1 00:00:18,040 --> 00:00:20,720 Speaker 1: Hello, Welcome to the Credit at WEEKI Monkets Pubcasts. My 2 00:00:20,800 --> 00:00:23,840 Speaker 1: name is James Crumby. I'm a senior at AS at Bloomberg. 3 00:00:23,920 --> 00:00:27,560 Speaker 2: And I'm David Haven's, a senior credit analyst of Bloomberg Intelligence. 4 00:00:27,600 --> 00:00:30,640 Speaker 2: This week, we're very pleased to welcome Angela Rafino, head 5 00:00:30,680 --> 00:00:34,159 Speaker 2: of Special Situations in North America as well as corporate 6 00:00:34,159 --> 00:00:37,159 Speaker 2: special Situations in Europe at Bane Capital. 7 00:00:37,280 --> 00:00:41,120 Speaker 3: Angelo, how are you. I'm great, good see you guys. Excellent. 8 00:00:41,159 --> 00:00:43,159 Speaker 2: It's great to be with you and and all of 9 00:00:43,159 --> 00:00:46,239 Speaker 2: you out there. And these are interesting times. Indeed, Angelo, 10 00:00:47,320 --> 00:00:50,240 Speaker 2: you've been around the block a few times. You're a Bane, 11 00:00:50,240 --> 00:00:53,680 Speaker 2: You've been at Brookfield engaged in music royalties, which is 12 00:00:54,000 --> 00:00:59,440 Speaker 2: obviously interesting to a lot of different people. Brigade JP Morgan, So, 13 00:01:00,040 --> 00:01:02,280 Speaker 2: I'm sure that you've got a lot of thoughts about 14 00:01:02,280 --> 00:01:04,560 Speaker 2: what's going on in the marketplace today and what is 15 00:01:05,480 --> 00:01:07,320 Speaker 2: accurate what's inaccurate. 16 00:01:06,840 --> 00:01:10,360 Speaker 3: About private credit. Well, there's certainly a lot to talk about. 17 00:01:10,600 --> 00:01:13,039 Speaker 3: I'll venture my best to give you a view and 18 00:01:13,360 --> 00:01:14,119 Speaker 3: we'll chat it out. 19 00:01:14,480 --> 00:01:16,320 Speaker 1: As you say, David, we are going through a bit 20 00:01:16,319 --> 00:01:18,319 Speaker 1: of a storm at the moment with blue oil in 21 00:01:18,360 --> 00:01:21,160 Speaker 1: the spotlight and growing concern about private markets, particularly their 22 00:01:21,160 --> 00:01:24,959 Speaker 1: exposure to software loans. Jamie Diamond got everyone on edge 23 00:01:25,040 --> 00:01:27,679 Speaker 1: last year with comments about cockroaches and has weighed in 24 00:01:27,720 --> 00:01:29,880 Speaker 1: again this week saying lenders are doing dumb things to 25 00:01:29,920 --> 00:01:32,920 Speaker 1: try and induce returns. He's also making comparisons to pre 26 00:01:33,000 --> 00:01:36,760 Speaker 1: crisis credit excesses. So let's start there, Angelou. How worried 27 00:01:36,800 --> 00:01:39,399 Speaker 1: should we really be about credit markets right now? And 28 00:01:39,840 --> 00:01:43,640 Speaker 1: how serious is the software problem? Well, let's break it 29 00:01:43,680 --> 00:01:46,959 Speaker 1: down into a few pieces. So credit markets at large, 30 00:01:47,120 --> 00:01:50,040 Speaker 1: I think are reasonably healthy. That's not to say they're 31 00:01:50,120 --> 00:01:53,560 Speaker 1: priced correctly, but they're reasonably healthy. We've gone through a 32 00:01:53,600 --> 00:01:56,360 Speaker 1: long period of deleveraging of corporate balance sheets, a lot 33 00:01:56,360 --> 00:01:58,920 Speaker 1: of cash on balance sheets. Leverage levels, as I noted, 34 00:01:59,120 --> 00:02:01,200 Speaker 1: have come down some stamps over the past few years. 35 00:02:01,280 --> 00:02:04,720 Speaker 3: So by and large, a pretty good economy. Real GDP 36 00:02:04,840 --> 00:02:07,000 Speaker 3: growth north to two percent, probably north of two and 37 00:02:07,040 --> 00:02:10,640 Speaker 3: a half percent this year by some forecasts. Things things 38 00:02:10,639 --> 00:02:15,280 Speaker 3: seem reasonable. The issue lies, I think, within some specific subsectors. 39 00:02:15,680 --> 00:02:19,000 Speaker 3: The overlay of what AI can be doing to business 40 00:02:19,040 --> 00:02:20,720 Speaker 3: models that are were tried and true in the past 41 00:02:20,720 --> 00:02:23,560 Speaker 3: and make change in the future. And certainly then the 42 00:02:23,600 --> 00:02:27,040 Speaker 3: context of pricing, right, where does value actually lie within 43 00:02:27,080 --> 00:02:30,720 Speaker 3: the credit markets today? Last I checked, we're sitting, you know, 44 00:02:30,840 --> 00:02:33,040 Speaker 3: roughly a little over three hundred on a spread to 45 00:02:33,080 --> 00:02:36,200 Speaker 3: worse basis, so certainly near the tights, not at the tights, 46 00:02:36,240 --> 00:02:39,040 Speaker 3: but but tight. And I don't think that that reflects 47 00:02:39,080 --> 00:02:41,720 Speaker 3: the tails where we're seeing in the market today, certainly 48 00:02:41,720 --> 00:02:43,520 Speaker 3: as a function of just what is going on in 49 00:02:43,520 --> 00:02:45,920 Speaker 3: the AI ecosystem. You brought up software, we can we 50 00:02:45,919 --> 00:02:48,799 Speaker 3: can get into that and debate that out. But price 51 00:02:48,919 --> 00:02:52,880 Speaker 3: credit does feel priced for perfection, and it also has 52 00:02:52,880 --> 00:02:54,720 Speaker 3: had a long tail of money come into it over 53 00:02:54,760 --> 00:02:58,440 Speaker 3: the last five years, really on the back of insurance 54 00:02:58,440 --> 00:03:01,640 Speaker 3: related investment. And anytime we get into a world of 55 00:03:02,000 --> 00:03:06,000 Speaker 3: structured credit, you start to see behaviors that that price 56 00:03:06,040 --> 00:03:08,240 Speaker 3: credit at different levels than it may have been in 57 00:03:08,280 --> 00:03:11,680 Speaker 3: the past, which can which can lead to disruptions. So 58 00:03:11,840 --> 00:03:14,600 Speaker 3: I do think we're at a period where the economy overall, 59 00:03:14,639 --> 00:03:18,239 Speaker 3: as I noted, is feeling fine. We will go through 60 00:03:18,280 --> 00:03:21,840 Speaker 3: cycles credit price for perfection, and then let's let's talk 61 00:03:21,880 --> 00:03:24,839 Speaker 3: a bit about some of the sector specific risks we're seeing. Yeah, 62 00:03:24,840 --> 00:03:25,600 Speaker 3: that that sounds good. 63 00:03:25,680 --> 00:03:28,959 Speaker 2: Let's let's uh, well, we definitely want to get into software, 64 00:03:29,000 --> 00:03:31,840 Speaker 2: I mean, and the implications that AI may or may 65 00:03:31,880 --> 00:03:35,360 Speaker 2: not have on software and tech. But uh, before we 66 00:03:35,440 --> 00:03:38,120 Speaker 2: get into that, just given what's sort of come up 67 00:03:38,160 --> 00:03:40,200 Speaker 2: over the past week or so, you know, with with 68 00:03:40,400 --> 00:03:42,920 Speaker 2: gates going up and an awful lot of adverse press 69 00:03:42,960 --> 00:03:48,480 Speaker 2: about restrictions of of you know, withdrawals from from funds, which, 70 00:03:48,480 --> 00:03:50,560 Speaker 2: by the way, to me is a credit analyst, I 71 00:03:50,600 --> 00:03:53,840 Speaker 2: look at the ability to withdraw funds and have restrictions 72 00:03:53,880 --> 00:03:56,040 Speaker 2: on the on the withdrawal of funds is actually a 73 00:03:57,360 --> 00:04:00,840 Speaker 2: positive thing from a credit perspective because it does reduce 74 00:04:01,520 --> 00:04:03,840 Speaker 2: the risk of a run on the bank at some 75 00:04:03,880 --> 00:04:06,120 Speaker 2: of the some of these private BDC funds. 76 00:04:06,160 --> 00:04:07,480 Speaker 3: But what I want. 77 00:04:07,280 --> 00:04:09,520 Speaker 2: To sort of suss out from you is is there 78 00:04:09,560 --> 00:04:12,600 Speaker 2: seems to be maybe a bit of dissonance between the 79 00:04:12,640 --> 00:04:15,720 Speaker 2: way that maybe some parts of the retail market are 80 00:04:15,760 --> 00:04:19,960 Speaker 2: viewing private credit and the way that the institutional. 81 00:04:19,200 --> 00:04:24,520 Speaker 3: Side is viewing things. So what's your perspective on that. Well, 82 00:04:24,560 --> 00:04:26,880 Speaker 3: you're bringing up the right dynamic, and we haven't had 83 00:04:26,960 --> 00:04:30,200 Speaker 3: this amount of retail money in a private asset class, 84 00:04:30,240 --> 00:04:34,560 Speaker 3: and really I don't think in history typically retail invested 85 00:04:34,600 --> 00:04:36,760 Speaker 3: in credit through liquid products, so when they wanted their money, 86 00:04:36,760 --> 00:04:39,080 Speaker 3: they got it out, whether it was overnight through a 87 00:04:39,160 --> 00:04:43,280 Speaker 3: mutual fund or an ETF. You know instantaneously. The dynamic 88 00:04:43,360 --> 00:04:46,080 Speaker 3: of being gated, as you noted, is going to be 89 00:04:46,120 --> 00:04:49,040 Speaker 3: new to people. There's a couple of things to push 90 00:04:49,040 --> 00:04:52,040 Speaker 3: and pull out there. I think on the perspective of 91 00:04:52,080 --> 00:04:55,159 Speaker 3: a retail investor, they tend to move where money goes, 92 00:04:55,200 --> 00:04:57,280 Speaker 3: whether it's going into an asset class or going out 93 00:04:57,320 --> 00:04:58,800 Speaker 3: in the asset class. It is a bit of a 94 00:04:58,839 --> 00:05:02,440 Speaker 3: herd mentality. You brought up the positive nature of gates. 95 00:05:02,440 --> 00:05:04,279 Speaker 3: I kind of laughed at that because I think it 96 00:05:04,320 --> 00:05:06,200 Speaker 3: really depends on which side of the coin you're on. 97 00:05:06,279 --> 00:05:09,279 Speaker 3: It's certainly in some ways healthy for how it can 98 00:05:09,320 --> 00:05:12,640 Speaker 3: manage liquidity and risk coming in and out of an 99 00:05:12,680 --> 00:05:15,360 Speaker 3: asset class, But if you're that investor who wants their 100 00:05:15,400 --> 00:05:17,919 Speaker 3: money back, it's going to be pretty uncomfortable. And I 101 00:05:17,920 --> 00:05:20,839 Speaker 3: think we'll ultimately test what it means to be a 102 00:05:20,880 --> 00:05:23,960 Speaker 3: retail investor at scale in a private asset class, right 103 00:05:24,000 --> 00:05:29,159 Speaker 3: we just again haven't haven't seen that, so it is 104 00:05:29,200 --> 00:05:31,600 Speaker 3: a bit uncertain. The way people think about it from 105 00:05:31,680 --> 00:05:38,120 Speaker 3: a private perspective is that they believe substantial locked up 106 00:05:38,160 --> 00:05:41,000 Speaker 3: money is underlying the system to date, and then that 107 00:05:41,040 --> 00:05:44,360 Speaker 3: should keep it its sound. I think that is bid 108 00:05:44,400 --> 00:05:47,279 Speaker 3: and true and really going to encompass the largest part 109 00:05:47,279 --> 00:05:49,440 Speaker 3: of the credit markets. But as we see the retail 110 00:05:49,480 --> 00:05:52,000 Speaker 3: money keep piling up, which has been the three year trend, 111 00:05:52,440 --> 00:05:54,360 Speaker 3: you're going to start to test the limits of what 112 00:05:54,400 --> 00:05:57,680 Speaker 3: that really means and how that ultimately bleeds into sales 113 00:05:57,680 --> 00:05:59,840 Speaker 3: of portfolios, what that means to marks and an as 114 00:06:00,040 --> 00:06:01,920 Speaker 3: a class that it has been insulated by the fact 115 00:06:01,960 --> 00:06:04,920 Speaker 3: that the marks are private. So a lot to unpack there. 116 00:06:05,000 --> 00:06:08,159 Speaker 3: Let's let's see and pull out a few of those strings. 117 00:06:08,560 --> 00:06:10,680 Speaker 3: But that's high level how I think about it. 118 00:06:10,960 --> 00:06:12,480 Speaker 1: I mean, just also just sort of taking a bit 119 00:06:12,480 --> 00:06:14,920 Speaker 1: deferent to the software point because you know, Beaninge, along 120 00:06:14,920 --> 00:06:17,760 Speaker 1: with a lot of other alternative syphilons, have been very 121 00:06:17,800 --> 00:06:20,800 Speaker 1: active lending to software over the last i'd say five years, 122 00:06:21,200 --> 00:06:24,520 Speaker 1: and there were some quite you could say aggressive loans 123 00:06:24,520 --> 00:06:26,560 Speaker 1: made that's say, five years ago, when when rates were 124 00:06:26,600 --> 00:06:29,320 Speaker 1: near zero and you know, leverage was quite high in 125 00:06:29,320 --> 00:06:31,320 Speaker 1: some of those deals. But is this a real sort 126 00:06:31,320 --> 00:06:34,200 Speaker 1: of reckoning for that sector right now? Are there really 127 00:06:34,360 --> 00:06:36,640 Speaker 1: bigger problems that we should be worried about. 128 00:06:36,880 --> 00:06:39,039 Speaker 3: Look, I do think everybody has to take a step 129 00:06:39,040 --> 00:06:42,000 Speaker 3: back and think about how the business model is going 130 00:06:42,040 --> 00:06:46,600 Speaker 3: to exist, coexist with AI and change. I do believe 131 00:06:46,680 --> 00:06:48,280 Speaker 3: that a lot of the money and these SaaS products 132 00:06:48,320 --> 00:06:51,760 Speaker 3: is sticky. It will it will serve a purpose, and 133 00:06:51,839 --> 00:06:54,240 Speaker 3: it really sets up for people who don't want to 134 00:06:54,360 --> 00:06:59,520 Speaker 3: necessarily build these these programs the software themselves. So I 135 00:06:59,720 --> 00:07:01,960 Speaker 3: think there's a role for it in the future. But 136 00:07:02,080 --> 00:07:04,800 Speaker 3: what's clear to me is that growth rates are going 137 00:07:04,800 --> 00:07:07,520 Speaker 3: to change. I think the pricing dynamic is going to 138 00:07:07,560 --> 00:07:09,600 Speaker 3: be challenged. If you show up and you're going to 139 00:07:09,640 --> 00:07:12,280 Speaker 3: ask for your typical year over year prices increase, I 140 00:07:12,320 --> 00:07:15,040 Speaker 3: would expect that to be a challenging conversation and that 141 00:07:15,080 --> 00:07:17,920 Speaker 3: will ultimately iner to the multiple and thus the enterprise 142 00:07:18,000 --> 00:07:22,040 Speaker 3: value that these credits can support. We did see a 143 00:07:22,080 --> 00:07:25,360 Speaker 3: period with very over leverage software valuations that led into 144 00:07:25,400 --> 00:07:27,400 Speaker 3: the private credit markets, and a lot of that is 145 00:07:27,440 --> 00:07:29,480 Speaker 3: going to be coming do as you cycle through the 146 00:07:29,560 --> 00:07:33,200 Speaker 3: five year seven year maturity stack of those vintage buyouts 147 00:07:33,240 --> 00:07:36,360 Speaker 3: that are coming to the forefront. So I do think 148 00:07:36,400 --> 00:07:38,400 Speaker 3: we are going to see real pressure in this space. 149 00:07:39,040 --> 00:07:41,600 Speaker 3: It won't be as bad as it is appearing to 150 00:07:41,680 --> 00:07:45,440 Speaker 3: be today, and what's being discussed and of course is 151 00:07:45,520 --> 00:07:48,440 Speaker 3: front and center and feels emotional for people. But I 152 00:07:48,480 --> 00:07:50,320 Speaker 3: do think we're going to see real stress in the market. 153 00:07:50,320 --> 00:07:53,000 Speaker 3: And this is typically the way credit cycles have been 154 00:07:53,000 --> 00:07:55,680 Speaker 3: playing out over the last decade. Right, If we go 155 00:07:55,800 --> 00:07:58,600 Speaker 3: back two or three decades, you tend to see big 156 00:07:58,680 --> 00:08:01,520 Speaker 3: macro and do cycles that really took down the market 157 00:08:01,560 --> 00:08:05,080 Speaker 3: as a whole. I've been investing now for twenty three years. 158 00:08:05,120 --> 00:08:08,440 Speaker 3: I only remember one cycle in my real investing career 159 00:08:08,880 --> 00:08:12,640 Speaker 3: like that, which was the GFC the last call it 160 00:08:12,720 --> 00:08:15,240 Speaker 3: fifteen years or so. Of credit cycles have been very 161 00:08:15,360 --> 00:08:18,480 Speaker 3: sector specific, whether it was energy, So I think software 162 00:08:18,520 --> 00:08:20,400 Speaker 3: will be no different, and we will see a full 163 00:08:20,440 --> 00:08:23,520 Speaker 3: credit cycle as the reckoning really comes to resize capital 164 00:08:23,520 --> 00:08:26,920 Speaker 3: structures to the earnings power of these business models. But 165 00:08:27,040 --> 00:08:29,160 Speaker 3: it won't be as bad as it's it's bill to be. 166 00:08:29,320 --> 00:08:31,120 Speaker 1: Right now, do you have any idea what the default 167 00:08:31,200 --> 00:08:33,280 Speaker 1: rate might be in that sector? I mean we're talking 168 00:08:33,280 --> 00:08:35,920 Speaker 1: about sort of low, you know, four to five and 169 00:08:36,160 --> 00:08:39,160 Speaker 1: leverage loans is kind of what we'd see for this. 170 00:08:39,360 --> 00:08:41,200 Speaker 3: No, my guess is it's gonna it's going to be 171 00:08:41,400 --> 00:08:45,320 Speaker 3: significantly more than that multiples. It could you could see 172 00:08:45,320 --> 00:08:48,520 Speaker 3: this peak at you know, high single digits, low double digits. 173 00:08:48,520 --> 00:08:52,000 Speaker 3: That wouldn't surprise me by by any means. But it's 174 00:08:52,040 --> 00:08:54,160 Speaker 3: really hard to put a lens to that without having 175 00:08:54,200 --> 00:08:56,679 Speaker 3: a full grasp of the entirety of the market. 176 00:08:57,480 --> 00:09:02,440 Speaker 2: Maybe just a quick follow on to to the software discussion, 177 00:09:03,000 --> 00:09:06,319 Speaker 2: what are the pros and cons from a credit perspective 178 00:09:06,400 --> 00:09:09,920 Speaker 2: of software? You know, like sort of we hear a 179 00:09:09,960 --> 00:09:12,360 Speaker 2: lot in the press and just sort of general discussion 180 00:09:12,400 --> 00:09:14,240 Speaker 2: out there. Oh, software is going to get killed. But 181 00:09:14,320 --> 00:09:17,200 Speaker 2: software has got a lot of defenses, doesn't it. You know, 182 00:09:17,280 --> 00:09:21,920 Speaker 2: the nature of the contracts, the mission critical element of 183 00:09:21,960 --> 00:09:25,280 Speaker 2: some of the software. Even though AI might be able 184 00:09:25,280 --> 00:09:29,040 Speaker 2: to do things that the existing software can do, it 185 00:09:29,120 --> 00:09:30,840 Speaker 2: might be difficult to root it out because of the 186 00:09:30,840 --> 00:09:32,640 Speaker 2: way that it's integrated into systems. 187 00:09:34,760 --> 00:09:36,240 Speaker 3: I agree with that. Look. I mean, at the end 188 00:09:36,280 --> 00:09:38,640 Speaker 3: of the day, there's a reason and people often take 189 00:09:38,720 --> 00:09:42,280 Speaker 3: these type of big, broad based valuation techniques to the extreme, 190 00:09:42,360 --> 00:09:45,840 Speaker 3: but there's a reason why software businesses are often talked 191 00:09:45,880 --> 00:09:49,200 Speaker 3: about as an arr multiple, right, so there is a 192 00:09:49,240 --> 00:09:52,480 Speaker 3: reoccurring revenue component of that. I think what's a challenge 193 00:09:52,480 --> 00:09:55,280 Speaker 3: now is is the business model even going to support 194 00:09:55,320 --> 00:09:58,120 Speaker 3: reoccurring revenue if somebody else can do it for you, 195 00:09:58,120 --> 00:10:02,520 Speaker 3: you know, cheaper, faster, and you don't need an intermediary. 196 00:10:02,760 --> 00:10:05,160 Speaker 3: If you think about the other aspects that are interesting 197 00:10:05,200 --> 00:10:09,600 Speaker 3: about software as a sector. Historically it's upwards of ninety 198 00:10:09,640 --> 00:10:12,520 Speaker 3: percent gross margins. It's pure free cash flow conversion. So 199 00:10:13,240 --> 00:10:15,240 Speaker 3: you have a really pure business model, which is why 200 00:10:15,280 --> 00:10:18,000 Speaker 3: it attracted so much money from the LBO community just 201 00:10:18,040 --> 00:10:21,800 Speaker 3: given the kind of perfect KPIs it supports for a 202 00:10:21,800 --> 00:10:24,839 Speaker 3: buyout if you wanted something and it was perceived to 203 00:10:24,880 --> 00:10:28,319 Speaker 3: have secular growth, low cap X, high free cash flow conversion, 204 00:10:28,440 --> 00:10:31,920 Speaker 3: reoccurring revenue. I mean, you're checking every box that somebody 205 00:10:31,920 --> 00:10:34,040 Speaker 3: who is looking to do a bio would typically want 206 00:10:34,040 --> 00:10:37,120 Speaker 3: to see. The question is how many of those features 207 00:10:37,400 --> 00:10:40,120 Speaker 3: will continue. I think for sure the business models are 208 00:10:40,160 --> 00:10:43,079 Speaker 3: not going to change if they exist in their normal 209 00:10:43,200 --> 00:10:47,079 Speaker 3: form as we historically know them, from that cash flow conversion, 210 00:10:47,840 --> 00:10:50,600 Speaker 3: from the high gross margin percentage. But how much of 211 00:10:50,640 --> 00:10:54,520 Speaker 3: that is taken in house, is built by individuals themselves, 212 00:10:54,559 --> 00:10:58,360 Speaker 3: by companies themselves, is up for question. I do believe 213 00:10:58,440 --> 00:11:01,320 Speaker 3: that a lot of this software served real purpose. A 214 00:11:01,320 --> 00:11:05,440 Speaker 3: lot of it is not that expensive. There's subscriptions that 215 00:11:05,520 --> 00:11:08,640 Speaker 3: are very embedded in broad corporate ecosystems. We're talking a 216 00:11:08,679 --> 00:11:11,160 Speaker 3: couple hundred thousand dollars a year, and you have to 217 00:11:11,160 --> 00:11:13,000 Speaker 3: think about just what is the maintenance to hire an 218 00:11:13,040 --> 00:11:16,120 Speaker 3: engineer to do that, How does it actually play out 219 00:11:16,160 --> 00:11:18,400 Speaker 3: in a day in, day out basis. It's no different 220 00:11:18,440 --> 00:11:21,120 Speaker 3: than consuming a service. So to think that at the 221 00:11:21,200 --> 00:11:23,040 Speaker 3: end of the day, we're all just going to decide 222 00:11:23,040 --> 00:11:26,160 Speaker 3: that because we have an agent who can do this 223 00:11:26,280 --> 00:11:28,520 Speaker 3: for us, that we want to leverage that for everything 224 00:11:28,600 --> 00:11:33,040 Speaker 3: with no intermediary I don't believe that will happen. Do 225 00:11:33,080 --> 00:11:35,679 Speaker 3: I think that the price tag for it will come down? Sure? 226 00:11:36,200 --> 00:11:39,680 Speaker 3: Do I think the leverage associated with contract renewals, duration 227 00:11:39,760 --> 00:11:42,840 Speaker 3: of contracts are going to change? Yes, all those things 228 00:11:42,920 --> 00:11:45,920 Speaker 3: will make it a less attractive investment for both sponsors 229 00:11:45,960 --> 00:11:49,560 Speaker 3: and for lenders. And thus anybody who has significant exposure 230 00:11:49,600 --> 00:11:52,760 Speaker 3: to it via their historical investments is going to have 231 00:11:52,840 --> 00:11:54,760 Speaker 3: to really think about that. And we're going to see 232 00:11:54,800 --> 00:11:58,280 Speaker 3: challenge refinancings for sure. If you just look multiple stuff 233 00:11:58,320 --> 00:12:01,800 Speaker 3: come down for your average business something around nineteen times ibadad. 234 00:12:01,840 --> 00:12:05,040 Speaker 3: Now we're sitting at rynd fourteen fifteen times. So when 235 00:12:05,080 --> 00:12:08,840 Speaker 3: you start to lose twenty plus percent of your ev overnight, 236 00:12:09,800 --> 00:12:11,600 Speaker 3: that's going to be challenged the next time you show 237 00:12:11,679 --> 00:12:14,240 Speaker 3: up and need to get money, especially when people are 238 00:12:14,320 --> 00:12:16,920 Speaker 3: historically over allocated to the asse class, so they're not 239 00:12:16,960 --> 00:12:19,360 Speaker 3: going to be proactively looking to add. 240 00:12:19,840 --> 00:12:21,280 Speaker 1: And the fair is saying right now, a little b 241 00:12:21,280 --> 00:12:23,720 Speaker 1: it's about the unknown. And you know the private nature 242 00:12:23,720 --> 00:12:26,720 Speaker 1: of private credit makes everyone a bit you know, they 243 00:12:26,760 --> 00:12:29,680 Speaker 1: assume the worst is is it necessarily worse in private 244 00:12:29,679 --> 00:12:31,800 Speaker 1: credit because you know when we talk to private credit people, 245 00:12:31,840 --> 00:12:34,200 Speaker 1: they say, well, they've got more access to documents, they 246 00:12:34,240 --> 00:12:36,520 Speaker 1: see more information, they have the to covenants, all this stuff. 247 00:12:36,679 --> 00:12:41,079 Speaker 1: But is the selfware problem worse essentially in private credit. 248 00:12:41,200 --> 00:12:41,280 Speaker 2: No. 249 00:12:41,600 --> 00:12:45,360 Speaker 3: I think that is something that's often over debated and 250 00:12:45,400 --> 00:12:49,080 Speaker 3: over pushed, this notion that private credit is some significantly 251 00:12:49,280 --> 00:12:51,600 Speaker 3: more mishandled or worse asset class. I mean, you have 252 00:12:51,640 --> 00:12:54,040 Speaker 3: the same dynamic and broadly syndicated loans as you do 253 00:12:54,080 --> 00:12:57,160 Speaker 3: in private credit. Often you have you know, better liquidity 254 00:12:57,280 --> 00:12:59,840 Speaker 3: dynamics in a ten year locked up draw down fun 255 00:13:00,120 --> 00:13:02,880 Speaker 3: So you know there's a comment on that earlier. I 256 00:13:02,920 --> 00:13:05,280 Speaker 3: do think there are barriers to kind of manage some 257 00:13:05,360 --> 00:13:08,440 Speaker 3: of that. I think this dynamic exists at large. This 258 00:13:08,600 --> 00:13:12,520 Speaker 3: is just classic credit cycle where a sector received undue 259 00:13:12,520 --> 00:13:16,440 Speaker 3: attention and enormous amounts of money. There's now been a 260 00:13:16,520 --> 00:13:19,440 Speaker 3: flying the ointment, if you will, which is challenging the 261 00:13:19,520 --> 00:13:22,680 Speaker 3: perception today. Let's call it that. It's the perception today 262 00:13:22,720 --> 00:13:25,679 Speaker 3: of what the longevity of that asset class and of 263 00:13:25,679 --> 00:13:27,679 Speaker 3: that sector will be over time. And that's going to 264 00:13:27,720 --> 00:13:31,839 Speaker 3: have real implications for leverage, capital structures, leverage cuts both ways. Right, 265 00:13:32,360 --> 00:13:34,160 Speaker 3: It's fun on the way up, it's really painful on 266 00:13:34,200 --> 00:13:37,160 Speaker 3: the way down. And this is this is going to 267 00:13:37,200 --> 00:13:39,880 Speaker 3: have some real, real issues over the coming years. 268 00:13:39,920 --> 00:13:42,520 Speaker 1: You know, credit does have a strong bid you know 269 00:13:42,559 --> 00:13:45,440 Speaker 1: that spreads out very tight. There is more demand evidently 270 00:13:45,520 --> 00:13:48,840 Speaker 1: than supply. But is there potential for this to spread 271 00:13:48,880 --> 00:13:52,400 Speaker 1: in terms of contagion across credit markets if the software 272 00:13:52,480 --> 00:13:53,720 Speaker 1: thing really does spiral. 273 00:13:54,360 --> 00:13:57,040 Speaker 3: Yeah. So, I mean we've been seeing the headlines and 274 00:13:57,080 --> 00:13:59,520 Speaker 3: you know, every day it seems like there's another sector 275 00:13:59,559 --> 00:14:03,040 Speaker 3: that comes understorm from the AI risk associated with it. 276 00:14:03,080 --> 00:14:06,280 Speaker 3: I do think there's a lot of baby with the 277 00:14:06,320 --> 00:14:09,319 Speaker 3: bath order here. Certain sectors like software have real acute 278 00:14:09,320 --> 00:14:11,360 Speaker 3: issues that are going to need to be addressed. There's others, 279 00:14:12,080 --> 00:14:16,160 Speaker 3: whether it's registered investment advisors that I think are getting 280 00:14:16,280 --> 00:14:19,360 Speaker 3: undue pressure, where there's a real relationship required, there's a 281 00:14:19,480 --> 00:14:23,960 Speaker 3: nuanced sell in that is going to be a longstanding 282 00:14:24,280 --> 00:14:26,880 Speaker 3: driver of that relationship and how the business model is 283 00:14:26,920 --> 00:14:29,920 Speaker 3: monetized over time. So as always, there will be opportunity. 284 00:14:30,040 --> 00:14:32,360 Speaker 3: I think there hasn't been a lot of discussion around 285 00:14:32,480 --> 00:14:35,000 Speaker 3: just what is going to happen from the opportunity that 286 00:14:35,120 --> 00:14:37,800 Speaker 3: this kind of panic, if you will. I don't know 287 00:14:37,840 --> 00:14:39,920 Speaker 3: if it's full scale panic yet, but there is a 288 00:14:39,960 --> 00:14:42,560 Speaker 3: lot of noise i'll call it that in the markets 289 00:14:42,640 --> 00:14:45,200 Speaker 3: right now we'll bring and so we're very focused on that. 290 00:14:45,640 --> 00:14:48,880 Speaker 3: Where can we look to see the opportunities that stem 291 00:14:48,960 --> 00:14:55,240 Speaker 3: But I do think that this will be largely contained 292 00:14:55,280 --> 00:14:58,360 Speaker 3: to a few specific sectors. I don't think credit at 293 00:14:58,440 --> 00:15:02,200 Speaker 3: large is going to see of, you know, increases in defaults. 294 00:15:03,760 --> 00:15:06,280 Speaker 3: Where I started and I do want to go back 295 00:15:06,320 --> 00:15:09,160 Speaker 3: to is I do think credit is priced for perfection here. 296 00:15:09,200 --> 00:15:11,360 Speaker 3: So when I look at credit in general, like we 297 00:15:11,440 --> 00:15:14,800 Speaker 3: have the luxury of being able to do things in 298 00:15:14,880 --> 00:15:18,920 Speaker 3: public markets and private markets were largely origination business, really 299 00:15:19,080 --> 00:15:23,800 Speaker 3: partnering with families, founder led companies, sponsors, and public companies. 300 00:15:24,480 --> 00:15:26,840 Speaker 3: But when I look at the things we can do, 301 00:15:28,360 --> 00:15:30,920 Speaker 3: there is just a lot more interesting things that touch 302 00:15:31,000 --> 00:15:33,880 Speaker 3: kind of partnership capital that has a more equity orientation 303 00:15:34,040 --> 00:15:36,680 Speaker 3: rather than setting up for what will always be credit 304 00:15:36,760 --> 00:15:39,520 Speaker 3: is a fixed return product. And when you start to 305 00:15:39,560 --> 00:15:42,840 Speaker 3: see spreads around that three hundred, with the tails the 306 00:15:42,840 --> 00:15:47,800 Speaker 3: way they sit today, the risk reward just isn't there. Right. 307 00:15:48,080 --> 00:15:50,320 Speaker 2: I want to get into that subject at sort of 308 00:15:50,360 --> 00:15:52,800 Speaker 2: hybrid capital, but before we sort of get there, just 309 00:15:52,840 --> 00:15:54,720 Speaker 2: want to close on one thing on what we're talking 310 00:15:54,720 --> 00:15:57,000 Speaker 2: about now, the risks to private credit, the. 311 00:15:56,960 --> 00:15:57,720 Speaker 3: Risk of the sector. 312 00:16:00,080 --> 00:16:03,000 Speaker 2: You know, I've I've had fielded lots of questions from 313 00:16:03,040 --> 00:16:06,680 Speaker 2: a lot of different investors and terminal users about this 314 00:16:06,720 --> 00:16:09,400 Speaker 2: whole software issue, and then obviously over the last week 315 00:16:09,440 --> 00:16:12,920 Speaker 2: all of this this fun withdrawal discussion from a private 316 00:16:12,920 --> 00:16:18,120 Speaker 2: BDCs has come up. But in my view, the biggest 317 00:16:18,240 --> 00:16:21,440 Speaker 2: risk confronting private credit and credit markets in general is 318 00:16:21,480 --> 00:16:24,800 Speaker 2: a deep and extended recession, which I think is you know, 319 00:16:25,320 --> 00:16:27,960 Speaker 2: kind of pretty much the way that it always is. 320 00:16:29,560 --> 00:16:31,760 Speaker 2: Do you think that do you think that's the right view, 321 00:16:31,840 --> 00:16:32,920 Speaker 2: or do you have a different view of that. 322 00:16:33,600 --> 00:16:35,600 Speaker 3: No. I think I think that's right. If we generally 323 00:16:35,600 --> 00:16:38,720 Speaker 3: look there's you haven't ever seen a full blown credit 324 00:16:38,760 --> 00:16:42,440 Speaker 3: cycle that was multisector that didn't start with a recession, 325 00:16:42,560 --> 00:16:46,160 Speaker 3: right that or some exogenous shock, even something like the 326 00:16:46,160 --> 00:16:49,320 Speaker 3: pandemic was relatively short lived. Granted a lot of stimulus 327 00:16:49,320 --> 00:16:53,840 Speaker 3: money came into kind of calm the situation. But I 328 00:16:54,080 --> 00:16:57,640 Speaker 3: think that's the right comment that a macroeconomic driven shock 329 00:16:57,760 --> 00:17:00,000 Speaker 3: or recession is what's going to drive a credit cycle. 330 00:17:00,120 --> 00:17:02,440 Speaker 3: And I think it's hard to look at what we 331 00:17:02,520 --> 00:17:06,440 Speaker 3: see today and really paint forward how we see it 332 00:17:06,560 --> 00:17:10,359 Speaker 3: deep deep recession or recession at least for anything in 333 00:17:10,400 --> 00:17:15,000 Speaker 3: the next twelve months. As we said, GDP is growing nicely, 334 00:17:15,840 --> 00:17:17,920 Speaker 3: You're going to have some tax stimulus that comes through 335 00:17:17,920 --> 00:17:22,560 Speaker 3: to consumers. Corporates are generating cash and still growing. There's 336 00:17:22,600 --> 00:17:26,600 Speaker 3: an overlay that we can discuss on bare tail cases 337 00:17:26,760 --> 00:17:30,400 Speaker 3: for AI as it disintermediates industries. But I think it's 338 00:17:30,480 --> 00:17:34,000 Speaker 3: really hard with conviction to ever say that you can 339 00:17:34,400 --> 00:17:36,280 Speaker 3: make a large scale bet on that. Do I think 340 00:17:36,320 --> 00:17:38,480 Speaker 3: you can play in the tails? Somebody tells me they 341 00:17:38,480 --> 00:17:42,119 Speaker 3: want to buy receivers on short end of the curve 342 00:17:42,240 --> 00:17:44,320 Speaker 3: because they think the FED could need to cut rates, 343 00:17:44,400 --> 00:17:48,239 Speaker 3: or they want to buy CDX on you know, ig credit. Like, 344 00:17:48,320 --> 00:17:50,960 Speaker 3: all these things make sense with the right payouts because 345 00:17:50,960 --> 00:17:53,199 Speaker 3: what a lot of investors are paid to do is 346 00:17:53,240 --> 00:17:56,679 Speaker 3: to manage the tails. But when you look at the 347 00:17:56,720 --> 00:17:58,960 Speaker 3: evidence in front of us today, I don't see the 348 00:17:59,160 --> 00:18:02,800 Speaker 3: ingredients for a full scale recession to drive a credit cycle. 349 00:18:02,840 --> 00:18:03,840 Speaker 3: I just don't see it today. 350 00:18:04,960 --> 00:18:06,480 Speaker 1: One of the things that has sort of come out 351 00:18:06,480 --> 00:18:08,720 Speaker 1: of this whole blue out situation is the idea that 352 00:18:08,760 --> 00:18:12,399 Speaker 1: the loans are being sold on to other parties, you know, 353 00:18:12,680 --> 00:18:16,719 Speaker 1: including their own insurance company. But clos seem to be 354 00:18:16,800 --> 00:18:20,000 Speaker 1: also another buyer of this stuff, raising the idea that 355 00:18:20,040 --> 00:18:22,399 Speaker 1: you know, CLO is particularly risky. Clos have been, I 356 00:18:22,440 --> 00:18:24,600 Speaker 1: have to say, one of the favorite trades of every 357 00:18:24,640 --> 00:18:26,359 Speaker 1: investor that's been on this show. I know you have 358 00:18:26,400 --> 00:18:29,000 Speaker 1: a big CLO business, but is there any kind of 359 00:18:29,000 --> 00:18:31,240 Speaker 1: potential risk there for the clos in terms of these 360 00:18:31,280 --> 00:18:34,640 Speaker 1: loans being sold out of BDCs and put into other pools. 361 00:18:35,280 --> 00:18:38,600 Speaker 3: I mean, look that that was a negotiated transaction. I 362 00:18:38,680 --> 00:18:41,000 Speaker 3: assume I wasn't in the in the details on how 363 00:18:41,040 --> 00:18:44,080 Speaker 3: that that actually got cut from a pricing perspective. But 364 00:18:44,119 --> 00:18:47,800 Speaker 3: what I would say is clos have historically been, to 365 00:18:47,840 --> 00:18:50,320 Speaker 3: your point, a popular trade because it's been a good 366 00:18:50,320 --> 00:18:53,280 Speaker 3: business model, right, it's been well insulated. Even if we 367 00:18:53,320 --> 00:18:56,440 Speaker 3: go back to the GFC, recoveries were really strong. As 368 00:18:56,440 --> 00:18:58,600 Speaker 3: you start to get to your more levered tranches, I 369 00:18:58,640 --> 00:19:01,240 Speaker 3: do think what we're seeing in sector like software, where 370 00:19:01,280 --> 00:19:05,399 Speaker 3: people have ten, thirteen, fourteen percent exposure to the sector, 371 00:19:05,480 --> 00:19:07,800 Speaker 3: could start to pose problems for some of those thin 372 00:19:08,040 --> 00:19:11,119 Speaker 3: levered equity tranches that were, you know, starting to price 373 00:19:11,200 --> 00:19:14,120 Speaker 3: around eleven percent. Didn't didn't make a lot of sense 374 00:19:14,200 --> 00:19:17,560 Speaker 3: to us. So we've we've thought that was a really 375 00:19:17,640 --> 00:19:20,240 Speaker 3: interesting trade a couple of years ago, last couple of 376 00:19:20,320 --> 00:19:23,560 Speaker 3: years become much less so. But that's where you will 377 00:19:23,560 --> 00:19:25,879 Speaker 3: see some of these problems start to incubate. I think 378 00:19:25,920 --> 00:19:28,359 Speaker 3: the more senior tranches of a COLO are going to 379 00:19:28,440 --> 00:19:29,119 Speaker 3: fair just fine. 380 00:19:29,320 --> 00:19:33,119 Speaker 1: Okay, So looking sort of broader at private I know 381 00:19:33,200 --> 00:19:35,800 Speaker 1: you look at asset based finance, which is a huge 382 00:19:36,240 --> 00:19:40,199 Speaker 1: area of growth also investment grade private credit. I just 383 00:19:40,280 --> 00:19:42,520 Speaker 1: kind of wanted to, you know, in that context's got 384 00:19:42,520 --> 00:19:44,240 Speaker 1: to get your sense of what that actually means, because 385 00:19:44,240 --> 00:19:46,320 Speaker 1: we have so many discussions around you know, what this market. 386 00:19:46,400 --> 00:19:48,720 Speaker 1: Some people say it's a forty trillion market and it 387 00:19:48,800 --> 00:19:51,280 Speaker 1: involves it's about everything you can see around you. But 388 00:19:51,800 --> 00:19:53,920 Speaker 1: to bame, what does what does this actually mean? 389 00:19:54,160 --> 00:19:58,000 Speaker 3: Yeah, so we think about our business within special situations 390 00:19:58,080 --> 00:20:01,000 Speaker 3: is really divided into into two half. We have corporate 391 00:20:01,000 --> 00:20:04,040 Speaker 3: capital solutions and we have acid based capital solutions. So 392 00:20:04,119 --> 00:20:06,360 Speaker 3: let's talk about the acid side, which is what you're 393 00:20:06,440 --> 00:20:10,480 Speaker 3: referring to. We define that really is everything that touches 394 00:20:10,560 --> 00:20:14,719 Speaker 3: a cash flow producing real good or tangible or tangible asset. 395 00:20:15,440 --> 00:20:18,320 Speaker 3: So you're right, that is a massive market. There are 396 00:20:18,640 --> 00:20:20,600 Speaker 3: very varying views on how big it is, but let's 397 00:20:20,640 --> 00:20:23,240 Speaker 3: just say that they all will note that the market 398 00:20:23,280 --> 00:20:26,879 Speaker 3: is very large. It's as extremely big pool that was 399 00:20:27,040 --> 00:20:30,639 Speaker 3: historically dominated by bank balance sheets, and as a result, 400 00:20:30,760 --> 00:20:34,720 Speaker 3: just the way we saw with corporate credit of tightening regulation, 401 00:20:35,000 --> 00:20:38,040 Speaker 3: stuff started moving off bank balance sheet and going into 402 00:20:38,080 --> 00:20:42,040 Speaker 3: the private markets. That's really been the advent of ABF 403 00:20:42,280 --> 00:20:46,119 Speaker 3: as people call it nowadays, over the last four or 404 00:20:46,119 --> 00:20:49,040 Speaker 3: five years. I think what's funny is for many investors 405 00:20:49,080 --> 00:20:51,480 Speaker 3: that have been doing this twenty plus years, we often 406 00:20:51,920 --> 00:20:53,880 Speaker 3: you know, snicker and say this is just structured credit. 407 00:20:53,920 --> 00:20:56,560 Speaker 3: We used to call it structured credit. Now it's called ABF. Yes, 408 00:20:56,600 --> 00:20:59,200 Speaker 3: it's broadened around the edges, and I think, like all 409 00:20:59,240 --> 00:21:04,000 Speaker 3: asset classes, it's evolved with technology. Some of the more 410 00:21:04,359 --> 00:21:07,440 Speaker 3: unique financings we've seen around GPUs, some of the structured 411 00:21:07,480 --> 00:21:10,720 Speaker 3: financings around data centers, this is all just financial technology 412 00:21:11,200 --> 00:21:15,159 Speaker 3: that is growing with a broad based asset class over time. 413 00:21:15,560 --> 00:21:20,160 Speaker 3: So starting with that hierarchy of huge market tangible cash 414 00:21:20,160 --> 00:21:24,040 Speaker 3: flow driven asset investing, we think of it really where 415 00:21:24,040 --> 00:21:27,680 Speaker 3: we could put mezzanine debt or kind of core debt 416 00:21:27,800 --> 00:21:31,359 Speaker 3: against a really stable and cash flow generating asset, or 417 00:21:31,440 --> 00:21:36,159 Speaker 3: secondarily create the residual equity underneath that at an attractive yield. 418 00:21:36,600 --> 00:21:39,320 Speaker 3: Why that appeals to us is it's an equity like return, 419 00:21:39,880 --> 00:21:42,879 Speaker 3: but underwriting a credit like profile. And that is the 420 00:21:42,960 --> 00:21:45,480 Speaker 3: aviation leasing asset class where we have a ten billion 421 00:21:45,560 --> 00:21:49,199 Speaker 3: dollar plus business. That's the royalties you and I were 422 00:21:49,280 --> 00:21:53,600 Speaker 3: chatting earlier about in music, in healthcare and others where 423 00:21:53,640 --> 00:21:57,879 Speaker 3: you can create really interesting derivative credit returns several hundred 424 00:21:57,920 --> 00:22:00,520 Speaker 3: basis points of spread wider and what's nice is you're 425 00:22:00,520 --> 00:22:02,800 Speaker 3: actually devoid of a lot of what we're talking about 426 00:22:02,800 --> 00:22:05,440 Speaker 3: on this corporate side. We see that in other parts 427 00:22:05,480 --> 00:22:07,920 Speaker 3: of our business. But in the asset side, there's there's 428 00:22:07,960 --> 00:22:12,400 Speaker 3: different risks to manage different opportunity. But it's basically US 429 00:22:12,640 --> 00:22:15,680 Speaker 3: is it ABS, but it's just private. Is that the difference? Yeah, Well, 430 00:22:15,720 --> 00:22:18,560 Speaker 3: I mean, look again, people will define ABF as both 431 00:22:18,840 --> 00:22:22,240 Speaker 3: public and private. So there's the more syndicated approach of 432 00:22:22,359 --> 00:22:25,760 Speaker 3: you know, the historical desk to desk securitized loans and 433 00:22:26,160 --> 00:22:29,520 Speaker 3: bonds that are coming to market. Then there's the Fury 434 00:22:29,600 --> 00:22:32,760 Speaker 3: two market, which is private IG. You reference that those 435 00:22:32,800 --> 00:22:37,520 Speaker 3: are loans that are privately placed against corporates that could 436 00:22:37,560 --> 00:22:40,840 Speaker 3: be some of your largest corporates in the world, that 437 00:22:40,880 --> 00:22:43,639 Speaker 3: could be more mid sized corporates, but generally are falling 438 00:22:43,640 --> 00:22:46,560 Speaker 3: in that IG bucket. And then there's this entire universe 439 00:22:47,359 --> 00:22:50,359 Speaker 3: that is developing. There are some of the larger shops 440 00:22:50,359 --> 00:22:53,120 Speaker 3: are trading this data associated with it, and there are 441 00:22:53,160 --> 00:22:56,480 Speaker 3: individuals like ourselves who are interested in helping put a 442 00:22:56,560 --> 00:23:00,640 Speaker 3: package together where we are effectively putting a structure security 443 00:23:00,640 --> 00:23:03,880 Speaker 3: together for a large corporate where we ultimately own that 444 00:23:04,000 --> 00:23:07,560 Speaker 3: first loss residual tranch, but your risk is really to 445 00:23:07,920 --> 00:23:11,800 Speaker 3: an excellent IG investment grade credit and there are substantial 446 00:23:11,800 --> 00:23:14,080 Speaker 3: buyers for the senior part of that risk. There are 447 00:23:14,119 --> 00:23:17,000 Speaker 3: other players like ourselves who will want to own the 448 00:23:17,040 --> 00:23:20,960 Speaker 3: more junior tranches. We saw that with the meta financing 449 00:23:21,280 --> 00:23:23,760 Speaker 3: against the large data center deal. There's been a number 450 00:23:23,760 --> 00:23:26,639 Speaker 3: of use cases for this and it's going to grow 451 00:23:27,280 --> 00:23:28,639 Speaker 3: rapidly over the coming years. 452 00:23:29,000 --> 00:23:33,040 Speaker 2: Who are the end users for the yield that these 453 00:23:33,080 --> 00:23:33,760 Speaker 2: products are. 454 00:23:33,600 --> 00:23:36,639 Speaker 3: Able to generate? And when you say end users, I 455 00:23:36,680 --> 00:23:40,200 Speaker 3: mean I think it's twofold. So there are total return 456 00:23:40,240 --> 00:23:44,080 Speaker 3: investors like ourselves who are interested in What I'll say 457 00:23:44,119 --> 00:23:47,639 Speaker 3: is that residual equity and a large scale private IG trade. 458 00:23:48,040 --> 00:23:52,320 Speaker 3: The end user from a counter party perspective is anyone 459 00:23:52,400 --> 00:23:57,479 Speaker 3: who wants equity treatment from a rating agency which has 460 00:23:57,480 --> 00:23:59,960 Speaker 3: been able to be achieved through some of the structure 461 00:24:00,160 --> 00:24:06,000 Speaker 3: year without getting a balance sheet levered with more debt. 462 00:24:06,080 --> 00:24:09,640 Speaker 3: So it's an efficient form of capital structured to achieve 463 00:24:10,040 --> 00:24:14,359 Speaker 3: a ratings outcome, but still facing a counterparty with tremendous 464 00:24:14,359 --> 00:24:17,200 Speaker 3: credit worthiness. So I don't get worried. You know, often 465 00:24:17,200 --> 00:24:20,240 Speaker 3: when we go down the path of structured credit and 466 00:24:20,280 --> 00:24:22,800 Speaker 3: we can all go back to the CDO days and 467 00:24:22,880 --> 00:24:25,199 Speaker 3: CDO squares, and anytime you start to get into this 468 00:24:25,280 --> 00:24:28,639 Speaker 3: derivative financial technology, things get a little murky, and I 469 00:24:28,640 --> 00:24:31,199 Speaker 3: think we should all perk up and think about the risks. 470 00:24:31,240 --> 00:24:34,280 Speaker 3: But when you're facing some of the largest corporates in 471 00:24:34,320 --> 00:24:37,120 Speaker 3: the world, and in many ways borrowing their balance sheet 472 00:24:37,320 --> 00:24:41,280 Speaker 3: to achieve a highly structured deal meets their objectives, meets 473 00:24:41,280 --> 00:24:45,080 Speaker 3: the return profile of an investor, I don't see a 474 00:24:45,080 --> 00:24:47,280 Speaker 3: lot of risk in these private IG traits. I think 475 00:24:47,280 --> 00:24:49,960 Speaker 3: that's actually one of the more sound parts of the market. 476 00:24:50,560 --> 00:24:55,600 Speaker 2: In this private IG market it, I mean, it seems 477 00:24:55,640 --> 00:24:58,040 Speaker 2: to run into the tens of trillions of dollars. Maybe 478 00:24:58,119 --> 00:25:00,800 Speaker 2: can just sort of provide some of your thoughts on 479 00:25:00,840 --> 00:25:05,760 Speaker 2: the dimensions of the addressable market and where that market exists. 480 00:25:05,800 --> 00:25:09,560 Speaker 2: Is it mainly in the US? Is it a global market. 481 00:25:10,359 --> 00:25:12,320 Speaker 3: It's certainly a global market. We've seen a lot of 482 00:25:12,359 --> 00:25:17,399 Speaker 3: these investments in Europe nell as well as the US. 483 00:25:17,440 --> 00:25:19,639 Speaker 3: We haven't seen a lot of in Asia yet, but 484 00:25:19,840 --> 00:25:21,919 Speaker 3: it will come to that market. We're a big player 485 00:25:21,920 --> 00:25:25,240 Speaker 3: there and we're talking to folks about it. So I 486 00:25:25,280 --> 00:25:28,199 Speaker 3: think the addressable market is going to be tremendous. I 487 00:25:28,240 --> 00:25:31,800 Speaker 3: think what will happen is pricing associated with this will 488 00:25:31,800 --> 00:25:36,800 Speaker 3: compress materially. As we've seen spreads generally, you know, one 489 00:25:36,880 --> 00:25:39,320 Speaker 3: hundred and fifty to two hundred and fifty basis points 490 00:25:39,359 --> 00:25:43,240 Speaker 3: wide of the observable tradeable debt of some public tradeable 491 00:25:43,280 --> 00:25:46,080 Speaker 3: debt of some of these large corporates of which they 492 00:25:46,080 --> 00:25:49,800 Speaker 3: were handing to investors for the ease of purpose, the 493 00:25:49,800 --> 00:25:52,760 Speaker 3: structuring expertise to come and deliver a five billion, a 494 00:25:52,800 --> 00:25:56,400 Speaker 3: ten billion dollars twenty billion dollar deal. As this get 495 00:25:56,480 --> 00:25:59,560 Speaker 3: as this technology gets more and more familiar, as it 496 00:25:59,600 --> 00:26:02,960 Speaker 3: works way through corporate boards and management teams, and more 497 00:26:03,000 --> 00:26:06,119 Speaker 3: and more investors step up to want to participate, we 498 00:26:06,119 --> 00:26:10,960 Speaker 3: should see those spreads shrinks significantly. I've been surprised at 499 00:26:11,600 --> 00:26:14,160 Speaker 3: the sustainability they've had over the last eighteen months. We're 500 00:26:14,200 --> 00:26:16,440 Speaker 3: just starting to see them compress the last six. But 501 00:26:16,600 --> 00:26:19,960 Speaker 3: we talked about, you know, companies like Verizon, which everyone 502 00:26:20,000 --> 00:26:22,560 Speaker 3: knows yields at what nineteen percent of something which just 503 00:26:22,560 --> 00:26:24,920 Speaker 3: seems too good to be true. But on the other 504 00:26:24,960 --> 00:26:27,800 Speaker 3: side is that why would Verizon's CFO even entertain such 505 00:26:27,840 --> 00:26:30,920 Speaker 3: a financing when they can go to the IG bummuckt 506 00:26:31,000 --> 00:26:33,760 Speaker 3: and burrow very very tight spreads. Yeah, I don't know 507 00:26:33,800 --> 00:26:36,680 Speaker 3: the specific deal you're talking about there, but I case 508 00:26:36,720 --> 00:26:39,119 Speaker 3: in point. I think when people often hear some of 509 00:26:39,119 --> 00:26:43,200 Speaker 3: the yields associated with this, they're thinking about that first 510 00:26:43,240 --> 00:26:46,800 Speaker 3: loss trunch that I'm discussing. So if you originate I'm 511 00:26:46,840 --> 00:26:49,199 Speaker 3: just throwing a number out there, a billion dollars, and 512 00:26:49,280 --> 00:26:52,399 Speaker 3: it's at a certain spread to a private or to 513 00:26:52,440 --> 00:26:58,240 Speaker 3: a IG company's publicly visible bonds, then you can go 514 00:26:58,320 --> 00:27:01,639 Speaker 3: and place the senior risks. You have this unlevered spread 515 00:27:01,640 --> 00:27:04,000 Speaker 3: you're getting for a billion dollars of risk. You can 516 00:27:04,080 --> 00:27:06,680 Speaker 3: trunch that up as you would like. Maybe you put 517 00:27:06,720 --> 00:27:09,000 Speaker 3: eighty percent in your insurance company, or by the way, 518 00:27:09,040 --> 00:27:11,439 Speaker 3: you sell that to investors who want that risk, they 519 00:27:11,520 --> 00:27:13,480 Speaker 3: just like being able to get a large allocation of 520 00:27:13,520 --> 00:27:17,479 Speaker 3: it they see at priced attractively versus those publicly traded bonds. 521 00:27:17,760 --> 00:27:21,640 Speaker 3: The investor that keeps that first loss residual fifteen percent 522 00:27:21,720 --> 00:27:24,719 Speaker 3: thick piece, let's say, is often earning something in the 523 00:27:24,760 --> 00:27:29,359 Speaker 3: mid teens. And so from a Verizon's CFO perspective, he's 524 00:27:29,480 --> 00:27:34,400 Speaker 3: just focused on the unlevered cost of capital to his business, 525 00:27:34,760 --> 00:27:37,760 Speaker 3: the ratings treatment, how it integrates with the balance sheet. 526 00:27:37,920 --> 00:27:41,840 Speaker 3: Is he able to build his business with effectively capex 527 00:27:42,160 --> 00:27:45,720 Speaker 3: off balance sheet? That is what they are focused on 528 00:27:45,920 --> 00:27:50,439 Speaker 3: the corporates, less so about how the underlying investors are 529 00:27:50,480 --> 00:27:53,240 Speaker 3: trunching up the risk and where somebody wants to place it. 530 00:27:53,240 --> 00:27:55,960 Speaker 3: It is not by any means that somebody's paying nineteen 531 00:27:56,000 --> 00:27:57,159 Speaker 3: percent on the full slugger. 532 00:27:57,720 --> 00:28:02,040 Speaker 1: Okay, other than a aviation, what other sectors do you 533 00:28:02,119 --> 00:28:04,160 Speaker 1: think good for this kind of business right now? 534 00:28:04,560 --> 00:28:06,680 Speaker 3: So when we think about ABF, as I said, we're 535 00:28:06,800 --> 00:28:10,600 Speaker 3: very active in the royalty space. Last summer we did 536 00:28:10,640 --> 00:28:12,680 Speaker 3: a big now almost two billion dollars joint venture with 537 00:28:12,720 --> 00:28:15,639 Speaker 3: Warner Music. We really like the royalty space, specifically music. 538 00:28:15,720 --> 00:28:19,879 Speaker 3: We think that's an AI winner over time. We have 539 00:28:19,920 --> 00:28:22,399 Speaker 3: a fantastic partnership with the management team there and so 540 00:28:22,480 --> 00:28:26,280 Speaker 3: have already upsized that deal. We are looking to leverage 541 00:28:26,320 --> 00:28:29,439 Speaker 3: the excellent expertise we have at Bean in healthcare, so 542 00:28:29,520 --> 00:28:33,119 Speaker 3: to do something along the healthcare royalty path similar to 543 00:28:33,160 --> 00:28:36,679 Speaker 3: what we did with Warner That's something we're under works 544 00:28:36,720 --> 00:28:41,120 Speaker 3: on right now. We are very active in digital infrastructure, so, 545 00:28:41,320 --> 00:28:44,280 Speaker 3: like many investors, see value there We've been quite cautious 546 00:28:44,280 --> 00:28:46,120 Speaker 3: in the US, so most of the stuff we've done 547 00:28:46,200 --> 00:28:49,160 Speaker 3: is ironically in Asia or in Europe. We just don't 548 00:28:49,200 --> 00:28:52,560 Speaker 3: quite have a handle on the supply demand imbalance versus 549 00:28:52,560 --> 00:28:55,719 Speaker 3: the pricing of that risk today in the US. And 550 00:28:55,760 --> 00:28:59,280 Speaker 3: then we're also looking at things across receivables, finance fleet, 551 00:28:59,320 --> 00:29:01,360 Speaker 3: Lee saying, so we can go down the list. We 552 00:29:01,520 --> 00:29:05,200 Speaker 3: just think this market is really large, really attractive. Suits 553 00:29:05,240 --> 00:29:08,480 Speaker 3: well our form of partnership capital where you can think 554 00:29:08,480 --> 00:29:12,440 Speaker 3: about creative structures and generally I'll get back to that 555 00:29:12,520 --> 00:29:16,840 Speaker 3: initial point, seeing much better relative and absolute value versus 556 00:29:17,280 --> 00:29:19,360 Speaker 3: performing credit private or public. 557 00:29:19,400 --> 00:29:21,920 Speaker 1: They're other ones, the music Royalty, which really intreasing me. 558 00:29:22,000 --> 00:29:24,240 Speaker 1: I'm old enough to remember Bowie bones, which were great 559 00:29:24,240 --> 00:29:26,320 Speaker 1: for David Bowie but not so great for investors. Why 560 00:29:26,320 --> 00:29:28,200 Speaker 1: are these different now? What do they work now? And 561 00:29:28,320 --> 00:29:29,120 Speaker 1: you know what's the play? 562 00:29:29,840 --> 00:29:32,600 Speaker 3: Yeah, I think I think it's interesting many many people 563 00:29:32,760 --> 00:29:37,239 Speaker 3: have that historical tug to the Bowie bond. You know, 564 00:29:37,280 --> 00:29:39,120 Speaker 3: this ass a class and I'll call it that now 565 00:29:39,160 --> 00:29:41,200 Speaker 3: because that's what it's become, has gone through its ups 566 00:29:41,200 --> 00:29:42,720 Speaker 3: and downs. You know, if we go back to the 567 00:29:42,800 --> 00:29:45,479 Speaker 3: napster days, people left the music industry for debt. They 568 00:29:45,800 --> 00:29:48,560 Speaker 3: didn't think that there would be a music industry. There 569 00:29:48,600 --> 00:29:51,959 Speaker 3: was copyright infringement. How could you possibly get behind something 570 00:29:52,000 --> 00:29:56,320 Speaker 3: that could be exploited without proper rule of law, and 571 00:29:56,360 --> 00:30:00,440 Speaker 3: so really everybody retreated and you had a the cottage 572 00:30:00,480 --> 00:30:04,040 Speaker 3: industry that built up in the early days of the DSPs. 573 00:30:04,120 --> 00:30:08,080 Speaker 3: DSPs are the broader streaming players, so call it Apple Music, Amazon, 574 00:30:08,360 --> 00:30:11,480 Speaker 3: and Spotify. And they started acquiring these rights with the 575 00:30:11,560 --> 00:30:14,320 Speaker 3: view that well, people actually are paying for music again, 576 00:30:14,840 --> 00:30:18,400 Speaker 3: they see value in categorizing it, having it as its fingertips, 577 00:30:18,440 --> 00:30:22,920 Speaker 3: not needing to pirate things, and valuations were cheap, as 578 00:30:22,960 --> 00:30:27,160 Speaker 3: always happens when money runs runs away, and it actually 579 00:30:27,280 --> 00:30:31,200 Speaker 3: started growing into something with liquidity, and I think liquidity 580 00:30:31,240 --> 00:30:33,840 Speaker 3: is always the beginning of an asset class where you 581 00:30:33,840 --> 00:30:36,560 Speaker 3: can actually see two way flow of money in and out. 582 00:30:37,120 --> 00:30:41,640 Speaker 3: What was interesting during that time was the large music labels, 583 00:30:41,640 --> 00:30:45,360 Speaker 3: which really are the three players. Warner Music, Universal and 584 00:30:45,400 --> 00:30:49,000 Speaker 3: Sony were not as active in acquiring these rights. They 585 00:30:49,000 --> 00:30:51,840 Speaker 3: were very focused on the front label business, so breaking 586 00:30:51,880 --> 00:30:56,120 Speaker 3: new artists, developing those artists and promoting them, and they 587 00:30:56,160 --> 00:30:59,760 Speaker 3: had large, substantial publishing arms. So the arms that actually 588 00:30:59,760 --> 00:31:02,720 Speaker 3: own this content, but it wasn't the focus of their business. 589 00:31:02,760 --> 00:31:07,800 Speaker 3: So you saw several smaller players actually grow to meaningful 590 00:31:07,800 --> 00:31:11,880 Speaker 3: players in size and scale quite quickly. The markets came 591 00:31:11,920 --> 00:31:14,440 Speaker 3: around to this being a pretty attractive assea class if 592 00:31:14,440 --> 00:31:17,440 Speaker 3: you have a long duration asset upwards of seventy years 593 00:31:17,440 --> 00:31:20,960 Speaker 3: in many cases, stable cash flows, especially in the in 594 00:31:21,040 --> 00:31:25,240 Speaker 3: the vein of seasoned artists, so somebody like Bob Marley, 595 00:31:26,200 --> 00:31:27,960 Speaker 3: you can look at it almost as a toll road. 596 00:31:27,960 --> 00:31:31,520 Speaker 3: There's a reoccurring revenue associated with it, there's a very 597 00:31:31,560 --> 00:31:33,960 Speaker 3: clear picture of what tomorrow looks like. And then there's 598 00:31:34,000 --> 00:31:37,000 Speaker 3: a value add component where you can take an iconic 599 00:31:37,120 --> 00:31:40,400 Speaker 3: artist and work with the estate or with that individual 600 00:31:40,440 --> 00:31:43,760 Speaker 3: to exploit it, bring that art to new fans, and 601 00:31:43,840 --> 00:31:46,720 Speaker 3: have a really substantial growth rate. That was on top 602 00:31:46,760 --> 00:31:49,760 Speaker 3: of the fact that people were paying more for music, 603 00:31:50,120 --> 00:31:52,920 Speaker 3: so you probably pay quite a lot for a number 604 00:31:52,920 --> 00:31:54,680 Speaker 3: of video subscriptions. 605 00:31:54,040 --> 00:31:55,280 Speaker 1: Actually buy final record. 606 00:31:55,280 --> 00:31:59,200 Speaker 3: It's there you go. So most people, you know, we're 607 00:31:59,240 --> 00:32:02,840 Speaker 3: paying eight ninety nine, nine ninety nine for their streaming service, 608 00:32:02,880 --> 00:32:06,160 Speaker 3: and what we've seen is consistent price increases, which just 609 00:32:06,200 --> 00:32:08,760 Speaker 3: inures to the benefits of rights owners. So when you 610 00:32:08,800 --> 00:32:11,680 Speaker 3: think about checking a box for an assea class, something 611 00:32:11,720 --> 00:32:15,120 Speaker 3: that developed into a liquid market. It's got long duration 612 00:32:15,280 --> 00:32:19,240 Speaker 3: cash flows, it's a scarce asset, meaning there's one of 613 00:32:19,320 --> 00:32:23,080 Speaker 3: each of these artists pricing power in your way, and 614 00:32:23,160 --> 00:32:26,360 Speaker 3: a penetration. When I say penetration, that's the volume growth 615 00:32:26,400 --> 00:32:29,280 Speaker 3: of the industry, meaning more people signing up for Spotify 616 00:32:29,320 --> 00:32:33,040 Speaker 3: and Apple Music every day. That's a pretty great package 617 00:32:33,040 --> 00:32:35,880 Speaker 3: of attributes to support NASSA class. Then I'll tie it 618 00:32:35,920 --> 00:32:39,320 Speaker 3: all the way back together with the deepening of the 619 00:32:39,360 --> 00:32:42,360 Speaker 3: asset back markets in wanting to finance this stuff. So 620 00:32:42,480 --> 00:32:45,480 Speaker 3: if you were an early acquirer of music royalties, an 621 00:32:45,480 --> 00:32:49,760 Speaker 3: asset that started with forty or fifty percent LTV, you know, 622 00:32:49,880 --> 00:32:53,480 Speaker 3: six or seven years ago, now you're seeing securitizations done 623 00:32:53,560 --> 00:32:56,440 Speaker 3: that push into the sixty five, sometimes as high as 624 00:32:56,440 --> 00:33:00,360 Speaker 3: seventy percent LTV. That's just all, you know, or to 625 00:33:00,440 --> 00:33:03,120 Speaker 3: the benefit of the equity owners, the artists that are 626 00:33:03,160 --> 00:33:05,960 Speaker 3: participating in this big ass A class. You know, we're 627 00:33:06,000 --> 00:33:09,680 Speaker 3: talking billions and billions of transaction volume each year, and 628 00:33:09,720 --> 00:33:12,400 Speaker 3: as you'd expect, all of the large players have now 629 00:33:12,440 --> 00:33:15,520 Speaker 3: focused on that. The markets have isolated the value in 630 00:33:15,560 --> 00:33:19,120 Speaker 3: many regards of their businesses around the IP. So these 631 00:33:19,160 --> 00:33:22,640 Speaker 3: are IP content heavy businesses and I think somebody like 632 00:33:22,680 --> 00:33:25,960 Speaker 3: Warner is doing a fantastic job as they look to 633 00:33:26,040 --> 00:33:29,840 Speaker 3: exploit their artists alongside them in a positive manner to 634 00:33:29,880 --> 00:33:32,120 Speaker 3: just grow them at above above market rates. 635 00:33:32,240 --> 00:33:35,080 Speaker 2: It's an interesting corn in the market for sure. Another 636 00:33:35,120 --> 00:33:37,440 Speaker 2: area of the market that seems to be seems to 637 00:33:37,480 --> 00:33:39,120 Speaker 2: be on the tip of Airyba's tongue right now are 638 00:33:39,200 --> 00:33:42,560 Speaker 2: data centers and where we're going to be going there. 639 00:33:42,600 --> 00:33:45,040 Speaker 2: What are your your thoughts on that as being sort 640 00:33:45,080 --> 00:33:46,880 Speaker 2: of an attractive class. 641 00:33:47,720 --> 00:33:50,760 Speaker 3: So I am happy to say we were early in 642 00:33:50,840 --> 00:33:54,320 Speaker 3: data centers. You know, Bain made a very substantial investment 643 00:33:54,360 --> 00:33:59,080 Speaker 3: in the largest pan Asian platform now called Bridge. We've 644 00:33:59,120 --> 00:34:02,600 Speaker 3: sold part of It's been a phenomenal, phenomenal investment for 645 00:34:02,640 --> 00:34:06,680 Speaker 3: the firm over many years. We started a platform in 646 00:34:06,720 --> 00:34:10,400 Speaker 3: Europe about eighteen months ago called h Scale, so really 647 00:34:10,440 --> 00:34:15,359 Speaker 3: partnering with local jurisdictions to bring large, large scale data 648 00:34:15,360 --> 00:34:18,520 Speaker 3: centers to the hyperscale community in Europe. We have not 649 00:34:18,719 --> 00:34:21,080 Speaker 3: done a lot in the US. That was a function 650 00:34:21,120 --> 00:34:23,960 Speaker 3: of just seeing so much money come in not having 651 00:34:24,040 --> 00:34:27,480 Speaker 3: had an established platform there and being somewhat uncomfortable with 652 00:34:27,680 --> 00:34:31,520 Speaker 3: just the supply demand equation that we were seeing. And 653 00:34:31,600 --> 00:34:34,279 Speaker 3: as always, you know, we're contemplated at Bay. We'd like 654 00:34:34,320 --> 00:34:36,960 Speaker 3: to take our time, we sat and we're just willing 655 00:34:37,000 --> 00:34:39,880 Speaker 3: to wait and watch this market a little bit. We 656 00:34:39,920 --> 00:34:44,160 Speaker 3: did make several derivative bets which have been great. One 657 00:34:44,239 --> 00:34:47,960 Speaker 3: in a company called Coherent, which provides the optical cables 658 00:34:48,000 --> 00:34:49,759 Speaker 3: to data centers, so kind of when you get into 659 00:34:49,760 --> 00:34:54,040 Speaker 3: the picks and shovels conversation, that's been a fantastic investment 660 00:34:54,040 --> 00:34:58,040 Speaker 3: for our firm, which we recently just exited. A great business, 661 00:34:58,080 --> 00:35:00,600 Speaker 3: great partnership there, and so we found are ways to 662 00:35:00,600 --> 00:35:03,960 Speaker 3: play it, but but not directly. First derivative in the US. 663 00:35:03,880 --> 00:35:09,319 Speaker 1: So kinds of ig privates everyone is excited about. So 664 00:35:09,320 --> 00:35:11,799 Speaker 1: everyone sees the growth potential there, but a lot of 665 00:35:11,840 --> 00:35:16,960 Speaker 1: the kind of drivers are based on you know, new investors, 666 00:35:17,200 --> 00:35:21,120 Speaker 1: the democratization, and that means retail. Retail is not to 667 00:35:21,160 --> 00:35:23,000 Speaker 1: be happy right now with private credit. Given what we 668 00:35:23,080 --> 00:35:26,600 Speaker 1: discussed at the top of the cool how much of 669 00:35:26,640 --> 00:35:28,640 Speaker 1: this current storm do you think how much is that 670 00:35:29,200 --> 00:35:31,560 Speaker 1: undermining the potential for growth of this market. 671 00:35:32,880 --> 00:35:37,600 Speaker 3: Look, I think this continued democratization of alternative assets is 672 00:35:37,960 --> 00:35:40,799 Speaker 3: going to continue. It is something that should have been 673 00:35:40,840 --> 00:35:45,040 Speaker 3: available to retail and high net worth investors. It wasn't 674 00:35:45,080 --> 00:35:48,200 Speaker 3: easy to access. It was hold into a smaller group 675 00:35:48,280 --> 00:35:52,400 Speaker 3: of ultra high networth investors and you know foundations, sovereigns. 676 00:35:53,040 --> 00:35:55,800 Speaker 3: So I think this was inevitable. I think the returns 677 00:35:55,800 --> 00:35:59,439 Speaker 3: will still prove durable and substantial for people over time. 678 00:35:59,480 --> 00:36:01,920 Speaker 3: Are there going to be hiccups, sure, and so I 679 00:36:01,960 --> 00:36:04,759 Speaker 3: think a lot of this is just about at what 680 00:36:04,880 --> 00:36:07,560 Speaker 3: point in the cycle, at what point of the penetration 681 00:36:07,680 --> 00:36:11,200 Speaker 3: of that market do some of the hiccups hit right earlier, 682 00:36:11,239 --> 00:36:14,480 Speaker 3: which we are somewhat early, and that will be more challenging, 683 00:36:14,520 --> 00:36:16,920 Speaker 3: as if your first experience with something stings you a bit, 684 00:36:17,680 --> 00:36:20,040 Speaker 3: it's it's going to just leave a mark and leave 685 00:36:20,080 --> 00:36:22,600 Speaker 3: you a bit scarred for how you weigh in. But 686 00:36:22,680 --> 00:36:25,680 Speaker 3: I think this market is far too big for anything 687 00:36:25,719 --> 00:36:27,880 Speaker 3: to hold it back, and people will always go to 688 00:36:27,920 --> 00:36:34,040 Speaker 3: where returns are. Private markets offer substantial, substantial returns above 689 00:36:34,200 --> 00:36:36,320 Speaker 3: many of the public as to classes, and so it's 690 00:36:36,360 --> 00:36:40,000 Speaker 3: a proper addition to any asset portfolio mix. 691 00:36:40,160 --> 00:36:42,280 Speaker 1: The fundamental we do have this mismatch. I mean, retail 692 00:36:42,440 --> 00:36:44,920 Speaker 1: doesn't really need the liquidy bit they want it and 693 00:36:45,000 --> 00:36:47,400 Speaker 1: if they suddenly get toll they can't have it, then 694 00:36:47,440 --> 00:36:49,160 Speaker 1: they're going to get freaked out as they as they 695 00:36:49,160 --> 00:36:51,160 Speaker 1: have done over the last few days. So you know, 696 00:36:51,200 --> 00:36:54,880 Speaker 1: you'll take you you really investing in long term loans, 697 00:36:55,000 --> 00:36:57,239 Speaker 1: private loans that don't really trade. You know, you don't 698 00:36:57,239 --> 00:37:01,000 Speaker 1: really get good marks on them. It's hard to really suddenly, 699 00:37:01,239 --> 00:37:04,000 Speaker 1: you know, if there is a demand for redemptions, it's 700 00:37:04,000 --> 00:37:06,239 Speaker 1: a fund that you know, we saw it, well, did 701 00:37:06,280 --> 00:37:09,400 Speaker 1: they sell some loans, they got out, they did, okay, 702 00:37:09,520 --> 00:37:11,560 Speaker 1: But if that happens again and again, you know you're 703 00:37:11,640 --> 00:37:14,319 Speaker 1: selling down to maybe loans that are you know, you 704 00:37:14,360 --> 00:37:15,560 Speaker 1: have to take a bit of a discount on you 705 00:37:15,640 --> 00:37:17,360 Speaker 1: start to take some losses and then it sort of 706 00:37:17,400 --> 00:37:20,440 Speaker 1: spirals from there. What what do you do with that 707 00:37:20,520 --> 00:37:23,840 Speaker 1: concept that that you know, the retail money once they liquidy, 708 00:37:23,880 --> 00:37:25,640 Speaker 1: but this this is a product that's long term and 709 00:37:25,640 --> 00:37:26,120 Speaker 1: looked up. 710 00:37:26,680 --> 00:37:29,440 Speaker 3: Yeah, look, you're you're hitting at the inevitable debate. We 711 00:37:29,520 --> 00:37:32,320 Speaker 3: have it all the time. As we have not rushed 712 00:37:32,320 --> 00:37:35,600 Speaker 3: into this market, it's been one that we've watched carefully. 713 00:37:36,560 --> 00:37:40,480 Speaker 3: We wanted to see how early sparks and some trouble 714 00:37:40,520 --> 00:37:44,359 Speaker 3: would play out. I don't think anybody can really tell 715 00:37:44,360 --> 00:37:46,960 Speaker 3: you how retail behaves once they're told they can't have 716 00:37:47,040 --> 00:37:51,359 Speaker 3: their money back. My belief based on everything I've seen, 717 00:37:51,440 --> 00:37:54,960 Speaker 3: is people will always come back to investment opportunity. Right, 718 00:37:55,040 --> 00:37:58,920 Speaker 3: whether it was high valuations in venture capital and twenty 719 00:37:59,080 --> 00:38:02,840 Speaker 3: twenty one and there shortly thereafter, it's not that nobody's 720 00:38:02,840 --> 00:38:05,399 Speaker 3: coming back to the venture market. People will still will 721 00:38:05,440 --> 00:38:08,160 Speaker 3: still make those make those investments, and things are very 722 00:38:08,280 --> 00:38:11,080 Speaker 3: very cyclical. I think it will chill the growth rate 723 00:38:11,120 --> 00:38:14,120 Speaker 3: a little bit. You will certainly see that step back 724 00:38:14,120 --> 00:38:16,560 Speaker 3: from just a rapid pace we've seen the last twenty 725 00:38:16,560 --> 00:38:20,160 Speaker 3: four months in this space. But again I'll go back 726 00:38:20,160 --> 00:38:22,239 Speaker 3: to my statement, I think it's inevitable that we will 727 00:38:22,280 --> 00:38:25,239 Speaker 3: see further penetration here, and it's just the question of 728 00:38:25,640 --> 00:38:27,719 Speaker 3: at what pace, what fits and starts do you have, 729 00:38:27,800 --> 00:38:31,239 Speaker 3: and really how do many of these institutions manage their 730 00:38:31,360 --> 00:38:34,880 Speaker 3: brand around all of this, Because once you bring something 731 00:38:34,920 --> 00:38:37,880 Speaker 3: like this to retail, a product, whether it's private credit, 732 00:38:37,880 --> 00:38:40,560 Speaker 3: whether it's private equity, real estate, this is now a 733 00:38:40,600 --> 00:38:44,919 Speaker 3: consumer product, right, that's what it's turned into. And there's 734 00:38:44,960 --> 00:38:48,040 Speaker 3: brand awareness, there's people's feelings towards it, there's whether there's 735 00:38:48,120 --> 00:38:51,160 Speaker 3: trust there. It's a very different relationship than when you're 736 00:38:51,200 --> 00:38:55,759 Speaker 3: facing a large sovereign or pension who's sophisticated, who's been 737 00:38:55,800 --> 00:38:59,640 Speaker 3: through the trenches and understands the cyclicality of markets, what 738 00:38:59,680 --> 00:39:03,160 Speaker 3: it means means to see whipsawing prices. That that's just 739 00:39:03,200 --> 00:39:05,319 Speaker 3: a very very different dynamic. So I think a lot 740 00:39:05,360 --> 00:39:08,200 Speaker 3: of it is going to behold into communication. How people 741 00:39:08,239 --> 00:39:11,680 Speaker 3: build that trust, how they handle these hiccups, if you will, 742 00:39:12,520 --> 00:39:15,440 Speaker 3: that really determines the long term winners for that aster class. 743 00:39:15,440 --> 00:39:18,480 Speaker 1: For global investors in the US, to what extent you're 744 00:39:18,480 --> 00:39:21,839 Speaker 1: seeing more of a push to diversify geographically? Is there 745 00:39:22,239 --> 00:39:23,680 Speaker 1: more of a sense that you know, I mean, obviously 746 00:39:23,719 --> 00:39:26,560 Speaker 1: the US is the biggest market, it matters, but there 747 00:39:26,640 --> 00:39:29,200 Speaker 1: is a lot of terminal here. People are getting a 748 00:39:29,200 --> 00:39:33,480 Speaker 1: bit ruffled. There are opportunities in Europe. The European private 749 00:39:33,520 --> 00:39:36,680 Speaker 1: credit people tell us that they are better value in 750 00:39:36,760 --> 00:39:39,760 Speaker 1: relative terms. Do you think that there is a push 751 00:39:39,840 --> 00:39:42,120 Speaker 1: now to you know, broadened geographically. 752 00:39:42,880 --> 00:39:46,760 Speaker 3: Absolutely, and look, this is something that we deeply believe 753 00:39:46,800 --> 00:39:49,200 Speaker 3: in it at BIN. If I just go around the world. 754 00:39:49,280 --> 00:39:52,440 Speaker 3: For instance, we have a mass of franchises I noted 755 00:39:52,440 --> 00:39:55,640 Speaker 3: earlier in Asia across across all of our product as classes. 756 00:39:55,880 --> 00:39:58,400 Speaker 3: Just in our special CIS business alone, we have sixty 757 00:39:58,400 --> 00:40:02,760 Speaker 3: five individuals sitting on a country specific basis, so teams 758 00:40:02,760 --> 00:40:05,680 Speaker 3: from Southeast Asia to Korea, to Australia to Japan. I mean, 759 00:40:05,680 --> 00:40:11,880 Speaker 3: it's a very broad based, deep deep franchise, excellent market 760 00:40:11,880 --> 00:40:15,480 Speaker 3: awareness for what we do. As you also know, it's 761 00:40:15,680 --> 00:40:18,800 Speaker 3: really a two pronged market. It's a control bio market 762 00:40:18,840 --> 00:40:21,440 Speaker 3: and a banked market. There is not a lot of 763 00:40:21,440 --> 00:40:24,920 Speaker 3: private credit in Asia. There's virtually no hybrid capital in Asia, 764 00:40:25,440 --> 00:40:27,880 Speaker 3: and so we see that as just an extremely fruitful 765 00:40:27,880 --> 00:40:31,440 Speaker 3: place for us to work with talented founders public companies 766 00:40:31,480 --> 00:40:34,960 Speaker 3: to do these more structured transactions that achieve an outcome 767 00:40:35,000 --> 00:40:39,200 Speaker 3: for them alongside real operational capabilities. Super deep market for 768 00:40:39,280 --> 00:40:43,200 Speaker 3: us very active in Europe. We have another fifty plus 769 00:40:43,239 --> 00:40:47,680 Speaker 3: person operation specifically within special situations I'm referring to now, 770 00:40:48,080 --> 00:40:50,480 Speaker 3: and we see that market as something that is really 771 00:40:50,520 --> 00:40:53,640 Speaker 3: getting exciting. I know I've heard that many people are 772 00:40:53,680 --> 00:40:57,080 Speaker 3: talking about it, but it is undoubtedly true that the 773 00:40:57,120 --> 00:41:01,560 Speaker 3: market historically lags the US by several years in product innovation, 774 00:41:01,680 --> 00:41:06,160 Speaker 3: and what we're seeing is real demand from corporates, sponsors, 775 00:41:06,280 --> 00:41:09,279 Speaker 3: and family founder led companies for the same type of 776 00:41:09,280 --> 00:41:12,680 Speaker 3: solutions that we had historically deployed in the US and 777 00:41:12,760 --> 00:41:15,359 Speaker 3: in Asia. So when we look at our business today, 778 00:41:15,360 --> 00:41:19,280 Speaker 3: we're extremely happy that it's three pronged, it's equally active 779 00:41:19,400 --> 00:41:22,400 Speaker 3: in all these regions. We've built it as such with 780 00:41:22,640 --> 00:41:25,440 Speaker 3: over now one hundred and seventy five people globally to 781 00:41:25,560 --> 00:41:29,760 Speaker 3: tackle just this with the specific nuances that every country 782 00:41:29,800 --> 00:41:33,920 Speaker 3: and jurisdiction will come with, but we see massive opportunity globally. 783 00:41:34,239 --> 00:41:35,000 Speaker 3: So it sounds like you've. 784 00:41:34,880 --> 00:41:37,680 Speaker 1: Got a lot going on. Where is the best relative value, 785 00:41:37,719 --> 00:41:39,120 Speaker 1: Let's say for the next twelve months. If I had 786 00:41:39,120 --> 00:41:40,720 Speaker 1: a million bucks, I put it in credit. 787 00:41:41,200 --> 00:41:46,120 Speaker 3: Yeah, so relative value is always interesting. I think of 788 00:41:46,280 --> 00:41:49,680 Speaker 3: a portfolio as always wanted to be diversified. We do 789 00:41:49,760 --> 00:41:51,800 Speaker 3: love that our business is as global as I noted, 790 00:41:51,840 --> 00:41:54,040 Speaker 3: and also two pronged, and both the corporate and the 791 00:41:54,080 --> 00:41:56,880 Speaker 3: asset back because like I said, there's always some area 792 00:41:56,960 --> 00:42:00,799 Speaker 3: that is in short supply of capital. Right relative value, 793 00:42:01,160 --> 00:42:03,279 Speaker 3: I'll describe it for you in two ways. Where I 794 00:42:03,320 --> 00:42:07,360 Speaker 3: see the largest depth of opportunity today that is maintained, 795 00:42:07,400 --> 00:42:11,520 Speaker 3: its pricing is in structured corporate opportunities. In the US, 796 00:42:11,760 --> 00:42:14,480 Speaker 3: that market is just booming. Right. We've gone from something 797 00:42:14,520 --> 00:42:17,759 Speaker 3: that was barely an asset class five years ago to 798 00:42:17,920 --> 00:42:22,000 Speaker 3: now a billion dollar transaction being announced almost every month, 799 00:42:22,040 --> 00:42:25,520 Speaker 3: sometimes multiple times a month, with players that aren't even 800 00:42:25,600 --> 00:42:28,360 Speaker 3: really competing against one another. This is just an extremely 801 00:42:28,400 --> 00:42:30,879 Speaker 3: deep market. It's kind of arrived. And when I say 802 00:42:30,880 --> 00:42:35,719 Speaker 3: it's arrived, I mean capital that provides real value added partnership, 803 00:42:35,800 --> 00:42:38,040 Speaker 3: but with all the nuances and bells and whistles of 804 00:42:38,040 --> 00:42:41,680 Speaker 3: a specific bespoke solution to meet the needs of a counterparty. 805 00:42:41,960 --> 00:42:45,200 Speaker 3: So love that opportunity and continue to lean in there. 806 00:42:46,400 --> 00:42:49,400 Speaker 3: We are seeing, though, just as much interesting opportunity in 807 00:42:49,520 --> 00:42:52,040 Speaker 3: some of the mid size stuff we're doing in Asia, 808 00:42:52,200 --> 00:42:55,200 Speaker 3: or some of the stuff we're doing across the sponsor landscape, 809 00:42:55,320 --> 00:42:57,840 Speaker 3: or like we just describe what SMBC in Europe. So 810 00:42:58,400 --> 00:43:01,799 Speaker 3: this is truly a market where we are equally deploying 811 00:43:01,840 --> 00:43:04,480 Speaker 3: across all three regions. That's not always the case, James, 812 00:43:04,480 --> 00:43:06,960 Speaker 3: to your points. Sometimes I'll tell you it's skewed very 813 00:43:07,040 --> 00:43:10,040 Speaker 3: much to Asia or to us when we've looked at 814 00:43:10,080 --> 00:43:12,560 Speaker 3: our deployment the last twenty four months. It's been very 815 00:43:12,640 --> 00:43:15,640 Speaker 3: equally weighted across all those three regions. 816 00:43:15,840 --> 00:43:18,560 Speaker 1: Great stuff. Angelo Rufino with BANKAPSL, thank you so much 817 00:43:18,560 --> 00:43:20,920 Speaker 1: for joining us on the Credit Edge. Thank you, and 818 00:43:20,960 --> 00:43:23,759 Speaker 1: of course very grateful to David Havens with Bloomberg Intelligence. 819 00:43:23,880 --> 00:43:26,320 Speaker 2: Cheers, cheers, great being with you both. 820 00:43:26,320 --> 00:43:28,560 Speaker 1: And for more credit market analysis and insight read all 821 00:43:28,600 --> 00:43:31,520 Speaker 1: of David Haven's great work on the terminal. Bloomberg Intelligence 822 00:43:31,600 --> 00:43:33,840 Speaker 1: is part of our research department, with five hundred analysts 823 00:43:33,880 --> 00:43:37,359 Speaker 1: and strategists working across all markets. Coverage includes over two 824 00:43:37,360 --> 00:43:40,560 Speaker 1: thousand equities and credits and outlooks on more than ninety 825 00:43:40,560 --> 00:43:44,520 Speaker 1: industries and one hundred market industries, currencies and commodities. Please 826 00:43:44,560 --> 00:43:47,239 Speaker 1: do subscribe to the Credit Edge wherever you get your podcasts. 827 00:43:47,280 --> 00:43:50,600 Speaker 1: We're on Apple, Spotify and all other good podcast providers, 828 00:43:50,600 --> 00:43:53,680 Speaker 1: including the Bloomberg Terminal at b pod Go. Give us 829 00:43:53,719 --> 00:43:56,719 Speaker 1: a review, tell your friends, or email me directly at 830 00:43:56,800 --> 00:44:00,080 Speaker 1: jcromby eight at Bloomberg dot net. I'm James crom but 831 00:44:00,160 --> 00:44:02,200 Speaker 1: it's been a pleasure having you join us again next 832 00:44:02,239 --> 00:44:03,520 Speaker 1: week on the Credit Edge