MFIN2260 · Finance
Carroll School of Management
The course provides an introduction to portfolio management with focus on quantitative investment process and methods. The course balances theoretical foundations with practical applications. Primary topics include asset allocation, portfolio construction including optimization, risk modeling, and risk measurement and management. Instruction will combine lectures, case discussions, and workshops, providing opportunities for students to apply quantitative methods to real world problems in several of the explored areas. The course combines investment ideas with analytics, so prior study in any or all of the following areas will make the course more enjoyable: probability/statistics (e.g., normal distributions, regression analysis), linear algebra (e.g., matrix algebra), and introductory calculus (e.g., derivatives). In addition, workshops will include use of both Microsoft Excel and Python (e.g., Jupyter Notebooks). Basic competency in each is a minimum requirement, and of course, the greater your skills, the better.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.4 / 5
How well the course was organized
Challenge
4.8 / 5
How intellectually challenging students found it
Attendance
4.6 / 5
How necessary attendance was
Assignments
4.8 / 5
How helpful assignments were
Weekly effort
~4
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect the evaluations connected to this course.
Across time
Available section-level results across semesters.
Spring 2025
2 sectionsSpring 2024
1 sectionFall 2022
1 sectionFall 2021
1 sectionFall 2020
1 section