15.496 Practice of Finance: Data Technologies for Quantitative Finance
Introduces students to financial market data and to data architecture and design, with applications to asset pricing, quantitative investment strategies, algorithmic trading, portfolio management, and risk management. Studies how data relationships are structured and how to use modern tools and technologies to manipulate, manage, and analyze large-scale financial data sets. Uses real-world data, applications, and cases to illustrate principles and provide practical experience.
15.496 will be offered this semester (Fall 2017). It is instructed by P. Mende.
Lecture occurs 4:00 PM to 6:00 PM on Tuesdays in E62-250.
This class counts for a total of 9 credits.
You can find more information at the Education – MIT Laboratory for Financial Engineering site or on the 15.496 Stellar site.
© Copyright 2015 Yasyf Mohamedali