MGMTPHD 201C
Time-Series Analysis
Management-PhD · 4 units · Graduate courses (200-299)
Designed for PhD students. Introduction to time-series methods in analysis of business data. Basics of time series, optimal prediction, multiple equation time-series models, generalized method-of-moments, volatility modeling and nonnormalities, dynamic factor models.
S/U or letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Recommended requisite: course 201B.
BruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
MGMTPHD 201C
- MGMTPHD 201BTheory and Application of Regression Analysis
- MGMTPHD 201AProbability, Statistics, and Computational Methods for Econometrics
1 direct requisite. The whole upstream is here — 2 courses over 2 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.