STAT 373 Regression and Forecasting Methods in Finance
Statistics (2009-2010)

Application of regression and time series models in finance; multiple regression; algebraic and geometric representation of least squares; inference methods - confidence intervals and hypothesis tests, ANOVA, prediction; model building and assessment; time series modeling; autoregressive AR(1) models - fitting, assessment and prediction; moving average smoothing, seasonal adjustment; non-stationarity and differencing. [Offered: F]
Prerequisites: STAT 231 or 241; Computing & Financial Management students and Mathematics/Accounting students who began F06 or later.
Antirequisites: STAT 331, 361, 371, 372, 443

Sections For Fall 2009

Lectures
ProfessorTimeCapacitySecAssocLocationCode
Balka, Peter 11:30-12:50 M T W Th F 77/90 1 1 OPT 401 5410
Tutorials
ProfessorTimeCapacitySecAssocLocationCode
TBA 05:30-06:20 M T W Th F 77/90 101 1 DWE 2527 5411

Sections For Spring 2009

STAT 373 is not held in Spring 2009

Professors That Have Taught STAT 373