{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Session1 - Greetings Philip Wirtz [email protected] Professor of...

Info iconThis preview shows pages 1–9. Sign up to view the full content.

View Full Document Right Arrow Icon
Greetings!! Philip Wirtz [email protected] Professor of Decision Science and of Psychology The George Washington University Washington, DC 20052 (202) 994-6369 Please turn off Please turn off your cellphone. Thanks!
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Financial Modeling and Econometrics Finance 271 T S t Transparency Set Philip W. Wirtz, Ph.D. The George Washington University Copyright © 2011 Philip W. Wirtz All rights reserved
Background image of page 2
Finance 271 Session 1 Financial Modeling and Econometrics Philip W. Wirtz, Ph.D. The George Washington University
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
4 Before We Get Started, A Bit of Administrivia (Part 1) Everything you ever wanted to know (and more) about the course is available on Blackboard http://blackboard gwu edu The grading algorithm is presented in Blackboard, http://blackboard.gwu.edu . The grading algorithm is presented in the Syllabus section.
Background image of page 4
5 Before We Get Started, A Bit of Administrivia (Part 1) Everything you ever wanted to know (and more) about the course is available on Blackboard http://blackboard gwu edu The grading algorithm is presented in Blackboard, http://blackboard.gwu.edu . The grading algorithm is presented in the Syllabus section. The course focuses on basic tools used in the statistical modeling of financial and econometric phenomena and the estimation of the models' parameters.
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
6 Before We Get Started, A Bit of Administrivia (Part 1) Everything you ever wanted to know (and more) about the course is available on Blackboard http://blackboard gwu edu The grading algorithm is presented in Blackboard, http://blackboard.gwu.edu . The grading algorithm is presented in the Syllabus section. The course focuses on basic tools used in the statistical modeling of financial and econometric phenomena and the estimation of the models' parameters. I will be conducting the first 7 class sessions; Professor Soyer will be conducting the second 7 sessions. What follows pertains to the first half of the course.
Background image of page 6
7 Before We Get Started, A Bit of Administrivia (Part 1) Everything you ever wanted to know (and more) about the course is available on Blackboard http://blackboard gwu edu The grading algorithm is presented in Blackboard, http://blackboard.gwu.edu . The grading algorithm is presented in the Syllabus section. The course focuses on basic tools used in the statistical modeling of financial and econometric phenomena and the estimation of the models' parameters. I will be conducting the first 7 class sessions; Professor Soyer will be conducting the second 7 sessions. What follows pertains to the first half of the course. We will be actively using clickers. Part of your course grade will be based on your clicker participation. Clickers are distributed 15 minutes prior to the beginning of the class. Please don’t be late for this distribution: your course grade will suffer if you are.
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
8 Before We Get Started, A Bit of Administrivia (Part 1) Everything you ever wanted to know (and more) about the course is available on Blackboard http://blackboard gwu edu The grading algorithm is presented in Blackboard, http://blackboard.gwu.edu .
Background image of page 8
Image of page 9
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}