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The Coming Student Loan Collapse: Avoid THESE Stocks.

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so rightfully so a lot of people are

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worried about what's going to happen to

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the stock market once a student loan

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repayments are begin again and Barclays

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thankfully put together a phenomenal

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piece on their estimate bear in mind

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it's their estimate of what is going to

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happen to the economy and which stocks

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are going to benefit or fail based on

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student loan repayment rebeginning so

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we're going to talk specifically about

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that by going through zabakley's a piece

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uh this is by the way uh well I just

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want to say by the way I'm grateful to

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be coming to you from Canada I don't

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think I've mentioned it yet but well

0:38

obviously many of you know I've been on

0:39

vacation in Canada for about the last 11

0:41

days with family and my goal is to still

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bring quality content to everyone and so

0:45

I appreciate all of your support while

0:47

we've been out here with family and

0:49

we'll be back soon so anyway back to

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Barclays or to Barclays what do we have

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here pencils down payments up student

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loan repayments impact who too juicy we

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estimate the aggregate potential total

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potential hit to uh from student loan

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repayments to be somewhere around 15.8

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billion dollars of a monthly headwind

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and that will likely work out to an

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incremental payment spend of about 390

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dollars per person starting this fall

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which is about an eight percent headwind

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to monthly personal income now what

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we're going to do is we're going to go

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into some specific stocks that this

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might affect and I want you to start

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thinking about okay

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who what kind of person what kind of

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spender is most likely to be affected

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and initially I had this impression that

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oh well of course you know uh people

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with less money are going to be more

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affected by student loans but you have

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to ask yourself wait a minute but people

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in a certain level of poverty don't

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actually have student loans to begin

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with so there's there's this interesting

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middle ground that we're going to be

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paying attention to and stocks

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associated with that middle ground uh

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and I'll add my commentary of course on

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that but anyway let's take a look at

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this uh the expectation here from

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Barclays is that we are likely to see

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discretionary spend Fall by an equal

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amount of this uh decline in in monthly

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payments or this increase in monthly

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payments people are going to make so for

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example if you see uh people have 390

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less available for spending you'll

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probably see nearly all of that show up

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as less spending so in other words now

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people instead of spending 390 a month

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on Etsy or potentially spending it on

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student loans instead of spending it at

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restaurants or spending it on student

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loans instead of spending it you know

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whatever at Target they're spending it

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on student loans obviously to some

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extent people are still going to spend

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money on their Staples this would be the

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discretionary money this is the this is

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your toys your video games your Dave and

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Busters Your Entertainment your travel

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your airfares your hotels everything

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because remember what people generally

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do is they save up for travel right you

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save up three months you got a thousand

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bucks and then you go blow it on Disney

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tickets for the weekend or whatever

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which is the point of life anyway it's

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like you know we work to have fun and we

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work to provide fulfillment and the

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meaning of success to our lives as we

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provide value to society and our friends

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and family and the companies around us

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uh and and then we also want to balance

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that by having fun and entertainment so

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this is very normal but consider these

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things so anyway uh so what we here's

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how we come up with their calculation of

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about this eight percent headwind to

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monthly spend but take a look at this

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I think this is very interesting because

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they give me some stock implications

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here in our view consumer discretionary

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and apparel categories are likely to be

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among the areas affected by incremental

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wallet pressure okay incremental wallet

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pressure in English it means they have

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390 less dollars to spend

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furthermore we view that equities are

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among the most likely to be affected uh

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or the equities to be most likely to be

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affected are those that have a customer

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base that skews look at this folks I was

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actually surprised by this toward higher

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income higher income higher education

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consumers so think about it the the your

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white collar Consulting students your uh

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nurse students your doctor students your

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you know uh mechanical engineers

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electrical engineers your people who are

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making six figure salaries but

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potentially you're still living paycheck

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to paycheck you know it's reportedly uh

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CNBC at least did a survey on this 50 of

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those

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who make more than a hundred thousand

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dollars a year still live paycheck to

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paycheck

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that's probably the base you're talking

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about so to some extent does that mean

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maybe you're talking about your

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lululemons

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those tight pants yes your under armours

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your Lulu lemons your Urban Outfitters

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your AEO your figs remember figs was a

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huge fad there for a moment fake's uh

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like nursing and doctors

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um scrubs or whatever uh okay in the

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first bucket we perceived the they have

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three risk buckets in the first bucket

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they think the greatest risk to

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retailers is targeting recently

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graduated or newly employed that's

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because they likely have the lowest

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built up excess savings and so that

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would be your 18 to 34 year old range I

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do think it's interesting that they

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include 18 year olds in this since I

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don't know a lot of 18 year olds

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graduating from college so I would

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probably be looking more like your 22 to

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34 year old range this is your you know

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finding yourself age you're more

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critical you're more skeptical you're

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you're you're more wise age group than

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obviously like a 14 to 20 right it is

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but it's all also your uh your age group

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that's more willing to also spend

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because we realize we're not just here

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to work uh anyway you know to some

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extent uh you know Tesla is within this

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bucket right 25 to 34 or 25 to 45-ish

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year old males make up like 70 of car

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purchases from Tesla so uh that's

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probably in that bucket and honestly 390

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a month

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is about half of a Tesla car payment

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anyway uh we categorize exposure to

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student loan debt repayment risk in

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three main buckets

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the first is the recently graduated and

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newly employed in the second bucket we

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consider a higher Target income like the

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aspirational luxury category okay your

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fancy pants this is your fancy pants

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category uh including you can see some

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of the tickers on screen here cpri tpr

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Goose jwn your lulus your Ulta Ulta has

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been on a tear so anything that says

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Ulta might actually become affordable

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again as a stock maybe is a good thing

6:52

but anyway in the third bucket we see

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the least risk the lowest risk and this

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would be a customer base that skews

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towards a lower income or lower

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educational levels this is going to be

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your Gap your TJ Maxx your Old Navy uh

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Burlington code Factory whatever so your

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lower income actually at lower risk from

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discretionary pain where it's really

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that yeah there's Lulu it's really your

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Lulu's your fakes right your Urban

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Outfitters who knows maybe even your uh

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oh what's that one place that Lauren

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likes so much anthropology G's you know

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that that sort of segment yeah they're

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gonna get hit a little more I wonder

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what that's going to do also

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thinking about it to your home decor

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Market to your chip and Joanna Gaines

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inspired younger couples who are like I

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gotta I Gotta Buy shiplap and new

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furniture and and you know we gotta have

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a new vintage looking oven and you know

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all that kind of stuff so uh maybe uh to

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some extent a little bit of everything

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yeah there'll be a limit I expect to

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make up but anyway uh this that's

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actually just the piece here on student

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loans it's just this segment here but I

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think that actually gives us a lot of

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color on student loans so I would pay

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attention to this and uh look into some

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of the uh

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discretionary categories that have done

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very well but do also consider a

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comparison between some of the companies

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that I've mentioned here and something

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like an Etsy specifically just on stock

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performance so let's let's for example

8:24

look here let's jump over to Weeble our

8:26

favorite desktop app for looking at

8:29

stocks uh and it's also a pretty good

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mobile app and uh oh Tesla went Green in

8:34

the pre-market how funny but anyway

8:36

remember you can get yourself 12 free

8:38

Stocks by signing up for Weeble by going

8:39

to metcaven.com free met kevin.com free

8:43

or check out the links down below paid

8:46

promotion with huibo anyway okay so

8:48

let's let's just from a technical point

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of view let's just go solely technical

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here so let's look at something uh like

8:54

Etsy and why don't we jump on over to uh

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should we let's go to a week chart on

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Etsy okay so this is Etsy on a week

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chart so from a technical point of view

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you've you've already experienced a

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substantial amount of pain over here at

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uh see and there's a limit to how much I

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think Etsy can really get hit more in

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this discretionary pain specifically

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because they've already been hit so hard

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and I think that probably creates more

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of an opportunity than it does a deficit

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so I'm watching Etsy very closely uh let

9:25

me throw over my stream yard overlay by

9:27

the way since I'm live streaming from

9:28

Canada I'm grateful to stream yard met

9:31

kevin.com stream yard for providing the

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ability to throw up banners and share

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screens and stuff streaming it's

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fantastic just go to metcavin.com

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streamier to learn more okay so now

9:41

let's look at like a Lulu right let's

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look at some of these other Pickers

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mentioned here this is for Lulu here on

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a week chart uh and you can see Lulu's

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really been uh you could almost say

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range bound I mean we could to some

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extent we can go with uh some horizontal

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lines here and we could somewhat set up

9:57

Lulu as range bound yeah there we go

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it's it's not perfect but you could

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really see how Lulu's been holding up

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and a Spock that I saw that was range

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Bound for a while that didn't get

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punished yet was ubiquity and you could

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see ubiquity was range bound over here

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really between this 325 and 284 level it

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was range mount for about two years it

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just couldn't break out it it refused to

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stay lower until it finally tanked this

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is my buy point right here on ubiquity

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and so I've actually actively been

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increasing my personal exposure to

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ubiquity because of this but we look at

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something like uh like uh

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Etsy seems like it's already had some of

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its pain but then you look at a Lulu you

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haven't really had that correction yet

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on Lulu is it possible that the student

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loan issue happens to Lulu yes now what

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about like an Ulta boy this one's this

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has been one of those rough ones where

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it's like if you haven't been an Ulta

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you're like man I wish I'd been an Ulta

10:54

because this is the weak chart for Ulta

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and you can see here's the coven low

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right here it's basically been straight

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up I mean you could really just go in

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here and draw a trendline support and go

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who cares they've had a recent

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correction this stock is straight up and

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it ain't going anywhere and maybe that's

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true or what's actually more likely to

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be true is if that uh covid or rather

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the student loan repayment uh begins

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again and we do end up seeing some

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pressure to Ulta's growth which Ulta is

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is built on a lot of growth right now

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you look at all times I mean even from a

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p e ratio I'll pull let me pull up this

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PEG ratio on Ulta but my my latest

11:37

recollection is that Ulta's growth was

11:39

actually pretty lofty not to be confused

11:42

with the company called Loft but anyway

11:44

lofty valuation and really relying on

11:48

growth so if you have something that

11:49

could take away even just the marginal

11:51

growth and write down growth at Ulta you

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could see more of what you saw on the

11:55

right side there which was a correction

11:57

down but it's still only just a

11:59

temporary I mean still a range bound

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correction we could actually break out

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of this range would be the concern so uh

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let's see here you've got you're sitting

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at about an EPS on Ulta uh of a January

12:11

2024 of 2536 so we're going to divide

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that by 447 divided by 25

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36 that gives us a p e ratio of 17.6 now

12:24

you might say Hey Kevin that doesn't

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sound so high why why is uh you know why

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is that bad well what's bad is they're

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only expected to grow their earnings by

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about six percent that puts you at a PEG

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ratio of nearly three for Ulta so on a

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price to earnings growth basis it's very

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high so these are some considerations

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when it comes to student loans and what

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we might end up seeing with student loan

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repayments and some of the pain uh MC

12:53

Hammer thought the money would keep

12:55

coming in

12:56

yes yes exactly lifestyle creep yes

13:00

there's a lot of that a lot of a lot of

13:03

famous wealthy people who went bankrupt

13:05

uh just spending too much but anyway

13:08

these are some things to consider if you

13:10

like my perspectives again check out the

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your wealth we've got some massive new

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we get close are there so uh join the

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programs down below and email us at

13:22

staff meet kevin.com if you have any

13:24

bundle up considerations or questions

13:26

about the program's staff meet kevin.com

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