hi david, i disagree on the your order. because you can not have correlation matrix before covariance matrix. correlation matrix is found from covariance matrix. if i'm wrong, please explain to me how did you find correlations before variance-covariance?
I agree with you, correlations are function of covariance, not vice versa. But here, it is simply a practical idea: bivariate correlations inform an n-asset covariance matrix. Where did this asset correlations come? As you say, from bivariate covariances. So, the correlations-as-inputs do come from covariances...the exercise is only meant to show the MATRIX equivalent of the bivariate COV= COR*vol*vol ...
@sergo1989 In fact the variances (D) could be derived by direct measurement upon securities and the correlation matrix (C) could be derived/implied from a factor-model, so that covariance is calculated as above frequently in practice for portfolio optimization.
Hi, when i try and apply the array formula to the matrix it doesn't work... it doesn't fill it like yours! even though i copy you step by step...
I press ctrl shift enter and brackets surround the formula but it doesn't fill the cells... any advice?
kaattiiex 1 month ago
excellent , thank you
godseeker11 4 months ago
Hello David,
Correlation is unit less. any reason to represent as %?
thanks
RDXRD 5 months ago
@RDXRD my mistake, i agree: correlation is unitless and should not really have %. thanks for spotting that!
bionicturtledotcom 5 months ago
Hello. I have a question but it's too long to post. May I send you a msg?
csmd2011 6 months ago
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very very helpful!!!
sdytfx 10 months ago
very very help!!!
sdytfx 10 months ago
If you have a matrix of variances instead of standard errors (call it matrix D), can you multiply D by C (as opposed to DCD) to get the VCM? Thanks
bvoorhees 10 months ago
What's the name of the book, that you mentioned in the video?
elenafv 1 year ago
chur, never thought of using youtube to help me study before, very usefull!
oliolion 1 year ago
David, thats was very helpful. Thank you.
coolbivek 1 year ago
Thank you, finally I got it. :-)
nevemindIceland 1 year ago
thanks for posting
kuhan1870 1 year ago
Very Very Accurate info i require
Thanks..
msmonlinesaadi 2 years ago
thanks alot, very useful material for understanding my finance exercises
windmillguy 2 years ago
Your stats and finance videos are really clear, concise, and extremely easy to understand. Thank you.
pablitos99 2 years ago
hi david, i disagree on the your order. because you can not have correlation matrix before covariance matrix. correlation matrix is found from covariance matrix. if i'm wrong, please explain to me how did you find correlations before variance-covariance?
sergo1989 2 years ago
I agree with you, correlations are function of covariance, not vice versa. But here, it is simply a practical idea: bivariate correlations inform an n-asset covariance matrix. Where did this asset correlations come? As you say, from bivariate covariances. So, the correlations-as-inputs do come from covariances...the exercise is only meant to show the MATRIX equivalent of the bivariate COV= COR*vol*vol ...
bionicturtledotcom 2 years ago
Agree, thanks
sergo1989 2 years ago
@sergo1989 In fact the variances (D) could be derived by direct measurement upon securities and the correlation matrix (C) could be derived/implied from a factor-model, so that covariance is calculated as above frequently in practice for portfolio optimization.
whirmark 6 months ago
thanks david, very cool, love your videos - huge help
geiko187 2 years ago 4
Thanks honestly, I'm gonna use this for my portfolio management classes.
Kucox 2 years ago
thanks a lot, really easy to understand. thanks and thanks again and again.
dayflynn 3 years ago
And again a very nice video... I'm giving you a big thanks in the foreword of my masterthesis on portfolio optimization!
Riverdale270 3 years ago 2