Financial Machine Learning

“For many decades, finance has relied on overly simplistic statistical techniques to identify patterns in data. Machine learning promises to change that by allowing researchers to use modern non-linear and highly-dimensional techniques, similar to those used in scientific fields like DNA analysis and astrophysics. At the same time, applying those machine learning algorithms to model financial problems would be dangerous. Financial problems require very distinct machine learning solutions.[...], Frank Fabozzi"

Cited As:

VW Staff

For many decades, finance has relied on overly simplistic statistical techniques to identify patterns in data. Machine learning promises to change that by allowing researchers to use modern non-linear and highly-dimensional techniques, similar to those used in scientific fields like DNA analysis and astrophysics. At the same time, applying those machine learning algorithms to model financial problems would be dangerous. Financial problems require very distinct machine learning solutions.[...], Frank Fabozzi"

Type: Press article
Date: le 16/03/2018
Research Cluster : Finance
Source : ValueWalk

See Also

Une édition 2020 réussie pour le Forum EDHEC
News
- 16-01-2020
Retour sur le forum EDHEC 2020 Plus de 1400 étudiants étaient réunis espace Champerret...
BBA Global Business track students have arrived in Singapore
News
- 14-01-2020
Our Bachelor of Business Administration students have arrived in Singapore! These BBA...
Lionel Martellini invited to join the Institutional Investors’ Committee of Paris EUROPLACE
News
- 13-01-2020
Lionel Martellini, Director of the EDHEC-Risk Institute has been invited by Valérie...
The EDHEC professor Gianpaolo Parise invited to join the CEPR
News
- 07-01-2020
Gianpaolo Parise, Associate Professor in Finance at EDHEC Business School have been...