Autocorrelations vs Partial Autocorrelations (FRM Part 1, Book 2, Quantitative Analysis)

In this short video from FRM Part 1, we go deeper into the concept of Partial Autocorrelations - explore what they mean, how they're different from autocorrelations and how they're estimated. This video stretches the scope of the assigned reading a bit, to clarify the concept of partial autocorrelations. in that sense, this video is optional, and purely serves as an addendum to the FRM Exam Part I online course (www.finRGB.com....

[@silas3463]

Only video I've found that clearly explains these two concepts, thanks a lot

[@pranavsatheesan9122]

Thank you......best explanation on PACF that I have seen so far....

[@NhatTanDuong]

The idea of predicting y_t-2 by looking into the future (lag = -1) is not clear for me. Is phi_1,1 for computing y_t-2 the same as phi_1,1 for computing y_t? In other words, are these the same regression or 2 separate regressions?

[@senthilkumar1172]

superb video

[@MAHINDRACHOUDHARY-xc5uu]

Confusing

[@sonle9476]

I have been searching for RUclips whole night for this video!

[@sadenb]

This is a very confusing explanation.

[@tracyhe6657]

Thanks for the crystal clear explanation! Very helpful

[@finRGB]

Glad that it was helpful.

[@NhatTanDuong]

My other question is how is the computation of is phi_k,k? You explained what it means and how to compute it. But I feel it lacks the link between the meaning and the computation. What assumptions are made?

[@yogeshranjan9280]

thanks

[@okioking2]

thank you so much for this clear explanation!