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FINC 7201X

Statistic & Empirical Finance · 3 credits · Fall 2026

About this course

45 hours; 3 credits This course serves as an introductory exploration of statistical modeling for empirical financial analysis. It encompasses the handling of empirical datasets and the utilization of statistical techniques in the context of financial theory. Throughout the lectures, the course integrates financial applications with statistical methodologies, spanning a diverse range of topics, including regression analysis and its applications to asset pricing models, principal components, multivariate analysis, smoothing techniques, and financial time series. The course offers practical, hands-on experience in working with financial data. Prerequisite: One undergraduate course in mathematics and one undergraduate course in statistics or equivalent

Seat status as of Oct 3, 7:44 AM ET. Seats can change between refreshes.

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

EM6-LEC Regular
Mon · 6:00 PM - 8:30 PM
25 Bway 7013
Hong-Jen LinChill Rank 3 of 5: Fair?★ 3.6(62)Difficulty 2.8/5 · 63% would take again#1 chillest of 2 for this course
In PersonOpen
NET-LEC Regular
Arranged · TBA
Online-Asynchronous
Moonsoo KangChill Rank 4 of 5: Busy?★ 3.2(15)Difficulty 4.0/5 · 50% would take again#2 chillest of 2 for this course
Online AsynchronousOpen