Asymmetrical Distribution

  

Categories: Metrics, Stocks

Asymmetrical distribution means that the mean, median and mode values of the stock are occurring at irregular points. This shows abrupt and irregular increases and decreases. A normal distribution shows a bell curve, with the sides being even.

The reason the shape on the chart matters is that it indicates a lack of consistency or pattern, which may be the result of a new outside force affecting the market...or perhaps an issue with the stock itself. Basically, it suggests something unusual going on that requires further research.

Related or Semi-related Video

Finance: What is co-variance?8 Views

00:00

Finance allah shmoop what is co variance while co variance

00:08

is a way to tell if two investments will both

00:11

head to millionaire acres together or to the poor house

00:15

together or if one is headed to millionaire acres while

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the other is headed Teo you know the poor house

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three choices there that's where co variance comes in and

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it basically comes in these three flavors Positive co variance

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which means the investments both either grow in value or

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both lose value typically in a linear fashion that's positive

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co variance They're like tied together Negative cove arians means

00:40

that as one investment grows well the other loses like

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loses value also typically in a linear fashion you know

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kind of graphically linear and then you have zero co

00:50

variance which means well we're just sure that whatever their

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relationship is it almost certainly isn't a linear one They're

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just not really varying together They may both grow together

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but in a non linear kind of curvy almost random

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fashion they may head opposite directions but they probably won't

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do it in a straight line of kind of way

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right Well co variances used to help investors make sure

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their portfolios are adequately diversified after all if our when

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one or more markets do crash again it'd be nice

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if our net worth wasn't also completely totally changed right

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Kind of kind of want to hedge your bets there

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a little bit So let's pretend we have a portfolio

01:29

in which all the investments are in companies that make

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different kinds of hand held tech like smartphones and tablets

01:36

and smart watches and you know adult aides of different

01:40

flavors and forms So these investments in our portfolio will

01:44

almost all certainly have a positive co variance with each

01:47

other like they all kind of have the same buyers

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and sellers and appetites and market swings And then the

01:53

surgeon general one day determines that the radiation from handheld

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tech causes monster ism The value of our portfolio will

02:00

hit rock bottom fast stirred on an album of spoken

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word poetry by vladimir putin if instead we had paid

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attention to all that positive co variance data and try

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to get some investments with negative co variance is well

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we might not be looking through the want ads and

02:17

selling plasma every day to pay for food a portfolio

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With a number of pairs of investments with negative co

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variances would mean that while some of our tech stocks

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might have plummetted our monster defense stocks might have skyrocketed

02:30

All right So how do we calculate co variance Well

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they're two ways First we can use the co variance

02:36

formula which has us take one investments returns subtract the

02:40

mean return from each of those returns And repeat that

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for the other investments multiplying all the pairs together to

02:46

sum up those values Wait can we just do this

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step by step All right let's do that that way

02:51

Yeah There we go So let's take the returns from

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two different investments Read from the same time period We'll

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need to find the means The averages of investment one

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and investment to well to get that for investment one

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an average Well we'll add up the returns of five

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point one five point three five hundred francs having and

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if i had a total of twenty seven point two

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by five giving us an average there Five point four

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for for investment too We had three point three of

03:14

your own and these are like percent returns on bonds

03:17

Or something like that That's A kind of think about

03:18

a total seventeen point nine five by five and we

03:21

get three point five eight Right now we subtract the

03:23

mean from each individual return So for investment one that

03:27

means subtracting the mean of five point four four from

03:31

each data point you get five point one five point

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three five point four five seven five seven Not to

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be mean But that means we also need to subtract

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the mean of investment to which was that three point

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five eight from each of those data points and so

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on And get what we mean here that's How it

03:45

should look so next up multiply the matched pairs of

03:47

points like negative zero point three four times negative zero

03:51

point two eight and then negative point one four times

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Negative point one eight and so on All right time

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to some All those values to get point o nine

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five two plus point two five two plus uh negative

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went for a a aa plus Pulling on three One

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two and five seven two gives us point two oh

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four There we go What We finish up dividing that

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Some by one last the number of hairs of data

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points So we'll divide by point two Oh four There

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that thing will divide that by four Which gives us

04:19

a cove Arians finally of point Oh five one What

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the hell does that mean Well that positive cove arians

04:25

means that in general as investment one gains value in

04:28

general so too does investment to or that in general

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as investment one loses value so too does investment to

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meaning they're pretty correlated So it's not a huge issue

04:38

to have some investments with positive co variances but the

04:41

entire portfolio i probably shouldn't be made up of positive

04:45

cove Arians pairs of investments maybe kick in a few

04:48

investments to the curb in favor of some that produced

04:51

negative co variances Good idea no matter how attached you

04:54

are to a particular investment or sector of the economy

04:57

Well now that we've used the actual co variance formula

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what are other ways we can do A ploy to

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find co variance Well we can calculate the correlation coefficient

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a k a the r value r r squared value

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of the data points And then multiply that value by

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both the standard deviation of the ecs data and the

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standard deviation of the wide data Okay well the individual

05:20

standard deviations and our values can be quickly calculated using

05:23

technology like a graphing calculator website er's frenchie or something

05:27

like that using a graphing calculator on those same returns

05:30

from investments one into from before while we found our

05:33

to be point nine o two one exit standard deviation

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to be point two six eight and wise standard deviation

05:39

be point two one six eights is just different Pairs

05:42

of investments Like a bond portfolio How correlated worthy Well

05:45

when we multiply point nine o two one by point

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two six away and then by point two one six

05:51

eight we get a co variance love wait for it

05:53

point oh five one yeah we've seen that number before

05:56

And we're not in the matrix Alright again a positive

05:59

cove Arians means that the two investments will probably either

06:02

both grow in value over same time period or probably

06:04

lose value together over the same time period They may

06:07

grow or lose value of different race but whatever direction

06:11

one goes in well the other follows Think about him

06:13

Like penguins were kind of you know sniffing each other

06:16

well A negative co variance will mean that is one

06:18

investment gains value than the everyone loses value and that's

06:22

Good Sometimes people call that ej that's kind of a

06:25

good thing to have stabilized Report Follow at least in

06:27

the short term a well diversified portfolio should have enough

06:30

pairs of investments or combinations of investments that have negative

06:33

co variances so that they protect you in the really

06:36

ugly scenarios Right now we just have to figure out

06:39

who's going to clean up the office before the boss 00:06:41.797 --> [endTime] gets back

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