1 00:00:01,400 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,120 --> 00:00:06,240 Speaker 1: with my co host of Bonnie Quinn. Every business day, 3 00:00:06,240 --> 00:00:10,360 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Find the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple podcast or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:22,160 Speaker 1: and on Bloomberg dot com. We says over for Congress, 7 00:00:22,200 --> 00:00:26,360 Speaker 1: Nancy Pelosi has called back the House because of growing 8 00:00:26,360 --> 00:00:31,120 Speaker 1: controversy surrounding the USPS, the United States Postal Service. Writing 9 00:00:31,360 --> 00:00:36,640 Speaker 1: on this subject today in Bloomberg Opinion, Timothy O'Brien, senior 10 00:00:36,720 --> 00:00:39,720 Speaker 1: columnist for Bloomberg, And in fact it wasn't today, Tim, 11 00:00:39,760 --> 00:00:41,360 Speaker 1: but it has been recently, and it's not the first 12 00:00:41,360 --> 00:00:44,280 Speaker 1: time you've written on this subject. What can Congress do 13 00:00:44,520 --> 00:00:48,960 Speaker 1: to throw light on what the president is doing and 14 00:00:49,479 --> 00:00:53,720 Speaker 1: rain in anything that's illegal? Um? Well, Van, yeah, I 15 00:00:53,720 --> 00:00:55,920 Speaker 1: think I think I should do a lot to throw 16 00:00:56,040 --> 00:00:57,960 Speaker 1: light on the problem. I'm not sure how much they 17 00:00:57,960 --> 00:01:01,280 Speaker 1: can do to stop it. What's going on is mail 18 00:01:01,320 --> 00:01:04,600 Speaker 1: carriers hours has been reduced, Post office hours have been reduced. 19 00:01:05,680 --> 00:01:08,760 Speaker 1: UM large mail sorting machines are being taken out of 20 00:01:08,800 --> 00:01:12,720 Speaker 1: commission in post office hubs and all of this is 21 00:01:12,760 --> 00:01:15,680 Speaker 1: slowing down mail delivery that matters in an election year. 22 00:01:16,640 --> 00:01:20,840 Speaker 1: Pardon me, because uh, there's there's a strong chance we're 23 00:01:20,840 --> 00:01:23,800 Speaker 1: going to have a huge surgeon mail in voting uh 24 00:01:23,840 --> 00:01:27,319 Speaker 1: this year because of the pandemic. And um, it's it's 25 00:01:27,360 --> 00:01:31,480 Speaker 1: pretty clear that um, this is is in is an 26 00:01:31,520 --> 00:01:35,280 Speaker 1: effort to weaponize the Postal Service to slow down mail 27 00:01:35,319 --> 00:01:39,679 Speaker 1: in balloting, and the President is behind that. He's done 28 00:01:39,800 --> 00:01:42,360 Speaker 1: very little uh to try to stop it. He's been 29 00:01:42,440 --> 00:01:44,720 Speaker 1: questioned about it, he said he has no interest in 30 00:01:44,800 --> 00:01:47,120 Speaker 1: changing what's going on in the Postal Service. In fact, 31 00:01:47,160 --> 00:01:50,000 Speaker 1: he said he won't even release funds of the Postal 32 00:01:50,080 --> 00:01:54,920 Speaker 1: Service that would allow to speed up its operations. Um Uh. 33 00:01:55,160 --> 00:01:58,640 Speaker 1: Congress is holding hearings. Congress has asked the Inspector General 34 00:01:58,680 --> 00:02:02,120 Speaker 1: at the Post Office to examine this. A number of 35 00:02:02,240 --> 00:02:06,840 Speaker 1: state attorneys general are are coalescing around this and planning 36 00:02:07,280 --> 00:02:09,880 Speaker 1: to sue the Trump administration of the Post Office to 37 00:02:09,960 --> 00:02:12,959 Speaker 1: stop these practices, but that has to wend its way 38 00:02:12,960 --> 00:02:16,320 Speaker 1: through the court. So the issue here is, um, how 39 00:02:16,400 --> 00:02:19,480 Speaker 1: much can really be done in real time to course 40 00:02:19,560 --> 00:02:23,560 Speaker 1: correct here so voters of both parties don't get their 41 00:02:23,639 --> 00:02:26,919 Speaker 1: votes um taken away from them because the post Office 42 00:02:26,919 --> 00:02:30,600 Speaker 1: can't deliver their balance. I didn't even know this was 43 00:02:30,680 --> 00:02:33,160 Speaker 1: a thing until it happened him. Um, it just seems 44 00:02:33,200 --> 00:02:36,280 Speaker 1: like every day there's something new here, is there? This 45 00:02:36,360 --> 00:02:38,160 Speaker 1: kind of goes to the bigger question. I guess that 46 00:02:38,280 --> 00:02:41,720 Speaker 1: some people are raising that if the president were to 47 00:02:42,040 --> 00:02:46,320 Speaker 1: lose this election, that perhaps he would not be willing 48 00:02:46,360 --> 00:02:49,799 Speaker 1: to really admit that, or or he would can can 49 00:02:49,880 --> 00:02:53,360 Speaker 1: contest it? Is that a material risk in your perspective, 50 00:02:54,120 --> 00:02:56,240 Speaker 1: it's a very material risk, And he said as much. 51 00:02:56,240 --> 00:02:59,480 Speaker 1: You know, he said in recent press appearances that we 52 00:02:59,760 --> 00:03:01,960 Speaker 1: will know the results on election night. We may not 53 00:03:02,080 --> 00:03:05,520 Speaker 1: know it for weeks after election night, perhaps even months. 54 00:03:05,560 --> 00:03:08,320 Speaker 1: I mean that we certainly may not know an election night, 55 00:03:08,360 --> 00:03:11,600 Speaker 1: and we may not know shortly after election night. But 56 00:03:11,600 --> 00:03:16,120 Speaker 1: but we will find out in relatively short order, and 57 00:03:16,200 --> 00:03:17,960 Speaker 1: voters will just have to get used to the facts. 58 00:03:18,000 --> 00:03:20,720 Speaker 1: Will take a little longer this year, but the President 59 00:03:20,800 --> 00:03:24,000 Speaker 1: has already ceded the ground with the idea that the 60 00:03:24,080 --> 00:03:27,600 Speaker 1: vote can't be trusted. He said that mail in balloting 61 00:03:27,680 --> 00:03:32,400 Speaker 1: is riddled with fraud. That's just factually untrue. A majority 62 00:03:32,400 --> 00:03:36,400 Speaker 1: of states have used it quite well for quite a 63 00:03:36,400 --> 00:03:40,120 Speaker 1: long time, including Red states Republican states who stand by 64 00:03:40,120 --> 00:03:43,240 Speaker 1: it as a process. So yeah, it's a material risk, 65 00:03:43,280 --> 00:03:46,240 Speaker 1: and I think, like everything in the Trump era, he's 66 00:03:46,280 --> 00:03:50,800 Speaker 1: he's pressing the limits of what we accept as norms 67 00:03:50,840 --> 00:03:57,160 Speaker 1: around executive authority and presidential behavior and public institutions that 68 00:03:57,200 --> 00:04:00,160 Speaker 1: are really challenging people to kind of wrestle these things 69 00:04:00,160 --> 00:04:02,840 Speaker 1: to the ground with him. It's really interesting because it 70 00:04:02,960 --> 00:04:05,600 Speaker 1: sort of puts paid to the idea that the president 71 00:04:05,640 --> 00:04:07,560 Speaker 1: may not run now, or may pull out of the 72 00:04:07,600 --> 00:04:10,000 Speaker 1: race if he thinks he's not going to win, or 73 00:04:10,240 --> 00:04:12,600 Speaker 1: or or or this rhetoric that's going around that maybe 74 00:04:12,640 --> 00:04:14,360 Speaker 1: he doesn't really want it, that he had his one 75 00:04:14,480 --> 00:04:17,360 Speaker 1: term and he'll be finding something else. It seems like 76 00:04:17,440 --> 00:04:20,200 Speaker 1: he really, really, really does want to win a second term. 77 00:04:20,360 --> 00:04:22,680 Speaker 1: The other thing that's been pointed out to people in 78 00:04:22,720 --> 00:04:25,279 Speaker 1: his campaign and to himself is that last time around 79 00:04:25,520 --> 00:04:30,360 Speaker 1: Mielan balloting actually benefited him, and so even that isn't enough, 80 00:04:31,240 --> 00:04:34,240 Speaker 1: you know, to to change his mind on what's going 81 00:04:34,279 --> 00:04:37,320 Speaker 1: on here with the postal service. Now. His argument is 82 00:04:37,360 --> 00:04:39,520 Speaker 1: that it's a money loser, and of course that's a 83 00:04:39,520 --> 00:04:44,039 Speaker 1: winning argument for a capitalist who cares about money. How 84 00:04:44,680 --> 00:04:48,120 Speaker 1: how do those who don't like what's going on defend 85 00:04:48,440 --> 00:04:53,160 Speaker 1: the USPS. So it's the United States Postal Service, it's 86 00:04:53,200 --> 00:04:56,680 Speaker 1: not the United States Postal business. It was mentioned in 87 00:04:56,720 --> 00:04:59,880 Speaker 1: the in the Constitution as an organization that was meant 88 00:04:59,880 --> 00:05:02,560 Speaker 1: to knit the country together and to make sure that 89 00:05:02,640 --> 00:05:05,960 Speaker 1: Americans who lived in far fun places would always have 90 00:05:05,960 --> 00:05:09,159 Speaker 1: a means of communication. Uh. And that's still true today. 91 00:05:09,200 --> 00:05:12,400 Speaker 1: The Post Office loses a lot of money on traditional 92 00:05:12,440 --> 00:05:16,480 Speaker 1: mail delivery because they have to deliver to remote rural communities. 93 00:05:16,920 --> 00:05:21,039 Speaker 1: Seniors really rely on the service, and the post Office 94 00:05:21,080 --> 00:05:23,760 Speaker 1: itself is not allowed to raise the price of stamps. 95 00:05:23,800 --> 00:05:26,240 Speaker 1: That's that's set by a commission that decides what the 96 00:05:26,279 --> 00:05:29,960 Speaker 1: affordable rate should be. But we also don't expect the 97 00:05:30,000 --> 00:05:32,480 Speaker 1: Department of Defense to make a profit. In fact, the 98 00:05:32,520 --> 00:05:36,320 Speaker 1: Department of Defense loses by that standard. The Department of 99 00:05:36,320 --> 00:05:39,160 Speaker 1: Defense loses far more money annually than the post Office, 100 00:05:39,839 --> 00:05:45,360 Speaker 1: roads and bridges, fire departments, police departments. Uh. The Intelligence 101 00:05:45,360 --> 00:05:48,320 Speaker 1: services and the Diplomatic Corps and the White House itself 102 00:05:48,640 --> 00:05:52,880 Speaker 1: are not for profit businesses their public services. Uh. That said, 103 00:05:53,800 --> 00:05:56,760 Speaker 1: there's no question that the post offices operations could be 104 00:05:56,800 --> 00:05:59,760 Speaker 1: streamlined and and and new thought and fresh thinking about 105 00:05:59,800 --> 00:06:02,800 Speaker 1: how can do its job better is welcome. But it's 106 00:06:02,839 --> 00:06:06,800 Speaker 1: a complete strong man to say this is about just 107 00:06:07,040 --> 00:06:10,359 Speaker 1: making the post office a better business. It's very clear 108 00:06:10,440 --> 00:06:14,680 Speaker 1: now that that this is about the post office mission 109 00:06:15,839 --> 00:06:19,560 Speaker 1: being perverted and derailed in the service of a trench 110 00:06:19,600 --> 00:06:23,760 Speaker 1: warfare approach to politics. Well, it's extraordinary. Tim O'Brien, thanks 111 00:06:23,800 --> 00:06:26,800 Speaker 1: so much for joining us and providing some color on 112 00:06:26,920 --> 00:06:30,480 Speaker 1: what is a developing story. One that's getting the interest 113 00:06:30,520 --> 00:06:33,320 Speaker 1: in the of Congress right now is Speaker Pelos, who 114 00:06:33,360 --> 00:06:35,920 Speaker 1: brings the house back. Timothy O'Brian, Senior Columns for Bloomberg 115 00:06:36,000 --> 00:06:39,279 Speaker 1: Opinion joining us. Just a fascinating story. There's something new 116 00:06:39,560 --> 00:06:42,080 Speaker 1: every day, it seems like. And it's uh the good 117 00:06:42,120 --> 00:06:45,560 Speaker 1: folks of Bloomberg News and UH and Bloomberg Opinion keeping 118 00:06:45,640 --> 00:06:50,560 Speaker 1: up on all of it, so we appreciate their help. Well, 119 00:06:50,560 --> 00:06:53,080 Speaker 1: this market has been described as one that's being quote 120 00:06:53,120 --> 00:06:56,320 Speaker 1: unquote backstopped by the US Federal Reservant for that matter, 121 00:06:56,360 --> 00:06:58,640 Speaker 1: of central banks around the world. To get a sense 122 00:06:58,640 --> 00:07:01,680 Speaker 1: of whether that is enough for this market going forward 123 00:07:01,720 --> 00:07:05,600 Speaker 1: to welcome Nicholas, co founder Data Trek Research, Nick, thanks 124 00:07:05,640 --> 00:07:07,880 Speaker 1: so much. For joining us here. So again i'd love 125 00:07:07,880 --> 00:07:10,440 Speaker 1: to get your thirty foot view on what's kind of 126 00:07:10,480 --> 00:07:14,080 Speaker 1: pushing this market higher. We obviously had that terrible pullback 127 00:07:14,440 --> 00:07:17,960 Speaker 1: March April when the coronavirus hit, but since then with 128 00:07:18,080 --> 00:07:20,960 Speaker 1: the Federal Reserve stepping in with fiscal stimulus and all 129 00:07:21,120 --> 00:07:23,520 Speaker 1: the markets come roaring back, and love to get your 130 00:07:23,920 --> 00:07:26,480 Speaker 1: thoughts right here right now as it relates to some 131 00:07:26,520 --> 00:07:30,240 Speaker 1: of these riskier assets. Sure, the way we think about 132 00:07:30,240 --> 00:07:33,520 Speaker 1: it at Data Trek is the market is discounting a 133 00:07:33,720 --> 00:07:36,960 Speaker 1: very definite the bottom, not necessarily in the economy, but 134 00:07:37,040 --> 00:07:39,880 Speaker 1: in corporate profits. So if you think about a forty 135 00:07:39,880 --> 00:07:42,480 Speaker 1: two dollar a share earnings power number for the SMP 136 00:07:42,560 --> 00:07:46,240 Speaker 1: in the back half of last year per quarter, two dollars, 137 00:07:46,800 --> 00:07:49,080 Speaker 1: markets expecting we're going to get back to those levels 138 00:07:49,080 --> 00:07:51,480 Speaker 1: in the next four quarters. So even though the economy 139 00:07:51,560 --> 00:07:53,520 Speaker 1: is going to be sluggish, we are going to get 140 00:07:53,680 --> 00:07:57,360 Speaker 1: very high levels of corporate profitability because of fiscal stimulus, 141 00:07:57,440 --> 00:08:00,840 Speaker 1: because of monetary stimulus, and because of costing, we're going 142 00:08:00,880 --> 00:08:02,800 Speaker 1: to get back to those numbers. And that's why the 143 00:08:02,840 --> 00:08:05,840 Speaker 1: markets back to its old highs, because it doesn't care 144 00:08:05,920 --> 00:08:07,760 Speaker 1: how we get that earnings number. It just cares that 145 00:08:07,800 --> 00:08:09,200 Speaker 1: we do get it, and it has a very highly 146 00:08:09,200 --> 00:08:12,280 Speaker 1: read confidence that we will. But Nick, it doesn't matter 147 00:08:12,360 --> 00:08:15,960 Speaker 1: how much stimulus you give corporations or how lenient do 148 00:08:16,000 --> 00:08:18,560 Speaker 1: you make the rules for them to get money to 149 00:08:18,640 --> 00:08:20,960 Speaker 1: tie them over. If there isn't demand for their products 150 00:08:21,040 --> 00:08:25,080 Speaker 1: from from customers who themselves are dropped, those earnings can't 151 00:08:25,080 --> 00:08:28,480 Speaker 1: be there. Come they no very good point and that's 152 00:08:28,520 --> 00:08:31,280 Speaker 1: why they change in the composition of the SMP is 153 00:08:31,320 --> 00:08:34,440 Speaker 1: so important. We're actually looking at this for clients last night. 154 00:08:34,800 --> 00:08:38,680 Speaker 1: You know, back in two thousand sixteen, technology was the SMP. 155 00:08:39,320 --> 00:08:42,319 Speaker 1: The comp number now apples to Apples thirty three. And 156 00:08:42,400 --> 00:08:46,360 Speaker 1: as we saw the second quarter earnings, you have a 157 00:08:46,400 --> 00:08:48,559 Speaker 1: whole range of tychnical companies that are really hurting, but 158 00:08:48,640 --> 00:08:52,200 Speaker 1: technology is doing extremely well. So the SMP five hundred 159 00:08:52,320 --> 00:08:55,520 Speaker 1: is kind of a unique measure of corporate profitability because 160 00:08:55,559 --> 00:08:58,520 Speaker 1: it is waiting those companies that have very high that 161 00:08:58,600 --> 00:09:02,360 Speaker 1: was a profitability even to um showing high levels of 162 00:09:02,440 --> 00:09:05,760 Speaker 1: cash flow. It values them very highly. So the F 163 00:09:05,800 --> 00:09:07,559 Speaker 1: and P is not perhaps the best measure, but it's 164 00:09:07,559 --> 00:09:09,880 Speaker 1: the one most folks follow, and the earnings are there 165 00:09:09,960 --> 00:09:12,600 Speaker 1: for the technology sector and others that aren't as affected. 166 00:09:13,800 --> 00:09:18,559 Speaker 1: So Nick, it appears that this next next round of 167 00:09:18,559 --> 00:09:21,439 Speaker 1: fiscal stimulus, you know, we didn't get it, you know, 168 00:09:21,760 --> 00:09:24,319 Speaker 1: before the recess. Now there's some talk about perhaps will 169 00:09:24,360 --> 00:09:27,040 Speaker 1: get something in September. How critical is it for the 170 00:09:27,160 --> 00:09:31,280 Speaker 1: market to get a meaningful piece of fiscal stimulus? Uh, 171 00:09:31,440 --> 00:09:35,079 Speaker 1: in the relatively near term. I mean on a scale 172 00:09:35,160 --> 00:09:37,720 Speaker 1: of one to ten, it's probably a fifteen or sixteen. 173 00:09:38,320 --> 00:09:41,840 Speaker 1: Um it's super super critical, you know, And to Bonny's 174 00:09:41,880 --> 00:09:47,320 Speaker 1: point earlier, it's it underpins that ability for aggregate earnings 175 00:09:47,480 --> 00:09:50,000 Speaker 1: to improve. You know, without that, you don't get that 176 00:09:50,080 --> 00:09:53,079 Speaker 1: part of the story. Look, I mean, you know, looking 177 00:09:53,120 --> 00:09:55,400 Speaker 1: at past cycles, you know, every cycle bottom is a 178 00:09:55,400 --> 00:09:58,600 Speaker 1: little bit different, and the biggest difference is exactly what's 179 00:09:58,600 --> 00:10:01,400 Speaker 1: going to make us come off the bottom this time around? 180 00:10:01,480 --> 00:10:03,520 Speaker 1: It the whole is so deep that the market saying 181 00:10:04,480 --> 00:10:06,959 Speaker 1: politicians have to provide the stimulus, they have no choice 182 00:10:06,960 --> 00:10:09,600 Speaker 1: as an election year, and so our uncertainty about future 183 00:10:09,600 --> 00:10:13,360 Speaker 1: earnings is actually lower than traditional bottom cycle moments when 184 00:10:13,400 --> 00:10:17,559 Speaker 1: there isn't that level of support. So Nick, you know, 185 00:10:17,679 --> 00:10:20,360 Speaker 1: what's the biggest risk here to this to this market rally? 186 00:10:23,080 --> 00:10:26,079 Speaker 1: You know, it's it's it's a great question, um. You know, 187 00:10:26,400 --> 00:10:29,599 Speaker 1: to us, the biggest risk is is a hybrid of 188 00:10:29,800 --> 00:10:33,040 Speaker 1: the policy political issue and the earnings issue. You know, 189 00:10:33,160 --> 00:10:35,920 Speaker 1: we think back to two thousand eight, for example, really 190 00:10:36,000 --> 00:10:39,120 Speaker 1: horrible quarter for UM, for the for the market, and 191 00:10:39,200 --> 00:10:41,440 Speaker 1: it came in part because there was a huge change 192 00:10:41,480 --> 00:10:44,319 Speaker 1: of government in Washington during the eight elections and we 193 00:10:44,440 --> 00:10:47,760 Speaker 1: had a real power vacuum for several months during a 194 00:10:47,880 --> 00:10:50,160 Speaker 1: period of you know, in the middle of the financial crisis. 195 00:10:50,840 --> 00:10:53,680 Speaker 1: My biggest concern is we just get that's a similar 196 00:10:53,760 --> 00:10:56,440 Speaker 1: kind of power vacuum around the election. It's not necessarily 197 00:10:56,480 --> 00:10:59,480 Speaker 1: because of anything untoward that happens in the election, but 198 00:10:59,640 --> 00:11:02,200 Speaker 1: just millions in charge in DC for a few months, 199 00:11:02,320 --> 00:11:05,040 Speaker 1: just when we get into perhaps a second wave and 200 00:11:05,600 --> 00:11:07,559 Speaker 1: real concerns about the state of the economy in the 201 00:11:07,679 --> 00:11:10,400 Speaker 1: first half of next year. So my biggest concern is 202 00:11:10,480 --> 00:11:12,920 Speaker 1: we get a power vacuum in Washington in the matter 203 00:11:13,080 --> 00:11:15,959 Speaker 1: month of the year and you end up with not 204 00:11:16,080 --> 00:11:19,440 Speaker 1: so much confidence around those corporations. As we discussed. Alright, 205 00:11:19,480 --> 00:11:22,120 Speaker 1: So Nick, if where do you think where do you 206 00:11:22,200 --> 00:11:24,439 Speaker 1: think investors should be looking in this market? Given the 207 00:11:24,520 --> 00:11:27,160 Speaker 1: move we've had given that it's been. You know, the 208 00:11:27,240 --> 00:11:30,160 Speaker 1: breath of this market isn't what most technicians or even 209 00:11:30,200 --> 00:11:32,920 Speaker 1: fundamental analysts would like to see. Where do you see 210 00:11:32,960 --> 00:11:35,400 Speaker 1: opportunities here? You know, do you take a look across 211 00:11:35,480 --> 00:11:39,000 Speaker 1: some of the risk assets. You know, right now we 212 00:11:39,080 --> 00:11:43,280 Speaker 1: are favoring cyclicals um selectively. So I'm talking about industrials 213 00:11:43,320 --> 00:11:46,360 Speaker 1: and energy first and Foremost industrials have the most ardens 214 00:11:46,440 --> 00:11:49,640 Speaker 1: leverage going into meaning they generate the most out of 215 00:11:49,679 --> 00:11:53,720 Speaker 1: incremental profits from upside surprise and revenues, and energy has 216 00:11:53,800 --> 00:11:56,520 Speaker 1: the biggest potential upside. On the revenue side, you have 217 00:11:56,559 --> 00:11:58,719 Speaker 1: a profitability to be kind of shaky just because of 218 00:11:58,760 --> 00:12:01,679 Speaker 1: commodity pricing improved of it. So circle goals to the 219 00:12:01,679 --> 00:12:03,720 Speaker 1: place we're recommending people to put in current on money. 220 00:12:03,800 --> 00:12:05,640 Speaker 1: It's going to be a hard way to make money, though. 221 00:12:06,000 --> 00:12:08,640 Speaker 1: We think circle goals will outperform over the back half 222 00:12:08,720 --> 00:12:11,040 Speaker 1: of the year, but it'll probably happen over ten random 223 00:12:11,160 --> 00:12:13,439 Speaker 1: days where they're up two percents in the markets. Flat 224 00:12:13,880 --> 00:12:15,520 Speaker 1: and a tough way to make money, but that's the 225 00:12:15,520 --> 00:12:18,319 Speaker 1: way to outperform. We don't like the financials though. The 226 00:12:18,360 --> 00:12:21,280 Speaker 1: financials are just stuck in their own private health. Yeah, 227 00:12:21,400 --> 00:12:23,040 Speaker 1: that's a great way to put it, right. I mean, 228 00:12:23,120 --> 00:12:25,480 Speaker 1: even Warren Buffett Is is deciding that he doesn't care 229 00:12:25,480 --> 00:12:28,319 Speaker 1: about the financials anymore. It's really really interesting. Did you 230 00:12:28,440 --> 00:12:33,079 Speaker 1: learn anything for the thirteen F filings? Nick, No? No 231 00:12:33,360 --> 00:12:36,280 Speaker 1: from Buffets No. I mean it's it is. It's always 232 00:12:36,320 --> 00:12:38,400 Speaker 1: fascinating to watch him because he's just so good at 233 00:12:38,480 --> 00:12:42,480 Speaker 1: what he does. But no, not really, you it's and 234 00:12:42,600 --> 00:12:44,880 Speaker 1: just more broadly from the hedge funds and what they 235 00:12:44,920 --> 00:12:47,959 Speaker 1: were doing or how hedge funds made money. So, for example, 236 00:12:48,000 --> 00:12:50,400 Speaker 1: I was dropped by Chris Rockell spying just a whole 237 00:12:50,559 --> 00:12:53,240 Speaker 1: heap of Ali Baba and like literally that's all he did. 238 00:12:53,600 --> 00:12:56,640 Speaker 1: He just made that one, if I can say, ballsy trade, 239 00:12:56,880 --> 00:13:00,240 Speaker 1: and you know obviously it's paying off. Yeah. No, I 240 00:13:00,320 --> 00:13:03,040 Speaker 1: mean Baba's boba is an interesting one. Evaluation is so 241 00:13:03,240 --> 00:13:06,400 Speaker 1: cheap relative and China tech generally is so cheap relative 242 00:13:06,440 --> 00:13:08,400 Speaker 1: to US tech that you kind of want to think 243 00:13:08,400 --> 00:13:10,480 Speaker 1: there's a catch up trade. And we're certainly seeing some 244 00:13:10,559 --> 00:13:12,440 Speaker 1: of the catch up trade in the broader Chinese market 245 00:13:12,480 --> 00:13:16,079 Speaker 1: today with the stimulus last night. Are you seeing Nick 246 00:13:16,120 --> 00:13:18,880 Speaker 1: so t extent? You're looking at more cyclical names is 247 00:13:18,920 --> 00:13:20,679 Speaker 1: that suggests you're going to fund that with some of 248 00:13:20,720 --> 00:13:24,800 Speaker 1: the tech names that have a performed Yes. I mean 249 00:13:24,880 --> 00:13:26,560 Speaker 1: the way the way we think about it is if 250 00:13:26,600 --> 00:13:28,400 Speaker 1: you if you want to underweight one sector, it's got 251 00:13:28,480 --> 00:13:30,559 Speaker 1: to be financials. There's just nothing going on there, and 252 00:13:30,600 --> 00:13:33,199 Speaker 1: then you can dumbell it out between the industrial's energy 253 00:13:33,280 --> 00:13:35,800 Speaker 1: and the tech and have a reasonable shot of that 254 00:13:35,920 --> 00:13:40,240 Speaker 1: performing that. The banks are just just in a horrible space. Nick. 255 00:13:40,360 --> 00:13:42,520 Speaker 1: We will catch up with you again very soon and 256 00:13:42,880 --> 00:13:44,800 Speaker 1: take the temperature of the banks and the cyclicals and 257 00:13:44,960 --> 00:13:47,480 Speaker 1: lots lots of more. This market is going nowhere as 258 00:13:47,679 --> 00:13:49,599 Speaker 1: as it seems anyway, it's going to just continue to 259 00:13:49,600 --> 00:13:52,760 Speaker 1: go and hire Nichols as co founder of data Check Research. 260 00:13:52,920 --> 00:13:57,199 Speaker 1: Fantastic notes every day, really and get in touch with 261 00:13:57,480 --> 00:14:00,120 Speaker 1: Nick if if you want to subscribe to the our 262 00:14:00,240 --> 00:14:03,520 Speaker 1: research once again, our thanks to Nick Cholas. I don't 263 00:14:03,520 --> 00:14:05,319 Speaker 1: want to bring you a headline across the Bloomberg. Just 264 00:14:05,360 --> 00:14:08,880 Speaker 1: a few moments ago, New York City gyms can open 265 00:14:09,240 --> 00:14:11,880 Speaker 1: August twenty four, which is one week from today, with 266 00:14:12,280 --> 00:14:15,959 Speaker 1: thirty three percent capacity, so third capacity. Yeah, and in 267 00:14:16,080 --> 00:14:18,400 Speaker 1: fact it's more than New York City. It's it's it's 268 00:14:18,480 --> 00:14:20,480 Speaker 1: New York State Gym's, so gym's all over the state 269 00:14:20,520 --> 00:14:24,120 Speaker 1: can open August as long as people wear masks and 270 00:14:24,600 --> 00:14:27,400 Speaker 1: they are not full beyond thirty three percent capacity, which 271 00:14:27,640 --> 00:14:30,840 Speaker 1: was so beginners or people who haven't come to the 272 00:14:30,920 --> 00:14:33,360 Speaker 1: gym in a long time quite happy for fewer people 273 00:14:33,400 --> 00:14:35,560 Speaker 1: to be in the gym. Yeah. Absolutely, that's not to 274 00:14:35,640 --> 00:14:38,520 Speaker 1: suggest that I myself will be going back. That might 275 00:14:38,640 --> 00:14:41,400 Speaker 1: not be for coronavirus reasons, that might be for other reasons. 276 00:14:43,920 --> 00:14:48,840 Speaker 1: New research suggests glaring divergences between a m D and Intel, 277 00:14:49,160 --> 00:14:52,440 Speaker 1: something that maybe didn't seems so obvious before. Let's bring 278 00:14:52,480 --> 00:14:55,320 Speaker 1: in a strus and senior semiconductor and harder analyst for 279 00:14:55,360 --> 00:14:58,440 Speaker 1: Bloomberg Intelligence to tell us about this new research. And 280 00:14:58,560 --> 00:15:01,480 Speaker 1: and you know there were are rivals. But what does 281 00:15:01,480 --> 00:15:03,680 Speaker 1: this new research tell us about A m D and 282 00:15:03,760 --> 00:15:08,120 Speaker 1: intell how they do their business and their products. Good 283 00:15:08,160 --> 00:15:10,840 Speaker 1: morning morning, Paul, Thank you for having me. So we've 284 00:15:10,920 --> 00:15:14,280 Speaker 1: done some work. That study that suggests that there's a 285 00:15:14,360 --> 00:15:19,760 Speaker 1: structural landscape shift going on in the microposter industry across 286 00:15:19,920 --> 00:15:24,120 Speaker 1: PCs and across servers between mb and Intel. M D 287 00:15:24,360 --> 00:15:28,120 Speaker 1: appears to be on the front foot and will continue 288 00:15:28,160 --> 00:15:31,920 Speaker 1: to gain share in our view through twenty and one, 289 00:15:32,720 --> 00:15:35,120 Speaker 1: and in the data center their share could as much 290 00:15:35,160 --> 00:15:38,120 Speaker 1: as triple from sort of the five percent range to 291 00:15:38,200 --> 00:15:42,240 Speaker 1: the fi percent range. UM and Intel, on the other hand, 292 00:15:43,080 --> 00:15:47,000 Speaker 1: will continue to lose share. Um Intel has a wider 293 00:15:47,120 --> 00:15:51,320 Speaker 1: variety of products and certainly is larger, but that may 294 00:15:51,360 --> 00:15:54,200 Speaker 1: not help it at all over the next couple of years, 295 00:15:54,280 --> 00:15:56,880 Speaker 1: particularly as the cloud becomes a bigger piece of the 296 00:15:56,960 --> 00:16:01,520 Speaker 1: pie and more powerful piece of the pie. So, you know, 297 00:16:01,680 --> 00:16:04,480 Speaker 1: you look at the evaluations, and you look at how 298 00:16:04,600 --> 00:16:07,520 Speaker 1: the stocks have performed here to date. And while it 299 00:16:07,640 --> 00:16:09,880 Speaker 1: might suggest, you know, getting a lot of calls from 300 00:16:09,920 --> 00:16:13,160 Speaker 1: clients about okay, is this you know, another set up 301 00:16:13,200 --> 00:16:17,680 Speaker 1: for long Intel shorty m D for example, but fundamentals 302 00:16:17,720 --> 00:16:22,480 Speaker 1: are suggesting exactly exactly the opposite. So on, you know, 303 00:16:22,640 --> 00:16:25,640 Speaker 1: to this tech lay person, when I think chips, I 304 00:16:25,720 --> 00:16:29,640 Speaker 1: think Intel. What's happened to Intel in terms of you know, 305 00:16:29,760 --> 00:16:32,040 Speaker 1: losing share here? They seem to have lost kind of 306 00:16:32,080 --> 00:16:35,640 Speaker 1: their you know there, I guess their new product Mojo, 307 00:16:35,720 --> 00:16:37,640 Speaker 1: their technology Mojo. What's what do you think is at 308 00:16:37,640 --> 00:16:41,160 Speaker 1: the route there? You know, you can attribute it to 309 00:16:41,720 --> 00:16:43,840 Speaker 1: a bunch of different factors. For I mean, if you 310 00:16:43,960 --> 00:16:49,160 Speaker 1: look at their technology transitions transitions from our transistor shrinkage perspective, 311 00:16:49,760 --> 00:16:52,240 Speaker 1: they were late to full key n animeter, they're late 312 00:16:52,320 --> 00:16:57,200 Speaker 1: to ten animeter and now seven animeters delayed. Now considered that, 313 00:16:57,520 --> 00:17:00,320 Speaker 1: you know, the technology shrinkage isn't the be all. Lend 314 00:17:00,360 --> 00:17:04,000 Speaker 1: All and More's law is in fact slowing. But smaller 315 00:17:04,080 --> 00:17:06,879 Speaker 1: the transistors, more the transistors on the chip, more the 316 00:17:06,960 --> 00:17:11,480 Speaker 1: transistors on the chip, chip is more powerful, uh, quite simplistically, 317 00:17:11,840 --> 00:17:14,119 Speaker 1: and at the at the same time, more transistors on 318 00:17:14,200 --> 00:17:17,520 Speaker 1: the chip produces the cost for transistion purely because of scaling. 319 00:17:18,080 --> 00:17:21,639 Speaker 1: And if you keep prices same or you reduce it 320 00:17:21,680 --> 00:17:24,440 Speaker 1: at a lower rate, you gross margins also can expand. 321 00:17:25,000 --> 00:17:28,320 Speaker 1: But m D has certainly taken the upper hand in 322 00:17:28,440 --> 00:17:30,840 Speaker 1: this and is as much as a node or node 323 00:17:30,920 --> 00:17:34,960 Speaker 1: and a half ahead of Intel, and Intel's sort of 324 00:17:35,119 --> 00:17:39,320 Speaker 1: slow in its transitions. It has a wider ice cream shop, 325 00:17:39,359 --> 00:17:42,480 Speaker 1: if you may, you know it has a wider variety 326 00:17:42,520 --> 00:17:45,920 Speaker 1: of flavors, wider variety of toppings and sauces and stuff 327 00:17:46,000 --> 00:17:48,280 Speaker 1: that go with it. But at the end of the day, 328 00:17:48,440 --> 00:17:51,240 Speaker 1: you know, you still have to have a quality venilla, strawberry, 329 00:17:51,280 --> 00:17:55,480 Speaker 1: and chocolate in order to build a more fitting ices 330 00:17:55,480 --> 00:17:59,320 Speaker 1: Sunday for your clients. I'm loving these analogies. And so 331 00:18:00,040 --> 00:18:05,879 Speaker 1: what do customers want? Do they want the maybe a 332 00:18:05,960 --> 00:18:09,439 Speaker 1: little bit more old fashioned flavor is you know, at 333 00:18:09,480 --> 00:18:13,520 Speaker 1: a good price point that are very very reliable, you know, 334 00:18:13,760 --> 00:18:15,680 Speaker 1: or do they want the new stuff? I mean, people 335 00:18:15,760 --> 00:18:17,959 Speaker 1: were quite happy to wait for Apple to catch up 336 00:18:17,960 --> 00:18:20,359 Speaker 1: with other people on on their software and so on. 337 00:18:20,680 --> 00:18:24,560 Speaker 1: They didn't demand that app will be first on everything. Yeah, 338 00:18:24,640 --> 00:18:26,280 Speaker 1: that's a that's a great point. So one of the 339 00:18:27,200 --> 00:18:30,040 Speaker 1: that's actually a fantastic question because the cloud has upended, 340 00:18:30,800 --> 00:18:32,920 Speaker 1: upended the demand for the ice cream, if you may. 341 00:18:33,400 --> 00:18:37,840 Speaker 1: If you look at the variety of computing workloads that 342 00:18:37,960 --> 00:18:41,159 Speaker 1: the cloud has brought to bear, everything has become large. 343 00:18:41,280 --> 00:18:45,560 Speaker 1: Everything has now has scale. So you want the specialized 344 00:18:45,600 --> 00:18:48,720 Speaker 1: ice cream Sunday um and the demand for that is 345 00:18:48,840 --> 00:18:52,679 Speaker 1: high relative to you know, corporate I demand scale, if 346 00:18:52,720 --> 00:18:56,320 Speaker 1: you may, and they vanillas, strawberry and chocolate. So if 347 00:18:56,359 --> 00:18:58,320 Speaker 1: you look at what the m D has to offer, 348 00:18:58,760 --> 00:19:02,000 Speaker 1: maybe it doesn't have all the flavors um in the 349 00:19:02,320 --> 00:19:06,920 Speaker 1: in the ice cream shop, and maybe it's applicability to cloun. 350 00:19:07,000 --> 00:19:10,520 Speaker 1: The workloads, if you may, is predominantly in the Minila 351 00:19:10,640 --> 00:19:14,800 Speaker 1: chocolate and strawberry at a better place. No one listening 352 00:19:14,840 --> 00:19:16,760 Speaker 1: to this segment is going to have any idea what 353 00:19:16,840 --> 00:19:19,240 Speaker 1: we're talking about at this point. What about the cones? 354 00:19:19,440 --> 00:19:23,760 Speaker 1: What's the cones on? But the but the ice cream 355 00:19:23,800 --> 00:19:28,280 Speaker 1: machine at Intel is broken, right, So that's the that's 356 00:19:28,320 --> 00:19:30,840 Speaker 1: the that's the key part. At the end of the day, 357 00:19:31,040 --> 00:19:33,200 Speaker 1: three years from now, five years from now, you have 358 00:19:33,400 --> 00:19:36,480 Speaker 1: to be able to turn these out upun intended UM 359 00:19:36,600 --> 00:19:40,320 Speaker 1: at a better UM, with better quality, and at a 360 00:19:40,400 --> 00:19:44,440 Speaker 1: better price point UM. As a result, when you build 361 00:19:44,480 --> 00:19:47,960 Speaker 1: these massive servers and you know Facebook and Amazon, Microsoft 362 00:19:48,000 --> 00:19:50,840 Speaker 1: are buying the servers ten thousand at a clip or 363 00:19:50,960 --> 00:19:54,399 Speaker 1: fifty at a clip, you have to have better performance 364 00:19:54,880 --> 00:19:59,080 Speaker 1: and better pricing. And I think the applicability of m 365 00:19:59,160 --> 00:20:03,120 Speaker 1: D is in ceasing, and the applicability of Intel products 366 00:20:03,440 --> 00:20:05,800 Speaker 1: is right over the next couple of years is decreasing. 367 00:20:06,320 --> 00:20:08,600 Speaker 1: On INTRONI Boston, thanks so much for joining us on 368 00:20:08,680 --> 00:20:12,200 Speaker 1: Introney Boston, senior semi conductor and harder analysts, part time 369 00:20:12,280 --> 00:20:15,360 Speaker 1: ice cream analyst from Blueberg Intelligence joining us here talking 370 00:20:15,400 --> 00:20:18,720 Speaker 1: to us about the ostensibly the semi conductor, you know, 371 00:20:18,840 --> 00:20:21,120 Speaker 1: the chip business. But I kind of, uh, kind of went. 372 00:20:21,680 --> 00:20:23,560 Speaker 1: I took a different little route there with his analogy, 373 00:20:23,600 --> 00:20:25,399 Speaker 1: but that works. So we got h A M D 374 00:20:25,640 --> 00:20:28,680 Speaker 1: kind of hitting on all cylinders. Intel from our product perspective, 375 00:20:28,800 --> 00:20:33,639 Speaker 1: some concern that's per on its research. Sally Bakewell of 376 00:20:33,680 --> 00:20:37,000 Speaker 1: Bloomberg News had a story several days ago, really fascinating. 377 00:20:37,280 --> 00:20:41,359 Speaker 1: Basically the gist does stimulus has helped Amazon and Visa 378 00:20:41,440 --> 00:20:45,200 Speaker 1: borrow at record low rates, yet small companies faced tighter 379 00:20:45,440 --> 00:20:49,399 Speaker 1: conditions threatening the recovery to dig deep on that store 380 00:20:49,440 --> 00:20:53,240 Speaker 1: and the phenomena. Were welcome to have Ted Kaneig, President 381 00:20:53,280 --> 00:20:57,040 Speaker 1: and CEO of Monroe Capital, UH nine point three billion 382 00:20:57,119 --> 00:21:00,960 Speaker 1: dollars under under management. Ted, thanks for joining us here, 383 00:21:01,320 --> 00:21:04,240 Speaker 1: so give us a sense of kind of the the 384 00:21:04,400 --> 00:21:09,200 Speaker 1: mid market company out there. Is it easy or difficult 385 00:21:09,280 --> 00:21:12,160 Speaker 1: for them to access capital here to try to make 386 00:21:12,240 --> 00:21:14,960 Speaker 1: it through the pandemic, much less to find growth capital? 387 00:21:17,040 --> 00:21:20,400 Speaker 1: Thanks for asking. It's tough. Um. You know, we we specialize. 388 00:21:20,440 --> 00:21:22,800 Speaker 1: We have five hundred and eight middle market companies in 389 00:21:22,840 --> 00:21:28,040 Speaker 1: our portfolio that we lend money to, everything from million 390 00:21:28,119 --> 00:21:31,720 Speaker 1: or revenue up to about five million revenue. These companies 391 00:21:31,760 --> 00:21:34,359 Speaker 1: are not viewed as investment grade, so they don't have 392 00:21:34,480 --> 00:21:37,760 Speaker 1: the ability to go into the marketplace and issue bonds 393 00:21:37,920 --> 00:21:40,720 Speaker 1: or high yield debt that the government has been backing. 394 00:21:41,119 --> 00:21:43,680 Speaker 1: So these companies have really been on their own and 395 00:21:44,040 --> 00:21:47,520 Speaker 1: uh left to their own devices. They rely on the 396 00:21:47,600 --> 00:21:51,760 Speaker 1: asset value or the enterprise value of of their own 397 00:21:51,800 --> 00:21:54,600 Speaker 1: companies in order to borrow money. And once they've borrowed 398 00:21:55,200 --> 00:21:58,639 Speaker 1: capital that the banks believe, you know, as an amount 399 00:21:58,720 --> 00:22:02,840 Speaker 1: sufficient to cover their assets, whether it's accounts, receivable, inventory, equipment, 400 00:22:03,520 --> 00:22:06,040 Speaker 1: or real estate, they don't really have any other options. 401 00:22:06,160 --> 00:22:09,840 Speaker 1: The government has not allowed these companies to have any 402 00:22:10,040 --> 00:22:13,240 Speaker 1: any good options at their disposal to generate liquidity. And 403 00:22:13,320 --> 00:22:18,199 Speaker 1: that's really what's causing main street America. Well, so explain 404 00:22:18,280 --> 00:22:20,879 Speaker 1: that a little bit, because A, isn't that what you're for? 405 00:22:21,119 --> 00:22:25,880 Speaker 1: And B should the government be funding these companies? Well, 406 00:22:26,280 --> 00:22:28,800 Speaker 1: the government has put up the p p P program 407 00:22:29,280 --> 00:22:31,720 Speaker 1: and what the government has done is they've injected liquidity 408 00:22:32,160 --> 00:22:35,360 Speaker 1: in order to buy bonds of the very large investment 409 00:22:35,400 --> 00:22:39,399 Speaker 1: grade companies. Um Woral Lender. We focus on buyouts and 410 00:22:39,480 --> 00:22:42,640 Speaker 1: transactions from mid market companies. We do it based upon 411 00:22:42,800 --> 00:22:46,040 Speaker 1: collateral value. We lend up to what you know these 412 00:22:46,080 --> 00:22:48,080 Speaker 1: companies as a private lender, we lend up to what 413 00:22:48,200 --> 00:22:53,359 Speaker 1: these companies can can can rightfully borrow, and we do 414 00:22:53,520 --> 00:22:56,920 Speaker 1: it through institutional LPs. Right but still I'm still not 415 00:22:57,640 --> 00:23:01,760 Speaker 1: sure about what the complaint is or arding the government. 416 00:23:01,920 --> 00:23:05,879 Speaker 1: So they can apply for p p P if they 417 00:23:06,000 --> 00:23:09,320 Speaker 1: meet the criteria, and they can borrow from banks if 418 00:23:09,400 --> 00:23:12,280 Speaker 1: they meet the criteria, and if they don't, they also 419 00:23:12,359 --> 00:23:16,600 Speaker 1: have the option of getting extra cash from you guys. 420 00:23:16,680 --> 00:23:20,760 Speaker 1: So well, I'm just lost. Just explained the problem of 421 00:23:20,800 --> 00:23:26,080 Speaker 1: the government. What's what's happening is that the government has 422 00:23:26,119 --> 00:23:30,040 Speaker 1: been buying in order to provide liquidity into the market. 423 00:23:30,640 --> 00:23:34,040 Speaker 1: They've been buying um corporate bonds. They've been on a 424 00:23:34,080 --> 00:23:36,800 Speaker 1: corporate bond buying program for quite a while, and that's 425 00:23:36,840 --> 00:23:39,800 Speaker 1: part of the U. S. Treasury and UH that provides 426 00:23:39,920 --> 00:23:43,639 Speaker 1: capital to the company. Lenders like us need the same liquidity. 427 00:23:43,760 --> 00:23:46,439 Speaker 1: I need that liquidity to make loans to a lot 428 00:23:46,480 --> 00:23:50,000 Speaker 1: of the companies, and in times like this, many LPs, 429 00:23:50,040 --> 00:23:54,639 Speaker 1: whether they're pension funds or endowments or foundations, don't have 430 00:23:54,920 --> 00:23:58,960 Speaker 1: the ability to fund um into the investments. So have 431 00:23:59,119 --> 00:24:01,479 Speaker 1: there been many are you saying that many of your 432 00:24:01,520 --> 00:24:04,920 Speaker 1: portfolio companies are at risk all or have gone bankrupt. 433 00:24:05,160 --> 00:24:11,360 Speaker 1: That is us a fact, not bankrupt because of business interruptions. 434 00:24:11,760 --> 00:24:15,159 Speaker 1: A lot of middle market companies UM, particularly those in 435 00:24:15,240 --> 00:24:22,360 Speaker 1: the areas of leisure, hotel, airlines, restaurants, UM, have had 436 00:24:23,119 --> 00:24:25,800 Speaker 1: significant challenges. That's due to closure. It's not due to 437 00:24:25,880 --> 00:24:28,159 Speaker 1: bad businesses, not due to bad management. It's just due 438 00:24:28,200 --> 00:24:31,000 Speaker 1: to the economy being closed to them. When the economy 439 00:24:31,080 --> 00:24:33,560 Speaker 1: opens up, you know, those companies that are still around, 440 00:24:33,920 --> 00:24:37,200 Speaker 1: hopefully we'll turn it around, but it's getting its covering 441 00:24:37,240 --> 00:24:41,000 Speaker 1: the bridge from here to there. Where the commercial banks 442 00:24:41,040 --> 00:24:43,240 Speaker 1: and all of this they're they're the primary lender to 443 00:24:43,320 --> 00:24:45,879 Speaker 1: these types of companies. How are they performing? Are they 444 00:24:46,160 --> 00:24:50,040 Speaker 1: making their balance? It's available. Uh, it's hard, you know. 445 00:24:50,240 --> 00:24:54,399 Speaker 1: And in times of stress, banks tend to look inward 446 00:24:54,840 --> 00:24:57,239 Speaker 1: and they don't tend to put money to work. UM. 447 00:24:57,800 --> 00:25:00,760 Speaker 1: This is no different than the last crisis. Right now, 448 00:25:01,200 --> 00:25:04,399 Speaker 1: banks are very concerned about their portfolios. They look at 449 00:25:04,440 --> 00:25:08,119 Speaker 1: the bank stocks across the board are down, losses are up. 450 00:25:08,520 --> 00:25:11,560 Speaker 1: The market believes that there's more losses to come in 451 00:25:11,640 --> 00:25:16,520 Speaker 1: banks portfolios, So banks do not tend to be very aggressive. 452 00:25:16,520 --> 00:25:18,439 Speaker 1: If you look at what's happening in the government right now. 453 00:25:18,880 --> 00:25:21,480 Speaker 1: The government's trying to push the main street lending program, 454 00:25:21,880 --> 00:25:24,880 Speaker 1: and the way that program works is banks are required 455 00:25:24,920 --> 00:25:28,560 Speaker 1: to underwrite a portion of those loans, call it five percent. 456 00:25:29,160 --> 00:25:32,359 Speaker 1: Banks have not embraced the government's main street lending program 457 00:25:32,400 --> 00:25:34,200 Speaker 1: because they don't want to take the exposure right now 458 00:25:34,520 --> 00:25:36,920 Speaker 1: of lending to these companies. Yeah, I mean, it's a 459 00:25:36,920 --> 00:25:40,400 Speaker 1: it's a horrible situation. But for some of the companies, 460 00:25:40,800 --> 00:25:43,080 Speaker 1: would you blame them? I mean, what percentage of the 461 00:25:43,359 --> 00:25:45,320 Speaker 1: portfolio companies you deal with do you think will be 462 00:25:45,400 --> 00:25:49,280 Speaker 1: around any year's time. That's a great question. You know, 463 00:25:49,359 --> 00:25:51,000 Speaker 1: I can't blame the lenders. I mean, I'm in the 464 00:25:51,080 --> 00:25:54,440 Speaker 1: same position. You know, We've got to make sure we 465 00:25:54,480 --> 00:25:57,920 Speaker 1: don't lose money for our shareholders in our investors. So 466 00:25:58,280 --> 00:26:02,119 Speaker 1: it's a it's a fine balance between you know, making 467 00:26:02,400 --> 00:26:06,760 Speaker 1: uh good loans and being responsible to your shareholders and 468 00:26:06,840 --> 00:26:10,000 Speaker 1: your investors and then providing relief. You know, right now 469 00:26:10,080 --> 00:26:12,879 Speaker 1: there's a liquidity need. A lot of these companies don't 470 00:26:12,960 --> 00:26:16,280 Speaker 1: have places to go to get the liquidity need. You know, 471 00:26:16,359 --> 00:26:21,639 Speaker 1: the p p P programs were basically um payroll protection 472 00:26:21,800 --> 00:26:25,160 Speaker 1: for employees, and you know, those were ninety day programs 473 00:26:25,240 --> 00:26:28,720 Speaker 1: to cover payroll. Many of those programs now that that 474 00:26:28,840 --> 00:26:30,840 Speaker 1: program came out in May, many of those programs in 475 00:26:30,920 --> 00:26:32,560 Speaker 1: you know, August, September and hour we're going to come 476 00:26:32,600 --> 00:26:35,840 Speaker 1: to an end. And there's a lot of outcry on 477 00:26:35,960 --> 00:26:38,600 Speaker 1: these smaller companies that took the p p P program 478 00:26:39,840 --> 00:26:42,879 Speaker 1: that now we're in trouble. Yeah, And I mean some 479 00:26:43,000 --> 00:26:45,320 Speaker 1: restaurant ours were saying this even before they took p 480 00:26:45,440 --> 00:26:47,560 Speaker 1: PP loans. Some of them didn't even take it because 481 00:26:47,600 --> 00:26:49,920 Speaker 1: of this, you know, I mean, there was no guarantee 482 00:26:49,920 --> 00:26:51,520 Speaker 1: that business is going to be back to normal three 483 00:26:51,560 --> 00:26:54,600 Speaker 1: months later. And if there wasn't, why would you rehire 484 00:26:54,680 --> 00:26:56,520 Speaker 1: people that were then going to have to go again. 485 00:26:56,840 --> 00:26:59,080 Speaker 1: Ted kind of get President and CEO of Monroe Acompatal, 486 00:26:59,240 --> 00:27:03,320 Speaker 1: Thank you for joining. Thanks for listening to Bloomberg Markets podcast. 487 00:27:03,520 --> 00:27:06,800 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts 488 00:27:07,000 --> 00:27:10,160 Speaker 1: or whatever a podcast platform you prefer. I'm Bonnie Quinn. 489 00:27:10,359 --> 00:27:13,040 Speaker 1: I'm on Twitter at Bonnie Quinn, and I'm Paul Sweeney. 490 00:27:13,040 --> 00:27:15,639 Speaker 1: I'm on Twitter at pt Sweeney. Before the podcast, you 491 00:27:15,720 --> 00:27:18,080 Speaker 1: can always catch us worldwide at Bloomberg Radio,