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#1 |
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Veteran Member [77%]
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For a regression of the form y = a + bx, you want to test whether x has any significant effect on y at all, by using a t-test (or more generally, an F test). But how about y = a + bxz? How do you differentiate the effect x has from that of z?
And a related question, if anyone is familiar with "conditional CAPM" and wants to try to convince me that it is anything more than a really sophisticated attempt by academics to troll people who don't know how to properly specify their hypothesis tests, I welcome you to try to convince me. |
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#2 |
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Veteran Member [85%]
MBTI: INTP
Join Date: Apr 2009
Posts: 3,410
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To view links or images in this forum your post count must be 2 or greater. You currently have 0 posts. In particular the "regression statistics" section. |
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#3 |
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Veteran Member [77%]
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Right thanks. That doesn't make too much sense to me, but at least I have a term to search for.
By the way, I take back what I said about conditional CAPM - it works in its original form. Just not the way we're doing it in this project I'm working on. |
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