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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.