WEBVTT - Betting (on) the Farm

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<v Speaker 1>Hello, and welcome to What Goes Up, a weekly markets podcast.

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<v Speaker 1>My name is Mike Reagan. I'm a senior editor at Bloomberg.

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<v Speaker 2>And I'm Bildona Hire, a cross asset reporter with Bloomberg, and.

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<v Speaker 1>This week on the show, Veldana. I don't know if

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<v Speaker 1>I've ever told you about this, but sometimes I literally

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<v Speaker 1>have daydreams that I own a farm and I'm like

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<v Speaker 1>off in retirement as a farmer.

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<v Speaker 2>I think everybody has those dreams. No, I don't know,

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<v Speaker 2>did I, especially if you live in the city. You

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<v Speaker 2>want a sort of more nature.

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<v Speaker 1>Filled life, more nature filled life, I guess.

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<v Speaker 2>That makes it, yes, Or you want a garden or

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<v Speaker 2>something like.

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<v Speaker 1>Don't get me wrong, I don't want a giant, five

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<v Speaker 1>hundred acre farm that I actually have to work at.

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<v Speaker 1>I want a cup a few acres.

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<v Speaker 2>You don't want to have to do any work.

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<v Speaker 1>I'll plant some raspberries, maybe get some sheep.

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<v Speaker 2>I think sheep would require a lot of work.

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<v Speaker 1>Do you think? I think you just spring amongst let

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<v Speaker 1>them meet through grass, and shave them down once a year.

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<v Speaker 1>More to it than that? What else do you need

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<v Speaker 1>to do?

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<v Speaker 2>Feed them? I don't know them.

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<v Speaker 1>That's what the grass is for. But anyway, look, it's

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<v Speaker 1>a good week to daydream about being a farmer, because

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<v Speaker 1>let's be honest, if today's Wednesday, May twenty fourth, if

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<v Speaker 1>we tried to cover the market right now, with the

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<v Speaker 1>debt ceiling issue going on and that being so fast

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<v Speaker 1>moving and such a unpredictable thing, I feel like by

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<v Speaker 1>the time we got done, everything would have changed and

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<v Speaker 1>the news would be so different. So I think for

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<v Speaker 1>this week, let's all daydream about owning a farm. If

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<v Speaker 1>I let you on to my farm, I know you

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<v Speaker 1>refuse to join my professional network on LinkedIn for I

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<v Speaker 1>don't know, But if I were to allow you onto

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<v Speaker 1>my imaginary farm network, would what would you grow on

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<v Speaker 1>my farm?

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<v Speaker 2>Tomatoes?

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<v Speaker 1>Just tomatoes.

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<v Speaker 2>We can use them to feed your sheep.

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<v Speaker 1>I don't think sheep eat tomatoes. I think they just

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<v Speaker 1>eat the grass.

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<v Speaker 2>I really don't know.

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<v Speaker 1>Cauliflower. You wouldn't grow cauliflower. You're a city slicker. Yeah,

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<v Speaker 1>I don't know. If I don't know, if I'm gonna

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<v Speaker 1>let you on my farm, on my imaginary.

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<v Speaker 2>Farm, fine, I won't let you on my imaginary firm. Fine,

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<v Speaker 2>But our guests might have a farm. I want to

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<v Speaker 2>bring him in. It's Carter molloy, CEO and founder of

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<v Speaker 2>acre Trader. Carter, I'm so happy to have you on

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<v Speaker 2>the podcast and talk about your company.

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<v Speaker 3>Thanks for having me here.

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<v Speaker 2>First of all, are you on a farm?

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<v Speaker 3>Not today, though many days I am. I also, while

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<v Speaker 3>I would love to invite you guys to my farm,

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<v Speaker 3>I'm also not really sure I want to join.

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<v Speaker 2>The There you go, I'm not the only one.

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<v Speaker 1>Fine, fine, I'm alone on my farm with my raspberry

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<v Speaker 1>and sheep tomato eating sheep. But Carter, tell us about

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<v Speaker 1>acre Trader. Really a fascinating platform you've started here that

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<v Speaker 1>actually lets people and I suppose institutions invest in fractional

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<v Speaker 1>ownerships of farms. Tell us a little bit how it started,

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<v Speaker 1>how it works, and what's going on with acre Trader.

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<v Speaker 3>For the quick background of the business, We've been here

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<v Speaker 3>for five or six years working on this simple mission

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<v Speaker 3>of connecting farmers that want to grow their business to

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<v Speaker 3>investors that want exposure to farm land in their portfolio.

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<v Speaker 3>I grew up in a farming family here in Arkansas.

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<v Speaker 3>I's spit a dozen years in professional equity investing, but

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<v Speaker 3>in the background, I've been buying and selling farmland it's

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<v Speaker 3>a big passion of mine. Come to find out, there

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<v Speaker 3>are a lot of other people that also want exposure.

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<v Speaker 3>The reality is you may have to go put down

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<v Speaker 3>a million dollars and then manage a business, and that's

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<v Speaker 3>a non starter for most people. So we design an acre

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<v Speaker 3>Trader very simply to be a place where an investor

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<v Speaker 3>can come online, create an account, and within a few

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<v Speaker 3>minutes and a few clicks actually invest directly in entities

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<v Speaker 3>that own farmland. So each week we put up a

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<v Speaker 3>farmer too that's owned by a unique entity. You, the

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<v Speaker 3>investor can come on and invest ten twenty thousand dollars

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<v Speaker 3>or millions of dollars and have exposure and build a

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<v Speaker 3>portfolio of farmland through our website and through our technology.

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<v Speaker 2>Okay, so tell us more about how it works and

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<v Speaker 2>like who the investor base is. So, is it accredited

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<v Speaker 2>investors who are really interested in diversifying their portfolios or

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<v Speaker 2>what does the makeup of the client base look like.

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<v Speaker 3>That's correct, It is a credited investors on the platform

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<v Speaker 3>now that ranges from folks in cities to farmers and

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<v Speaker 3>rural areas and folks that live near farming to institutions

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<v Speaker 3>as well. Family offices, et cetera. The goal for most

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<v Speaker 3>folks is to find some stability and some diversification. That's

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<v Speaker 3>often why we see folks with real interest in farmland

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<v Speaker 3>is that slow, in steady compounding that it can offer

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<v Speaker 3>to investors.

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<v Speaker 1>So if I'm a farmer, I own a farm, I

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<v Speaker 1>sell it to one of these entities, I guess they

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<v Speaker 1>serve sort of as the manager of this investment. They

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<v Speaker 1>collect the rent and distributed among the investors. Is that

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<v Speaker 1>basically it.

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<v Speaker 3>Most often the farmer comes to us, actually, and it's

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<v Speaker 3>usually a farmer that wants to grow. If you think

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<v Speaker 3>about this from the farmer's standpoint, many farmers are in

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<v Speaker 3>growth mode. They have lots of fixed costs, right, very

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<v Speaker 3>expensive equipment, more inputs, seed and fertilizer as an example,

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<v Speaker 3>that they buy the better discounts they get with that

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<v Speaker 3>type of economy of scale and that business. Many farmers

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<v Speaker 3>are actively in growth mode. So they'll come to us

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<v Speaker 3>and say, hey, my neighbors retiring or for whatever reason,

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<v Speaker 3>the farm's being sold. There's upwards of one hundred billion

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<v Speaker 3>dollars of farmland that is bought and sold every year

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<v Speaker 3>in the US. So these farmers that are our partners

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<v Speaker 3>are out actively helping source and find farm lay where

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<v Speaker 3>they want to grow their business. And then you're exactly right.

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<v Speaker 3>We set that up where they often will have a

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<v Speaker 3>financial interest in that entity, and then they will either

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<v Speaker 3>share their revenue or pay a simple rent to that entity,

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<v Speaker 3>which then can be a cash distribution out to those investors.

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<v Speaker 3>So the investors from their angle, they can make money

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<v Speaker 3>from those cash rents coming in as well as through

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<v Speaker 3>appreciation of land over time.

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<v Speaker 2>And then tell us more about your background and the

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<v Speaker 2>inputus for starting the company.

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<v Speaker 3>My dad's a farmer. I've been around it my whole life.

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<v Speaker 3>It's just in my line. I think it's in all

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<v Speaker 3>of our life, right. You guys say you have this

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<v Speaker 3>dream of living in agrarian life, it's because we all

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<v Speaker 3>did at some point in generations. Back I spent my

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<v Speaker 3>life grinding out alpha in public markets and working really

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<v Speaker 3>long days on Bloomberg terminal looking for alpha, and in

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<v Speaker 3>the background buying and selling land. And realize that here's

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<v Speaker 3>this multi trillion dollar asset that's been incredibly productive and

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<v Speaker 3>stable over time. There was no real mechanism for most

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<v Speaker 3>folks to get exposure to it, and so that was

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<v Speaker 3>really the genesis the business was frankly visiting with my

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<v Speaker 3>dad and telling him that this is in like twenty seventeen,

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<v Speaker 3>I thought bitcoin was a terrible investment idea. Really that

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<v Speaker 3>sparked this conversation of can we fractionalize farmland? Is there

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<v Speaker 3>a way where common investors can gain exposure to farmland

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<v Speaker 3>their portfolio.

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<v Speaker 1>What's fascinating is the returns are pretty attractive. There is

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<v Speaker 1>actually a farmland index that tracks the notional value of

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<v Speaker 1>farm land. I guess around the country, but talk to

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<v Speaker 1>us a little bit about sort of that return profile.

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<v Speaker 1>My understanding, it's got a pretty good track record. It's

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<v Speaker 1>not really correlated with risk assets or even treasuries. It

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<v Speaker 1>is correlated with inflation to some degree. Talk to us

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<v Speaker 1>about kind of what you can expect from that return

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<v Speaker 1>profile and the volatility and whatnot. As an investor in farmland.

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<v Speaker 3>First is important to consider what farmland is not. Farmland

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<v Speaker 3>is not a good risk quick scheme. You rarely hear

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<v Speaker 3>people saying, oh my gosh, I doubled my money on

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<v Speaker 3>my farmland investment this year. Inversely, you also don't hear

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<v Speaker 3>people saying, oh my gosh, I've lost all my money

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<v Speaker 3>on farmland this year. What investors often I'm looking for

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<v Speaker 3>is that's slow, in steady compounding of capital. And you're right,

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<v Speaker 3>those returns nay Grief is the index that puts out

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<v Speaker 3>those returns for farmland and timberland. Over the last twenty

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<v Speaker 3>or thirty years, it's been a fairly consistent low double

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<v Speaker 3>digit return eleven or twelve percent nothing, oh my goodness.

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<v Speaker 3>But when you compare it to other mainstream asset classes,

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<v Speaker 3>that return profile is pretty similar over long periods of time.

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<v Speaker 3>What's more fascinating is the consistency of those returns. You

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<v Speaker 3>don't have big, huge up years and huge down here

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<v Speaker 3>that you do across so many other mainstream asset classes.

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<v Speaker 3>So again, the consistency of the returns and that relative

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<v Speaker 3>lack of volatility an investor's speak, means that the sharp

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<v Speaker 3>ratio of farmland can be very very attractive the risk

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<v Speaker 3>adjusted returns there. And then in addition to that, you've

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<v Speaker 3>also called out a couple of key themes. What is

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<v Speaker 3>it can be inflation linked. It's actually shown to be

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<v Speaker 3>more inflation linked than gold, in that in times of

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<v Speaker 3>high inflation or persistent inflation, it tends to outperform and

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<v Speaker 3>also that it just doesn't have a lot of correlation

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<v Speaker 3>to other asset classes, like it's almost exactly zero in

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<v Speaker 3>its correlation to the S and P. So from a

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<v Speaker 3>diversification standpoint as well, we see folks adding farmland in

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<v Speaker 3>their portfolio to have that sort of set in and

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<v Speaker 3>forget it part of their portfolio where they're looking for

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<v Speaker 3>company a capital or wealth preservation.

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<v Speaker 2>I was curious about the correlation aspect as well, because

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<v Speaker 2>I was wondering what PUSH's price is higher or lower,

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<v Speaker 2>and whether or not, you know, maybe you can tie

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<v Speaker 2>to the housing market in some way, or what market

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<v Speaker 2>it would be similar to, or where those some of

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<v Speaker 2>those correlations might lie.

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<v Speaker 3>So as a general sense, we don't really see correlations

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<v Speaker 3>to things like housing market or primary asset classes. Where

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<v Speaker 3>we do see some correlation again over longer periods of time,

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<v Speaker 3>is commodities, Right, so you think about we grow food, fuel,

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<v Speaker 3>and fiber on farmland, that tends to be those tend

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<v Speaker 3>to be a core component of commodity CPI PPI type

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<v Speaker 3>of indicators, and so as a result, we do tend

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<v Speaker 3>to be linked to that inflation and price over time.

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<v Speaker 3>And as you can imagine in the world of supply

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<v Speaker 3>and demand for farmland commodities.

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<v Speaker 1>It's fairly straightforward.

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<v Speaker 3>We have more and more mouths to feed every year

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<v Speaker 3>and to provide clothing and fuel to, and frankly like

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<v Speaker 3>less and less actual physical farmland. We lose like staggering

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<v Speaker 3>amounts of farm land every minute and every day here

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<v Speaker 3>in the US to development, to growth onto other now

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<v Speaker 3>larger solar developments, things like that. So finite supply, it's physical,

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<v Speaker 3>and it's limited and is shrinking and growing demand over

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<v Speaker 3>time with the products that we produce.

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<v Speaker 1>So I'm curious about sort of the risk management or

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<v Speaker 1>potential downside of this type of investment. Say, you know,

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<v Speaker 1>I buy a fractional ownership in a farm in a

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<v Speaker 1>state where there's a bad drought or I don't know,

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<v Speaker 1>a bull weavile outbreak or something that really impacts the

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<v Speaker 1>production of whatever they're growing on that farm that year

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<v Speaker 1>so much so that the farmer can't pay his rent

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<v Speaker 1>and maybe even you know, his defaults on his tracker

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<v Speaker 1>lease or equipment or whatever, and it's kind of has

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<v Speaker 1>a net loss for that year. How does that play

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<v Speaker 1>out in an investment like this?

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<v Speaker 3>So we tend to think of the world generally speaking,

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<v Speaker 3>as OpCo and propco. Right, your operating company is the

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<v Speaker 3>farming business. Your property company is owning the underlying land,

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<v Speaker 3>and so we tend to look more to be the

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<v Speaker 3>property company in that scenario. Whereas the farmer is the

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<v Speaker 3>operating company. They often have insurance to help backstop them.

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<v Speaker 3>Often government subsidize insurance at that so as a tenant

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<v Speaker 3>and as a partner, farmers tend to be very stable

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<v Speaker 3>over time, and as a result we see we do

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<v Speaker 3>see very low default into our vacancy rates throughout the ecosystem.

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<v Speaker 3>As an example of that, in the world of row crops,

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<v Speaker 3>so thinking about growing important commodities like corn, soybeans, farmer

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<v Speaker 3>often pays rent once a year before they plant. It's

0:11:30.440 --> 0:11:35.280
<v Speaker 3>an incredibly stable across the larger world of farmland. For

0:11:35.320 --> 0:11:38.520
<v Speaker 3>that reason, there are certainly risks in there, and one

0:11:38.520 --> 0:11:41.040
<v Speaker 3>of the greatest ones is just underwriting risk, making sure

0:11:41.040 --> 0:11:43.880
<v Speaker 3>that you are actually in fact buying farmland well. And

0:11:43.920 --> 0:11:46.240
<v Speaker 3>it's really hard to do because there's such a lack

0:11:46.240 --> 0:11:48.959
<v Speaker 3>of information in our world. So we've invested heavily. We've

0:11:49.000 --> 0:11:51.679
<v Speaker 3>got a large data science and engineering crew here as

0:11:51.679 --> 0:11:56.199
<v Speaker 3>an example, helping to build underlying geospatial analytics and data

0:11:56.240 --> 0:11:58.960
<v Speaker 3>for us just to help inform these underwriting decisions. And

0:11:59.000 --> 0:12:02.200
<v Speaker 3>we've got a great team well outbuilding partnerships with farmers.

0:12:02.360 --> 0:12:04.280
<v Speaker 3>What actually makes it through that that very very tight

0:12:04.360 --> 0:12:05.640
<v Speaker 3>filter that team employees.

0:12:06.200 --> 0:12:07.960
<v Speaker 2>I do want to ask you more about that, because

0:12:08.720 --> 0:12:11.440
<v Speaker 2>when I was talking to some of your employees before

0:12:11.600 --> 0:12:14.160
<v Speaker 2>the podcast, when I met them a couple of weeks ago,

0:12:14.200 --> 0:12:16.920
<v Speaker 2>I think somebody said, it's like, you can almost think

0:12:16.960 --> 0:12:19.600
<v Speaker 2>of it as like the Bloomberg terminal, but for farmland

0:12:19.960 --> 0:12:23.000
<v Speaker 2>statistics and for farmland data. First, I want to ask

0:12:23.040 --> 0:12:27.080
<v Speaker 2>you how is farmland performing of late? And I'm also

0:12:27.200 --> 0:12:31.240
<v Speaker 2>curious how it fared like what prices did during the pandemic,

0:12:31.280 --> 0:12:33.040
<v Speaker 2>for instance, and what it's been like over the last

0:12:33.080 --> 0:12:33.959
<v Speaker 2>couple of years.

0:12:34.600 --> 0:12:38.440
<v Speaker 3>So, as a general statement, on the appreciation side, of

0:12:38.280 --> 0:12:41.960
<v Speaker 3>the years before the pandemic, the five or six years

0:12:41.960 --> 0:12:45.720
<v Speaker 3>before then, we saw relatively muted appreciation. We have seen

0:12:45.840 --> 0:12:48.319
<v Speaker 3>some catch up in that long term call it mean

0:12:48.400 --> 0:12:51.320
<v Speaker 3>reversion in terms of appreciation the last few years so

0:12:51.320 --> 0:12:54.360
<v Speaker 3>we've seen more meaningful, call it double digit versus your

0:12:54.360 --> 0:12:57.560
<v Speaker 3>typical single digit type of growth in the underlying asset.

0:12:58.080 --> 0:13:00.360
<v Speaker 3>The rents themselves are the income coming off the farm

0:13:00.760 --> 0:13:03.120
<v Speaker 3>generally speaking, has also grown over that same time period.

0:13:03.760 --> 0:13:07.360
<v Speaker 1>I'm curious if there's any sort of shareholder democracy type

0:13:07.400 --> 0:13:09.960
<v Speaker 1>of components of this. You know, if I end up owning,

0:13:10.880 --> 0:13:13.480
<v Speaker 1>say fifty one percent of a farm, or you know,

0:13:13.520 --> 0:13:16.800
<v Speaker 1>I own thirty percent and of like mind with someone

0:13:16.800 --> 0:13:20.680
<v Speaker 1>that owns another thirty percent and we have that majority stake,

0:13:21.600 --> 0:13:24.360
<v Speaker 1>is there sort of an option to say, oh, you know,

0:13:25.080 --> 0:13:28.199
<v Speaker 1>I think we need to start growing corn instead of soybeans,

0:13:28.440 --> 0:13:30.240
<v Speaker 1>or I think it's time to sell. Is there any

0:13:30.280 --> 0:13:34.040
<v Speaker 1>sort of equity democracy at action as far as ownership?

0:13:34.080 --> 0:13:37.160
<v Speaker 1>You know, where is it all the the property companies

0:13:37.360 --> 0:13:40.600
<v Speaker 1>and the operating companies that control that? It tends to

0:13:40.600 --> 0:13:41.080
<v Speaker 1>be the latter.

0:13:41.160 --> 0:13:43.880
<v Speaker 3>So we have an investment committee that works on behalf

0:13:43.920 --> 0:13:46.920
<v Speaker 3>of the investors to consider what the best outcomes are

0:13:46.960 --> 0:13:50.079
<v Speaker 3>for those investors on an entity by entity basis. And

0:13:50.320 --> 0:13:52.800
<v Speaker 3>the reason for that is is we and then aside

0:13:52.800 --> 0:13:56.520
<v Speaker 3>from that, we also have common standardized corporate wraps and

0:13:56.559 --> 0:14:00.280
<v Speaker 3>government wraps around these entities for obvious reasons, to be

0:14:00.280 --> 0:14:03.320
<v Speaker 3>pretty standardized across our business. And what we want to

0:14:03.320 --> 0:14:06.600
<v Speaker 3>avoid is a fifty one percent layer coming in and bullying, right,

0:14:06.600 --> 0:14:10.000
<v Speaker 3>and actually making decisions that are averse to the best

0:14:10.000 --> 0:14:12.200
<v Speaker 3>outcome for the rest of that majority or best that

0:14:12.280 --> 0:14:15.040
<v Speaker 3>minority investor pool. So as a whole, that tends to

0:14:15.080 --> 0:14:17.959
<v Speaker 3>be more of the investment committee. Now, look, we speak

0:14:17.960 --> 0:14:20.640
<v Speaker 3>to investors. We've got to investor relations team here. We

0:14:20.680 --> 0:14:23.840
<v Speaker 3>hear their input every day and we certainly take that

0:14:23.680 --> 0:14:26.000
<v Speaker 3>that means a lot to each of these individual investments.

0:14:26.240 --> 0:14:29.360
<v Speaker 3>But again we have to consider the greater hole of

0:14:29.440 --> 0:14:33.440
<v Speaker 3>investment fooled capital there rather than one individual's desires.

0:14:33.840 --> 0:14:37.960
<v Speaker 2>And so carter to go back to the data mining question,

0:14:38.120 --> 0:14:42.120
<v Speaker 2>like how do you guys go about gathering your data

0:14:42.320 --> 0:14:46.680
<v Speaker 2>what actually makes good farmland when you are evaluating it?

0:14:47.280 --> 0:14:50.480
<v Speaker 2>And then where in the US or even internationally are

0:14:50.520 --> 0:14:51.640
<v Speaker 2>you guys operating.

0:14:52.400 --> 0:14:54.640
<v Speaker 3>So in the US we're in I think eighteen or

0:14:54.680 --> 0:14:58.640
<v Speaker 3>nineteen states plus Australia, so we're well o our forty

0:14:58.680 --> 0:15:03.320
<v Speaker 3>thousand acres invested through platform. In terms of what considerations

0:15:03.360 --> 0:15:06.640
<v Speaker 3>go into underwriting, you've got to consider soil profile, so

0:15:06.720 --> 0:15:11.120
<v Speaker 3>the health of that soil water availability is absolutely crucial,

0:15:11.120 --> 0:15:13.960
<v Speaker 3>and or places like the Midwest, actually getting water off

0:15:14.000 --> 0:15:16.360
<v Speaker 3>of the farm is just as important as it is

0:15:16.400 --> 0:15:19.760
<v Speaker 3>finding water. So water is a really intense consideration the

0:15:19.840 --> 0:15:21.960
<v Speaker 3>climate in that area, what is it good to grow?

0:15:22.240 --> 0:15:25.360
<v Speaker 3>And then the financial profile, right, so you're underwriting the

0:15:25.400 --> 0:15:29.000
<v Speaker 3>farmer themselves and that's an entire separate process. And then

0:15:29.160 --> 0:15:31.800
<v Speaker 3>the actual bones of that farm, the structure of it.

0:15:31.840 --> 0:15:34.240
<v Speaker 3>And this is where the data analytics really comes in

0:15:34.280 --> 0:15:37.200
<v Speaker 3>and is helpful. That can be government data sets that

0:15:37.240 --> 0:15:40.280
<v Speaker 3>we're processing and bringing in, satellite data sets as well

0:15:40.280 --> 0:15:43.320
<v Speaker 3>that we're bringing to our tools, and then importantly things

0:15:43.360 --> 0:15:46.000
<v Speaker 3>like comparable sales. I know this sounds ridiculous, but if

0:15:46.040 --> 0:15:47.720
<v Speaker 3>you're buying a home, you've got a pretty good sense

0:15:47.760 --> 0:15:50.120
<v Speaker 3>of value on price per square foot in that neighborhood

0:15:50.520 --> 0:15:53.160
<v Speaker 3>in farmland. Not only do we not have that data,

0:15:53.400 --> 0:15:56.040
<v Speaker 3>but the idiosyncrasies and quality from one partial to the

0:15:56.080 --> 0:15:59.240
<v Speaker 3>next can be pretty dramatic. So as a result for

0:15:59.280 --> 0:16:01.800
<v Speaker 3>gathering data they as an example, we're in with data

0:16:01.800 --> 0:16:04.680
<v Speaker 3>from thousands of courthouses around the US. We also have

0:16:04.720 --> 0:16:08.160
<v Speaker 3>a team of people who are literally going and attending

0:16:08.200 --> 0:16:12.160
<v Speaker 3>auctions virtually or going online and finding information and manually

0:16:12.160 --> 0:16:14.680
<v Speaker 3>and putting into that system. But that's the reality of

0:16:14.960 --> 0:16:16.800
<v Speaker 3>this older industry you work in, is there is a

0:16:16.840 --> 0:16:21.800
<v Speaker 3>real manual data gathering and filtering and analysis process that

0:16:21.920 --> 0:16:25.680
<v Speaker 3>goes into helping us understand and inform each investment decision.

0:16:26.200 --> 0:16:30.240
<v Speaker 1>I was clicking around on the website and for a

0:16:30.320 --> 0:16:33.360
<v Speaker 1>day dream farmer like myself, it's the pictures that are

0:16:33.400 --> 0:16:35.920
<v Speaker 1>just awesome. You know. You get these big aerial views

0:16:35.920 --> 0:16:40.080
<v Speaker 1>of the farms, and there's videos sometimes, and I think

0:16:40.600 --> 0:16:43.320
<v Speaker 1>you've now got me daydreaming about owning a vineyard instead

0:16:43.360 --> 0:16:45.560
<v Speaker 1>of a farm Ville dona. I think I might want

0:16:45.560 --> 0:16:46.040
<v Speaker 1>a vineyard.

0:16:46.080 --> 0:16:48.320
<v Speaker 2>There's a it sounds like you're ready to move.

0:16:50.320 --> 0:16:54.200
<v Speaker 1>California vineyard I've got my eye on after clicking around

0:16:54.200 --> 0:16:57.360
<v Speaker 1>acre Trator. But these daydreams are all adjacent to my

0:16:57.440 --> 0:16:59.720
<v Speaker 1>daydream of winning the lottery, by the way, that that's

0:17:00.160 --> 0:17:01.160
<v Speaker 1>race this is all going to do.

0:17:01.280 --> 0:17:03.040
<v Speaker 2>We even play the lottery.

0:17:04.320 --> 0:17:08.360
<v Speaker 1>When it's over a billion in pay out, A group

0:17:08.440 --> 0:17:11.399
<v Speaker 1>of friends of mine springs in action and we all

0:17:11.880 --> 0:17:13.240
<v Speaker 1>buy a share.

0:17:14.119 --> 0:17:15.919
<v Speaker 2>I don't eyone want to know what the most is

0:17:15.960 --> 0:17:19.560
<v Speaker 2>that you've ever won, like twelve twelve cents.

0:17:19.680 --> 0:17:22.280
<v Speaker 3>Isn't this a podcast about logical and reasonable investing?

0:17:22.680 --> 0:17:28.480
<v Speaker 4>Yes, it's supposed to be, Yes, yes, fair enough, fair enough,

0:17:28.840 --> 0:17:31.560
<v Speaker 4>But Carter, I'm curious what you know sort of the

0:17:31.640 --> 0:17:34.720
<v Speaker 4>regulatory regime is for you.

0:17:34.720 --> 0:17:37.919
<v Speaker 1>You know, are you are you registered investment advisor? Like,

0:17:37.960 --> 0:17:40.439
<v Speaker 1>how does this company exist in the eyes of the

0:17:40.480 --> 0:17:43.080
<v Speaker 1>regulators and what process do you have to go to

0:17:43.960 --> 0:17:48.320
<v Speaker 1>both federally and state by state to launch a product

0:17:48.359 --> 0:17:48.600
<v Speaker 1>like this.

0:17:49.119 --> 0:17:51.280
<v Speaker 3>We've actually gone quite a bit further and stood up

0:17:51.280 --> 0:17:53.880
<v Speaker 3>our own broker dealer, so acri Trader has a wholly

0:17:53.920 --> 0:17:56.800
<v Speaker 3>owned broker dealer in order to make sure that we're

0:17:57.200 --> 0:18:00.680
<v Speaker 3>always compliant with the letter and this period of the law.

0:18:00.800 --> 0:18:03.800
<v Speaker 3>And it extends beyond securities regulation as well. Right there

0:18:03.840 --> 0:18:07.400
<v Speaker 3>are farming regulations you must take into account, ownership regulations,

0:18:07.600 --> 0:18:10.240
<v Speaker 3>a real estate regulation state by state. Suffice to say,

0:18:10.240 --> 0:18:12.639
<v Speaker 3>we have an incredible general counsel and team of attorneys

0:18:12.880 --> 0:18:15.280
<v Speaker 3>that work with her to help us navigate and make

0:18:15.280 --> 0:18:19.120
<v Speaker 3>sure that we're continuously presenting ourselves and the investment offerings

0:18:19.119 --> 0:18:20.840
<v Speaker 3>and the appropriate way and.

0:18:20.840 --> 0:18:24.320
<v Speaker 2>Gard I'm also curious about how liquid the market is.

0:18:24.400 --> 0:18:27.280
<v Speaker 2>I would imagine it's pretty ill liquid, but maybe you

0:18:27.280 --> 0:18:28.119
<v Speaker 2>can tell us more.

0:18:28.840 --> 0:18:32.200
<v Speaker 3>That's correct, So the market as a whole, the percent

0:18:32.280 --> 0:18:36.080
<v Speaker 3>turnover within farmland is lower than comparative assets. There's still

0:18:36.440 --> 0:18:38.879
<v Speaker 3>fifty upwards of one hundred billion dollars of this stuff

0:18:38.920 --> 0:18:41.359
<v Speaker 3>that trades hands every year in the United States alone,

0:18:41.440 --> 0:18:43.880
<v Speaker 3>So there's still quite a bit of There's a ton

0:18:43.920 --> 0:18:46.919
<v Speaker 3>of reasons why folks would buy or sell farmland, right,

0:18:46.920 --> 0:18:49.119
<v Speaker 3>So there is a decent amount of turnover out there.

0:18:49.359 --> 0:18:51.359
<v Speaker 3>We obviously as a company want to help improve that

0:18:51.400 --> 0:18:54.640
<v Speaker 3>liquidity within the market and then within our specific business.

0:18:54.920 --> 0:18:57.440
<v Speaker 3>We've been working on a secondary marketplace for a long

0:18:57.480 --> 0:19:00.119
<v Speaker 3>time where we would hope to allow investors to and

0:19:00.560 --> 0:19:03.639
<v Speaker 3>exchange in individual units or shares of those bums.

0:19:04.119 --> 0:19:05.960
<v Speaker 1>Yeah, I was going to say, I imagine a platform

0:19:06.119 --> 0:19:09.199
<v Speaker 1>like yours would bring a lot more liquidity potentially in

0:19:09.280 --> 0:19:12.200
<v Speaker 1>theory to this market. But as of now, so if

0:19:12.200 --> 0:19:14.199
<v Speaker 1>I put a click around the website, it looks like

0:19:14.240 --> 0:19:16.960
<v Speaker 1>fifteen thousand is tends to be the minimum investment. Is

0:19:17.280 --> 0:19:17.840
<v Speaker 1>that about right?

0:19:18.000 --> 0:19:19.240
<v Speaker 3>Give or take? That's usually right?

0:19:19.320 --> 0:19:23.320
<v Speaker 1>Yeah, So, and I'm locked in for at least a year,

0:19:23.359 --> 0:19:26.160
<v Speaker 1>I think, Right, what's the liquidity event for me? If

0:19:26.160 --> 0:19:28.040
<v Speaker 1>I do want to get out of that investment? How

0:19:28.040 --> 0:19:28.600
<v Speaker 1>does that work?

0:19:28.920 --> 0:19:31.119
<v Speaker 3>So the vehicles usually have a five to ten year

0:19:31.200 --> 0:19:33.560
<v Speaker 3>life on them, sometimes it can be longer, and this

0:19:33.600 --> 0:19:35.840
<v Speaker 3>is explicitly stated on the website. Sometimes it can be

0:19:35.880 --> 0:19:38.439
<v Speaker 3>shorter than that. So there's the duration of the vehicle

0:19:38.480 --> 0:19:40.879
<v Speaker 3>itself that the investor must take into account and the

0:19:40.880 --> 0:19:43.600
<v Speaker 3>illiquidity that comes along with that, and we are looking

0:19:43.640 --> 0:19:46.760
<v Speaker 3>for again this is sort of like your patient investing capital.

0:19:47.119 --> 0:19:49.360
<v Speaker 3>So setting over on the side a little bit, so

0:19:49.600 --> 0:19:52.920
<v Speaker 3>there is a real liquidity consideration in investing in farmland,

0:19:53.280 --> 0:19:56.199
<v Speaker 3>not just your platform, in the asset in general. And

0:19:56.240 --> 0:19:59.080
<v Speaker 3>then again I think you nail the specific point. There's

0:19:59.080 --> 0:20:01.840
<v Speaker 3>a one year minimum regulatory lock up on these types

0:20:01.880 --> 0:20:04.359
<v Speaker 3>of securities, at which point you can have the ability

0:20:04.400 --> 0:20:07.160
<v Speaker 3>to sell out to friends or family and we hope

0:20:07.200 --> 0:20:10.200
<v Speaker 3>soon through a secondary market place within our business as well.

0:20:10.800 --> 0:20:14.600
<v Speaker 2>And then can you tell us about any ESG aspects

0:20:14.800 --> 0:20:18.520
<v Speaker 2>when it comes to investing in farmland? Is that maybe

0:20:18.520 --> 0:20:21.360
<v Speaker 2>one of the considerations or one of the things clients

0:20:21.400 --> 0:20:24.480
<v Speaker 2>do tell you when they are looking to invest. Is

0:20:24.480 --> 0:20:27.359
<v Speaker 2>that a consideration they do, and it's an important one.

0:20:27.560 --> 0:20:29.240
<v Speaker 1>We don't lead with ESG.

0:20:29.480 --> 0:20:31.800
<v Speaker 3>Often that can be like meeting somebody for the first

0:20:31.800 --> 0:20:33.399
<v Speaker 3>time and they say, hey, you can trust me. We

0:20:33.720 --> 0:20:37.320
<v Speaker 3>believe as like stewards of this world we live in,

0:20:37.440 --> 0:20:39.560
<v Speaker 3>and as human beings and it's the right thing to do,

0:20:39.720 --> 0:20:42.439
<v Speaker 3>so the impact for farmers and growing their business is

0:20:42.440 --> 0:20:46.520
<v Speaker 3>certainly important. We enroll each farm in a sustainability standard

0:20:46.560 --> 0:20:49.200
<v Speaker 3>called Leading Harvest, so that we're not just using words

0:20:49.200 --> 0:20:52.399
<v Speaker 3>like regenerative or throwing around buzzwords. This is like a

0:20:52.440 --> 0:20:56.280
<v Speaker 3>merit based, checklist based sustainability standard on a per farm

0:20:56.280 --> 0:20:58.879
<v Speaker 3>basis that we enroll. We actually just passed all of

0:20:58.880 --> 0:21:01.399
<v Speaker 3>our farms through that here recently. We're very proud of

0:21:01.440 --> 0:21:04.639
<v Speaker 3>that milestone. And then beyond that, we do tend to

0:21:04.680 --> 0:21:09.560
<v Speaker 3>invest pretty intensely in things like CAPEX projects, water projects

0:21:09.600 --> 0:21:12.520
<v Speaker 3>to make sure we're utilizing water appropriately and not overusing it.

0:21:12.720 --> 0:21:15.439
<v Speaker 3>We do a good number of organic transitions in some

0:21:15.520 --> 0:21:18.040
<v Speaker 3>cases with farmers as well, so all of those are

0:21:18.440 --> 0:21:21.200
<v Speaker 3>heavily considered in the investment process and an important part

0:21:21.200 --> 0:21:23.359
<v Speaker 3>of what we do. We have an impact page on

0:21:23.400 --> 0:21:26.320
<v Speaker 3>our website where investors can go find that information as well.

0:21:27.200 --> 0:21:30.359
<v Speaker 1>Carter. Obviously, in investing, the magic word that always comes

0:21:30.440 --> 0:21:35.080
<v Speaker 1>up is diversification, and I wonder, obviously, if you're allocating

0:21:35.240 --> 0:21:39.440
<v Speaker 1>some percentage to farmland, you're diversifying away from a lot

0:21:39.440 --> 0:21:44.080
<v Speaker 1>of traditional assets. But I wonder in the future, is

0:21:44.119 --> 0:21:46.400
<v Speaker 1>there do you think there'll be a potential to sort

0:21:46.400 --> 0:21:51.280
<v Speaker 1>of diversify within farmland. For example, say I do want

0:21:51.320 --> 0:21:53.800
<v Speaker 1>to invest fifteen thousand in farmland, but I want it

0:21:53.840 --> 0:21:56.520
<v Speaker 1>split up one thousand over fifteen farms, kind of a

0:21:56.640 --> 0:22:00.199
<v Speaker 1>mutual fund of farmland. Is there a lane for that

0:22:00.280 --> 0:22:01.880
<v Speaker 1>to happen? Do you think in the future.

0:22:02.440 --> 0:22:05.720
<v Speaker 3>We've evaluated a number of pool vehicle type of products,

0:22:05.720 --> 0:22:09.280
<v Speaker 3>and I think there is a likely future where that exists.

0:22:09.720 --> 0:22:12.840
<v Speaker 3>And the other consideration then too is we do see

0:22:13.280 --> 0:22:17.680
<v Speaker 3>lots of folks come build that portfolio within our platform.

0:22:17.880 --> 0:22:20.480
<v Speaker 3>So most of our investors invest in multiple farms. And

0:22:20.800 --> 0:22:23.920
<v Speaker 3>you can think about our world broken into three primary buckets.

0:22:23.920 --> 0:22:28.800
<v Speaker 3>That is row crops, so things that you plant each year, corn, cotton, soybeans,

0:22:29.200 --> 0:22:33.119
<v Speaker 3>rice where I come from. Then there are permanent crops

0:22:33.119 --> 0:22:35.719
<v Speaker 3>things to grow on. Trees tend to be longer duration

0:22:35.800 --> 0:22:39.560
<v Speaker 3>of assets. And then Timberland is a third component of

0:22:39.600 --> 0:22:42.480
<v Speaker 3>this land investing category and it's its own unique beast.

0:22:42.520 --> 0:22:45.040
<v Speaker 3>But we do see folks quite often building a diverse

0:22:45.040 --> 0:23:00.280
<v Speaker 3>flied portfolio within our website across those land use types.

0:23:03.640 --> 0:23:05.720
<v Speaker 1>Carter, we can't let you go just yet. We have

0:23:05.800 --> 0:23:08.640
<v Speaker 1>an attriition here on what goes up where every week

0:23:08.680 --> 0:23:12.320
<v Speaker 1>we talk about the craziest things we saw in markets

0:23:12.400 --> 0:23:17.000
<v Speaker 1>this week, or we're flexible this month, this year, whatever

0:23:17.040 --> 0:23:19.320
<v Speaker 1>you got do. What do you have for us this week?

0:23:19.600 --> 0:23:23.520
<v Speaker 2>Okay? Mine is so good? Actually so Taylor Swift has

0:23:23.600 --> 0:23:26.840
<v Speaker 2>been on tour, as the entire world knows. I think

0:23:26.840 --> 0:23:30.360
<v Speaker 2>it's supposed to be like the highest grossing tour in

0:23:30.560 --> 0:23:34.800
<v Speaker 2>the history of the world. And she played in Gillette

0:23:34.880 --> 0:23:39.160
<v Speaker 2>Stadium a couple of days ago and it was pouring rain.

0:23:40.720 --> 0:23:43.960
<v Speaker 2>And now there's at least one fan I couldn't actually

0:23:44.000 --> 0:23:46.960
<v Speaker 2>tell if it's more than one person who was at

0:23:46.960 --> 0:23:51.440
<v Speaker 2>that show, bottled a bunch of the rain water, put

0:23:51.440 --> 0:23:56.919
<v Speaker 2>it in containers and is selling it on Facebook marketplace

0:23:57.080 --> 0:23:58.640
<v Speaker 2>for two point fifty per container.

0:23:58.840 --> 0:24:00.000
<v Speaker 1>Oh my gosh.

0:24:00.000 --> 0:24:03.160
<v Speaker 2>Well, apparently there were a bunch of comments. I want

0:24:03.200 --> 0:24:06.480
<v Speaker 2>to say they're from swifties who are probably serious about this,

0:24:06.600 --> 0:24:10.480
<v Speaker 2>who commented like, is it rainwater from inside the stadium

0:24:10.560 --> 0:24:14.400
<v Speaker 2>or is it from the parking lot? Because it makes

0:24:14.400 --> 0:24:14.960
<v Speaker 2>a difference.

0:24:15.560 --> 0:24:18.680
<v Speaker 1>Well, that's a big thing. My daughter and her friends

0:24:18.760 --> 0:24:21.040
<v Speaker 1>actually went just to hang out in the parking lot

0:24:21.080 --> 0:24:25.440
<v Speaker 1>in Philadelphia and there were like thirty thousand people there

0:24:25.520 --> 0:24:29.040
<v Speaker 1>just listening from the outside that this is such a

0:24:29.040 --> 0:24:32.840
<v Speaker 1>phenomenon like nothing. All right, next time I'm sending her

0:24:32.880 --> 0:24:34.399
<v Speaker 1>with gallon jobs.

0:24:34.760 --> 0:24:37.320
<v Speaker 2>You just have to label it like the and just

0:24:37.400 --> 0:24:42.800
<v Speaker 2>like Taylor, you know, whatever happened like and.

0:24:42.720 --> 0:24:45.160
<v Speaker 1>There's no room for fraud in that market whatsoever.

0:24:45.280 --> 0:24:48.280
<v Speaker 2>I'm sure you can tell when you look at the

0:24:48.359 --> 0:24:50.800
<v Speaker 2>rainwater that it was from there.

0:24:51.240 --> 0:24:53.520
<v Speaker 1>How about you, Carter, you see anything crazy recently?

0:24:54.119 --> 0:24:54.320
<v Speaker 4>You know?

0:24:55.320 --> 0:24:59.679
<v Speaker 3>The conversation around proposals are banning short selling seems pretty

0:24:59.680 --> 0:25:03.399
<v Speaker 3>wild me, like a really bad idea. We learned that

0:25:03.480 --> 0:25:06.119
<v Speaker 3>once around two thousand and eight, and yet here we are.

0:25:06.119 --> 0:25:08.760
<v Speaker 3>Here we are again, and every person just about involved

0:25:08.800 --> 0:25:11.320
<v Speaker 3>in that decision at that moment came back and said, whoa,

0:25:11.400 --> 0:25:13.320
<v Speaker 3>that was a bad idea. It didn't help. And here

0:25:13.359 --> 0:25:16.080
<v Speaker 3>we are again talking about it. So that one's bothering

0:25:16.080 --> 0:25:18.000
<v Speaker 3>me a little bit. And the other is the obvious

0:25:18.119 --> 0:25:21.159
<v Speaker 3>conversation around the dead ceiling. And let's put aside, like

0:25:21.320 --> 0:25:24.320
<v Speaker 3>the dead ceiling conversation itself, the reality of like black

0:25:24.359 --> 0:25:27.160
<v Speaker 3>Swan events, right, and we get used to the escalator

0:25:27.200 --> 0:25:28.840
<v Speaker 3>on the way up, and we forget there's an elevator

0:25:28.880 --> 0:25:31.200
<v Speaker 3>on the way down in markets and the world of

0:25:31.240 --> 0:25:33.720
<v Speaker 3>black Swan events, it feels like as maybe as I

0:25:33.760 --> 0:25:35.919
<v Speaker 3>get older, they tend to pop their heads up more

0:25:35.920 --> 0:25:38.480
<v Speaker 3>and more and again like a reason why we like

0:25:38.520 --> 0:25:41.040
<v Speaker 3>stability and what we do. But in all seriousness, you know,

0:25:41.119 --> 0:25:44.600
<v Speaker 3>it feels as though many investors don't hedge against that

0:25:44.640 --> 0:25:48.719
<v Speaker 3>appropriately right what we see open calls pretty wide on

0:25:49.080 --> 0:25:50.800
<v Speaker 3>the VIX right now, and so plenty of like doom

0:25:50.840 --> 0:25:53.600
<v Speaker 3>hedging going on, But it still feels like markets don't

0:25:54.280 --> 0:25:58.639
<v Speaker 3>appropriately appreciate, nor do individual investors hedge those types of

0:25:58.720 --> 0:26:00.920
<v Speaker 3>risks in their portfolio.

0:26:00.760 --> 0:26:03.760
<v Speaker 1>Good points all around, and you know, it reminds me

0:26:03.800 --> 0:26:07.840
<v Speaker 1>of I think probably the most appealing or one of

0:26:07.920 --> 0:26:11.280
<v Speaker 1>the most appealing aspects of farmland is that scarcity notion

0:26:11.480 --> 0:26:15.200
<v Speaker 1>and that they're not making any more farmland. When's the

0:26:15.240 --> 0:26:17.880
<v Speaker 1>last time you heard, you know, this neighborhood was torn

0:26:17.960 --> 0:26:20.119
<v Speaker 1>down and a farm was put in its place. So

0:26:20.520 --> 0:26:22.919
<v Speaker 1>the opposite of crypto there with the never ending supply

0:26:23.840 --> 0:26:26.520
<v Speaker 1>scarce and getting scarcer by the day. So all right,

0:26:26.600 --> 0:26:29.280
<v Speaker 1>great stuff all around. I'll give you mine, I confessed

0:26:29.320 --> 0:26:34.160
<v Speaker 1>minds not exactly markets related, but it is financial related.

0:26:34.200 --> 0:26:37.119
<v Speaker 1>And it speaks to duration risk to some degree. I'm

0:26:37.160 --> 0:26:39.920
<v Speaker 1>stretching that a little bit, but I'll give it to

0:26:39.960 --> 0:26:44.760
<v Speaker 1>you anyway. This is courtesy of USA Today. I'll just

0:26:44.760 --> 0:26:48.600
<v Speaker 1>read you the lead because it's speaks for itself. An

0:26:48.640 --> 0:26:53.520
<v Speaker 1>overdue book has been returned to a Northern California library

0:26:53.760 --> 0:26:58.520
<v Speaker 1>after nearly one hundred years. It was the name of

0:26:58.560 --> 0:27:01.880
<v Speaker 1>the book was A History of the United States by

0:27:02.080 --> 0:27:06.040
<v Speaker 1>Benson Lossing, was published in eighteen ninety two. So missing

0:27:06.119 --> 0:27:08.639
<v Speaker 1>a few things in a History of the United States

0:27:08.720 --> 0:27:11.920
<v Speaker 1>published in eighteen ninety two. Somehow some guy found this

0:27:12.040 --> 0:27:16.240
<v Speaker 1>in his house, realized it was a library book, returned

0:27:16.240 --> 0:27:19.359
<v Speaker 1>it to the library. Sure enough, they're very happy to

0:27:19.359 --> 0:27:24.520
<v Speaker 1>have it back ninety six years late. So you're probably

0:27:24.520 --> 0:27:27.760
<v Speaker 1>wondering what's the financial angle of this. Well, now that's

0:27:27.800 --> 0:27:31.000
<v Speaker 1>time to play the prices precise. What do you think

0:27:31.119 --> 0:27:35.880
<v Speaker 1>the estimated overdue fee is for a library book that

0:27:36.040 --> 0:27:40.280
<v Speaker 1>was ninety six years late? Start with you Wildana, get

0:27:40.320 --> 0:27:45.160
<v Speaker 1>out your Texas instrument calculator and start doing some meth.

0:27:45.640 --> 0:27:48.439
<v Speaker 2>This is really hard, and also I can't believe that

0:27:48.560 --> 0:27:51.200
<v Speaker 2>this library is still around and open that they're able

0:27:51.240 --> 0:27:52.520
<v Speaker 2>to accept.

0:27:52.119 --> 0:27:53.879
<v Speaker 1>This book back. That's pretty amazing.

0:27:55.720 --> 0:28:00.000
<v Speaker 2>Okay, I'm going to go with three thousand, seven hundred

0:28:00.160 --> 0:28:00.879
<v Speaker 2>fifty dollars.

0:28:00.920 --> 0:28:05.560
<v Speaker 1>Three thousand, seven hundred and fifty dollars, Carter, standard prices

0:28:05.640 --> 0:28:09.159
<v Speaker 1>right rules. In effect, what do you guess the overdue

0:28:09.760 --> 0:28:10.199
<v Speaker 1>bill is?

0:28:10.359 --> 0:28:12.600
<v Speaker 3>You know, even though we're playing prices right rules, I'll

0:28:12.680 --> 0:28:15.200
<v Speaker 3>lean in a little harder. I'll go ten thousand, ten.

0:28:15.080 --> 0:28:18.280
<v Speaker 1>Thousand, seventeen hundred bucks, which to me is the crazy

0:28:18.320 --> 0:28:22.160
<v Speaker 1>part that it It is only seventeen hundred bucks after

0:28:22.240 --> 0:28:25.960
<v Speaker 1>ninety six years O me. Yeah, I think, well you're

0:28:26.000 --> 0:28:29.240
<v Speaker 1>both over, but I guess your closest. We'll we'll give

0:28:29.240 --> 0:28:33.040
<v Speaker 1>it to you. Okay, I win, all right, all right, fine,

0:28:33.200 --> 0:28:37.240
<v Speaker 1>the rare W for Vildana. The price is precise, but

0:28:37.320 --> 0:28:39.880
<v Speaker 1>the library, you know, it doesn't see obviously they're not

0:28:39.880 --> 0:28:44.320
<v Speaker 1>going to charge this guy because he didn't check it out. Presumably.

0:28:44.320 --> 0:28:46.920
<v Speaker 1>I don't think he's one hundred and thirty years old. Carter.

0:28:47.080 --> 0:28:50.680
<v Speaker 1>Great to catch up with you and hear all about incritrator.

0:28:50.880 --> 0:28:54.480
<v Speaker 1>Really fascinating acid class, I think. And I'm gonna go

0:28:54.520 --> 0:28:57.400
<v Speaker 1>back on there now and daydream about. There's a pistachio

0:28:57.520 --> 0:29:01.120
<v Speaker 1>form too that clut my eye what's your at any

0:29:01.160 --> 0:29:03.240
<v Speaker 1>farms come up that you've just been like, Wow, this

0:29:03.320 --> 0:29:06.600
<v Speaker 1>is this is the one. If I had eight million,

0:29:06.600 --> 0:29:07.440
<v Speaker 1>I'd buy this one.

0:29:07.760 --> 0:29:10.480
<v Speaker 3>You know, I have pretty regularly invested on our platform,

0:29:10.560 --> 0:29:13.520
<v Speaker 3>so I'm a I'm a big fan of what our

0:29:13.560 --> 0:29:16.040
<v Speaker 3>team does and the quality of farm offerings.

0:29:16.480 --> 0:29:20.360
<v Speaker 1>There very diplomatic answer there, I know.

0:29:20.480 --> 0:29:26.160
<v Speaker 2>I was like, that's not even an answer. No one's listening.

0:29:26.240 --> 0:29:27.240
<v Speaker 2>You can tell us.

0:29:28.600 --> 0:29:30.800
<v Speaker 1>Corener, thanks so much for your time. We really appreciate it.

0:29:30.840 --> 0:29:31.880
<v Speaker 3>Michael Donald, thank you both.

0:29:31.880 --> 0:29:32.920
<v Speaker 1>It's been a pleasure.

0:29:41.040 --> 0:29:44.080
<v Speaker 2>What Goes Up. We'll be back next week. Until then,

0:29:44.120 --> 0:29:47.080
<v Speaker 2>you can find us on the Bloomberg Terminal website and app,

0:29:47.600 --> 0:29:50.640
<v Speaker 2>or wherever you get your podcasts. We'd love it if

0:29:50.680 --> 0:29:52.720
<v Speaker 2>you took the time to rate and review the show

0:29:52.800 --> 0:29:55.640
<v Speaker 2>so more listeners can find us. You can find us

0:29:55.720 --> 0:30:01.520
<v Speaker 2>on Twitter, follow me at Bildona Hirich, Mike is at Reaganonymous.

0:30:02.000 --> 0:30:06.520
<v Speaker 2>You can also follow Bloomer Podcasts at podcasts. What Goes

0:30:06.600 --> 0:30:09.120
<v Speaker 2>Up is produced by Stacey Wong, and our head of

0:30:09.160 --> 0:30:12.440
<v Speaker 2>podcasts is Sage Paulman. Thanks for listening, and we'll see

0:30:12.440 --> 0:30:16.040
<v Speaker 2>you next week.