Gianluca De Nard
University of Zurich
Department of Economics
NYU Stern School of Business
44 West 4th Street
I am a Senior Research Associate at the Department of Economics at the University of Zurich as well as a Research Fellow at the NYU Stern Volatility and Risk Institute. Previously, I have been working as a Postdoctoral Research at Yale University. My primary research interests are Financial Econometrics and Machine Learning with applications in Empirical Asset Pricing and Climate Risk. In New York and Yale I am working together with Nobel laureate Robert F. Engle and Bryan Kelly. More specifically, we publish in real time latest research and international financial market data on volatility, correlations, systemic and climate risk: https://vlab.stern.nyu.edu
I have several publications (8) and promising working papers on (i) more powerful tests for cross-sectional anomalies; (ii) new machine learning methods for stock return prediction; (iii) a double-shrinkage estimator for taming the factor zoo; and (iv) improved inference methods for financial factor models, all with applications in Finance and Economics.
At NYU and Yale I am currently working on a new machine learning paradigm for climate finance applications and empirical asset pricing. For example, I have two ongoing projects together with Robert F. Engle and Bryan Kelly on how to hedge climate risk, by building a climate change index based on textual analysis of news papers and derive a suitable mimicking or hedging portfolio. Additionally, we are working on big data and shrinkage methods to improve asset pricing models. For example, I work on two promising working papers, together with Bryan Kelly and Markus Leippold, that try to use clusters or subsamples of large data sets to predict asset returns and estimate higher moments. Finally, I was invited to work on the international Finance Crowd Analysis Project where we published our findings in the Journal of Finance.
For more information about research, teaching and consulting please take a closer look at my webpage or use the contact form.