WEBVTT - Man Group’s Chu On Dispersion in Commodities

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<v Speaker 1>Welcome to Inside Active, a podcast about active managers that

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<v Speaker 1>goes beyond sound bites and headlines and looks deeper into

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<v Speaker 1>their processes, challenges, and philosophies and security selection. I'm David cone, I,

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<v Speaker 1>lead mutual fund and active Research at Bloomberg Intelligence. Today

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<v Speaker 1>my co host is Brian Dherty, head of Thematic Strategy

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<v Speaker 1>at Bloomberg Intelligence. Bri, thank you for joining me today.

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<v Speaker 2>Thanks for having me David. This is one of my

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<v Speaker 2>favorite things to do when it gets put on my calendar,

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<v Speaker 2>so always a pleasure.

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<v Speaker 1>So one of the things I wanted to talk to

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<v Speaker 1>you about is so you have about thirty three themes

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<v Speaker 1>and the bi Thematic Strategy data set, you know, twenty

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<v Speaker 1>three hundred unique entities. And we've heard a lot about

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<v Speaker 1>big tech themes this year AI Modern Defense, but I

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<v Speaker 1>noticed your multi theme analysis calls particular at tension to

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<v Speaker 1>the physical environment ones. Can you tell us more about that?

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<v Speaker 2>Yeah, you've got that absolutely correct. So I've spent a

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<v Speaker 2>lot of my twenty twenty four talking tech, which is

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<v Speaker 2>interesting for somebody who's spent nearly twenty years in energy.

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<v Speaker 3>But anyways, it is what it is. We do have

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<v Speaker 3>thirty three.

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<v Speaker 2>Themes what we have done, and the energy themes, So

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<v Speaker 2>those physical environment themes which hold a lot of different

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<v Speaker 2>energy themes such as hydrogen, biofuels, nuclear CCUS, decentralized energy.

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<v Speaker 2>There's twelve themes in that category. In general, those themes

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<v Speaker 2>haven't been at the top of the leaderboard this year.

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<v Speaker 2>Our top of the leaderboard has been pretty dominated, especially

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<v Speaker 2>as of laid off the last couple of weeks, with

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<v Speaker 2>some future finance and frontier tech. But what is interesting

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<v Speaker 2>is we have this unique cohort of thirty one global

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<v Speaker 2>stocks that happen to be names that are in four

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<v Speaker 2>or more BI themes. So again we've got thirty three

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<v Speaker 2>themes over twenty three hundred Union equities. There's thirty one

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<v Speaker 2>stocks within that data set that are in four or

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<v Speaker 2>more BI themes, which is what we call them our

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<v Speaker 2>high thematic breadth or high theme profile names. In those

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<v Speaker 2>thirty one names, the ones that are physical environment names,

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<v Speaker 2>so we're predominantly the themes that they're exposed to. Our

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<v Speaker 2>physical environment themes have outperformed those tech names dramatically, so

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<v Speaker 2>they've returned like ninety nine percent year to date versus

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<v Speaker 2>the tech names have returned thirty percent. So we've got

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<v Speaker 2>ten physical environment multi theme names. Siemens Energy top of

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<v Speaker 2>that list. It's performance this year outstanding. But we've also

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<v Speaker 2>got Ihi, Mitsubishi Heavy Industries, Kawasaki, Angie, Honeywell, We've got

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<v Speaker 2>a few other interesting names in there. And as a group,

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<v Speaker 2>those physical environment multi theme names have just been gangbusters

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<v Speaker 2>this year when compared to these accelerating tech names, which

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<v Speaker 2>those accelerating tech names, to be clear, include the likes

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<v Speaker 2>of Apple, Microsoft, Navidia, So it's not like they don't

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<v Speaker 2>they don't have a lot of you know, big big

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<v Speaker 2>power behind them. So the fact that we're seeing that

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<v Speaker 2>out performance has really been tremendous for us, and again

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<v Speaker 2>brings us to our conversation today where I know we're

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<v Speaker 2>talking natural resources and energy focused themes, and so I'm

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<v Speaker 2>interested to delve into that conversation.

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<v Speaker 1>Oh it's great, So I think, actually this is a

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<v Speaker 1>great time to welcome our guest, Albert Chu to the podcast.

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<v Speaker 1>Al is a portfolio manager at Man GLG, where he

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<v Speaker 1>focuses on natural resource strategies. He's actually the portfolio manager

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<v Speaker 1>for the American Beacon GLG natural Resources ETF, which as

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<v Speaker 1>a ticker MG and R actually a fun we really

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<v Speaker 1>wanted to talk about today. So Al, thank you for

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<v Speaker 1>joining us.

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<v Speaker 4>Hi David, thank you for having me.

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<v Speaker 1>So i'd actually like to begin by hearing how you

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<v Speaker 1>got your start in the investment industry.

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<v Speaker 4>Oh, that was a long, long time ago. It started

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<v Speaker 4>from a book I was doing my getting into my

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<v Speaker 4>B school internship and I like to read a lot,

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<v Speaker 4>and one of the books I was reading that time

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<v Speaker 4>was Hot Commodities Jim Rogers, the the SOLS partner at Quantum,

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<v Speaker 4>and just the book really resonated with me, talking about

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<v Speaker 4>the undersupply and the development that's the needs that's coming out.

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<v Speaker 4>And then I remember at my internship, you know, they

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<v Speaker 4>put a list of different sectors and analysts looking for

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<v Speaker 4>summer associate and at the bottom of the list was

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<v Speaker 4>Energy and when I signed up for it, they said

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<v Speaker 4>it's yours because nobody asked for it. I think Oil

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<v Speaker 4>was treating about thirty dollars at that point, and they

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<v Speaker 4>were like, yeah, out of an interim class of one hundred,

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<v Speaker 4>you're the only guy that asked for Energy. And you know,

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<v Speaker 4>right time, the right place. So I asked for you know,

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<v Speaker 4>the Energy group. And then so I've always been investing

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<v Speaker 4>in commodities ever since then. So it's a book that's great.

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<v Speaker 1>So I actually we wanted to talk specifically about m

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<v Speaker 1>m g R. You know, as I mentioned the American

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<v Speaker 1>Beacon GLG Natural Resources ETF. Can you walk us through

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<v Speaker 1>the investment process for that fund? You know how securities

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<v Speaker 1>are selected?

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<v Speaker 4>Sure? When when we when I think about the investment

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<v Speaker 4>process in the commodities world, I always like to take

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<v Speaker 4>a step back, right, let's tick the sector. And you

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<v Speaker 4>can do this from a numerous perspective, right from the

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<v Speaker 4>equities or from the futures. Take the index right, and

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<v Speaker 4>you take it one year back, five year back, ten

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<v Speaker 4>year back, good market, bad market, It really doesn't matter.

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<v Speaker 4>It still holds true. And you chop it right in

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<v Speaker 4>half the top fifty percent tileent return versus the bottom

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<v Speaker 4>fifty percent tile in return. That that dispersion on average

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<v Speaker 4>is between forty five to fifty percent. Now, I think

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<v Speaker 4>the average. You know, a common investor tends to think

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<v Speaker 4>of commodities as one. It's oh, it's a beta play

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<v Speaker 4>and it's a correlation of one. But that is just

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<v Speaker 4>not the case. Right if you look at even just

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<v Speaker 4>this year alone, right, to the biggest commodities, oil versus gold. Right,

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<v Speaker 4>goal is up between twenty five to thirty percent this

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<v Speaker 4>year oil again, integrald to to our everyday use an

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<v Speaker 4>economy is down this year, right and every year. You

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<v Speaker 4>can pretty much go through and look at that, you know,

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<v Speaker 4>natural gas the last several years versus iron ore. There's

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<v Speaker 4>huge dispersion now within and this is actually one of

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<v Speaker 4>the widest dispersion within all the SMP sectors right now.

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<v Speaker 4>Within this dispersion, this the wideness of this really implies

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<v Speaker 4>that there's a lot of alpha to be generated, right,

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<v Speaker 4>that it doesn't all go up and down together. And

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<v Speaker 4>it's not just a beta play right there. They're very

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<v Speaker 4>atosyncratic supplying demand drivers, and and that that simple premise

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<v Speaker 4>drives the entire investment process. Right, is that this is

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<v Speaker 4>not a passive product. We don't you know, track and

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<v Speaker 4>have to maintain a certain amount of Well, this is

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<v Speaker 4>what the index does, so we have to do this.

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<v Speaker 4>This is purely a look, we think this commodity is

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<v Speaker 4>going to go into a bull cycle. This one is

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<v Speaker 4>not you want to be positioned here versus somewhere else.

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<v Speaker 4>It doesn't we don't have to be in every single

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<v Speaker 4>commodity or every commodity companies. Now this is also equity products,

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<v Speaker 4>so it's the commodity companies. And I think there's actually

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<v Speaker 4>a natural advantages to to having the equities as well.

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<v Speaker 4>But that's what drives it, right, It's a research first,

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<v Speaker 4>back by you know, demand group. We have a lot

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<v Speaker 4>of data and technology that we apply, but it's a

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<v Speaker 4>human process, right, very fundamentally driven picking the best companies

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<v Speaker 4>within the best commodity school.

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<v Speaker 1>Now, I kind of want to go back to you know,

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<v Speaker 1>you mentioned dispersion. It's something I've looked at quite a bit,

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<v Speaker 1>especially with stocks. What exactly are you measuring? You looking

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<v Speaker 1>at you know, are you focusing on a commodity and

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<v Speaker 1>looking at the top in bottom and then you know,

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<v Speaker 1>looking at the difference.

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<v Speaker 4>Oh that's a good question. No, it's actually if if

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<v Speaker 4>the the think of the research process as having three pillars, right,

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<v Speaker 4>the first pillar the three levers of alpha, right, the

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<v Speaker 4>first real real, the filter or the subset is understanding

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<v Speaker 4>the commodity. Right where are we in the commodity cycle?

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<v Speaker 4>If the commodity is about to go enter into a

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<v Speaker 4>prolonged downturn, I'm not picking the best stock in that sector.

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<v Speaker 4>I'm saying, if something is going to if the commodity

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<v Speaker 4>is going to underperform, we're going to go down. Do

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<v Speaker 4>I need to be in any of these names or

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<v Speaker 4>in my investors right? My answer is no, because I'm

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<v Speaker 4>an active product, I don't need to be in any

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<v Speaker 4>bit right versus a Oh way, if I think of

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<v Speaker 4>commodity is going up, do I need to be well

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<v Speaker 4>I only buy one or two names. No, in that case,

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<v Speaker 4>I want to buy as big of a basket. You

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<v Speaker 4>know that that within my broader populiar construction will allow. Right,

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<v Speaker 4>there's a there's always a bull and bear market gone somewhere.

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<v Speaker 4>So you want to be very selective when what you're buying.

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<v Speaker 4>You know, the old real estate saying, oh, you want

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<v Speaker 4>to buy the worst house in a good you know block.

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<v Speaker 4>The way I look at it is, if it's a

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<v Speaker 4>bad block, you don't want to buy any house you know,

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<v Speaker 4>not a good house, not a bad house. And if

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<v Speaker 4>it's a good block, you want to buy all the

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<v Speaker 4>houses right, good bad. You want to get as many

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<v Speaker 4>exposure to that block. So that that's the general framework.

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<v Speaker 2>I think music to my ears. So I was in

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<v Speaker 2>commodities for a very long time, natural gas specifically, So

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<v Speaker 2>I always appreciate when someone gives a shout out to

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<v Speaker 2>natural gas, which you did, as as you're looking at this,

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<v Speaker 2>and I'm really interested in US commodity's viewpoint being really

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<v Speaker 2>at the core foundational aspect of your investment process. When

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<v Speaker 2>I'm looking at your current you know, holdings, how what

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<v Speaker 2>is your current commodities view and how has that translated

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<v Speaker 2>into the current equities that you've got in there, or

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<v Speaker 2>how are you feeling generally about the commodity's environment right now?

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<v Speaker 4>Right, I think it's it's actually very very attractive. Right

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<v Speaker 4>if we look at if we take a step back

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<v Speaker 4>and we look at what's going on in the world.

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<v Speaker 4>You know, the US, the biggest economy. We just had

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<v Speaker 4>our first rate cut. You know, regardless of the duration

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<v Speaker 4>or magnitude, we are in a rate cut cycle. If

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<v Speaker 4>you look at the past, you know, last twenty years,

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<v Speaker 4>the past three rate cut cycles. Thirty six months after

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<v Speaker 4>the first rate cut, Commodities, copper, gold, a lot of

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<v Speaker 4>the basic inputs tend to do very very well. There's

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<v Speaker 4>actually never really been a sustained period where you have

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<v Speaker 4>a rate cut cycle and then two three years later,

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<v Speaker 4>you know, the commodities didn't participate, and then you've thrown

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<v Speaker 4>to that a red sweep on the government where it's

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<v Speaker 4>very pro growth. You're setting up fairly strongly on that.

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<v Speaker 4>But then if you look at the second biggest economy

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<v Speaker 4>in the world China, now they went through a four

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<v Speaker 4>year downturn right first with COVID, trade wars and a

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<v Speaker 4>property bus there, but again from the from the top

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<v Speaker 4>down economy over the last month or two coordinated fiscal

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<v Speaker 4>monetary stimulus. Right now, there are a lot of secular

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<v Speaker 4>issues in China, right population, demographics, bomb, credit, real estate.

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<v Speaker 4>But again, when the government is stimulating or when they

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<v Speaker 4>have pulled that switch to stimulate, it's a pretty powerful tailwind.

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<v Speaker 4>And even in Europe, you know, hopefully the war and

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<v Speaker 4>physical altercations like subsiding, and you know, if you're start

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<v Speaker 4>thinking about twenty twenty five and twenty six, they will

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<v Speaker 4>start getting a wave of LNG so power will get

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<v Speaker 4>cheaper for Europe as well. So the three big economies

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<v Speaker 4>in the world over the next several years are actually

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<v Speaker 4>getting a lot of tailwind. You know, with the markets

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<v Speaker 4>that basically all time highs, something is being mispriced and

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<v Speaker 4>This isn't a value comment or a growth comment, right,

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<v Speaker 4>It is just that you know, the markets is baking in. Oh,

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<v Speaker 4>things are pretty okay, yet they're also baking in Well,

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<v Speaker 4>we're going to have a recovery in global economy, but

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<v Speaker 4>not in commodities, and honestly, that's just not gonna be

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<v Speaker 4>the case. Right. A lot of times people forget that

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<v Speaker 4>you can't really have economic recoveries without a restopping cycle,

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<v Speaker 4>and that's what we've been seeing. We look at manufacturing

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<v Speaker 4>PMI obviously dropped very, very sharply in twenty twenty, had

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<v Speaker 4>a nice rally in twenty twenty one, but global manufacturing

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<v Speaker 4>PMI has been coming down pretty much every quarter since

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<v Speaker 4>twenty twenty one. Every CEO out there have been anticipating

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<v Speaker 4>while there's a shutdown in China, there's going there's a

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<v Speaker 4>great high cycle. Europe is still at war. You don't

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<v Speaker 4>want to be overly investing in in manufacturing in the

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<v Speaker 4>hard stuff, so we've been de stopping. And that's the

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<v Speaker 4>interesting thing is that for the past two three years, CEOs,

0:11:58.040 --> 0:12:01.960
<v Speaker 4>despite your corporate spreads bring very health, the corporate profits

0:12:02.160 --> 0:12:04.560
<v Speaker 4>and morgins being very strong, is that they have been

0:12:05.160 --> 0:12:09.160
<v Speaker 4>recycling the money back into dividends and buybacks and not rebuilding,

0:12:09.280 --> 0:12:12.080
<v Speaker 4>not restalking. But again, is that if we started looking

0:12:12.080 --> 0:12:15.480
<v Speaker 4>in twenty twenty five a rate cut cycle and a

0:12:15.679 --> 0:12:20.640
<v Speaker 4>coordinated stimulus environment in China. Is that it's in my

0:12:20.800 --> 0:12:24.280
<v Speaker 4>mind at the likelihood of a global restalking cycle is

0:12:24.320 --> 0:12:28.280
<v Speaker 4>fairly high or being severely underestimated. In that case, a

0:12:28.320 --> 0:12:30.559
<v Speaker 4>lot of the things in my sector, the stuff if

0:12:30.559 --> 0:12:34.679
<v Speaker 4>you if you, if you call it, it's understated how

0:12:34.720 --> 0:12:35.559
<v Speaker 4>much stuff we will need.

0:12:35.760 --> 0:12:39.480
<v Speaker 2>So and so you guys look at natural resources and

0:12:39.559 --> 0:12:45.760
<v Speaker 2>natural resources related equities, are they're currently so in that

0:12:45.840 --> 0:12:51.719
<v Speaker 2>I'm assuming obviously traditional energy in their metals, mining, the

0:12:51.800 --> 0:12:55.880
<v Speaker 2>usual suspects, possibly even some new energy. Can you walk

0:12:55.920 --> 0:12:58.480
<v Speaker 2>us through maybe some of those sub industries that you

0:12:58.559 --> 0:13:01.480
<v Speaker 2>guys are particularly focus on, or even sub industries that

0:13:01.520 --> 0:13:05.200
<v Speaker 2>you're veering away from right now at this moment with

0:13:05.280 --> 0:13:07.200
<v Speaker 2>this general view that you do think that there's going

0:13:07.240 --> 0:13:10.400
<v Speaker 2>to be a broad uplift and demand across the board

0:13:10.480 --> 0:13:11.679
<v Speaker 2>for natural resources.

0:13:12.000 --> 0:13:15.320
<v Speaker 4>Absolutely, and I think that's really important to highlight too,

0:13:15.400 --> 0:13:19.080
<v Speaker 4>right that things don't participate with the correlation of one

0:13:19.440 --> 0:13:23.120
<v Speaker 4>even if there's a strong macro trend. You know, particular

0:13:23.160 --> 0:13:26.440
<v Speaker 4>subsectors or areas that we're very you know, bullish on.

0:13:26.840 --> 0:13:29.160
<v Speaker 4>You know, we continue to like copper. Copper is a

0:13:29.320 --> 0:13:33.240
<v Speaker 4>unique right, It's a very cyclical metal, meaning you know,

0:13:33.280 --> 0:13:38.120
<v Speaker 4>it does well in economic upturns and poorly in downturns.

0:13:38.240 --> 0:13:41.559
<v Speaker 4>But there's also a very strong structural issue to the

0:13:41.920 --> 0:13:45.120
<v Speaker 4>demands of it, right in terms of hyper scalers, in

0:13:45.200 --> 0:13:49.400
<v Speaker 4>terms of energy transition, you just cannot electrify without copper.

0:13:50.400 --> 0:13:52.520
<v Speaker 4>If you look at the supply response, you know, copper

0:13:52.559 --> 0:13:54.800
<v Speaker 4>minds are not shell wells, right, you can't bring it

0:13:54.800 --> 0:13:57.959
<v Speaker 4>on in thirty days. Oftentimes it takes decade decade and

0:13:58.000 --> 0:14:00.800
<v Speaker 4>a half to bring on these megaminds. So we know

0:14:00.920 --> 0:14:04.480
<v Speaker 4>that you know, supply is going to get increasingly difficult

0:14:04.559 --> 0:14:06.840
<v Speaker 4>or you need higher and higher prices to bring forth

0:14:07.120 --> 0:14:10.360
<v Speaker 4>the volumes that we need for one a basic economic

0:14:10.640 --> 0:14:14.680
<v Speaker 4>inflection and manufacturing PMI, And two it's just renewables, renewables

0:14:14.679 --> 0:14:19.480
<v Speaker 4>and power. Right. If we think about holistically, power is energy, right,

0:14:19.640 --> 0:14:23.480
<v Speaker 4>Energy is which is oil or coal, natural gas is electricity,

0:14:23.680 --> 0:14:26.360
<v Speaker 4>it's it's power, it is renewables. So we like to

0:14:26.400 --> 0:14:29.160
<v Speaker 4>think holistically through that whole value and supply chain so

0:14:29.200 --> 0:14:33.160
<v Speaker 4>that's one commodity that we still really like. Another one

0:14:33.200 --> 0:14:36.600
<v Speaker 4>that we get basic chemicals the tip of the spirit. Right,

0:14:36.760 --> 0:14:40.640
<v Speaker 4>you really cannot go into manufacturing restock cycle without the

0:14:40.640 --> 0:14:44.920
<v Speaker 4>basic inputs simple things container boards. Right, If you go

0:14:44.960 --> 0:14:48.240
<v Speaker 4>into a manufacturing cycle, you cannot ship it without container boards.

0:14:48.240 --> 0:14:51.280
<v Speaker 4>It's it's actually one of the more obscure commodities that

0:14:51.440 --> 0:14:55.080
<v Speaker 4>really does well and in an economic upturn, we also

0:14:55.200 --> 0:14:58.160
<v Speaker 4>like really like gold and silver still. It's one of

0:14:58.200 --> 0:15:01.520
<v Speaker 4>those things where I think there's been break consolidation with

0:15:01.520 --> 0:15:03.520
<v Speaker 4>with a stronger dollar. But if we look at a

0:15:03.520 --> 0:15:07.160
<v Speaker 4>lot of the longer term trends, central banks trying to

0:15:07.200 --> 0:15:11.400
<v Speaker 4>diversify that divers fly away from US dollar. Then you

0:15:11.440 --> 0:15:15.200
<v Speaker 4>have geopolitical tensions and just escalated government spending. These are

0:15:15.240 --> 0:15:20.240
<v Speaker 4>not reversing any time school anytime soon. Political fragmentation, I

0:15:20.280 --> 0:15:23.040
<v Speaker 4>think it's a mega trend that's going to be with

0:15:23.120 --> 0:15:26.760
<v Speaker 4>us for decades to come. So I think physical and

0:15:27.360 --> 0:15:30.600
<v Speaker 4>paper gold and silver is very attractive, continue to be

0:15:30.680 --> 0:15:33.360
<v Speaker 4>very attractive. And then one of the points we previously

0:15:33.360 --> 0:15:35.680
<v Speaker 4>touched on is that it might take a look at

0:15:35.680 --> 0:15:39.760
<v Speaker 4>the next several years things that potentially will be in

0:15:39.800 --> 0:15:42.680
<v Speaker 4>a shorter or tighter supply will be powered, particularly in

0:15:42.720 --> 0:15:45.720
<v Speaker 4>the US, so we have we're invested in that theme

0:15:45.760 --> 0:15:47.880
<v Speaker 4>as well. One of the names you mentioned earlier is

0:15:47.920 --> 0:15:52.120
<v Speaker 4>one of our larger holdings. It's across the board, right, equipment,

0:15:52.400 --> 0:15:57.040
<v Speaker 4>the grid, battery storage, these are all themes that it's

0:15:57.040 --> 0:15:59.040
<v Speaker 4>going to be very integral. It's going to be if

0:15:59.040 --> 0:16:01.920
<v Speaker 4>we look back at twenty years from now, the energy

0:16:01.920 --> 0:16:04.480
<v Speaker 4>picture is going to look very different from the past

0:16:04.480 --> 0:16:06.280
<v Speaker 4>twenty years. The next twenty years is going to look

0:16:06.360 --> 0:16:08.800
<v Speaker 4>very different. So where we're invested in those Some of

0:16:08.800 --> 0:16:11.840
<v Speaker 4>the areas where you know, probably a little bit more

0:16:11.880 --> 0:16:16.040
<v Speaker 4>cauti or you know, a little bit more wary, will

0:16:16.120 --> 0:16:20.120
<v Speaker 4>be something like agriculture. Agriculture demand wise, of course, you

0:16:20.120 --> 0:16:22.880
<v Speaker 4>know we don't really eat less. Demand is fine, it

0:16:22.960 --> 0:16:25.720
<v Speaker 4>really is. Just the yields have been incredibly strong for

0:16:25.760 --> 0:16:28.880
<v Speaker 4>the last several years, right, Planting conditions have been great.

0:16:29.920 --> 0:16:32.480
<v Speaker 4>You know Russia there was there was actually not that

0:16:32.560 --> 0:16:36.280
<v Speaker 4>much physical disruptions. So we're looking at very very healthy yields,

0:16:36.960 --> 0:16:41.480
<v Speaker 4>you know, with all the soft commodities, and then you know,

0:16:41.680 --> 0:16:45.760
<v Speaker 4>energy defining it more on the on the oil side, right,

0:16:46.280 --> 0:16:49.480
<v Speaker 4>probably a little bit more cautient there Again, demand is

0:16:49.760 --> 0:16:53.120
<v Speaker 4>is fine, but you know in certain countries we are

0:16:53.160 --> 0:16:56.240
<v Speaker 4>starting to see at the tip of the demand certainly

0:16:56.360 --> 0:17:00.000
<v Speaker 4>sees some substitution, meaning in terms of ev and China

0:17:00.400 --> 0:17:03.440
<v Speaker 4>or compress natural gas, they are starting to take away

0:17:03.440 --> 0:17:05.040
<v Speaker 4>a little bit of market share. So you're starting to

0:17:05.080 --> 0:17:08.560
<v Speaker 4>see that that transition is happening in certain regions faster

0:17:08.640 --> 0:17:14.160
<v Speaker 4>than others. But on on that side, mainly it's the supply,

0:17:14.560 --> 0:17:18.200
<v Speaker 4>right if we look at how much capacity OPEC really

0:17:18.280 --> 0:17:20.719
<v Speaker 4>is holding back on the market right now, and these

0:17:20.720 --> 0:17:23.320
<v Speaker 4>are this is not capacity that they really need to develop.

0:17:23.440 --> 0:17:27.200
<v Speaker 4>It's there ready. And then you think about just the

0:17:27.240 --> 0:17:30.320
<v Speaker 4>logistical de bottlenecking in the US and the premium basin

0:17:30.760 --> 0:17:34.359
<v Speaker 4>it's been happening. There's actually not really a shortage of oil.

0:17:34.800 --> 0:17:37.800
<v Speaker 4>I think a lot of oil bowls will point it. Well,

0:17:37.880 --> 0:17:40.640
<v Speaker 4>look at how low inventory is, and I think that's

0:17:40.640 --> 0:17:43.199
<v Speaker 4>just the function of if the market is perceived to

0:17:43.200 --> 0:17:45.320
<v Speaker 4>be that well supplied, you don't need to carry a

0:17:45.320 --> 0:17:47.680
<v Speaker 4>lot of inventory, right, So I think it's a false signal.

0:17:48.480 --> 0:17:51.080
<v Speaker 4>But that's something that again I don't belong in the

0:17:51.119 --> 0:17:53.679
<v Speaker 4>camp where I think oil demand or oil is going

0:17:53.760 --> 0:17:56.800
<v Speaker 4>to fall off the cliff and we've completely transitioned to

0:17:56.920 --> 0:18:01.040
<v Speaker 4>a renewable economy. We're going to need oil for years

0:18:01.040 --> 0:18:02.679
<v Speaker 4>and years to come. It's going to be inteval. But

0:18:02.760 --> 0:18:05.800
<v Speaker 4>right now the balance looks like we have enough.

0:18:06.760 --> 0:18:08.960
<v Speaker 2>You mentioned a couple of things that I can't help

0:18:09.000 --> 0:18:14.280
<v Speaker 2>up myself. Help myself, but pounce on there because specifically

0:18:14.320 --> 0:18:17.520
<v Speaker 2>your conversation around oil and then you mentioned shale a.

0:18:17.560 --> 0:18:18.840
<v Speaker 3>Little earlier, and.

0:18:20.440 --> 0:18:22.320
<v Speaker 2>That was just such a huge disruption to the supply

0:18:22.440 --> 0:18:26.440
<v Speaker 2>dynamics of both natural gas and oil. As you mentioned obviously,

0:18:26.440 --> 0:18:29.160
<v Speaker 2>so much of it being in the US. When you

0:18:29.200 --> 0:18:33.240
<v Speaker 2>look at and you flagged power generation as being a

0:18:33.240 --> 0:18:36.040
<v Speaker 2>core theme that you're looking at over the near terms,

0:18:36.119 --> 0:18:39.080
<v Speaker 2>you continued growth and need for power generation. Do you

0:18:39.280 --> 0:18:45.520
<v Speaker 2>see any of these natural resources related exposures really ripe

0:18:45.600 --> 0:18:49.080
<v Speaker 2>for that same type of disruption that happened what shale,

0:18:49.640 --> 0:18:53.159
<v Speaker 2>what cracking that shale technology technology did for oil and

0:18:53.240 --> 0:18:56.560
<v Speaker 2>natural gas. Do you see anything that you feel is

0:18:56.560 --> 0:19:00.399
<v Speaker 2>at the precipice over the next five years that that

0:19:00.480 --> 0:19:03.960
<v Speaker 2>could get cracked and then we're in a different regime

0:19:04.040 --> 0:19:06.320
<v Speaker 2>with respect to some of these natural resources.

0:19:06.720 --> 0:19:11.160
<v Speaker 4>That's a great question. Yeah, I mean, I'm not one

0:19:11.160 --> 0:19:15.360
<v Speaker 4>of the Malthusians where we're running out of commodities and technology.

0:19:15.880 --> 0:19:17.320
<v Speaker 4>You know, I believe in technology.

0:19:17.400 --> 0:19:19.560
<v Speaker 2>I believe in technology too. It's amazing what it's done

0:19:19.600 --> 0:19:20.439
<v Speaker 2>for us in the post.

0:19:21.920 --> 0:19:26.600
<v Speaker 4>But the punch line for technology is price right. Technology

0:19:26.640 --> 0:19:30.520
<v Speaker 4>doesn't get developed without price even. Lets you say something

0:19:31.080 --> 0:19:34.600
<v Speaker 4>like copper that we mentioned earlier, Now there are competing

0:19:34.600 --> 0:19:37.920
<v Speaker 4>technologies for copper, right, you can actually get production from

0:19:38.280 --> 0:19:43.000
<v Speaker 4>lower grades. Our biggest copper resource is actually our trash pile. Right,

0:19:43.280 --> 0:19:46.920
<v Speaker 4>Because unlike energy, every kind of copper, every producer, every

0:19:46.920 --> 0:19:50.080
<v Speaker 4>problem with copper produce is theoretically still somewhere on Earth.

0:19:50.240 --> 0:19:54.119
<v Speaker 4>It's not a consumable right, once we figured out the

0:19:54.160 --> 0:19:58.080
<v Speaker 4>circular economy for it, theoretically we have enough copper that

0:19:58.119 --> 0:20:01.720
<v Speaker 4>will last whatever economic position or energy transition that we

0:20:01.720 --> 0:20:06.280
<v Speaker 4>can think of. But again, you need price right, price calves,

0:20:06.920 --> 0:20:10.639
<v Speaker 4>you know, basically all cycles. And the fortunate and fortunate

0:20:10.680 --> 0:20:13.199
<v Speaker 4>answer is that it's not a four dollars a pound, right,

0:20:13.240 --> 0:20:16.480
<v Speaker 4>A lot of these technology you really need higher recycling

0:20:16.880 --> 0:20:20.680
<v Speaker 4>is actually very uh it's it's a costly thing to do, right.

0:20:20.680 --> 0:20:23.800
<v Speaker 4>It's hard to recycle profitably at four dollars, So you

0:20:23.880 --> 0:20:26.359
<v Speaker 4>need materially higher price. So and that that's a lot

0:20:26.400 --> 0:20:29.040
<v Speaker 4>of different things too, right, you know things that we

0:20:29.200 --> 0:20:31.240
<v Speaker 4>were looking at that may be at the precipice of

0:20:31.280 --> 0:20:34.840
<v Speaker 4>new technology. Lithium is a perfect example. Right. One of

0:20:34.840 --> 0:20:37.399
<v Speaker 4>the funny things about lithium is that you know you

0:20:37.560 --> 0:20:40.800
<v Speaker 4>need cheat lithium. Right, If you build a giga factory

0:20:40.920 --> 0:20:44.040
<v Speaker 4>and you can't source lithium or it's too high, like

0:20:44.040 --> 0:20:47.240
<v Speaker 4>like a several years ago where oh you couldn't get cobalt, well,

0:20:47.280 --> 0:20:50.240
<v Speaker 4>that will derail the whole demand profile of it. Right.

0:20:50.800 --> 0:20:53.720
<v Speaker 4>So there, I think you will actually get look for

0:20:53.840 --> 0:20:58.720
<v Speaker 4>more supply and more technology, different forms of extraction, different

0:20:58.760 --> 0:21:03.119
<v Speaker 4>resources that would actually bring down the supply curve so

0:21:03.160 --> 0:21:06.280
<v Speaker 4>that the more you need something and then the higher

0:21:06.359 --> 0:21:09.639
<v Speaker 4>price that the price spikes is actually you typically the

0:21:10.560 --> 0:21:12.640
<v Speaker 4>precipice will bringing on new technology.

0:21:12.720 --> 0:21:17.080
<v Speaker 2>Right, somebody's gonna arbit right, Yeah, somebody's gonna figure it.

0:21:17.160 --> 0:21:19.040
<v Speaker 3>I mean if we saw it with shale.

0:21:19.160 --> 0:21:21.359
<v Speaker 2>I mean people forget this, but back in two thousand

0:21:21.359 --> 0:21:23.920
<v Speaker 2>and five, two thousand and six natural gas prices, we're

0:21:23.960 --> 0:21:26.760
<v Speaker 2>running fourteen dollars perm BTU, right, that's and so with

0:21:26.800 --> 0:21:28.960
<v Speaker 2>those types of prices, they could drive into the technology

0:21:29.000 --> 0:21:31.439
<v Speaker 2>to crack that shale code, and then that's what drove it.

0:21:31.920 --> 0:21:34.800
<v Speaker 2>And I look at things like daily right, we know

0:21:34.880 --> 0:21:37.240
<v Speaker 2>Exxon's now you know, picked up a company around direct

0:21:37.280 --> 0:21:41.879
<v Speaker 2>litheum extraction. I look at what they're trying to do

0:21:42.000 --> 0:21:45.000
<v Speaker 2>around nuclear. I'm quite interested if anybody can crack to

0:21:45.040 --> 0:21:48.800
<v Speaker 2>you a thermal. I think there's just as you say,

0:21:48.840 --> 0:21:54.160
<v Speaker 2>there's just as history has proven to us, innovation can

0:21:54.240 --> 0:21:56.919
<v Speaker 2>lead to some very significant disruption when it comes to

0:21:57.240 --> 0:22:01.560
<v Speaker 2>natural resources exposed. Could use a natural resource exposed the

0:22:01.720 --> 0:22:02.360
<v Speaker 2>absolutely yeah.

0:22:02.359 --> 0:22:03.639
<v Speaker 4>And I think that's the reason you need to be

0:22:03.680 --> 0:22:06.120
<v Speaker 4>active as well. Right. You know, people ask, well, well,

0:22:06.119 --> 0:22:07.720
<v Speaker 4>what commodities do you like, and I say, oh, I

0:22:07.840 --> 0:22:09.760
<v Speaker 4>like this and that, but this has something your own

0:22:09.800 --> 0:22:12.119
<v Speaker 4>for like twenty years. Well, no, The whole point of

0:22:12.119 --> 0:22:15.440
<v Speaker 4>active management is that in twenty years, the market will

0:22:15.440 --> 0:22:18.680
<v Speaker 4>figure it out, right, it will, you know, prices will rise,

0:22:18.800 --> 0:22:22.520
<v Speaker 4>capital capital investments will come in, you know, human capital

0:22:22.520 --> 0:22:25.080
<v Speaker 4>will come in, Technological capital will come in, and it

0:22:25.119 --> 0:22:27.119
<v Speaker 4>will solve that. Right, And the whole point is that

0:22:27.520 --> 0:22:30.399
<v Speaker 4>it comes in waves, and that's how you capitalize on

0:22:30.440 --> 0:22:33.120
<v Speaker 4>it by being active investors. Now, one of the interesting

0:22:33.160 --> 0:22:36.320
<v Speaker 4>things that I've always thought and some people may disagree,

0:22:36.359 --> 0:22:40.400
<v Speaker 4>is that commodity cycles aren't ended because of demand. Right.

0:22:40.640 --> 0:22:44.160
<v Speaker 4>We look at demand from humanity since the beginning time

0:22:44.280 --> 0:22:48.160
<v Speaker 4>we eat more, drive more, build more, consumer everything is more. Right.

0:22:48.359 --> 0:22:51.160
<v Speaker 4>There are very few moments where there may be blips. Right.

0:22:51.359 --> 0:22:53.720
<v Speaker 4>Economic blits are where we consume a little bit less.

0:22:54.119 --> 0:22:58.800
<v Speaker 4>It's the supply that really the displaces the commodity cycles, right.

0:22:59.000 --> 0:23:01.320
<v Speaker 4>I mean, even if you look at oil demand, believe

0:23:01.320 --> 0:23:04.600
<v Speaker 4>it or not, has been pretty constant and increasing. Same

0:23:04.640 --> 0:23:07.680
<v Speaker 4>thing with metals and mining, steel, food demand. Right, These

0:23:07.720 --> 0:23:11.280
<v Speaker 4>short term gyrations in cycles are caused a lot by supply.

0:23:11.440 --> 0:23:13.960
<v Speaker 4>So it's something that my team and I really focus on. Right,

0:23:14.080 --> 0:23:17.800
<v Speaker 4>it's you know, count the pipelines, count the minds, count detractors,

0:23:17.840 --> 0:23:21.000
<v Speaker 4>count count the corn that that's where a lot of

0:23:21.040 --> 0:23:22.520
<v Speaker 4>the alpha is generated from.

0:23:22.600 --> 0:23:24.399
<v Speaker 2>Yeah, and look at those costs of supplied curves and

0:23:24.400 --> 0:23:28.040
<v Speaker 2>how they're either climbing or falling. Yeah, it's so so true.

0:23:28.680 --> 0:23:30.560
<v Speaker 1>So I wanted to jump in and ask a slightly

0:23:30.600 --> 0:23:34.760
<v Speaker 1>different question. You know, the portfolio is a little bit concentrated.

0:23:34.840 --> 0:23:38.239
<v Speaker 1>I think there's about forty five securities in it. How

0:23:38.280 --> 0:23:39.920
<v Speaker 1>do you handle concentration risk.

0:23:40.840 --> 0:23:45.439
<v Speaker 4>Oh that's yeah, that's really important. So my background is

0:23:46.000 --> 0:23:49.160
<v Speaker 4>I grew up in the hedgewind world and along short

0:23:49.160 --> 0:23:53.720
<v Speaker 4>equity at various various places, and you know every single

0:23:53.760 --> 0:23:57.040
<v Speaker 4>place is the same. Right. That's how they teach their

0:23:57.080 --> 0:23:59.360
<v Speaker 4>analysts and their PM is that it's not oh well,

0:23:59.359 --> 0:24:01.240
<v Speaker 4>this is how you make money. The first lesson is

0:24:01.280 --> 0:24:03.639
<v Speaker 4>always how do you not lose money? Right? How do

0:24:03.640 --> 0:24:06.760
<v Speaker 4>you manage risk? So I do run a fairly concentrated

0:24:06.760 --> 0:24:08.800
<v Speaker 4>portfolio because it's alpha, right. I don't need to be

0:24:08.800 --> 0:24:11.119
<v Speaker 4>in every single commodity, so run typically between forty to

0:24:11.160 --> 0:24:14.920
<v Speaker 4>fifty names. Now, there are there ways, you know where

0:24:14.960 --> 0:24:19.560
<v Speaker 4>you want to lower the risk profile. One is liquidity, right,

0:24:20.119 --> 0:24:24.359
<v Speaker 4>I mainly focus on mid to large capital cap companies

0:24:25.200 --> 0:24:30.720
<v Speaker 4>and then mainly focus on developed markets meaning OECD, US, Canada, Australia,

0:24:30.760 --> 0:24:35.639
<v Speaker 4>Western Europe. You know that my companies have enough operating

0:24:35.840 --> 0:24:38.200
<v Speaker 4>risk in terms of the minds and where they're based on.

0:24:38.880 --> 0:24:41.439
<v Speaker 4>I shouldn't be taking extra layer of sovereign risk by

0:24:41.600 --> 0:24:45.879
<v Speaker 4>by economic listings. Right. I tend to prefer WESTERNN listed

0:24:45.920 --> 0:24:50.000
<v Speaker 4>companies because their asset based are you know, in various

0:24:50.000 --> 0:24:55.199
<v Speaker 4>locations already. And then in terms of just diversification. We

0:24:55.240 --> 0:24:59.280
<v Speaker 4>look at the three main commodity sectors, right, energy slash, power,

0:24:59.760 --> 0:25:05.680
<v Speaker 4>metal and materials and agriculture size food. Each sector, we

0:25:05.720 --> 0:25:07.760
<v Speaker 4>don't let it get over two thirdies of the fund.

0:25:07.840 --> 0:25:09.399
<v Speaker 4>So you won't wake up like, oh it's just an

0:25:09.480 --> 0:25:11.520
<v Speaker 4>energy fund, or you wake up and so it's just

0:25:11.560 --> 0:25:14.680
<v Speaker 4>metals and mining. Now within the subsector, let's just say

0:25:14.800 --> 0:25:20.080
<v Speaker 4>within metals, like I like copper copper, I won't let

0:25:20.080 --> 0:25:22.240
<v Speaker 4>the subsector get over twenty five percent of the fund

0:25:22.640 --> 0:25:26.200
<v Speaker 4>again any given year, it should be various themes and

0:25:26.800 --> 0:25:29.800
<v Speaker 4>thesis is that that makes the returns not just all

0:25:29.840 --> 0:25:32.560
<v Speaker 4>eggs in one basket and then on an individual position

0:25:32.640 --> 0:25:36.840
<v Speaker 4>basis five percent. I don't let any single stop get

0:25:36.840 --> 0:25:41.880
<v Speaker 4>over meaningful over five percent. It's it's always dial back

0:25:41.880 --> 0:25:45.919
<v Speaker 4>the risks. So risk management and portfolio construction is one

0:25:45.960 --> 0:25:48.000
<v Speaker 4>of the top things on my mind. Right. It's not

0:25:48.080 --> 0:25:49.840
<v Speaker 4>just oh this is a great theme, we should all

0:25:49.880 --> 0:25:52.359
<v Speaker 4>just pop you buy everything in there, but you have

0:25:52.400 --> 0:25:54.120
<v Speaker 4>to balance it with proper risk management.

0:25:55.000 --> 0:25:56.720
<v Speaker 2>I think it's I was going to ask about the

0:25:56.800 --> 0:25:59.560
<v Speaker 2>concentration to US and Canada names, but you answered it

0:25:59.600 --> 0:26:01.560
<v Speaker 2>in there with respect to some of your managing some

0:26:01.600 --> 0:26:04.240
<v Speaker 2>of that potential risk the specific as it relates to

0:26:04.240 --> 0:26:08.840
<v Speaker 2>extraction companies, which I think is really interesting about the fund.

0:26:09.800 --> 0:26:10.680
<v Speaker 3>I know it's early to.

0:26:10.640 --> 0:26:13.720
<v Speaker 2>Tell because you guys only launched in February and you've

0:26:14.040 --> 0:26:18.960
<v Speaker 2>had good performance here, But how how much turnover do

0:26:19.000 --> 0:26:22.160
<v Speaker 2>you think you'd be comfortable with on any of the rebalances?

0:26:22.280 --> 0:26:25.439
<v Speaker 2>Is it something Obviously it's an active strategy, so you

0:26:25.520 --> 0:26:29.560
<v Speaker 2>do have capacity to do decent turnover. Is that a

0:26:29.600 --> 0:26:31.320
<v Speaker 2>style that you're thinking about or do you think that

0:26:31.359 --> 0:26:34.000
<v Speaker 2>these are you mentioned, you know, kind of like longer

0:26:34.080 --> 0:26:36.159
<v Speaker 2>term thoughts that you have within with it.

0:26:36.160 --> 0:26:37.840
<v Speaker 3>From the funds perspective.

0:26:38.480 --> 0:26:43.560
<v Speaker 4>We target around a sixty to eighty percent turnover because

0:26:44.119 --> 0:26:46.760
<v Speaker 4>if you think about commodity cycles, right, you don't want

0:26:46.760 --> 0:26:52.200
<v Speaker 4>to overstay your welcome right Perfectly commodity themes work. Let's

0:26:52.240 --> 0:26:54.639
<v Speaker 4>just say call it two to three years. Some some

0:26:54.760 --> 0:26:57.040
<v Speaker 4>are going to be longer, like a copper cycle will

0:26:57.040 --> 0:27:00.400
<v Speaker 4>take longer because the supply is so hard to bring on, right,

0:27:00.680 --> 0:27:04.480
<v Speaker 4>But something like can compare that to something like a

0:27:04.480 --> 0:27:08.240
<v Speaker 4>agriculture cycle, right, like chicken protein. That's one of the

0:27:08.240 --> 0:27:10.879
<v Speaker 4>things that we had exposure to at launch. You know,

0:27:11.040 --> 0:27:14.560
<v Speaker 4>A typical growing cycle for for protein is for chicken

0:27:14.560 --> 0:27:17.840
<v Speaker 4>protein sixty nine months, so it can adjust fairly quickly. Right,

0:27:18.080 --> 0:27:21.480
<v Speaker 4>So depending on the commodity, you know, you will have

0:27:21.560 --> 0:27:24.800
<v Speaker 4>different holding periods, and you know, the market is fairly efficient,

0:27:24.840 --> 0:27:26.760
<v Speaker 4>they will catch on the theme. So at a certain

0:27:26.760 --> 0:27:30.080
<v Speaker 4>point of the price reflects. You know, whatever my upside is,

0:27:30.480 --> 0:27:32.560
<v Speaker 4>you know, it's time to to think about something else.

0:27:33.200 --> 0:27:36.119
<v Speaker 4>But it's typically sixty to eighty percent. A lot of

0:27:36.119 --> 0:27:38.000
<v Speaker 4>it would be just the different cycles playing out at

0:27:38.040 --> 0:27:42.399
<v Speaker 4>different point. Another one, and I'm very open about admitting this,

0:27:42.520 --> 0:27:46.000
<v Speaker 4>is that you know, in this line of business is

0:27:46.000 --> 0:27:48.160
<v Speaker 4>that one of the most important things is knowing when

0:27:48.160 --> 0:27:52.000
<v Speaker 4>you're wrong. You know, not that I want to be

0:27:52.080 --> 0:27:54.399
<v Speaker 4>wrong often and know a lot, but the links of

0:27:54.440 --> 0:27:56.280
<v Speaker 4>the business is that, you know, we have to be

0:27:56.359 --> 0:27:58.600
<v Speaker 4>able to deal with mistakes. So there will be turnover

0:27:58.680 --> 0:28:01.400
<v Speaker 4>some mistakes, right, you know, we pick the right theme

0:28:01.440 --> 0:28:04.400
<v Speaker 4>but the wrong stock, or we pick the we misstep

0:28:04.400 --> 0:28:06.520
<v Speaker 4>on the whole tam completely. We need to get out

0:28:06.640 --> 0:28:12.600
<v Speaker 4>or economic conditions, economic news. Something changes and you know,

0:28:12.640 --> 0:28:14.600
<v Speaker 4>we don't want to sit there and say now we're

0:28:14.600 --> 0:28:17.240
<v Speaker 4>always going to be right. Things change and we have

0:28:17.320 --> 0:28:19.480
<v Speaker 4>to react to it. And that's what a data driven

0:28:19.520 --> 0:28:24.160
<v Speaker 4>process or fundamentally driven and data driven process can really

0:28:24.160 --> 0:28:26.400
<v Speaker 4>help with. Right, is that we don't anchor, and that's

0:28:26.400 --> 0:28:30.040
<v Speaker 4>a very big psychological hindrance. We anchor like, oh, we

0:28:30.080 --> 0:28:33.159
<v Speaker 4>hate to be wrong, you know. I tend to think

0:28:33.200 --> 0:28:36.000
<v Speaker 4>of successes and not one idea or one theme. It's

0:28:36.280 --> 0:28:39.800
<v Speaker 4>the overall fund right. And if we don't have the

0:28:39.800 --> 0:28:42.720
<v Speaker 4>ability to self criticize or self analyze when we're wrong

0:28:43.080 --> 0:28:46.160
<v Speaker 4>and get out that that's dangerous and that that's also

0:28:46.200 --> 0:28:48.480
<v Speaker 4>going to be a driver of turnover. I hope that

0:28:48.560 --> 0:28:50.720
<v Speaker 4>I wish that's not the case, but unfortunately that will.

0:28:50.840 --> 0:28:52.520
<v Speaker 2>I have to say, I find that really refreshing. I

0:28:52.520 --> 0:28:56.000
<v Speaker 2>think it's especially when it comes to commodities that sometimes

0:28:56.160 --> 0:28:58.480
<v Speaker 2>is one of the biggest challenges when you look at

0:28:59.160 --> 0:29:01.120
<v Speaker 2>or when you follow certain funds. Is it does seem

0:29:01.200 --> 0:29:04.400
<v Speaker 2>to be that there is some hesitancy in sort of

0:29:04.480 --> 0:29:07.280
<v Speaker 2>people just saying, oh, okay, it's not playing out like that.

0:29:07.480 --> 0:29:09.360
<v Speaker 2>Can we wait for the next cycle or is it

0:29:09.400 --> 0:29:12.960
<v Speaker 2>a time to reassess the entire viewpoint. So I think

0:29:12.960 --> 0:29:15.719
<v Speaker 2>that's quite refreshing and interesting to hear.

0:29:16.000 --> 0:29:17.840
<v Speaker 1>And so you know, you already covered this a little

0:29:17.880 --> 0:29:20.960
<v Speaker 1>bit talking about why you know, active is is a

0:29:21.000 --> 0:29:24.400
<v Speaker 1>better approach when it comes to investing in natural resources.

0:29:24.760 --> 0:29:27.120
<v Speaker 1>So I guess, you know, my follow up is to

0:29:28.560 --> 0:29:30.160
<v Speaker 1>you know, is is that part of it, you know,

0:29:30.240 --> 0:29:34.320
<v Speaker 1>being able to sell you know, a position that you

0:29:34.360 --> 0:29:37.240
<v Speaker 1>know you think might not do well going forward.

0:29:37.920 --> 0:29:41.680
<v Speaker 4>That definitely I think the you know, on the byaside,

0:29:41.680 --> 0:29:44.560
<v Speaker 4>I think there's a almost an over emphasis on how

0:29:44.600 --> 0:29:48.080
<v Speaker 4>I got into this at a great point, look how

0:29:48.200 --> 0:29:51.440
<v Speaker 4>how well I did on this? Where if we think

0:29:51.480 --> 0:29:56.400
<v Speaker 4>about successful you know, uh, a successful position is it

0:29:56.440 --> 0:29:59.120
<v Speaker 4>is half of it is your entry where you bought that,

0:29:59.160 --> 0:30:01.240
<v Speaker 4>how much you bought it, that, but just as equally

0:30:01.240 --> 0:30:04.000
<v Speaker 4>important as when you exit it, right, when did you

0:30:04.040 --> 0:30:06.480
<v Speaker 4>sell and did you how much did you sell? It's

0:30:06.520 --> 0:30:11.000
<v Speaker 4>the entry and exit that's that's that's equally important. And

0:30:11.320 --> 0:30:13.920
<v Speaker 4>I think that that's one of the things that I'm

0:30:14.040 --> 0:30:17.360
<v Speaker 4>very cognitive and try to work on again, having a

0:30:17.440 --> 0:30:19.959
<v Speaker 4>lot of technology and having a lot of data, you know,

0:30:20.000 --> 0:30:22.320
<v Speaker 4>with a man group behind you, that that's very important.

0:30:22.920 --> 0:30:25.400
<v Speaker 4>You know, we have a big team of data scientists

0:30:25.400 --> 0:30:29.920
<v Speaker 4>that helps simplistically, when when I look at my process,

0:30:30.240 --> 0:30:31.960
<v Speaker 4>I always like to tell people, you know, there's only

0:30:32.000 --> 0:30:34.240
<v Speaker 4>two things I look at, right, I look at supply

0:30:34.280 --> 0:30:36.560
<v Speaker 4>and I look at demand. Now, within each of those

0:30:36.600 --> 0:30:39.360
<v Speaker 4>there are probably hundreds and thousands of data points that

0:30:39.400 --> 0:30:42.160
<v Speaker 4>you know, we we comb through to get the mosaic

0:30:42.200 --> 0:30:45.320
<v Speaker 4>of the picture of where it is right. But simplistically

0:30:45.400 --> 0:30:48.040
<v Speaker 4>is when supply and demand, when that gap, when that

0:30:48.160 --> 0:30:52.440
<v Speaker 4>balance is widening, you want to buy right regardless of

0:30:52.480 --> 0:30:55.239
<v Speaker 4>what the sentiment is. People may hate this commodity, but

0:30:55.360 --> 0:30:57.840
<v Speaker 4>if it's widening, you want to buy. Then that the

0:30:57.920 --> 0:31:00.880
<v Speaker 4>prices will be at. If it's narrow you want to

0:31:00.880 --> 0:31:03.800
<v Speaker 4>sell right real regardless of it's so cheap, but oh

0:31:03.800 --> 0:31:06.080
<v Speaker 4>we need so much of it. If it's narrowing, you

0:31:06.120 --> 0:31:09.440
<v Speaker 4>want to sell. You know, a great example would be

0:31:09.560 --> 0:31:12.800
<v Speaker 4>natural gas insistens we're talking about. That would be you know,

0:31:13.000 --> 0:31:17.360
<v Speaker 4>when Russia invaded Ukraine, natural gas spike and into that fall,

0:31:18.000 --> 0:31:20.400
<v Speaker 4>you know, natural gas was eight nine dollars by men BTU.

0:31:20.520 --> 0:31:22.040
<v Speaker 4>And there's a view that I can go to twenty

0:31:22.560 --> 0:31:25.720
<v Speaker 4>over the winter because in Europe that it's going to

0:31:25.760 --> 0:31:27.920
<v Speaker 4>get very very tight there. But if you look at

0:31:27.920 --> 0:31:31.080
<v Speaker 4>the underlying supplying demand, was that you see LERG cargo

0:31:31.120 --> 0:31:33.840
<v Speaker 4>ships turning away from Asia going to Europe right because

0:31:34.240 --> 0:31:37.040
<v Speaker 4>China is still in the shutdown and the price arms

0:31:37.080 --> 0:31:40.080
<v Speaker 4>are sending, you want to send LERG to Europe, not

0:31:40.080 --> 0:31:43.320
<v Speaker 4>not not to Asia. So you see you're see more

0:31:43.320 --> 0:31:46.320
<v Speaker 4>supply from that perspective. On the demand side, you're seeing

0:31:46.680 --> 0:31:49.200
<v Speaker 4>you hot water being turned off in public restrooms, You're

0:31:49.200 --> 0:31:53.040
<v Speaker 4>seeing refiners, steel mills, fertilizer plants being shut down. So

0:31:53.320 --> 0:31:56.560
<v Speaker 4>you see the supplying demand gap really narrowing. Now, there

0:31:56.560 --> 0:31:59.080
<v Speaker 4>are still factors where you can drive the upside, something

0:31:59.120 --> 0:32:02.560
<v Speaker 4>like weather, but the unfortunate thing is that nobody can

0:32:02.600 --> 0:32:05.760
<v Speaker 4>really predict weather. And and what happened was exactly when

0:32:05.840 --> 0:32:08.160
<v Speaker 4>turned out, was that you had one of the warmest

0:32:08.200 --> 0:32:11.920
<v Speaker 4>winders in Europe and supply came in and demands stay

0:32:11.960 --> 0:32:14.560
<v Speaker 4>pretty low, and then you had natural gas, you know,

0:32:14.600 --> 0:32:16.080
<v Speaker 4>giving up a lot of the games from earlier in

0:32:16.160 --> 0:32:19.080
<v Speaker 4>the year. Now, the narrative that going into that was like,

0:32:19.160 --> 0:32:21.000
<v Speaker 4>oh boy, it's going to be nuclear winter. It's going

0:32:21.080 --> 0:32:24.400
<v Speaker 4>to be really bad. You're going to have people freezing

0:32:24.400 --> 0:32:28.440
<v Speaker 4>the dev and natural gas prices spiking. Another leg that

0:32:28.560 --> 0:32:32.720
<v Speaker 4>could have happened, but having maybe a global view of

0:32:32.960 --> 0:32:37.040
<v Speaker 4>different data points and supplying demand, that's all it really is.

0:32:37.080 --> 0:32:39.720
<v Speaker 4>And when it's narrowing time to take offers. It doesn't

0:32:39.760 --> 0:32:42.640
<v Speaker 4>matter how cheap it is. Sightly, you take the time

0:32:42.680 --> 0:32:43.600
<v Speaker 4>to take off the exposure.

0:32:44.680 --> 0:32:47.200
<v Speaker 2>And that's a beauty of commodities, right is there's lots

0:32:47.200 --> 0:32:50.520
<v Speaker 2>of data, lots of real time data available nowadays. I

0:32:50.520 --> 0:32:54.640
<v Speaker 2>mean when you think of just the amount of data

0:32:54.680 --> 0:32:59.840
<v Speaker 2>that is out there tracking cargoes and like intricate demand

0:33:00.200 --> 0:33:02.120
<v Speaker 2>in some of these countries related to the commodity use.

0:33:02.920 --> 0:33:06.280
<v Speaker 2>Not to mention the supply, it's amazing over the last

0:33:06.320 --> 0:33:07.960
<v Speaker 2>ten years, I would say how much that's.

0:33:08.040 --> 0:33:10.520
<v Speaker 4>I don't have to give a prop to to my host.

0:33:10.560 --> 0:33:17.080
<v Speaker 4>I mean, Bloomberg has been I am this for so

0:33:17.280 --> 0:33:20.520
<v Speaker 4>long and I'm always surprised by how much data and

0:33:20.560 --> 0:33:23.840
<v Speaker 4>how much uh resources I continue flying from you guys.

0:33:24.000 --> 0:33:26.080
<v Speaker 4>Great job, I mean, it makes my job really a

0:33:26.120 --> 0:33:30.400
<v Speaker 4>lot easier because in a centralized platform that's easy to use.

0:33:30.440 --> 0:33:32.240
<v Speaker 4>But yeah, it did so much data out there.

0:33:32.440 --> 0:33:33.760
<v Speaker 3>I didn't even do that on purpose.

0:33:34.080 --> 0:33:35.680
<v Speaker 4>No, No, that was that was.

0:33:38.520 --> 0:33:40.440
<v Speaker 1>That was a great plug. But actually, speaking of data,

0:33:41.320 --> 0:33:44.160
<v Speaker 1>you know, I do have a question. So natural resources

0:33:44.200 --> 0:33:48.959
<v Speaker 1>typically perform well during periods of high inflation. Does your

0:33:49.000 --> 0:33:52.160
<v Speaker 1>approach change at all. You know, when you know, during

0:33:52.240 --> 0:33:54.000
<v Speaker 1>environments with lower inflation.

0:33:54.480 --> 0:33:56.800
<v Speaker 4>It does it does? It really depends on there there's

0:33:56.840 --> 0:34:00.280
<v Speaker 4>no generic playbook where I'm like, Okay, inflation you buy X,

0:34:01.000 --> 0:34:02.800
<v Speaker 4>and the inflation you buy. But I think a lot

0:34:02.800 --> 0:34:06.040
<v Speaker 4>of if we step back and think about the environments

0:34:06.080 --> 0:34:08.719
<v Speaker 4>where natural resources and commodities do well, and one is

0:34:08.719 --> 0:34:13.759
<v Speaker 4>obviously inflation, right, the seventies inflation cycle, great example, you know,

0:34:13.840 --> 0:34:17.600
<v Speaker 4>last several years with the COVID induced inflation, right, commodities

0:34:17.719 --> 0:34:20.040
<v Speaker 4>was one of the few areas you can play offensive

0:34:20.080 --> 0:34:23.880
<v Speaker 4>in an inflationary environment. But there's another big economic kind

0:34:23.880 --> 0:34:27.279
<v Speaker 4>of situation where commodities do really well, and that's economic inflections.

0:34:27.360 --> 0:34:30.040
<v Speaker 4>If you look at two thousands, China coming in from

0:34:30.080 --> 0:34:34.080
<v Speaker 4>a rural economy to modernizing industrial economy really just you know,

0:34:34.120 --> 0:34:37.680
<v Speaker 4>created that that original supercycle. Right, if we fast forward

0:34:37.680 --> 0:34:40.200
<v Speaker 4>to now and the things we allude to earlier, right,

0:34:41.120 --> 0:34:43.400
<v Speaker 4>we've been in a you know, two three years, the

0:34:43.520 --> 0:34:46.600
<v Speaker 4>stalking cycle already into a beginning of a rate cut

0:34:46.640 --> 0:34:51.440
<v Speaker 4>cycle in a very government that's very pro build and

0:34:51.600 --> 0:34:55.400
<v Speaker 4>grow and and China that is in the process of

0:34:55.440 --> 0:34:58.960
<v Speaker 4>trothing is that you are reaching an economic kind of

0:34:58.960 --> 0:35:02.600
<v Speaker 4>an inflection as well. Well. And those in those situations,

0:35:02.600 --> 0:35:05.480
<v Speaker 4>commodities tend to do very well. Now, different commodities, right

0:35:05.760 --> 0:35:07.319
<v Speaker 4>that what I said about you know, having a a

0:35:07.560 --> 0:35:10.080
<v Speaker 4>there's no standard playbook. Right. If we look at the

0:35:10.120 --> 0:35:13.320
<v Speaker 4>two thousands, iron ore was a great commodity, right, it

0:35:13.440 --> 0:35:16.080
<v Speaker 4>is China coming in, or they didn't have any buildings, right,

0:35:16.200 --> 0:35:19.040
<v Speaker 4>or you had to really go into a building cycle.

0:35:19.320 --> 0:35:21.440
<v Speaker 4>Now if you look at the cycle now, is that Well,

0:35:21.600 --> 0:35:23.440
<v Speaker 4>if China's going to grow again, why won't it be

0:35:23.840 --> 0:35:25.919
<v Speaker 4>you know, why wouldn't iron or be the best one? Well,

0:35:25.920 --> 0:35:28.120
<v Speaker 4>and this one is that they're trying to not create

0:35:28.360 --> 0:35:31.640
<v Speaker 4>another real estate bubble, right. They want to hold that back.

0:35:31.680 --> 0:35:34.719
<v Speaker 4>Now there will be real estate stimulus and the support policies,

0:35:35.000 --> 0:35:37.600
<v Speaker 4>but they don't want to build you know, more ghost towns,

0:35:38.440 --> 0:35:40.200
<v Speaker 4>you know, so there will be different you know. But

0:35:40.239 --> 0:35:41.799
<v Speaker 4>on the other hand, they might be saying, hey, you know,

0:35:41.880 --> 0:35:44.960
<v Speaker 4>right than the export economy or export led GDP growth,

0:35:45.239 --> 0:35:49.680
<v Speaker 4>we want more internal consumption growth. Now, internal consumption versus

0:35:49.800 --> 0:35:53.440
<v Speaker 4>housing property boom? What are the commodity differences? So there

0:35:53.440 --> 0:35:57.359
<v Speaker 4>are nuances again that and that's what drives a dispersion, right,

0:35:57.440 --> 0:35:59.160
<v Speaker 4>is that people then think well, it's just all metals,

0:35:59.160 --> 0:36:01.120
<v Speaker 4>it's just all going to do well, that's not the case.

0:36:01.239 --> 0:36:03.520
<v Speaker 4>Look at the actual supply, look at the actual demand,

0:36:03.800 --> 0:36:06.319
<v Speaker 4>and dig deeper into that, get more granular, and then

0:36:06.320 --> 0:36:08.279
<v Speaker 4>that's when you can really tease out while we think

0:36:08.280 --> 0:36:10.920
<v Speaker 4>this is going to be the olperformer. So there's there's

0:36:10.960 --> 0:36:14.279
<v Speaker 4>no real standard playbook. But in each case is the

0:36:14.680 --> 0:36:17.680
<v Speaker 4>rhythm is the same supply and demand, but the actual

0:36:17.800 --> 0:36:18.880
<v Speaker 4>drivers will be different.

0:36:19.320 --> 0:36:21.799
<v Speaker 1>So actually, just have one more question, you know, I

0:36:21.800 --> 0:36:24.400
<v Speaker 1>do like to ask our guests, you know, a kind

0:36:24.440 --> 0:36:28.239
<v Speaker 1>of a self reflective question. So what advice would you

0:36:28.280 --> 0:36:30.760
<v Speaker 1>give your younger self just starting in the industry.

0:36:31.600 --> 0:36:36.239
<v Speaker 4>That's a great question, I think if I if I

0:36:36.280 --> 0:36:39.040
<v Speaker 4>have a from an investing perspective, we'll be just honestly,

0:36:39.239 --> 0:36:43.040
<v Speaker 4>keep a big picture in your mind, right that the

0:36:43.160 --> 0:36:47.439
<v Speaker 4>micro rarely works without the macro. Uh, you know, read more,

0:36:47.800 --> 0:36:50.800
<v Speaker 4>talk to more different kinds of people, right, macro econgress

0:36:51.200 --> 0:36:54.720
<v Speaker 4>people in the streets. I have a wider view of everything.

0:36:54.800 --> 0:36:54.960
<v Speaker 2>Right.

0:36:55.040 --> 0:36:57.359
<v Speaker 4>Sometimes it's you know, when we invest with we tend

0:36:57.400 --> 0:37:00.279
<v Speaker 4>to overly just concentrate on what we're looking at, you know,

0:37:00.320 --> 0:37:03.160
<v Speaker 4>in the tank case and thank hues and the management team,

0:37:03.160 --> 0:37:06.600
<v Speaker 4>and we don't step back enough. And I think second one,

0:37:06.640 --> 0:37:09.480
<v Speaker 4>honestly would be in a in a longer term basis,

0:37:09.760 --> 0:37:13.120
<v Speaker 4>always be optimistic. Right, we look at all the most

0:37:13.160 --> 0:37:14.759
<v Speaker 4>of the billionaires in the world. They didn't get to

0:37:14.800 --> 0:37:17.000
<v Speaker 4>where they are by being pessimistic. It's that they have

0:37:17.120 --> 0:37:19.839
<v Speaker 4>to be optimistic about something. And I think that's where

0:37:19.840 --> 0:37:22.719
<v Speaker 4>the actual true wealth is really created. Right, in a

0:37:22.800 --> 0:37:26.919
<v Speaker 4>longer term, don't don't bet against humanity and and and

0:37:26.920 --> 0:37:29.920
<v Speaker 4>being optimistic and that we will it does grow. So

0:37:31.160 --> 0:37:31.960
<v Speaker 4>that's good advice.

0:37:32.520 --> 0:37:35.680
<v Speaker 3>You're happy you read Hawk Commodities. Then it was a

0:37:35.719 --> 0:37:36.320
<v Speaker 3>good decision.

0:37:37.800 --> 0:37:38.279
<v Speaker 4>I hope that.

0:37:40.200 --> 0:37:42.640
<v Speaker 1>Well. We enjoyed this out. Thank you again for joining

0:37:42.719 --> 0:37:46.359
<v Speaker 1>us great thanks for having me and Bri. Thanks again

0:37:46.400 --> 0:37:47.720
<v Speaker 1>for serving as my co host.

0:37:48.080 --> 0:37:50.320
<v Speaker 2>Always a pleasure, David, Thank you and thanks.

0:37:50.040 --> 0:37:54.800
<v Speaker 1>So until our next episode, this is David Cone with Inside.

0:37:54.360 --> 0:38:07.640
<v Speaker 4>Act two or to