WEBVTT - A Forensic Accountant On Why Chinese Internet Companies Are So Tough To Analyze

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<v Speaker 1>Hello, and welcome to another episode of the Odd Blots podcast.

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<v Speaker 1>I'm Tracy Allaway and I'm Joe wisntal Joe. I don't

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<v Speaker 1>know if you've been following what's going on in Hong

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<v Speaker 1>Kong markets lately, but there is a very very big

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<v Speaker 1>event coming up. Well it's only a few weeks away now,

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<v Speaker 1>although I have to say I'm not exactly sure when

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<v Speaker 1>we're at leasing this episode, but in theory, there is

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<v Speaker 1>a very big event coming up, so much to choose from.

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<v Speaker 1>I feel like, you know, when you say something like, oh,

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<v Speaker 1>I'm not sure if you're following what's going on in

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<v Speaker 1>Hong Kong lately, my mind darts to, like, uh ten

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<v Speaker 1>different things. Yeah, okay, But in the market, there is

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<v Speaker 1>just one thing I think that everyone is focused on

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<v Speaker 1>at the moment, and that is the I p O

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<v Speaker 1>of Ant Group, which is the sort of offshoot of

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<v Speaker 1>Jack Ma's Ali Baba. The big thing about this particular

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<v Speaker 1>I p O is that I think they're aiming for

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<v Speaker 1>evaluation of something like at least two hundred eighty billion dollars,

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<v Speaker 1>which would easily make it the biggest I p O ever,

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<v Speaker 1>and the whole transaction again, it hasn't actually taken place yet,

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<v Speaker 1>but the whole transaction is so big that we're actually

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<v Speaker 1>seeing it affect things like demand for Hong Kong dollars.

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<v Speaker 1>We've seen liquidity in that market Titan. The demand for

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<v Speaker 1>ant shares is expected to be so high that they

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<v Speaker 1>haven't even bothered with Cornerstone investors, which is really unusual

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<v Speaker 1>for an I p O. We're also seeing brokers in

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<v Speaker 1>Hong Kong offer retail investors twenty times leverage on the

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<v Speaker 1>ant shares because they're so certain there's going to be

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<v Speaker 1>a pop on the first day of trading, and everyone

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<v Speaker 1>wants to get an allocation of the equity when it

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<v Speaker 1>first comes out. So it's a really really big deal,

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<v Speaker 1>and you can see that there's a lot of excitement

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<v Speaker 1>around at at the moment. Wow, those are some great stats.

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<v Speaker 1>And I knew it was a big deal, and I

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<v Speaker 1>knew it was a big company, but actually you sort

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<v Speaker 1>of just blew me away with all that stuff. I mean,

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<v Speaker 1>two quick questions for you. A what does AUNT do?

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<v Speaker 1>I mean, I know it's like this big finance thing,

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<v Speaker 1>but I actually have no concept of what the company

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<v Speaker 1>actually does. And be two billion dollars, I mean that's

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<v Speaker 1>got to make it. Whether you know, it's bigger than

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<v Speaker 1>any US financial institution by a laun shot, right, Yeah,

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<v Speaker 1>I think that's right. And if you think think back

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<v Speaker 1>to Saudi Aramco. I mean, there was so much talk

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<v Speaker 1>about Saudi Aramco when they listed on public markets for

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<v Speaker 1>the first time. I think we even did one or

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<v Speaker 1>two episodes about it that ended up being something like

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<v Speaker 1>twenty eight billion dollars raised, so much smaller than what

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<v Speaker 1>we're talking about now. Aunt grew Group. I'm sure I'm

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<v Speaker 1>not going to describe it right, and I'm sure some

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<v Speaker 1>people are going to take issue, but it's basically the

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<v Speaker 1>sort of um I think it's the fintech portion of

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<v Speaker 1>Ali Baba, including Alley Pay, which is one of the

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<v Speaker 1>big big payments providers in China along with we Chat.

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<v Speaker 1>So if you've ever visited China, you know that cash

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<v Speaker 1>is almost non existent at this point, and anywhere you go,

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<v Speaker 1>be it a Starbucks or a street side vendor, you

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<v Speaker 1>can pay using a digital wallet like ally Pay or

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<v Speaker 1>wee Chat. So that's one of the reasons people are

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<v Speaker 1>really excited about it. And of course it's a big

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<v Speaker 1>fintech giant in a very very large market in one

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<v Speaker 1>of the few markets that is really growing at the moment,

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<v Speaker 1>given China's purported economic strength. But of course when it

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<v Speaker 1>comes to this type of growth, particularly in China, there's

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<v Speaker 1>always a question mark over how you're actually measuring that

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<v Speaker 1>and whether those measurements or those numbers are accurate or not,

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<v Speaker 1>you know what I mean, absolutely so, So just to

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<v Speaker 1>step back, just to sort of conceptualize the company, um,

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<v Speaker 1>Ali Baba is this sort of right e commerce powerhouse,

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<v Speaker 1>extraordinary company doing all kinds of things, And so I

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<v Speaker 1>guess you could sort of imagine it is like say,

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<v Speaker 1>like Facebook or some of the US megacap internet companies,

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<v Speaker 1>they have their own like sort of payments apps and

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<v Speaker 1>payments messaging and stuff like that, and so this would

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<v Speaker 1>be this is Ali Baba's. It's gigantic, and they're essentially

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<v Speaker 1>spinning it out into its own publicly traded company that's

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<v Speaker 1>worth the insane amount of money. But as you say,

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<v Speaker 1>you know, with with so many of these UH companies,

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<v Speaker 1>I mean, they produce financials, but all kinds of um

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<v Speaker 1>difficulty really gating from the outside like a true like

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<v Speaker 1>size and scope of the business. Yeah, I guess you

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<v Speaker 1>could think about it as jen if Amazon also owned

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<v Speaker 1>Venmo or something like that, and everyone used Venmo to

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<v Speaker 1>pay for virtually everything in the US. Oh, and also

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<v Speaker 1>that Amazon had a gigantic money market fund that people

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<v Speaker 1>using Venmo could also invest in. That's that's kind of

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<v Speaker 1>Alley Pay in a nutshell. I'm excited now. Okay, So

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<v Speaker 1>for today's episode, we're going to do a deep dive

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<v Speaker 1>onto Chinese internet companies. We're going to get a better

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<v Speaker 1>sense of how they're actually accounting for the growth that

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<v Speaker 1>I just described, and I think we're going to get

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<v Speaker 1>a better idea of whether or not all that excitement

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<v Speaker 1>over future growth is necessarily justified. And to do that,

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<v Speaker 1>we're going to be speaking to Stephen Clapham. He's the

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<v Speaker 1>founder of Behind the balance Sheet and also runs an

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<v Speaker 1>investment and research training consultancy. He recently published a very

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<v Speaker 1>very detailed and expensive report into Chinese internet stocks, looking

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<v Speaker 1>at them from a forensic accounting perspective. So really the

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<v Speaker 1>perfect person to discuss all this with. I think, alright,

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<v Speaker 1>I can't wait. You got me super excited. Okay, all right, Steven,

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<v Speaker 1>welcome to the show. Thanks so much for coming on. Well,

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<v Speaker 1>thank you for having me. So I guess to begin with,

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<v Speaker 1>I'm curious what piqued your interest in Chinese internet stocks

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<v Speaker 1>in particular, because there's no shortage of companies that you

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<v Speaker 1>could be looking at with a forensic accounting background, and

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<v Speaker 1>you chose to look at these ones in particular. I

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<v Speaker 1>think you looked at five of the biggest ones. What

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<v Speaker 1>sparked your interest? Well, Tracy, you said that this report

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<v Speaker 1>was expensive, and in fact, I want to disagree articly

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<v Speaker 1>because I think this report is very cheap and the

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<v Speaker 1>reason I allude at these is five thousand dollars, right, honestly, Tracy,

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<v Speaker 1>five thousand dollars is a argon for this report. And

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<v Speaker 1>before you laugh, and let me explain why. So the

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<v Speaker 1>reason that I looked at this I was commissioned to

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<v Speaker 1>produce this report by a client, and one of my

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<v Speaker 1>training clients is particularly interested in the Chinese um internet

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<v Speaker 1>companies and was concerned that they hadn't been able to

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<v Speaker 1>get to the bottom of the way they were accounting

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<v Speaker 1>in various aspects when we talked about what those aspects were,

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<v Speaker 1>so they asked me if I could help, and I said, yeah,

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<v Speaker 1>of course, and foolishly I completely underestimated how long it

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<v Speaker 1>would take to to do the work. And when I

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<v Speaker 1>tell you that Ali Baba's accounts were a thousand and

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<v Speaker 1>seventy seven pages long, you can probably understand why it's

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<v Speaker 1>quite easy to underestimate how long it would take. And

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<v Speaker 1>so I went back to the clients halfway through the

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<v Speaker 1>work and I said, look, I'm having a better problems

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<v Speaker 1>here because it's taken me far, far longer than than

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<v Speaker 1>I was anticipating. I knew that it would be complicated,

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<v Speaker 1>but I didn't quite understand how much work would be involved.

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<v Speaker 1>And the clients, I know, look, no problem at all.

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<v Speaker 1>I said, Look, the best way around this is I

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<v Speaker 1>don't want to do a bad job for you, but

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<v Speaker 1>equally I don't want to spend a huge amount of

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<v Speaker 1>time and I'm not getting rewarded for so the best compromises,

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<v Speaker 1>why don't I just sell the report once you were

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<v Speaker 1>finished with it and once you've done everything that you

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<v Speaker 1>want to do in the in the stocks. And they

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<v Speaker 1>said that's fine, and so we um, we just put

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<v Speaker 1>the report up on the website a few weeks ago.

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<v Speaker 1>There's been quite a bit of interesting we haven't actually

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<v Speaker 1>started to advertise it yet. Obviously, these are very, very

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<v Speaker 1>big companies, and they are incredibly complicated, and if you

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<v Speaker 1>think about a set of accounts, it's over a thousand

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<v Speaker 1>pages long. The most recent accounts are about half that,

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<v Speaker 1>but it's still a huge amount of time to go through.

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<v Speaker 1>And what we do is we go through word by words,

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<v Speaker 1>number by number, dissecting every element of it. And if

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<v Speaker 1>you're the average institutional investor, you just not have time

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<v Speaker 1>to do this detail work. So that's why five dollars

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<v Speaker 1>is Actually it's not nearly it's not nearly as much

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<v Speaker 1>as it sounds, because it's saved people a huge amount

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<v Speaker 1>of effort and there's a huge amount of effort involved

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<v Speaker 1>on our side and producing it. Okay, So setting aside

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<v Speaker 1>whether five thousand dollars is a fair value or not,

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<v Speaker 1>stepping back a little background, tell us your sort of

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<v Speaker 1>general work. You mentioned that this was originally produced for

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<v Speaker 1>a training client. What do you do for clients when

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<v Speaker 1>you say training clients? And what was the sort of

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<v Speaker 1>request that came in that ultimately led to this research? Oh? Sure,

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<v Speaker 1>so we I mean, our business has got three parts

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<v Speaker 1>to it. We've got our retail side, so we've got

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<v Speaker 1>an online training school for retail investors. So you can

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<v Speaker 1>go there and you can buy one of our courses

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<v Speaker 1>which helps you understand how to invest. And then on

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<v Speaker 1>the institutional side, which two things we do bespoke research

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<v Speaker 1>for people and we run training courses. So we've got

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<v Speaker 1>a forensic accounting course which we started in June and

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<v Speaker 1>we've done I think three hundred people have been through

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<v Speaker 1>that course in the last two and a bit years.

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<v Speaker 1>Obviously fewer people this year because it's a physical in

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<v Speaker 1>perison course, although we've been doing a little bit of

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<v Speaker 1>it on on Zoom. And on the bespoke research side,

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<v Speaker 1>people typically will come to us when they've got a problem,

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<v Speaker 1>they've got a piece of research that is either too

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<v Speaker 1>difficult for them to do in house, or too time

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<v Speaker 1>consuming for them to do in house, or sometimes too

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<v Speaker 1>controversial for them to do in has. Often what happens

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<v Speaker 1>is you own a stock and it goes down, and

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<v Speaker 1>the analyst that's involved in in looking after that position,

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<v Speaker 1>we'll do one of two things while they say he

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<v Speaker 1>or she, while they say, you know what, I think,

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<v Speaker 1>we think I'm in a mistake. We should just get out,

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<v Speaker 1>or they'll say I'm right, We've just got to be patient.

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<v Speaker 1>And often what happens is the portfolio manager doesn't feel

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<v Speaker 1>that the analyst is being able to make the decision

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<v Speaker 1>rationally without emotion, and he doesn't have enough time to

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<v Speaker 1>do the working staff, so they bring me in as

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<v Speaker 1>a sort of independent third party without any emotion attached

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<v Speaker 1>to the holding that can make a rational assessment of

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<v Speaker 1>where the risk and reward lies at this point after

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<v Speaker 1>the shares have fallen. And that's what we do. It

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<v Speaker 1>a little bit of that. And the other thing we

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<v Speaker 1>do is we do forensic accounting research. So people will say,

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<v Speaker 1>you know, I'm thinking of I'm thinking of buying a

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<v Speaker 1>stock and can you please have a look at it?

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<v Speaker 1>Or they'll say we own this stock, can you please

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<v Speaker 1>have look at it? In fact, it won't be a

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<v Speaker 1>surprise to you, Tracy sitting in Hong Kong that Hong

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<v Speaker 1>Kong listed or Chinese based companies are quite a popular

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<v Speaker 1>area for people to ask us to get involved. One

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<v Speaker 1>we did quite recently it was Hutchinson, so a client. Again,

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<v Speaker 1>I mean I do this obviously exclusively for Trump for

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<v Speaker 1>clients that our clients on the training side. I don't

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<v Speaker 1>get random people coming in off the street asked me

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<v Speaker 1>to do fends and accounting reports for them. I do

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<v Speaker 1>it for the people that know me and like my work.

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<v Speaker 1>And this particular client, very big two billion asset manager.

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<v Speaker 1>We're interested in Hutchson because it looked very cheap, and

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<v Speaker 1>he said, can you go and have a deeper dive

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<v Speaker 1>and tell us if it really is cheaper not? And

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<v Speaker 1>that's typically what we do, and this is exactly what

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<v Speaker 1>we did in the case of the fire Chinese internet

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<v Speaker 1>companies Ali Baba, ten Cent, JD, dot Com, Buy Do

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<v Speaker 1>and made To and Ding Dan King. There are those

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<v Speaker 1>five stocks we were asked to look at and to

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<v Speaker 1>look at on a series of I think it was

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<v Speaker 1>a dozen different elements, and there were things like is

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<v Speaker 1>the company flattering at sarnings? Is the company using investment

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<v Speaker 1>gains to boost tarnings? Is it carrying the value of

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<v Speaker 1>enlisted investments? Are they being carried at the correct values?

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<v Speaker 1>So it's a whole string of things that we were

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<v Speaker 1>that we were asked to the camp. That's a really

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<v Speaker 1>helpful description of what you do. I'm curious when it

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<v Speaker 1>comes to Chinese stocks though, are there particular challenges that

0:13:25.080 --> 0:13:30.920
<v Speaker 1>investors face when it comes to things like transparency or

0:13:31.640 --> 0:13:34.320
<v Speaker 1>you know, realistic accounts. I guess this is a criticism

0:13:34.360 --> 0:13:39.400
<v Speaker 1>that we hear about Chinese accounting and Chinese companies quite

0:13:39.440 --> 0:13:45.040
<v Speaker 1>a lot. There's all sorts of issues you face. I mean, clearly,

0:13:45.360 --> 0:13:48.160
<v Speaker 1>the first problem you've got is that the first of

0:13:48.160 --> 0:13:50.760
<v Speaker 1>all I've got is that I don't speak the language.

0:13:51.040 --> 0:13:54.439
<v Speaker 1>I can't read the language. So you're at a massive

0:13:54.559 --> 0:13:58.400
<v Speaker 1>disadvantage relative to looking at a company in the United States.

0:13:58.520 --> 0:14:01.440
<v Speaker 1>Are in the UK, where you've got that sort of

0:14:01.480 --> 0:14:06.160
<v Speaker 1>home country advantage and where you've got local pools of knowledge,

0:14:06.240 --> 0:14:10.320
<v Speaker 1>local sources of intelligence. And we've got some contacts in China.

0:14:10.559 --> 0:14:12.840
<v Speaker 1>But for example, one of the things that the client

0:14:12.920 --> 0:14:16.040
<v Speaker 1>asked us to look into was the role of the

0:14:16.040 --> 0:14:20.720
<v Speaker 1>audit firm and any connections between the partner involved in

0:14:20.720 --> 0:14:23.560
<v Speaker 1>the audit and the companies. And you know, we had

0:14:23.600 --> 0:14:25.920
<v Speaker 1>to say to them, look, we can't really do that

0:14:26.080 --> 0:14:29.800
<v Speaker 1>because we just don't have sufficient knowledge. We don't have

0:14:29.840 --> 0:14:34.120
<v Speaker 1>any feet on the ground in China um to be

0:14:34.200 --> 0:14:37.440
<v Speaker 1>able to assess if there are any hidden links between

0:14:37.920 --> 0:14:42.760
<v Speaker 1>the company and the auditor, whereas in the UK, for example,

0:14:43.280 --> 0:14:45.840
<v Speaker 1>that would be it wouldn't be easy to do. But

0:14:45.880 --> 0:14:49.840
<v Speaker 1>we've got various tools and techniques that we deploy in

0:14:49.920 --> 0:14:52.600
<v Speaker 1>order to make an assessment if that there, if there

0:14:52.640 --> 0:14:55.080
<v Speaker 1>could be that sort of connection. But it would be

0:14:55.120 --> 0:14:57.320
<v Speaker 1>impossible for us to look at something like that in China,

0:14:57.400 --> 0:14:58.960
<v Speaker 1>and we don't we just so we don't. We don't,

0:14:59.080 --> 0:15:02.560
<v Speaker 1>We don't even try. But there's there's a number of

0:15:03.000 --> 0:15:08.480
<v Speaker 1>issues with Chinese companies in general. Obviously the use of

0:15:08.520 --> 0:15:13.160
<v Speaker 1>these variable interest entities is a very common that these

0:15:13.200 --> 0:15:15.960
<v Speaker 1>companies are said, uh and these you know, that has

0:15:16.000 --> 0:15:19.400
<v Speaker 1>a whole set of other issues which we which we

0:15:19.440 --> 0:15:21.600
<v Speaker 1>don't go into detail in this report because they're generic.

0:15:21.840 --> 0:15:24.680
<v Speaker 1>You know, that's a generic thing. What are you buying

0:15:24.720 --> 0:15:27.440
<v Speaker 1>when you buy one of these businesses? And you know,

0:15:27.480 --> 0:15:31.200
<v Speaker 1>there's lots been been written about that, and people I

0:15:31.240 --> 0:15:34.280
<v Speaker 1>think have made their own judgments about whether they find

0:15:34.360 --> 0:15:38.720
<v Speaker 1>that an acceptable risk or an unacceptable risk. Instead, what

0:15:38.800 --> 0:15:41.720
<v Speaker 1>we did here was we drilled down into some of

0:15:41.760 --> 0:15:45.200
<v Speaker 1>the specifics. And many of the specifics are related to

0:15:45.240 --> 0:15:47.280
<v Speaker 1>the nature of these businesses, the fact that they are

0:15:47.560 --> 0:15:51.880
<v Speaker 1>internet businesses and that they're heavily involved in a whole

0:15:52.120 --> 0:15:56.280
<v Speaker 1>investment ecosystem, and so a lot of our work was

0:15:56.600 --> 0:16:16.400
<v Speaker 1>dedicated to that area that part of them. So to

0:16:16.480 --> 0:16:19.520
<v Speaker 1>do some compare and contrast. Obviously, we have our internet

0:16:19.560 --> 0:16:23.920
<v Speaker 1>giants here in the US, Facebook, Amazon, etcetera. Talk to

0:16:24.040 --> 0:16:27.960
<v Speaker 1>us about some of the general differences that are required

0:16:28.040 --> 0:16:32.040
<v Speaker 1>for someone to do serious accounting analysis of the books

0:16:32.400 --> 0:16:35.960
<v Speaker 1>or of the statements of US based Internet companies first

0:16:36.040 --> 0:16:39.040
<v Speaker 1>Chinese ones. Well, I mean some of these companies report

0:16:39.120 --> 0:16:42.440
<v Speaker 1>under US GAP. So there's you know that counting rules

0:16:42.560 --> 0:16:46.160
<v Speaker 1>are the same, um right, ten Cent reports sunder I

0:16:46.280 --> 0:16:48.440
<v Speaker 1>f r S, which I think is quite unusual because

0:16:48.800 --> 0:16:53.680
<v Speaker 1>ordinarily companies that are listed in the US generally have

0:16:53.960 --> 0:16:58.560
<v Speaker 1>gaps as their main language, mean accounting language, but that

0:16:58.680 --> 0:17:01.080
<v Speaker 1>counting rules are exactly the same. But what you've got

0:17:01.120 --> 0:17:04.399
<v Speaker 1>here is if you if you think of Ali Baba

0:17:04.400 --> 0:17:06.959
<v Speaker 1>and Amazon, they're being they're they're kind of similar in

0:17:07.480 --> 0:17:10.280
<v Speaker 1>in concept. I mean they're obviously they do different things

0:17:10.280 --> 0:17:13.679
<v Speaker 1>and their different score ten Cent, gd dot com you

0:17:13.680 --> 0:17:16.440
<v Speaker 1>would think of those in the same light as thinking

0:17:16.480 --> 0:17:20.200
<v Speaker 1>of an Amazon. But if I told you that the

0:17:20.280 --> 0:17:23.040
<v Speaker 1>Ali Baba cants went from over a thousand pages to

0:17:23.119 --> 0:17:25.400
<v Speaker 1>just under five hundred pages, do you know how long

0:17:25.480 --> 0:17:27.560
<v Speaker 1>that counts are for Amazon? Do you want to make

0:17:27.560 --> 0:17:34.200
<v Speaker 1>a guess? A good guess? So you're You're obviously practiced

0:17:34.200 --> 0:17:38.760
<v Speaker 1>at this game, because the Amazon accounts in twenty nineteen,

0:17:39.160 --> 0:17:43.320
<v Speaker 1>including Jeff Bezos's letter at the front, which is an

0:17:43.320 --> 0:17:47.920
<v Speaker 1>addendum to the actual pen K filing, was only eighty

0:17:47.920 --> 0:17:52.240
<v Speaker 1>seven pages, so their cants are much much simpler there

0:17:52.400 --> 0:17:57.159
<v Speaker 1>and an Amazon um I think, although I disagree with

0:17:57.240 --> 0:17:59.560
<v Speaker 1>some of it's some of the way it presents its numbers.

0:17:59.600 --> 0:18:01.840
<v Speaker 1>You know, I wrote a blog a little while ago

0:18:01.880 --> 0:18:04.680
<v Speaker 1>about the fact that it presents its free cash flow

0:18:04.800 --> 0:18:09.400
<v Speaker 1>in three different ways, all of them wrong in my view.

0:18:10.040 --> 0:18:12.879
<v Speaker 1>I've got a different definition, but at least it is

0:18:12.960 --> 0:18:15.760
<v Speaker 1>quite helpful in the way it presents its numbers. Some

0:18:15.880 --> 0:18:18.840
<v Speaker 1>of these Chinese companies are I would open it they're

0:18:18.920 --> 0:18:23.160
<v Speaker 1>less helpful than ANALYSM. Sorry, can you just dive into

0:18:23.200 --> 0:18:26.679
<v Speaker 1>that point? So how are the numbers less helpful? And

0:18:27.000 --> 0:18:29.280
<v Speaker 1>I'm aware that, you know, one of the criticisms of

0:18:29.440 --> 0:18:35.359
<v Speaker 1>tech companies all over the world is flattering their growth figures,

0:18:36.040 --> 0:18:39.320
<v Speaker 1>you know, how many users they have on their platform.

0:18:39.760 --> 0:18:44.000
<v Speaker 1>There's also, I guess, the use of non gap metrics,

0:18:44.080 --> 0:18:48.760
<v Speaker 1>the most famous being uh we work and community adjusted EBITDA.

0:18:49.359 --> 0:18:51.639
<v Speaker 1>Is that the kind of thing that you're that you

0:18:51.720 --> 0:18:55.240
<v Speaker 1>found in your report. Yeah, absolutely, I mean the use

0:18:55.320 --> 0:18:59.520
<v Speaker 1>of non gap. I mean this isn't a criticism solely

0:18:59.560 --> 0:19:01.760
<v Speaker 1>of these and Neese companies. I mean it's that it's

0:19:02.280 --> 0:19:06.359
<v Speaker 1>very prevalent throughout Less and Pole hundred as well. Um.

0:19:06.400 --> 0:19:10.000
<v Speaker 1>But you know these companies, the non gap numbers and

0:19:10.040 --> 0:19:15.600
<v Speaker 1>the gap numbers are there often miles apart, not so

0:19:15.880 --> 0:19:17.560
<v Speaker 1>much in the case of ten cents, but in the

0:19:17.560 --> 0:19:22.040
<v Speaker 1>case of all there for they're very significant differences. And

0:19:22.280 --> 0:19:25.199
<v Speaker 1>you know one of the main differences, which isn't a

0:19:25.200 --> 0:19:28.239
<v Speaker 1>criticism of the Chinese companies, more a criticism of the

0:19:28.240 --> 0:19:33.399
<v Speaker 1>way the South Side community treats the reporting these days.

0:19:34.400 --> 0:19:37.840
<v Speaker 1>But they all make huge adjustments for stock based compensation.

0:19:38.480 --> 0:19:39.879
<v Speaker 1>So I think in the case of Ali Baba, but

0:19:39.960 --> 0:19:42.840
<v Speaker 1>I remember correctly, it was something like five billion dollars

0:19:43.560 --> 0:19:48.400
<v Speaker 1>um and that obviously stock based compensation is a real

0:19:48.560 --> 0:19:51.679
<v Speaker 1>expense because if you didn't give people stock, you'd have

0:19:51.720 --> 0:19:55.440
<v Speaker 1>to pay them real money. And it's a real expense

0:19:55.600 --> 0:19:59.560
<v Speaker 1>because it comes at the expense of shareholders, shield shareholders

0:20:00.080 --> 0:20:04.160
<v Speaker 1>lucid to the extent that these shares are issued. So

0:20:04.880 --> 0:20:09.440
<v Speaker 1>it's daft. I think that analysts ignore this number when

0:20:09.480 --> 0:20:13.440
<v Speaker 1>they're calculating earnings because if they weren't, it wasn't stock based,

0:20:13.480 --> 0:20:16.600
<v Speaker 1>it'd be cash and they wouldn't ignore it. So I

0:20:16.640 --> 0:20:19.840
<v Speaker 1>think this is just you know, one aspect. But the

0:20:20.080 --> 0:20:24.680
<v Speaker 1>one of the big elements in the Chinese group which

0:20:24.760 --> 0:20:29.840
<v Speaker 1>is different from the US peers is the use of

0:20:29.920 --> 0:20:33.639
<v Speaker 1>investment gains to flatter profits. Do you see a lot

0:20:34.040 --> 0:20:39.560
<v Speaker 1>of gains on either the sale of investments or on

0:20:39.840 --> 0:20:43.520
<v Speaker 1>the revaluation of investments. And this isn't to say that

0:20:43.560 --> 0:20:47.479
<v Speaker 1>these companies are doing anything wrong because the counting rules

0:20:47.720 --> 0:20:51.560
<v Speaker 1>I think are slightly daft in in in this in

0:20:51.560 --> 0:20:57.680
<v Speaker 1>this respect, because what happens here is that I've got

0:20:57.680 --> 0:21:03.680
<v Speaker 1>an investment in company X. Company X is a young,

0:21:03.960 --> 0:21:08.040
<v Speaker 1>fast growing Chinese internet company. It's hungry for capital, so

0:21:08.119 --> 0:21:10.359
<v Speaker 1>it needs more capital, and it decides to bring in

0:21:10.520 --> 0:21:16.000
<v Speaker 1>an outside shareholder. When outside shareholder makes an investment, it's

0:21:16.040 --> 0:21:19.160
<v Speaker 1>likely to be at a higher price than the price

0:21:19.320 --> 0:21:23.080
<v Speaker 1>which I have invested, And accounting rules require you to

0:21:23.760 --> 0:21:27.840
<v Speaker 1>revalue the investment and book the game through the p now,

0:21:28.400 --> 0:21:34.119
<v Speaker 1>which it's obviously ludicrous. I mean, whoever thought up this

0:21:34.320 --> 0:21:38.280
<v Speaker 1>accounting standard, I don't know what planet they were that

0:21:38.480 --> 0:21:40.720
<v Speaker 1>they were wrong but I think it's a I think

0:21:40.760 --> 0:21:44.480
<v Speaker 1>it's a silly system. And I'm not saying that the

0:21:44.560 --> 0:21:48.119
<v Speaker 1>companies are doing anything wrong by adopting this. This is

0:21:48.160 --> 0:21:51.400
<v Speaker 1>what they're required to do, but it gives a misleading

0:21:51.480 --> 0:21:56.440
<v Speaker 1>representation of their profitability. So this should be a balance

0:21:56.520 --> 0:22:00.480
<v Speaker 1>sheet item as opposed to something that would flow down

0:22:00.520 --> 0:22:02.600
<v Speaker 1>to the bottom line basically, if we're trying to get

0:22:02.600 --> 0:22:05.280
<v Speaker 1>a true understanding of the company. Yeah, well, I mean

0:22:05.400 --> 0:22:08.480
<v Speaker 1>I would argue that it shouldn't even be adopted in

0:22:08.520 --> 0:22:10.840
<v Speaker 1>the balance sheet. You might want to note what the

0:22:11.000 --> 0:22:15.159
<v Speaker 1>what most recent valuation was, because obviously it's helpful for investors.

0:22:15.200 --> 0:22:17.960
<v Speaker 1>But to give you an example, in the case of

0:22:18.000 --> 0:22:21.720
<v Speaker 1>Ali Baba mean Ali Baba and had an investment in

0:22:21.760 --> 0:22:26.119
<v Speaker 1>a business and the investment was being reorganized and these

0:22:26.359 --> 0:22:33.359
<v Speaker 1>are almost invariably very complicated structuring. So this particular investment

0:22:34.000 --> 0:22:38.200
<v Speaker 1>was an investment that they held jointly without financial and

0:22:38.880 --> 0:22:42.280
<v Speaker 1>the business was restructured by being merged with another business.

0:22:43.000 --> 0:22:46.360
<v Speaker 1>And who should come in to make an investment in it?

0:22:46.440 --> 0:22:51.600
<v Speaker 1>But soft Bank. Now we all know that soft Bank

0:22:51.840 --> 0:22:55.879
<v Speaker 1>is not the most disciplined purchaser of assets, and that

0:22:55.880 --> 0:23:00.159
<v Speaker 1>they've been prepared to invest on the basis of a

0:23:00.240 --> 0:23:05.800
<v Speaker 1>longer term vision than most other more ordinary shareholders would

0:23:05.800 --> 0:23:07.920
<v Speaker 1>be prepared to say so, being prepared to pay very

0:23:08.000 --> 0:23:13.879
<v Speaker 1>high prices for some assets that I think are quite questionable.

0:23:15.160 --> 0:23:19.840
<v Speaker 1>So Ali Baba also owns it is also partly owned

0:23:19.880 --> 0:23:22.240
<v Speaker 1>by soft Bank, So soft Bank owns a big steak

0:23:22.280 --> 0:23:26.960
<v Speaker 1>in Ali Baba. So what you have is SoftBank coming

0:23:27.000 --> 0:23:30.960
<v Speaker 1>in paying a very high price for one of Alabama's assets,

0:23:31.080 --> 0:23:35.399
<v Speaker 1>and Ali Baba then revaluing the value of that asset

0:23:35.440 --> 0:23:37.959
<v Speaker 1>in its books and taking a difference to profit loss account.

0:23:38.480 --> 0:23:42.200
<v Speaker 1>What could go wrong? Well, um, just on that note,

0:23:42.400 --> 0:23:45.840
<v Speaker 1>could you maybe talk a little bit more about related

0:23:45.920 --> 0:23:50.200
<v Speaker 1>party transactions because this is something that also crops up

0:23:50.640 --> 0:23:53.280
<v Speaker 1>quite a bit with Chinese companies, where you often have

0:23:53.520 --> 0:23:58.040
<v Speaker 1>this sort of shadowy network of companies that are tangentially

0:23:58.280 --> 0:24:02.600
<v Speaker 1>related to each other and are sometimes, if not self dealing,

0:24:03.280 --> 0:24:06.160
<v Speaker 1>lending each other helping hand when it comes to things

0:24:06.200 --> 0:24:11.320
<v Speaker 1>like funding. What examples of that did you find? There

0:24:11.359 --> 0:24:14.959
<v Speaker 1>are a lot of related party transactions in in in

0:24:15.000 --> 0:24:18.879
<v Speaker 1>these companies. Ali Baba is actually not the not the

0:24:19.480 --> 0:24:22.200
<v Speaker 1>main culprit here. I think it was g D dot

0:24:22.240 --> 0:24:26.240
<v Speaker 1>Com had the largest exposure it's related party transactions and

0:24:26.280 --> 0:24:28.760
<v Speaker 1>the problem with the lated party transactions, and that we

0:24:28.760 --> 0:24:33.000
<v Speaker 1>we cover this in our forensic accounting course for our

0:24:33.040 --> 0:24:38.000
<v Speaker 1>institutional clients. We also cover it in online courses for

0:24:38.080 --> 0:24:41.199
<v Speaker 1>retail investors to say, look, one of the first things

0:24:41.240 --> 0:24:43.600
<v Speaker 1>that we look at when we open this out of accounts,

0:24:43.600 --> 0:24:47.720
<v Speaker 1>we look at the related parties, not because if there

0:24:47.760 --> 0:24:52.000
<v Speaker 1>are a string of related party transactions, you then have

0:24:52.119 --> 0:24:55.639
<v Speaker 1>to ask yourself, well, who's who's verifying this? How do

0:24:55.720 --> 0:24:58.040
<v Speaker 1>we know that these numbers are accurate? How do we

0:24:58.160 --> 0:25:02.280
<v Speaker 1>know that we're not being disadvantaged? And it's almost impossible

0:25:02.359 --> 0:25:07.119
<v Speaker 1>for the outside investor to make a rational judgment of this,

0:25:08.200 --> 0:25:11.600
<v Speaker 1>and equally, it's probably pretty difficult for the auditor to

0:25:11.680 --> 0:25:16.080
<v Speaker 1>make a real assessment of have the related party transaction

0:25:16.080 --> 0:25:19.600
<v Speaker 1>has been booked correctly in their cants? And so many

0:25:19.640 --> 0:25:22.719
<v Speaker 1>of the frauds that I studied when I was originally

0:25:22.760 --> 0:25:26.440
<v Speaker 1>building the forensic accounting course, I went to spent time

0:25:26.440 --> 0:25:30.560
<v Speaker 1>in the British Library and I poured through all sorts

0:25:30.600 --> 0:25:33.639
<v Speaker 1>of academic studies. I poured through lots of accounts. I

0:25:33.680 --> 0:25:38.080
<v Speaker 1>looked back at past frauds, and many of them. One

0:25:38.119 --> 0:25:42.520
<v Speaker 1>of the one of the key signals in advance was

0:25:42.800 --> 0:25:46.879
<v Speaker 1>related party transactions. And where you've got related party transaction,

0:25:47.080 --> 0:25:50.320
<v Speaker 1>you just don't know what the motivation is and you

0:25:50.359 --> 0:25:54.400
<v Speaker 1>don't know whether you are being fairly treated, and that's

0:25:54.440 --> 0:25:57.119
<v Speaker 1>a huge it's always a huge risk. So what I

0:25:57.160 --> 0:26:00.280
<v Speaker 1>say to the to my retail clients is that if

0:26:00.320 --> 0:26:03.440
<v Speaker 1>you open their hands and there's a page related party transactions,

0:26:03.960 --> 0:26:08.280
<v Speaker 1>it's probably it's probably not worthwhile pursuing that as a

0:26:08.320 --> 0:26:11.840
<v Speaker 1>potential investment because it could take you a huge amount

0:26:11.880 --> 0:26:14.720
<v Speaker 1>of time to verify, and even then you may not

0:26:14.960 --> 0:26:18.120
<v Speaker 1>know that you've got the right answer. So what else

0:26:18.200 --> 0:26:20.520
<v Speaker 1>is in there? I mean, you mentioned that the ali

0:26:20.600 --> 0:26:24.160
<v Speaker 1>Baba accounts are five hundred pages, the Amazon accounts are

0:26:24.200 --> 0:26:28.720
<v Speaker 1>eighty seven pages. What else is found in that four

0:26:28.800 --> 0:26:34.040
<v Speaker 1>hundred and thirteen page gap that fundamentally makes the analysis

0:26:34.200 --> 0:26:37.320
<v Speaker 1>of an Ali Baba more complicated and more work than

0:26:37.359 --> 0:26:40.840
<v Speaker 1>the analysis of Amazon. But I mean, it's just this

0:26:40.920 --> 0:26:46.680
<v Speaker 1>year's scale volume, number of transactions that they're doing, apart

0:26:46.680 --> 0:26:49.280
<v Speaker 1>from anything else. You know, when we when we look

0:26:49.320 --> 0:26:52.359
<v Speaker 1>at companies that are doing a lot of acquisitions and disposals,

0:26:52.960 --> 0:26:58.520
<v Speaker 1>it's very difficult to determine what's actually going on, because

0:26:58.560 --> 0:27:01.240
<v Speaker 1>where you've got a lot of acquisitions, and even where

0:27:01.240 --> 0:27:05.440
<v Speaker 1>you've got disposals, the underlying cash flows can be obscured.

0:27:06.040 --> 0:27:09.880
<v Speaker 1>Just they explain what I mean using perhaps a simpler

0:27:09.880 --> 0:27:14.760
<v Speaker 1>example would be you know, you often see rolloups platform

0:27:14.800 --> 0:27:18.199
<v Speaker 1>companies where they're making acquisition after acquisition. One of the

0:27:18.240 --> 0:27:20.879
<v Speaker 1>things that we worry about when we see these is

0:27:20.920 --> 0:27:23.920
<v Speaker 1>when you look at the operating cash flow in any year,

0:27:24.640 --> 0:27:27.080
<v Speaker 1>you don't know how much of the cash flow has

0:27:27.119 --> 0:27:31.199
<v Speaker 1>been generated from the business itself and how much of

0:27:31.200 --> 0:27:34.840
<v Speaker 1>the cash flow has been generated from improving, for example,

0:27:34.920 --> 0:27:38.360
<v Speaker 1>the working capital in the businesses you acquired last year.

0:27:38.880 --> 0:27:41.399
<v Speaker 1>And you often see this in rollouts where they'll do

0:27:41.480 --> 0:27:44.480
<v Speaker 1>a lot of acquisitions of of mom and pop businesses.

0:27:45.400 --> 0:27:47.720
<v Speaker 1>They buy the mom and pop businesses which maybe didn't

0:27:47.760 --> 0:27:51.359
<v Speaker 1>have an independent credit controller, and they'll enforce very strict

0:27:51.480 --> 0:27:55.080
<v Speaker 1>terms and their customers, and immediately they get a cash

0:27:55.160 --> 0:27:59.280
<v Speaker 1>return in that they're working capital shrinks, so they're operating

0:27:59.320 --> 0:28:03.119
<v Speaker 1>cash flow looks much better than it really would would

0:28:03.160 --> 0:28:06.680
<v Speaker 1>do were it not continuing to make acquisitions. And that's

0:28:06.720 --> 0:28:08.760
<v Speaker 1>fine as long as you carry on making more and

0:28:08.800 --> 0:28:12.240
<v Speaker 1>more acquisitions and and repeating the formula, But as soon

0:28:12.280 --> 0:28:16.359
<v Speaker 1>as you stop, what often happens with these businesses is

0:28:16.400 --> 0:28:19.760
<v Speaker 1>the cash flow on wines and it's the exact same

0:28:20.119 --> 0:28:23.360
<v Speaker 1>thing is true, but on a different scale for these

0:28:23.480 --> 0:28:28.000
<v Speaker 1>Chinese companies because they're making loads and laws of acquisitions

0:28:28.000 --> 0:28:32.280
<v Speaker 1>and disposals each year, and so trying to divorce what's

0:28:32.320 --> 0:28:35.400
<v Speaker 1>going on in their core business with what's going on

0:28:35.920 --> 0:28:39.280
<v Speaker 1>as a result of acquisitions is extremely difficult. Now, they

0:28:39.280 --> 0:28:43.960
<v Speaker 1>would probably argue that they're investing in young, immature businesses,

0:28:44.360 --> 0:28:47.600
<v Speaker 1>and to the extent that they're making acquisitions, they're probably

0:28:47.640 --> 0:28:51.320
<v Speaker 1>having to invest in the working capital, so that the

0:28:51.920 --> 0:28:55.400
<v Speaker 1>actual cash flows are worse than they would otherwise be.

0:28:56.080 --> 0:29:00.160
<v Speaker 1>But you're seeing um also a change in the coversation

0:29:00.200 --> 0:29:03.160
<v Speaker 1>of the businesses. So more of these businesses are going

0:29:03.240 --> 0:29:08.320
<v Speaker 1>to subscription type models in which customers are paying in advance.

0:29:08.800 --> 0:29:12.080
<v Speaker 1>So obviously the opposite is true, and their cash flows

0:29:12.280 --> 0:29:15.200
<v Speaker 1>would then be enhanced relative to what they would have

0:29:15.240 --> 0:29:19.720
<v Speaker 1>been if they hadn't been making acquisitions. So the most

0:29:19.840 --> 0:29:24.080
<v Speaker 1>complicated part of this is the fact that there's lots

0:29:24.120 --> 0:29:28.360
<v Speaker 1>and lots of moving parts and they're all moving very quickly,

0:29:28.800 --> 0:29:31.680
<v Speaker 1>and that's what makes the makes the job of understanding

0:29:31.680 --> 0:29:50.880
<v Speaker 1>the business much much more complicated. So your description of

0:29:51.160 --> 0:29:55.480
<v Speaker 1>add backs just reminded me very much of Valiance roll

0:29:55.600 --> 0:29:58.080
<v Speaker 1>up strategy back in the day, and I remember one

0:29:58.120 --> 0:30:00.920
<v Speaker 1>of the issues with the roller was that you ended

0:30:00.960 --> 0:30:04.080
<v Speaker 1>up getting a lot of add backs where the company

0:30:04.200 --> 0:30:10.280
<v Speaker 1>would add back line items for acquisitions. So, for instance,

0:30:10.400 --> 0:30:13.560
<v Speaker 1>if it expected a transformational m and a deal to

0:30:14.000 --> 0:30:17.520
<v Speaker 1>really add to its bottom line, it would add back

0:30:17.720 --> 0:30:21.680
<v Speaker 1>extra revenue or extra profit into its accounts. Is that

0:30:21.840 --> 0:30:25.360
<v Speaker 1>something that you see with Chinese companies and does that

0:30:25.440 --> 0:30:29.760
<v Speaker 1>also impact they're funding because again going back to the

0:30:29.840 --> 0:30:34.000
<v Speaker 1>Valiant example, I remember that the ad backs basically made

0:30:34.080 --> 0:30:38.840
<v Speaker 1>Valiant appear a lot less leverage than it otherwise would

0:30:38.880 --> 0:30:42.000
<v Speaker 1>have appeared, which allowed it to tap the debt market

0:30:42.160 --> 0:30:45.280
<v Speaker 1>relatively cheaply for a very long time and keep buying

0:30:45.480 --> 0:30:50.080
<v Speaker 1>extra companies. Yeah. I mean Valiant is a very curious

0:30:50.200 --> 0:30:55.600
<v Speaker 1>example because there was such a massive difference between the

0:30:55.680 --> 0:30:59.280
<v Speaker 1>numbers that analysts were focusing on and the numbers which

0:30:59.280 --> 0:31:02.960
<v Speaker 1>were being report that you would have imagined that people

0:31:03.000 --> 0:31:06.880
<v Speaker 1>would have spent more time focusing on that. I think

0:31:06.920 --> 0:31:12.520
<v Speaker 1>the case of these Chinese companies is slightly different. If

0:31:12.560 --> 0:31:16.400
<v Speaker 1>I told you that if you looked at the last

0:31:16.520 --> 0:31:21.240
<v Speaker 1>five years for these five companies, um and I told

0:31:21.280 --> 0:31:26.560
<v Speaker 1>you that they had made investments in the Chinese, predominantly Chinese,

0:31:26.560 --> 0:31:29.720
<v Speaker 1>and they made a very small number of acquisitions, very

0:31:29.760 --> 0:31:33.600
<v Speaker 1>small volume of acquisitions overseas. But they basically they've invested

0:31:33.840 --> 0:31:39.320
<v Speaker 1>in a huge range of Chinese venture capital. And if

0:31:39.360 --> 0:31:43.720
<v Speaker 1>I told you that they had spent nearly three trillion,

0:31:44.840 --> 0:31:48.920
<v Speaker 1>that's trillion, remember in the last five years. So what's

0:31:48.960 --> 0:31:54.920
<v Speaker 1>that that's like five vision funds, these five companies in

0:31:55.040 --> 0:31:58.200
<v Speaker 1>five years. I like, how we measure everything in vision

0:31:58.280 --> 0:32:00.800
<v Speaker 1>funds nowadays? Yeah, it's a great it's a great unit

0:32:00.800 --> 0:32:04.280
<v Speaker 1>of I think it's a useful it's a useful unity.

0:32:04.680 --> 0:32:06.680
<v Speaker 1>It's absolutely great. You want to look at you want

0:32:06.760 --> 0:32:11.280
<v Speaker 1>to scale something ridiculous, And that's so you know, on average,

0:32:12.480 --> 0:32:15.120
<v Speaker 1>there's a vision fund every year, or a vision fund

0:32:15.120 --> 0:32:16.560
<v Speaker 1>every company to any how you look at it. But

0:32:16.640 --> 0:32:23.000
<v Speaker 1>that's basically what we're saying. And you then have to decide, okay,

0:32:23.200 --> 0:32:29.360
<v Speaker 1>unlike perhaps the vision fund, have they made sensible investments

0:32:29.480 --> 0:32:35.640
<v Speaker 1>and that the issue here then becomes, okay, well, what

0:32:35.800 --> 0:32:39.400
<v Speaker 1>is the carrying value that they're that they're showing in

0:32:39.480 --> 0:32:43.360
<v Speaker 1>their in their books for these investments, and to be

0:32:43.480 --> 0:32:47.960
<v Speaker 1>fair to them, they vary. The disclosures do vary from

0:32:48.000 --> 0:32:51.040
<v Speaker 1>company to companies. Some are better, some are worse. But

0:32:51.440 --> 0:32:54.400
<v Speaker 1>you know, there are so there are enough disclosures at

0:32:54.480 --> 0:32:56.600
<v Speaker 1>some of the companies that you can do some quite

0:32:56.680 --> 0:33:00.680
<v Speaker 1>detailed analysis and you can come up within assessments that

0:33:00.760 --> 0:33:04.240
<v Speaker 1>whether you think the numbers are sensible, and that's and

0:33:04.280 --> 0:33:07.400
<v Speaker 1>that's what we've done. A little spoiler for you. They're

0:33:07.400 --> 0:33:10.480
<v Speaker 1>not all sensible. So there are some you know, there's

0:33:10.480 --> 0:33:13.840
<v Speaker 1>some numbers in there that if we were the finance

0:33:14.000 --> 0:33:18.000
<v Speaker 1>director we would be rather uncomfortable about the carrying values

0:33:18.000 --> 0:33:21.760
<v Speaker 1>of those businesses. But the real point here isn't that

0:33:22.320 --> 0:33:26.400
<v Speaker 1>you know, I can sit here in London trying to

0:33:26.520 --> 0:33:32.800
<v Speaker 1>value an investment in an unimportant, unlisted, no public information

0:33:32.960 --> 0:33:38.400
<v Speaker 1>Chinese venture. I mean, obviously that's extremely difficult and would

0:33:38.440 --> 0:33:40.400
<v Speaker 1>be impossible for me to do, to do the whole thing.

0:33:40.920 --> 0:33:44.200
<v Speaker 1>But the question I've got is how can the auditors

0:33:44.280 --> 0:33:51.680
<v Speaker 1>do that? Because it's not easy, right, and I mean

0:33:51.920 --> 0:33:56.800
<v Speaker 1>just the scale of these investments is phenomenal. So what

0:33:56.880 --> 0:33:59.880
<v Speaker 1>you would have to ask yourself is how likely is

0:34:00.040 --> 0:34:05.280
<v Speaker 1>it that the auditors would have found all the right

0:34:05.360 --> 0:34:09.399
<v Speaker 1>bands that were required and made the companies take those

0:34:09.480 --> 0:34:12.080
<v Speaker 1>right nows. And I can tell you that there right

0:34:12.200 --> 0:34:14.040
<v Speaker 1>there are There have been right gunds, not saying that

0:34:14.080 --> 0:34:16.520
<v Speaker 1>haven't there's never been any right downds, but the right

0:34:16.600 --> 0:34:21.000
<v Speaker 1>bunds are on a somewhat lower scale than division funds.

0:34:21.239 --> 0:34:23.560
<v Speaker 1>So what does that tell you, Well, it tells you

0:34:23.719 --> 0:34:30.200
<v Speaker 1>either that they're phenomenally successful at making these investments or

0:34:30.320 --> 0:34:34.920
<v Speaker 1>that they can justify carrying values because they found somebody

0:34:34.920 --> 0:34:37.680
<v Speaker 1>else to come in at a higher price. Which that

0:34:37.719 --> 0:34:41.440
<v Speaker 1>doesn't mean to say that the values are accurately disclosed

0:34:41.440 --> 0:34:43.279
<v Speaker 1>in the balance sheet, but it does mean to say

0:34:43.320 --> 0:34:47.880
<v Speaker 1>that they've conformed with their counting rules right. Or it

0:34:47.920 --> 0:34:51.439
<v Speaker 1>could be that they've invested a lot of money and

0:34:51.480 --> 0:34:55.200
<v Speaker 1>obviously the value valuations of these stocks has gone through

0:34:55.200 --> 0:34:57.920
<v Speaker 1>the roof in the last few years, and they've carried

0:34:57.920 --> 0:35:03.600
<v Speaker 1>on investing throughout. So is it possible that these companies

0:35:03.680 --> 0:35:06.239
<v Speaker 1>will be forced to take some significant right hands in

0:35:06.239 --> 0:35:10.360
<v Speaker 1>the next few years if the valuations don't hold firm

0:35:10.480 --> 0:35:15.239
<v Speaker 1>and they've invested in a range of I mean, you know,

0:35:15.280 --> 0:35:18.160
<v Speaker 1>a very wide range of products. It's not like they're can,

0:35:18.360 --> 0:35:22.480
<v Speaker 1>you know, confined to a single vertical. They're all trying

0:35:22.520 --> 0:35:27.279
<v Speaker 1>to expand across a whole range of different activities, many

0:35:27.320 --> 0:35:31.960
<v Speaker 1>of them completely divorced from their core business. So we

0:35:32.040 --> 0:35:35.560
<v Speaker 1>started this conversation talking a little bit about ant Financial

0:35:35.719 --> 0:35:40.520
<v Speaker 1>and the upcoming I p O valuation target is something

0:35:40.560 --> 0:35:45.760
<v Speaker 1>like two billion dollars. If someone is buying a share

0:35:46.000 --> 0:35:50.360
<v Speaker 1>of ant Financial, what do you think they're buying exactly?

0:35:52.040 --> 0:35:54.040
<v Speaker 1>And Financial wasn't one of the stocks that we were

0:35:54.080 --> 0:35:56.279
<v Speaker 1>asked to look at because when we were asked to

0:35:56.280 --> 0:36:00.160
<v Speaker 1>do this work, the filings weren't available, and you know,

0:36:00.400 --> 0:36:02.839
<v Speaker 1>perhaps the client will ask us to come back and

0:36:02.840 --> 0:36:07.200
<v Speaker 1>and have another look at at that one. The difficulty

0:36:07.320 --> 0:36:12.360
<v Speaker 1>with these sorts of flotations, and you know, it's particularly

0:36:12.360 --> 0:36:14.239
<v Speaker 1>true in emerging markets, and I've seen a number of

0:36:14.239 --> 0:36:17.719
<v Speaker 1>times in Asia, is that when there's a buzz, and

0:36:17.800 --> 0:36:21.919
<v Speaker 1>particularly when there's a large retail component to the deal,

0:36:22.680 --> 0:36:25.239
<v Speaker 1>the institutions will just follow in because it be that

0:36:25.440 --> 0:36:28.919
<v Speaker 1>not too so these things. You can create your own

0:36:28.960 --> 0:36:33.400
<v Speaker 1>success by producing a big enough buzz about the story

0:36:33.560 --> 0:36:35.440
<v Speaker 1>and then as long as the numbers appear to be

0:36:35.440 --> 0:36:39.640
<v Speaker 1>going in the right direction, everything everything is fine. It's

0:36:39.680 --> 0:36:44.440
<v Speaker 1>only if things stop and you find that they've been

0:36:44.480 --> 0:36:47.600
<v Speaker 1>sold for more than their otherwise worth. I always think

0:36:47.640 --> 0:36:51.840
<v Speaker 1>with with I p O s, I used to specialize

0:36:52.360 --> 0:36:54.720
<v Speaker 1>one of my specialties when I was at the hedge funds.

0:36:54.760 --> 0:36:56.080
<v Speaker 1>One of the things that I used to do is

0:36:56.120 --> 0:36:58.480
<v Speaker 1>I used to look for I p o s that

0:36:58.560 --> 0:37:03.080
<v Speaker 1>were either really unpopular. So a company coming to the

0:37:03.120 --> 0:37:07.120
<v Speaker 1>market which was deemed unattractive for whatever reason, needed to

0:37:07.120 --> 0:37:09.560
<v Speaker 1>come to the market, needed to raise the capital, would

0:37:09.600 --> 0:37:13.279
<v Speaker 1>often come at a ridiculously cheap price. And on the

0:37:13.280 --> 0:37:14.920
<v Speaker 1>other side, what we used to do was we used

0:37:14.920 --> 0:37:18.640
<v Speaker 1>to look for these overhyped stocks coming to the market

0:37:19.040 --> 0:37:21.600
<v Speaker 1>and we used to shore them. And it was an

0:37:21.640 --> 0:37:25.520
<v Speaker 1>incredibly profitable strategy because the issue with an I p

0:37:25.680 --> 0:37:29.319
<v Speaker 1>O is that you've got very level playing field. Very

0:37:29.400 --> 0:37:31.720
<v Speaker 1>very few people in the stock market have got history

0:37:31.800 --> 0:37:38.520
<v Speaker 1>with the company, so everybody's equal, and if you spend

0:37:38.560 --> 0:37:42.560
<v Speaker 1>more time than your competitors and understand the company better,

0:37:43.200 --> 0:37:45.680
<v Speaker 1>there's It's one of the few areas in the stock

0:37:45.719 --> 0:37:50.239
<v Speaker 1>market where you can deploy an information advantage legally. You know,

0:37:50.320 --> 0:37:53.680
<v Speaker 1>sometimes there's an information advantage, but you've got inside information.

0:37:53.840 --> 0:37:56.360
<v Speaker 1>Obviously you can't deploy that. But this is one of

0:37:56.400 --> 0:38:00.360
<v Speaker 1>the few areas where a fund with a bigger research

0:38:00.440 --> 0:38:06.120
<v Speaker 1>department with more resources can effectively deploy these resources to

0:38:06.160 --> 0:38:10.360
<v Speaker 1>gain an information advantage. Actually, I have a sort of

0:38:10.400 --> 0:38:14.279
<v Speaker 1>curveball question. Here's something I've wondered about, but you mentioned

0:38:14.880 --> 0:38:17.600
<v Speaker 1>earlier on that. You know, you give advice to people

0:38:17.719 --> 0:38:20.920
<v Speaker 1>that if they see a whole page of related party

0:38:20.960 --> 0:38:24.279
<v Speaker 1>transactions and a filing, that's probably a red flag to

0:38:24.600 --> 0:38:27.600
<v Speaker 1>steer clear. Are there any you know, when you when

0:38:27.600 --> 0:38:32.480
<v Speaker 1>people think about forensic accounting, they think about uncovering a

0:38:32.520 --> 0:38:37.640
<v Speaker 1>good short or maybe sort of justifying long position. Have

0:38:37.800 --> 0:38:41.000
<v Speaker 1>you done or a people doing any work on sort

0:38:41.040 --> 0:38:45.960
<v Speaker 1>of quantitative uses of this stuff? So for example, just

0:38:46.600 --> 0:38:49.800
<v Speaker 1>you know, short all the companies with lots of related

0:38:49.840 --> 0:38:53.120
<v Speaker 1>party transactions go along all of the parties all of

0:38:53.120 --> 0:38:55.359
<v Speaker 1>the companies that don't have them to some sort of

0:38:55.400 --> 0:38:58.640
<v Speaker 1>market neutral strategy. Are there any sort of approaches to

0:38:58.880 --> 0:39:01.759
<v Speaker 1>investing in the work that you do that don't try

0:39:01.800 --> 0:39:04.160
<v Speaker 1>to drill down in one company, but just take a

0:39:04.200 --> 0:39:07.200
<v Speaker 1>few accounting rules and then do a big balance diversified

0:39:07.239 --> 0:39:10.560
<v Speaker 1>portfolio based on these items. Yeah, I mean, I think

0:39:10.560 --> 0:39:13.239
<v Speaker 1>it's a very good question, Joe, and I think that

0:39:13.440 --> 0:39:19.560
<v Speaker 1>actually most of the popular tools have been all gold

0:39:19.640 --> 0:39:22.759
<v Speaker 1>out of existence. So there's a very good paper by

0:39:22.840 --> 0:39:28.880
<v Speaker 1>research affiliates looking at gross profitability, which was a subject

0:39:28.920 --> 0:39:31.880
<v Speaker 1>of an academic paper in came up with some very

0:39:32.000 --> 0:39:35.440
<v Speaker 1>very good results. The fact is that all the algorithms

0:39:35.480 --> 0:39:40.680
<v Speaker 1>have been using the findings of that paper. And what's

0:39:40.719 --> 0:39:44.440
<v Speaker 1>happened is those stocks have been re rated, um, and

0:39:44.480 --> 0:39:47.400
<v Speaker 1>they've done well, but they've done well because they've been rerated.

0:39:47.480 --> 0:39:50.200
<v Speaker 1>And I think most of these most of these issues

0:39:50.360 --> 0:39:55.120
<v Speaker 1>are most of the accounting issues have been arbitraged away.

0:39:55.480 --> 0:40:00.640
<v Speaker 1>And in fact, in my book which comes out next month, UM,

0:40:00.680 --> 0:40:04.640
<v Speaker 1>we talk about the fact that algorithms have been kind

0:40:04.640 --> 0:40:09.480
<v Speaker 1>of the enemy of the the analysts because algorithms can

0:40:09.480 --> 0:40:12.799
<v Speaker 1>do all this stuff much better than the analyst. And

0:40:13.000 --> 0:40:15.880
<v Speaker 1>the one area which I'm I'm quite intrigued about but

0:40:16.080 --> 0:40:21.520
<v Speaker 1>slightly helpless about is is natural language processing. So we've

0:40:21.680 --> 0:40:27.000
<v Speaker 1>on some basic textual analysis in this report, looking at

0:40:27.320 --> 0:40:32.160
<v Speaker 1>the words and trying to interpret whether there has been

0:40:33.520 --> 0:40:37.719
<v Speaker 1>an unusual amount of obfuscation but by these companies relative

0:40:37.840 --> 0:40:43.080
<v Speaker 1>to an Amazon, for example. And you can't do this

0:40:43.160 --> 0:40:46.920
<v Speaker 1>without a computer and there's all sorts of things areas

0:40:47.080 --> 0:40:51.360
<v Speaker 1>in the in the area of understanding text, understanding words

0:40:51.640 --> 0:40:54.439
<v Speaker 1>that computers can do much better. To my knowledge, there

0:40:54.480 --> 0:40:58.600
<v Speaker 1>isn't anybody that can analyze dissect a computer that can

0:40:58.640 --> 0:41:02.120
<v Speaker 1>analyze and dissect the related parties notes, because obviously they're

0:41:02.239 --> 0:41:05.400
<v Speaker 1>very complicated, very specific, and I think that's one of

0:41:05.480 --> 0:41:08.320
<v Speaker 1>the area's what you do need a human being. Fortunately,

0:41:08.360 --> 0:41:11.880
<v Speaker 1>it's still some areas what you do need humans, just

0:41:12.000 --> 0:41:16.920
<v Speaker 1>on the subject of natural language text. Looking at Chinese accounts,

0:41:16.960 --> 0:41:20.640
<v Speaker 1>one of the surprising things, or one of the things

0:41:20.640 --> 0:41:23.719
<v Speaker 1>that I think is surprising to people who aren't familiar

0:41:24.000 --> 0:41:27.440
<v Speaker 1>with this particular market, is sometimes you read the accounts

0:41:27.480 --> 0:41:30.480
<v Speaker 1>and you get a lot of mentions of what the

0:41:30.600 --> 0:41:36.400
<v Speaker 1>company is doing to benefit China or to benefit the

0:41:36.480 --> 0:41:40.120
<v Speaker 1>Communist Party and president she and things like that. I

0:41:40.160 --> 0:41:44.279
<v Speaker 1>remember one of the I guess the most amusing examples

0:41:44.320 --> 0:41:46.920
<v Speaker 1>that I found it that recently was there was I

0:41:46.960 --> 0:41:52.239
<v Speaker 1>think it was a bank and someone, probably an old

0:41:52.280 --> 0:41:56.400
<v Speaker 1>lady in China, had microwaved her bank notes in order

0:41:56.480 --> 0:42:01.160
<v Speaker 1>to get rid of the virus um on them. She

0:42:01.239 --> 0:42:05.560
<v Speaker 1>thought COVID might be transmitted through banknotes, and she brought

0:42:05.600 --> 0:42:09.080
<v Speaker 1>these destroyed banknotes into the bank and they had helped

0:42:09.080 --> 0:42:13.400
<v Speaker 1>her piece them back together or salvage them in some way.

0:42:13.480 --> 0:42:17.400
<v Speaker 1>And the bank had written a footnote in its accounts

0:42:17.440 --> 0:42:20.319
<v Speaker 1>about this particular incident, and it went into a lot

0:42:20.360 --> 0:42:23.719
<v Speaker 1>of detail just to say that it was doing its

0:42:23.880 --> 0:42:29.000
<v Speaker 1>part to help people during the coronavirus outbreak. So that's

0:42:29.040 --> 0:42:31.520
<v Speaker 1>a long winded way of me asking you how much

0:42:31.600 --> 0:42:38.239
<v Speaker 1>does politics enter into Chinese accounting corporate accounting? Well, and

0:42:38.640 --> 0:42:43.280
<v Speaker 1>for these companies, I think their main they're looking westward. Really,

0:42:43.680 --> 0:42:47.319
<v Speaker 1>they're looking at the investors in all right. Maybe it's

0:42:47.320 --> 0:42:51.040
<v Speaker 1>not so true today, but going back a few months,

0:42:51.440 --> 0:42:55.120
<v Speaker 1>they were looking at Western investment. And I think, you know,

0:42:55.200 --> 0:42:59.560
<v Speaker 1>talking too much about how they're engineering themselves to help

0:42:59.560 --> 0:43:04.080
<v Speaker 1>the Chinese government doesn't endear them to the average marginal

0:43:04.120 --> 0:43:06.960
<v Speaker 1>investor in New York. So I don't think there was

0:43:07.000 --> 0:43:10.600
<v Speaker 1>as much of that as you might see in a

0:43:10.680 --> 0:43:16.120
<v Speaker 1>domestic Chinese issuer. But there's some interesting I mean, some

0:43:16.200 --> 0:43:20.520
<v Speaker 1>of them have got some quite interesting observations about what

0:43:20.560 --> 0:43:23.520
<v Speaker 1>they're doing to help the Chinese consumer, what they're doing

0:43:23.520 --> 0:43:27.239
<v Speaker 1>to help their employees, and and and those sorts of

0:43:27.520 --> 0:43:29.879
<v Speaker 1>sorts of things. I don't think we saw too many,

0:43:30.520 --> 0:43:34.800
<v Speaker 1>too much discussion about microwave banknotes or anything along those lines.

0:43:35.000 --> 0:43:39.480
<v Speaker 1>I don't I don't recall recall one of those. One

0:43:39.560 --> 0:43:43.279
<v Speaker 1>last question for you, Stephen, what's your I guess your

0:43:43.400 --> 0:43:49.320
<v Speaker 1>number one tip to any investor who's trying to survey

0:43:49.520 --> 0:43:53.120
<v Speaker 1>the accounts of a company that they're considering putting money in,

0:43:53.560 --> 0:43:57.359
<v Speaker 1>whether it's Chinese or from somewhere else in the world.

0:43:58.120 --> 0:44:00.799
<v Speaker 1>But I'm glad you I'm glad you asked asked me that.

0:44:00.880 --> 0:44:02.600
<v Speaker 1>And if I can just put in a plug for

0:44:02.680 --> 0:44:06.879
<v Speaker 1>my book The Smart Money Method where you got where

0:44:06.880 --> 0:44:09.440
<v Speaker 1>you talking about three pillars. So there's three things you

0:44:09.440 --> 0:44:11.560
<v Speaker 1>should do when you look at a stock to make

0:44:11.600 --> 0:44:14.920
<v Speaker 1>sure you're not buying a fraud. And you might not

0:44:15.000 --> 0:44:17.120
<v Speaker 1>be looking to avoid a fraud. You might just be

0:44:17.120 --> 0:44:19.760
<v Speaker 1>looking to avoid a company that's not going to perform well.

0:44:19.960 --> 0:44:24.359
<v Speaker 1>And you know all the studies tell you that the

0:44:24.400 --> 0:44:28.759
<v Speaker 1>majority of stocks do badly, the majority of stocks underperform.

0:44:29.520 --> 0:44:34.239
<v Speaker 1>So if you do these three simple checks, then you

0:44:34.280 --> 0:44:38.319
<v Speaker 1>will protect yourself and reduce the odds that you're buying

0:44:38.320 --> 0:44:40.920
<v Speaker 1>a loser. The first check is to look at the

0:44:40.920 --> 0:44:46.840
<v Speaker 1>working capital ratios companies that have rising days of receivables

0:44:47.719 --> 0:44:52.359
<v Speaker 1>rising days of inventory tend to be well. They can

0:44:52.400 --> 0:44:54.880
<v Speaker 1>be frauds, but they tend not to be as good investment.

0:44:55.120 --> 0:44:58.240
<v Speaker 1>And the reason is very simple. If your customers aren't

0:44:58.280 --> 0:45:02.120
<v Speaker 1>paying you, that probably isn't a good thing. If your

0:45:02.160 --> 0:45:05.200
<v Speaker 1>stocks are rising, it usually means your customers don't want

0:45:05.239 --> 0:45:09.600
<v Speaker 1>what you're trying to sell. The second tip is always

0:45:09.760 --> 0:45:14.200
<v Speaker 1>do a comparison of the margins today with the past

0:45:14.239 --> 0:45:18.200
<v Speaker 1>and with the peer group. Every single fraud I studied

0:45:18.640 --> 0:45:22.400
<v Speaker 1>for my freensic handing course had margins which were higher

0:45:22.400 --> 0:45:27.440
<v Speaker 1>than peers and usually unexplainable. And the third thing is

0:45:27.840 --> 0:45:30.360
<v Speaker 1>don't just look at the earnings, look at the cash flow.

0:45:30.960 --> 0:45:35.400
<v Speaker 1>Is the company generating as much cash as it's reporting

0:45:35.440 --> 0:45:38.720
<v Speaker 1>in earnings, And if there is a trend in which

0:45:39.200 --> 0:45:42.439
<v Speaker 1>earnings have carried on going up and cash hasn't, that's

0:45:42.480 --> 0:45:45.400
<v Speaker 1>usually assigned to stay away. So those three simple tricks

0:45:45.560 --> 0:45:50.480
<v Speaker 1>working capital, margin comparisons and cash persus earnings will keep

0:45:50.480 --> 0:45:53.600
<v Speaker 1>you out of trouble. That was really great. Thank you

0:45:53.640 --> 0:45:56.920
<v Speaker 1>so much for coming on our boots of great conversation.

0:45:57.320 --> 0:45:59.200
<v Speaker 1>Oh thank you so much for having me. I mean,

0:45:59.360 --> 0:46:02.239
<v Speaker 1>I'm absolutely you want to do. That was fantastic. I'm

0:46:02.239 --> 0:46:04.600
<v Speaker 1>really excited about reading the book now. Thank you so much,

0:46:23.920 --> 0:46:37.880
<v Speaker 1>ye Joe. I really enjoyed that conversation. I think it

0:46:37.920 --> 0:46:41.920
<v Speaker 1>was a useful bit of critical analysis to offset some

0:46:42.080 --> 0:46:45.560
<v Speaker 1>of the optimism and excitement that we've seen lately, not

0:46:45.640 --> 0:46:48.680
<v Speaker 1>just around the AT I p O, but around tech

0:46:48.719 --> 0:46:52.120
<v Speaker 1>stocks really all over the world. I feel like we

0:46:52.160 --> 0:46:56.600
<v Speaker 1>could just do episode after episode with UM with accountants

0:46:56.640 --> 0:46:59.759
<v Speaker 1>and particularly forensic accounts. It's just like it's always so

0:47:00.000 --> 0:47:01.680
<v Speaker 1>interesting and every time we do or like we got

0:47:01.680 --> 0:47:04.520
<v Speaker 1>to do more accounting episodes and then we forget. But

0:47:04.600 --> 0:47:07.319
<v Speaker 1>I always remember after these conversations, like why they're like

0:47:07.520 --> 0:47:11.279
<v Speaker 1>so interesting and uh, he was like a great sort

0:47:11.320 --> 0:47:15.600
<v Speaker 1>of articulator of some of the issues that make corporate

0:47:15.640 --> 0:47:20.000
<v Speaker 1>analysis so difficult and interesting. Yeah, I can't even imagine

0:47:20.040 --> 0:47:23.080
<v Speaker 1>going through a thousand pages of accounts, but I thought

0:47:23.080 --> 0:47:26.239
<v Speaker 1>the point about, for instance, related party transactions was a

0:47:26.280 --> 0:47:29.719
<v Speaker 1>really good one. If there are pages and pages of

0:47:30.040 --> 0:47:34.400
<v Speaker 1>complex footnotes and related party transactions, then that's probably a

0:47:34.480 --> 0:47:37.560
<v Speaker 1>red flag right there, or at least I don't know.

0:47:37.600 --> 0:47:39.760
<v Speaker 1>I kind of I wonder how many investors are actually

0:47:39.800 --> 0:47:43.880
<v Speaker 1>going through all of those I can't imagine it's many.

0:47:44.560 --> 0:47:48.359
<v Speaker 1>You know, it's interesting. I thought your question was really

0:47:48.360 --> 0:47:51.360
<v Speaker 1>great at the end about politics and the connection between

0:47:51.440 --> 0:47:54.880
<v Speaker 1>the corporate leadership, particularly these big Chinese companies, and the

0:47:55.000 --> 0:47:59.040
<v Speaker 1>government in China. Just in general, it feels like that

0:47:59.239 --> 0:48:02.440
<v Speaker 1>is such a sort of factor in understanding both like

0:48:02.520 --> 0:48:06.319
<v Speaker 1>how the economy works and how specific businesses work. I

0:48:06.360 --> 0:48:09.920
<v Speaker 1>was thinking back to our our conversation with Tom Rlick,

0:48:10.400 --> 0:48:13.120
<v Speaker 1>the Bloomberg economist who has the book about the China

0:48:13.200 --> 0:48:18.800
<v Speaker 1>bubble and so much so many misconceptions of analyzing China,

0:48:19.040 --> 0:48:22.200
<v Speaker 1>at least in or leaks view, sort of stemmed from

0:48:22.239 --> 0:48:25.719
<v Speaker 1>the idea that Chinese, the Chinese government by control of

0:48:25.760 --> 0:48:28.040
<v Speaker 1>the banks, can sort of get any outcome at wants,

0:48:28.080 --> 0:48:30.960
<v Speaker 1>and it can forestall a bubble or constall bubbles from

0:48:31.000 --> 0:48:33.720
<v Speaker 1>crashing as long as it wants, And so thinking about

0:48:33.760 --> 0:48:37.919
<v Speaker 1>like some of these sort of the non financial companies

0:48:38.320 --> 0:48:40.480
<v Speaker 1>and the investments they make, and how they mark their

0:48:40.520 --> 0:48:43.680
<v Speaker 1>investments and whether they get whether they have a um,

0:48:43.960 --> 0:48:46.319
<v Speaker 1>whether they can find an entity to invest in an

0:48:46.400 --> 0:48:49.759
<v Speaker 1>investment that will continue to increase the value, it just

0:48:49.800 --> 0:48:53.799
<v Speaker 1>seems like it's got to be pretty tough to analyze

0:48:53.840 --> 0:48:56.920
<v Speaker 1>that from any sort of like outside sort of like

0:48:56.960 --> 0:49:00.239
<v Speaker 1>typical Western standards, when you have so much of the

0:49:00.440 --> 0:49:05.239
<v Speaker 1>large industrial leadership of a country so tightened with the government. Yeah,

0:49:05.320 --> 0:49:07.800
<v Speaker 1>I think that's absolutely right, and that's probably why Chinese

0:49:07.840 --> 0:49:13.920
<v Speaker 1>political analysis is probably a growing area of opportunity in finance.

0:49:14.480 --> 0:49:16.279
<v Speaker 1>I mean it is one of the benefits of a

0:49:16.320 --> 0:49:21.720
<v Speaker 1>command economy, right, you can direct capital and control industries

0:49:22.560 --> 0:49:25.880
<v Speaker 1>to some degree. And there are examples in China of

0:49:26.000 --> 0:49:30.080
<v Speaker 1>companies that have basically based their entire business model on

0:49:30.280 --> 0:49:33.600
<v Speaker 1>figuring out what it is the Chinese leadership wants. So

0:49:33.719 --> 0:49:37.960
<v Speaker 1>the best example of that is China Evergrand, which I

0:49:38.000 --> 0:49:40.240
<v Speaker 1>don't even know how to describe it. It's a Chinese

0:49:40.239 --> 0:49:43.960
<v Speaker 1>property company, but it also makes electric cars because the

0:49:44.040 --> 0:49:47.680
<v Speaker 1>Chinese government was really into that, and it also runs

0:49:47.719 --> 0:49:51.520
<v Speaker 1>some hospitals because healthcare is important. At one point, it

0:49:51.600 --> 0:49:55.600
<v Speaker 1>got into soccer teams or football because she was really

0:49:55.640 --> 0:49:59.399
<v Speaker 1>into sports. It's a it's a that's probably the most

0:49:59.400 --> 0:50:03.920
<v Speaker 1>extreme example of companies trying to tow the party line,

0:50:03.960 --> 0:50:07.080
<v Speaker 1>but it's one of the most interesting. Let's do a

0:50:07.520 --> 0:50:10.879
<v Speaker 1>ever Grand episode. Yeah, you know what I love, like, Hey,

0:50:10.960 --> 0:50:13.279
<v Speaker 1>we should do an ever Grand episode. But also I

0:50:13.320 --> 0:50:16.200
<v Speaker 1>love how many times I feel like when it comes

0:50:16.239 --> 0:50:20.600
<v Speaker 1>to a Chinese, big Chinese company, like there's a really

0:50:20.640 --> 0:50:25.080
<v Speaker 1>big challenge with how to describe it, right, It's always like, Okay,

0:50:25.120 --> 0:50:27.840
<v Speaker 1>it's good. There's it's almost like there's no analog that

0:50:27.880 --> 0:50:30.360
<v Speaker 1>we can think of, at least among Western companies, for

0:50:30.400 --> 0:50:33.520
<v Speaker 1>the sort of the range of business lines that some

0:50:33.600 --> 0:50:37.120
<v Speaker 1>of these you know, Chinese giants are in. Yeah. I

0:50:37.120 --> 0:50:40.920
<v Speaker 1>always find myself reaching for American parallels and then saying

0:50:41.440 --> 0:50:45.320
<v Speaker 1>like Amazon but much bigger, or like Apple but much bigger,

0:50:45.440 --> 0:50:48.880
<v Speaker 1>or like Google but also with a random money market

0:50:48.920 --> 0:50:52.680
<v Speaker 1>fund and things like that. I love it. Well. One

0:50:52.680 --> 0:50:56.799
<v Speaker 1>other things, Um, we gotta start using vision fund as

0:50:56.840 --> 0:51:00.799
<v Speaker 1>a unit of Yeah, the U s economy by too

0:51:01.280 --> 0:51:06.080
<v Speaker 1>soft bank vision funds this year. Yeah? Perfect, All right,

0:51:06.520 --> 0:51:09.400
<v Speaker 1>should we leave it there? Let's leave it there. Okay.

0:51:09.480 --> 0:51:12.480
<v Speaker 1>This has been another episode of the All Thoughts podcast.

0:51:12.520 --> 0:51:15.200
<v Speaker 1>I'm Tracy Alloway. You can follow me on Twitter at

0:51:15.239 --> 0:51:18.160
<v Speaker 1>Tracy Alloway and I'm Joe Why Isn't All? You could

0:51:18.200 --> 0:51:21.560
<v Speaker 1>follow me on Twitter at the Stalwart. Follow our guest

0:51:21.680 --> 0:51:25.520
<v Speaker 1>on Twitter. He's Steve Clapham and his handle is at

0:51:25.560 --> 0:51:30.000
<v Speaker 1>Steve Clapham and follow our producer, Laura Carlson at Laura M. Carlson,

0:51:30.320 --> 0:51:33.880
<v Speaker 1>followed the Bloomberg head of podcast, Francesco Levie at Francesca

0:51:33.960 --> 0:51:36.840
<v Speaker 1>Today and check out all of our podcasts under the

0:51:36.880 --> 0:51:40.799
<v Speaker 1>handle add podcast and check out Steven's new book, The

0:51:40.880 --> 0:52:01.400
<v Speaker 1>Smart Money Method. Thanks for listening to to