1 00:00:00,040 --> 00:00:02,360 Speaker 1: Well, a suggestion from the fund manager in ninety one 2 00:00:02,360 --> 00:00:05,680 Speaker 1: that the private credit market and emerging markets might be 3 00:00:05,720 --> 00:00:09,719 Speaker 1: a better investment and private credit markets in the US, 4 00:00:09,800 --> 00:00:12,040 Speaker 1: or certainly than the US private credit markets gets a 5 00:00:12,039 --> 00:00:15,480 Speaker 1: bit technical, but essentially we looking at how different markets 6 00:00:15,520 --> 00:00:18,840 Speaker 1: are changing and their positions relative to each other right 7 00:00:18,920 --> 00:00:22,880 Speaker 1: now are different from what they were before. Martin Pruz 8 00:00:23,079 --> 00:00:26,319 Speaker 1: is the co head of Emerging Market Alternative Debt at 9 00:00:26,520 --> 00:00:29,800 Speaker 1: ninety one. Martin, good evening, and thank you for your time. 10 00:00:30,200 --> 00:00:32,760 Speaker 1: It's such an interesting suggestion. What do you think has 11 00:00:32,840 --> 00:00:36,479 Speaker 1: changed and I suppose particularly in the US that is 12 00:00:36,520 --> 00:00:38,000 Speaker 1: making you suggest this. 13 00:00:40,600 --> 00:00:42,600 Speaker 2: Hi, good evening, and thank you for having me on 14 00:00:42,640 --> 00:00:47,120 Speaker 2: the show. What we have seen since a global financial 15 00:00:47,159 --> 00:00:50,320 Speaker 2: crisis that the private credit SS class has grown too 16 00:00:50,440 --> 00:00:55,760 Speaker 2: roughly about three trillion dollars at a moment, and this 17 00:00:55,880 --> 00:00:58,440 Speaker 2: market has been grown very fast and has done very well. 18 00:00:58,440 --> 00:01:01,760 Speaker 2: But in the US we see in some parts of 19 00:01:01,800 --> 00:01:06,560 Speaker 2: that market facing challenges. Some data seems to suggest that 20 00:01:06,800 --> 00:01:10,560 Speaker 2: the default rate has hit nine point two percent over 21 00:01:10,560 --> 00:01:13,560 Speaker 2: the last twelve months, and that's a clear sign of 22 00:01:13,560 --> 00:01:17,640 Speaker 2: some stress. What we have seen there is that the 23 00:01:17,680 --> 00:01:22,640 Speaker 2: private credit boommont was built on significant liquidity and relatively 24 00:01:22,680 --> 00:01:27,679 Speaker 2: low cost funding, and that has perhaps resulted in some 25 00:01:27,760 --> 00:01:32,720 Speaker 2: more losing loose lending terms, especially the growth of covenant 26 00:01:32,800 --> 00:01:37,000 Speaker 2: light loans structures which strip out maintenance covenance early warning 27 00:01:37,040 --> 00:01:41,280 Speaker 2: systems for lenders. These loans also carry often a high 28 00:01:41,360 --> 00:01:45,880 Speaker 2: level of structural subordination compared to lenders that typically would 29 00:01:46,000 --> 00:01:50,240 Speaker 2: lend at the asset levels. And when base rates remained 30 00:01:50,280 --> 00:01:54,440 Speaker 2: high and borers took out floating rate debt at about 31 00:01:54,480 --> 00:01:57,880 Speaker 2: six to seven times their earnings, we see now those 32 00:01:57,920 --> 00:02:02,840 Speaker 2: borders struggling to cover their debt service payments. And this 33 00:02:02,880 --> 00:02:08,680 Speaker 2: is what's happening in the US. And consequently lenders and 34 00:02:08,720 --> 00:02:13,960 Speaker 2: borers have been more using more paying kind loans where 35 00:02:14,000 --> 00:02:17,880 Speaker 2: then interest is not paid, but cash is ruled up 36 00:02:18,040 --> 00:02:22,640 Speaker 2: and added to the outstanding debt, which is effectively means 37 00:02:22,840 --> 00:02:25,320 Speaker 2: kicking the can down the road and not resolving the 38 00:02:25,360 --> 00:02:28,880 Speaker 2: issues on the line in these businesses. So what we're 39 00:02:28,919 --> 00:02:31,280 Speaker 2: seeing today in the US is kind of the structural 40 00:02:31,320 --> 00:02:35,640 Speaker 2: consequences of a market that grew probably too quickly, where 41 00:02:35,760 --> 00:02:40,960 Speaker 2: competition has driven down yields and probably weekend structuring standards 42 00:02:41,040 --> 00:02:42,480 Speaker 2: in a borer's market. 43 00:02:43,960 --> 00:02:46,400 Speaker 1: Okay, so then all of us means that that picture 44 00:02:46,600 --> 00:02:51,280 Speaker 1: is slightly riskier an emerging markets. I mean generally people 45 00:02:51,280 --> 00:02:53,600 Speaker 1: emerging markets are sort of see you know, people are 46 00:02:53,639 --> 00:02:56,520 Speaker 1: risk averse about emerging markets for a reason. There's something 47 00:02:56,560 --> 00:03:00,000 Speaker 1: about the structure of companies that are in that market 48 00:03:00,080 --> 00:03:02,280 Speaker 1: that would seem to make them quite attractive. 49 00:03:04,520 --> 00:03:07,840 Speaker 2: Yeah, So what we see in emerging markets, you know, 50 00:03:07,880 --> 00:03:13,480 Speaker 2: these are fast growing economies. You see urbanization, so there's 51 00:03:13,520 --> 00:03:18,799 Speaker 2: a lot of need for what we call ast heavy 52 00:03:19,160 --> 00:03:24,480 Speaker 2: infrastructure and all their corporates that need funding. And our 53 00:03:24,560 --> 00:03:28,200 Speaker 2: experience in these markets it is less crowded. You know, 54 00:03:28,280 --> 00:03:31,040 Speaker 2: in the US and other parts of the development markets, 55 00:03:31,560 --> 00:03:35,760 Speaker 2: we see much capital chased, only so many gills, leading 56 00:03:35,760 --> 00:03:39,800 Speaker 2: to yield compression and perhaps loser covenance. In emerging markets, 57 00:03:40,000 --> 00:03:45,640 Speaker 2: the private credit market is still relatively nascent. Local banks 58 00:03:45,680 --> 00:03:47,920 Speaker 2: can only do so much, and in terms of liquidity 59 00:03:48,000 --> 00:03:53,800 Speaker 2: sometimes they are constrained. International capitals still somewhat scars. And 60 00:03:53,840 --> 00:03:58,240 Speaker 2: then borrowers generally need what we are offering. In these markets, 61 00:03:58,240 --> 00:04:02,120 Speaker 2: you see some excellent companies, and in these markets we 62 00:04:02,320 --> 00:04:06,560 Speaker 2: typically can structure and stipulate our collateral protections and the 63 00:04:06,600 --> 00:04:10,400 Speaker 2: convenance that we want and This kiss us as lender 64 00:04:11,360 --> 00:04:15,920 Speaker 2: structuring and negotiation power and makes us more resilient through 65 00:04:16,000 --> 00:04:17,640 Speaker 2: a full credit cycle. 66 00:04:18,440 --> 00:04:21,000 Speaker 1: If you look at the situation in the US, is 67 00:04:21,120 --> 00:04:23,599 Speaker 1: part of your concern at all related to AI? And 68 00:04:23,839 --> 00:04:25,960 Speaker 1: I realized, Martin, I can fall into the drop of 69 00:04:26,279 --> 00:04:30,800 Speaker 1: blaming AI for everything, as everybody does nowadays. And there 70 00:04:30,880 --> 00:04:33,200 Speaker 1: was a time when it looked like, you know, the 71 00:04:33,240 --> 00:04:36,760 Speaker 1: world would be vulnerable to a kind of AI crash 72 00:04:37,120 --> 00:04:39,480 Speaker 1: or a bubble would burst. It doesn't, It doesn't look 73 00:04:39,760 --> 00:04:42,200 Speaker 1: like that would happen, but there will be a lot 74 00:04:42,200 --> 00:04:45,800 Speaker 1: of disruption, and in that disruption, some people will lose value. 75 00:04:47,960 --> 00:04:52,159 Speaker 2: Yeah, that is certainly the case. That some parts of 76 00:04:52,200 --> 00:04:56,719 Speaker 2: the US private credit market became heavily concentrated to software 77 00:04:56,760 --> 00:05:00,679 Speaker 2: companies and software as a service company. These were typically 78 00:05:00,720 --> 00:05:05,760 Speaker 2: fast growing but relatively asset light businesses that banks banks 79 00:05:05,800 --> 00:05:09,880 Speaker 2: typically wouldn't lend to. And now what we see is 80 00:05:09,920 --> 00:05:14,520 Speaker 2: that AI is disrupting those very businesses, compressing their revenues 81 00:05:14,560 --> 00:05:20,080 Speaker 2: and making loans underneath more challenging. So AI has a 82 00:05:20,200 --> 00:05:22,200 Speaker 2: lot to offer. You know, we as a business use 83 00:05:22,240 --> 00:05:25,039 Speaker 2: it every day already, and it makes us more productive. 84 00:05:25,520 --> 00:05:29,200 Speaker 2: But specifically in the US where we saw challenges around 85 00:05:29,400 --> 00:05:34,039 Speaker 2: software and software as a service companies, and AI is 86 00:05:34,080 --> 00:05:38,360 Speaker 2: particularly impacting those businesses. What we are doing as ninety 87 00:05:38,480 --> 00:05:42,760 Speaker 2: one in emerging markets is more dominated by asset heavy 88 00:05:42,920 --> 00:05:48,719 Speaker 2: cash flow generative borers, and therefore we are more limited 89 00:05:48,960 --> 00:05:53,279 Speaker 2: have more limited exposure to sectors that are vulnerable to AI. 90 00:05:53,839 --> 00:05:58,000 Speaker 2: Think of infrastructures such as data centers, telecoms, hours, power 91 00:05:58,040 --> 00:06:04,680 Speaker 2: generation companies are transport physical infrastructure, right, and these sectors 92 00:06:04,720 --> 00:06:08,560 Speaker 2: are typically positively impacted by AI as it makes these 93 00:06:08,560 --> 00:06:09,720 Speaker 2: services more efficient. 94 00:06:11,640 --> 00:06:16,800 Speaker 1: So I accept the argument about emerging markets versus the 95 00:06:16,920 --> 00:06:19,840 Speaker 1: US when the situation in Iran up end all of this. 96 00:06:20,160 --> 00:06:23,400 Speaker 1: I mean, the whole world is vulnerable to an oil shock, 97 00:06:23,920 --> 00:06:27,920 Speaker 1: but usually the emerging world seems to be more vulnerable 98 00:06:28,000 --> 00:06:32,680 Speaker 1: and certainly less able to really respond. I mean, we 99 00:06:32,760 --> 00:06:35,200 Speaker 1: can't all move over to electric cars, whereas people in 100 00:06:35,240 --> 00:06:36,560 Speaker 1: the United States probably could. 101 00:06:39,080 --> 00:06:44,400 Speaker 2: Yeah. So, obviously, the unfortunate events are disrupting the world, 102 00:06:45,040 --> 00:06:47,359 Speaker 2: and we're starting to see the first signs of that. 103 00:06:49,279 --> 00:06:54,320 Speaker 2: What I think it will do is that what we 104 00:06:54,400 --> 00:06:58,039 Speaker 2: have seen in these markets, whatever happens, is that how 105 00:06:58,080 --> 00:07:01,839 Speaker 2: resilient these markets are. You know, we have been investing 106 00:07:01,880 --> 00:07:05,760 Speaker 2: in Africa for over twenty years. We have had a 107 00:07:05,800 --> 00:07:09,279 Speaker 2: global financial crisis, we had a commodity crisis, we had 108 00:07:09,640 --> 00:07:14,160 Speaker 2: currency crisises, we had COVID and despite all that, our 109 00:07:14,200 --> 00:07:17,640 Speaker 2: loss rates on the content of Africa and other emerging 110 00:07:17,720 --> 00:07:22,320 Speaker 2: markets is still relatively low. So, yes, there are certainly 111 00:07:22,360 --> 00:07:26,840 Speaker 2: disruptive events, and what's currently happening will be disruptive. But 112 00:07:26,960 --> 00:07:30,640 Speaker 2: if you find the right fundamental, strong businesses, you have 113 00:07:30,720 --> 00:07:34,040 Speaker 2: a good credit case, and even through these events, you 114 00:07:34,160 --> 00:07:38,840 Speaker 2: will get through. And you might see default rates being 115 00:07:38,880 --> 00:07:43,440 Speaker 2: elevated for a period of time, but recovery rates are 116 00:07:43,800 --> 00:07:46,400 Speaker 2: always high as well, even in decent areas. 117 00:07:47,080 --> 00:07:49,320 Speaker 1: Thank you very much, I really to appreciate that time. 118 00:07:49,480 --> 00:07:53,000 Speaker 1: Martin Bruss is the co head of Emerging Market Alternative 119 00:07:53,040 --> 00:07:54,400 Speaker 1: Debt at ninety one