Pod Insights How I Invest with David Weisburd E308: The Future of LP Liquidity About this episode What happens when capital markets move from batch processing to real time?
David Weisburd sits down with Yuval Rooz to discuss his path from Citadel and DRW to founding Digital Asset and building the Canton Network. Yuval explains why blockchain is less about crypto speculation and more about upgrading the infrastructure of global capital markets—unlocking 24/7 settlement, asset utility, and new forms of liquidity across public and private markets.
Transcript Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.
0:00 David Weisburd? When a lot of people hear leveraging your stocks, they inherently think that it's highly risky. Why is that a good idea for everyday investors?
0:08 Speaker 01 Well, I mean, leverage, generally speaking, is associated with bad or potentially risky. Again, I go back to the example. If you take a mortgage against your house, you are leveraging the place that you live in. You could lose that if you don't pay back the loan. And it's really a question of what kind of leverage you take, for what reason do you take it, right? If you're just, if you're just taking crazy leverage to get even more exposure to the market, well, just be aware, back to our points about how to think about risk. Well, if that thing goes against you, you could lose all of your wealth very quickly. And as long as you understand the outcomes and you're a professional about it, then, you know, hedge funds do go to higher leverage
0:52 Speaker 01 and, you know, face outcomes. The question is, if you wanted to use 50% of your portfolio against a house and you could meet those payments, that could just be another asset class where you might get a better lending rate, right? Because a house is not as efficient or not as liquid as equity market that might, someone that actually might lend you for buying a house at a much better rate than what a bank would give you, for example, against the deed of your house, which might not be very easy to liquidate. So to me, leverage is just driving utility out of your assets. There could be bad leverage and there's good leverage. I mean, if, if, if you can borrow cheaper than what a bank would, would lend you,
1:36 Speaker 01 I would say, depending, depending again, for what you're using that loan for, that actually is a good outcome for the consumer. Because we're not, we're not getting away.
1:44 David Weisburd? How does Canton enable that? And what markets are you plugging into? And, and going in between?
1:52 Speaker 01 At the end of the day, what financial services are, are a bunch of ledgers that just agree on book entries, or who owes who what money, or if I took a loan against something, that the asset that I loaned against is encumbered or cannot be used for something else. So that coordination of all of these ledgers is really where the inefficiency today exists. That's where all the operational costs, legal costs, all those legal documents that we sign. So really, what blockchain technology in general, and Canton inherently does the same, is really how do we streamline the management of these books and records across all these different financial players?
2:33 Speaker 01 So what we're doing is we're focusing on capital markets to begin with. So we just announced with DTCC, the first US Treasury that would be able to be available on Canton. So you'll be able to move US Treasuries in real time, 24/7. We work on private markets, so private equity, private credit. But we do stuff in insurance, commodities, mortgages, and pretty much every financial instrument that you can imagine.
3:05 David Weisburd? One of the biggest headwinds in LP world is DPI right now. It's the hottest topic. Every endowment, pension fund, foundation, family office is saying, "I need to get capital return from private equity." Does Canton solve this problem over the long term? And if so, in what way? One of the hardest things of investing is seeing what's shifting before everyone else does. For decades, only the largest hedge funds could afford extensive channel research programs to spot inflection points before earnings and to stay ahead of consensus. Meanwhile, smaller funds have been forced to cobble together ad hoc channel intelligence or rely on stale reports from sell-side shops. But channel checks are no longer a luxury. They're becoming table stakes for the industry. The challenge has always been scale, speed, and consistency.
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4:47 Speaker 01 Yes and no, right? So, and I'm not going to be the person who says that everything with tokenization gets solved just because you tokenize something or you put it on a blockchain. One of the challenges in doing, for example, like you mentioned DPIs, is what does it mean to administrate during that, right? So, one element of that is when I think about these greenfield funds, is can I actually manage my, right, my distributions, my cash withdrawals versus deposits? And I would say that that has nothing to do with blockchain, right? That's just, do I have a strategy where the manner in which I deploy capital to which I can project cash withdrawals, right?
5:30 Speaker 01 So, I can actually, on a quarterly basis, feed these withdrawals. Do I have a business model that actually supports it? Assuming that I had zero friction in the underlying infrastructure. And that is unrelated to blockchain. I think that there's a very big component of the infrastructure not being as efficient as possible to actually help administrate these things very efficiently, because if it takes me a very long time to onboard new customers and do capital calls, well, then my capital distributions also will have this inherent latency in it. So, I think that when it comes to the efficiency of these funds, there's, there's a lot, and we're doing quite a lot of work there.
6:14 Speaker 01 I think the other thing, and we talk about this utility, is today, the only way for LPs, for the most part, to get money out is by selling their holding. And that's just one way of doing it. I think that again, if we increase the utility of these assets and you gave LPs tools to borrow more efficiently against some of their holdings, that's also can alleviate alleviate some of the, you know, requirements of I have to get the money out, I have to sell my position versus I can just borrow against my position. And again, this, this idea of creating more utility and leverage of these assets is definitely something that we can be helpful with.
6:54 David Weisburd? And on a basic level, you invested in, let's say Citadel as an LP. You have a $10 million position. The blockchain ascertains the value of that position, the custody of that position, that you actually own that position. And because of that, you could buy, sell or borrow against it.
7:10 Speaker 01 There is a lot of people that would be willing to lend you against your $10 million position. So if you have a $10 million position and for whatever reason, you just needed $5 million right now, you would rather, given like you said, it's very hard to get into Citadel. Can you actually borrow against that $10 million? And can you do that in a way that is so cheap and effective? Cause a lot of times, a lot of people will say, yes, you've all, but you could, you could do those things. So today, people put these positions into SPVs and then they do all of these things. When you actually end up looking at the cost, the operational cost that it takes to set these things up and to actually administer them, these loans or these things become so expensive that when you compare them to anything else that is available to you to borrow against, it becomes very unattractive.
7:54 Speaker 01 And that's why I'm saying like, what we're trying to do is we're trying to reduce the OpEx and the friction associated with these products to be just as efficient as, you know, buying and trading equities. And it doesn't necessarily mean that you'll just be able to buy and trade it 24/7. But if you were to do that, it would be just as efficient as taking a loan against any other asset class.
8:14 David Weisburd? How do you standardize everything, anything from Citadel to private equity fund to helicopter leasing fund? How do you standardize all of finance into one blockchain?
8:23 Speaker 01 The question actually implies, in my opinion, the hardest challenge in this industry. But I will, I will put a small correction. The blockchain itself is just a very. Advanced database technology. So it is just a technology. I think, I think your question, though, does point out to a bigger challenge that the industry have with or without blockchain, which is in order to have these efficiencies and kind of stream, stream through processing, alignment around data models and how do you process these things is a big component of it. Right? The reason why equities or treasuries are the biggest markets and are as efficient is because they are standardized products. Right? There is no special treasuries, right?
9:08 Speaker 01 It's just one type of treasury. You have different durations. You have different coupons, but those are just plugins, right? The treasury is a treasury is a treasury. And I think that that's a very good point. And one of the challenges of private markets, very specifically, is, is there a non-standardized kind of model? So what, one of the things that we're doing there is we're trying to come up with as many templates as possible, where you could have the uniqueness, whether you want of a fund or a helicopter, but at their core, they, they do kind of distill down to kind of similar templates at the bottom layer. But again, that's easier said than done. I think it's the biggest challenge of the industry is not necessarily because it's on blockchain,
9:52 Speaker 01 but how do you standardize these contractual agreements in order to have this kind of scaling?
9:59 David Weisburd? And how much progress have you made onboarding assets? And how, how do you quantify that?
10:05 Speaker 01 We rely on some of the clients starting to publish their activity numbers. So for example, Broadridge built an application on Canton, which is to more efficiently manage the US treasury repo market. So they do bilateral repo, intra dealer repo, intra day repo. And today they're getting close to 10% of the daily volume of that market. So I don't get to see which client of theirs have been on boarded, who trades what, but they do publish daily volumes of what they are doing on the, on the platform. So we have a company called Zinnia. They're in the life insurance and annuity. We know that they're issuing life insurance.
10:48 Speaker 01 Products, I don't know what is the quantum, but I, you know, we are hopefully soon going to start being able to see how many policies have been issued over time. And that just goes, so what we are doing is we are working with all of our clients to try to have more real time reporting of the activity that they're doing on the network. But again, it's their, it's their proprietary information and that's the best that we can do. Our belief is that to date, we have seen the digitization or tokenization of a few trillion dollars of US treasuries. And activity on a daily basis is in the hundreds of billions of dollars across the network. But we're trying to bring more transparency into kind of like the, the, the daily numbers from those players.
11:35 David Weisburd? What's one key thing that you've changed your opinion on in the last 12 months?
11:39 Speaker 01 It's not in the last 12 months, but it's something that I've learned is, you know, as, as an engineer, you always assume that things will just steer towards the right solution from a capital cost, capital structure, efficiency, that is just not the case. I'll give you an example. Syndicated loans take over three weeks to settle on average. I don't think that that's the case. I don't think that it needs to take this long. And the question is, well, why, why hasn't it improved over time? And when you end up looking at kind of like who wins from the float, sitting over a settlement time that is over three weeks, you kind of understand, okay, well, there's reasons why things aren't becoming efficient. So a lot of times, you know, people, when they
12:24 Speaker 01 use technology, and this was maybe my biggest lesson learned as a CEO of a tech company, you really need to understand who are the winners of the current system. What, what are the reasons for not innovating? What is the reason for not bringing the efficiency to date? Cause a lot of times people will think, oh, it's because the technology didn't exist. That's why the efficiency haven't come to place. And I would say that probably more than 80% of the time is because there are certain key players in the value chain that have no interest in efficiency being introduced. Efficiency is, you know, I always say friction, you could think of friction as cost and, and cost means revenue to someone, right? And sometimes that revenue is even with a nice margin.
13:09 Speaker 01 It's not just like, it's not just people costs.
13:13 David Weisburd? If someone's inefficient, yeah, somebody else has Profit Center.
13:16 Speaker 01 I think that's the biggest lesson learned for me is a lot of times you're seeing an inefficiency and you're seeing dollar signs, oh my God, if I can just solve this inefficiency with my technology, life would be better. And you're like, because the inefficiency is so blatant and so big, you're like, okay, there's so much money can be done. And then you chase something like that for years and you just realize the players that are going to be disrupted from said inefficiency are just too in control over that market that it's not necessarily the best place to spend your resources or goodwill.
13:49 David Weisburd? Over the last 18 years, if you could go back when you first started at Citadel, what is one piece of timeless advice that you'd give a younger Yuval that would have either accelerated your career or helped you avoid cost of mistakes?
14:02 Speaker 01 It's a very simple idea. You know, you look at these
14:06 Speaker 01 portfolio kind of allocation, how, you know, if you're younger, more equities, less fixed income. As you get older, more fixed income. I actually think that that's a very good advice, also from a career perspective. I wish I took more risk early in my career. And this is the advice I give for people that are fresh out of college is they keep on worrying about, you know, how their career will look like in 20 years. And I keep on saying, you don't need to worry about that. You need to worry about.
14:31 David Weisburd? Don't you think there's a survivorship bias there? You obviously ended up being extremely successful, but not all simulations would have led to that outcome?
14:39 Speaker 01 A hundred percent. But I still look back at some opportunities that I had that I did take a conservative, a conservative approach. You could look at a lot of people in crypto. I have a funny, a funny story of someone who told me, I won't say the names because, but told me that the SEC were going after them in the previous administration. And the CEO said, yeah, we're just not gonna, we're just not gonna respond to this. We're just gonna be stay away from the US. And when the new administration came in. Said former boss sent the person I know an email say, I told you, you know, it's like, and I'm not saying that that's necessarily the right thing to do, but my point is even through
15:22 Speaker 01 digital asset, I think that there were better, more opportunities where I should have taken more risk in the early days of the company that set the trajectory better long term. I think that a lot of people are very focused of how their boss would view them in the early days of their career. And I just think that the trajectory of mistakes you do early on have, you know, I'm not saying, again, I'm not saying that I, you know, you know perfectly what will happen, but I think that creating the right starting point requires taking risk where if you play very conservative, it's not saying that you can't be successful, but I do think that you really cap your upside early on. And again, I think that the downside is very limited early in your career.
16:07 David Weisburd? Most people are too conservative. So telling people to take risks brings them back closer to the efficient frontier than if they were super risk taking, then you would actually probably get the opposite.
16:15 Speaker 01 Correct. But I do see a lot of young students today being extremely concerned about how their career would look like 20 years from now. And I'm saying like, you really have not that much control of what will happen in 20 years. Make sure that you are doing things that you think could make a difference. And I think that that means taking risk.
16:38 David Weisburd? What did they say? A students work for B students by companies founded by C students?
16:43 Speaker 01 Exactly, exactly.
16:44 David Weisburd? Well, Evol, thanks so much for jumping on the podcast. Looking forward to continuing this live.
16:48 Speaker 01 Thank you, David. I appreciate it.
16:50 David Weisburd? That's it for today's episode of How Invest. If this conversation gave you new insights or ideas, do me a quick favor. Share with one person in your network who'd find it valuable or leave a short review wherever you listen. This helps more investors discover the show and keeps us bringing you these conversations week after week. Thank you for your continued
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