ORIE 5230

Last Updated

  • Schedule of Classes - February 6, 2017 7:14PM EST
  • Course Catalog - February 6, 2017 7:15PM EST

ORIE 5230
Quantitative Trading Strategies

Course information provided by the 2016-2017 Catalog.

This course covers numerical techniques for quantitative trading in Finance. The main computational tool is Python. The computational techniques draw from interpolation, linear algebra, optimization, stochastic control, Monte Carlo simulation, queuing theory, finite difference methods, binomial trees, as well as statistical techniques such as regression, co-integration and principal components analysis. The applications include pricing, market microstructure, hedging and asset allocation for bonds, futures, equities and options. The focus is on theories that can be implemented in trading situations and the Interactive Brokers platform is used extensively for trading assignments.


Permission Note Enrollment limited to: financial engineering M.Eng. students in Manhattan.

When Offered Fall.

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Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  • 11597 ORIE 5230   LEC 030

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  • Instruction Mode: In Person

    Taught in NYC. Enrollment limited to: M Eng financial engineers in Manhattan, NY.