Lecture Notes

(Lecture Notes are an aid to study and NOT a substitute for class attendance or in-class note taking. Exam questions WILL include material not found in these notes.)

Lecture Notes #1 Introduction [PPT] [PDF]

Lecture Notes #2 Principles for Forecasting [PPT] [PDF]

Lecture Notes #3 Eviews Tutorial [PPT] [PDF]

Lecture Notes #4 Trend [PPT] [PDF]

Lecture Notes #5 Evaluating Forecasting Models REVISED [PPT] [PDF]

Lecture Notes #6 Overview of Forecasting Methods [PPT] [PDF]

Lecture Notes #7 Exponential Smoothing [PPT] [PDF]

Lecture Notes #8 Seasonality [PPT] [PDF]

Lecture Notes #9 Putting it All Together [PPT] [PDF]

Lecture Notes #10 Combining Forecasts [PPT] [PDF]

Bill Davis Guest Lecture [PPT] [PDF]

Lecture Notes #11 Practical Difficulties [PPT] [PDF]

Lecture Notes #12 Neural Networks [PPT] [PDF]

Lecture Notes #13 ARCH and GARCH [PPT] [PDF]

Copyright © 2002-2007 David G. Loomis

URL: http://www.econ.ilstu.edu//dloomis/439web/439home.htm