Skew & Kurtosis
Sign in to YouTube
Sign in with your Google Account (YouTube, Google+, Gmail, Orkut, Picasa, or Chrome) to like bionicturtledotcom's video.
Sign in to YouTube
Sign in with your Google Account (YouTube, Google+, Gmail, Orkut, Picasa, or Chrome) to dislike bionicturtledotcom's video.
Sign in to YouTube
Sign in with your Google Account (YouTube, Google+, Gmail, Orkut, Picasa, or Chrome) to add bionicturtledotcom's video to your playlist.
Uploaded on Mar 31, 2008
I illustrate how to manually calculate skew and kurtosis with Google's daily price data from 2007. The point is the variance, skew and kurtosis are each related MOMENTS of the distribution. A normal distribution has skew = 0 and kurtosis = 3
https://www.dropbox.com/s/zg2x5ukywjt...
-
Category
-
License
Standard YouTube License
Loading...
Loading...
Loading...
The interactive transcript could not be loaded.
Loading...
Loading...
Ratings have been disabled for this video.
Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Loading...
Advertisement
-
8:45
Distribution momentsby bionicturtle.com - expert finance and riskFeatured
17,059
-
7:51
GARCH(1,1) to estimate volatilityby bionicturtledotcom
59,957 views
-
5:55
Three approaches to value at risk (VaR)by bionicturtledotcom
58,617 views
-
9:40
Intro to Quant Finance: Periodic Rate of Returnby bionicturtledotcom
25,431 views
-
8:43
Skew and Kurtosisby Jason Shohet
569 views
-
Skewness
246 videos1
-
7:47
Contango & backwardation in commodity forward marketsby bionicturtledotcom
31,412 views
-
8:56
Exponentially weighted moving average (EWMA)by bionicturtle.com - expert finance and risk
37,168 views
-
6:17
Why we use log returns in financeby bionicturtle.com - expert finance and risk
28,950 views
-
9:11
Historical simulation, value at risk (VaR)by bionicturtledotcom
36,670 views
-
9:48
Intro to Quant Finance: Value at Risk (VaR)by bionicturtledotcom
91,006 views
-
9:54
Intro to logarithmsby bionicturtledotcom
74,704 views
-
10:44
Intro to Quant Finance: Volatilityby bionicturtledotcom
29,723 views
-
9:53
Correlation & Covarianceby bionicturtledotcom
137,875 views
-
8:34
Extreme Value Theory (EVT) - Introby bionicturtledotcom
17,958 views
-
9:58
Terms about distributions: PDF, PMF and CDFby bionicturtledotcom
24,741 views
-
8:32
Student's t distributionby bionicturtledotcom
59,015 views
-
9:20
Normal probability distributionby bionicturtledotcom
136,636 views
-
9:19
Basis risk is the mother of all derivatives riskby bionicturtledotcom
33,939 views
-
7:05
Implied volatilityby bionicturtledotcom
35,704 views
-
9:50
Chi-square test of population varianceby bionicturtledotcom
50,994 views
- Loading more suggestions...
Uploader Comments (bionicturtledotcom)
wazzupfrenzy 1 year ago
the distribution is actually positively skewed
Sign in to YouTube
Sign in to YouTube
bionicturtledotcom 1 year ago
Um, no. It's negative. I added link to the XLS. the skew is NEGATIVE 0.43 (-0.43)
Sign in to YouTube
Sign in to YouTube
Top Comments
bionicturtledotcom 1 year ago
i don't attach any weight to psychos who wish me harm. Bug off.
Sign in to YouTube
Sign in to YouTube
bionicturtledotcom 1 year ago
Thanks but I already inferred that you wanted an extra 30 seconds of (free) video from the statement "I hope something really bad happens to you" (what other conclusion could I draw?). If that's your constructive criticism, what's your destructive criticism? Fiery deathball? In all seriousness, the only thing your comment does is make laugh and contemplate the drawback of youtube: they'll let anybody in, absolutely anybody with a keyboard. But i am sure you are really tough in person :)
Sign in to YouTube
Sign in to YouTube
All Comments (41)
intrikatkat 1 month ago
thank you for explaining that. It was really helpful... studying via correspondence means useless textbooks that don't make sense without a demonstration
Sign in to YouTube
Sign in to YouTube
tooshlong 4 months ago
YOURE AN UTTER UTTER LEGEND!!
Sign in to YouTube
Sign in to YouTube
nychets 4 months ago
It's my understanding that skewness has more to do with the tails of the distribution. The left tail clearly has many more observations, therefore it's no surprise that the result is negative skew, even though the peak of the distribution doesn't resemble a typical example of negative skew.
Sign in to YouTube
Sign in to YouTube
blackyvicky 5 months ago
Sorry but if you made an educational video please get the facts straight. a skew to the LEFT is a POSITIVE skew, not a negative skew.
Sign in to YouTube
Sign in to YouTube
the11diesel 11 months ago
ditto!
Sign in to YouTube
Sign in to YouTube
XiaoweiLI 1 year ago
hi just wondering how did you get the distribution graph
thanks
Sign in to YouTube
Sign in to YouTube
wazzupfrenzy 1 year ago
why do you continuously compound the day return on the google price? why not use the holding period return?
Sign in to YouTube
Sign in to YouTube
tbingham0298 1 year ago
David, thank you for being so generous with your time and posting your extraordinarily helpful videos!
Sign in to YouTube
Sign in to YouTube