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Heteroscedasticity - Detection 

Pat Obi
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This video presentation shows how to detect the problem of heteroskedasticity (also written as heteroscedasticity).
Note: The Goldfeldt-Quant test (discussed here) is most appropriate if we believe the variance of the error term increases or decreases consistently as Y-hat (or X increases). A more robust test for heteroscedasticity is Breusch-Pagan test (not discussed here).

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20 сен 2024

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Комментарии : 12   
@scorpion7434
@scorpion7434 6 лет назад
You are literally underrated !! You are amazing!! I've been searching days for something similar! Thanks a million !
@PatObi
@PatObi 3 года назад
Thank you so much.
@sumbomarcus
@sumbomarcus 6 лет назад
I love your lectures
@kianfayazbakhsh1862
@kianfayazbakhsh1862 3 года назад
Thank you for the video. I have watched the video, but I still, have some questions. 1) Why did you calculate the residuals while you didn't apply it in the regression (you just used X and Y). 2) how can we figure out our X (independent) and Y (dependent)? for example I am working on the data of 15 companies stock (their monthly returns and beta). Can I take Betas as X and monthly returns as the Y and then do the regression? Thanks in advance,
@PatObi
@PatObi 3 года назад
Thanks Kian, for your question and sorry for my delayed response. Residuals are not part of this regression inquiry. In this example, they only serve the purpose of helping us determine if we have the problem of heteroscedasticity. To your other question, in any regression study, you, the researcher, should begin by identifying your Y variable because that is the subject of your investigation. According to the CAPM, stock return (Y) is a function of risk, measured by beta (X). Hope this helps :-)
@shot040
@shot040 6 лет назад
thx again
@george-lucianlacatus1320
@george-lucianlacatus1320 3 года назад
How do you do when the values of Y are negative because you can't use the log model for remedial measures.? Thanks
@PatObi
@PatObi 3 года назад
No you can't do log, unless you transform all your data somehow to force them all to be positive.
@iamsrk2996
@iamsrk2996 3 года назад
Could explain here about the Durbin-watson test?
@PatObi
@PatObi 3 года назад
DW test is for serial correlation. I'm not sure it can be use for heteroscedasticity, unless there's a variation of it.
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