WEBVTT - Eli Lilly to Purchase Morphic, Green Hydrogen

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<v Speaker 2>So this is about either Lily, it is buying another

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<v Speaker 2>company called hang On, let me get my notes.

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<v Speaker 3>Thank you.

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<v Speaker 2>This is why I love Paul Morphic parent. It's going

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<v Speaker 2>to help your gi track, which everybody really needs. Let's

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<v Speaker 2>be honest. Sam Zelli, Bloomberg Intelligence, Director of Research for

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<v Speaker 2>Global Industries and Senior Pharmaceuticals, joins us from London.

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<v Speaker 3>Hey Sam, what is Morphic? Do we like this deal?

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<v Speaker 4>What are your thoughts?

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<v Speaker 5>Yeah, so, Alex, thanks for having me back on it's

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<v Speaker 5>been a little while. So this deal is about adding

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<v Speaker 5>to their immunology franchise. Of course, everybody knows Lily for

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<v Speaker 5>the endless thing headlines that are related to GLP ones

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<v Speaker 5>and obesity and cancer. Today we have apparently ten cancers

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<v Speaker 5>that are not cured, but risk is reduced with those

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<v Speaker 5>types of drugs. But the reality is there's a lot

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<v Speaker 5>more to this company before the GLP one business ballooned

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<v Speaker 5>with regards to obesity, and one of the areas there

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<v Speaker 5>in is immunology or otherwise known as immunology and inflammation

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<v Speaker 5>or inflammation and immunology I and I and I and

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<v Speaker 5>I is also a very attractive area because these are

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<v Speaker 5>areas where we all have issues with arthritissoriasis, Crow's disease,

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<v Speaker 5>if elamentary bowel disease.

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<v Speaker 6>All these things are stuff that we have been suffering

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<v Speaker 6>from for years.

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<v Speaker 5>Obesity probably increases their risk too, so and there've been

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<v Speaker 5>a very active company in that space with three drugs

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<v Speaker 5>four drugs on the market already and they've been doing

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<v Speaker 5>deals adding to it.

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<v Speaker 7>SAM three point two billion dollars is not a big

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<v Speaker 7>big deal for Lily, But is this typical of what

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<v Speaker 7>we see at a big pharma companies in terms of

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<v Speaker 7>if they see a therapeutic or just a piece of

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<v Speaker 7>science as interesting to them, it's better to buy than

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<v Speaker 7>develop internally.

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<v Speaker 5>Yeah, So I would say they're around thirty to forty

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<v Speaker 5>percent of pharmaceutical companies. Pipelines comes from this type of interaction,

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<v Speaker 5>either at.

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<v Speaker 6>An M and a deal I e.

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<v Speaker 5>Bought the whole thing lock Stock and Barrel, or I

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<v Speaker 5>license a specific product in this case.

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<v Speaker 6>So I'm looking at Lily. We have a database.

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<v Speaker 5>Of course, we have the MAA function in the Bloomberg terminal,

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<v Speaker 5>but we've taken that and dissected a little bit more

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<v Speaker 5>and added on the bi dashboard and detail about the

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<v Speaker 5>types of drugs that are in.

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<v Speaker 6>Those deals, and MNA is one of that.

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<v Speaker 5>So I'm looking at twelve deals that Lily has done

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<v Speaker 5>in the past five years, and I'd say that only

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<v Speaker 5>like three or three of them are in the cardiovascular

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<v Speaker 5>metabolic space. I either diabetes OBS, the rest are oncology CNS,

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<v Speaker 5>and of course two are inflammation and immunology, and this

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<v Speaker 5>is one of them. So now it becomes three, right,

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<v Speaker 5>because that's not quite updated yet. And they're all in

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<v Speaker 5>the sort of range eight billion for locksow one point

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<v Speaker 5>one eight hundred and eighty million, two point four billion.

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<v Speaker 5>So we've got a good bunch of deals, and they're

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<v Speaker 5>all in that level which the Farmer company is called

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<v Speaker 5>Bolton Acquisitions, and that's their sweet spot of M and A.

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<v Speaker 4>See Alex.

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<v Speaker 7>Everybody thinks that the smart people in bi pharma healthcare

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<v Speaker 7>researcher guys people like Sam Fazelliot.

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<v Speaker 4>That's not really the case. It's this young lady named.

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<v Speaker 7>Grace and she's in Princeton and she maintains a world

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<v Speaker 7>class model that tracks the millions of drugs that are

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<v Speaker 7>in various stages of you know, reviews around the world,

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<v Speaker 7>and clients put huge value on that work that she does,

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<v Speaker 7>and that allows Sam and some of the other anamals

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<v Speaker 7>to go out there and talk about these drugs.

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<v Speaker 4>So Grace a great job.

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<v Speaker 2>As always love Paul shout out that was awesome, so true.

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<v Speaker 5>And he needs to This particular shout out goes to

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<v Speaker 5>another great lady who's called Mila, Mila Bankoskaya, who's also

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<v Speaker 5>part of our team.

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<v Speaker 6>But nobody matches up to Grace.

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<v Speaker 5>Of course, Grace has been in the Catalyst calendar that

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<v Speaker 5>year and I don't match up to her.

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<v Speaker 6>Nobody matches up to her.

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<v Speaker 2>Okay, So based on that, what are some of the

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<v Speaker 2>cool things that are out there, like cool drugs that

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<v Speaker 2>we should be talking about. We never get to talk

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<v Speaker 2>to you when there's no crisis, really, so what are

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<v Speaker 2>some cool things out there?

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<v Speaker 6>Yeah?

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<v Speaker 5>So obviously the OBC space, there's there's breakneck evolution of

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<v Speaker 5>different modalities being combined trying to make it much more

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<v Speaker 5>focused on fat, preserving some muscle, making it work better

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<v Speaker 5>for the liver part.

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<v Speaker 6>Of the disease.

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<v Speaker 5>And that's all going to come to fruition over the

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<v Speaker 5>next two or three years. On colog years, I've been

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<v Speaker 5>saying all along is seeing amazing developments.

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<v Speaker 6>You know, we're developing.

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<v Speaker 5>These disease hubs, as you might know, and just for

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<v Speaker 5>lung cancer, we're developing almost thirteen different subgroupings of lung cancer.

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<v Speaker 5>And it just shows you where treatment of these diseases

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<v Speaker 5>have got to. And the same applies in inflammation and imminology,

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<v Speaker 5>and in that space we're dealing with technology that is

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<v Speaker 5>really cool. This particular acquisition and the one that they

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<v Speaker 5>recently did its almost exactly a year ago, called dice therapeutics,

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<v Speaker 5>are all about dealing with proteins that are very intractable

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<v Speaker 5>to inhibition and normal drug discovery, and these two companies

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<v Speaker 5>have developed oral drugs small molecules that interact with these targets.

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<v Speaker 6>And the beauty of this, of course is do you

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<v Speaker 6>remember all that worry.

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<v Speaker 5>That when people were having about what happens with the

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<v Speaker 5>IRA inflation reduction acts and its impact on small molecule development,

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<v Speaker 5>because it specifically puts them out, saying, after nine years,

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<v Speaker 5>irrespective of your patterns, we're.

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<v Speaker 6>Going to come back in and negotiate prices.

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<v Speaker 5>Well, here's Lily who's done two deals that are specifically

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<v Speaker 5>small molecule deals. When the biology is interesting, when the

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<v Speaker 5>drugs are interesting, I think the deals happen. Now, whether

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<v Speaker 5>these will get to market or not, who knows. I mean,

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<v Speaker 5>farmer isn't infallible when it comes to these deals. But

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<v Speaker 5>this shows that when they have they see something interesting,

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<v Speaker 5>they go for it, irrespective of small or big.

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<v Speaker 7>Molecule sam People for better or worse, are living longer

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<v Speaker 7>and longer lives, which makes every family it seems like

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<v Speaker 7>it's dealing with some type of dementia, Alzheimer's and things

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<v Speaker 7>like that. How does the farmer, the farmer industry, healthcare adustry,

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<v Speaker 7>how do they think about that? How are they kind

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<v Speaker 7>of getting ready for that?

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<v Speaker 6>Yeah, so you know the beginnings. Can I just give

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<v Speaker 6>you an example.

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<v Speaker 5>An analogue for Alzheimer's disease is obesity. We've been at

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<v Speaker 5>this obesity game for a year, ten years, fifteen years,

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<v Speaker 5>twenty years. I remember one of the old drugs from

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<v Speaker 5>Rush Pharmaceuticals that are that's still around called ally that

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<v Speaker 5>reduced the amount of fat.

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<v Speaker 6>You absorb as you eat.

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<v Speaker 5>Of course, what does that create fat left in your

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<v Speaker 5>stomach lubrication. I'm going to leave the rest of it

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<v Speaker 5>your imagination, right, So, that was the idea that was

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<v Speaker 5>going to be helping you lose weight, maybe three percent,

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<v Speaker 5>four percent, five percent. And then it took a lot

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<v Speaker 5>of time before somebody started discovering these things saying, oh gosh,

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<v Speaker 5>we can get to fifteen twenty percent. If you're a

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<v Speaker 5>two hundred and fifty pounds person, we can help you

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<v Speaker 5>drop seventy pounds. That happened in obesity, I'm hopeful that

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<v Speaker 5>the same happens in dementia and neurodegeneratic diseases.

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<v Speaker 6>It's very much tougher.

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<v Speaker 5>I mean, all biology is tough, but CNS is tougher

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<v Speaker 5>because it's a black box. It's a disease that evolves

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<v Speaker 5>over twenty years, thirty years, and by the time you

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<v Speaker 5>your disease manifests, you've already had a lot of organic

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<v Speaker 5>change to your brain. But there is the first products

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<v Speaker 5>that are approved. With the first products approved, you do

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<v Speaker 5>get a bit more incentive to develop the next one.

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<v Speaker 5>Go better, Go another mile further, and that's where I'm

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<v Speaker 5>hoping at the very least in Alzheimer's disease and Parkinson's

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<v Speaker 5>we're going to be going there.

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<v Speaker 6>Other diseases are a bit tougher. Still, do you.

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<v Speaker 2>Think that we'll ever have a preventative drug for Alzheimer's

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<v Speaker 2>or just a treatment.

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<v Speaker 5>To delay well, the I think it's very tough to

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<v Speaker 5>prevent because how do you know who's going to get it?

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<v Speaker 5>That means you and I especially I, because you guys

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<v Speaker 5>are much longer than me, younger than me. Paul is

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<v Speaker 5>he's just coming out of school, right, So my thing

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<v Speaker 5>is that at what point do you start taking these drugs?

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<v Speaker 8>Right?

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<v Speaker 6>How do I do that? So that becomes difficult? Who

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<v Speaker 6>pays for it?

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<v Speaker 5>And if they're preventative, how long do I have to

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<v Speaker 5>take them before I know? I mean, how do you

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<v Speaker 5>even do a trial there? So don't forget though, Now

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<v Speaker 5>that's disease. You can go into the early mild dementia

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<v Speaker 5>and try and slow down the disease, but step at

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<v Speaker 5>the time, at a step at the time, and nothink

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<v Speaker 5>will we'll have something, might take a decade or two,

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<v Speaker 5>but hopefully will have them.

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<v Speaker 7>And Sam again, are these is this something if we

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<v Speaker 7>see announcements on this front will likely be, you know,

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<v Speaker 7>the big form of companies that you cover making and

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<v Speaker 7>acquisitions of some of these smaller companies that are just

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<v Speaker 7>focused on this one particular thing.

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<v Speaker 5>Probably, and don't forget that also the large farmer companies.

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<v Speaker 5>I mean then the two drugs that we have on

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<v Speaker 5>the market today that can be and I forget what

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<v Speaker 5>Dunana maps caol has just been approved, so I can't

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<v Speaker 5>remember it a branded name.

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<v Speaker 6>I'm sorry, Iliy.

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<v Speaker 5>They both came from within either the farmer company or

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<v Speaker 5>the a Japanese partner. However, in the case of the

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<v Speaker 5>can be that came from a Scandinavian biotech, So both

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<v Speaker 5>of these are true.

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<v Speaker 6>The question is who's got the firepower.

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<v Speaker 5>The money to spend the billions required to develop these

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<v Speaker 5>and that's often ends up being the farmer companies.

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<v Speaker 6>It's the large farmer companies.

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<v Speaker 2>Do you feel like, no matter who gets to be

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<v Speaker 2>president in here in November, here in the US, are

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<v Speaker 2>we going to see massive drug pushback? Like I realized,

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<v Speaker 2>it's probably a campaign tactic. But President Biden coming out

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<v Speaker 2>last week and talking about how all the things were

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<v Speaker 2>so expensive and really blaming like Novo Nordos. He wrote

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<v Speaker 2>an app that with Bernie Sanders in USA today, what

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<v Speaker 2>do you.

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<v Speaker 5>Think I think this is a hot potato, which hand

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<v Speaker 5>them are going to? I think it is a I

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<v Speaker 5>don't think they are aiming their guns at the right

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<v Speaker 5>group of companies. I think you could always argue that

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<v Speaker 5>drug pricing because it's the easiest thing. It's a drug

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<v Speaker 5>that people have to buy, and it says Lily on

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<v Speaker 5>it right, is difficult for some people.

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<v Speaker 6>A lot of people can't afford them.

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<v Speaker 5>But there's a lot of middlemen that need to be

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<v Speaker 5>looked at to where the where the increasing cost comes from.

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<v Speaker 5>And you know what, the best way to entice people

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<v Speaker 5>to develop obcity drugs, to bring down the price, to

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<v Speaker 5>bring up competition is to allow the market to do

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<v Speaker 5>his job. The market will do it already. These things

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<v Speaker 5>are not costing ten one thousand dollars a month. We're

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<v Speaker 5>more closer to five hundred net. Let the market to

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<v Speaker 5>the job, bring more drugs. On the volume goes up,

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<v Speaker 5>you can drop the price.

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<v Speaker 4>Hey, Sam, thanks so much for joining us.

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<v Speaker 7>As always expansive discussion, like we like to have a

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<v Speaker 7>san Fazelo in all things. A big farmer in biotech Sanfazeli.

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<v Speaker 7>He's he runs up Bloomberg Intelligencing over there in your force,

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<v Speaker 7>and his day job is being one of the top

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<v Speaker 7>healthcare parmer analysts in the city of London. Eli Lilly

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<v Speaker 7>back at a bus. I've said it before, I'll say

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<v Speaker 7>it again in my next life. I'm coming back. I

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<v Speaker 7>think as a healthcare m and a banker, because everywhere

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<v Speaker 7>every Monday, it seems thinking to wake up and boom,

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<v Speaker 7>there you go, Illely buying us biotech Morphic three point

0:11:39.160 --> 0:11:40.040
<v Speaker 7>two billion dollars.

0:11:40.080 --> 0:11:40.640
<v Speaker 4>This is Bloomberg.

0:11:42.240 --> 0:11:46.120
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:11:46.200 --> 0:11:49.720
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0:11:49.760 --> 0:11:52.520
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0:11:52.640 --> 0:11:55.760
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0:11:56.120 --> 0:11:58.880
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0:12:00.040 --> 0:12:03.520
<v Speaker 7>A lot of folks are getting concerned about this marketplace.

0:12:03.559 --> 0:12:08.200
<v Speaker 7>Is equity market's been higher, there's evaluation concerns. There's headwinds

0:12:08.240 --> 0:12:11.240
<v Speaker 7>about when or if this FED is going to cut rates.

0:12:11.480 --> 0:12:14.480
<v Speaker 7>There's concentration risk is probably ranks pretty highly with me.

0:12:15.080 --> 0:12:16.760
<v Speaker 7>Let's check in with a professional and see how they're

0:12:16.760 --> 0:12:20.480
<v Speaker 7>thinking about it. Shelby McFadden Investment analyst, Motley Full Asset

0:12:20.559 --> 0:12:25.079
<v Speaker 7>Management joining us from Zoom via Zoom from Alexandria, Virginia. Shelby,

0:12:25.600 --> 0:12:27.679
<v Speaker 7>how concerned are you about this marketplace? How do you

0:12:27.679 --> 0:12:30.240
<v Speaker 7>feel about this market? Are you confident that this equity

0:12:30.240 --> 0:12:32.160
<v Speaker 7>market can continue to move higher?

0:12:32.280 --> 0:12:33.280
<v Speaker 4>Where are you these days?

0:12:34.600 --> 0:12:34.760
<v Speaker 1>You know?

0:12:34.800 --> 0:12:37.360
<v Speaker 3>I would say this sort of confidence and concern is

0:12:37.360 --> 0:12:39.959
<v Speaker 3>sort of a two pronged issue, right. So the confidence,

0:12:40.080 --> 0:12:41.800
<v Speaker 3>who can say, right, we all kind of wish we

0:12:41.840 --> 0:12:45.200
<v Speaker 3>had a crystal ball, especially as active managers. But the

0:12:45.200 --> 0:12:47.240
<v Speaker 3>sort of confidence, I would say, is rooted in the

0:12:47.240 --> 0:12:49.560
<v Speaker 3>fact that this is the precise sort of market where

0:12:49.600 --> 0:12:52.320
<v Speaker 3>you can sort of find those opportunities. They may not

0:12:52.440 --> 0:12:55.680
<v Speaker 3>necessarily pay the dividend right away, and that sort of

0:12:55.679 --> 0:12:57.800
<v Speaker 3>goes to the issue of concentration that you had mentioned

0:12:57.800 --> 0:13:01.360
<v Speaker 3>in the introduction, where you know, to look for those winners,

0:13:01.360 --> 0:13:04.280
<v Speaker 3>those diamonds in the rough that may not be sort

0:13:04.320 --> 0:13:06.800
<v Speaker 3>of paying off right now, But when that return of

0:13:06.960 --> 0:13:09.840
<v Speaker 3>breath comes back, that's when we sort of get to

0:13:09.880 --> 0:13:12.280
<v Speaker 3>see the fruits of our labor. And that is right

0:13:12.320 --> 0:13:15.400
<v Speaker 3>there the crux of active management so valuations they're rich.

0:13:15.920 --> 0:13:19.280
<v Speaker 3>That can be concerning. It's never exciting to have to

0:13:19.360 --> 0:13:22.720
<v Speaker 3>sit and wait for that golden opportunity that we've been

0:13:22.760 --> 0:13:25.400
<v Speaker 3>watching out for, but it absolutely pays off from the end,

0:13:25.400 --> 0:13:27.439
<v Speaker 3>and that's why we stick to that high quality strategy.

0:13:27.720 --> 0:13:29.520
<v Speaker 2>Do you care about breath? Do you care about the

0:13:29.559 --> 0:13:32.440
<v Speaker 2>seventeen hundred stats that I read today about how you

0:13:32.480 --> 0:13:35.400
<v Speaker 2>know the top seven stocks reported x amount of the

0:13:35.440 --> 0:13:37.240
<v Speaker 2>gain in the S and P so far this year?

0:13:37.280 --> 0:13:39.079
<v Speaker 2>I say it glibly because I feel like we've been

0:13:39.120 --> 0:13:42.079
<v Speaker 2>talking about this for like nine months, So how much

0:13:42.080 --> 0:13:43.440
<v Speaker 2>do you care about that now?

0:13:45.120 --> 0:13:47.480
<v Speaker 3>I would say that breath does still matter to us,

0:13:47.480 --> 0:13:49.560
<v Speaker 3>and I even say that given the fact that we

0:13:49.679 --> 0:13:52.679
<v Speaker 3>have what are considered more concentrated portfolio. So you may

0:13:52.720 --> 0:13:55.080
<v Speaker 3>be thinking, how does that even make sense? It makes

0:13:55.120 --> 0:13:59.400
<v Speaker 3>sense in the concept rather in the realm that compared

0:13:59.400 --> 0:14:02.760
<v Speaker 3>to the SM compared to what we consider the broad market,

0:14:03.440 --> 0:14:06.400
<v Speaker 3>we are more concerned with finding opportunities that are not

0:14:06.520 --> 0:14:10.280
<v Speaker 3>necessarily just all concentrated in one space. So when we

0:14:10.320 --> 0:14:14.440
<v Speaker 3>do look at our active ETFs, they're not always going

0:14:14.480 --> 0:14:18.439
<v Speaker 3>to reflect the main stocks that are moving the market.

0:14:18.480 --> 0:14:20.840
<v Speaker 3>There are going to be some more sort of niche

0:14:20.880 --> 0:14:24.960
<v Speaker 3>concepts in there that underlie some of the main processes

0:14:24.960 --> 0:14:27.440
<v Speaker 3>that keep our economy going. So when we look from

0:14:27.480 --> 0:14:30.720
<v Speaker 3>a portfolio management perspective, breath is increasingly important to us.

0:14:31.400 --> 0:14:33.520
<v Speaker 7>Shelby, how do you think about earning season. We're going

0:14:33.560 --> 0:14:35.960
<v Speaker 7>to kick it off Thursday with some of the airlines

0:14:35.960 --> 0:14:38.400
<v Speaker 7>and then of course the big banks kicking off on Friday.

0:14:38.560 --> 0:14:39.720
<v Speaker 4>What are you looking for this quarter?

0:14:41.400 --> 0:14:43.960
<v Speaker 3>I would say, going into early earning season, you know,

0:14:44.240 --> 0:14:47.600
<v Speaker 3>we're not expecting anything to earth shaking from the big

0:14:47.640 --> 0:14:50.400
<v Speaker 3>banks for the most part, they've already gotten all of

0:14:50.440 --> 0:14:52.600
<v Speaker 3>their shakeouts going. We might hear about a little bit

0:14:52.600 --> 0:14:56.320
<v Speaker 3>of M and A activity, and you know, mainly following

0:14:56.320 --> 0:14:58.720
<v Speaker 3>the regionals after the big banks. As we go further

0:14:58.760 --> 0:15:01.120
<v Speaker 3>into earning season, I think one of the key things

0:15:01.120 --> 0:15:03.560
<v Speaker 3>that we're looking out for is going to be back

0:15:03.600 --> 0:15:07.280
<v Speaker 3>office spend, those sorts of budgets on any sort of

0:15:07.400 --> 0:15:11.800
<v Speaker 3>CRM technology advertising, all of those sorts of software platforms

0:15:11.800 --> 0:15:14.280
<v Speaker 3>that made a lot of revenue in the past couple

0:15:14.280 --> 0:15:16.320
<v Speaker 3>of years. So we're looking to see where corporate budgets

0:15:16.320 --> 0:15:18.840
<v Speaker 3>are going, but also in the retail space, how is

0:15:18.880 --> 0:15:22.520
<v Speaker 3>the consumer holding up? The summer is a little bit

0:15:22.640 --> 0:15:26.560
<v Speaker 3>more dry in terms of promotional activity around holidays. You've

0:15:26.560 --> 0:15:29.520
<v Speaker 3>got Memorial Day for Labor Day, so there's a lot

0:15:29.560 --> 0:15:31.640
<v Speaker 3>of those really big chunks of weeks where there's not

0:15:31.680 --> 0:15:33.880
<v Speaker 3>as much promotional activity, and that's where we're going to

0:15:33.920 --> 0:15:35.720
<v Speaker 3>get a truer sense of how the consumer is doing.

0:15:35.760 --> 0:15:38.040
<v Speaker 3>So we'll be having a good lookout for that sort

0:15:38.040 --> 0:15:40.640
<v Speaker 3>of easter to end of Q two.

0:15:40.640 --> 0:15:45.120
<v Speaker 2>Chunk for the back of the office spend are you

0:15:45.200 --> 0:15:48.240
<v Speaker 2>watching specifically, like if that budget grows or just that

0:15:48.280 --> 0:15:51.160
<v Speaker 2>budget stays versus shrinks, or like where it's going to

0:15:51.160 --> 0:15:53.000
<v Speaker 2>actually be going and how the money is diverted.

0:15:54.520 --> 0:15:56.480
<v Speaker 3>It's a sort of all of the above, right, because

0:15:56.520 --> 0:15:58.160
<v Speaker 3>that's all going to tell us a different story. So

0:15:58.200 --> 0:16:00.520
<v Speaker 3>if it is shrinking, that starts to tell us that

0:16:00.560 --> 0:16:04.000
<v Speaker 3>potentially companies are in a spot where they're so concerned

0:16:04.000 --> 0:16:08.560
<v Speaker 3>about their coffers that they are now less concerned about efficiency.

0:16:08.800 --> 0:16:11.240
<v Speaker 3>We think that's a little bit less likely because when

0:16:11.240 --> 0:16:14.480
<v Speaker 3>you've got shareholders, you tend to need to focus on efficiency.

0:16:15.000 --> 0:16:17.440
<v Speaker 3>So we're sort of looking for that stable to growing

0:16:17.960 --> 0:16:21.200
<v Speaker 3>for a number of companies there, their own sort of

0:16:21.200 --> 0:16:24.760
<v Speaker 3>projections are depending on a return to growth. So a

0:16:24.800 --> 0:16:29.320
<v Speaker 3>return of company's desires to have more efficiency. So I

0:16:29.360 --> 0:16:31.480
<v Speaker 3>would if I had to put money on it, I

0:16:31.480 --> 0:16:34.280
<v Speaker 3>would probably say, we're expecting to see on the whole

0:16:34.560 --> 0:16:36.720
<v Speaker 3>plot to growth in that area.

0:16:37.280 --> 0:16:37.600
<v Speaker 4>Shelby.

0:16:37.640 --> 0:16:41.640
<v Speaker 7>Earlier today, we were speaking with the head economists at

0:16:41.680 --> 0:16:44.560
<v Speaker 7>MasterCard to get a sense of kind of how the consumer.

0:16:44.200 --> 0:16:45.880
<v Speaker 3>Is behave shell Meyer.

0:16:46.120 --> 0:16:49.720
<v Speaker 9>Yes, love her, excellent, excellent, We love you too, and

0:16:49.800 --> 0:16:53.080
<v Speaker 9>she she's saying, just the data that they see, the

0:16:53.160 --> 0:16:56.800
<v Speaker 9>consumer is still spending and the consumer looks pretty healthy.

0:16:57.560 --> 0:16:58.440
<v Speaker 4>How do you think about it?

0:17:00.160 --> 0:17:03.560
<v Speaker 3>You know, it's interesting because some of the recent pieces

0:17:03.560 --> 0:17:05.720
<v Speaker 3>that I've read have pointed to the fact that there's

0:17:05.760 --> 0:17:10.120
<v Speaker 3>a big cohort of millennials and young or older rather

0:17:10.240 --> 0:17:12.400
<v Speaker 3>gen z that are coming into the stage of their

0:17:12.400 --> 0:17:15.560
<v Speaker 3>lives where they have to purchase certain necessities. The amount

0:17:15.560 --> 0:17:18.439
<v Speaker 3>of money in life that they spend is just growing

0:17:18.560 --> 0:17:21.000
<v Speaker 3>because it has to. And then when you put on

0:17:21.080 --> 0:17:23.000
<v Speaker 3>top of that the sort of economy that we're in

0:17:23.040 --> 0:17:25.840
<v Speaker 3>where things are more inflationary. We know that we're fighting that.

0:17:25.960 --> 0:17:28.600
<v Speaker 3>Right now, you switsh those two things together and we

0:17:28.640 --> 0:17:30.920
<v Speaker 3>get a picture that looks like a very healthy consumer

0:17:31.280 --> 0:17:35.040
<v Speaker 3>on the top. You know, the superficial most level, and

0:17:35.119 --> 0:17:37.200
<v Speaker 3>as we sort of drill down, we see a sort

0:17:37.240 --> 0:17:40.480
<v Speaker 3>of obligation to spend when we look at the fact

0:17:40.560 --> 0:17:44.160
<v Speaker 3>that retailers of things like shoes, shoes are broadly pretty

0:17:44.160 --> 0:17:46.400
<v Speaker 3>weak right now, and so we think about the fact

0:17:46.400 --> 0:17:48.160
<v Speaker 3>that people are not wanting to pick up those little

0:17:48.200 --> 0:17:51.960
<v Speaker 3>things in the store, those little articles of clothing, you know,

0:17:52.119 --> 0:17:54.160
<v Speaker 3>extra pairs of socks, things like that that you used

0:17:54.160 --> 0:17:56.480
<v Speaker 3>to kind of use to comfort yourself. You drill down

0:17:56.520 --> 0:17:58.119
<v Speaker 3>to that you realize a lot of the spending is

0:17:58.160 --> 0:18:02.240
<v Speaker 3>not so discretionary and healthy in the sense that money

0:18:02.280 --> 0:18:06.600
<v Speaker 3>is being spent, but the discretionary spend not as much.

0:18:06.720 --> 0:18:08.600
<v Speaker 3>So I think we have to really drill down to

0:18:08.600 --> 0:18:10.800
<v Speaker 3>see what the consumer is feeling. How do you play it?

0:18:12.600 --> 0:18:14.479
<v Speaker 3>I think the way to play it is one as

0:18:14.520 --> 0:18:16.320
<v Speaker 3>you meant, there's a way to play it with MasterCard,

0:18:16.760 --> 0:18:19.040
<v Speaker 3>which is they're a toll taker, so you go ahead

0:18:19.119 --> 0:18:23.080
<v Speaker 3>and just frankly take advantage of the fact that cars

0:18:23.080 --> 0:18:25.360
<v Speaker 3>are going to be swite. Another way to play it

0:18:25.440 --> 0:18:27.640
<v Speaker 3>is taking the premium end of the consumer. So when

0:18:27.640 --> 0:18:31.240
<v Speaker 3>we think about companies like Costco, they're offering value, but

0:18:31.280 --> 0:18:33.600
<v Speaker 3>they're offering really sticky value in the way that they're

0:18:33.640 --> 0:18:36.200
<v Speaker 3>a little bit higher on the income schedule. Another way

0:18:36.200 --> 0:18:38.119
<v Speaker 3>to play it is Amazon. You look at the fact

0:18:38.160 --> 0:18:40.720
<v Speaker 3>that they are retail, They've got a strong retail base,

0:18:41.160 --> 0:18:44.120
<v Speaker 3>and then they've also got their aws space, so they

0:18:44.160 --> 0:18:48.280
<v Speaker 3>really rooted themselves pretty deeply inconvenience for both corporate and consumer.

0:18:48.800 --> 0:18:51.320
<v Speaker 3>So I think it really comes down to one companies

0:18:51.359 --> 0:18:54.520
<v Speaker 3>that have deeply rooted themselves across the cycle, and two

0:18:54.800 --> 0:18:57.280
<v Speaker 3>premiumization and three toll takers.

0:18:58.400 --> 0:19:01.200
<v Speaker 4>So I see you you've got cost go there.

0:19:01.440 --> 0:19:04.480
<v Speaker 7>So that kind of to me says you have, you know,

0:19:04.600 --> 0:19:07.480
<v Speaker 7>kind of a fairly constructive call on the consumer. What's

0:19:07.520 --> 0:19:09.880
<v Speaker 7>the feeling behind your costco name?

0:19:11.440 --> 0:19:13.000
<v Speaker 3>Well, one of the things we love about the costco

0:19:13.040 --> 0:19:15.439
<v Speaker 3>business and why it's in TFC and a number of

0:19:15.440 --> 0:19:19.879
<v Speaker 3>our portfolios, is that they really generate a sort of

0:19:19.920 --> 0:19:24.080
<v Speaker 3>annuity type structure. Their primary earnings are really or their

0:19:24.119 --> 0:19:26.560
<v Speaker 3>most stable earnings I should say, are coming from those memberships,

0:19:26.800 --> 0:19:29.640
<v Speaker 3>and they've really figured out a perfect timing on those

0:19:29.640 --> 0:19:32.560
<v Speaker 3>membership increases in such a way that it's almost gentle

0:19:32.640 --> 0:19:35.120
<v Speaker 3>to the customer. They've established a relationship and so when

0:19:35.119 --> 0:19:37.880
<v Speaker 3>it comes people aren't really you know, running for the fences,

0:19:38.200 --> 0:19:40.000
<v Speaker 3>and then on top of that, they've got the best

0:19:40.000 --> 0:19:42.880
<v Speaker 3>cost position in the industry. So we have actually seen

0:19:42.920 --> 0:19:44.840
<v Speaker 3>over the past eighteen months or so when we listen

0:19:44.880 --> 0:19:47.160
<v Speaker 3>in for the calls, they lower prices when they can.

0:19:47.359 --> 0:19:49.480
<v Speaker 3>And I'll even say anecdotally, when I go to Costco,

0:19:49.600 --> 0:19:51.560
<v Speaker 3>I have pointed out to my husband had said, that's

0:19:51.600 --> 0:19:52.240
<v Speaker 3>lower than it was.

0:19:52.240 --> 0:19:52.840
<v Speaker 6>A quarter ago.

0:19:53.280 --> 0:19:56.720
<v Speaker 3>So they are holding up on those promises and being

0:19:56.720 --> 0:19:59.359
<v Speaker 3>able to do that is really really important, and being

0:19:59.359 --> 0:20:01.960
<v Speaker 3>able to sure the consumer who can afford that executive

0:20:01.960 --> 0:20:05.919
<v Speaker 3>membership further solidifies their place in their peer market.

0:20:06.200 --> 0:20:08.840
<v Speaker 2>You also like Amazon, but that's less of a retail play, right,

0:20:08.840 --> 0:20:10.080
<v Speaker 2>that's more of a cloud play.

0:20:11.359 --> 0:20:13.240
<v Speaker 3>A bit, yes, so we do know that they've sort

0:20:13.240 --> 0:20:16.639
<v Speaker 3>of solidified that position in retail, but the cloud play

0:20:16.760 --> 0:20:19.040
<v Speaker 3>is right now in terms of valuation, of course, what's

0:20:19.119 --> 0:20:23.000
<v Speaker 3>really most sensitive for them. And that's also where at

0:20:23.000 --> 0:20:25.879
<v Speaker 3>this point our thesis is sort of tipping towards. So

0:20:26.840 --> 0:20:30.359
<v Speaker 3>the additional growth that we are hinging any sort of

0:20:30.440 --> 0:20:33.480
<v Speaker 3>investment on for Amazon comes from the cloud space rather

0:20:33.520 --> 0:20:36.240
<v Speaker 3>than retail, and so that's what we're predominantly looking out for.

0:20:36.320 --> 0:20:39.680
<v Speaker 3>We're looking for operational leverage there as well as continuing

0:20:39.680 --> 0:20:45.159
<v Speaker 3>to solidify their reputation and continue with innovation. So, you know,

0:20:45.280 --> 0:20:47.840
<v Speaker 3>retail is always going to be a little bit wobbly

0:20:47.880 --> 0:20:49.720
<v Speaker 3>in terms of, you know, any sort of regulations that

0:20:49.760 --> 0:20:52.119
<v Speaker 3>are coming things like that, But on the whole, it

0:20:52.119 --> 0:20:53.919
<v Speaker 3>does seem like the balance between what they do for

0:20:53.960 --> 0:20:57.200
<v Speaker 3>the consumer and their competitive position seems to be sort

0:20:57.240 --> 0:21:01.719
<v Speaker 3>of leveling out. So really the thesis hinges on aws.

0:21:01.320 --> 0:21:06.720
<v Speaker 7>Hey Shelby, who is a typical investor or customer of

0:21:06.800 --> 0:21:08.200
<v Speaker 7>Motley Full Asset Management.

0:21:09.920 --> 0:21:11.960
<v Speaker 3>Yeah, I would say a typical investor would be someone

0:21:12.000 --> 0:21:16.960
<v Speaker 3>that is looking to access high growth names in of

0:21:17.000 --> 0:21:20.520
<v Speaker 3>course you know, global but primarily US markets, but looking

0:21:20.560 --> 0:21:24.679
<v Speaker 3>to do so by stepping outside of the concentration of

0:21:24.800 --> 0:21:28.800
<v Speaker 3>the US market. So even though the portfolio itself and

0:21:28.840 --> 0:21:30.879
<v Speaker 3>an average portfolio for US is going to be fifteen

0:21:30.880 --> 0:21:33.280
<v Speaker 3>to thirty stocks, it's someone who's looking to beat the

0:21:33.280 --> 0:21:36.480
<v Speaker 3>market over the long term, over ten to fifteen years,

0:21:36.520 --> 0:21:40.480
<v Speaker 3>go ahead and build that wealth by making choices outside

0:21:40.600 --> 0:21:43.480
<v Speaker 3>of the sort of status quo. And that doesn't necessarily

0:21:43.520 --> 0:21:45.960
<v Speaker 3>mean that we're just choosing really really niche sectors that

0:21:46.000 --> 0:21:47.960
<v Speaker 3>no one's heard of, but we are looking for those

0:21:48.040 --> 0:21:50.200
<v Speaker 3>high quality companies that are going to focus on cash

0:21:50.240 --> 0:21:53.000
<v Speaker 3>flow and be a bit more resilient to the cycle

0:21:53.560 --> 0:21:57.320
<v Speaker 3>and therefore deliver focusing really on upside capture especially.

0:21:57.520 --> 0:22:00.239
<v Speaker 2>So then to that point, do you not care who

0:22:00.280 --> 0:22:04.600
<v Speaker 2>wins the White House in November? That could definitely influence policy,

0:22:04.680 --> 0:22:08.240
<v Speaker 2>particularly when it comes to climate and environmental laws. But

0:22:08.320 --> 0:22:10.920
<v Speaker 2>in general, are you able to look through that or

0:22:10.960 --> 0:22:11.960
<v Speaker 2>how do you manage it?

0:22:13.680 --> 0:22:15.640
<v Speaker 3>I would say in the short term, it's not something

0:22:15.680 --> 0:22:19.119
<v Speaker 3>that we're integrating into our strategy because it's not something

0:22:19.119 --> 0:22:23.040
<v Speaker 3>that we have control over. In the long term view,

0:22:23.160 --> 0:22:26.280
<v Speaker 3>we understand that there could be some sweeping changes, but

0:22:26.320 --> 0:22:30.200
<v Speaker 3>we do also know that that legislature will take some time.

0:22:30.280 --> 0:22:32.440
<v Speaker 3>So we keep our monitors out. We have our various

0:22:32.480 --> 0:22:36.240
<v Speaker 3>lists and various contacts that we are in touch with,

0:22:36.359 --> 0:22:38.399
<v Speaker 3>calls that we will tune into so that we can

0:22:38.440 --> 0:22:40.880
<v Speaker 3>be on top of things to adjust our models appropriately.

0:22:40.960 --> 0:22:44.359
<v Speaker 3>So I would say that in terms of our strategy,

0:22:44.480 --> 0:22:46.680
<v Speaker 3>we have to sort of be a bit agnostic.

0:22:46.720 --> 0:22:47.080
<v Speaker 6>I can't.

0:22:47.320 --> 0:22:49.640
<v Speaker 3>I don't know that I would say we can care

0:22:49.760 --> 0:22:52.840
<v Speaker 3>because that may do a disservice to our investors to

0:22:52.840 --> 0:22:54.680
<v Speaker 3>say it has to be this for us to succeed.

0:22:55.240 --> 0:22:57.879
<v Speaker 3>We are determined to make sure that we adjust accordingly

0:22:58.359 --> 0:23:00.880
<v Speaker 3>with any regulations or policies that change to make sure

0:23:00.880 --> 0:23:02.880
<v Speaker 3>that we can serve the active investor as best we can.

0:23:03.320 --> 0:23:05.040
<v Speaker 4>All Right, Shelby, thank you so much for joining us.

0:23:05.080 --> 0:23:05.719
<v Speaker 4>Shelby McFadden.

0:23:05.760 --> 0:23:09.480
<v Speaker 7>She's an investment analyst at Motley fool Asset Management. Joining

0:23:09.560 --> 0:23:12.080
<v Speaker 7>us from Alexandria, Virginia.

0:23:12.400 --> 0:23:16.280
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:23:16.359 --> 0:23:18.960
<v Speaker 1>weekdays at ten am Eastern on Apple Card, play in

0:23:19.040 --> 0:23:22.040
<v Speaker 1>Android auto with the Bloomberg Business app, Listen on demand

0:23:22.119 --> 0:23:25.760
<v Speaker 1>wherever you get your podcasts, or watch us live on YouTube.

0:23:26.960 --> 0:23:29.320
<v Speaker 2>This Monday, though, we're going to go outside the Bloomberg

0:23:29.359 --> 0:23:31.200
<v Speaker 2>Intelligence world and take a look at what's going on

0:23:31.520 --> 0:23:34.800
<v Speaker 2>with ETFs. Joining us now is Sean O'Hara, president of Pacer.

0:23:34.920 --> 0:23:38.359
<v Speaker 2>ETFs has forty five billion dollars assets under management. He

0:23:38.480 --> 0:23:42.080
<v Speaker 2>joins us from Pennsylvania. So Sean, we love this topic,

0:23:42.240 --> 0:23:44.919
<v Speaker 2>like who's buying, what, where are the flows? Where are

0:23:44.960 --> 0:23:47.880
<v Speaker 2>they coming out of We just ended the second quarter,

0:23:48.000 --> 0:23:49.920
<v Speaker 2>we're kind of kicking off the back half of the year.

0:23:50.400 --> 0:23:51.320
<v Speaker 2>What's the setup.

0:23:52.680 --> 0:23:54.399
<v Speaker 10>Well, it's the same setup as it's been for the

0:23:54.480 --> 0:23:56.800
<v Speaker 10>last six months to eighteen months, and that is that

0:23:57.000 --> 0:23:59.800
<v Speaker 10>you know, essentially five to seven stocks are really responsible

0:23:59.840 --> 0:24:02.159
<v Speaker 10>for all of the performance. So I just read an

0:24:02.240 --> 0:24:04.080
<v Speaker 10>article this morning that said I Shares had one of

0:24:04.160 --> 0:24:07.080
<v Speaker 10>its biggest NetFlow periods over six months, and I think

0:24:07.160 --> 0:24:10.920
<v Speaker 10>that's mostly driven by people buying the outright the S

0:24:11.000 --> 0:24:13.960
<v Speaker 10>and P five hundred. Obviously, the cues continue to take

0:24:14.000 --> 0:24:16.040
<v Speaker 10>in a lot of money. The one word of caution

0:24:16.240 --> 0:24:18.840
<v Speaker 10>I would say though, is that you know, mostly those

0:24:19.040 --> 0:24:21.680
<v Speaker 10>ETFs to track those broad indexes are meant to be

0:24:22.400 --> 0:24:27.160
<v Speaker 10>diversified portfolios, and what's going on today is the opposite

0:24:27.200 --> 0:24:30.760
<v Speaker 10>of diversification. So although the ETF industry continues to take

0:24:30.840 --> 0:24:34.760
<v Speaker 10>in almost record flows across the board, in these big

0:24:34.880 --> 0:24:38.560
<v Speaker 10>broad market market cap weighted ETFs, I think investors need

0:24:38.680 --> 0:24:42.320
<v Speaker 10>to be a little bit wary of the exposures. You have,

0:24:43.280 --> 0:24:46.480
<v Speaker 10>forty something percent of the cues is like seven names,

0:24:46.560 --> 0:24:50.520
<v Speaker 10>and so as it goes up, we could just as

0:24:50.600 --> 0:24:53.840
<v Speaker 10>easily see things come down as people start to view

0:24:53.920 --> 0:24:55.800
<v Speaker 10>some of these big tech names and these big AI

0:24:55.920 --> 0:24:59.520
<v Speaker 10>players as more closely or more close to fairly valued.

0:25:00.200 --> 0:25:03.280
<v Speaker 7>So how concerned are you about this market and the

0:25:03.320 --> 0:25:04.520
<v Speaker 7>concentration in this market.

0:25:05.520 --> 0:25:08.320
<v Speaker 10>Well, you know, I'm a believer in AI. I think

0:25:08.480 --> 0:25:10.320
<v Speaker 10>you don't have to be all in one way or

0:25:10.400 --> 0:25:13.440
<v Speaker 10>the other. I think, you know, perhaps from my perspective,

0:25:13.480 --> 0:25:15.840
<v Speaker 10>I'd rather be a little more balanced. I have exposure

0:25:15.880 --> 0:25:19.159
<v Speaker 10>to the AI trade in various different forms, but I

0:25:19.240 --> 0:25:22.879
<v Speaker 10>also have some lower PE, high higher quality stuff that

0:25:23.280 --> 0:25:25.359
<v Speaker 10>you know is kicking off nice dividends, and so you

0:25:25.440 --> 0:25:28.360
<v Speaker 10>can sort of wait and see what happens, and you're

0:25:28.480 --> 0:25:31.840
<v Speaker 10>less susceptible to a big drawdown. If let's say the

0:25:31.920 --> 0:25:34.520
<v Speaker 10>FED decides not to cut, or we get to the

0:25:34.600 --> 0:25:38.399
<v Speaker 10>third quarter earnings reports and those numbers have now been

0:25:38.440 --> 0:25:41.680
<v Speaker 10>adjusted high and higher, and somebody stubs their toe. You

0:25:41.760 --> 0:25:45.159
<v Speaker 10>could see a big reaction to that. So one of

0:25:45.240 --> 0:25:47.960
<v Speaker 10>the things that I think makes sense for people for

0:25:48.080 --> 0:25:51.440
<v Speaker 10>part of their portfolio is to lower the overall portfolios

0:25:51.480 --> 0:25:54.560
<v Speaker 10>PE before the market ultimately does it to them, which

0:25:54.600 --> 0:25:57.000
<v Speaker 10>it will at some point. You know, the SMP is

0:25:57.000 --> 0:25:59.479
<v Speaker 10>still trading at twenty two to twenty four times earnings,

0:25:59.520 --> 0:26:02.119
<v Speaker 10>in the nasty is over thirty five times earnings, and

0:26:02.240 --> 0:26:05.280
<v Speaker 10>those numbers, although they make us all feel happy as

0:26:05.320 --> 0:26:08.879
<v Speaker 10>we're riding them up, eventually the market is sort of

0:26:09.520 --> 0:26:12.399
<v Speaker 10>going to revert back to that mean, And those numbers

0:26:12.440 --> 0:26:15.320
<v Speaker 10>are somewhere between twenty and thirty percent above the historical

0:26:15.640 --> 0:26:17.440
<v Speaker 10>long term averages. So I think it just makes sense

0:26:17.480 --> 0:26:19.479
<v Speaker 10>maybe to be a little bit more barbelled as opposed

0:26:19.520 --> 0:26:20.920
<v Speaker 10>to all in on one trade.

0:26:21.560 --> 0:26:23.960
<v Speaker 2>So does that imply then that if you're going to

0:26:24.160 --> 0:26:26.000
<v Speaker 2>barbel at two, do you need to barbel it across

0:26:26.119 --> 0:26:27.560
<v Speaker 2>as a class? As we've seen a lot of money

0:26:27.560 --> 0:26:30.800
<v Speaker 2>contine to flow into bond ETFs, what are you noticing there?

0:26:31.920 --> 0:26:35.040
<v Speaker 10>Well, barbelling, for example, you could just as easily buy

0:26:35.119 --> 0:26:37.000
<v Speaker 10>the equal weighted version of the S and P five

0:26:37.080 --> 0:26:39.040
<v Speaker 10>hundred next to the cap weighted and that sort of

0:26:39.040 --> 0:26:41.919
<v Speaker 10>would give you that barbelle right, You'd have more exposure

0:26:41.960 --> 0:26:43.640
<v Speaker 10>to the bottom half of the S and P five

0:26:43.720 --> 0:26:45.760
<v Speaker 10>hundred and less exposure to the top half. And there's

0:26:45.760 --> 0:26:49.080
<v Speaker 10>an equal weighted version of the queues as well. In

0:26:49.200 --> 0:26:52.760
<v Speaker 10>fixed income land, I think people are mostly pretty satisfied

0:26:52.840 --> 0:26:55.480
<v Speaker 10>just sort of sitting in short term treasuries at five percent.

0:26:55.720 --> 0:26:57.440
<v Speaker 10>There's been a lot of money going into those types

0:26:57.480 --> 0:27:00.640
<v Speaker 10>of vehicles. I don't think on the fixed income side

0:27:00.680 --> 0:27:02.840
<v Speaker 10>that we're doing sort of what we've been doing on

0:27:02.920 --> 0:27:05.760
<v Speaker 10>the equity side, and that is we're underpricing risk. I mean,

0:27:05.840 --> 0:27:09.159
<v Speaker 10>spreads are fairly narrow on a historic basis, and so

0:27:09.680 --> 0:27:12.400
<v Speaker 10>you're not getting paid what you might normally get paid

0:27:12.440 --> 0:27:15.600
<v Speaker 10>to go out the credit scale, maybe to you know,

0:27:15.840 --> 0:27:19.240
<v Speaker 10>high grade corporates or to high yield and so I

0:27:19.320 --> 0:27:21.200
<v Speaker 10>think if you can just collect five percent in the

0:27:21.240 --> 0:27:24.199
<v Speaker 10>short run for that money that you maybe ultimately will deploy,

0:27:25.000 --> 0:27:27.119
<v Speaker 10>makes a little bit of sense. We're seeing some flows

0:27:27.160 --> 0:27:30.680
<v Speaker 10>into international and global. I think that's really just a

0:27:30.800 --> 0:27:33.879
<v Speaker 10>rebalancing trade. The last five years have been dominated so

0:27:34.000 --> 0:27:36.919
<v Speaker 10>much by large cap us that I think investors' portfolios

0:27:36.960 --> 0:27:39.200
<v Speaker 10>have gotten out of balance a little bit. And so

0:27:39.280 --> 0:27:41.280
<v Speaker 10>I think people are starting to push more money into

0:27:41.320 --> 0:27:44.199
<v Speaker 10>global and international. And then we've seen quite a bit

0:27:44.200 --> 0:27:46.840
<v Speaker 10>of money go into small cap for the same reason

0:27:46.920 --> 0:27:49.720
<v Speaker 10>that and that is that you know, if because of

0:27:49.800 --> 0:27:54.359
<v Speaker 10>this massive performance advantage of large cap us versus everything else,

0:27:54.880 --> 0:27:56.840
<v Speaker 10>portfolios have gotten out of whack, and I think people

0:27:56.880 --> 0:27:59.639
<v Speaker 10>are wise to sort of rebalance their portfolios that are

0:27:59.680 --> 0:28:03.240
<v Speaker 10>more in line with what a longer term objective might dictate.

0:28:04.200 --> 0:28:07.040
<v Speaker 4>Twenty twenty four is an election year. How concerned. Are

0:28:07.080 --> 0:28:07.480
<v Speaker 4>you about that?

0:28:07.600 --> 0:28:10.800
<v Speaker 7>From a I guess a stability or volatility perspective for

0:28:11.640 --> 0:28:13.720
<v Speaker 7>markets and maybe how to position yourself.

0:28:15.440 --> 0:28:18.479
<v Speaker 10>Well, you have two different agendas, right You have one

0:28:18.560 --> 0:28:20.640
<v Speaker 10>agenda that you know is going to be more government

0:28:20.680 --> 0:28:24.160
<v Speaker 10>and higher taxes theoretically, and you have another agenda that's

0:28:24.200 --> 0:28:28.320
<v Speaker 10>sort of less regulatory oversight and lower taxes. And I

0:28:28.359 --> 0:28:31.840
<v Speaker 10>think the market will be volatile between now an election day,

0:28:31.880 --> 0:28:35.960
<v Speaker 10>as you know, these candidate surge and fall in the polling,

0:28:36.440 --> 0:28:38.280
<v Speaker 10>and so it'll be interesting to see. I don't think

0:28:38.320 --> 0:28:41.160
<v Speaker 10>that now is the time to start really putting on

0:28:41.320 --> 0:28:45.200
<v Speaker 10>those election type vets into a portfolio, because there's so

0:28:45.520 --> 0:28:48.720
<v Speaker 10>much time between now and November. But I think as

0:28:48.760 --> 0:28:51.120
<v Speaker 10>we get closer to November and people start to really

0:28:51.200 --> 0:28:54.360
<v Speaker 10>develop a clear view of who they believe will ultimately

0:28:54.440 --> 0:28:57.520
<v Speaker 10>win the election, I think investors will start to position

0:28:57.640 --> 0:28:58.840
<v Speaker 10>portfolios accordingly.

0:28:59.280 --> 0:29:01.040
<v Speaker 2>What's the one where we let you go, what's like

0:29:01.120 --> 0:29:03.520
<v Speaker 2>a risk that no one's talking about or not a

0:29:03.560 --> 0:29:05.080
<v Speaker 2>lot of people are talking about that you see in

0:29:05.120 --> 0:29:05.840
<v Speaker 2>the market right now?

0:29:07.320 --> 0:29:09.720
<v Speaker 10>Well, I said what I think is the biggest risk

0:29:09.760 --> 0:29:11.480
<v Speaker 10>in the market, and that is that we're highly, highly

0:29:11.600 --> 0:29:14.920
<v Speaker 10>concentrated and this happens from time to time. It just

0:29:15.080 --> 0:29:17.720
<v Speaker 10>never lasts. We don't know how long this will last,

0:29:17.760 --> 0:29:20.320
<v Speaker 10>but it's not going to last for five years. It's

0:29:20.360 --> 0:29:24.040
<v Speaker 10>been almost two years worth of this massive imbalance in

0:29:24.160 --> 0:29:27.920
<v Speaker 10>terms of the weight in portfolios across the broad market indexes.

0:29:27.960 --> 0:29:32.040
<v Speaker 10>And I think that's one risk that Look, we're human beings, right,

0:29:32.240 --> 0:29:35.680
<v Speaker 10>and so we get ephic, and when things are going

0:29:35.720 --> 0:29:38.360
<v Speaker 10>well and we're making money on investments, we sort of

0:29:38.520 --> 0:29:40.960
<v Speaker 10>ignore some of the potential pitfalls. And so I think

0:29:41.040 --> 0:29:43.760
<v Speaker 10>the big risk is that we don't get as an

0:29:43.760 --> 0:29:46.560
<v Speaker 10>aggressive fed approach, and that we get into the third

0:29:46.640 --> 0:29:49.920
<v Speaker 10>quarter in the fourth quarter as those tech names are

0:29:49.960 --> 0:29:52.800
<v Speaker 10>sort of running uphill right. Their earnings have been growing,

0:29:53.200 --> 0:29:56.000
<v Speaker 10>but their forecasted earnings are supposed to be higher, and

0:29:56.280 --> 0:29:58.800
<v Speaker 10>if somewhere along the way and by the way, it's

0:29:58.880 --> 0:30:01.120
<v Speaker 10>much more difficult for them to make those increase earnings

0:30:01.200 --> 0:30:04.120
<v Speaker 10>numbers because of the massive size of these companies. That

0:30:04.240 --> 0:30:06.800
<v Speaker 10>could potentially be a risk that people are ignoring right now.

0:30:07.440 --> 0:30:08.960
<v Speaker 7>All right, Sean, thank you so much for joining us.

0:30:09.000 --> 0:30:13.320
<v Speaker 7>Really appreciated. Sean O'Hara, president of pacer ETFs. They're out

0:30:13.320 --> 0:30:17.080
<v Speaker 7>there on the main line of Philadelphia, Malvern. Beautiful part

0:30:17.240 --> 0:30:19.680
<v Speaker 7>of the world out there, right across the road from

0:30:19.760 --> 0:30:23.240
<v Speaker 7>the Home Vanguard Complex. All that kind of index money

0:30:23.320 --> 0:30:25.480
<v Speaker 7>is all out. There's smart folks down there in great

0:30:25.520 --> 0:30:26.240
<v Speaker 7>Affhilly area.

0:30:32.120 --> 0:30:35.960
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:30:36.080 --> 0:30:39.600
<v Speaker 1>weekdays at ten am Eastern on applecar Play and Android

0:30:39.640 --> 0:30:42.360
<v Speaker 1>Auto with the Bloomberg Business app. You can also listen

0:30:42.520 --> 0:30:45.600
<v Speaker 1>live on Amazon Alexa from our flagship New York station.

0:30:46.000 --> 0:30:50.000
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty Alex.

0:30:50.080 --> 0:30:52.320
<v Speaker 7>You know me, There's very few places in the world

0:30:52.480 --> 0:30:55.080
<v Speaker 7>that would get me away from my beloved Jersey Shore. True,

0:30:55.160 --> 0:30:59.040
<v Speaker 7>but the low country of South Carolina is definitely in

0:30:59.120 --> 0:31:02.560
<v Speaker 7>the running. It is beautiful down there, nice people, beautiful

0:31:02.600 --> 0:31:04.160
<v Speaker 7>part of the world. And that's our next guest is

0:31:04.240 --> 0:31:07.280
<v Speaker 7>Jared Dillion. He's the founder of The Daily Dirt NP.

0:31:07.880 --> 0:31:10.720
<v Speaker 7>Jared main ways to go on this thing. I think

0:31:10.840 --> 0:31:13.239
<v Speaker 7>for a lot of investors as they look at these

0:31:13.280 --> 0:31:15.000
<v Speaker 7>stock markets, they look at their four to one k

0:31:15.840 --> 0:31:18.480
<v Speaker 7>they're doing pretty well. But boy, there's a lot of

0:31:18.520 --> 0:31:20.760
<v Speaker 7>headwines out there, and for me, maybe the biggest one

0:31:20.880 --> 0:31:23.840
<v Speaker 7>is the concentration risk in this market. It gets me

0:31:23.920 --> 0:31:26.040
<v Speaker 7>nervous when I pull out those Magnificent seven that my

0:31:26.120 --> 0:31:27.200
<v Speaker 7>market's not doing a whole lot.

0:31:27.560 --> 0:31:28.400
<v Speaker 4>How do you think about that?

0:31:29.840 --> 0:31:31.480
<v Speaker 11>Yeah, I think about it the same way as you

0:31:31.600 --> 0:31:35.960
<v Speaker 11>do if you look at Actually, you know, funny you mentioned.

0:31:37.040 --> 0:31:39.440
<v Speaker 11>I was on Twitter a couple of weeks ago and

0:31:39.600 --> 0:31:45.360
<v Speaker 11>somebody had posted a paragraph from an interview with Stan Druckenmiller,

0:31:46.080 --> 0:31:49.000
<v Speaker 11>and this was about the crash of nineteen eighty seven,

0:31:49.680 --> 0:31:54.000
<v Speaker 11>and Stan Druckenmiller had cited a couple of reasons why

0:31:54.760 --> 0:31:57.520
<v Speaker 11>he got bearish before the crash of nineteen eighty seven,

0:31:58.480 --> 0:32:00.640
<v Speaker 11>and one of them was the constant creation at the

0:32:00.760 --> 0:32:03.720
<v Speaker 11>time was the fact that the market was being led

0:32:03.920 --> 0:32:07.440
<v Speaker 11>by just a handful of names. And if you go

0:32:07.560 --> 0:32:11.000
<v Speaker 11>back in history at all these major tops, that usually

0:32:11.160 --> 0:32:14.240
<v Speaker 11>co occurs with the top is that you do have

0:32:14.520 --> 0:32:17.200
<v Speaker 11>extreme concentration, and we're certainly having that today.

0:32:18.040 --> 0:32:20.080
<v Speaker 2>So what does that then mean? I mean, just because

0:32:20.680 --> 0:32:23.560
<v Speaker 2>history doesn't always repeat at rhymes that whole thing, which

0:32:23.640 --> 0:32:27.120
<v Speaker 2>like I also roll my eyes at that too, And

0:32:27.240 --> 0:32:29.040
<v Speaker 2>what that looks like. No one's going to doubt that

0:32:29.120 --> 0:32:30.880
<v Speaker 2>we're in some kind of bubble, but no one knows

0:32:30.920 --> 0:32:32.960
<v Speaker 2>what the bubble winds up looking like and how it bursts,

0:32:32.960 --> 0:32:34.760
<v Speaker 2>and that puts people in a really big buying if

0:32:34.760 --> 0:32:35.680
<v Speaker 2>they're trying to make money.

0:32:37.160 --> 0:32:39.520
<v Speaker 11>Well, the way I look at this is that the

0:32:39.680 --> 0:32:44.280
<v Speaker 11>cost to protect a portfolio that looks like the S

0:32:44.360 --> 0:32:47.680
<v Speaker 11>and P five hundred is the lowest that it has

0:32:47.800 --> 0:32:51.880
<v Speaker 11>been since twenty nineteen. If you go back towards the

0:32:52.000 --> 0:32:55.640
<v Speaker 11>end of twenty nineteen, options became very cheap, and then

0:32:55.680 --> 0:32:59.560
<v Speaker 11>you had the pandemic in twenty twenty and they exploded

0:32:59.600 --> 0:33:03.440
<v Speaker 11>in value. You this is the cheapest that protection has

0:33:03.600 --> 0:33:07.800
<v Speaker 11>been in the last five years. So you know, a

0:33:07.920 --> 0:33:10.680
<v Speaker 11>day that I think about in particular is February twenty seventh,

0:33:10.800 --> 0:33:14.600
<v Speaker 11>two thousand and seven. That was the day that China

0:33:15.280 --> 0:33:19.040
<v Speaker 11>raised reserve requirements and the ABX dropped by ten points

0:33:19.560 --> 0:33:22.600
<v Speaker 11>and the VICS exploded from ten to twenty in a day.

0:33:23.560 --> 0:33:26.920
<v Speaker 11>Usually when you transition out of low ball regimes into

0:33:26.960 --> 0:33:29.840
<v Speaker 11>a high ball regimes, it is a very violent move.

0:33:31.280 --> 0:33:33.800
<v Speaker 7>So, Jared, we're going to be starting earnings at the

0:33:33.880 --> 0:33:35.160
<v Speaker 7>end of this week. We have the some of the

0:33:35.200 --> 0:33:39.760
<v Speaker 7>airlines and then the big banks on Friday. Is this

0:33:39.880 --> 0:33:43.000
<v Speaker 7>earning season a catalyst or a potential risk for this market?

0:33:43.040 --> 0:33:43.440
<v Speaker 6>Do you think.

0:33:44.920 --> 0:33:46.640
<v Speaker 11>I don't think it's much of a risk. You know,

0:33:46.800 --> 0:33:52.040
<v Speaker 11>it's it's funny we've gotten we've gotten a slowdown in

0:33:52.080 --> 0:33:54.520
<v Speaker 11>the economic data that has happened for the last month

0:33:54.640 --> 0:33:57.440
<v Speaker 11>or so. Really, the only strong piece of economic data

0:33:57.520 --> 0:34:01.800
<v Speaker 11>we've gotten in a while was last month's payroll report,

0:34:01.880 --> 0:34:04.800
<v Speaker 11>which came in at two hundred and seventy thousand, which

0:34:04.880 --> 0:34:08.919
<v Speaker 11>then was revised lower this month. J Powell last week

0:34:09.120 --> 0:34:13.200
<v Speaker 11>was commenting on how he's seeing disinflationary forces. I think

0:34:13.320 --> 0:34:17.400
<v Speaker 11>earnings are a lagging indicator, and I think that the

0:34:17.480 --> 0:34:20.200
<v Speaker 11>economy is slowing down, but it's I don't think it's

0:34:20.239 --> 0:34:22.000
<v Speaker 11>going to show up in this quarter's earnings.

0:34:23.520 --> 0:34:27.439
<v Speaker 2>Do you think that for investors it's going to matter

0:34:27.640 --> 0:34:31.080
<v Speaker 2>more how when the Fed starts cutting, what the results

0:34:31.120 --> 0:34:34.160
<v Speaker 2>of the presidential election are, or what earnings, particularly from

0:34:34.160 --> 0:34:35.719
<v Speaker 2>the AI names deliver this quarter.

0:34:37.360 --> 0:34:39.640
<v Speaker 11>I think the biggest factor out of the three that

0:34:39.719 --> 0:34:42.640
<v Speaker 11>you mentioned is the presidential election. I mean that's going

0:34:42.719 --> 0:34:46.800
<v Speaker 11>to determine the path for monetary policy going forward in

0:34:46.840 --> 0:34:51.520
<v Speaker 11>twenty twenty five, in twenty twenty six, and if if

0:34:51.960 --> 0:34:55.920
<v Speaker 11>Trump gets re elected in November, then I think what

0:34:56.120 --> 0:34:59.920
<v Speaker 11>you're going to see is probably a rate cut cycle

0:35:00.680 --> 0:35:04.799
<v Speaker 11>that lasts throughout twenty twenty five. You might see one

0:35:04.880 --> 0:35:07.520
<v Speaker 11>hundred to one hundred and fifty basis points of great cuts.

0:35:08.120 --> 0:35:10.120
<v Speaker 11>I think if Biden gets re elected, I think it's

0:35:10.200 --> 0:35:11.680
<v Speaker 11>more of the same. I think it's more of a

0:35:11.800 --> 0:35:16.240
<v Speaker 11>higher for longer trade. So yeah, for sure, the election

0:35:16.400 --> 0:35:17.879
<v Speaker 11>is going to be the biggest catalyst there.

0:35:19.000 --> 0:35:20.200
<v Speaker 4>Jared, what do you again?

0:35:20.239 --> 0:35:23.239
<v Speaker 7>We've talked about the concentration risk here and if I

0:35:23.280 --> 0:35:24.839
<v Speaker 7>don't know, I guess somebody wants to be brave enough

0:35:24.880 --> 0:35:26.400
<v Speaker 7>to try to break away from that and look to

0:35:26.520 --> 0:35:29.480
<v Speaker 7>other areas of the market. Do you see opportunities in

0:35:29.560 --> 0:35:31.520
<v Speaker 7>other areas of the market, whether it be a valuation

0:35:31.840 --> 0:35:34.520
<v Speaker 7>entry point or whether it's just some parts of the

0:35:34.560 --> 0:35:36.120
<v Speaker 7>market are just kind of mispriced.

0:35:37.840 --> 0:35:39.200
<v Speaker 1>Well, I think I think the.

0:35:39.280 --> 0:35:44.320
<v Speaker 11>Biggest opportunity is some kind of reversion in the style

0:35:44.440 --> 0:35:48.840
<v Speaker 11>box trade. If you know, we've had large cap growth

0:35:48.960 --> 0:35:53.279
<v Speaker 11>outperforming small cap value for the last twenty years, and

0:35:53.680 --> 0:35:56.839
<v Speaker 11>you know, I started my career in nineteen ninety nine

0:35:57.560 --> 0:36:00.600
<v Speaker 11>and that was also a time with large growth was

0:36:00.640 --> 0:36:05.080
<v Speaker 11>outperforming small cap value. But when small cap value turned

0:36:05.400 --> 0:36:07.520
<v Speaker 11>around two thousand and one or two thousand and two.

0:36:08.239 --> 0:36:10.640
<v Speaker 11>That was a really big move and it made the

0:36:10.760 --> 0:36:14.480
<v Speaker 11>careers of a lot of investors. So I think if

0:36:14.520 --> 0:36:16.680
<v Speaker 11>you can time that right, if you can catch that,

0:36:17.400 --> 0:36:18.920
<v Speaker 11>then that's a really big opportunity.

0:36:19.239 --> 0:36:21.880
<v Speaker 2>I mean, I feel like, yes, how like what are

0:36:21.880 --> 0:36:23.319
<v Speaker 2>the sign I mean, mister, are both of you guys

0:36:23.320 --> 0:36:24.799
<v Speaker 2>who've been in the market for a while, like, how

0:36:24.840 --> 0:36:26.759
<v Speaker 2>do you time that? Because I feel like everyone's waiting

0:36:26.800 --> 0:36:29.600
<v Speaker 2>for small caps to have their moment, slash value to

0:36:29.680 --> 0:36:31.680
<v Speaker 2>have their moment, and that moment.

0:36:31.640 --> 0:36:32.520
<v Speaker 3>Is like fleeting.

0:36:32.640 --> 0:36:34.480
<v Speaker 2>It's like, here's a week and then see you later.

0:36:35.920 --> 0:36:38.399
<v Speaker 11>Yeah, that's exactly what it's been. You've had these You've

0:36:38.440 --> 0:36:41.120
<v Speaker 11>had these sort of blips along the way where value

0:36:41.160 --> 0:36:43.640
<v Speaker 11>outperforms and then it goes back to getting killed again.

0:36:43.920 --> 0:36:46.400
<v Speaker 11>I don't really have the answer to that, although you know,

0:36:47.120 --> 0:36:50.680
<v Speaker 11>I will say that the average stock in the S

0:36:50.760 --> 0:36:54.240
<v Speaker 11>and P five hundred is not super expensive. The median

0:36:54.360 --> 0:36:57.719
<v Speaker 11>stock in the SMP is about in eighteen pe, which

0:36:57.880 --> 0:37:00.960
<v Speaker 11>you know is pretty reasonable over time. It's really a

0:37:01.080 --> 0:37:03.839
<v Speaker 11>handful of stocks on the high end that have gotten

0:37:03.920 --> 0:37:04.759
<v Speaker 11>really expensive.

0:37:06.640 --> 0:37:09.879
<v Speaker 7>So Jared Alex and I were just discussing a story

0:37:09.880 --> 0:37:13.480
<v Speaker 7>in the Bloomberg Turmoil about how younger people are beginning

0:37:13.520 --> 0:37:16.280
<v Speaker 7>to trade at a much younger age. So, for example,

0:37:16.400 --> 0:37:19.359
<v Speaker 7>gen Z started investing when they're nineteen on average, that's

0:37:19.360 --> 0:37:22.239
<v Speaker 7>according to Charles Schwab. That compares to thirty two for

0:37:22.360 --> 0:37:24.640
<v Speaker 7>gen X and thirty five for baby boomers. So people

0:37:24.640 --> 0:37:27.520
<v Speaker 7>are getting into the market a lot younger. Are you

0:37:27.640 --> 0:37:30.000
<v Speaker 7>seeing that in your business, in your newsletter business and

0:37:30.040 --> 0:37:30.759
<v Speaker 7>your commentaries.

0:37:31.920 --> 0:37:32.920
<v Speaker 5>Well, it's funny.

0:37:32.640 --> 0:37:37.160
<v Speaker 11>Because in my spare time, I'm also an adjunct professor

0:37:37.280 --> 0:37:41.239
<v Speaker 11>at Coastal Carolina University, and I teach these young people,

0:37:42.000 --> 0:37:45.120
<v Speaker 11>and I would say that jibes with my experience. I've

0:37:45.360 --> 0:37:49.160
<v Speaker 11>you know, in my last class, I would say about

0:37:49.320 --> 0:37:52.120
<v Speaker 11>forty to fifty percent of the class had brokerage accounts.

0:37:52.920 --> 0:37:54.759
<v Speaker 11>They had no idea what they were doing. I mean,

0:37:54.800 --> 0:37:59.000
<v Speaker 11>they were just screwing around, but they but they and

0:37:59.080 --> 0:38:01.920
<v Speaker 11>a lot of them tradeto by the way. Yeah, so

0:38:02.520 --> 0:38:05.880
<v Speaker 11>it's a mixture of crypto and in video and stuff

0:38:06.000 --> 0:38:08.799
<v Speaker 11>like that. But yeah, they are starting at a younger age.

0:38:09.040 --> 0:38:10.400
<v Speaker 2>Is this like a good thing or a bad thing?

0:38:10.440 --> 0:38:13.000
<v Speaker 2>We were debating this earlier, Like, I mean, it's a

0:38:13.040 --> 0:38:15.000
<v Speaker 2>good way to lose money, but isn't it also good

0:38:15.040 --> 0:38:17.280
<v Speaker 2>to kind of make money and be and take control

0:38:17.320 --> 0:38:19.000
<v Speaker 2>of your finances. Like, what do you think about that?

0:38:20.360 --> 0:38:22.239
<v Speaker 11>Well, I think it's a I think it's a good thing.

0:38:22.360 --> 0:38:25.080
<v Speaker 11>But I don't think anybody's taking control over their finances.

0:38:25.160 --> 0:38:27.680
<v Speaker 11>I think what they're doing is learning. I think they're

0:38:27.800 --> 0:38:31.680
<v Speaker 11>learning how to invest, and they're making mistakes in early

0:38:31.800 --> 0:38:34.440
<v Speaker 11>age when they can afford to make mistakes. If they

0:38:34.600 --> 0:38:38.400
<v Speaker 11>lose eight hundred bucks on video or some crypto token,

0:38:38.880 --> 0:38:42.520
<v Speaker 11>there really are no consequences. The consequences are if you

0:38:42.600 --> 0:38:45.360
<v Speaker 11>start investing later and you're investing real money and you

0:38:45.440 --> 0:38:48.080
<v Speaker 11>make mistakes, then then that's that's hard to reverse.

0:38:48.960 --> 0:38:51.880
<v Speaker 4>All right, Jared, thanks so much for joining us. Jared Dillon.

0:38:51.960 --> 0:38:55.680
<v Speaker 7>He's the founder of the Daily Dirt nep, a financial

0:38:56.080 --> 0:38:58.600
<v Speaker 7>column and or money letter that goes out.

0:38:58.760 --> 0:39:00.399
<v Speaker 4>It's been doing that for quite some time.

0:39:02.239 --> 0:39:06.120
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:39:06.239 --> 0:39:09.760
<v Speaker 1>weekdays at ten am Eastern on applecar Play and Android

0:39:09.800 --> 0:39:12.520
<v Speaker 1>Auto with the Bloomberg Business app. You can also listen

0:39:12.680 --> 0:39:15.719
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0:39:16.120 --> 0:39:18.880
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0:39:19.840 --> 0:39:22.520
<v Speaker 2>We take it to Bloomberg n EF that research is

0:39:22.560 --> 0:39:26.799
<v Speaker 2>also awesome. They cover commodities, power, transport, industry, buildings, AG

0:39:27.000 --> 0:39:31.800
<v Speaker 2>sectors as well as cost cutting technologies and sustainability issues

0:39:31.840 --> 0:39:34.280
<v Speaker 2>and the goal is to help business, finance, and governments

0:39:34.640 --> 0:39:37.760
<v Speaker 2>navigate the change as we move towards a green future.

0:39:38.560 --> 0:39:41.480
<v Speaker 2>Speaking of let's go to green. Martin Tangler is head

0:39:41.520 --> 0:39:45.239
<v Speaker 2>of green Hydrogen over at Bloomberg and EF and he

0:39:45.400 --> 0:39:48.120
<v Speaker 2>joins us. Now, Martin, I'm just asking for Paul, what's

0:39:48.200 --> 0:39:49.040
<v Speaker 2>green hydrogen?

0:39:51.120 --> 0:39:53.200
<v Speaker 8>So just to give you a correction, I'm the head

0:39:53.200 --> 0:39:55.040
<v Speaker 8>of hydrogen research, not just green hydrogen.

0:39:55.080 --> 0:39:56.120
<v Speaker 2>Okay, good to know.

0:39:56.320 --> 0:39:56.719
<v Speaker 6>We like that.

0:39:58.239 --> 0:40:03.200
<v Speaker 8>Green hydrogen is one way of producing hydrogen via electrolysis.

0:40:03.320 --> 0:40:08.440
<v Speaker 8>So that's splitting water into oxygen and hydrogen using green electricity.

0:40:08.560 --> 0:40:09.800
<v Speaker 8>So that's what green hydroen is.

0:40:10.960 --> 0:40:16.399
<v Speaker 7>So explain to us where this technology green hydrogen? Where

0:40:16.480 --> 0:40:19.280
<v Speaker 7>are we in terms of the development of this technology.

0:40:20.840 --> 0:40:22.880
<v Speaker 6>Yeah, so this is a really.

0:40:24.160 --> 0:40:27.480
<v Speaker 8>It's an old technology. At its core, we've used it

0:40:27.640 --> 0:40:30.239
<v Speaker 8>for more than one hundred years. We've done electrolysis of

0:40:30.360 --> 0:40:34.960
<v Speaker 8>breaking up water molecules into hydrogen oxygen. What's new though,

0:40:35.600 --> 0:40:39.919
<v Speaker 8>is that this time we want to use green electricity

0:40:40.120 --> 0:40:44.239
<v Speaker 8>in order to reduce the emissions from the production of

0:40:44.760 --> 0:40:48.160
<v Speaker 8>what's called gray hydrogen. Gray hydrogen being hydrogen made from

0:40:48.160 --> 0:40:53.399
<v Speaker 8>fossil fuels without any capturing of the resulting CO two,

0:40:53.440 --> 0:40:55.480
<v Speaker 8>which is how we might make the vast majority of

0:40:55.520 --> 0:40:59.359
<v Speaker 8>the hydrogen today, and many countries, many governments have been

0:40:59.480 --> 0:41:02.840
<v Speaker 8>incentive devising the production of green and sometimes also so

0:41:03.000 --> 0:41:06.960
<v Speaker 8>called blue hydrogen that's gray with carbon capture and storage

0:41:06.960 --> 0:41:10.799
<v Speaker 8>attached to that, so that we can decarbonize a deproduction

0:41:11.440 --> 0:41:14.759
<v Speaker 8>of the gray hydrogen that we already produced today one

0:41:14.800 --> 0:41:17.000
<v Speaker 8>hundred million tons. It's a lot of hydrogen we make,

0:41:17.520 --> 0:41:20.680
<v Speaker 8>and also to use hydrogen in some other sectors to

0:41:20.800 --> 0:41:24.799
<v Speaker 8>decarbonize things like steel production, for example, or shipping where

0:41:24.880 --> 0:41:26.520
<v Speaker 8>it's really hard to do electrification.

0:41:27.880 --> 0:41:31.160
<v Speaker 2>Why do we want hydrogen? It is very expensive to split.

0:41:31.520 --> 0:41:33.600
<v Speaker 2>It is more expensive if you are going to split

0:41:33.680 --> 0:41:37.480
<v Speaker 2>a hydrogen and oxygen using renewable energy.

0:41:37.600 --> 0:41:38.560
<v Speaker 3>So why do we want it?

0:41:38.640 --> 0:41:40.320
<v Speaker 2>What's the end product? So awesome?

0:41:42.000 --> 0:41:45.040
<v Speaker 8>Yeah, So we want it, as I've said, in order

0:41:45.120 --> 0:41:49.600
<v Speaker 8>to reduce emissions. That's the only reason honestly. Today, making

0:41:49.680 --> 0:41:53.160
<v Speaker 8>green hydrogen, as you said, Alex, is more expensive than

0:41:53.239 --> 0:41:56.279
<v Speaker 8>making gray hydrogen, and in turn making gray hydrogen is

0:41:56.320 --> 0:41:58.839
<v Speaker 8>more expensive than using fossil fuels because hydrogen is made

0:41:59.080 --> 0:42:01.400
<v Speaker 8>gray hydrogen is made from those fossil fuels. So we

0:42:01.520 --> 0:42:04.600
<v Speaker 8>only use hydrogen in sectors where it is required for

0:42:04.680 --> 0:42:08.440
<v Speaker 8>the chemical properties of it today, So that's production of fertilizers,

0:42:08.840 --> 0:42:12.399
<v Speaker 8>things like ammonia NH three. You cannot make NH three

0:42:12.480 --> 0:42:13.719
<v Speaker 8>without putting H in there.

0:42:13.840 --> 0:42:14.000
<v Speaker 6>Right.

0:42:14.680 --> 0:42:18.239
<v Speaker 8>Same goes for all refining. You need hydrogen and for

0:42:18.360 --> 0:42:20.279
<v Speaker 8>future as I've said, we're going to need it for

0:42:20.800 --> 0:42:24.000
<v Speaker 8>sectors that are going to be really hard to decarbonize

0:42:24.120 --> 0:42:27.640
<v Speaker 8>using electrification. For example, it's really hard to run a

0:42:27.840 --> 0:42:30.840
<v Speaker 8>ship that runs across half the world on batteries. You

0:42:31.000 --> 0:42:33.400
<v Speaker 8>just don't have enough batteries. Batteries are too heavy, they

0:42:33.520 --> 0:42:36.560
<v Speaker 8>take up too much space. We need something denser, and

0:42:36.719 --> 0:42:39.320
<v Speaker 8>one way we could do that, for example, is to

0:42:39.480 --> 0:42:43.880
<v Speaker 8>combine hydrogen and nitrogen into ammonia, or hydrogen carbon and

0:42:43.960 --> 0:42:47.399
<v Speaker 8>oxygen into methanol and use those to power the ship

0:42:47.480 --> 0:42:49.280
<v Speaker 8>instead as a more energy dense fuel.

0:42:50.239 --> 0:42:53.239
<v Speaker 7>Martin Which countries or which parts of the world are

0:42:53.360 --> 0:42:55.759
<v Speaker 7>leading in this green hydrogen move.

0:42:57.719 --> 0:43:00.080
<v Speaker 8>This is a really hard one to say. If you

0:43:00.120 --> 0:43:02.400
<v Speaker 8>asked people five years ago, they tell you, it's totally

0:43:02.520 --> 0:43:05.960
<v Speaker 8>Japan that's leading. Japan is the first country that had

0:43:06.000 --> 0:43:09.120
<v Speaker 8>a hydrogen strategy way back when in twenty fourteen, when

0:43:09.200 --> 0:43:12.480
<v Speaker 8>nobody has even thought about hygien to the extent that

0:43:12.840 --> 0:43:16.200
<v Speaker 8>many people are today. But now you could say the

0:43:16.440 --> 0:43:21.359
<v Speaker 8>real leaders are the US and European Union and its

0:43:21.440 --> 0:43:24.560
<v Speaker 8>member states. In the US, as you're probably aware, the

0:43:24.600 --> 0:43:28.440
<v Speaker 8>Inflation Reduction Act was passed back in August twenty twenty two.

0:43:28.880 --> 0:43:32.000
<v Speaker 8>There were some pretty generous tax credits for the production

0:43:32.239 --> 0:43:36.239
<v Speaker 8>of green and blue hydrogen, and we're seeing especially the

0:43:36.280 --> 0:43:39.919
<v Speaker 8>blue hygiene projects in the US now coming through because

0:43:39.960 --> 0:43:42.440
<v Speaker 8>the economics could actually work out on green. It's a

0:43:42.520 --> 0:43:46.120
<v Speaker 8>bit more difficult because companies are still waiting on guidance

0:43:46.160 --> 0:43:49.440
<v Speaker 8>as to the rules under which they could claim these credits.

0:43:49.760 --> 0:43:52.600
<v Speaker 8>In Europe, there's a lot of excitement. Europe is the

0:43:52.680 --> 0:43:56.640
<v Speaker 8>one place since probably the most sincere desire to decarbonize

0:43:56.680 --> 0:43:59.680
<v Speaker 8>and the strongest policies to do that. We have carbon prices,

0:44:00.200 --> 0:44:03.120
<v Speaker 8>mandates to use hydrogen. There's very few other places where

0:44:03.120 --> 0:44:07.120
<v Speaker 8>you have actual mandates that require use of hydrogen for

0:44:07.440 --> 0:44:11.840
<v Speaker 8>for example, shipping or aviation. That's what we're seeing in Europe.

0:44:12.800 --> 0:44:14.759
<v Speaker 2>They have a question that I keep hearing about is

0:44:14.880 --> 0:44:17.160
<v Speaker 2>you know, the IRA, for example, did a great job

0:44:17.280 --> 0:44:20.200
<v Speaker 2>in incentivizing production of it, helping bring down the cost.

0:44:20.600 --> 0:44:23.080
<v Speaker 2>But where it looks like things are falling short is

0:44:23.160 --> 0:44:26.719
<v Speaker 2>the demand side. So despite those subsidies, the buyer and

0:44:26.760 --> 0:44:29.440
<v Speaker 2>the seller costs for hydrogen is still very far apart,

0:44:29.600 --> 0:44:32.759
<v Speaker 2>and that's creating a difficulty in securing that demand. Where

0:44:32.920 --> 0:44:34.520
<v Speaker 2>is that gap right now? And how do you see

0:44:34.560 --> 0:44:35.800
<v Speaker 2>that evolving?

0:44:37.680 --> 0:44:41.359
<v Speaker 8>Yeah, that's actually the key issue, Alex. You really hit

0:44:41.360 --> 0:44:44.759
<v Speaker 8>the nail on the head. There's so many projects out there,

0:44:44.840 --> 0:44:46.960
<v Speaker 8>and we have a database for that at BNF, So

0:44:47.120 --> 0:44:49.200
<v Speaker 8>for those of you who have access, definitely do come

0:44:49.239 --> 0:44:51.200
<v Speaker 8>and check it out if you haven't already. We have

0:44:51.239 --> 0:44:55.360
<v Speaker 8>a database of production projects. So that's all the projects

0:44:55.520 --> 0:44:57.560
<v Speaker 8>or all the companies with all their projects that would

0:44:57.600 --> 0:45:01.360
<v Speaker 8>want to produce hydrogen. And we're talking tens of millions

0:45:01.360 --> 0:45:04.080
<v Speaker 8>of tons, sixty million tons by twenty thirty, So that's

0:45:04.760 --> 0:45:06.680
<v Speaker 8>compared to hundred that we already make today with the

0:45:06.719 --> 0:45:08.960
<v Speaker 8>gray hygroens. It's a vast, vast increase that we could

0:45:09.040 --> 0:45:12.760
<v Speaker 8>see if only there was actually someone who would kindly

0:45:12.880 --> 0:45:17.080
<v Speaker 8>want to buy that green hydrogen or that blue hydrogen,

0:45:17.440 --> 0:45:20.160
<v Speaker 8>and why don't they want to buy it because it's expensive,

0:45:20.400 --> 0:45:23.560
<v Speaker 8>like I've said at the beginning, and what's needed to

0:45:23.680 --> 0:45:27.760
<v Speaker 8>bridge that well. First, ideally the cost of renewables should

0:45:27.760 --> 0:45:29.720
<v Speaker 8>come down, and they will be coming down, as benf

0:45:29.800 --> 0:45:33.480
<v Speaker 8>keeps writing, that's great, because the key input into the

0:45:33.480 --> 0:45:36.239
<v Speaker 8>production of green hydrogen is the cost of green electricity.

0:45:36.800 --> 0:45:39.279
<v Speaker 8>Then we need to see the cost of electrolyzers, so

0:45:39.360 --> 0:45:43.360
<v Speaker 8>that's the machines that split the water into oxygen and hydrogen.

0:45:43.400 --> 0:45:46.719
<v Speaker 8>They'd need to get cheaper. That's going to happen, but

0:45:47.160 --> 0:45:50.360
<v Speaker 8>so far we've seen the opposite. The costs have actually

0:45:50.400 --> 0:45:53.959
<v Speaker 8>gone up. The supply chain issues with hydrogen with electrolyizers

0:45:54.000 --> 0:45:57.240
<v Speaker 8>have been quite challenging. And finally we need to see policy,

0:45:57.840 --> 0:46:00.960
<v Speaker 8>and we see a lot of policy on the supply side.

0:46:01.000 --> 0:46:03.319
<v Speaker 8>So the US, for example, forty five v forty five

0:46:03.440 --> 0:46:06.680
<v Speaker 8>q credits for the from the IRA for the production

0:46:07.480 --> 0:46:11.120
<v Speaker 8>of green or blue hydrogen. That's great, but that's probably

0:46:11.200 --> 0:46:13.239
<v Speaker 8>not enough, maybe enough for blue, but not enough for

0:46:13.320 --> 0:46:16.200
<v Speaker 8>green to want somebody to buy it. So that's where

0:46:16.200 --> 0:46:19.600
<v Speaker 8>the European Union comes in with things like quote as

0:46:19.719 --> 0:46:22.560
<v Speaker 8>mandates that a certain sector must use a certain amount

0:46:22.800 --> 0:46:26.200
<v Speaker 8>of hydrogen by a certain date. And that's a pretty

0:46:26.239 --> 0:46:31.359
<v Speaker 8>crude way of enforcing hydrogen demand. And there's many, many

0:46:31.520 --> 0:46:33.279
<v Speaker 8>pros and cons of that, but that's one way to

0:46:33.320 --> 0:46:33.960
<v Speaker 8>get it done.

0:46:33.920 --> 0:46:35.440
<v Speaker 4>All right, Martin, thank you so much for joining us.

0:46:35.480 --> 0:46:39.560
<v Speaker 7>Martin Tangler, head of hydrogen Research at DNEPP.

0:46:40.440 --> 0:46:44.960
<v Speaker 1>This is the Bloomberg Intelligence Podcast, available on apples, Spotify,

0:46:45.160 --> 0:46:48.319
<v Speaker 1>and anywhere else you get your podcasts. Listen live each

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<v Speaker 1>weekday ten am to noon Eastern on Bloomberg dot com,

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<v Speaker 1>the iHeartRadio app, tune In, and the Bloomberg Business app.

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<v Speaker 1>You can also watch us live every weekday on YouTube

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<v Speaker 1>and always on the Bloomberg Drunk