Artificial Intelligence and Machine Learning in Investment Strategies

Course Code
FIN 427
Hours
3 hours
Type
Elective
Offered
  • Winter 22
Prerequisites
(FIN 300 or 302) and (BBA Junior or Senior)

Artificial Intelligence and Machine Learning in Investment Strategies --- This course covers quantitative approaches to using firm information to develop profitable trading strategies. Students will use tools such as FactSet and coding in Python or other languages to investigate, validate, and verify out-of-sample performance of investment strategies. Strategies implemented will include simple naive implementations, as well as data-driven machine learning approaches involving regression, random forests, and neural networks. The strategies will be invested using real funds into the Maize and Blue Machine Learning Fund.