Term: Summer 2018 - E-term V (05/21/2018 - 07/13/2018)
Times & Locations
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The wealth of data available and the speed of information in the finance world has created a new environment for traders, wealth managers, and investment bankers. This course covers many topics related to this changing environment where technology and finance have become closer than ever before.
- High-Frequency Trading
- Algorithmic Trading Strategies
- Financial Data Sources
- Bloomberg Terminal
- Python, SAS, and Stata
- Big Data Safety and Encryption
- Financial Data Ethics
Technology Skills Taught:
Access to a Windows operating system is required for this course to run SAS and Stata. Mac users will either need to have access to a computer running Windows, use a University computer lab computer, or have a split hard drive on their Mac such as Parallels.
Contact Stephan.email@example.com for more information.