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Ant­on Lines

Tenure Track Assistant Professor

Emner
Finansielle institution Finansiering Investering Værdipapirer Big data Maskinlæring

Primary research areas

Machine learning in finance

The application of new machine learning tools to answer longstanding questions in asset pricing and asset management.

Institutional investors

The study of trading and investment decision-making by financial institutions.

Modern problems require modern solutions

Finance and economics are among the most challenging scientific disciplines because our basic objects of study—the resource allocation decisions of human beings—are still extremely complex. Big data and machine learning offer a way to deal with this complexity, promising to usher in a new era of understanding and predictive accuracy. Using these techniques, my research aims to help investment professionals and policymakers make better decisions in a complex world.