1 00:00:18,120 --> 00:00:20,640 Speaker 1: Hello, Welcome to the Credit Edge, a weekly markets podcast. 2 00:00:20,720 --> 00:00:23,800 Speaker 1: My name is James Crombie. I'm a senior editor at Bloomberg. 3 00:00:23,480 --> 00:00:26,000 Speaker 2: And i am Ruder Backman, chief structured finance strategist at 4 00:00:26,000 --> 00:00:29,720 Speaker 2: Bloomberg Intelligence. This week, we are very pleased to welcome 5 00:00:29,760 --> 00:00:33,240 Speaker 2: Tom Moyevsky, a founder of Eagle Point Credit, their fourteen 6 00:00:33,240 --> 00:00:36,360 Speaker 2: billion dollar pride credit manager. How are you, Tom? 7 00:00:36,400 --> 00:00:37,479 Speaker 3: Doing very well? Thank you. 8 00:00:37,840 --> 00:00:40,559 Speaker 2: Tom set up Eagle Point in twenty twelve, turning it 9 00:00:40,600 --> 00:00:43,600 Speaker 2: into one of the world's largest coo Ikady investors. The 10 00:00:43,680 --> 00:00:47,400 Speaker 2: film has also explained to special definance, significant brisk transfers, 11 00:00:47,400 --> 00:00:50,159 Speaker 2: and infrastructure credit, as well as other opportunities. 12 00:00:50,400 --> 00:00:54,160 Speaker 1: So lots to discuss there. Let's start with software. You 13 00:00:54,240 --> 00:00:57,040 Speaker 1: buy loans to software companies. That sector is under a 14 00:00:57,080 --> 00:00:59,320 Speaker 1: lot of pressure. The fear is that a lot of 15 00:00:59,320 --> 00:01:02,400 Speaker 1: the businesses will be replaced by AI and that the 16 00:01:02,440 --> 00:01:06,240 Speaker 1: assets underlying the debt are actually worthless. Loan prices fell 17 00:01:06,280 --> 00:01:07,560 Speaker 1: a lot at the start of the year as the 18 00:01:07,600 --> 00:01:10,280 Speaker 1: AI story really took off. They've recovered a little bit, 19 00:01:10,600 --> 00:01:12,600 Speaker 1: but the debt market still seems to be telling us 20 00:01:12,600 --> 00:01:15,319 Speaker 1: that there's a big problem. Where do we go from here? 21 00:01:16,520 --> 00:01:20,720 Speaker 3: The concerns are fair, the timing may be subject to question. 22 00:01:21,040 --> 00:01:24,080 Speaker 3: In my opinion, I'll draw an analogy back to a 23 00:01:24,080 --> 00:01:27,880 Speaker 3: little ipo I think in nineteen ninety seven Amazon dot Com. 24 00:01:28,000 --> 00:01:30,560 Speaker 3: It's all worked out for them. Today you could read 25 00:01:30,640 --> 00:01:34,199 Speaker 3: on Bloomberg probably every day six months after that IPO 26 00:01:34,280 --> 00:01:36,000 Speaker 3: of the death of retail. I'm sure there was some 27 00:01:36,040 --> 00:01:39,240 Speaker 3: story or something that talked about how retail was over. 28 00:01:40,160 --> 00:01:45,479 Speaker 3: And indeed Amazon's just their retail revenue was over two 29 00:01:45,560 --> 00:01:49,320 Speaker 3: hundred billion dollars last year, a lot of money. It 30 00:01:49,440 --> 00:01:53,280 Speaker 3: fundamentally changed retail, but it didn't end it. And if 31 00:01:53,320 --> 00:01:57,280 Speaker 3: you look across many CMBs transactions, the lowest vacancy rate 32 00:01:57,360 --> 00:02:01,240 Speaker 3: is actually in the retail sector compared to US industrial 33 00:02:01,320 --> 00:02:04,640 Speaker 3: or other things like that. That's from twenty nine years ago. 34 00:02:04,920 --> 00:02:08,800 Speaker 3: Just to kind of put in context another significant shift 35 00:02:08,960 --> 00:02:12,920 Speaker 3: in an ecosystem. Bring forward today to the rollout of 36 00:02:13,000 --> 00:02:17,240 Speaker 3: AI for businesses like ours. Unfortunately, AI is still an 37 00:02:17,240 --> 00:02:20,239 Speaker 3: additional cost. We're hopeful it'll be a savings over time, 38 00:02:20,280 --> 00:02:22,160 Speaker 3: and that's what we're telling ourselves as we spend a 39 00:02:22,200 --> 00:02:24,480 Speaker 3: lot of money and we see checks going out to 40 00:02:24,560 --> 00:02:28,359 Speaker 3: all these different AI providers. When we think about software 41 00:02:29,240 --> 00:02:33,560 Speaker 3: and its potential obsolescence or software as we knew it 42 00:02:33,639 --> 00:02:38,959 Speaker 3: proverbially yesterday. I think answers very based on quite a 43 00:02:39,040 --> 00:02:43,239 Speaker 3: number of things. First, how essential is the software picture 44 00:02:43,240 --> 00:02:46,960 Speaker 3: a company like American Airlines, They're probably not going to 45 00:02:47,000 --> 00:02:51,000 Speaker 3: have a clawed app replace their central reservation system. I'll 46 00:02:51,000 --> 00:02:52,920 Speaker 3: go so far as to say there's probably some green 47 00:02:52,960 --> 00:02:56,760 Speaker 3: screens somewhere still involved in their reservation system. On the 48 00:02:56,800 --> 00:03:00,360 Speaker 3: other hand, a company like us, in our vacation tracking tool, 49 00:03:01,200 --> 00:03:03,720 Speaker 3: should we have a little clawed app that can gin 50 00:03:03,840 --> 00:03:04,760 Speaker 3: that up very quickly? 51 00:03:05,200 --> 00:03:05,480 Speaker 2: Yes? 52 00:03:06,520 --> 00:03:09,480 Speaker 3: Our order management and portfolio management system. Is that going 53 00:03:09,520 --> 00:03:11,800 Speaker 3: to be replaced by some sort of AI developed app 54 00:03:11,840 --> 00:03:16,080 Speaker 3: anytime soon? Probably not. That's the DNA of the lungs 55 00:03:16,120 --> 00:03:18,880 Speaker 3: and heart and nervous system of our company. So when 56 00:03:18,880 --> 00:03:22,360 Speaker 3: you look at the impact of AI, both on software 57 00:03:23,160 --> 00:03:27,560 Speaker 3: and more broadly, you have to think of the essentialness 58 00:03:27,680 --> 00:03:30,839 Speaker 3: of that software, that legacy software tool and I'm sorry 59 00:03:30,880 --> 00:03:33,720 Speaker 3: to use the word legacy to describe most software those 60 00:03:33,840 --> 00:03:39,320 Speaker 3: designed proverbally yesterday. How important is it? How critical is 61 00:03:39,360 --> 00:03:42,360 Speaker 3: it to a business? Every company wants to save money, 62 00:03:42,560 --> 00:03:45,200 Speaker 3: Every company wants to use AI to do better. Whether 63 00:03:45,240 --> 00:03:49,680 Speaker 3: you're in the software business or otherwise. I think the 64 00:03:49,720 --> 00:03:54,080 Speaker 3: market has the trend right the direction, but in my 65 00:03:54,200 --> 00:03:57,920 Speaker 3: experience the slope is far less steep in the beginning years, 66 00:03:58,440 --> 00:04:01,840 Speaker 3: but may ultimately be more severe even than people are predicting. 67 00:04:02,200 --> 00:04:06,640 Speaker 3: But I think of that as worst case five potentially 68 00:04:06,680 --> 00:04:09,880 Speaker 3: fifteen years out in the future. To frame it in 69 00:04:09,920 --> 00:04:13,080 Speaker 3: the I guess I joined a large bank in two thousand, 70 00:04:13,720 --> 00:04:16,280 Speaker 3: you still had to apply to get an email account. 71 00:04:16,800 --> 00:04:20,480 Speaker 3: Unthinkable today, but back you know, that was twenty five 72 00:04:20,520 --> 00:04:23,360 Speaker 3: years ago. Those were still things that we were getting 73 00:04:23,440 --> 00:04:26,480 Speaker 3: rolled out, even though email had widely been around. So 74 00:04:26,520 --> 00:04:30,520 Speaker 3: when we look when we're looking at any software credit 75 00:04:30,640 --> 00:04:34,359 Speaker 3: or any credit, frankly, one of the things is impact. 76 00:04:34,480 --> 00:04:38,040 Speaker 3: Assessing the potential impact of AI. I think it's real. 77 00:04:38,320 --> 00:04:41,080 Speaker 3: I think it will happen, but I do not think 78 00:04:41,120 --> 00:04:42,200 Speaker 3: it happens overnight. 79 00:04:42,800 --> 00:04:44,240 Speaker 1: So what does that mean for the loans? So for 80 00:04:44,279 --> 00:04:49,760 Speaker 1: those who don't know, you know, duration, the maturity schedule 81 00:04:49,800 --> 00:04:51,919 Speaker 1: of a lot of these things. You know, why is 82 00:04:52,000 --> 00:04:54,599 Speaker 1: the length of time important in this context? 83 00:04:54,960 --> 00:04:58,080 Speaker 3: Sure so, most syndicated loans and even private credit loans 84 00:04:58,120 --> 00:05:01,160 Speaker 3: typically have maturities six seven, eight years. We can move 85 00:05:01,200 --> 00:05:04,520 Speaker 3: around a little bit from there that said, I don't 86 00:05:04,520 --> 00:05:07,640 Speaker 3: remember the last loan that paid off at maturity, and 87 00:05:07,720 --> 00:05:10,040 Speaker 3: that very few companies want to have their long term 88 00:05:10,040 --> 00:05:12,360 Speaker 3: debt move to the current portion of their balance sheet. 89 00:05:12,560 --> 00:05:15,960 Speaker 3: I'm sure it's happened once or twice, but typically you'd 90 00:05:16,000 --> 00:05:19,480 Speaker 3: expect to see a syndicated or private credit loan refinance 91 00:05:19,600 --> 00:05:23,440 Speaker 3: sometime between two and four years after it's originated. And 92 00:05:23,520 --> 00:05:27,160 Speaker 3: what that means is quite a few companies that our 93 00:05:27,600 --> 00:05:31,280 Speaker 3: borrowers are debtors at the market today probably have one 94 00:05:31,279 --> 00:05:34,200 Speaker 3: more bite at the apple to refinance before they face 95 00:05:34,360 --> 00:05:36,600 Speaker 3: a real problem. That's not one hundred percent the rule, 96 00:05:36,600 --> 00:05:39,640 Speaker 3: but I think it's significantly the case. One of the 97 00:05:39,680 --> 00:05:42,360 Speaker 3: things we like in the market, and we've certainly you know, 98 00:05:42,520 --> 00:05:45,560 Speaker 3: you've talked about and others others here have written about 99 00:05:45,920 --> 00:05:49,159 Speaker 3: the give or take two trillion dollars private credit market, 100 00:05:49,920 --> 00:05:52,279 Speaker 3: and for a while there were some articles getting written. 101 00:05:52,360 --> 00:05:55,960 Speaker 3: Is the private credit market eating the syndicated market's lunch? 102 00:05:56,080 --> 00:05:59,400 Speaker 3: And for listeners, the syndicated credit market is going to 103 00:05:59,440 --> 00:06:02,200 Speaker 3: be larger companies. This is going to be Hilton Hotels, 104 00:06:02,360 --> 00:06:06,839 Speaker 3: Dell computer companies of that size and scale. Private credit 105 00:06:07,000 --> 00:06:09,800 Speaker 3: typically smaller, but not always and there were a number 106 00:06:09,800 --> 00:06:11,760 Speaker 3: of companies maybe a year or two ago that were 107 00:06:11,760 --> 00:06:14,880 Speaker 3: in the syndicated market that refinanced their debt into the 108 00:06:14,920 --> 00:06:18,200 Speaker 3: private credit market. In many cases they paid, greed to 109 00:06:18,200 --> 00:06:22,720 Speaker 3: pay a higher spread over base rates. And why did 110 00:06:22,720 --> 00:06:27,120 Speaker 3: they do that. Their revenues or EBADA had fallen twenty 111 00:06:27,120 --> 00:06:30,560 Speaker 3: to thirty percent. They needed to be more levered. There 112 00:06:30,600 --> 00:06:34,400 Speaker 3: were aggressive firms, maybe even vultures, buying up their debt 113 00:06:34,400 --> 00:06:37,680 Speaker 3: in the syndicated market, and they just wanted to get 114 00:06:37,720 --> 00:06:39,680 Speaker 3: to a spot where they could work things out privately 115 00:06:40,440 --> 00:06:43,240 Speaker 3: with two or three lenders who would hopefully be more understanding, 116 00:06:43,920 --> 00:06:46,640 Speaker 3: but they'd have to pay them more. At the same time, 117 00:06:46,760 --> 00:06:50,479 Speaker 3: as companies do better, private credit companies all want to 118 00:06:50,560 --> 00:06:53,279 Speaker 3: graduate to the syndicated market because your cost of debt 119 00:06:53,320 --> 00:06:55,919 Speaker 3: is lower. If private credits five hundred or six hundred 120 00:06:55,960 --> 00:06:59,960 Speaker 3: over syndicated credits in action directionally three hundred bases points over. 121 00:07:00,200 --> 00:07:01,960 Speaker 3: There's no one in the world who wouldn't like lower 122 00:07:02,000 --> 00:07:05,080 Speaker 3: debt costs. So what we see is, even if it's 123 00:07:05,120 --> 00:07:08,919 Speaker 3: a large cap company that might be facing some AI headwinds, 124 00:07:09,600 --> 00:07:11,920 Speaker 3: I see the potential for the private credit market to 125 00:07:12,000 --> 00:07:15,280 Speaker 3: refinance them out and other companies will probably achieve some 126 00:07:15,320 --> 00:07:18,040 Speaker 3: significant cost savings and might be able to move from 127 00:07:18,080 --> 00:07:21,880 Speaker 3: private credit up to the syndicated credit market. That companies 128 00:07:21,960 --> 00:07:24,360 Speaker 3: have a couple of years of runway on their debt. 129 00:07:24,640 --> 00:07:26,640 Speaker 3: We look across and we publish this and are on 130 00:07:26,680 --> 00:07:29,040 Speaker 3: our website of all the loans we have exposure to 131 00:07:29,680 --> 00:07:33,640 Speaker 3: in our syndicated programs, I'm going to say less than 132 00:07:33,640 --> 00:07:36,120 Speaker 3: two or three percent mature in the next eighteen months. 133 00:07:36,360 --> 00:07:38,840 Speaker 3: So companies in general have a good bit of runway 134 00:07:38,840 --> 00:07:41,160 Speaker 3: on their debt. They might not like the terms they 135 00:07:41,240 --> 00:07:43,880 Speaker 3: have to refinance that, but in general, I believe there'll 136 00:07:43,880 --> 00:07:46,160 Speaker 3: be a market for most, if not all companies to 137 00:07:46,200 --> 00:07:47,280 Speaker 3: continue refinancwer. 138 00:07:47,600 --> 00:07:50,080 Speaker 1: So it's a company that's kind of in long term declimb, 139 00:07:50,080 --> 00:07:51,960 Speaker 1: but short term there's an opportunity on the debt. 140 00:07:52,480 --> 00:07:55,200 Speaker 2: Yes, yeah, what are you describing with your exposures. That's 141 00:07:55,200 --> 00:07:58,600 Speaker 2: actually very common across CROs. You do find that when 142 00:07:58,600 --> 00:08:01,160 Speaker 2: you look at klatropool and you track it over time, 143 00:08:01,800 --> 00:08:04,480 Speaker 2: the maturity is the new maturities. They'll always disappear from 144 00:08:04,480 --> 00:08:08,440 Speaker 2: the pools several years, sometimes ahead of the time before 145 00:08:08,440 --> 00:08:11,360 Speaker 2: they actually come due. So there's sort of their wave 146 00:08:11,600 --> 00:08:14,840 Speaker 2: of maturities in the collateral pool that moves forward in 147 00:08:14,880 --> 00:08:17,520 Speaker 2: time as we move forward in times, so we never 148 00:08:17,560 --> 00:08:20,000 Speaker 2: actually get to the point where we have a wall 149 00:08:20,040 --> 00:08:23,760 Speaker 2: of maturities hitting the CLO market all at the same 150 00:08:23,800 --> 00:08:28,320 Speaker 2: time in the collateral pools. I think the difficulty with 151 00:08:29,400 --> 00:08:33,080 Speaker 2: the AI exposure of SAS companies is that AI is 152 00:08:33,160 --> 00:08:35,320 Speaker 2: fairly new, so I think a lot of people are 153 00:08:35,320 --> 00:08:40,000 Speaker 2: trying to figure out what exactly the scenario is that 154 00:08:40,040 --> 00:08:44,640 Speaker 2: will play out, and different people have different concerns in mind. 155 00:08:44,760 --> 00:08:47,160 Speaker 2: I mean, some people have the concern or have the 156 00:08:47,200 --> 00:08:50,320 Speaker 2: concern that the pricing models that the SaaS companies are 157 00:08:50,400 --> 00:08:53,560 Speaker 2: using it's no longer going to work because currently their 158 00:08:53,679 --> 00:08:56,959 Speaker 2: pricing proceed and if you have an AI like a 159 00:08:57,440 --> 00:09:02,120 Speaker 2: cloud Cowork, then you might have far fewer employees as 160 00:09:02,120 --> 00:09:04,840 Speaker 2: a result of fewer seats, and so for the SaaS companies, 161 00:09:04,880 --> 00:09:07,080 Speaker 2: the seat pricing is so long ago going to work. 162 00:09:07,679 --> 00:09:10,679 Speaker 2: Other companies then, or other investors have the concern that 163 00:09:11,559 --> 00:09:14,640 Speaker 2: we may see a situation where people who currently buy 164 00:09:14,720 --> 00:09:17,280 Speaker 2: software will just build it internally, which you alluded to before, 165 00:09:17,320 --> 00:09:20,920 Speaker 2: which might happen for smaller applications. Another concern is that 166 00:09:21,840 --> 00:09:24,720 Speaker 2: it might actually be very easy and cheap and quick, 167 00:09:25,280 --> 00:09:30,280 Speaker 2: using AI to replicate some of the largest SaaS companies offerings, 168 00:09:31,000 --> 00:09:34,480 Speaker 2: and that in turn would result in an increased competition 169 00:09:35,160 --> 00:09:38,600 Speaker 2: that in turn would put pressure on margins as SaaS companies. 170 00:09:39,600 --> 00:09:42,800 Speaker 2: So there's a variety of concerns and it's difficult to 171 00:09:42,840 --> 00:09:45,440 Speaker 2: figure out what exactly this scenario is going to be 172 00:09:45,559 --> 00:09:47,599 Speaker 2: that will end up in I think it's difficult to 173 00:09:47,640 --> 00:09:51,160 Speaker 2: make a great assessment as earlier as now because the 174 00:09:51,200 --> 00:09:53,280 Speaker 2: field that's just so wide open with AI, because it's 175 00:09:53,320 --> 00:09:56,360 Speaker 2: so new, and because the improvements in in AI are 176 00:09:56,400 --> 00:09:57,079 Speaker 2: so fast. 177 00:09:57,520 --> 00:10:00,720 Speaker 3: I think what you're saying is fair direction. I agree 178 00:10:00,760 --> 00:10:04,840 Speaker 3: with the sentiments you've shared. That maturity wallpoint is actually 179 00:10:05,000 --> 00:10:08,040 Speaker 3: very very true. If you look at our public filings 180 00:10:08,080 --> 00:10:11,240 Speaker 3: over the last ten years, the maturity wall chart basically 181 00:10:11,280 --> 00:10:13,280 Speaker 3: looks the same every single year. We just changed the 182 00:10:13,360 --> 00:10:17,200 Speaker 3: dates one year. I'm sure we actually recalculated, but we 183 00:10:17,320 --> 00:10:22,160 Speaker 3: probably don't have to and could convey the same message broadly. Though, 184 00:10:22,280 --> 00:10:25,160 Speaker 3: what you're talking about is in line with what I'm 185 00:10:25,200 --> 00:10:29,840 Speaker 3: talking about of we need a little more time to 186 00:10:29,920 --> 00:10:32,520 Speaker 3: see the real impact of this. We know there will 187 00:10:32,559 --> 00:10:35,040 Speaker 3: be an impact. I actually think it will be more 188 00:10:35,120 --> 00:10:39,200 Speaker 3: severe than maybe many of the naysayer say. However, I 189 00:10:39,240 --> 00:10:43,040 Speaker 3: think it will be later. The pace of innovation or 190 00:10:43,080 --> 00:10:47,800 Speaker 3: the implementation of innovation just takes longer. I saw a 191 00:10:47,840 --> 00:10:49,960 Speaker 3: stat recently, and I don't remember the source, but it 192 00:10:50,000 --> 00:10:51,839 Speaker 3: was it was something on the lines of seventy percent 193 00:10:51,840 --> 00:10:55,520 Speaker 3: of Fortune five hundred companies still use mainframes for calculations. 194 00:10:56,320 --> 00:10:58,840 Speaker 3: I'm not in data and operations. I'm sure they're not 195 00:10:58,920 --> 00:11:01,199 Speaker 3: using punch cards and real to real tapes that you 196 00:11:01,280 --> 00:11:04,160 Speaker 3: might have seen in a nineteen sixties James Bond movie 197 00:11:04,240 --> 00:11:08,400 Speaker 3: or something like that. But that's still technology that's used, 198 00:11:08,400 --> 00:11:10,640 Speaker 3: and certainly there's more efficient ways to do things. And 199 00:11:10,800 --> 00:11:14,000 Speaker 3: you know, probably my iPhone has more computing power than 200 00:11:14,160 --> 00:11:17,319 Speaker 3: mainframes did ten or twenty years ago. So I agree 201 00:11:17,360 --> 00:11:20,920 Speaker 3: with the sentiment you're sharing. I think we have a 202 00:11:21,080 --> 00:11:24,640 Speaker 3: longer runway than the market predicts. It doesn't mean it's 203 00:11:24,640 --> 00:11:27,679 Speaker 3: smooth sailing for the next few years, but it's also 204 00:11:27,800 --> 00:11:30,680 Speaker 3: not armageddon. One of the other things we've seen in 205 00:11:30,720 --> 00:11:35,480 Speaker 3: AI or the AI threat coming around a one particular 206 00:11:35,520 --> 00:11:38,559 Speaker 3: loan an insurance broker called Alliant, which is principally a 207 00:11:38,600 --> 00:11:42,680 Speaker 3: high net worth of property and casualty insurance broker. Back 208 00:11:42,720 --> 00:11:45,960 Speaker 3: in January February of this year, there was an article 209 00:11:46,000 --> 00:11:49,679 Speaker 3: went around or some chatter in the market that AI 210 00:11:49,840 --> 00:11:51,520 Speaker 3: is going to cost them their business, and the loan 211 00:11:51,559 --> 00:11:54,360 Speaker 3: traded down three points and you know, in a very 212 00:11:54,360 --> 00:11:56,960 Speaker 3: short period of time it rebounded those in three points 213 00:11:56,960 --> 00:11:59,520 Speaker 3: and probably a very similar period of time, and it 214 00:11:59,559 --> 00:12:00,840 Speaker 3: was a missing opportunity. 215 00:12:00,840 --> 00:12:05,240 Speaker 2: Frankly, I want to come at this point. I think 216 00:12:05,280 --> 00:12:08,280 Speaker 2: you have sort of alluded to it already twice, which 217 00:12:08,320 --> 00:12:11,560 Speaker 2: is not so much a fundamental point which we addressed before, 218 00:12:11,600 --> 00:12:15,439 Speaker 2: but the sentiment important, and one concern I would have 219 00:12:15,600 --> 00:12:17,800 Speaker 2: is that we are in a situation where, because it's 220 00:12:17,800 --> 00:12:23,440 Speaker 2: so uncertain what will happen, these companies will post decent 221 00:12:23,480 --> 00:12:27,640 Speaker 2: results fundamentally the current contracts are currently have, they're still running, 222 00:12:28,280 --> 00:12:32,480 Speaker 2: the financials will look fine, but a lot of investors 223 00:12:32,520 --> 00:12:36,360 Speaker 2: will start to worry that in future they will not 224 00:12:36,400 --> 00:12:38,720 Speaker 2: be fine, and at that point it will become very 225 00:12:38,760 --> 00:12:44,000 Speaker 2: difficult for them to refinance make during that. So you 226 00:12:44,040 --> 00:12:45,920 Speaker 2: sort of alluded to that before when you said, well, 227 00:12:46,040 --> 00:12:47,880 Speaker 2: you know, some of these companies may have to get 228 00:12:47,880 --> 00:12:51,360 Speaker 2: refinanced from a different investor base than from their current 229 00:12:51,400 --> 00:12:55,000 Speaker 2: investor base. But this crazy situation where we might end 230 00:12:55,080 --> 00:12:58,280 Speaker 2: up in a with a self fulfilling prophecy. Yes, currently 231 00:12:58,280 --> 00:13:00,760 Speaker 2: things look fine. Yes, eventually thinks might go wrong, be 232 00:13:00,800 --> 00:13:03,800 Speaker 2: not sure, but that will take time, but the impact 233 00:13:04,240 --> 00:13:08,000 Speaker 2: on the businesses will materialize earlier simply through the funding market, 234 00:13:08,559 --> 00:13:11,720 Speaker 2: and we may have the self fulfilling prophecy where the 235 00:13:11,760 --> 00:13:16,320 Speaker 2: current investor base says, well, I think these businesses could 236 00:13:16,320 --> 00:13:18,840 Speaker 2: too poorly. I think all the other investors that I 237 00:13:18,920 --> 00:13:22,960 Speaker 2: know in my market think the same thing. So I'm 238 00:13:23,000 --> 00:13:26,840 Speaker 2: not going to refinance this company because I'm afraid no 239 00:13:26,880 --> 00:13:29,160 Speaker 2: one else I know will do and tends the company 240 00:13:29,200 --> 00:13:32,560 Speaker 2: will go bust, even though different fundamentals currently still look good. 241 00:13:33,600 --> 00:13:36,960 Speaker 2: And then comes the question of can the company actually 242 00:13:37,000 --> 00:13:39,760 Speaker 2: find someone else to fund them? 243 00:13:40,200 --> 00:13:43,120 Speaker 3: And some non AI examples of that. There was a 244 00:13:43,160 --> 00:13:47,080 Speaker 3: company in the syndicated loan market called Outer Wall which owned, 245 00:13:47,120 --> 00:13:50,960 Speaker 3: among other things, red Box, which were in supermarket DVD rentals, 246 00:13:51,160 --> 00:13:53,720 Speaker 3: which was in the state of the art twenty years 247 00:13:53,720 --> 00:13:59,800 Speaker 3: ago I'm now laughable, but multiple times, even in their decline, 248 00:13:59,800 --> 00:14:03,000 Speaker 3: they able to refinance another company, am General, that makes 249 00:14:03,080 --> 00:14:07,720 Speaker 3: hummers for the military and maybe even the commercial ones. 250 00:14:07,760 --> 00:14:11,520 Speaker 3: I forget similar thing of trend very much in the 251 00:14:11,520 --> 00:14:15,199 Speaker 3: wrong direction, but able to continue to access the capital 252 00:14:15,240 --> 00:14:17,640 Speaker 3: markets as long as they have some degree of revenue 253 00:14:17,640 --> 00:14:21,840 Speaker 3: and EBITDA. That said, there will be a day of 254 00:14:21,880 --> 00:14:26,240 Speaker 3: reckoning for any of these declining companies. But the mitigant 255 00:14:26,400 --> 00:14:31,040 Speaker 3: that we see is time is your friend as a lender, 256 00:14:32,040 --> 00:14:34,000 Speaker 3: even if they have to take their SOFUR plus three 257 00:14:34,080 --> 00:14:36,720 Speaker 3: hundred loan and refinance at private credit at SOFA plus 258 00:14:36,760 --> 00:14:40,160 Speaker 3: six hundred and then three years later refinance it into 259 00:14:40,160 --> 00:14:43,280 Speaker 3: a distress lender at SOFA plus eight hundred. If it's 260 00:14:43,320 --> 00:14:46,840 Speaker 3: that or default, you're going to you know, you're going 261 00:14:46,880 --> 00:14:49,480 Speaker 3: to pay up on the debt versus lose all your equity. 262 00:14:50,120 --> 00:14:56,000 Speaker 3: So it's it's maybe even analogous to real estate when 263 00:14:56,400 --> 00:14:59,400 Speaker 3: you interest rates moved up, many would have called that 264 00:14:59,440 --> 00:15:01,880 Speaker 3: a slow moving train wreck. You know, if you have 265 00:15:01,920 --> 00:15:04,000 Speaker 3: a three percent mortgage and all of a sudden, you know, 266 00:15:04,080 --> 00:15:06,280 Speaker 3: mortgages are now seven percent and you own a you know, 267 00:15:06,560 --> 00:15:11,880 Speaker 3: not so fancy office building in midtown, you're fine until 268 00:15:11,920 --> 00:15:15,440 Speaker 3: you get to your maturity date on your loan. And 269 00:15:15,480 --> 00:15:18,760 Speaker 3: we could see you know, similar things like that. Not necessarily, 270 00:15:18,760 --> 00:15:20,120 Speaker 3: that's the corporate owners are going to get to the 271 00:15:20,200 --> 00:15:23,600 Speaker 3: maturity date, but it will take a long It will 272 00:15:23,600 --> 00:15:27,040 Speaker 3: take multiple years for all of this to flesh out. 273 00:15:27,240 --> 00:15:29,400 Speaker 3: And what we're seeing in the credit markets, both the 274 00:15:29,400 --> 00:15:32,280 Speaker 3: CLO market and actually the BBC market where we're a 275 00:15:32,400 --> 00:15:35,080 Speaker 3: very large investor in the private credit market in terms 276 00:15:35,120 --> 00:15:38,760 Speaker 3: of fun financing, we're seeing the baby thrown out with 277 00:15:38,800 --> 00:15:42,160 Speaker 3: the bathwater, by and large when we look at this, 278 00:15:42,920 --> 00:15:46,160 Speaker 3: and we have, in addition to our COLO equity position, 279 00:15:46,200 --> 00:15:47,920 Speaker 3: and we believe we're one of the largest holders of 280 00:15:47,960 --> 00:15:50,760 Speaker 3: COLO equity in the world, which gives us insight into 281 00:15:50,840 --> 00:15:53,480 Speaker 3: thousands of different credits all around the world, both in 282 00:15:53,520 --> 00:15:56,800 Speaker 3: the US and Europe. We're also, we believe, one of 283 00:15:56,840 --> 00:15:59,600 Speaker 3: the largest at eagle point one of the largest non 284 00:15:59,760 --> 00:16:05,920 Speaker 3: bank financiers of BDCs and private credit funds. And this 285 00:16:05,960 --> 00:16:08,640 Speaker 3: is a strategy we set up six or seven years ago. 286 00:16:08,680 --> 00:16:12,600 Speaker 3: We actually call it our defensive income strategy. And the 287 00:16:12,600 --> 00:16:17,560 Speaker 3: genesis of it, we were talking about bubbles and private 288 00:16:17,600 --> 00:16:21,560 Speaker 3: credit long before the headlines were getting written, back when 289 00:16:21,600 --> 00:16:23,960 Speaker 3: private credit was a one trillion dollar market. Now it's 290 00:16:24,000 --> 00:16:27,280 Speaker 3: a two or three trillion depending on who's counting, but 291 00:16:27,360 --> 00:16:30,880 Speaker 3: lots and lots of money what's going on here and 292 00:16:30,960 --> 00:16:33,960 Speaker 3: what we saw. If memory serves from like twenty fifteen 293 00:16:34,000 --> 00:16:36,240 Speaker 3: to twenty nineteen, a period when there weren't a lot 294 00:16:36,280 --> 00:16:42,480 Speaker 3: of credit losses, BDC debt outperformed BDC equity. I might 295 00:16:42,520 --> 00:16:44,600 Speaker 3: be slightly off on my date on that, but directionally, 296 00:16:45,120 --> 00:16:47,240 Speaker 3: even if it's the same, if you're the creditor and 297 00:16:47,280 --> 00:16:49,720 Speaker 3: you're making the same as the shareholder, obviously you're taking 298 00:16:49,760 --> 00:16:53,000 Speaker 3: less risk as the creditor. And we started looking at this, 299 00:16:53,040 --> 00:16:56,840 Speaker 3: and we started looking at the BDC market, which is issued. 300 00:16:56,880 --> 00:16:59,960 Speaker 3: They are forty AC companies that make a special BDC election, 301 00:17:00,080 --> 00:17:03,640 Speaker 3: and that law became available to BDC's I believe in 302 00:17:03,720 --> 00:17:09,440 Speaker 3: nineteen eighty, so we're forty six years in. While lots 303 00:17:09,480 --> 00:17:12,280 Speaker 3: of BDC's, we've talked about them a little bit, the 304 00:17:12,320 --> 00:17:16,040 Speaker 3: public ones, many if not most, are trading at a 305 00:17:16,080 --> 00:17:18,960 Speaker 3: non trivial discount to nab the share price on the 306 00:17:19,040 --> 00:17:22,000 Speaker 3: exchange less than what the books and records say the 307 00:17:22,359 --> 00:17:26,560 Speaker 3: value of the equity is. On one hand, many non 308 00:17:26,640 --> 00:17:30,679 Speaker 3: traded BDC's probably I had my the Bloomberg terminals not 309 00:17:30,720 --> 00:17:32,760 Speaker 3: open right here, but I'm sure there's a headline about 310 00:17:32,760 --> 00:17:35,120 Speaker 3: some fund that had more than five percent redemptions come 311 00:17:35,160 --> 00:17:38,439 Speaker 3: in this quarter of a non traded BDC, both of 312 00:17:38,480 --> 00:17:43,119 Speaker 3: those facing significant headwinds. BDCs that had historically traded at 313 00:17:43,119 --> 00:17:47,359 Speaker 3: a premium now trading at a discount. Across the forty 314 00:17:47,400 --> 00:17:49,680 Speaker 3: six years since the BDC laws have been in place, 315 00:17:49,840 --> 00:17:51,560 Speaker 3: to the best of our knowledge, there have been two 316 00:17:51,600 --> 00:17:56,560 Speaker 3: defaults ever by BDCs, Allied and ACASS and both of 317 00:17:56,560 --> 00:18:00,320 Speaker 3: those were one hundred cent recovery to the creditor, even 318 00:18:00,359 --> 00:18:04,080 Speaker 3: the shareholder's got some leftover value. And so when we 319 00:18:04,200 --> 00:18:07,520 Speaker 3: look at what's going on in private credit, the thing 320 00:18:07,600 --> 00:18:11,520 Speaker 3: that's made BDC's work is something called the asset coverage ratio. 321 00:18:11,760 --> 00:18:13,880 Speaker 3: In our opinion, has been the number one thing, which 322 00:18:13,960 --> 00:18:16,960 Speaker 3: simply it's there's three different tests. Under the forty Act 323 00:18:17,040 --> 00:18:21,320 Speaker 3: one percent asset coverage. BDCs are subject to the one 324 00:18:21,359 --> 00:18:23,960 Speaker 3: to fifty rule, which means there need to be for 325 00:18:24,000 --> 00:18:26,960 Speaker 3: every dollar of debt one hundred and fifty dollars of 326 00:18:27,040 --> 00:18:30,760 Speaker 3: assets supporting it. If they were to fail that test, 327 00:18:31,040 --> 00:18:35,040 Speaker 3: the consequences are severe, but not game over. And this 328 00:18:35,160 --> 00:18:37,919 Speaker 3: is very important as well. If you fail your asset 329 00:18:37,920 --> 00:18:41,320 Speaker 3: coverage ratio, you can't declare any more dividends and for 330 00:18:41,400 --> 00:18:44,280 Speaker 3: people in the tender offer funds or the non traded funds. 331 00:18:45,359 --> 00:18:48,120 Speaker 3: No more. Forget about getting capped at five percent redemptions. 332 00:18:48,160 --> 00:18:50,679 Speaker 3: The redemptions go to zero if you're failing the asset 333 00:18:50,680 --> 00:18:53,800 Speaker 3: coverage ratio because they're not allowed to redeem capital below 334 00:18:53,840 --> 00:18:57,119 Speaker 3: that ratio. And when we look across what we're seeing 335 00:18:57,119 --> 00:19:00,199 Speaker 3: in all the different BDCs, and then we've taken that 336 00:19:00,280 --> 00:19:02,399 Speaker 3: same technology, which I think is some of the most 337 00:19:02,400 --> 00:19:08,199 Speaker 3: elegant financial regulation ever written, We've applied that to GPLP funds, 338 00:19:08,240 --> 00:19:10,720 Speaker 3: which we think is the vast majority of the private 339 00:19:10,760 --> 00:19:15,600 Speaker 3: credit market. Well XYZ non traded BDC gets the headline. 340 00:19:16,400 --> 00:19:19,320 Speaker 3: We think the traded and non traded BDC universe is 341 00:19:19,480 --> 00:19:24,760 Speaker 3: probably twenty thirty percent in BDC format or the private 342 00:19:24,760 --> 00:19:27,920 Speaker 3: credit markets twenty to thirty percent BDC format, which suggests 343 00:19:27,960 --> 00:19:32,600 Speaker 3: seventy to eighty percent in GPLP format. And when we 344 00:19:32,640 --> 00:19:35,000 Speaker 3: look across that, what we've begun doing, and we started 345 00:19:35,000 --> 00:19:38,120 Speaker 3: this six years ago and it's actually our largest business segment. 346 00:19:38,880 --> 00:19:41,320 Speaker 3: We took the forty Act rules of the asset coverage 347 00:19:41,359 --> 00:19:45,640 Speaker 3: ratio and started providing long term financing to GPLP funds. 348 00:19:46,200 --> 00:19:48,760 Speaker 3: And what it gives us, in addition to a very 349 00:19:48,760 --> 00:19:52,680 Speaker 3: good return on our investments, it gives us insight into 350 00:19:53,200 --> 00:19:57,679 Speaker 3: hundreds and thousands of private credit loans as well. In 351 00:19:57,720 --> 00:20:00,480 Speaker 3: many cases, we see the financials on the underlying borrowers, 352 00:20:00,560 --> 00:20:05,320 Speaker 3: We see the trends and their businesses, and indeed, you know, 353 00:20:05,640 --> 00:20:08,520 Speaker 3: i'd say software companies are probably the most at risk 354 00:20:08,640 --> 00:20:12,320 Speaker 3: across that universe. At the same time, well, I think 355 00:20:12,400 --> 00:20:15,320 Speaker 3: my company were probably. AI is still in the cost 356 00:20:15,400 --> 00:20:18,800 Speaker 3: center category. We hope it becomes a savings category. There's 357 00:20:18,800 --> 00:20:21,840 Speaker 3: other companies perhaps where AI is already helping them save 358 00:20:21,920 --> 00:20:25,040 Speaker 3: money and reduce staff and do things more efficient money. 359 00:20:25,720 --> 00:20:29,159 Speaker 3: So invariably because of AI and its prevalence and the 360 00:20:29,240 --> 00:20:32,320 Speaker 3: technology is truly amazing. And I know one one thousandth 361 00:20:32,560 --> 00:20:34,600 Speaker 3: one one thousandth of a percent of what we can 362 00:20:34,640 --> 00:20:36,760 Speaker 3: actually do with AI. I'm sure my team knows more. 363 00:20:39,520 --> 00:20:42,760 Speaker 3: That will hurt some, but it'll actually help others and 364 00:20:43,160 --> 00:20:46,720 Speaker 3: lower costs and lower prices and increase profits for many businesses. 365 00:20:46,800 --> 00:20:50,959 Speaker 1: So it comes always back to the software point, and 366 00:20:51,000 --> 00:20:52,840 Speaker 1: to kind of circle out to something that Reto said, 367 00:20:52,880 --> 00:20:56,760 Speaker 1: I mean, you know, there is this kind of uncertainty 368 00:20:56,840 --> 00:20:58,760 Speaker 1: no one really knows so you know, you could be 369 00:20:58,760 --> 00:21:02,119 Speaker 1: wrong about some of your assumptions. What stops the companies, 370 00:21:02,280 --> 00:21:06,600 Speaker 1: you know, they face an existential risk? What stops them 371 00:21:06,640 --> 00:21:09,120 Speaker 1: doing something desperate? You know, they don't pay you back, 372 00:21:09,160 --> 00:21:12,560 Speaker 1: they just go off and try and save themselves instead. 373 00:21:13,080 --> 00:21:15,480 Speaker 1: You know, is that not something you see as a scenario. 374 00:21:15,760 --> 00:21:18,400 Speaker 3: Well, thankfully we do have contract law in the United States, 375 00:21:18,880 --> 00:21:22,639 Speaker 3: so their ability just to renounce their debt. One or 376 00:21:22,640 --> 00:21:25,359 Speaker 3: two companies have tried that over my career. A company 377 00:21:25,359 --> 00:21:28,520 Speaker 3: a long time ago laid law my recollection tried to 378 00:21:28,520 --> 00:21:31,320 Speaker 3: say this was not valid indebtedness to the syndicated market. 379 00:21:31,320 --> 00:21:35,000 Speaker 3: That didn't work out for them, But in general, companies 380 00:21:35,040 --> 00:21:39,560 Speaker 3: have to pay. However, what's another trend in the loan 381 00:21:39,640 --> 00:21:42,080 Speaker 3: market the default rate? If you were to look up 382 00:21:42,119 --> 00:21:45,560 Speaker 3: on any of the major publishers corporate loan default rate, 383 00:21:45,560 --> 00:21:47,680 Speaker 3: you'd probably saye, it's around one percent right now for 384 00:21:47,800 --> 00:21:52,320 Speaker 3: below investment great credit, well below the long term average. Frankly, wow, 385 00:21:52,359 --> 00:21:56,159 Speaker 3: that sounds great. What could possibly be going wrong? The 386 00:21:56,240 --> 00:21:58,720 Speaker 3: little secret of the market, and you've covered it once 387 00:21:58,840 --> 00:22:01,720 Speaker 3: or twice on this podcast fairly recently, is what i'll 388 00:22:01,760 --> 00:22:06,879 Speaker 3: call lender on lender violence or liability management exercises or 389 00:22:07,160 --> 00:22:10,960 Speaker 3: out of court restructurings might be the least salacious way 390 00:22:11,000 --> 00:22:12,680 Speaker 3: to put it, but it really is a lender on 391 00:22:12,800 --> 00:22:17,280 Speaker 3: lender of violence and something that's crept certainly well into 392 00:22:17,280 --> 00:22:20,000 Speaker 3: the syndicated loan market and even somewhat into the private 393 00:22:20,040 --> 00:22:24,679 Speaker 3: credit market. Are provisions that say fifty one percent of 394 00:22:24,720 --> 00:22:30,439 Speaker 3: the lenders can pretty much agree to anything. That's a 395 00:22:30,440 --> 00:22:34,440 Speaker 3: pretty good that's a very very powerful provision, and over 396 00:22:34,480 --> 00:22:39,000 Speaker 3: the last eighteen months or so, we've seen well over 397 00:22:39,080 --> 00:22:42,840 Speaker 3: one hundred liability management exercises or out of court restructurings 398 00:22:42,840 --> 00:22:47,159 Speaker 3: of companies that we're facing. The problems that you're facing. 399 00:22:47,080 --> 00:22:49,280 Speaker 1: The CLO trade generally, we've had a lot of people 400 00:22:49,280 --> 00:22:53,639 Speaker 1: talk about it as a big opportunity, but there is 401 00:22:54,040 --> 00:22:58,840 Speaker 1: a fear about the underlying loans in terms of defaults. 402 00:22:59,280 --> 00:23:01,680 Speaker 1: As the US phonomy maybe gets more challenged in the 403 00:23:01,720 --> 00:23:06,119 Speaker 1: second half, the rates maybe they go higher. That puts companies, 404 00:23:06,560 --> 00:23:08,960 Speaker 1: you know, at risk maybe not being able to pay back, 405 00:23:10,280 --> 00:23:14,160 Speaker 1: but also the risky trunche that you're in. I mean, 406 00:23:14,160 --> 00:23:18,000 Speaker 1: that seems to be the most exposed. We've just had 407 00:23:18,040 --> 00:23:21,239 Speaker 1: a default in Europe, part of European CLO managed by 408 00:23:21,280 --> 00:23:24,760 Speaker 1: Bain failed to repay investors in full. That's the first 409 00:23:25,080 --> 00:23:27,119 Speaker 1: such defaults since an overhaul of the market more than 410 00:23:27,160 --> 00:23:29,520 Speaker 1: a decade ago. Is this a sign of things to come? 411 00:23:31,160 --> 00:23:33,720 Speaker 3: There's always outliers. And even if you look back to 412 00:23:33,760 --> 00:23:37,199 Speaker 3: the CLO one point zero era, ninety six percent of 413 00:23:37,280 --> 00:23:41,480 Speaker 3: clos had a positive return to the equity class and 414 00:23:41,520 --> 00:23:43,920 Speaker 3: the media and IRR was well in excess of the 415 00:23:43,960 --> 00:23:46,919 Speaker 3: base case that was marketed. Frankly in the mid two thousands, 416 00:23:47,760 --> 00:23:51,040 Speaker 3: there are two principal risks that we think of as 417 00:23:51,080 --> 00:23:56,240 Speaker 3: a CLO equity investor. Oddly, defaults is the second of them. 418 00:23:56,560 --> 00:23:59,360 Speaker 3: The first one is what we saw a lot of 419 00:23:59,440 --> 00:24:03,240 Speaker 3: in twenty two twenty five. A research report that I 420 00:24:03,240 --> 00:24:07,360 Speaker 3: saw by Nomura suggested that COLO Equity had a negative 421 00:24:07,400 --> 00:24:12,240 Speaker 3: fifteen percent total return last year. That's one person's judgmental opinion, 422 00:24:12,440 --> 00:24:16,840 Speaker 3: probably directionally accurate. It was less to do with defaults 423 00:24:16,920 --> 00:24:19,600 Speaker 3: and more to do with the bull market and credit 424 00:24:19,680 --> 00:24:23,879 Speaker 3: and spread compression. And what that means is that the 425 00:24:24,200 --> 00:24:28,399 Speaker 3: spreads on loans were getting repriced tighter and tighter and tighter. Alone, 426 00:24:28,400 --> 00:24:31,160 Speaker 3: that was three seventy five over got repriced to three 427 00:24:31,240 --> 00:24:34,760 Speaker 3: twenty five and across many of the colos we've invested in, 428 00:24:34,880 --> 00:24:38,440 Speaker 3: we saw the spreads come down significantly on the assets, 429 00:24:38,920 --> 00:24:41,040 Speaker 3: so now we have less money coming into the system. 430 00:24:41,720 --> 00:24:44,399 Speaker 3: Things we can do as a majority equity investor are 431 00:24:44,520 --> 00:24:50,480 Speaker 3: proactively resetting and refinancing the right side of our liability 432 00:24:50,480 --> 00:24:54,040 Speaker 3: of the COLO balance, directing refis and resets, and I'm 433 00:24:54,040 --> 00:24:55,480 Speaker 3: going to go so far, sos Had, I don't believe 434 00:24:55,480 --> 00:24:58,520 Speaker 3: anyone's done more than us in the last year in 435 00:24:58,520 --> 00:25:00,680 Speaker 3: that space, and where we have such a larg portfolio, 436 00:25:00,720 --> 00:25:03,440 Speaker 3: there's always something to do. There's not enough banks to 437 00:25:03,480 --> 00:25:06,480 Speaker 3: get one typically what we want to do. That said, 438 00:25:06,680 --> 00:25:10,840 Speaker 3: the spread tightening on the COLO debt side was nowhere 439 00:25:10,880 --> 00:25:14,320 Speaker 3: near as much as on the asset side, and so you, 440 00:25:14,840 --> 00:25:18,280 Speaker 3: despite our best efforts, the NIM or the difference between 441 00:25:18,320 --> 00:25:22,240 Speaker 3: the spread and the assets and liabilities just fell significantly 442 00:25:22,359 --> 00:25:25,760 Speaker 3: last year. While there were some credit problems, oddly the 443 00:25:25,800 --> 00:25:29,720 Speaker 3: bigger issue was bull market and repricing of loans, and 444 00:25:29,720 --> 00:25:33,320 Speaker 3: no one really asked us that when we're talking to investors, well, 445 00:25:33,320 --> 00:25:36,119 Speaker 3: what if loans rally hard? Is not a question we 446 00:25:36,240 --> 00:25:39,080 Speaker 3: often get. But when we look at what's gone wrong 447 00:25:39,200 --> 00:25:43,080 Speaker 3: with colos, typically that's been the biggest thing the flip side. 448 00:25:43,119 --> 00:25:44,840 Speaker 3: When we look at the faults. Let's say we have 449 00:25:44,880 --> 00:25:47,520 Speaker 3: a ten percent de fault rate over the next twelve months. 450 00:25:47,560 --> 00:25:50,480 Speaker 3: Not a prediction from me by any stretch, but it's 451 00:25:50,480 --> 00:25:53,560 Speaker 3: always a possibility. If we were to have ten percent 452 00:25:53,600 --> 00:25:57,520 Speaker 3: of faults, James, where would you think loans are trading it? 453 00:25:57,560 --> 00:26:00,679 Speaker 1: Does the index? Yes, probably below ninety. 454 00:26:01,119 --> 00:26:03,760 Speaker 3: Certainly greater than more than a ten percent discount would 455 00:26:03,760 --> 00:26:06,560 Speaker 3: be my expectation. I'd probably put it somewhere in the 456 00:26:06,600 --> 00:26:10,080 Speaker 3: seventy to eighty context to frame it. During COVID, when 457 00:26:10,080 --> 00:26:12,399 Speaker 3: we had five six percent of faults, the loan index 458 00:26:12,400 --> 00:26:15,720 Speaker 3: fell to eighty, and when we saw in the financial 459 00:26:15,720 --> 00:26:18,440 Speaker 3: crisis ten to eleven percent of faults, loans actually fell 460 00:26:18,480 --> 00:26:22,280 Speaker 3: to as low as sixty, give or take on the index. Importantly, 461 00:26:22,320 --> 00:26:24,919 Speaker 3: every loan that doesn't default pays off at par. Just 462 00:26:24,920 --> 00:26:27,399 Speaker 3: because the index is at sixty of ten percent default, 463 00:26:27,480 --> 00:26:30,280 Speaker 3: that means all the others paid off at one hundred. 464 00:26:31,400 --> 00:26:34,120 Speaker 3: Colos typically do the best, and I look at our 465 00:26:34,200 --> 00:26:38,920 Speaker 3: performance across our different portfolios. We do the best when 466 00:26:38,920 --> 00:26:43,600 Speaker 3: there's actually periods of high default because in my opinion, 467 00:26:43,720 --> 00:26:47,439 Speaker 3: in my experience. Price volatility in the loan market is 468 00:26:47,520 --> 00:26:49,640 Speaker 3: always greater than actual credit expense. 469 00:26:49,760 --> 00:26:52,960 Speaker 2: So it's true a course various credit astic classes that 470 00:26:52,960 --> 00:26:56,840 Speaker 2: the spreads are there low at the moment, and that 471 00:26:56,920 --> 00:27:01,199 Speaker 2: brings me to a number of questions around turns. So 472 00:27:01,960 --> 00:27:04,800 Speaker 2: one thing that comes up in that context is the 473 00:27:04,880 --> 00:27:08,320 Speaker 2: value of the call option that the that the equity has. 474 00:27:08,840 --> 00:27:11,200 Speaker 2: And of course now we've spread so low, and having 475 00:27:11,920 --> 00:27:15,560 Speaker 2: having been low or as low as maybe two years ago, 476 00:27:16,760 --> 00:27:18,800 Speaker 2: it seems to me like the value of the call 477 00:27:18,840 --> 00:27:21,640 Speaker 2: option is is reduced in terms of what it can 478 00:27:21,720 --> 00:27:26,199 Speaker 2: offer the equity, and so maybe the equity returns that 479 00:27:26,280 --> 00:27:31,560 Speaker 2: we can expect the lowered to that extent. So before 480 00:27:31,560 --> 00:27:34,560 Speaker 2: you comment on that, one thing I've come across again 481 00:27:34,560 --> 00:27:38,280 Speaker 2: and again is that investors who look at colo equity 482 00:27:38,280 --> 00:27:42,080 Speaker 2: investments people haven't done that kind of investment before. They 483 00:27:42,080 --> 00:27:45,520 Speaker 2: actually find it very difficult to find reliable data on 484 00:27:45,600 --> 00:27:49,600 Speaker 2: what the historical performance of equity investments has actually been. 485 00:27:50,920 --> 00:27:55,560 Speaker 2: And I think it might actually be help for the 486 00:27:55,720 --> 00:28:00,600 Speaker 2: entire asset class if that data was more wide available, 487 00:28:00,600 --> 00:28:02,439 Speaker 2: but at the moment it seems to me it's mostly 488 00:28:02,480 --> 00:28:07,080 Speaker 2: private data not very available, and maybe that even keeps 489 00:28:07,119 --> 00:28:10,040 Speaker 2: people who have a long history in equity investments, uh 490 00:28:10,160 --> 00:28:14,000 Speaker 2: a leg up. So so I guess the first point 491 00:28:14,040 --> 00:28:16,760 Speaker 2: was more about what's the current situation in terms of 492 00:28:17,680 --> 00:28:21,040 Speaker 2: expected returns in equity and the second point was more 493 00:28:22,040 --> 00:28:26,159 Speaker 2: how can we back up claims about the value of 494 00:28:26,200 --> 00:28:27,600 Speaker 2: equity investments more generally? 495 00:28:28,040 --> 00:28:30,320 Speaker 3: Well, James could have seen me smiling when he said 496 00:28:30,760 --> 00:28:36,679 Speaker 3: that information about equity values is not broadly available. It's available, 497 00:28:37,280 --> 00:28:39,959 Speaker 3: but you have to have largely created it yourself as 498 00:28:40,080 --> 00:28:43,520 Speaker 3: a general rule to just complete on that second point. 499 00:28:46,200 --> 00:28:50,880 Speaker 3: So the data does exist, it's not published. There's not 500 00:28:51,200 --> 00:28:54,080 Speaker 3: much in the way of a CLO equity index. You know, 501 00:28:54,120 --> 00:28:57,200 Speaker 3: there's a number of bags have debt in that indices, 502 00:28:57,240 --> 00:28:59,840 Speaker 3: but I can't point to a published CLO equity And 503 00:29:01,040 --> 00:29:05,240 Speaker 3: that said, a number of large banks publish annual or 504 00:29:05,240 --> 00:29:09,720 Speaker 3: semi annual total return numbers for the COLO equity asset class. 505 00:29:10,280 --> 00:29:14,560 Speaker 3: And we've strung together some degree of i'll call it 506 00:29:14,640 --> 00:29:18,240 Speaker 3: simulated index. We'll take as many credible data sources as 507 00:29:18,240 --> 00:29:20,880 Speaker 3: we can and average them. And sometimes the numbers are 508 00:29:20,920 --> 00:29:22,480 Speaker 3: all over the place. You know, one guy might say 509 00:29:22,480 --> 00:29:25,320 Speaker 3: the market's up ten, the other says up fifteen. Okay, 510 00:29:25,360 --> 00:29:26,840 Speaker 3: we'll take the average of the two and say twelve 511 00:29:26,880 --> 00:29:32,120 Speaker 3: and a half, and it's directionally accurate, we believe, and 512 00:29:32,240 --> 00:29:34,040 Speaker 3: I share with you. Last year in Amuro said the 513 00:29:34,040 --> 00:29:38,400 Speaker 3: market was down fifteen percent, which feels directionally pretty accurate 514 00:29:38,440 --> 00:29:42,440 Speaker 3: as well. So there are some published pieces of information, 515 00:29:42,920 --> 00:29:45,120 Speaker 3: there's not specifics. 516 00:29:45,440 --> 00:29:48,000 Speaker 1: So what could you make this year on CLO equity? 517 00:29:48,240 --> 00:29:49,680 Speaker 1: What would the return forecast be? 518 00:29:50,240 --> 00:29:52,720 Speaker 3: Banks have put out some stats for the first half 519 00:29:52,760 --> 00:29:56,440 Speaker 3: that were also non trivially negative, this time a little 520 00:29:56,480 --> 00:30:00,880 Speaker 3: more due to credit volve than to spread compression. Where 521 00:30:00,920 --> 00:30:04,880 Speaker 3: we sit going forward, I'm a little more optimistic in 522 00:30:04,960 --> 00:30:08,840 Speaker 3: that I think we've seen the significant bulk of the 523 00:30:08,840 --> 00:30:13,000 Speaker 3: spread compression play out, and I think we're seeing more 524 00:30:13,080 --> 00:30:19,720 Speaker 3: discipline behavior on issuance in our account. In twenty twenty five, 525 00:30:20,080 --> 00:30:24,480 Speaker 3: the significant majority of the COLO market of new issue 526 00:30:24,520 --> 00:30:28,800 Speaker 3: clos was sponsored by captive or controlled capital by the 527 00:30:28,840 --> 00:30:31,800 Speaker 3: collateral manager, which we think of as generally analogous to 528 00:30:31,920 --> 00:30:35,920 Speaker 3: unsponsored private equity. We're giving management the keys to the kingdom. 529 00:30:37,000 --> 00:30:39,600 Speaker 3: Very few new colos last year were purchased by third 530 00:30:39,640 --> 00:30:42,280 Speaker 3: party equity investors. We're seeing a little bit of an 531 00:30:42,360 --> 00:30:45,280 Speaker 3: uptick in that I think that might increase in the 532 00:30:45,320 --> 00:30:48,440 Speaker 3: second half of the year. So the things that have 533 00:30:48,600 --> 00:30:53,960 Speaker 3: gone wrong last year, spread compression largely abated. It always 534 00:30:54,000 --> 00:30:59,840 Speaker 3: reappear and reappear very quickly. And credit expense. I think 535 00:31:00,040 --> 00:31:03,360 Speaker 3: we saw price declines and loans which adversely impact the 536 00:31:03,360 --> 00:31:06,720 Speaker 3: price of COLO equity, but we haven't seen. While we 537 00:31:06,720 --> 00:31:09,800 Speaker 3: did talk about l ees and modifications and things like that, 538 00:31:10,720 --> 00:31:14,080 Speaker 3: the credit losses going to the things that were said 539 00:31:14,080 --> 00:31:16,760 Speaker 3: earlier in this call haven't been that The realized losses 540 00:31:16,760 --> 00:31:19,480 Speaker 3: haven't been that significant. So it could be a very 541 00:31:19,480 --> 00:31:22,880 Speaker 3: interesting time to get into the market, probably more on 542 00:31:22,960 --> 00:31:27,000 Speaker 3: the secondary side or buying into an existing portfolio than 543 00:31:27,040 --> 00:31:29,080 Speaker 3: saying let's go out and create a bunch of new ones. Today. 544 00:31:29,920 --> 00:31:33,080 Speaker 3: That said, there's always something interesting to be done in 545 00:31:33,120 --> 00:31:33,960 Speaker 3: the market, but. 546 00:31:34,000 --> 00:31:36,560 Speaker 1: It could be another negative year for an equity on the. 547 00:31:36,520 --> 00:31:39,000 Speaker 3: Clos where we stand right now, it's certainly possible. 548 00:31:39,160 --> 00:31:42,360 Speaker 1: Okay, So it doesn't sound so good in terms of 549 00:31:42,400 --> 00:31:44,480 Speaker 1: the BDC's which he talked about. You know, you lend 550 00:31:44,480 --> 00:31:48,320 Speaker 1: to BDCs, you also lend to other private funds gps 551 00:31:48,360 --> 00:31:52,000 Speaker 1: and LPs. I'm interested in your view into that world 552 00:31:52,080 --> 00:31:54,400 Speaker 1: because you know, we get a lot of very negative 553 00:31:55,520 --> 00:31:58,760 Speaker 1: views about private credit, about the sky is falling about 554 00:31:58,800 --> 00:32:00,800 Speaker 1: you know, the reckoning coming about the end of the 555 00:32:00,840 --> 00:32:02,680 Speaker 1: Golden Age, all of that stuff. You've heard it. But 556 00:32:03,160 --> 00:32:05,960 Speaker 1: since you have the visibility, how worried should we be 557 00:32:06,000 --> 00:32:07,760 Speaker 1: about Bdcason about private credit? 558 00:32:07,800 --> 00:32:11,520 Speaker 3: More generally, it's not as bad as the pace of 559 00:32:11,640 --> 00:32:15,680 Speaker 3: headlines suggest in my opinion, when we look at what's 560 00:32:15,720 --> 00:32:19,360 Speaker 3: going on with the underlying portfolio companies of many private 561 00:32:19,360 --> 00:32:23,680 Speaker 3: credit funds, not all. In general, revenue is growing in 562 00:32:23,720 --> 00:32:27,720 Speaker 3: many cases, IBIDA is flat to growing, which is good. 563 00:32:28,760 --> 00:32:32,880 Speaker 3: There might not be hitting plan a fair number of cases, 564 00:32:33,400 --> 00:32:37,320 Speaker 3: but it's not as if we're seeing ten other than 565 00:32:37,400 --> 00:32:41,280 Speaker 3: isolated incidences. We're not seeing ten twenty thirty percent revenue 566 00:32:41,280 --> 00:32:46,680 Speaker 3: declines across companies that are in these portfolios. One of 567 00:32:46,680 --> 00:32:51,560 Speaker 3: the things that frustrates me, and it's gotten attention, and 568 00:32:51,640 --> 00:32:55,160 Speaker 3: I certainly knew a lot of press on the terminal 569 00:32:55,160 --> 00:32:58,200 Speaker 3: and from others. Loans that are marked at one hundred, 570 00:32:58,240 --> 00:33:00,840 Speaker 3: one hundred, one hundred and one hundred and thirty. Yeah, 571 00:33:01,040 --> 00:33:04,800 Speaker 3: that's not supposed to happen, right, you know, absent some 572 00:33:04,960 --> 00:33:08,240 Speaker 3: terrible shock event happening to that company in that quarter. 573 00:33:09,920 --> 00:33:13,160 Speaker 3: One of the things that that frustrates I think quite 574 00:33:13,160 --> 00:33:14,960 Speaker 3: a few people is a little bit of the lack 575 00:33:15,000 --> 00:33:20,640 Speaker 3: of the lack of transparency the opacity in private credit pricing. 576 00:33:21,600 --> 00:33:24,120 Speaker 3: Some research analysts have looked across and said, you know, 577 00:33:24,160 --> 00:33:26,600 Speaker 3: BDC one holds this loan, they've got a marked at 578 00:33:26,640 --> 00:33:29,160 Speaker 3: ninety eight, b DC two holds it at ninety five. 579 00:33:30,360 --> 00:33:33,960 Speaker 3: Things like that, Well, ideally they'd be the same. These 580 00:33:33,960 --> 00:33:37,160 Speaker 3: are level two in level three assets within a few points. 581 00:33:37,200 --> 00:33:40,920 Speaker 3: I think that's a tolerable band. What would be more alarming, 582 00:33:40,960 --> 00:33:43,160 Speaker 3: And there were a few instances like this in the past. 583 00:33:43,320 --> 00:33:45,120 Speaker 3: One guy's got it marked at sixty and the other 584 00:33:45,160 --> 00:33:48,160 Speaker 3: guys got it marked at one hundred. That's clearly the 585 00:33:48,160 --> 00:33:51,960 Speaker 3: wrong answer between two identical instruments. But when we look 586 00:33:52,080 --> 00:33:57,320 Speaker 3: through the things that are bad for credit ultimately are 587 00:33:57,480 --> 00:34:00,920 Speaker 3: drops in revenue and EBITDA. At the end of the day, 588 00:34:01,000 --> 00:34:05,200 Speaker 3: if your EBITA and revenue are growing, it's probably going 589 00:34:05,280 --> 00:34:08,200 Speaker 3: to work out for a company, And by and large 590 00:34:08,200 --> 00:34:11,719 Speaker 3: we're seeing that even in the private credit world, not exclusively, 591 00:34:12,160 --> 00:34:16,400 Speaker 3: but that's not the exception to have that happen. And 592 00:34:16,440 --> 00:34:21,640 Speaker 3: so when we think about BBC stock in general, vast 593 00:34:21,719 --> 00:34:24,959 Speaker 3: majority are trading at discounts to book. There's a couple 594 00:34:24,960 --> 00:34:28,040 Speaker 3: of things going on there. There's the perception of future 595 00:34:28,080 --> 00:34:31,600 Speaker 3: credit losses coming, which I think is a fair perception 596 00:34:31,680 --> 00:34:33,839 Speaker 3: that's probably overpriced in the market. 597 00:34:33,880 --> 00:34:36,239 Speaker 2: I wanted to ask about a third product that you 598 00:34:36,760 --> 00:34:39,080 Speaker 2: seem to be involved in, which is the significant risk 599 00:34:39,120 --> 00:34:43,160 Speaker 2: transfer transactions that has grown over the past few years, 600 00:34:43,520 --> 00:34:48,480 Speaker 2: and I'm wondering how you started to enter that market. 601 00:34:48,600 --> 00:34:51,000 Speaker 2: Was it that you mostly looked at as at transactions 602 00:34:51,440 --> 00:34:55,840 Speaker 2: that are set up as a synthetic secusations? Was that 603 00:34:56,000 --> 00:34:58,879 Speaker 2: the entered point that it became interested in this as 604 00:34:58,920 --> 00:35:01,240 Speaker 2: a media security should optoty. 605 00:35:01,360 --> 00:35:05,000 Speaker 3: So we call them regulatory capital relief. In my opinion, 606 00:35:05,000 --> 00:35:08,759 Speaker 3: that sounds a lot better than significant risk transfer. Yeah, 607 00:35:08,800 --> 00:35:12,480 Speaker 3: who wants to be transferred a significant amount of risks? Indeed, 608 00:35:13,000 --> 00:35:15,120 Speaker 3: and I think it used to be synthetic risk transfer, 609 00:35:15,200 --> 00:35:18,560 Speaker 3: but somehow it changed to significant maybe to appease some regulators. 610 00:35:19,640 --> 00:35:21,560 Speaker 3: But regardless of what we call it, I'm going to 611 00:35:21,600 --> 00:35:27,600 Speaker 3: call it regulatory capital relief for this purpose. We got 612 00:35:27,600 --> 00:35:29,840 Speaker 3: into the market i'm going to say about five years ago, 613 00:35:31,120 --> 00:35:34,400 Speaker 3: and we were intrigued by it in a number of ways. 614 00:35:35,560 --> 00:35:41,320 Speaker 3: The asset pools underlying these regulatory capital transactions that bank issue, 615 00:35:41,360 --> 00:35:43,600 Speaker 3: and the purpose of them is for banks to keep 616 00:35:43,600 --> 00:35:46,200 Speaker 3: owning the loan but get a reduced capital charge or 617 00:35:46,239 --> 00:35:50,560 Speaker 3: substantially eliminate their capital charge from holding assets whilest serving 618 00:35:50,600 --> 00:35:54,799 Speaker 3: the customers being the face to their customers. And it's 619 00:35:54,920 --> 00:36:00,000 Speaker 3: basically a just in time tool for banks to raise capital. 620 00:36:01,040 --> 00:36:03,480 Speaker 3: And we have a team of people focused on this market, 621 00:36:03,520 --> 00:36:05,200 Speaker 3: and I joke with them they could take the first 622 00:36:05,239 --> 00:36:08,200 Speaker 3: forty five days of the quarter off and then work 623 00:36:08,280 --> 00:36:10,760 Speaker 3: NonStop the second forty five days at the quarter because 624 00:36:10,800 --> 00:36:14,080 Speaker 3: typically these issuances closed the dare you know, September twenty 625 00:36:14,120 --> 00:36:17,480 Speaker 3: eighth will be a busy day in the regulatory capital 626 00:36:17,520 --> 00:36:20,520 Speaker 3: market October second, they could probably take the day off 627 00:36:20,560 --> 00:36:23,520 Speaker 3: and play golf if it's nice outside. So it's banks 628 00:36:23,800 --> 00:36:29,440 Speaker 3: using this market to raise capital. A lot of European 629 00:36:29,480 --> 00:36:31,360 Speaker 3: banks are quite active in it. The US banks have 630 00:36:31,400 --> 00:36:34,239 Speaker 3: done it to some degree, but it's principally driven by 631 00:36:34,239 --> 00:36:38,319 Speaker 3: the European and a lesser degree Canadian banks. It can 632 00:36:38,360 --> 00:36:41,600 Speaker 3: include corporate credit, both large cap and middle market. It 633 00:36:41,600 --> 00:36:46,439 Speaker 3: can include auto loans, It can include consumer loans. One 634 00:36:46,520 --> 00:36:49,840 Speaker 3: large bank actually did trade finance loans, and you know 635 00:36:50,040 --> 00:36:53,120 Speaker 3: they've got a business. Someone you know, a merchant, puts 636 00:36:53,120 --> 00:36:55,640 Speaker 3: his goods in a box and shen zen on a boat. 637 00:36:55,920 --> 00:36:59,040 Speaker 3: He wants the money. It gets off the boat in croatio. 638 00:36:59,120 --> 00:37:01,000 Speaker 3: That guy doesn't want to pay, and so he opens 639 00:37:01,000 --> 00:37:03,799 Speaker 3: the box and sees the goods are there. One bank 640 00:37:03,880 --> 00:37:06,640 Speaker 3: is pretty good at doing that financing, and they actually 641 00:37:06,680 --> 00:37:09,400 Speaker 3: do an SRT on that portfolio. 642 00:37:09,640 --> 00:37:11,560 Speaker 2: And where do you take the position? Is it sort 643 00:37:11,560 --> 00:37:13,759 Speaker 2: of a second loss piece because obviously to take the 644 00:37:13,800 --> 00:37:16,399 Speaker 2: first loss piece in a co but do what where 645 00:37:16,480 --> 00:37:17,200 Speaker 2: is your positioning? 646 00:37:17,840 --> 00:37:20,520 Speaker 3: Typically a good, very good question. We're typically in the 647 00:37:20,520 --> 00:37:22,719 Speaker 3: first loss piece. Once in a while the banks will 648 00:37:22,800 --> 00:37:25,840 Speaker 3: keep a teeny tiny sliver beneath us, but by and 649 00:37:25,960 --> 00:37:28,640 Speaker 3: large we're in the first loss piece. Now in nearly 650 00:37:28,680 --> 00:37:31,080 Speaker 3: all of these the banks will also hold a portion 651 00:37:31,200 --> 00:37:33,359 Speaker 3: of the loan unhedged on their balance sheets, so they're 652 00:37:33,360 --> 00:37:36,560 Speaker 3: in the same loan alongside of us, but we are 653 00:37:36,640 --> 00:37:41,839 Speaker 3: typically first loss. What we're looking at is banks are 654 00:37:42,000 --> 00:37:44,640 Speaker 3: very very data rich, and you can see in many 655 00:37:44,680 --> 00:37:48,960 Speaker 3: cases twenty thirty years of loss experience, and like even 656 00:37:49,040 --> 00:37:52,040 Speaker 3: within auto loans, they might rank auto loans in fifteen 657 00:37:52,080 --> 00:37:55,319 Speaker 3: different categories of risk, and you can see with a 658 00:37:55,440 --> 00:37:58,280 Speaker 3: pretty they're pretty darn good at picking this kind of stuff. 659 00:37:59,239 --> 00:38:03,480 Speaker 3: How their portfolios have performed historically based on the bank's 660 00:38:03,560 --> 00:38:07,640 Speaker 3: internal risk category for any pool of assets. So that's 661 00:38:07,680 --> 00:38:09,040 Speaker 3: the kind of stuff we can look at. It's a 662 00:38:09,120 --> 00:38:12,680 Speaker 3: very data rich investment. When I think about putting it 663 00:38:12,719 --> 00:38:16,600 Speaker 3: together with COLO equity, there's a couple of interesting pieces. 664 00:38:17,280 --> 00:38:20,920 Speaker 3: Colo equity has NAV risk, and that when we get 665 00:38:20,960 --> 00:38:22,880 Speaker 3: to the call date, typically at the end of the 666 00:38:22,920 --> 00:38:27,200 Speaker 3: reinvestment period, doing whatever loans haven't defaulted, whatever's in the portfolio. 667 00:38:27,719 --> 00:38:29,960 Speaker 3: If I want to liquidate the portfolio, I get the 668 00:38:29,960 --> 00:38:32,080 Speaker 3: price the market will bear on that day for the 669 00:38:32,120 --> 00:38:34,279 Speaker 3: remaining loans, which could be ninety eight cents on the dollar, 670 00:38:34,320 --> 00:38:37,120 Speaker 3: could be ninety seven cents on the dollar, or along 671 00:38:37,160 --> 00:38:39,800 Speaker 3: the way. If loans trade way down all of a sudden, 672 00:38:41,200 --> 00:38:43,520 Speaker 3: the NAV could be zero in a piece of in 673 00:38:43,560 --> 00:38:46,280 Speaker 3: a piece of col equity, despite still getting cash flows. 674 00:38:47,920 --> 00:38:53,120 Speaker 3: In an SRT transaction or regulatory capital transaction, every loan 675 00:38:53,120 --> 00:38:56,160 Speaker 3: that doesn't default is unwound from the vehicle at par 676 00:38:57,000 --> 00:39:01,240 Speaker 3: in that it's a synthetic contract if it hasn't defaulted. Okay, 677 00:39:01,320 --> 00:39:03,120 Speaker 3: at think you just rip up the contract. There's no 678 00:39:03,239 --> 00:39:06,040 Speaker 3: mark to market on the way out. So one of 679 00:39:06,080 --> 00:39:10,240 Speaker 3: the big things that drives volatility in COLO equity pricing 680 00:39:11,320 --> 00:39:15,520 Speaker 3: NAV volatility is not something you face in regulatory capital 681 00:39:15,560 --> 00:39:19,040 Speaker 3: relief investing, so we like that a lot. What you 682 00:39:19,120 --> 00:39:22,719 Speaker 3: don't get in regulatory capital relief is the ability to 683 00:39:22,800 --> 00:39:27,520 Speaker 3: reinvest cheap. So in a world where in two thousand 684 00:39:27,520 --> 00:39:30,200 Speaker 3: and eight or twenty twenty, loans were trading at deep 685 00:39:30,239 --> 00:39:33,160 Speaker 3: deep discounts and coelos are able to use prepayments or 686 00:39:33,200 --> 00:39:37,080 Speaker 3: make relative value trades to buy things in a distressed market, 687 00:39:37,960 --> 00:39:41,799 Speaker 3: the regulatory capital relief market doesn't really have that concept. 688 00:39:42,200 --> 00:39:44,640 Speaker 3: Even if there's a replenishment period, which many do, where 689 00:39:44,640 --> 00:39:47,960 Speaker 3: the bank can add new assets meeting subject to certain criteria, 690 00:39:48,760 --> 00:39:52,000 Speaker 3: they just go into park. So you get the benefit 691 00:39:52,120 --> 00:39:56,200 Speaker 3: of NAVS stability or you're isolated from NAV risk when 692 00:39:56,200 --> 00:39:59,840 Speaker 3: you're in these regulatory capital pools, but you lose the 693 00:40:00,040 --> 00:40:04,360 Speaker 3: ability to reinvest cheap in distress days. I said earlier, 694 00:40:04,400 --> 00:40:07,080 Speaker 3: we were investing pretty aggressively in this market in twenty 695 00:40:07,080 --> 00:40:10,560 Speaker 3: twenty three and twenty four. If you look at some 696 00:40:10,600 --> 00:40:12,760 Speaker 3: of our public funds, which you can see our schedule 697 00:40:12,760 --> 00:40:14,760 Speaker 3: of investments, and you can see where we mark everything, 698 00:40:14,840 --> 00:40:16,600 Speaker 3: and you can compare it to others marks as well 699 00:40:16,600 --> 00:40:19,719 Speaker 3: if you'd like. You'll see we've added relatively little in 700 00:40:19,840 --> 00:40:23,440 Speaker 3: this space over the last eighteen months. It's still an 701 00:40:23,520 --> 00:40:28,800 Speaker 3: attractive investment in my opinion, but the excess return maybe 702 00:40:28,840 --> 00:40:31,279 Speaker 3: has been taken out of it to some degree in 703 00:40:31,320 --> 00:40:34,560 Speaker 3: that several large players have gotten involved then have just 704 00:40:34,640 --> 00:40:37,640 Speaker 3: gobbled things up and have actually asked for thicker equity 705 00:40:37,640 --> 00:40:41,200 Speaker 3: tranches than is needed just so they can get significant 706 00:40:41,239 --> 00:40:45,000 Speaker 3: sums of capital deployed. So whereas we were deploying a 707 00:40:45,040 --> 00:40:48,520 Speaker 3: lot of capital at fourteen fifteen percent loss adjusted a 708 00:40:48,520 --> 00:40:51,640 Speaker 3: couple of years ago, today it's going to be a 709 00:40:51,680 --> 00:40:54,200 Speaker 3: couple hundred basis points tighter than that. And when I 710 00:40:54,239 --> 00:40:58,320 Speaker 3: look across the ecosystem, and a number of our portfolios 711 00:40:58,360 --> 00:41:01,799 Speaker 3: are are multi strategy, can put we can buy clos 712 00:41:01,840 --> 00:41:03,960 Speaker 3: and then we can do fund financing. We can put 713 00:41:04,040 --> 00:41:07,799 Speaker 3: private infrastructure credit, we can put equipment leasing in, we 714 00:41:07,800 --> 00:41:12,560 Speaker 3: can do any number of things to put into those funds. 715 00:41:13,440 --> 00:41:18,440 Speaker 3: What I'm seeing is, in general, although there's exceptions, regulatory 716 00:41:18,480 --> 00:41:23,600 Speaker 3: capital today is less compelling to deploy capital into, not 717 00:41:23,640 --> 00:41:27,960 Speaker 3: necessarily because of future credit risk that we see, although 718 00:41:27,960 --> 00:41:31,800 Speaker 3: that's a factor more just in terms of the yields 719 00:41:31,800 --> 00:41:34,319 Speaker 3: that other investors are bidding today. No, it's hard to 720 00:41:34,360 --> 00:41:38,840 Speaker 3: say the market's cheap. I think it's still attractive, but 721 00:41:38,920 --> 00:41:40,239 Speaker 3: it's certainly not cheap. 722 00:41:40,680 --> 00:41:43,640 Speaker 1: Briefly because they're almost out of time, tom where do 723 00:41:43,719 --> 00:41:45,759 Speaker 1: you see the best relative value right now? Because you know, 724 00:41:45,800 --> 00:41:48,600 Speaker 1: you describe yourself as the biggest coelo equity investor that 725 00:41:48,640 --> 00:41:53,560 Speaker 1: you expect potential loss this year following a loss last year, 726 00:41:54,080 --> 00:41:55,359 Speaker 1: So you know, how. 727 00:41:55,280 --> 00:41:57,239 Speaker 3: Do you make your money the old fashioned way of 728 00:41:57,600 --> 00:41:59,680 Speaker 3: hopefully picking the best investments. And even if you look 729 00:41:59,719 --> 00:42:02,120 Speaker 3: at our public COLO funds, there's plenty of things that 730 00:42:02,160 --> 00:42:04,880 Speaker 3: are not clos in those funds today, and that's an 731 00:42:04,920 --> 00:42:09,680 Speaker 3: important part of delivering value for our shareholders in those vehicles. 732 00:42:09,719 --> 00:42:14,040 Speaker 3: Across the strategies and across the areas where we're investing today, 733 00:42:14,719 --> 00:42:17,839 Speaker 3: what I think of as the two most attractive things 734 00:42:17,840 --> 00:42:24,240 Speaker 3: that are getting the most excitement are middle market infrastructure lending, 735 00:42:24,440 --> 00:42:27,760 Speaker 3: and we have a dedicated team focused on that. Where 736 00:42:27,800 --> 00:42:30,640 Speaker 3: we're not coming in lending on Heathrow Airport or you know, 737 00:42:30,719 --> 00:42:35,160 Speaker 3: these ginormous projects we're coming in at the one hundred 738 00:42:35,160 --> 00:42:39,560 Speaker 3: million couple hundred million dollar financing size, so smaller than 739 00:42:39,600 --> 00:42:43,400 Speaker 3: the but the gigantic groups are going after. We've been 740 00:42:43,440 --> 00:42:47,239 Speaker 3: able to get some very attractive investments done there where 741 00:42:47,239 --> 00:42:51,600 Speaker 3: we're providing i'll call it bespoke solutions for folks. We 742 00:42:51,640 --> 00:42:55,359 Speaker 3: can speak for the whole facility ourselves, but it's not 743 00:42:55,480 --> 00:42:58,520 Speaker 3: big enough to attract the gigantic funds, and it's also 744 00:42:59,280 --> 00:43:02,600 Speaker 3: probably seeing one little tweak to make it bank eligible 745 00:43:02,600 --> 00:43:04,799 Speaker 3: for the project finance market, which is by far one 746 00:43:04,840 --> 00:43:07,960 Speaker 3: of the cheapest markets. So we've deployed probably over a 747 00:43:08,000 --> 00:43:11,759 Speaker 3: billion dollars in infrastructure middle market private credit over the 748 00:43:11,880 --> 00:43:15,680 Speaker 3: last year, and our pipeline there is very robust. We 749 00:43:15,760 --> 00:43:20,000 Speaker 3: also have a joint venture with a large one hundred 750 00:43:20,000 --> 00:43:21,759 Speaker 3: plus year old bank here in New York City for 751 00:43:21,840 --> 00:43:27,480 Speaker 3: equipment financing. And when we think about serving middle market companies, 752 00:43:27,719 --> 00:43:30,600 Speaker 3: many of these are the companies that are borrowing at 753 00:43:30,640 --> 00:43:34,960 Speaker 3: SOFA plus five hundred from these BDCs facing redemptions. In 754 00:43:35,000 --> 00:43:37,359 Speaker 3: many cases, we've been able to go to companies when 755 00:43:37,400 --> 00:43:40,560 Speaker 3: we've seen them issue alone and say would you also 756 00:43:40,560 --> 00:43:43,200 Speaker 3: be interested in doing a sale lease back on some 757 00:43:43,239 --> 00:43:46,320 Speaker 3: of your essential equipment. And we have a dedicated program 758 00:43:46,320 --> 00:43:49,960 Speaker 3: where with outbound calling where we're going and we're actually 759 00:43:50,239 --> 00:43:53,960 Speaker 3: doing sale leasebacks on like a good example of essential 760 00:43:54,000 --> 00:43:58,440 Speaker 3: manufacturing equipment. And what makes that very good In a 761 00:43:58,560 --> 00:44:01,960 Speaker 3: lease the less or you're the owner of the equipment. 762 00:44:03,000 --> 00:44:04,879 Speaker 3: It's good to be a secured lender is great. It's 763 00:44:04,920 --> 00:44:06,480 Speaker 3: better to own the equipment. And the course of a 764 00:44:06,480 --> 00:44:09,360 Speaker 3: bankruptcy and if a company doesn't pay or it goes bankrupt, 765 00:44:09,400 --> 00:44:11,840 Speaker 3: they either reaffirm the lease and keep paying, or you 766 00:44:11,920 --> 00:44:13,640 Speaker 3: go and take your equipment. You've got the title, you 767 00:44:13,680 --> 00:44:16,440 Speaker 3: take the sheriff, and you get your stuff. What's important 768 00:44:16,440 --> 00:44:21,360 Speaker 3: in that strategy is focusing on the most essential equipment. 769 00:44:21,560 --> 00:44:24,840 Speaker 3: There's one company we're involved in that owns a large 770 00:44:24,840 --> 00:44:28,400 Speaker 3: portfolio of gas stations or petrol stations. We own the 771 00:44:28,520 --> 00:44:30,680 Speaker 3: gas pumps and least them back. If they're going to 772 00:44:30,680 --> 00:44:32,279 Speaker 3: be a business, they're going to have these, and if not, 773 00:44:32,520 --> 00:44:35,399 Speaker 3: there's actually a secondary market for used gas pumps, believe 774 00:44:35,400 --> 00:44:38,839 Speaker 3: it or not. A and then be The other thing 775 00:44:38,880 --> 00:44:42,160 Speaker 3: I like about it is knowing not a lot of 776 00:44:42,200 --> 00:44:46,080 Speaker 3: people are sitting here saying inflation's going down, and probably 777 00:44:46,160 --> 00:44:49,160 Speaker 3: inflation's trending up over the long term, we've got more 778 00:44:49,440 --> 00:44:53,560 Speaker 3: geopolitical uncertainty in the world. Commodity and energy inputs are 779 00:44:54,160 --> 00:44:59,400 Speaker 3: you know, probably keep going up, not down. Inflation is 780 00:44:59,440 --> 00:45:03,480 Speaker 3: a G eight factor for equipment financing in that we 781 00:45:03,520 --> 00:45:06,000 Speaker 3: own the equipment at the end of the lease, and 782 00:45:06,080 --> 00:45:09,320 Speaker 3: to the extent inflation is high, residual values will typically 783 00:45:09,320 --> 00:45:12,239 Speaker 3: be higher, and there's a path for significant gain. Of 784 00:45:12,320 --> 00:45:14,720 Speaker 3: some of our earliest leases that have gone full cycle, 785 00:45:14,719 --> 00:45:17,439 Speaker 3: we've actually really crystallized very nice gains at the tail 786 00:45:17,520 --> 00:45:21,279 Speaker 3: end of that. I'm leasing as a specialized market. There's 787 00:45:21,320 --> 00:45:23,960 Speaker 3: other quirks to it, not just straight up corporate lending, 788 00:45:24,640 --> 00:45:26,680 Speaker 3: and we have a dedicated team focused on that. So 789 00:45:26,719 --> 00:45:28,600 Speaker 3: when I think of the things that are exciting us 790 00:45:28,600 --> 00:45:30,759 Speaker 3: that typically move to the top of the pile when 791 00:45:30,760 --> 00:45:34,640 Speaker 3: we're looking at investments, a middle market infrastructure credit is 792 00:45:34,680 --> 00:45:38,799 Speaker 3: one for sure, equipment finance certainly another, and then I'll 793 00:45:38,840 --> 00:45:41,959 Speaker 3: call it esoteric specialty finance. Things that might just fall 794 00:45:42,000 --> 00:45:44,920 Speaker 3: through the cracks where we can apply a little bit 795 00:45:44,960 --> 00:45:47,640 Speaker 3: of abs knowledge and a little bit of structured product 796 00:45:47,680 --> 00:45:50,839 Speaker 3: knowledge and some corporate credit finding things like that, they're 797 00:45:50,840 --> 00:45:53,759 Speaker 3: typically going to be over ten percent type returns. Not 798 00:45:53,840 --> 00:45:55,520 Speaker 3: the kind of thing where we're going to be competing 799 00:45:55,520 --> 00:45:59,640 Speaker 3: with a BBC. Might need a little extra brain power 800 00:45:59,760 --> 00:46:01,759 Speaker 3: to to kind of figure it out and structure it. 801 00:46:01,840 --> 00:46:04,480 Speaker 3: But those are the kind of things that do excite us. 802 00:46:04,520 --> 00:46:08,360 Speaker 1: Great stuff. Tom Yeski, found managing partner at Eagle Point Credit, 803 00:46:08,360 --> 00:46:10,239 Speaker 1: Thank you so much for joining us on the Credit Edge. 804 00:46:10,280 --> 00:46:11,919 Speaker 3: Great, thank you so much for having me, and. 805 00:46:11,840 --> 00:46:14,640 Speaker 1: Of course very grateful to Retto Bachman with Bloomberg Intelligence. 806 00:46:14,680 --> 00:46:17,680 Speaker 1: Thank you very much. Pleasure for more credit market analysis 807 00:46:17,719 --> 00:46:19,640 Speaker 1: and insight, read all of Retto's great work on the 808 00:46:19,680 --> 00:46:22,880 Speaker 1: Bloomberg Terminal. Bloomberg Intelligence is part of our research department 809 00:46:22,880 --> 00:46:26,120 Speaker 1: with five hundred and and strategists working across all markets. 810 00:46:26,360 --> 00:46:28,839 Speaker 1: Coverage your clues over two thousand equates and credits, pass 811 00:46:28,840 --> 00:46:32,280 Speaker 1: outlooks on more than ninety industries and one hundred market indices, 812 00:46:32,320 --> 00:46:35,839 Speaker 1: currencies and commodities. Please do subscribe to the Credit Edge 813 00:46:35,840 --> 00:46:38,360 Speaker 1: wherever you get your podcasts. We're on Apple, Spotify and 814 00:46:38,400 --> 00:46:41,640 Speaker 1: all other good podcast providers, including the Bloomberg Terminal at 815 00:46:41,680 --> 00:46:44,600 Speaker 1: b pod Go. Give us a review, tell your friends, 816 00:46:44,680 --> 00:46:48,040 Speaker 1: or email me directly at jcromb eight at Bloomberg dot net. 817 00:46:48,640 --> 00:46:50,759 Speaker 1: I'm James Cromby. It's been a pleasure having you join 818 00:46:50,840 --> 00:47:09,160 Speaker 1: us again next week on the Credit Edge