ORIE 5280

ORIE 5280

Course information provided by the Courses of Study 2017-2018.

The course covers practical applications of data science to finance. The topics include:financial data management (sampling, labeling, weighting, fractional differentiation), modelling (ensemble methods, cross-validating (CV) in finance, feature importance, hyper-parameter tuning, backtesting (bet sizing, historical backtests, synthetic data, strategy risk),  ML-based asset allocation, financial features (structural breaks, entropy features, microstructural features),  how to design, develop and implement quantitative investment strategies, alpha models: momentum, value and quality factors, backtesting, risk models and mean-variance optimization, transaction costs modeling, market impact estimation, trade execution.

When Offered Spring.

Permission Note Enrollment limited to: ORIE MEng Financial Engineering students in New York City.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 12256 ORIE 5280   LEC 001

  • Taught in NYC. Classes are restricted to MEng FE students in New York or by the permission of the instructor. For more information email Victoria Averbukh at vza1@cornell.edu.