In this lesson, I'm going to demonstrate to you and give a screencast on how to look up some of these
individual measures, risk measures for individual stocks.
All right.
So we're going to look at different websites and things, platforms where you can look up these measures
for free on these platforms.
And the primary one we're going to be looking up is beta.
And really the reason for that is that's the most readily available, most commonly used, but also
what you can find in almost any site.
The other stock measures are actually hard to find for individual stocks.
So a lot more available in terms of mutual funds or ETFs.
But for individual stocks, it's hard to find these other measures that we've looked at is if you find
some, send me a direct note and I'll do a lesson on it because they're really hard to find.
They're usually behind paywalls if they do them at all.
But you have to look behind a paywall.
As for signing up for a service so it's not free, you may find in a company's investors resources section
on their website, they may talk about it and you can always manually calculate it.
So for those who like to do the calculations, you can always calculate things like a Sharpe ratio or
whatever you'd like to do, and some of the calculations are much easier than others.
So do bear that in mind.
So we're going to look at beta.
Let's look at some different sectors in different industries in terms of different types of companies.
And I just kind of sort of randomly pick some.
I have Xcel Energy, which is a utility company, Kraft Heinz.
I might familiar with some of their food manufacture and Amazon, you know them, they're e commerce,
but they also actually have a big Web services arm, Amazon Web Services.
So they're kind of like two big companies in one.
And then we'll look at Tesla and electric vehicles, though they also do batteries.
There's a lot of interesting things that Tesla is doing, but they're primarily known for electric vehicles,
just like Amazon might be primarily known to the general public.
For E Commerce, Tesla does a lot more than just EV or electric vehicles.
And if you look at these sectors, you might be able to start to kind of guess a little bit, which
might be more risky, volatile, you'll have wider range of prices, those types of things.
But we're going to actually look at things like beta and see how they compare and how to how to look
this up.
Okay, I'm over here.
I had finance at Yahoo.com.
I put in my ticker symbol for Xcel Energy already.
So we've got that.
So I'm going to show you three different sites real quickly.
I'm going to show you Yahoo!
Investing.com and this will be the main one we're going to look at to as far as a couple of different
measures.
So I just put in Xcel Energy.
You can see the price to find the beta here is very easy.
It's right on the summary page right here where it says beta, it's a five year monthly beta.
And so that's a 0.28.
Right.
So that's we'll keep that in mind, but we'll, we'll be looking at these other ones on the other sites.
But this is where you find beta in Yahoo!
Finance.
Investing.com is an interesting side.
Same deal you can put in the company name here or ticker symbol and you'll find it right in there.
So on time you happen to know Excel?
I had already put it in there.
Let's go ahead and refresh it, though.
And you can see it's the same deal where you get a quote for Excel and then to find Beta, you'd actually
come down here, get a lot of good pop ups on this site.
And you can see here where it's beta again, that 0.27 and sometimes there's rounding things like the
next thing it's going to show or 0.28, you can see it's utility company, decent dividend and a 3%
yield investing.com is nice versus Yahoo finance and finishes, which you're going to look at in a moment
because it's really good at really looking at a lot of different exchanges all over the world.
So if you're, let's say, looking at Yahoo!
Or Fenves and you're not finding the stocks that interest you try investing.com, they're going to have
a broader thing of stocks as far as to look at.
So that's where we find beta here.
And then lastly, really a real powerful tool is fin viz.
A lot of people use fin vis certainly all the major companies and a lot of different major exchanges
are on fin viz.
But it might not have as many stocks, something like a mid-cap stock, let's say in Brazil you may
not be able to find an fin.
So look up the tickers on the other sites, try fin viz and if you can't find it you might just need
to go to the other site to look for some things, but otherwise you'll use for a lot of different ways.
And so I want to show you a fin viz with a lot different ratios and things like that.
For example, a really good, powerful site and free.
So let's say we put in SQL.
I happen to know that's Excel Energy.
I could also type in the company name if I can type correctly, and it would it would start to find
it at that point.
Oops.
And I'm sure we're enjoying me typing here.
Here we go.
See, you see Excel Energy down here.
All right.
So then we'll go down and you basically scroll down past the chart part.
And there's a couple of things I want to show you here.
And this also frees you get into some ads.
The beta here is right here and that 0.27 that we saw here.
And we're now we're going to look at some of the other ones that we're going to compare.
I just want to show you how to kind of find that one thing on finis to give you a little bit extra.
They have ATR and volatility, so ATR is average true range.
So it's something we didn't really talk about.
But you know, that's more of a technical analysis type measure because it's looking at the moving average,
it's actually looking at a 14 the way they use it here, a 14 day moving average and the range of.
Crisis over those last 14 days.
But it's another measure that you can use.
So if you make a note, this is 1.46 to give you a feel for range of prices and volatility, though
beta is the more recognized one.
They also have a thing here called volatility, which is kind of unusual in 2.63% here in 2.4 for a
range.
As far as with excel you and volatility the way this is something I think I think the more creative
it's more akin to standard deviation but it's really looking at the daily prices in high and low over
some daily prices, but it's not a true standard deviation, so I don't think it is.
So use this one with a grain of salt.
I mean, I don't really like the volatility one because we'll see here in Amazon in just a second.
It's not going to show much difference between Excel, a traditional utility company, and maybe like
Amazon More E Commerce, much should be much more volatile.
But beta, which is showing how reacts to the market, you can see this has a low beta 0.27.
So that means it's less volatile than market.
In fact, it's a very, very low volatility.
So if you want something that's low volatility, this will do it, though.
It looks like recently they're having some downtimes.
So let's look at now comparison.
So we've got a 0.27 on on Excel utility coming let's look at Kraft Heinz here and and their food manufacturer
make different types of food Kraft Heinz doing good serves this thing right here and you can see their
beta is 1.14.
So it's actually going to be above 1.0 as far as the beta.
So it's going to be actually more volatile than the regular market.
So as market goes up, it's going to go up more.
And if the market goes down, it's going to go down more.
So that's the beta.
You can see the average range is at a 1.8, 1.08 excuse me.
So as far as those range of prices actually doesn't have as much of range of prices as even Excel does.
And then you see some more a higher number in terms of that volatility, which we'd would expect compared
to to utility company.
But here's where it might get a little interesting.
So remember at 1.014 on that beta, but 4% or so on that volatility, again, this is more unique to
Vince.
So I almost just I'm concerned too much.
But let's look at Amazon here and let's look at Amazon.
And what do you expect?
What do you expect the beta to be higher, which it is actually, it's not even as high as like Kraft
Heinz at 1.13.
So that's interesting.
So that's where you got to look it up.
You just can't guess at that, but certainly much more higher beta than that 0.27 Excel.
But look at that average terrain.
So you have a wider range in terms of that that pricing, that's a higher price stock to see how that
but then that volatility that FINRA is using is 2.4.
That just isn't making sense to me.
You know, maybe if I looked at it further, it would, but I don't really use that in any way.
So I'm looking at this beta here so you can see you can say, well, Kraft, Heinz, you think boring
kind of food manufacture would be less volatile than Amazon e commerce, but it turns out not to be
the case.
So that's where we can look it up.
And let's look up one more here, just for fun, which is Tesla.
So you probably think Tesla should have some volatility in it as well.
And so TSLA is Tesla.
Let's go down here and yeah, look at that beta 2.03.
So when the market's really up, that's really going up as well.
When the market's going down, it's really going to get pummeled too as well.
So a true average range 38 and you can see this has that highlight of volatility measure.
So that's interesting as far as as far as comparing to the others.
But if we look at beta and how things are reacting to the market, that's the primary one.
You can look it up on Yahoo!
Finance, you can look up, Excel or excuse me, you can look it up on Investing.com is what we looked
at earlier.
You'll get similar numbers should be the same or it might be like say 2.02.
It's just a rounding type error and you can just kind of see where these different stocks fall.
So and then the other ones, you can kind of calculate Sharpe ratio.
Other ones are some are easier to calculate than others.
Otherwise Beta is a great starting point to get a feel for risk and volatility.
So if I'm investing in Excel Energy, not much change in prices go up over time, but pretty steady.
Eddie maybe pay me a dividend, but if I want something a lot more aggressive and high growth but with
a lot more risk around it, both high on the upside, it is great, but on the downside is going to
be more punishing.
Then I might look at Tesla with a higher beta.
It's not a matter of like one stock is better than another, by the way, it's more a matter of understanding
the volatility and think about how you look at volatility yourself and like if you want real high growth,
high risk, high reward stocks, Tesla 2.03 might be for you less risk, but maybe less growth in terms
of your price.
Maybe pay a little dividend, 0.27 beta, maybe like a company like utility like Xcel Energy would be
for you.
So there so there's a couple of ways that you can look up some different measures and primarily by beta
with stock market looking at individual stocks.