MFIN6607 · Finance
Carroll School of Management
This course aims to provide you with a solid theoretical foundation in time series techniques and their practical application in financial studies. You'll learn to analyze financial data, understand its time series characteristics (e.g., trends, seasonality, andstationarity), and forecast future data using econometric models such as Autoregressions (AR), Moving Average (MA), and ARIMA.You will gain advanced data analytics and coding skills in software R. STEM-designated
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.1 / 5
How well the course was organized
Challenge
4.1 / 5
How intellectually challenging students found it
Attendance
3.9 / 5
How necessary attendance was
Assignments
4.2 / 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 only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
1 sectionSpring 2024
1 sectionSpring 2023
1 sectionFall 2022
1 sectionSpring 2022
2 sections