Computational Finance and Data Analysis for Financial Engineering

Lecture, three hours. Requisites: courses 41, 101, 103. Enforced corequisite: course 147L. Introduction to econometric modeling in empirical/computational finance. Focus on study of econometric models and methods to understand financial market dynamics. Review of essential concepts in probability/statistics and time-series econometrics. Investigation of some popular financial econometric models and estimation methods. Review of selected topics in finance, and how to apply econometric methods to analyze and understand empirical properties of financial market data. Analytical problem sets and data exercises to enhance theoretical understandings and practical skills. P/NP or letter grading.

Review Summary

Clarity
N/A
Organization
N/A
Time
N/A
Overall
N/A

Enrollment Progress

Dec 5, 3 PM PST
LEC 1: 125/125 seats taken (Full)
First passPriority passSecond pass1 day4 days7 days10 days13 days16 days19 days22 days25 days050100

Section List

  • LEC 1

    Open (29 seats)

    TR 3:30pm-4:45pm

    Online - Recorded

Course

Previously taught
21W

Previous Grades

Grade distributions not available.