This was a great video, very informative and helpful. I really appreciate the time you put into these lessons to teach someone like myself. I hope to see more posts from you soon!
It was indeed very much helpful sir. Thank you so much. I have a lot of questions of course, but will ask only two: 1) had I had a dataframe of 500 stocks, and wanted to get each individual stock's expected returns, would this have been the correct line for it?: diff(df[,])/lag(df[,]) If not, what would the correct line be? 2) will you please do more of this kind of tutorials for financial data in R particularly? I believe R is much stronger than Python when it comes to wrangling and analysis, which are making up the very big portion of portfolio analysis I believe. Thanks again !
This is Awesome. Just one question to understand the slope a bit more -> When we say slope is 1.17 for "F", does that mean Market Beta is 1.0 ? and 1.17 is more volatile than the market ? Can we read the number this way ?
At the end of the video you mention there is a lot more cool stuff we can do in regards to the CAPM with the data we have, can you do another video with that cool stuff?
good video, but i have one problem. When i click the data, it doesnt show up in colums like it does for you, it just lists up data, and it looks messy. What do i need to do?
This was a great video, very informative and helpful. I really appreciate the time you put into these lessons to teach someone like myself. I hope to see more posts from you soon!
Always thankful for your content... 🍀 Greetings from India.
Thanks for watching!
It was indeed very much helpful sir. Thank you so much. I have a lot of questions of course, but will ask only two:
1) had I had a dataframe of 500 stocks, and wanted to get each individual stock's expected returns, would this have been the correct line for it?:
diff(df[,])/lag(df[,])
If not, what would the correct line be?
2) will you please do more of this kind of tutorials for financial data in R particularly? I believe R is much stronger than Python when it comes to wrangling and analysis, which are making up the very big portion of portfolio analysis I believe.
Thanks again !
This is Awesome. Just one question to understand the slope a bit more -> When we say slope is 1.17 for "F", does that mean Market Beta is 1.0 ? and 1.17 is more volatile than the market ? Can we read the number this way ?
Good job man! you are a star..
I appreciate that - thanks!
At the end of the video you mention there is a lot more cool stuff we can do in regards to the CAPM with the data we have, can you do another video with that cool stuff?
That's exactly what we need :)
good video, but i have one problem. When i click the data, it doesnt show up in colums like it does for you, it just lists up data, and it looks messy. What do i need to do?
nvm i found out
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