I hope you can attend Saturday’s Early Bird webinar (we currently have 67 registrants).

• Here is the registration link. As usual, time is Saturday 9 AM EST US (what time is that for me?)
• Here is a preview (PDF) copy of the agenda
• You can see below an equivalent slideboom version.

My goal is to introduce linear regression. As a set, #4 and #5 should set you up to digest the detail in Gujarati. As with statistical inference, I am going to cut right to the chase. Here is the flow, for those who like to prepare ahead:

• Recap the essential idea of statistical inference (i.e., infer the population mean from the sample mean) using Gujarati problem 5.14 (page 129, Essentials of Econometrics, 3rd Edition) as a working example.
• Hull's Example 3.3 (p 57) on hedging jet fuel with futures. We'll back into regression with a hedging example in Hull (this is my typical modus operendi: to use other assignments to connect ideas). Key building block: beta is the slope of the regression line and is the same as the hedge ratio! I hope you get a chance to study the formula on 11/12 that relates beta to the hedge ratio. I promise it will come in handy…
• Introduce regression using Table 6-4 (page 149). Looks tedious. We care mostly about the final three columns.
• Work problem 7.8 (page 203)

Slideboom:

Comments

1. tanya 22 Jul 2010

   is there a link to this webinar?

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