17:45 "I appreciate you spending some of your valuable time with me." 😊The feeling is mutual. Watching your videos is helping me a lot. I appreciate all the effort you put into making it easier for your viewers to truly understand statistics (for example, instead of just showing formulas, you show how those formulas were derived, what are some of their limitations, what are some of their best applications, etc). Thank you for spending some of your valuable time making these videos. 😊
The geometric mean has come back into vogue in recent years in financial econometrics, partly because it led to completely different conclusions regarding the long run returns from property relative to bonds and/or stocks. We can debate whether it is the correct methodology for long term asset price returns, however, understanding its derivation is critical if you want to follow the debate
Sir your teaching skills are awesome, keep training us, and thank you so much for been there for the greedy students like us. Lot's of love from india. :-)
Dear Brendan, thank you very much for your great videos, I have one question, when you calculated the geometric standard deviation (at 14:53) why did you use the n rather than n-1 in the denominator?
Every kind of financial education is skipped in school simply because of conflicts of interests. Capitalism has it's price. I'm a stats lover since I found this channel. It gives me an edge in all kind of life areas and decisions making.
Brandon, do you have any recommendations for a financial econometrics course from your point of view? Would really appreciate that? Cheers and best from Barcelona.
Thanks for the video. Excellent overview. I know you were using it to directly describe rates. It is commonly used in my field to describe skewed data associated with pharmacokinetic (drug movement in the body) data. I plan to get my grad students to watch your video.
You simplify things and simplifying things is the art of a genius! I report on Human Capital data and we often use year on year headcount change, for multiple years would geometric mean be a better measure?
Hello Brandon thanks a lot! I have one question. What is the relationship between the geometric standard deviation and the geometric variance? In the conventional method, the standard deviation is the squared root of the variance. How can I calculate the variance in the geometric method ? Should I just not take the squared root of the avg. of the sum of squared deviations? Thank you.
hey Brandon, awesome VID!! To determine the lower bound of the standart deviation, am I correct to take the mean (PRICE) and divide it by (1+STDV) to have a symmetric relationship of the price moves either side? best and please more finance videos 🙏
Brandon, your videos are a life saver - thank you! But I've been staring at 1.0128 to 1.28%, and is it 1- 1.0128 and then multiplied by 100 ? If so why ? Ah! I got it now.... silly old question to begin with... :)
Does geometric mean have to be used for rates? I want to use it for taking the mean of some data involving lead concentrations among 100 subjects that is skewed when I take the arithmetic mean (due to a few high values and some low values). I'm trying to avoid throwing out data as "outliers" because I want each subject represented.
Hi .your video is very helpful. can u please provide me the reference of the book from where you have taken these formulas. I shall be very grateful to you.
![[TF2] The Russian Bear Trap](http://i.ytimg.com/vi/YFNSwz2_rOA/mqdefault.jpg)
17:45 "I appreciate you spending some of your valuable time with me." 😊The feeling is mutual. Watching your videos is helping me a lot.
I appreciate all the effort you put into making it easier for your viewers to truly understand statistics (for example, instead of just showing formulas, you show how those formulas were derived, what are some of their limitations, what are some of their best applications, etc).
Thank you for spending some of your valuable time making these videos. 😊
The geometric mean has come back into vogue in recent years in financial econometrics, partly because it led to completely different conclusions regarding the long run returns from property relative to bonds and/or stocks. We can debate whether it is the correct methodology for long term asset price returns, however, understanding its derivation is critical if you want to follow the debate
Sir your teaching skills are awesome, keep training us, and thank you so much for been there for the greedy students like us.
Lot's of love from india. :-)
Great Lecure, never heard of Gemometric Mean and Standard Deviation before..
my professor glossed over this but never really explained it, glad your video was able to fill in the gap haha
Brandon, You are master of simplifying the most complex concepts. I love this video
Dear Brendan, thank you very much for your great videos, I have one question, when you calculated the geometric standard deviation (at 14:53) why did you use the n rather than n-1 in the denominator?
Every kind of financial education is skipped in school simply because of conflicts of interests. Capitalism has it's price. I'm a stats lover since I found this channel. It gives me an edge in all kind of life areas and decisions making.
Preach! 🙏🙏🙏
Brandon, do you have any recommendations for a financial econometrics course from your point of view? Would really appreciate that? Cheers and best from Barcelona.
This video is great, now it's very easy to understand the basics and ideas of this topic.
Thanks for the video. Excellent overview. I know you were using it to directly describe rates. It is commonly used in my field to describe skewed data associated with pharmacokinetic (drug movement in the body) data. I plan to get my grad students to watch your video.
Awesome lecture. Thanks!
Thank you for this amazing lesson! 🤠
You simplify things and simplifying things is the art of a genius! I report on Human Capital data and we often use year on year headcount change, for multiple years would geometric mean be a better measure?
Hello Brandon thanks a lot! I have one question. What is the relationship between the geometric standard deviation and the geometric variance? In the conventional method, the standard deviation is the squared root of the variance. How can I calculate the variance in the geometric method ? Should I just not take the squared root of the avg. of the sum of squared deviations? Thank you.
love you sir. thanks for the awesome videos
Perfect!
hey Brandon, awesome VID!! To determine the lower bound of the standart deviation, am I correct to take the mean (PRICE) and divide it by (1+STDV) to have a symmetric relationship of the price moves either side? best and please more finance videos 🙏
Brandon, your videos are a life saver - thank you! But I've been staring at 1.0128 to 1.28%, and is it 1- 1.0128 and then multiplied by 100 ? If so why ? Ah! I got it now.... silly old question to begin with... :)
Does geometric mean have to be used for rates? I want to use it for taking the mean of some data involving lead concentrations among 100 subjects that is skewed when I take the arithmetic mean (due to a few high values and some low values). I'm trying to avoid throwing out data as "outliers" because I want each subject represented.
Why is the denominator to the Geometric SD for the sample n and not n-1?
I made the mistake before ny using the wrong way of calculating the growth factor, I understand the correct way now.
Hi .your video is very helpful. can u please provide me the reference of the book from where you have taken these formulas. I shall be very grateful to you.
Sir what if we have negative values how to handle and calculate geometric mean
On the Geometric Std dev, how did you get from 0.03274 to 1.033282 at the very end (around 15:00)? Thanks! Im working in excel if that helps...
late by a year but e^0.03274 = 1.033282. In excel, you can use the EXP function to get those result
How do you use GM in sample survey?
First!