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 --> 00:00:09,240 Speaker 1: we bring you interviews from CEOs, A, market pros, and 4 00:00:09,400 --> 00:00:12,799 Speaker 1: Bloomberg experts, along with essential market moving news kind of 5 00:00:12,800 --> 00:00:16,320 Speaker 1: Bloomberg Markets Podcast on Apple podcast or wherever you listen 6 00:00:16,360 --> 00:00:20,439 Speaker 1: to podcasts, and on Bloomberg dot com. So there's a 7 00:00:20,440 --> 00:00:23,560 Speaker 1: lot of trepidation about what would happened with China GDP data, 8 00:00:23,600 --> 00:00:26,960 Speaker 1: of course, China being one of the test cases for 9 00:00:27,000 --> 00:00:29,280 Speaker 1: what happens to an economy when it's going through COVID. 10 00:00:29,720 --> 00:00:32,280 Speaker 1: So we got the third quarter GDP data over the 11 00:00:32,280 --> 00:00:34,640 Speaker 1: weekend and year over year it was up four point 12 00:00:34,720 --> 00:00:38,320 Speaker 1: nine percent, which was quite the miss from what economists 13 00:00:38,320 --> 00:00:40,240 Speaker 1: were looking for, which was how ive and a half percent. 14 00:00:40,560 --> 00:00:42,760 Speaker 1: It was, however, better than the previous quarter three point 15 00:00:42,840 --> 00:00:45,400 Speaker 1: two percent. But really with China, you have to take 16 00:00:45,440 --> 00:00:47,320 Speaker 1: a step back and talk to somebody who knows how 17 00:00:47,360 --> 00:00:49,560 Speaker 1: all of this is put together, and no one better 18 00:00:49,720 --> 00:00:53,280 Speaker 1: to do that than Leland Miller, China Beige Book International founder. 19 00:00:53,600 --> 00:00:56,760 Speaker 1: So Leland four point nine percent doesn't sound like a 20 00:00:56,800 --> 00:00:59,160 Speaker 1: bad rate of growth for an economy that's been hit 21 00:00:59,320 --> 00:01:03,560 Speaker 1: extremely ours by this coronavirus. Explained to us why this 22 00:01:03,640 --> 00:01:06,920 Speaker 1: is a shocker, Well, you know, this is a really 23 00:01:07,000 --> 00:01:10,040 Speaker 1: important number, but it's a really important number for political 24 00:01:10,040 --> 00:01:13,720 Speaker 1: reasons more than economic reasons. So you have China saying 25 00:01:13,760 --> 00:01:16,320 Speaker 1: to the world, look at our response, look at how 26 00:01:16,360 --> 00:01:18,440 Speaker 1: well we've done. We're back to year on year growth. 27 00:01:18,600 --> 00:01:20,920 Speaker 1: And look at everybody else they haven't done done as well. 28 00:01:21,280 --> 00:01:23,200 Speaker 1: You know, we're someone to look up to. Now the 29 00:01:23,240 --> 00:01:25,480 Speaker 1: difference between four point nine and five point five. I 30 00:01:25,600 --> 00:01:28,480 Speaker 1: understand that the street is is agitating over over the 31 00:01:28,520 --> 00:01:31,320 Speaker 1: mis here, but this number is very realistic to start with. 32 00:01:31,800 --> 00:01:34,039 Speaker 1: You know, if you look down at what our data 33 00:01:34,080 --> 00:01:36,640 Speaker 1: are showing, you're not You're still not seeing that year 34 00:01:36,720 --> 00:01:41,080 Speaker 1: and year improvement. You're seeing tremendous month on month, quarter 35 00:01:41,080 --> 00:01:43,920 Speaker 1: and quarter improvement. Things are certainly getting better, but it's 36 00:01:44,000 --> 00:01:45,640 Speaker 1: very important for them to have a year and year 37 00:01:45,760 --> 00:01:49,320 Speaker 1: number uh and and improve improvement and uh and So 38 00:01:49,360 --> 00:01:52,080 Speaker 1: that's what they're that's what they're currently announcing, right and 39 00:01:52,080 --> 00:01:55,000 Speaker 1: now we also got retail sales. For example, you're over 40 00:01:55,040 --> 00:01:59,920 Speaker 1: Europe three point but still you know, down seven in 41 00:02:00,040 --> 00:02:03,360 Speaker 1: September in terms of year, today's year over years so 42 00:02:03,400 --> 00:02:06,240 Speaker 1: a lot of mixed data. So give us your impression 43 00:02:06,240 --> 00:02:08,440 Speaker 1: of how the Chinese economy is doing. So as you say, 44 00:02:08,720 --> 00:02:11,120 Speaker 1: you know, all the data is pretty managed. But at 45 00:02:11,160 --> 00:02:15,040 Speaker 1: the same time China does seem to be growing. Is 46 00:02:15,040 --> 00:02:17,640 Speaker 1: that the case consumers do seem to be spending. China 47 00:02:17,720 --> 00:02:20,840 Speaker 1: does seem to be getting over the hit from the coronavirus. Sure, 48 00:02:21,320 --> 00:02:23,640 Speaker 1: things are getting better, you know, it's still a supply 49 00:02:23,919 --> 00:02:26,200 Speaker 1: side recovery. If you look at what's happening on the 50 00:02:26,240 --> 00:02:29,440 Speaker 1: output side that has been with driving GDP. You know, 51 00:02:29,480 --> 00:02:33,040 Speaker 1: there was a better September figure for for for retail sales. 52 00:02:33,080 --> 00:02:36,200 Speaker 1: But if you look at retail sales UH from the 53 00:02:36,240 --> 00:02:37,679 Speaker 1: beginning of the year to now and compare it to 54 00:02:37,800 --> 00:02:40,040 Speaker 1: last year, it's it is like you said, down over seven. 55 00:02:40,639 --> 00:02:43,520 Speaker 1: So this is not a consumption driven economy. This is 56 00:02:43,520 --> 00:02:47,200 Speaker 1: not a demand recovery. This is the Chinese government deciding 57 00:02:47,240 --> 00:02:48,840 Speaker 1: that they need to get their numbers up, and so 58 00:02:48,880 --> 00:02:52,520 Speaker 1: they're making factories work harder and produce more stuff. There's 59 00:02:52,560 --> 00:02:54,560 Speaker 1: something to be said for getting the growth number up 60 00:02:54,600 --> 00:02:56,640 Speaker 1: to some degree, but I think the idea that people 61 00:02:56,639 --> 00:02:59,639 Speaker 1: are really worried about whether this is four percent or 62 00:02:59,680 --> 00:03:03,119 Speaker 1: three per center five percent. It's not a terribly healthy recovery. 63 00:03:03,360 --> 00:03:06,280 Speaker 1: It's just a much more healthy, dynamic and recovery than 64 00:03:06,320 --> 00:03:08,680 Speaker 1: we're seeing in the rest of the world. So Leland's 65 00:03:08,720 --> 00:03:11,600 Speaker 1: how much of that sort of unhealthiness that you're talking 66 00:03:11,600 --> 00:03:14,720 Speaker 1: about is related to coronavirus and how much was coming anyway, 67 00:03:14,720 --> 00:03:17,119 Speaker 1: because it was always a question mark about how much 68 00:03:17,160 --> 00:03:20,200 Speaker 1: the trade war had impact to China's economy and just 69 00:03:20,240 --> 00:03:23,200 Speaker 1: the flow of goods and services between China and the US. 70 00:03:24,560 --> 00:03:27,360 Speaker 1: Right Well, I think what what the coronavirus did is 71 00:03:27,360 --> 00:03:30,520 Speaker 1: it put China in a box uh and forced it 72 00:03:30,560 --> 00:03:34,840 Speaker 1: to use tools like property like heavy infrastructure stimulus to 73 00:03:34,840 --> 00:03:37,520 Speaker 1: get the growth number back up, which was something that 74 00:03:37,560 --> 00:03:39,720 Speaker 1: it didn't want to do and it hadn't been doing 75 00:03:39,720 --> 00:03:42,000 Speaker 1: for the past several years. When you look at our 76 00:03:42,080 --> 00:03:44,800 Speaker 1: data and you look at official data, you see that 77 00:03:45,000 --> 00:03:49,640 Speaker 1: since seen when they were very worried about growth metrics 78 00:03:49,680 --> 00:03:51,960 Speaker 1: in the run up to the Party Congress, things that 79 00:03:52,080 --> 00:03:55,440 Speaker 1: actually slowed down over time, and yet the government did 80 00:03:55,480 --> 00:03:58,440 Speaker 1: not go back to this let's juice, let's build bridges 81 00:03:58,440 --> 00:04:01,640 Speaker 1: to nowhere, Let's let's build all these infrastructure developments. No 82 00:04:01,680 --> 00:04:04,120 Speaker 1: one wants to be in they had basically pushed away 83 00:04:04,160 --> 00:04:07,000 Speaker 1: from that because they are legitimately worried about debt. What 84 00:04:07,080 --> 00:04:09,040 Speaker 1: I think coronavirus did is pushed them into such a 85 00:04:09,040 --> 00:04:10,880 Speaker 1: corner that they said, look, we're gonna have to do, 86 00:04:10,920 --> 00:04:12,320 Speaker 1: We're gonna have to do and we're gonna have this 87 00:04:12,360 --> 00:04:15,640 Speaker 1: growth number up. So it is unhealthy levels of debt 88 00:04:15,680 --> 00:04:18,920 Speaker 1: that are building us up. It's he's the same dynamic 89 00:04:19,000 --> 00:04:20,400 Speaker 1: scene and much of the rest of the world, but 90 00:04:20,440 --> 00:04:23,240 Speaker 1: you know, China has a much bigger problem this historically. So, uh, 91 00:04:23,440 --> 00:04:25,479 Speaker 1: there is a recovery, that's good, but yes, the way 92 00:04:25,480 --> 00:04:28,920 Speaker 1: we're getting there is not healthy at all. You have 93 00:04:29,080 --> 00:04:32,280 Speaker 1: said the China made some major colandestine changes to its 94 00:04:32,279 --> 00:04:36,359 Speaker 1: economic data reporting over the weekend. What were these clandestine changes? 95 00:04:36,400 --> 00:04:39,240 Speaker 1: It all sounds very token dagger. Yeah, we've been we've 96 00:04:39,240 --> 00:04:42,040 Speaker 1: been having a field day on on our Twitter feed, uh, 97 00:04:42,200 --> 00:04:44,960 Speaker 1: talking about this. But look, you know, if you look 98 00:04:44,960 --> 00:04:47,360 Speaker 1: at fixed asset investment, which is the proxy that the 99 00:04:47,440 --> 00:04:51,520 Speaker 1: Chinese used for for for investment, you see that, uh, 100 00:04:51,640 --> 00:04:56,000 Speaker 1: in twenty there was a number for the first three quarters, 101 00:04:56,160 --> 00:04:57,840 Speaker 1: and then you see a number for the first three 102 00:04:57,920 --> 00:05:02,599 Speaker 1: quarters of the number in nine was three trillion yuan 103 00:05:02,920 --> 00:05:05,960 Speaker 1: higher than in but when the when Beijing put out 104 00:05:06,000 --> 00:05:08,600 Speaker 1: their data last night, they said that things were up 105 00:05:08,640 --> 00:05:12,040 Speaker 1: eight percent, So we were parsing through the how was 106 00:05:12,120 --> 00:05:14,400 Speaker 1: this a typo? Why would they possibly do it? What 107 00:05:14,440 --> 00:05:17,640 Speaker 1: we found is that essentially the Chinese government has reserved 108 00:05:17,640 --> 00:05:21,159 Speaker 1: the right to no longer report figures regularly. What they're 109 00:05:21,160 --> 00:05:23,920 Speaker 1: gonna do is they're going to rejigger the figures as 110 00:05:23,960 --> 00:05:26,839 Speaker 1: new inputs come in. But they're not gonna announce what 111 00:05:26,880 --> 00:05:29,160 Speaker 1: those new inputs are. They're not going to announce what 112 00:05:29,160 --> 00:05:32,240 Speaker 1: the changing metrics are. They're not gonna announce what the 113 00:05:32,240 --> 00:05:34,840 Speaker 1: components of this sort of index their building is. They're 114 00:05:34,880 --> 00:05:39,240 Speaker 1: simply going to report a number and that number will 115 00:05:39,279 --> 00:05:42,800 Speaker 1: be new based on the needed changes every year. So 116 00:05:42,800 --> 00:05:45,560 Speaker 1: you're gonna have, you know, you have basically three trillion 117 00:05:45,640 --> 00:05:49,400 Speaker 1: yuan they made go away in their fixed asset investment data. 118 00:05:49,720 --> 00:05:52,159 Speaker 1: To report a year on your increase, it doesn't make 119 00:05:52,200 --> 00:05:54,960 Speaker 1: any sense at all, but they've reserved the right to 120 00:05:55,000 --> 00:05:58,000 Speaker 1: do this. Going forward, Leland, what will you be looking 121 00:05:58,000 --> 00:05:59,840 Speaker 1: for next out of China? In order to give us 122 00:05:59,880 --> 00:06:02,520 Speaker 1: an indication of you know, not just the health of 123 00:06:02,520 --> 00:06:04,719 Speaker 1: the Chinese economy, but what that would mean for the 124 00:06:04,720 --> 00:06:08,039 Speaker 1: health of the US economy at this point. Well, you know, 125 00:06:08,120 --> 00:06:10,360 Speaker 1: I think on the Chinese side, you've got to look 126 00:06:10,400 --> 00:06:13,000 Speaker 1: at the retail and how it's recovering over time, and 127 00:06:13,040 --> 00:06:15,280 Speaker 1: not just not just for for one or two months. 128 00:06:15,760 --> 00:06:18,279 Speaker 1: But look, China's recovery is going to be based on 129 00:06:18,320 --> 00:06:19,880 Speaker 1: what happens in the rest of the world. If the 130 00:06:19,920 --> 00:06:22,760 Speaker 1: rest of the world does not get coronavirus contained, we 131 00:06:23,200 --> 00:06:26,400 Speaker 1: dipped down into a second wave. That China's data are 132 00:06:26,400 --> 00:06:28,720 Speaker 1: going to be hurt. Its recovery is going to be 133 00:06:28,839 --> 00:06:30,440 Speaker 1: hurt because it's not divorced from the rest of the 134 00:06:30,480 --> 00:06:33,720 Speaker 1: world no matter what's doing back home. Leland, thank you 135 00:06:33,839 --> 00:06:36,479 Speaker 1: so much, as always love to get you on because 136 00:06:37,160 --> 00:06:39,920 Speaker 1: you do all of your research as well, and you 137 00:06:39,920 --> 00:06:43,720 Speaker 1: know you you gather the data just like many economists do. 138 00:06:43,920 --> 00:06:46,680 Speaker 1: But on the ground, Leland mill or China Beige Book 139 00:06:49,400 --> 00:06:52,520 Speaker 1: Duncan donuts. Remember like to make the claim that America 140 00:06:52,640 --> 00:06:54,840 Speaker 1: runs on Duncan, and I'm sure it was true a 141 00:06:54,880 --> 00:06:56,840 Speaker 1: lot of the time. Well, here is the man who 142 00:06:56,920 --> 00:07:00,279 Speaker 1: Duncan run on. Robert Olsenberg is the former CEO of 143 00:07:00,320 --> 00:07:02,560 Speaker 1: what is now Duncan Brand's used to be dunkn Donuts 144 00:07:02,560 --> 00:07:05,840 Speaker 1: and author of Around the Corner to Around the World, 145 00:07:05,960 --> 00:07:10,320 Speaker 1: A Dozen Lessons I learned running Duncan Donuts. Robert looking 146 00:07:10,320 --> 00:07:13,400 Speaker 1: at Duncan Donuts, now, how does it resemble the company 147 00:07:13,440 --> 00:07:17,480 Speaker 1: you first took over? Were very different? But I when 148 00:07:17,480 --> 00:07:20,760 Speaker 1: I joined the company as CEO is twenty five years old, 149 00:07:20,760 --> 00:07:23,560 Speaker 1: a cocky kid, freshwood and n b A. And we 150 00:07:23,720 --> 00:07:25,880 Speaker 1: had something on the order of a hundred stores. I 151 00:07:25,880 --> 00:07:28,280 Speaker 1: think now today we have something on the order nearing 152 00:07:28,320 --> 00:07:33,600 Speaker 1: twelve thousand in forty one countries. It's been transformational, pretty phenomenal. Well, 153 00:07:33,640 --> 00:07:36,160 Speaker 1: a good leader is needed in order to scale that 154 00:07:36,320 --> 00:07:40,960 Speaker 1: kind of business, particularly you know, something that you could 155 00:07:41,000 --> 00:07:43,559 Speaker 1: call a generic enough business. I mean, I know Duncan 156 00:07:43,600 --> 00:07:45,800 Speaker 1: Donuts are very very different from other types of donuts 157 00:07:45,840 --> 00:07:47,880 Speaker 1: out there, but there are a lot of donat chains. 158 00:07:48,280 --> 00:07:50,800 Speaker 1: So how did you do that? What kind of leadership 159 00:07:50,840 --> 00:07:53,360 Speaker 1: skills does it take to scale a business like that? 160 00:07:55,160 --> 00:07:59,680 Speaker 1: A great team, a clear strategy. When we got it right, 161 00:08:00,280 --> 00:08:03,440 Speaker 1: we were very successful. When I got it wrong, we 162 00:08:03,520 --> 00:08:06,920 Speaker 1: suffered the consequences. Luckily, in the thirty five years we 163 00:08:07,000 --> 00:08:10,040 Speaker 1: got more years right than we did get wrong. Uh, 164 00:08:10,040 --> 00:08:13,720 Speaker 1: and a great product and that commitment I think basically 165 00:08:14,240 --> 00:08:18,360 Speaker 1: to do and to create a set of services and 166 00:08:18,400 --> 00:08:21,360 Speaker 1: goods better than the competition, and that was always kept 167 00:08:21,400 --> 00:08:26,120 Speaker 1: us agile and kept us creative and growing and changing. 168 00:08:26,480 --> 00:08:30,800 Speaker 1: As the time change, consumers and competition are constantly changing, 169 00:08:30,800 --> 00:08:33,320 Speaker 1: and companies have to change as well. But those are 170 00:08:33,360 --> 00:08:37,360 Speaker 1: the ingredients I think that made for superior performance for us. Obviously, 171 00:08:37,520 --> 00:08:40,280 Speaker 1: it's a different set of challenges every year, every month, 172 00:08:40,320 --> 00:08:43,720 Speaker 1: every day in business, right, but a pandemic is something 173 00:08:43,760 --> 00:08:46,520 Speaker 1: that doesn't come along too often. If you were running 174 00:08:46,640 --> 00:08:51,000 Speaker 1: Duncan now and you saw what was happening all sorts 175 00:08:51,040 --> 00:08:53,960 Speaker 1: of restaurant owners not being able to save their businesses, 176 00:08:54,280 --> 00:08:57,400 Speaker 1: you know, big businesses depending on PPP funds in order 177 00:08:57,440 --> 00:09:01,560 Speaker 1: to to continue, what would you do? I mean, how 178 00:09:01,559 --> 00:09:05,280 Speaker 1: do you survive something that's just completely all encompassing like that. 179 00:09:06,240 --> 00:09:10,120 Speaker 1: I never had to face anything quite like an worldwide pandemic, 180 00:09:10,160 --> 00:09:14,959 Speaker 1: but did have to face certain cataclysmucker existential threats the 181 00:09:15,080 --> 00:09:18,920 Speaker 1: very survival of the business. I think. Uh. I'd comment 182 00:09:19,040 --> 00:09:21,360 Speaker 1: that the pandemic as I see it, and its impact 183 00:09:21,400 --> 00:09:23,640 Speaker 1: on the restaurant industry, really is a tale of two 184 00:09:23,679 --> 00:09:26,679 Speaker 1: different stories. On the one hand, the first story is 185 00:09:26,760 --> 00:09:30,760 Speaker 1: kind of devastating. It. Basically, the National Restaurant Association says 186 00:09:30,800 --> 00:09:34,560 Speaker 1: that they expect something on the order of fift all 187 00:09:34,640 --> 00:09:39,559 Speaker 1: restaurants open, and six fifty restaurants may be permanently closed 188 00:09:39,840 --> 00:09:42,640 Speaker 1: when the dust clears. That's painful. There may be a 189 00:09:42,679 --> 00:09:45,800 Speaker 1: million and a half or more people out of work. 190 00:09:46,120 --> 00:09:49,520 Speaker 1: That's also disastrous and painful. On the other hand, the 191 00:09:49,559 --> 00:09:52,480 Speaker 1: second tale is a lot more optimistic. Those firms that 192 00:09:52,559 --> 00:09:55,520 Speaker 1: invested early, which is one of the elements of facing 193 00:09:55,520 --> 00:09:58,760 Speaker 1: a crisis of pre preparation, that invested in convenience and 194 00:09:58,800 --> 00:10:02,880 Speaker 1: delivering on all plat forms. However, consumers wanted to access 195 00:10:02,960 --> 00:10:09,679 Speaker 1: the product drive through windows, home delivery, online ordering, understanding 196 00:10:09,720 --> 00:10:14,560 Speaker 1: the application of the social network that exists in social media. 197 00:10:14,920 --> 00:10:18,679 Speaker 1: Those companies that invested, in my view, will not only 198 00:10:18,800 --> 00:10:22,080 Speaker 1: survive the pandemic, but will thrive. Companies like Duncan that 199 00:10:22,120 --> 00:10:26,959 Speaker 1: have invested and those kinds of um new developments, pre 200 00:10:27,080 --> 00:10:32,520 Speaker 1: preparing continually looking to delight their customers better than the competition, 201 00:10:32,840 --> 00:10:35,600 Speaker 1: will be the ones on the other side. Unfortunately, it's 202 00:10:35,600 --> 00:10:37,880 Speaker 1: going to be some pain left by the independence and 203 00:10:37,920 --> 00:10:40,400 Speaker 1: a lot of people out of work. Hopefully, those chains 204 00:10:40,440 --> 00:10:42,640 Speaker 1: that survive will be able to absorb those, but it 205 00:10:42,760 --> 00:10:46,400 Speaker 1: only will be over time. Fore warrant is were armed. 206 00:10:47,000 --> 00:10:50,960 Speaker 1: These days, there's a lot of quote unquote business heroes 207 00:10:51,160 --> 00:10:54,880 Speaker 1: in Silicon Valley that you know, people look to some 208 00:10:55,040 --> 00:10:59,640 Speaker 1: unlikely characters for inspiration. Who inspires you in management these days? 209 00:10:59,720 --> 00:11:03,640 Speaker 1: Robert Well, he's no longer actively engaged in the management 210 00:11:03,640 --> 00:11:07,640 Speaker 1: of his business. He now runs a major philanthropic activity. 211 00:11:07,679 --> 00:11:11,360 Speaker 1: But the person I'm most inspired by Bill and Melinda Gates. 212 00:11:11,440 --> 00:11:16,200 Speaker 1: I find them to be extraordinary citizens, extraordinary people, and 213 00:11:16,240 --> 00:11:19,920 Speaker 1: I marvel at their brilliance and at their commitment to mankind. 214 00:11:20,800 --> 00:11:23,760 Speaker 1: And all those CEOs that are currently in the CEO 215 00:11:23,920 --> 00:11:28,080 Speaker 1: chair and in the boardroom chair, who do you admire? Well, 216 00:11:29,040 --> 00:11:32,520 Speaker 1: admire the people that I'm closest to and the ones 217 00:11:32,559 --> 00:11:34,400 Speaker 1: that I had the privilege of being able to serve 218 00:11:34,440 --> 00:11:36,440 Speaker 1: with day in and day out. So I was on 219 00:11:36,480 --> 00:11:39,040 Speaker 1: the board of Sonic, and I find Cliff Hudson, who 220 00:11:39,160 --> 00:11:42,320 Speaker 1: was a longtime twenty years CEO of Sonic Restaurants, an 221 00:11:42,360 --> 00:11:48,640 Speaker 1: outstanding leader. I also found Um Goodness. His name escaves 222 00:11:48,679 --> 00:11:51,839 Speaker 1: me for the moment. How Patrick Doyle from Dominoes was 223 00:11:51,880 --> 00:11:55,839 Speaker 1: an extraordinary leader and ranked among the best leaders by 224 00:11:55,880 --> 00:12:02,880 Speaker 1: CEO magazine for years. Both both of them were extraordinary leaders, agile, kind, smart, 225 00:12:03,240 --> 00:12:06,160 Speaker 1: and just thoughtful people. Robert, I'll have to ask you 226 00:12:06,200 --> 00:12:10,079 Speaker 1: about what your thoughts are as we approach the election, 227 00:12:10,280 --> 00:12:14,199 Speaker 1: and you know, very very divided country. Um, you know, 228 00:12:14,280 --> 00:12:18,800 Speaker 1: many issues plaguing the country, and it just seems to 229 00:12:18,840 --> 00:12:22,800 Speaker 1: be sometimes just difficult to even talk about it because 230 00:12:23,000 --> 00:12:26,760 Speaker 1: you know, finding middle ground or finding sort of anybody 231 00:12:26,760 --> 00:12:29,760 Speaker 1: willing to engage is just a little bit difficult. Well, 232 00:12:29,880 --> 00:12:32,920 Speaker 1: what's the first priority that the next president, whether it's 233 00:12:33,000 --> 00:12:36,719 Speaker 1: Donald Trump or a Biden administration, what's what should be 234 00:12:36,760 --> 00:12:42,360 Speaker 1: the first priority in running this country? Thoughtful planning and 235 00:12:42,720 --> 00:12:44,960 Speaker 1: setting a moral tone for the country and bring us 236 00:12:45,000 --> 00:12:47,920 Speaker 1: back together. I think that our country can only take 237 00:12:47,960 --> 00:12:50,200 Speaker 1: so much chaos at any one point in time. So 238 00:12:50,240 --> 00:12:52,280 Speaker 1: a good leader has to be very clear and crisp 239 00:12:52,320 --> 00:12:55,160 Speaker 1: about both the strategy, what the country wants to be, 240 00:12:55,280 --> 00:12:58,000 Speaker 1: what it wants to have, and the four or five 241 00:12:58,040 --> 00:13:00,480 Speaker 1: specific leavers that are most important for all in order 242 00:13:00,520 --> 00:13:03,160 Speaker 1: to be able to bridge scarce resources. So whether it's 243 00:13:03,200 --> 00:13:06,560 Speaker 1: a company of family or a country, and that's a 244 00:13:06,679 --> 00:13:10,640 Speaker 1: critical element. And the second element is to thround yourself 245 00:13:10,640 --> 00:13:13,439 Speaker 1: for the best people, complementary set of skills that will 246 00:13:13,480 --> 00:13:15,920 Speaker 1: help you accomplish that, and then you have to communicate 247 00:13:16,040 --> 00:13:19,120 Speaker 1: all the constituencies to mobilize them behind it. That works 248 00:13:19,120 --> 00:13:21,200 Speaker 1: on a company, and it works on a country, and 249 00:13:21,240 --> 00:13:23,920 Speaker 1: we need a leader who's got those abilities. And you know, 250 00:13:23,960 --> 00:13:26,439 Speaker 1: it certainly sounds pretty easy when you say it, Roberts. 251 00:13:26,480 --> 00:13:28,600 Speaker 1: So I hope that whoever starts to run the country 252 00:13:28,600 --> 00:13:31,080 Speaker 1: next reads your book. It's just out and it's a 253 00:13:31,080 --> 00:13:34,360 Speaker 1: fantastic read. It's called Around the Corner to Around the World. 254 00:13:34,440 --> 00:13:38,520 Speaker 1: A dozen lessons I learned running Duncan Donuts and you 255 00:13:38,520 --> 00:13:40,720 Speaker 1: can have a donut with every lesson there for for 256 00:13:40,800 --> 00:13:44,200 Speaker 1: your dozen lessons. Robert Rosen very former CEO of Duncan 257 00:13:44,280 --> 00:13:47,160 Speaker 1: Brands and of course Duncan Donuts as it was. Then, 258 00:13:47,360 --> 00:13:51,600 Speaker 1: thank you for joining us. Just a wonderful conversation. Let's 259 00:13:51,600 --> 00:13:54,040 Speaker 1: bring in our J Gallo. He's senior portfolio manage your 260 00:13:54,040 --> 00:13:57,400 Speaker 1: head of the Municipal Bond group and delighted to have 261 00:13:57,520 --> 00:14:00,400 Speaker 1: him are J. I have to ask you how much 262 00:14:00,520 --> 00:14:03,600 Speaker 1: time have you given to the competing tax bands? Um. 263 00:14:04,400 --> 00:14:08,679 Speaker 1: You know, obviously we're looking at more of a likelihood 264 00:14:08,679 --> 00:14:10,400 Speaker 1: that there's going to be a President Biden and the 265 00:14:10,400 --> 00:14:13,520 Speaker 1: Biden administration at the moment. But it's not fully you know, 266 00:14:14,200 --> 00:14:16,880 Speaker 1: for sure, but he's definitely ahead by a long shot. 267 00:14:16,880 --> 00:14:19,080 Speaker 1: And some of the polls and you have to have 268 00:14:19,120 --> 00:14:21,080 Speaker 1: done a little bit of work on it, what have 269 00:14:21,120 --> 00:14:25,680 Speaker 1: you decided, Well that the tax plans of the two 270 00:14:25,720 --> 00:14:29,640 Speaker 1: candidates are are vastly different. Um. You know, I don't 271 00:14:30,800 --> 00:14:33,360 Speaker 1: I agree with you that though that the polls make 272 00:14:33,440 --> 00:14:37,600 Speaker 1: it pretty likely that President Biden is coming as opposed 273 00:14:37,640 --> 00:14:41,280 Speaker 1: to being vice President Biden, And I would just suggest 274 00:14:41,320 --> 00:14:43,120 Speaker 1: that it's just not based in the cake yet. I 275 00:14:43,120 --> 00:14:44,800 Speaker 1: think that this election is going to be closer than 276 00:14:44,800 --> 00:14:47,320 Speaker 1: a lot of the polls suggest. Remember it does come 277 00:14:47,320 --> 00:14:50,000 Speaker 1: down to state by state, and I think there are 278 00:14:50,040 --> 00:14:54,040 Speaker 1: a number of toss up states where President Trump UM 279 00:14:54,280 --> 00:14:56,480 Speaker 1: may have some of his voters being under sampled and 280 00:14:56,520 --> 00:14:58,960 Speaker 1: not showing up in the traditional polls. I know that's 281 00:14:59,280 --> 00:15:01,520 Speaker 1: somewhat of a of a partisan view, but I'm just 282 00:15:01,560 --> 00:15:05,520 Speaker 1: saying objectively, that's what happened in We saw a lot 283 00:15:05,640 --> 00:15:08,600 Speaker 1: of Trump support that was not accurately assessed by the 284 00:15:08,640 --> 00:15:12,360 Speaker 1: polls leading up to it, and the shy Trump supporter too. Well. 285 00:15:12,480 --> 00:15:14,240 Speaker 1: Given that, then on the fact that your head of 286 00:15:14,280 --> 00:15:17,040 Speaker 1: the ministal bond group, are there states for your sort 287 00:15:17,040 --> 00:15:20,200 Speaker 1: of you know, making making that better or loading up 288 00:15:20,200 --> 00:15:22,960 Speaker 1: the boat a little bit, well, I would say this. 289 00:15:23,200 --> 00:15:25,280 Speaker 1: I would say I think that the greatest impact on 290 00:15:25,440 --> 00:15:29,600 Speaker 1: muni's from the election outcome would be in the event 291 00:15:29,640 --> 00:15:34,000 Speaker 1: of a blue blue wave. So Biden wins Capitol hialth, House, 292 00:15:34,040 --> 00:15:37,680 Speaker 1: Senate are completely in Democratic hands. That would open the 293 00:15:37,720 --> 00:15:41,000 Speaker 1: door for UH for an increase back to thirty nine 294 00:15:41,040 --> 00:15:43,000 Speaker 1: point six for the top marginal tax rate, which is 295 00:15:43,000 --> 00:15:46,240 Speaker 1: where I was before the Trump tax cuts. I would 296 00:15:46,280 --> 00:15:48,560 Speaker 1: also impose a minimum thirty nine point six on all 297 00:15:48,600 --> 00:15:50,880 Speaker 1: investment income for people who make more than a million 298 00:15:50,920 --> 00:15:57,040 Speaker 1: dollars UH. That on average would increase demand for municipal bonds. Also, 299 00:15:57,160 --> 00:16:00,640 Speaker 1: banks who shed munis in droves after their corporate tax 300 00:16:00,720 --> 00:16:03,600 Speaker 1: rate went to from thirty five, they would be facing 301 00:16:03,600 --> 00:16:07,720 Speaker 1: a tax right under the Biden tax plan. Also Polish communis, 302 00:16:07,880 --> 00:16:10,680 Speaker 1: so I think munis would would fare relatively well compared 303 00:16:10,720 --> 00:16:14,360 Speaker 1: to other fixed income in a blue wave undeniably UM 304 00:16:14,400 --> 00:16:17,520 Speaker 1: And you'd also probably get a bigger stimulus plan. So 305 00:16:17,560 --> 00:16:20,280 Speaker 1: the bigger stimulus plan will help all state and local governments. 306 00:16:20,440 --> 00:16:23,680 Speaker 1: Which ones would move the most, the cheapest ones? Uh? 307 00:16:23,720 --> 00:16:25,520 Speaker 1: You know? So so states of like New Jersey in 308 00:16:25,560 --> 00:16:29,120 Speaker 1: Illinois where spreads are wide, you think their bonds might 309 00:16:29,160 --> 00:16:31,960 Speaker 1: actually fare pretty well in a relative sense in a 310 00:16:32,000 --> 00:16:35,040 Speaker 1: Biden victory. So it does seem like there's at least, 311 00:16:35,080 --> 00:16:38,040 Speaker 1: you know, some kind of chance of a nice little 312 00:16:38,160 --> 00:16:40,560 Speaker 1: pay day here. How are you hedging for that? Even 313 00:16:40,560 --> 00:16:42,320 Speaker 1: if you don't believe that that's what's going to happen, 314 00:16:42,480 --> 00:16:45,480 Speaker 1: or you're you know, you're more you're more than convinced 315 00:16:45,520 --> 00:16:49,360 Speaker 1: either way, there must be some hedging trades that you've 316 00:16:49,360 --> 00:16:52,720 Speaker 1: been putting on. You know. I think that markets are 317 00:16:52,720 --> 00:16:56,400 Speaker 1: pretty bad with binary risks. Um, you know, zero one 318 00:16:56,440 --> 00:16:59,640 Speaker 1: outcome is just not easy to perfectly price in and 319 00:16:59,800 --> 00:17:03,240 Speaker 1: being of the election. Uh So in terms of just 320 00:17:03,640 --> 00:17:07,160 Speaker 1: adding duration or reducing duration, or adding munis or reducing communis, 321 00:17:07,600 --> 00:17:09,680 Speaker 1: uh you know, you you you need to have a 322 00:17:09,720 --> 00:17:12,160 Speaker 1: little more confidence than than fifty fifty. So it makes 323 00:17:12,160 --> 00:17:15,439 Speaker 1: it tough. Since I think the chances of this election 324 00:17:15,480 --> 00:17:18,919 Speaker 1: being indeterminate come election day and maybe in fact being contested, 325 00:17:19,240 --> 00:17:21,440 Speaker 1: I think that's greater than the markets are currently pricing. 326 00:17:21,720 --> 00:17:24,760 Speaker 1: So if you're really going to try to hedge, you know, 327 00:17:24,800 --> 00:17:26,720 Speaker 1: to your question, I think you would need to go 328 00:17:26,800 --> 00:17:30,200 Speaker 1: into options markets. Okay, there's not a lot of options 329 00:17:30,200 --> 00:17:36,880 Speaker 1: on munis, makes it really challenging. I think, uh, one 330 00:17:36,920 --> 00:17:40,359 Speaker 1: important fact here, if we have a contested election, market 331 00:17:40,800 --> 00:17:44,480 Speaker 1: risk access don't like it, treasure gilds probably go down. Ultimately, 332 00:17:44,880 --> 00:17:48,640 Speaker 1: regardless of outcome, that event will fade and we will 333 00:17:48,680 --> 00:17:51,600 Speaker 1: know who the winner is. Biden would be probably more 334 00:17:51,640 --> 00:17:55,200 Speaker 1: bullish for munis. Trump would be somewhat less bullish formmunities. 335 00:17:55,240 --> 00:17:57,800 Speaker 1: But on average, we're no matter what happens, we're going 336 00:17:57,840 --> 00:18:00,440 Speaker 1: to get a stimulus plan. The question of sizing in 337 00:18:00,560 --> 00:18:03,160 Speaker 1: time is still open. In fact, we're still talking about 338 00:18:03,160 --> 00:18:04,720 Speaker 1: it before the election. I just doubt that that's going 339 00:18:04,760 --> 00:18:08,040 Speaker 1: to happen. And how much states and local governments get 340 00:18:08,040 --> 00:18:12,800 Speaker 1: as well, of course, absolutely extraordinarily different. Um r J. 341 00:18:13,000 --> 00:18:15,919 Speaker 1: How are you trading the coronavirus in the various states? 342 00:18:15,960 --> 00:18:18,720 Speaker 1: Obviously Wisconsin is just in trouble right now. We had 343 00:18:19,280 --> 00:18:22,159 Speaker 1: Icago's marriage coming out and saying that you know, she 344 00:18:22,240 --> 00:18:25,800 Speaker 1: wants to avoid lockdowns, but it's getting to that tipping 345 00:18:25,800 --> 00:18:30,160 Speaker 1: point and she absolutely will if necessary. Are you doing 346 00:18:30,200 --> 00:18:33,080 Speaker 1: any kind of municipal or you know, trades related to 347 00:18:33,119 --> 00:18:36,439 Speaker 1: the coronavirus across the States. Well, the coronavirus has had 348 00:18:36,440 --> 00:18:40,480 Speaker 1: a huge impact on municipal fixed income across states, locals 349 00:18:40,600 --> 00:18:44,560 Speaker 1: and revenue bond sector. I would say we, as our 350 00:18:44,600 --> 00:18:48,440 Speaker 1: investment group, our MUNI effort, we have been pretty cautious 351 00:18:48,480 --> 00:18:52,360 Speaker 1: on g os UM for the one primary reason gios 352 00:18:52,400 --> 00:18:55,879 Speaker 1: didn't blow out that much relative to the overall triple 353 00:18:55,960 --> 00:18:59,440 Speaker 1: A MUNI scale during the onset of the COVID crisis. Meanwhile, 354 00:18:59,520 --> 00:19:04,280 Speaker 1: revenue on like airports bonds backed by hotel taxes areas 355 00:19:04,320 --> 00:19:08,600 Speaker 1: that were very heavily impacted by the COVID shock due 356 00:19:08,640 --> 00:19:11,560 Speaker 1: to travel plummeting for example. That's where we've looked for 357 00:19:11,600 --> 00:19:14,560 Speaker 1: opportunities because that's where the risk premiums blew out and 358 00:19:14,600 --> 00:19:18,640 Speaker 1: bonds became very cheap. As far as the o's are concerned, UM, 359 00:19:18,720 --> 00:19:22,080 Speaker 1: we haven't been playing coronavirus regionally all that much. We 360 00:19:22,200 --> 00:19:25,440 Speaker 1: have been playing the coronavirus recovery in our in our 361 00:19:25,480 --> 00:19:29,120 Speaker 1: revenue bond sectors. So we've added to airports for example. 362 00:19:29,680 --> 00:19:32,880 Speaker 1: We've also we have some overweight positions in senior care 363 00:19:32,920 --> 00:19:35,240 Speaker 1: living centers which have been heavily impacted by this. But 364 00:19:35,280 --> 00:19:37,359 Speaker 1: there's a lot of good survivors in there, and if 365 00:19:37,400 --> 00:19:39,320 Speaker 1: we can pick them, we get a nice wind. So 366 00:19:39,600 --> 00:19:42,879 Speaker 1: I think every MUNI investor worth worth their salt is 367 00:19:42,880 --> 00:19:45,840 Speaker 1: spending a lot of time on coronavirus, not only geographically, 368 00:19:46,119 --> 00:19:48,400 Speaker 1: but from a sector standpoint. And on the latter we've 369 00:19:48,400 --> 00:19:51,960 Speaker 1: been much more active than playing the geographies. So interesting, 370 00:19:52,040 --> 00:19:54,600 Speaker 1: Or j thank you for that insight into how your 371 00:19:54,600 --> 00:19:57,600 Speaker 1: portfolio managers are looking at all of this. Or Gallo 372 00:19:57,720 --> 00:19:59,960 Speaker 1: is senior portfolio manager and head of the Municipal Bomb. 373 00:20:00,040 --> 00:20:03,560 Speaker 1: The group manages almost twelve billion dollars, but the whole 374 00:20:04,160 --> 00:20:08,040 Speaker 1: UH company has nearly six billion dollars in assets under management, 375 00:20:08,080 --> 00:20:10,120 Speaker 1: so a loss to a lot to look through there, 376 00:20:10,160 --> 00:20:12,520 Speaker 1: But then there's a lot of municipal bonds out there 377 00:20:12,560 --> 00:20:17,840 Speaker 1: as well. It's time now to talk deals. It has 378 00:20:17,880 --> 00:20:20,600 Speaker 1: been quite the year in many many different ways. Let's 379 00:20:20,600 --> 00:20:24,360 Speaker 1: bring in Rob Brown, CEO of Lincoln International. So, Rob, 380 00:20:24,400 --> 00:20:26,560 Speaker 1: we've had so many deals this year. I mean today 381 00:20:26,600 --> 00:20:29,520 Speaker 1: obviously there's an early ten billion dollar old stock deal 382 00:20:29,560 --> 00:20:33,480 Speaker 1: in the shale field, but talk to us generally about 383 00:20:33,520 --> 00:20:38,440 Speaker 1: the appetite for companies getting together this year. Well, the 384 00:20:38,560 --> 00:20:43,520 Speaker 1: appetite right now is incredibly strong. Um. We obviously went 385 00:20:43,520 --> 00:20:46,360 Speaker 1: through a period earlier this year when the economy shut 386 00:20:46,440 --> 00:20:49,720 Speaker 1: down and you saw a huge fall off in deals, 387 00:20:49,840 --> 00:20:54,240 Speaker 1: And what we've seen coming out of that is companies 388 00:20:54,280 --> 00:20:56,760 Speaker 1: that have a good COVID story to tell, meaning they 389 00:20:56,800 --> 00:21:01,440 Speaker 1: either performed well during the economic slowdown or they've bounced 390 00:21:01,440 --> 00:21:04,240 Speaker 1: back or their viewed as a sector that is going 391 00:21:04,320 --> 00:21:09,280 Speaker 1: to maybe even more favorable post COVID. Those companies are 392 00:21:09,320 --> 00:21:12,679 Speaker 1: out for sale. And what we're seeing is as investors, 393 00:21:12,720 --> 00:21:17,960 Speaker 1: both strategic and financial, are aggressively putting money into those businesses, 394 00:21:18,160 --> 00:21:22,320 Speaker 1: and in many cases, we're seeing valuations of those businesses 395 00:21:22,520 --> 00:21:25,399 Speaker 1: at the same or even better than pre COVID levels. 396 00:21:26,119 --> 00:21:28,960 Speaker 1: So that's an interesting, you know, part of the discussion 397 00:21:29,160 --> 00:21:33,159 Speaker 1: for me. Why are prices holding up? I mean, you know, 398 00:21:33,240 --> 00:21:36,480 Speaker 1: prices for almost everything are you know, are not holding 399 00:21:36,520 --> 00:21:39,040 Speaker 1: up the way they were pre COVID. And and and 400 00:21:39,119 --> 00:21:42,520 Speaker 1: yet it seems that for companies there isn't that much 401 00:21:42,640 --> 00:21:46,040 Speaker 1: of a discount of COVID discount being built into these prices. 402 00:21:46,240 --> 00:21:50,000 Speaker 1: What am I missing? So? I think it's two things. One, 403 00:21:50,080 --> 00:21:53,800 Speaker 1: I think it's classic supply and demand. So much capital 404 00:21:53,880 --> 00:21:56,719 Speaker 1: was raised over the last five years, particularly in the 405 00:21:56,760 --> 00:22:01,080 Speaker 1: private equity world, but but also corporations. Going into the downturn, 406 00:22:01,400 --> 00:22:04,800 Speaker 1: you had stockpiles of cash, so you had capital that 407 00:22:04,920 --> 00:22:07,280 Speaker 1: wanted to be put to work in acquiring companies that 408 00:22:07,480 --> 00:22:10,320 Speaker 1: for a period of time during this past year, it 409 00:22:10,400 --> 00:22:12,800 Speaker 1: was unable to be put to work. So you have 410 00:22:12,920 --> 00:22:15,879 Speaker 1: the demand to put capital to work, and then you 411 00:22:15,960 --> 00:22:18,959 Speaker 1: have kind of a natural selection. The companies that are 412 00:22:18,960 --> 00:22:21,000 Speaker 1: coming to market right now are the best companies. As 413 00:22:21,040 --> 00:22:23,400 Speaker 1: I said, they're the ones that showed growth during the downturn. 414 00:22:23,440 --> 00:22:26,080 Speaker 1: They're the ones that are in resilience sectors that were 415 00:22:26,080 --> 00:22:28,800 Speaker 1: proven to be essential. So I think as a result 416 00:22:28,880 --> 00:22:31,399 Speaker 1: of that, you still have more money that wants to 417 00:22:31,400 --> 00:22:33,560 Speaker 1: be put to work in buying companies than there are 418 00:22:33,640 --> 00:22:36,600 Speaker 1: high quality companies to buy, and that supplying demand has 419 00:22:36,760 --> 00:22:42,240 Speaker 1: kept prices very elevated. What about people trying to negotiate 420 00:22:42,320 --> 00:22:44,399 Speaker 1: stock for deals. I mean, we definitely saw that that 421 00:22:44,480 --> 00:22:47,560 Speaker 1: set off back in March. Obviously we've recovered a loss 422 00:22:47,640 --> 00:22:50,359 Speaker 1: of ground, but at the same time, is it more 423 00:22:50,400 --> 00:22:52,560 Speaker 1: beneficial for companies to try and do an old stock 424 00:22:52,640 --> 00:22:54,919 Speaker 1: deal or a major portion of the deal in stock. 425 00:22:56,119 --> 00:22:58,520 Speaker 1: I think that's very companies specific. I think to the 426 00:22:58,560 --> 00:23:02,400 Speaker 1: extent companies field stock is still a little undervalued, they 427 00:23:02,440 --> 00:23:04,480 Speaker 1: tend to not want to use stock. I think to 428 00:23:04,560 --> 00:23:08,800 Speaker 1: the extent companies feel like, hey, my stock is fairly valued. Uh, 429 00:23:08,960 --> 00:23:11,240 Speaker 1: they want to use it. So we are seeing it 430 00:23:11,440 --> 00:23:13,800 Speaker 1: be used, but we're not seeing it being used in 431 00:23:14,200 --> 00:23:18,480 Speaker 1: a materially different way than it was pre COVID election. 432 00:23:19,280 --> 00:23:22,040 Speaker 1: So there is a very strong possibility that both the 433 00:23:22,080 --> 00:23:25,720 Speaker 1: White House and Congress turn blue on November three and 434 00:23:25,840 --> 00:23:29,840 Speaker 1: that tax policy will change, including the capital gains tax policy. 435 00:23:30,160 --> 00:23:32,679 Speaker 1: Are you seeing people actually come to market with their 436 00:23:32,720 --> 00:23:35,879 Speaker 1: business because they don't want to have to face paying 437 00:23:35,880 --> 00:23:39,000 Speaker 1: what they might have to pay pay in tax if 438 00:23:39,040 --> 00:23:42,720 Speaker 1: they wait until there is a potential Biden presidency to 439 00:23:42,800 --> 00:23:47,320 Speaker 1: sell their business. Yes, we are definitely seeing that an Interestingly, 440 00:23:47,440 --> 00:23:50,840 Speaker 1: as I said, it's become a very hot m and 441 00:23:50,840 --> 00:23:54,560 Speaker 1: a market. And I think what's happening is the fear 442 00:23:54,800 --> 00:23:59,600 Speaker 1: of cap gains rates going from you or you know, 443 00:23:59,640 --> 00:24:01,800 Speaker 1: the TRUP administration would like to lower in the fifteen 444 00:24:02,359 --> 00:24:06,000 Speaker 1: that fear is actually pouring gasolene on what already is 445 00:24:06,000 --> 00:24:09,560 Speaker 1: a hot market. So not only are we seeing um 446 00:24:09,880 --> 00:24:13,199 Speaker 1: in particularly for private sellers. Uh. But not only are 447 00:24:13,200 --> 00:24:15,919 Speaker 1: we seeing companies come to market, we are in the 448 00:24:15,920 --> 00:24:18,840 Speaker 1: market with some things where the sellers are saying listen. 449 00:24:18,840 --> 00:24:21,399 Speaker 1: I know initially I said, hey, if this closes in 450 00:24:21,520 --> 00:24:23,280 Speaker 1: Q one, that's fine. I'm not in a hurry. What 451 00:24:23,320 --> 00:24:25,320 Speaker 1: we're hearing is, I'd really like to get this done 452 00:24:25,320 --> 00:24:27,720 Speaker 1: this year. I don't want to take that risk, even 453 00:24:27,760 --> 00:24:32,880 Speaker 1: though traditionally when Congress makes tax increases, they make them 454 00:24:32,920 --> 00:24:35,840 Speaker 1: effective the next year. When they make tax decreases, they 455 00:24:35,840 --> 00:24:38,919 Speaker 1: have on occasion made those effective at the beginning of 456 00:24:38,920 --> 00:24:42,800 Speaker 1: the year. But but legally and legislatively they can do 457 00:24:42,840 --> 00:24:45,480 Speaker 1: whatever they want. And so we are seeing sellers feel 458 00:24:45,560 --> 00:24:48,920 Speaker 1: like the odds of the blue wave are probably better 459 00:24:48,960 --> 00:24:51,840 Speaker 1: than they felt they were a couple of months ago, 460 00:24:52,160 --> 00:24:53,720 Speaker 1: and they just don't want to take the risk of 461 00:24:53,840 --> 00:24:57,880 Speaker 1: having to pay doubled in taxes if they sell their business. Well, 462 00:24:57,880 --> 00:25:00,200 Speaker 1: I have to ask about sparks. They blew up this year. 463 00:25:00,280 --> 00:25:01,679 Speaker 1: I mean, there were a couple of big ones and 464 00:25:01,680 --> 00:25:05,600 Speaker 1: then suddenly almost everything you know related to deal making 465 00:25:05,640 --> 00:25:08,840 Speaker 1: seem to be you know, a spack being raised. It's 466 00:25:08,920 --> 00:25:11,919 Speaker 1: the new private equity or something at what happened to 467 00:25:12,000 --> 00:25:17,000 Speaker 1: have this explosion of special purpose acquisition vehicles. Well, that's 468 00:25:17,040 --> 00:25:20,080 Speaker 1: interesting because we are seeing SPACs have more interest in 469 00:25:20,200 --> 00:25:22,960 Speaker 1: our deals that we're selling than we ever had in 470 00:25:22,960 --> 00:25:25,720 Speaker 1: the past. And I think part of it is UH. Spacts, 471 00:25:25,800 --> 00:25:29,680 Speaker 1: where you were historically viewed as the capital of last resort. 472 00:25:29,840 --> 00:25:33,520 Speaker 1: They were very dilutive to sellers and they may be 473 00:25:33,600 --> 00:25:36,560 Speaker 1: weren't raised by the most reputable investors. That's changed. I 474 00:25:36,600 --> 00:25:38,840 Speaker 1: think people are feeling like, hey, SPACs are a way 475 00:25:38,880 --> 00:25:42,320 Speaker 1: to access public markets without having to go through UM, 476 00:25:42,359 --> 00:25:44,159 Speaker 1: you know, the typical road show and I p O. 477 00:25:44,359 --> 00:25:46,919 Speaker 1: So they still can be more dilutive in a sale. 478 00:25:46,920 --> 00:25:50,119 Speaker 1: But I think part of it is UM. Again, it 479 00:25:50,160 --> 00:25:52,359 Speaker 1: gets back to the ability to raise capital, and so 480 00:25:52,480 --> 00:25:55,280 Speaker 1: a lot of SPACs were raised pre COVID UH that 481 00:25:55,320 --> 00:25:58,000 Speaker 1: needed to put money to work. They're raised by sophisticated 482 00:25:58,080 --> 00:26:01,560 Speaker 1: investors with good reputations, and you know, I think as 483 00:26:01,600 --> 00:26:05,000 Speaker 1: the public markets have held up, UM, becoming public is 484 00:26:05,040 --> 00:26:07,919 Speaker 1: still for the right company. It's a way to go 485 00:26:08,000 --> 00:26:12,120 Speaker 1: public UH in a in a quicker, in sometimes cheaper way. 486 00:26:12,200 --> 00:26:16,280 Speaker 1: So we are seeing more SPACs than we've ever seen. UH. 487 00:26:16,359 --> 00:26:19,360 Speaker 1: They're not the right outcome for everybody, but we are 488 00:26:19,680 --> 00:26:22,600 Speaker 1: seeing them participate more in the companies we have for sale. 489 00:26:22,760 --> 00:26:25,119 Speaker 1: All right, Rob, but thank you for that updates. Always 490 00:26:25,119 --> 00:26:28,840 Speaker 1: fascinating to speak with Rob Brown, CEO of Lincoln International 491 00:26:28,880 --> 00:26:31,439 Speaker 1: on the deal landscape. Once again. A major deal today 492 00:26:31,480 --> 00:26:34,159 Speaker 1: in the shale space, Consho being bought by Conago from 493 00:26:34,200 --> 00:26:39,560 Speaker 1: nine point seven billion. Thanks for listening to Bloomberg Markets podcast. 494 00:26:39,720 --> 00:26:43,080 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts 495 00:26:43,200 --> 00:26:46,760 Speaker 1: or whatever podcast platform you prefer. I'm Bonnie Quinn, I'm 496 00:26:46,760 --> 00:26:49,400 Speaker 1: on Twitter at Bonnie Quinn, and I'm Paul Sweeney. I'm 497 00:26:49,400 --> 00:26:52,040 Speaker 1: on Twitter at pt Sweeney. Before the podcast, you can 498 00:26:52,080 --> 00:26:54,320 Speaker 1: always catch us worldwide at Bloomberg Radio