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Predictive regressions: a machine learning perspective

Predictive regressions: a machine learning perspective

by emlyon business school | Oct 13, 2020 | Projects Quant

emlyon faculty: Dr. Guillaume Coqueret in collaborations with: Mr. Romain Deguest (independent) We characterize the quadratic loss that occurs when forecasting an autocorrelated process from its relationship with another autocorrelated process. When the predictions...
Systemic Risk and Severe Real Economy Downturns: A Sparse Meta-analysis with a COVID19 Focus

Systemic Risk and Severe Real Economy Downturns: A Sparse Meta-analysis with a COVID19 Focus

by emlyon business school | Oct 13, 2020 | Projects Quant

emlyon faculty: Pr. Bertrand Maillet in collaborations with: Dr. Michele Costola, Economics Department, Ca’ Foscari University of Venice, Italy and Pr. Massimiliano Caporin, Department of Statistical Sciences, University of Padova, Italy. After the major financial...
Characterizing issue fields on Twitter

Characterizing issue fields on Twitter

by emlyon business school | Oct 8, 2020 | Projects Quant

emlyon faculty: Dr. Clément Levallois and Dr. Jean Savinien In collaboration with: Mr. Mohamed Benabdelkrim (PhD student, emlyon & Univ Lyon 1), Pr. Cécile Robardet (Professor, Univ Lyon 1). In this project, we make a methodological contribution to the empirical...
Large Financial Networks via Conditional AutoRegressive Expected Shortfall

Large Financial Networks via Conditional AutoRegressive Expected Shortfall

by emlyon business school | Oct 8, 2020 | Projects Quant

  emlyon faculty: Pr. Bertrand Maillet  in collaborations with: Dr. Giovanni Bonaccolto, School of Economics and Law, Kore University of Enna, Italy and Pr. Massimiliano Caporin, Department of Statistical Sciences, University of Padova, Italy.    In the...
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