations (35)
See also Working Paper Factor models for portfolio selection in large dimensions: the good, the better and the ugly, ECON - Working Papers (2018) View citations (6) (2018)
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