Fama-MacBeth regression explained: calculating risk premia (Excel)
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- Опубликовано: 5 мар 2022
- Fama and MacBeth (1973) regression is a key concept and an important econometric technique that lays in the foundation of modern empirical finance and asset pricing. Today we are discussing the idea behind the Fama-MacBeth regression, the issues it seeks to address, and applying it to real-world data from S&P 500 to calculate the market risk premium.
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Took me 7 repeats and some extra studying but i managed to understand this finally. Thanks man
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Thanks Sava for sharing this much needed video. You did a great job.
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Hey man great!!!!! Thank you for posting this video!
Thanks for the great illustration in excel.
Я столько искал такое объяснение, наконец-то кто-то сделал нормальное видео где все понятно! Спасибо!!!
Thanks for this video, it helped a lot with my research!
Thanks very much for your video, which really really really helps me a lot.🤩
Glad you liked the video! Stay tuned for more content on financial econometrics or feel free to check the playlist :)
If we have two covariance matrices, one sample covariance and one from a factor model. Assuming that factor covariance matrix can miss that two assets in your portfolio are highly correlated (Exxon and BP) and thus give us bogus weights. How do we take a combination of both (maybe a Bayesian update, average etc) to keep the advantages of both?
s/o from South Africa
Hello, thank you so much sir. Can you please make a video on the estimation of a LCAPM model using Fama Macbeth regression.
Thank you so much.
Thank you for this amazing video. I have a question! What data do I need to applicate this model ? Do I only need the stock returns? or i need the market capitalization and all other variable !!
Thank you it is a very informative video. May I ask you how you prefer to deal with multi beta pricing model testing bet Fama MAcBeth procedure? Dou you estimate each factor betas individually bey cov/var (or slope) formula or dou you get all factor betas at ance as a result of one multivariable regression estimation (where asset return is dependend and factor returns are independend variables in one regression model)? Thank you.
Hello, I think you estimate all betas at once using the multifactor model on the right-hand side of your regression.
Can you please create a video on Ornstein Uhlenbeck Process?
Can you please cover fama french three factor model using regression? All the videos just use plain regression whereas we have t terms in the regression. so shouldn't we use panel regression?
Hi Neeraj, and thanks for the suggestion! Definitely planning to tackle multi-factor models very soon.
@@NEDLeducation Looking forward to it. Cheers
This is so amazing Sir, Can you give the coding for the same in Python and R, that would be so awesome.
Hi Mandar, and thanks for the suggestion! I do implement Python tutorials (not quite as often as Excel though), generally when the calculations are too complicated or cumbersome to do them in Excel.
@@NEDLeducation Could you please share the coding of the Fama-macbeth procedure in R? Amazing video by the way
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