ECO 43000: Quantitative Finance at City College
3 credits · Spring 2027
Quantitative Finance (ECO 43000) at City College has 1 way to take it in Spring 2027. 1 of 1 section has an open seat right now.
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Requirements
PRE: ECO 32500
About this course
ECO 43000 builds upon the student?s experience using Python programming to perform statistical analysis of historical financial data to understand and evaluate investment products and trading/investing strategies in the context of empirical evidence about return patterns across assets (e.g., the factors such as value/growth, momentum, and carry that drive returns) in multiple markets/asset classes (e.g., domestic and international equities and bonds, currencies, and commodities). This course will be financial economics intensive, but the ability to develop alpha signals through applying fundamentals of statistics to analyze large datasets by programming in Python is crucial to have in a career in marketing, human resources, business operations, and economics. Course topics include developing quantitative trading strategies, foundations of machine learning and artificial intelligence, and application of data science. This course is project based, with students completing a capstone project requiring substantial Python programming to create a trading algorithm and provide statistical support for their algorithm through backtesting their algorithm against a benchmark.
ECO 43000 sections, times and seats
Seat status as of Oct 5, 7:39 AM ET. Seats can change between refreshes. How fresh is this?
Questions about ECO 43000 at City
- Who teaches ECO 43000 at City in Spring 2027?
- No instructor has been announced for ECO 43000 in Spring 2027 yet. We update the page as City College lists names.
- Is ECO 43000 at City hard?
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- What if a ECO 43000 section is full?
- Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.