MGMTPHD 201C

Time-Series Analysis

Description: Lecture, three hours. Recommended requisite: course 201B. 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.

Units: 4.0
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Lars Lochstoer

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