1 00:00:09,880 --> 00:00:13,800 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane. Daily 2 00:00:13,960 --> 00:00:17,560 Speaker 1: we bring you insight from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,480 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,640 --> 00:00:27,920 Speaker 1: Bloomberg dot Com, and of course, on the Bloomberg Daniel 5 00:00:27,920 --> 00:00:31,440 Speaker 1: Foss joined us from loomas Sales, their vice chairman and 6 00:00:31,520 --> 00:00:36,400 Speaker 1: truly someone who invented the modern bond business. Dan Foss, 7 00:00:36,440 --> 00:00:40,760 Speaker 1: you are the one that told us to forget about yield. 8 00:00:40,760 --> 00:00:46,000 Speaker 1: By depressed price bonds, there will be credit improvement and 9 00:00:46,040 --> 00:00:50,319 Speaker 1: the bonds will appreciate for total return. You can't do 10 00:00:50,400 --> 00:00:57,640 Speaker 1: that anymore, can you. Well, um, that's right, But all 11 00:00:57,680 --> 00:00:59,720 Speaker 1: I can do is agree with what you just said 12 00:00:59,720 --> 00:01:03,800 Speaker 1: to Um. It's a tough road to whole right now 13 00:01:03,920 --> 00:01:08,479 Speaker 1: in the bod world. Uh, you can make some money. 14 00:01:09,319 --> 00:01:13,640 Speaker 1: You can ride the old curve at too short end. UM. 15 00:01:13,680 --> 00:01:17,280 Speaker 1: I don't recommend it, but you can. You can buy 16 00:01:17,319 --> 00:01:20,960 Speaker 1: a slice of each of the new high yield coming 17 00:01:21,000 --> 00:01:25,560 Speaker 1: out and you've got some yield. UM. Or you can 18 00:01:25,640 --> 00:01:28,160 Speaker 1: be a bit smarter about it and you can say, well, 19 00:01:28,160 --> 00:01:29,959 Speaker 1: I'm not going to buy a slice of each one 20 00:01:30,000 --> 00:01:32,319 Speaker 1: of them, but I'm going to buy the ones I 21 00:01:32,440 --> 00:01:37,800 Speaker 1: like and try to keep my maturities entirely short. And 22 00:01:37,840 --> 00:01:39,720 Speaker 1: then people say to me, and they said, well, that's 23 00:01:39,720 --> 00:01:41,560 Speaker 1: all well and good Dan, but you know, I just 24 00:01:41,600 --> 00:01:44,520 Speaker 1: can't raid a seven the yelder and the portfolios to 25 00:01:44,600 --> 00:01:47,000 Speaker 1: me and a half. And so what do you expect 26 00:01:47,120 --> 00:01:49,640 Speaker 1: us to do about this? Get rid of you? And 27 00:01:49,720 --> 00:01:51,720 Speaker 1: I said, well, I don't like it to get rid 28 00:01:51,760 --> 00:01:55,120 Speaker 1: of me, but I have to be honest with you 29 00:01:55,360 --> 00:01:59,080 Speaker 1: and tell you it's that type of the old environment. 30 00:01:59,480 --> 00:02:04,480 Speaker 1: And uh so if you're discounting at seven um and 31 00:02:04,560 --> 00:02:08,800 Speaker 1: the yields you're getting our three or poor even, uh, 32 00:02:09,080 --> 00:02:12,200 Speaker 1: you've got a problem. And I can't solve that one 33 00:02:12,280 --> 00:02:17,320 Speaker 1: for you. Uh. Now, last year we were lucky. Prices 34 00:02:17,360 --> 00:02:21,120 Speaker 1: went up some more, the total return looks nice, and 35 00:02:21,240 --> 00:02:25,040 Speaker 1: people say, geez, that's really very nice. You've done it again, 36 00:02:25,280 --> 00:02:29,080 Speaker 1: and you say, uh, huh, listen, that was luck and 37 00:02:29,200 --> 00:02:32,440 Speaker 1: by this time, uh, you know, the marketers will never 38 00:02:32,560 --> 00:02:36,360 Speaker 1: let you in another meeting. But that's the reality of 39 00:02:36,440 --> 00:02:38,320 Speaker 1: life down I want to jump in, if that's okay. 40 00:02:38,400 --> 00:02:40,400 Speaker 1: So I want to talk about the experience through the 41 00:02:40,480 --> 00:02:43,000 Speaker 1: last few cycles, beyond just what we've gone through in 42 00:02:43,000 --> 00:02:45,320 Speaker 1: the last twelve months, but over the last couple of decades. 43 00:02:45,360 --> 00:02:47,799 Speaker 1: What is it about the way we recover and roll 44 00:02:47,919 --> 00:02:51,600 Speaker 1: over through these cycles that leads to lower highs on 45 00:02:51,639 --> 00:02:54,440 Speaker 1: a ten year bond yield and lower lows each and 46 00:02:54,480 --> 00:02:56,880 Speaker 1: every time, each and every time? What's going gone down? 47 00:02:56,880 --> 00:02:59,400 Speaker 1: What's that dynamic? And do we repeat that in this 48 00:02:59,440 --> 00:03:03,600 Speaker 1: recovery about to go through as well? Well? Number one, 49 00:03:03,639 --> 00:03:08,280 Speaker 1: I don't know the future. Number two, Um, I think 50 00:03:08,320 --> 00:03:11,360 Speaker 1: what we're in right now, Jonathan is in a period 51 00:03:11,400 --> 00:03:15,680 Speaker 1: of rather low rates for quite a period of time. Now. 52 00:03:16,200 --> 00:03:18,600 Speaker 1: I am not in the camp that say they are 53 00:03:18,680 --> 00:03:21,720 Speaker 1: down they're going to stay down in the US. And 54 00:03:21,800 --> 00:03:25,519 Speaker 1: I don't think we're going through the popular praise these 55 00:03:25,600 --> 00:03:33,880 Speaker 1: days the Japanification of inflation in the markets. I don't 56 00:03:33,919 --> 00:03:37,680 Speaker 1: buy that. And but maybe it will happen. I doubt it. 57 00:03:38,080 --> 00:03:42,080 Speaker 1: That's a whole different world there, uh. I think what 58 00:03:42,120 --> 00:03:46,520 Speaker 1: we're in right now is an excess of liquidity finding 59 00:03:46,560 --> 00:03:49,480 Speaker 1: its way into the bondom market. Now, there are a 60 00:03:49,560 --> 00:03:53,360 Speaker 1: couple of indicators. If you look at what's happening with 61 00:03:53,480 --> 00:03:56,560 Speaker 1: the E t f s for example, you look at 62 00:03:56,680 --> 00:04:01,640 Speaker 1: you know, say, oh, cheapers, the highli T s Uh, 63 00:04:02,200 --> 00:04:05,920 Speaker 1: they're not really growing anymore. A matter of fact, it's 64 00:04:06,120 --> 00:04:12,320 Speaker 1: seemed as reported to have flattened out. O. Um, that's 65 00:04:12,400 --> 00:04:15,360 Speaker 1: one indication. And then you look at what the new 66 00:04:16,320 --> 00:04:21,120 Speaker 1: issues coming out are being used for. Um, a good 67 00:04:21,200 --> 00:04:24,159 Speaker 1: chunk of them are being used to refinance the older ones. 68 00:04:24,279 --> 00:04:27,680 Speaker 1: You're bringing down your coupons to adjust to the you 69 00:04:27,720 --> 00:04:34,040 Speaker 1: know that smart financial management. Uh. And Uh, the underlying 70 00:04:34,080 --> 00:04:37,920 Speaker 1: fundamentals on a lot of the issuers on some are 71 00:04:38,080 --> 00:04:43,120 Speaker 1: are quite good. On many more, Uh, they're de degree 72 00:04:44,520 --> 00:04:49,760 Speaker 1: and so here you have a floppier credit environment, you 73 00:04:49,920 --> 00:04:53,960 Speaker 1: have lower yields. Yeah. And and basically this goes to 74 00:04:54,000 --> 00:04:56,000 Speaker 1: the point that you made recently dead in an interview 75 00:04:56,040 --> 00:04:58,599 Speaker 1: with Bloomberg News, where you said there's no outstanding value 76 00:04:58,920 --> 00:05:02,400 Speaker 1: in the fixed income markets. And I'm wondering, Dan, as 77 00:05:02,440 --> 00:05:04,760 Speaker 1: one of the fathers of the bond market as we 78 00:05:04,800 --> 00:05:07,680 Speaker 1: know it today, where do you go if there is 79 00:05:07,760 --> 00:05:12,040 Speaker 1: no outstanding value in the fixed income market. Well, you 80 00:05:12,680 --> 00:05:14,920 Speaker 1: do what you did, and I'm going to go back 81 00:05:14,960 --> 00:05:17,400 Speaker 1: in history. You do what you did at a little 82 00:05:17,440 --> 00:05:22,039 Speaker 1: different level of yield in the sixties. You start to 83 00:05:22,160 --> 00:05:26,560 Speaker 1: work with the old curve and and your patient. But 84 00:05:26,880 --> 00:05:29,240 Speaker 1: it's easier to see immunity. See if you were running 85 00:05:29,279 --> 00:05:32,520 Speaker 1: Ammuni portfolio, you'd say, oh good, I'm going to buy 86 00:05:32,560 --> 00:05:34,640 Speaker 1: the five year and I'm going to roll it back 87 00:05:34,680 --> 00:05:38,479 Speaker 1: out after two years have gone by or three years whatever. 88 00:05:38,920 --> 00:05:43,120 Speaker 1: That was a pretty steady positive curve. Corporates are are different, 89 00:05:43,560 --> 00:05:46,719 Speaker 1: and there's a spread between bidden ask, but if you 90 00:05:46,800 --> 00:05:49,920 Speaker 1: stick to the higher quality and work with the old curve, 91 00:05:50,040 --> 00:05:53,880 Speaker 1: you can be adding some value, not a lot. And 92 00:05:53,920 --> 00:05:59,480 Speaker 1: then you watch for the occasional anomaly anomaly um and 93 00:06:00,120 --> 00:06:03,360 Speaker 1: on the credit side, and they do come along, not 94 00:06:03,480 --> 00:06:07,800 Speaker 1: many and not big, and they don't last long, but 95 00:06:07,880 --> 00:06:11,039 Speaker 1: you can find them. But the one thing I discourage 96 00:06:11,120 --> 00:06:16,000 Speaker 1: people from doing is saying, well, listen, uh, this economic 97 00:06:16,080 --> 00:06:19,159 Speaker 1: rebound is going to be ferocious and everything is going 98 00:06:19,200 --> 00:06:21,800 Speaker 1: to be back to normal. Well maybe that will happen. 99 00:06:22,000 --> 00:06:25,400 Speaker 1: I hope so. I sure hope so. But I wouldn't 100 00:06:25,480 --> 00:06:30,120 Speaker 1: bet that way, and I would not bet against the 101 00:06:30,200 --> 00:06:36,200 Speaker 1: return of inflation because I think Milton Friedman had some 102 00:06:36,279 --> 00:06:40,560 Speaker 1: things right. And when you follow the growth of them too, 103 00:06:40,760 --> 00:06:43,360 Speaker 1: and the rate that it's growing at, or use any 104 00:06:43,360 --> 00:06:45,880 Speaker 1: other procts that you want, go look at the stock 105 00:06:45,960 --> 00:06:50,599 Speaker 1: market where there is excess liquidity, and it is in 106 00:06:50,720 --> 00:06:54,840 Speaker 1: this system and we and the FED is caught because 107 00:06:54,920 --> 00:06:58,560 Speaker 1: we are fighting a war right now against the pandemic. 108 00:06:59,480 --> 00:07:03,599 Speaker 1: And and that's the case. Everybody has to get in 109 00:07:03,760 --> 00:07:07,119 Speaker 1: and support the work. Don't forgive me for jumping and said, 110 00:07:07,240 --> 00:07:10,000 Speaker 1: if you can, fantastic to catch out with you. Thank 111 00:07:10,080 --> 00:07:11,400 Speaker 1: for giving us some of your time, and don't be 112 00:07:11,400 --> 00:07:13,200 Speaker 1: a stranger. Don't leave us so long. Next time down 113 00:07:13,240 --> 00:07:26,200 Speaker 1: fuss that of limits sales. Lori Kelvisine is at RBC 114 00:07:26,320 --> 00:07:30,280 Speaker 1: Capital Markets and they've got a really, really, really interesting 115 00:07:30,440 --> 00:07:36,000 Speaker 1: exercise they go through every earning season called transcript tagging. Laurie, 116 00:07:36,080 --> 00:07:40,840 Speaker 1: what's transcript tagging? And what have you learned? So basically 117 00:07:40,920 --> 00:07:43,520 Speaker 1: transcript tagging. As we go through on my team all 118 00:07:43,520 --> 00:07:46,760 Speaker 1: of the earnings called transcripts of SMP five companies. It's 119 00:07:46,760 --> 00:07:50,560 Speaker 1: a pretty manual, labor intensive process and we just frankly 120 00:07:50,600 --> 00:07:53,160 Speaker 1: want to see what companies are talking about. UM. We 121 00:07:53,240 --> 00:07:55,240 Speaker 1: try to gauge the tone. We look at what they're 122 00:07:55,240 --> 00:07:59,160 Speaker 1: saying on things like cash, the outlook, the tone. Actually 123 00:07:59,200 --> 00:08:02,480 Speaker 1: the surprised me wasn't as robust as I thought it 124 00:08:02,480 --> 00:08:04,320 Speaker 1: would be. So we know that companies are coming in 125 00:08:04,360 --> 00:08:07,000 Speaker 1: and beating left and right on numbers, But when they're 126 00:08:07,000 --> 00:08:09,560 Speaker 1: talking about the forward outlook, they're really kind of two camps. 127 00:08:09,880 --> 00:08:13,280 Speaker 1: There's one that's expressing some optimism over the vaccine rollout, 128 00:08:13,320 --> 00:08:16,600 Speaker 1: and there's a second that's been really pushing the narrative 129 00:08:16,680 --> 00:08:20,200 Speaker 1: of things are still uncertain. Um, so it's it wasn't 130 00:08:20,240 --> 00:08:22,520 Speaker 1: as biased towards kind of that bullish look at the 131 00:08:22,560 --> 00:08:24,680 Speaker 1: vaccine rollout as I would have thought. Talked to me 132 00:08:24,720 --> 00:08:28,760 Speaker 1: about the performance post earnings, Laurie, what's the takeaway? So 133 00:08:28,840 --> 00:08:30,920 Speaker 1: this is something else that's really been interesting. You know, 134 00:08:30,960 --> 00:08:33,000 Speaker 1: depending on what which day you update the data, but 135 00:08:33,040 --> 00:08:36,520 Speaker 1: about half of companies that have posted results so far 136 00:08:36,559 --> 00:08:39,800 Speaker 1: in this reporting season have gone down one percent or 137 00:08:39,840 --> 00:08:42,400 Speaker 1: more in the one day trading session after the results. 138 00:08:42,400 --> 00:08:44,319 Speaker 1: Now that stat's gotten a little bit better as we've 139 00:08:44,360 --> 00:08:47,080 Speaker 1: gone through reporting season, but I think it's a testament 140 00:08:47,080 --> 00:08:50,720 Speaker 1: to how high expectations were coming into this reporting season. 141 00:08:51,000 --> 00:08:54,360 Speaker 1: So kind of this, you know, kind of one mediocre, Yeah, 142 00:08:54,400 --> 00:08:57,120 Speaker 1: maybe things will get better, we don't really know. That's 143 00:08:57,120 --> 00:08:59,839 Speaker 1: not cutting it and you're not seeing one is some 144 00:09:00,000 --> 00:09:02,160 Speaker 1: ss really go up in a meaningful way. I've been 145 00:09:02,160 --> 00:09:04,240 Speaker 1: trying to work out. Just sorry to jump in. I've 146 00:09:04,240 --> 00:09:05,600 Speaker 1: been trying to work out where the spot on the 147 00:09:05,600 --> 00:09:07,839 Speaker 1: calendar is where a lot of this starts to manage 148 00:09:07,840 --> 00:09:09,880 Speaker 1: just a little bit more, because I think some people 149 00:09:09,880 --> 00:09:12,400 Speaker 1: are still quite forgiving of any downside surprises, whether it's 150 00:09:12,440 --> 00:09:15,280 Speaker 1: the earnings or the negative economic data, because they're hoping, 151 00:09:15,320 --> 00:09:18,000 Speaker 1: believing things get better in the future. What's the test 152 00:09:18,040 --> 00:09:20,560 Speaker 1: state for you? The test date for me is going 153 00:09:20,600 --> 00:09:22,400 Speaker 1: to be April. And the reason I say that is 154 00:09:22,440 --> 00:09:24,360 Speaker 1: we're going to kind of get out of this year 155 00:09:24,360 --> 00:09:27,320 Speaker 1: ahead outlook season. We'll start to hear the early reporters, 156 00:09:27,600 --> 00:09:29,559 Speaker 1: you know, kind of talk about what the full year 157 00:09:29,600 --> 00:09:32,920 Speaker 1: outlook really is. And also stocks have been marching along 158 00:09:32,920 --> 00:09:36,560 Speaker 1: the two thousand recovery path, and if you look back 159 00:09:36,559 --> 00:09:38,760 Speaker 1: at that history, April is when you did get a 160 00:09:38,760 --> 00:09:41,160 Speaker 1: pull back in the market of significant size. And we 161 00:09:41,240 --> 00:09:44,120 Speaker 1: also have pointed out that about ten months into recovery 162 00:09:44,160 --> 00:09:47,040 Speaker 1: trades post recession, you do typically get a big bout 163 00:09:47,040 --> 00:09:49,600 Speaker 1: of consolidation, and we've seen this over the last three 164 00:09:49,600 --> 00:09:53,400 Speaker 1: economic cycles. So you know that April time frame is 165 00:09:53,440 --> 00:09:55,440 Speaker 1: perhaps when we will finally get that pullback a lot 166 00:09:55,440 --> 00:09:57,960 Speaker 1: of people have been looking for before that LORI. Next 167 00:09:58,040 --> 00:10:00,439 Speaker 1: week in Washington, d C. We're gonna be getting those 168 00:10:00,480 --> 00:10:03,439 Speaker 1: hearings about what happened with game Stop and AMC and 169 00:10:03,559 --> 00:10:06,800 Speaker 1: some of these other big share moves that we saw 170 00:10:06,840 --> 00:10:08,840 Speaker 1: that really were attributed to retail but had a lot 171 00:10:08,880 --> 00:10:12,840 Speaker 1: of other institutional players. How much does this affect your focus, 172 00:10:12,840 --> 00:10:15,680 Speaker 1: which is small caps and the indexes that track these 173 00:10:15,760 --> 00:10:17,760 Speaker 1: kinds of shares. I mean, how big of a concern 174 00:10:17,960 --> 00:10:21,360 Speaker 1: is it that this type of activity could wildly distort 175 00:10:21,480 --> 00:10:25,439 Speaker 1: both returns as well as money allocation if it persists. 176 00:10:26,320 --> 00:10:28,000 Speaker 1: So it's a great question, and I have, you know, 177 00:10:28,080 --> 00:10:29,959 Speaker 1: kind of two critical thoughts here is one. I don't 178 00:10:29,960 --> 00:10:33,320 Speaker 1: think retail investor participation and some of the less liquid 179 00:10:33,400 --> 00:10:36,000 Speaker 1: names in small cap is necessarily a bad thing. Of course, 180 00:10:36,040 --> 00:10:38,360 Speaker 1: we want it done in a way that's not bringing 181 00:10:38,440 --> 00:10:41,280 Speaker 1: excess at risk upon those individuals. Um But you know, 182 00:10:41,320 --> 00:10:43,640 Speaker 1: I think that the door has been opened to some extent. 183 00:10:43,720 --> 00:10:45,720 Speaker 1: So unless the regulators really kind of come in and 184 00:10:45,720 --> 00:10:47,680 Speaker 1: close it down, and I don't think they will, you know, 185 00:10:47,720 --> 00:10:50,000 Speaker 1: I think retail is probably here to stay and keep 186 00:10:50,080 --> 00:10:52,880 Speaker 1: fishing in the small cap pond for a while. Second thing, though, 187 00:10:52,920 --> 00:10:56,400 Speaker 1: I would tell you from an institutional community perspective. UM, 188 00:10:56,440 --> 00:10:59,240 Speaker 1: there was no one more unhappy about this Reddit issue 189 00:10:59,280 --> 00:11:02,120 Speaker 1: to start the year small cap value managers, and the 190 00:11:02,200 --> 00:11:04,560 Speaker 1: reason why was that they did not own the kinds 191 00:11:04,559 --> 00:11:07,960 Speaker 1: of names like GameStop that retail was going after, and 192 00:11:07,960 --> 00:11:10,319 Speaker 1: it created big performance holes in their benchmark. If you 193 00:11:10,320 --> 00:11:12,920 Speaker 1: look at the last week of January, only nine percent 194 00:11:13,040 --> 00:11:15,760 Speaker 1: of small cap value managers beat their benchmark. They were 195 00:11:15,800 --> 00:11:17,680 Speaker 1: not willing to go in and buy these stocks, but 196 00:11:17,679 --> 00:11:19,880 Speaker 1: they were definitely curious to know if everyone else was. 197 00:11:20,160 --> 00:11:22,400 Speaker 1: So this raises a really interesting question, Laurie. If it's 198 00:11:22,440 --> 00:11:24,240 Speaker 1: not going away, how do they play this? Do they 199 00:11:24,240 --> 00:11:27,640 Speaker 1: start following Reddit and just going along with the crowd. Well, look, 200 00:11:27,679 --> 00:11:29,800 Speaker 1: I think that we have just sort of an inherent 201 00:11:29,920 --> 00:11:33,120 Speaker 1: problem and active management, which is that you know, even 202 00:11:33,280 --> 00:11:36,200 Speaker 1: value managers, everyone's kind of got these quality biases and 203 00:11:36,240 --> 00:11:38,320 Speaker 1: has sort of veered over to the same side of 204 00:11:38,320 --> 00:11:41,760 Speaker 1: the quality trade, and these kind of lower quality names 205 00:11:42,120 --> 00:11:44,440 Speaker 1: UM have really kind of been ignored, you know, are 206 00:11:44,480 --> 00:11:46,360 Speaker 1: sort of orphans in the market so to speed. And 207 00:11:46,360 --> 00:11:48,640 Speaker 1: I think we just need to recognize that this kind 208 00:11:48,640 --> 00:11:51,719 Speaker 1: of situation where everybody in the institutional community is going 209 00:11:51,760 --> 00:11:53,600 Speaker 1: to sit on the same side of the boat. It 210 00:11:53,720 --> 00:11:56,480 Speaker 1: is just not going to be allowed to exist. And 211 00:11:56,520 --> 00:11:58,440 Speaker 1: definitely so they do need to fish more in that 212 00:11:58,520 --> 00:12:03,439 Speaker 1: side of the pond. I think I've missed you until 213 00:12:03,480 --> 00:12:06,040 Speaker 1: I've really missed you. What John, what she just said 214 00:12:06,080 --> 00:12:09,920 Speaker 1: there is extraordinarily important. I mean, this is the act 215 00:12:09,960 --> 00:12:13,199 Speaker 1: of do you buy passive small cap? Do you buy 216 00:12:13,200 --> 00:12:17,280 Speaker 1: an active? It's important, Laurie, it's been a long long time. 217 00:12:17,679 --> 00:12:19,440 Speaker 1: Can we do a shout out to baby Emmett? How 218 00:12:19,559 --> 00:12:22,480 Speaker 1: is baby Emmett? Baby Emmett is great. He just got 219 00:12:22,480 --> 00:12:24,520 Speaker 1: his first tooth and he's sleeping through the nights, so 220 00:12:24,720 --> 00:12:28,200 Speaker 1: he's been baby. Did he get any bumble shares? Oh 221 00:12:28,240 --> 00:12:33,680 Speaker 1: my god, no no, but my five year old did 222 00:12:33,679 --> 00:12:39,440 Speaker 1: try to talk me into letting him trade some stocks. Laurie, 223 00:12:39,480 --> 00:12:42,560 Speaker 1: I'm sure I'm not alone. Wall Streets missed you. Welcome back. 224 00:12:42,559 --> 00:12:46,280 Speaker 1: It's going to catch up of OURBC capital markets. Just 225 00:12:46,360 --> 00:12:58,199 Speaker 1: fantastic research. What we knowing for certain here team surveillance, 226 00:12:58,200 --> 00:13:01,440 Speaker 1: folks on radio until elevision is a fancy guy in 227 00:13:01,480 --> 00:13:04,280 Speaker 1: a fancy suit with a fancy bow tie. We'll go 228 00:13:04,360 --> 00:13:07,800 Speaker 1: get a second vaccination. At eleven am this morning, the 229 00:13:07,920 --> 00:13:12,200 Speaker 1: national disgrace that we have is a distribution pretty much 230 00:13:12,679 --> 00:13:15,360 Speaker 1: is for the fancy people. Dwight Evans is living this 231 00:13:15,840 --> 00:13:19,320 Speaker 1: in Philadelphia. He is a Democrat from Pennsylvania, where thrilled 232 00:13:19,360 --> 00:13:22,720 Speaker 1: he could join us this morning. You know, Congressman Evans, 233 00:13:22,720 --> 00:13:26,160 Speaker 1: and it's a disgrace the way we've distributed the vaccine. 234 00:13:26,600 --> 00:13:29,360 Speaker 1: The key word here is fast. What do you need 235 00:13:29,480 --> 00:13:34,160 Speaker 1: from President Biden and Congress so that we fast distribute 236 00:13:34,160 --> 00:13:38,680 Speaker 1: the vaccine to all who need it. There's no question 237 00:13:38,960 --> 00:13:42,320 Speaker 1: that the programs started started as a failure at this 238 00:13:42,400 --> 00:13:46,160 Speaker 1: particular point. But I believe President Biden and we're working 239 00:13:46,200 --> 00:13:50,640 Speaker 1: together to address those issues. There is no question as 240 00:13:50,640 --> 00:13:54,680 Speaker 1: senior citizens, the essential workers, people of color are having 241 00:13:54,679 --> 00:13:57,960 Speaker 1: a very difficult that I'm giving access to the program 242 00:13:58,040 --> 00:14:01,520 Speaker 1: and that is wrong. So we us changed that, and 243 00:14:01,559 --> 00:14:04,640 Speaker 1: I believe that we're moving in the right direction. And 244 00:14:04,760 --> 00:14:07,960 Speaker 1: I think it's clear we ultimately around April should get 245 00:14:07,920 --> 00:14:10,680 Speaker 1: in the right place. Tell us in the trenches of 246 00:14:10,720 --> 00:14:16,560 Speaker 1: your legislation, what we're doing about educating people and particularly 247 00:14:16,679 --> 00:14:20,560 Speaker 1: people that don't have an acute science background. We seem 248 00:14:20,600 --> 00:14:24,520 Speaker 1: to be so far behind. How do we educate and 249 00:14:24,560 --> 00:14:29,560 Speaker 1: again educate fast? Well, there's no question that you know, 250 00:14:30,080 --> 00:14:32,360 Speaker 1: you know, there's no use I can talk about what 251 00:14:32,480 --> 00:14:34,240 Speaker 1: has happened in the past, but we need to talk 252 00:14:34,240 --> 00:14:37,720 Speaker 1: about the future. There's no question right around this particular much. 253 00:14:37,960 --> 00:14:41,520 Speaker 1: It's been a year that we have faced this pandemic 254 00:14:41,720 --> 00:14:44,880 Speaker 1: and this global pandemic, and it's not that we created. 255 00:14:44,920 --> 00:14:48,720 Speaker 1: It's a question of how it's been managed. So we 256 00:14:48,720 --> 00:14:50,480 Speaker 1: can need to point fingers that we can find a 257 00:14:50,560 --> 00:14:55,040 Speaker 1: pathway to address it. I believe that the President United States, 258 00:14:55,400 --> 00:14:59,000 Speaker 1: in conjunction with the House and the Senate as a partnership, 259 00:14:59,320 --> 00:15:04,080 Speaker 1: does the attempt need to address this pandemic. So Congressman, 260 00:15:04,120 --> 00:15:06,200 Speaker 1: let's talk about the future, and let's talk about the 261 00:15:06,240 --> 00:15:09,840 Speaker 1: current stimulus plan. When you discuss with fellow Democrats what 262 00:15:10,000 --> 00:15:13,080 Speaker 1: to approve, how big to go, how much? Are people 263 00:15:13,120 --> 00:15:15,880 Speaker 1: talking about the political will to follow it up with 264 00:15:15,920 --> 00:15:18,720 Speaker 1: an infrastructure spending bill, as Joe Biden will be talking 265 00:15:18,720 --> 00:15:22,080 Speaker 1: about today in Washington, d C. Well, you go by 266 00:15:22,240 --> 00:15:25,040 Speaker 1: the chairman of the Feather Reserve. You said a long 267 00:15:25,080 --> 00:15:27,520 Speaker 1: time ago that we need to go big, and we 268 00:15:27,600 --> 00:15:30,560 Speaker 1: need to go bold, and right now is a very 269 00:15:30,640 --> 00:15:33,560 Speaker 1: appropriate time because you look at the aspect of barring. 270 00:15:33,720 --> 00:15:37,040 Speaker 1: Barring is very low and very appropriate. So those tools 271 00:15:37,080 --> 00:15:39,560 Speaker 1: are available. So I believe that we have to use 272 00:15:39,600 --> 00:15:42,360 Speaker 1: all the tools that are available, and I believe that 273 00:15:42,480 --> 00:15:46,320 Speaker 1: people are ready, they are ready for a type of change. 274 00:15:46,320 --> 00:15:48,480 Speaker 1: We've gotta build it back better. So we have to 275 00:15:48,600 --> 00:15:52,840 Speaker 1: crush the virus of coruss that first and foremost. Secondly, 276 00:15:52,920 --> 00:15:57,880 Speaker 1: make the necessary fatigue event, reopen our schools, reinvest in 277 00:15:57,880 --> 00:16:01,720 Speaker 1: our infrastructure, work with our small businesses. These are all 278 00:16:01,760 --> 00:16:04,920 Speaker 1: the things that we have to do. So it's not easy, 279 00:16:05,000 --> 00:16:08,160 Speaker 1: but we can do it well. But but you believe that, 280 00:16:08,240 --> 00:16:10,520 Speaker 1: and a lot of people do believe that a part 281 00:16:10,520 --> 00:16:13,680 Speaker 1: of the Democratic Party, but even among the Democrats, there 282 00:16:13,800 --> 00:16:16,320 Speaker 1: is some disagreement about how big to go and how 283 00:16:16,400 --> 00:16:19,000 Speaker 1: much to follow this up with, and the idea that 284 00:16:19,040 --> 00:16:21,440 Speaker 1: Republicans are getting a little bit more concerned about the 285 00:16:21,480 --> 00:16:24,400 Speaker 1: debt pile. I mean, how concerned are you that if 286 00:16:24,440 --> 00:16:27,560 Speaker 1: you pass a big and bold stimulus package right now, 287 00:16:28,000 --> 00:16:31,680 Speaker 1: it will withdraw any political support for getting that infrastructure 288 00:16:31,680 --> 00:16:35,160 Speaker 1: spending done that you're saying is crucial. Well, I think 289 00:16:35,320 --> 00:16:38,280 Speaker 1: it's important to understand that in the House, we just 290 00:16:38,360 --> 00:16:42,440 Speaker 1: had a hearing uh in their Ways and Means Committee, 291 00:16:42,520 --> 00:16:46,440 Speaker 1: and the chairman of the committee is very confident in 292 00:16:46,560 --> 00:16:49,400 Speaker 1: terms of where we are. We understand the concerns that people, 293 00:16:49,400 --> 00:16:52,120 Speaker 1: but we realize this is something we can do. We 294 00:16:52,200 --> 00:16:54,960 Speaker 1: cannot afford not to do it, so we have to 295 00:16:54,960 --> 00:16:57,640 Speaker 1: take that. Actually, I believe that we're in the majority 296 00:16:57,640 --> 00:17:00,600 Speaker 1: in the Senate and with the houseworking together that I 297 00:17:00,640 --> 00:17:03,280 Speaker 1: think that you will see a new, different day. So 298 00:17:03,320 --> 00:17:07,639 Speaker 1: I'm very optimistic that we can achieve this. Joy Evans 299 00:17:07,720 --> 00:17:12,200 Speaker 1: tell us the the the forward motion of the Congressional 300 00:17:12,280 --> 00:17:16,679 Speaker 1: Black Caucus. It has been a four year challenge, without question, 301 00:17:16,720 --> 00:17:20,040 Speaker 1: I think anybody of any political persuasion can agree on that. 302 00:17:20,320 --> 00:17:23,320 Speaker 1: Tell us about the new effort by a Congressional Black 303 00:17:23,359 --> 00:17:29,960 Speaker 1: Caucus in Congress. Well, you know, um Joyce Baby from 304 00:17:29,960 --> 00:17:33,840 Speaker 1: Ohio is the new chairperson. Fact, she's on the Financial 305 00:17:33,880 --> 00:17:36,560 Speaker 1: Service Committee. I work very closely it being on the 306 00:17:36,560 --> 00:17:39,160 Speaker 1: ways and means committed. So I share with you with 307 00:17:39,200 --> 00:17:44,040 Speaker 1: a leadership taking place of Karen Bass from California, that 308 00:17:44,160 --> 00:17:47,359 Speaker 1: she will not miss a step. You have some very 309 00:17:47,400 --> 00:17:51,080 Speaker 1: good new members, new blood, new energy, who are ready 310 00:17:51,119 --> 00:17:53,840 Speaker 1: to take this challenge on. So, in spite of what 311 00:17:53,880 --> 00:17:56,679 Speaker 1: a lot of people said, I believe that the Congressional 312 00:17:56,720 --> 00:18:00,399 Speaker 1: Black Caucus ready for this challenge. Congressman Waved love to 313 00:18:00,400 --> 00:18:02,480 Speaker 1: have you back, saying please stay close. That would be 314 00:18:02,480 --> 00:18:05,440 Speaker 1: a stranger to this program. Congressman Wide Evan's that wank. 315 00:18:16,560 --> 00:18:20,960 Speaker 1: Diane Swart joins from Grant Thorton. Just wonderful about calibrating 316 00:18:21,240 --> 00:18:23,920 Speaker 1: the pulse of that equation. Why I will see plus 317 00:18:24,040 --> 00:18:27,080 Speaker 1: I plus G plus n x, Diane Swark? Right now, 318 00:18:27,119 --> 00:18:31,280 Speaker 1: the mystery to me is a persistent six five g 319 00:18:31,440 --> 00:18:35,040 Speaker 1: d P and we get out into Q one, maybe 320 00:18:35,080 --> 00:18:38,639 Speaker 1: into Q two, and then there's a mystery. What is 321 00:18:38,680 --> 00:18:44,520 Speaker 1: your clarity on Q three and Q four of this year? Well, 322 00:18:44,560 --> 00:18:47,239 Speaker 1: certainly the hope is that we see this unleashed pent 323 00:18:47,359 --> 00:18:50,040 Speaker 1: up demand lift us even higher and get to the 324 00:18:50,160 --> 00:18:52,160 Speaker 1: end of the year. Ours is a little bit more 325 00:18:52,240 --> 00:18:54,840 Speaker 1: muted because the multipliers, we think are more muted on 326 00:18:55,000 --> 00:18:58,040 Speaker 1: services coming back than they are on goods coming back. 327 00:18:58,080 --> 00:19:00,719 Speaker 1: This is a very unique reset and where you do 328 00:19:00,800 --> 00:19:03,040 Speaker 1: unleashed pen up demand. But how many times do you 329 00:19:03,080 --> 00:19:05,240 Speaker 1: eat up out in a day? How many haircuts do 330 00:19:05,280 --> 00:19:07,320 Speaker 1: you get to make up for what we lost? So 331 00:19:07,359 --> 00:19:09,959 Speaker 1: it's a different kind of unleashed pen up demand. But 332 00:19:10,000 --> 00:19:13,000 Speaker 1: we could easily see the strongest year since nine four. 333 00:19:13,320 --> 00:19:18,240 Speaker 1: That is important as we go into two thousand twenty two. 334 00:19:18,400 --> 00:19:21,280 Speaker 1: What's also important is how do we manage the virus. 335 00:19:21,320 --> 00:19:24,040 Speaker 1: I mean, we're talking about not eradicating the virus, but 336 00:19:24,160 --> 00:19:27,280 Speaker 1: managing it so that it's not a significant part of 337 00:19:27,280 --> 00:19:31,600 Speaker 1: our everyday lives. But that process of going from eradicating 338 00:19:31,680 --> 00:19:35,080 Speaker 1: her community just flipping a switch, to managing the virus 339 00:19:35,320 --> 00:19:37,920 Speaker 1: is a very different economic equation as well, in terms 340 00:19:37,960 --> 00:19:40,560 Speaker 1: of how fast we can ramp up all showing up 341 00:19:40,600 --> 00:19:45,440 Speaker 1: at big theaters and sporting events in crowds and congregating 342 00:19:45,720 --> 00:19:48,399 Speaker 1: in the way many of us would like to dance swank. 343 00:19:48,480 --> 00:19:51,600 Speaker 1: We spoke with Heidi Sheerholes out of your University of 344 00:19:51,640 --> 00:19:56,159 Speaker 1: Michigan the other day. She is expert, expert expert on 345 00:19:56,280 --> 00:19:58,959 Speaker 1: the dearth of jobs that job GEP that we have 346 00:19:59,480 --> 00:20:05,480 Speaker 1: with a aren't economy? Do we close that job? Get Yeah, 347 00:20:05,480 --> 00:20:07,480 Speaker 1: it's a great question. One of the things we're really 348 00:20:07,480 --> 00:20:09,760 Speaker 1: worried about it in Heidi is as well, She's great 349 00:20:09,800 --> 00:20:13,040 Speaker 1: at this is the dichotomy between high wage jobs have 350 00:20:13,240 --> 00:20:16,080 Speaker 1: come back and in fact, in some sectors they're reporting 351 00:20:16,160 --> 00:20:18,560 Speaker 1: labor market shortages. Of course, we all know that anyone 352 00:20:18,600 --> 00:20:21,159 Speaker 1: doing anything with their house right now cannot find a 353 00:20:21,200 --> 00:20:24,600 Speaker 1: skilled carpenter. But beyond that, you've got in the low 354 00:20:24,640 --> 00:20:28,480 Speaker 1: wage sector jobs that are being replaced by automation and digitation. 355 00:20:28,600 --> 00:20:32,240 Speaker 1: Even thinking about things like the peloton and doing fitness 356 00:20:32,280 --> 00:20:37,679 Speaker 1: and home that allows one person to personally train a 357 00:20:37,760 --> 00:20:40,440 Speaker 1: lot of people. Reduces the cost of some of these 358 00:20:40,480 --> 00:20:44,159 Speaker 1: inflation fears I think are overstated, but it also reduces 359 00:20:44,240 --> 00:20:48,080 Speaker 1: some jobs that might be coming back otherwise. Also cashiers, 360 00:20:48,160 --> 00:20:51,280 Speaker 1: anything that can be automated in terms of getting out 361 00:20:51,320 --> 00:20:53,399 Speaker 1: of a store, not having that extra touch, and the 362 00:20:53,440 --> 00:20:56,520 Speaker 1: world we manage the virus rather than just contain it. 363 00:20:56,880 --> 00:20:58,640 Speaker 1: All of those things mean it's going to be even 364 00:20:58,680 --> 00:21:01,320 Speaker 1: harder for some of these workers that have been displaced 365 00:21:01,359 --> 00:21:04,560 Speaker 1: to come back without reskilling. And that's before we get 366 00:21:04,600 --> 00:21:08,320 Speaker 1: to the last educational component of We've now got many 367 00:21:08,440 --> 00:21:11,680 Speaker 1: low wage household suffering, not only our math scores suffering, 368 00:21:11,680 --> 00:21:14,640 Speaker 1: which need in person care and elementary schools, but low 369 00:21:14,680 --> 00:21:18,560 Speaker 1: wage household suffering dropouts not getting access to online education, 370 00:21:19,000 --> 00:21:23,720 Speaker 1: and it really is exacerbating inequalities and diminishing that labor poort. 371 00:21:23,960 --> 00:21:26,360 Speaker 1: Going forward, Let's pick up on that word inequality. There 372 00:21:26,359 --> 00:21:28,800 Speaker 1: the structural issues. Let's talk about some of the cyclical 373 00:21:28,880 --> 00:21:33,000 Speaker 1: slack this feed has been conditioned to understand. Now, Chairman 374 00:21:33,040 --> 00:21:35,800 Speaker 1: pal chair yelling, now, Secretary yelling. They need to run 375 00:21:35,800 --> 00:21:38,840 Speaker 1: this a whole lot longer to really reduce and eradicate 376 00:21:38,840 --> 00:21:40,879 Speaker 1: any cyclical slack that is left. They learned that in 377 00:21:40,880 --> 00:21:43,879 Speaker 1: the last cycle. They're applying that conditioning to this cycle. 378 00:21:43,920 --> 00:21:46,600 Speaker 1: And Dan, I wonder how difficult this is going to 379 00:21:46,680 --> 00:21:49,000 Speaker 1: be to calibrate, because if the Federal Reserve is committed 380 00:21:49,000 --> 00:21:52,120 Speaker 1: to doing that, then as a market participant, I'm committed 381 00:21:52,160 --> 00:21:54,359 Speaker 1: to allocating to risk assets as well. So how on 382 00:21:54,400 --> 00:21:56,960 Speaker 1: earth do you close that gap if monetary policy is 383 00:21:57,000 --> 00:22:01,040 Speaker 1: one of the tools you're using to do it. Yeah, 384 00:22:01,119 --> 00:22:04,280 Speaker 1: it's really Monetary policy is such a crude tool on this, 385 00:22:04,440 --> 00:22:07,520 Speaker 1: and I think fiscal policy is so much better at 386 00:22:07,560 --> 00:22:11,560 Speaker 1: removing the hurdles to inequality. We're gonna need summer schools 387 00:22:11,600 --> 00:22:13,960 Speaker 1: to make up for some of this inequality. We're gonna 388 00:22:14,000 --> 00:22:16,600 Speaker 1: need to re engage students that have dropped out of 389 00:22:16,640 --> 00:22:19,480 Speaker 1: college twice the pace they've dropped out in households earning 390 00:22:19,560 --> 00:22:22,720 Speaker 1: less than seventy five thousand dollars a year. So all 391 00:22:22,800 --> 00:22:26,000 Speaker 1: of that requires more fiscal policy than monetary policy, and 392 00:22:26,040 --> 00:22:28,720 Speaker 1: monetary policy kind of running that, you know, sort of 393 00:22:28,760 --> 00:22:31,639 Speaker 1: and you allude to it, Yes, low rates for a 394 00:22:31,680 --> 00:22:34,879 Speaker 1: long time if you overshoot what you thought was full employment. 395 00:22:34,920 --> 00:22:37,720 Speaker 1: And Powell has really embraced this idea to run the 396 00:22:37,720 --> 00:22:40,359 Speaker 1: economy hot, to bring in more of those workers that 397 00:22:40,359 --> 00:22:43,160 Speaker 1: are now most damaged, narrow that gap between the black 398 00:22:43,240 --> 00:22:46,560 Speaker 1: unemployment rate and the white unemployment rate, in particular, looking 399 00:22:46,600 --> 00:22:50,359 Speaker 1: at different employment to population ratios, trying to think of 400 00:22:50,400 --> 00:22:53,159 Speaker 1: this much more nuanced um in terms of what is 401 00:22:53,160 --> 00:22:55,520 Speaker 1: full employment. Well, that's only one tool, but that's a 402 00:22:55,560 --> 00:22:58,160 Speaker 1: really crude tool. And we also know the New York 403 00:22:58,160 --> 00:23:00,199 Speaker 1: Fed has done a study that in fact, you know, 404 00:23:00,280 --> 00:23:04,120 Speaker 1: running the economy hot with low rates also exacerbates inequality 405 00:23:04,119 --> 00:23:06,520 Speaker 1: and wealth and that's something that we have to deal 406 00:23:06,560 --> 00:23:09,080 Speaker 1: with as well. So I think that's the hard part. 407 00:23:09,119 --> 00:23:11,879 Speaker 1: Getting the economy hot is also still an unknown. All 408 00:23:11,920 --> 00:23:14,840 Speaker 1: these people worried about inflation out there. It we could 409 00:23:14,880 --> 00:23:17,400 Speaker 1: see a flare of inflation, but to have the kind 410 00:23:17,400 --> 00:23:20,960 Speaker 1: of wage push inflation we saw, say in the nineteen seventies, 411 00:23:21,240 --> 00:23:25,000 Speaker 1: overlaid with the opeque inflation we saw in the nineteen 412 00:23:25,040 --> 00:23:29,119 Speaker 1: seventies of stag inflation back then. Research suggests that of 413 00:23:29,119 --> 00:23:31,399 Speaker 1: wages in the U. S economy were tied to a 414 00:23:31,400 --> 00:23:34,320 Speaker 1: cost of living increase that was well and beyond any 415 00:23:34,440 --> 00:23:36,840 Speaker 1: union contracts out there. Remember my dad would come home 416 00:23:37,040 --> 00:23:40,080 Speaker 1: with this extra cola increase as a GM executive back 417 00:23:40,119 --> 00:23:42,560 Speaker 1: in the late seventies and be excited that he got 418 00:23:42,560 --> 00:23:46,040 Speaker 1: that extra bonus in addition to his races he was getting. 419 00:23:46,440 --> 00:23:48,560 Speaker 1: That's not the world we live in today, and I 420 00:23:48,640 --> 00:23:52,600 Speaker 1: think people the context of inflation is very different than 421 00:23:52,640 --> 00:23:55,000 Speaker 1: it once. What which brings in the fifteen dollar minimum 422 00:23:55,000 --> 00:23:57,760 Speaker 1: wage debate which is being had in Washington, d c. 423 00:23:58,040 --> 00:24:00,800 Speaker 1: Right whether or not to include that in the stimulus plan. 424 00:24:00,920 --> 00:24:02,880 Speaker 1: A lot of people saying just take it out, it's 425 00:24:02,880 --> 00:24:06,720 Speaker 1: a hot potato. The CBO, which is a nonpartisan group 426 00:24:06,760 --> 00:24:08,880 Speaker 1: that took a look at this, found that it would 427 00:24:08,960 --> 00:24:12,439 Speaker 1: lead to fewer jobs, but it would reduce the amount 428 00:24:12,440 --> 00:24:15,560 Speaker 1: of poverty in the economy. What's your view, I mean, 429 00:24:15,600 --> 00:24:18,359 Speaker 1: do you think that it would help generate the kind 430 00:24:18,520 --> 00:24:22,960 Speaker 1: of income growth, boost to inflation, boost economic prosperity to 431 00:24:23,040 --> 00:24:28,399 Speaker 1: raise this or would it actually harm it? Well, it 432 00:24:28,480 --> 00:24:30,800 Speaker 1: really is. This is a much more nuanced debate, and 433 00:24:30,880 --> 00:24:33,440 Speaker 1: one of the things I do think the evidence on 434 00:24:33,560 --> 00:24:36,640 Speaker 1: minimum wage has really shifted a lot of economist views 435 00:24:36,640 --> 00:24:38,959 Speaker 1: on it. It didn't destroy as many jobs over that 436 00:24:39,000 --> 00:24:41,280 Speaker 1: period of time. It's almost a one for one, not 437 00:24:41,440 --> 00:24:43,920 Speaker 1: quite a million people taken out a poverty, a million 438 00:24:43,960 --> 00:24:46,200 Speaker 1: and a half jobs loss. If some of those jobs 439 00:24:46,200 --> 00:24:48,720 Speaker 1: were no longer people working two jobs, that's a good thing. 440 00:24:49,160 --> 00:24:51,480 Speaker 1: But the more nuanced view of it that I think 441 00:24:51,560 --> 00:24:54,400 Speaker 1: is really important is places where you know you're trying 442 00:24:54,400 --> 00:24:59,000 Speaker 1: to bring up small companies back online, small business back online. 443 00:24:59,280 --> 00:25:02,680 Speaker 1: While large chain is already moving to fifteen dollars an hour, 444 00:25:02,960 --> 00:25:08,199 Speaker 1: they're effectively accelerating the consolidation and diminishing the dynamism of 445 00:25:08,200 --> 00:25:10,760 Speaker 1: the U. S economy and making it very hard for 446 00:25:10,800 --> 00:25:15,280 Speaker 1: these smaller restaurants, smaller business, and smaller retailers to compete. 447 00:25:15,480 --> 00:25:17,960 Speaker 1: And although I embrace the minimum wage and think that 448 00:25:18,000 --> 00:25:20,840 Speaker 1: it can lift the fortunes of many and it is 449 00:25:20,880 --> 00:25:23,680 Speaker 1: a phase in process, I think we need to think 450 00:25:23,680 --> 00:25:25,560 Speaker 1: of it as much more nuanced touff, how do we 451 00:25:25,760 --> 00:25:28,680 Speaker 1: help those companies that have a harder time coming back 452 00:25:28,720 --> 00:25:32,320 Speaker 1: online after being just hammered by the pandemics. So in 453 00:25:32,359 --> 00:25:34,880 Speaker 1: the context of where we're at. I do think it's 454 00:25:34,880 --> 00:25:36,880 Speaker 1: important to talk about a minimum wage, but I also 455 00:25:36,880 --> 00:25:39,360 Speaker 1: think you need to think about what kind of consolidation. 456 00:25:39,400 --> 00:25:41,400 Speaker 1: What are small business is going to need to do 457 00:25:41,720 --> 00:25:44,320 Speaker 1: to be able to embrace that minimum wage in a 458 00:25:44,320 --> 00:25:47,720 Speaker 1: way that's most productive for the US economy, and that's 459 00:25:47,880 --> 00:25:50,879 Speaker 1: much harder. We know that large chains, large fast food 460 00:25:50,880 --> 00:25:54,480 Speaker 1: restaurants in particular, pass along the increases of the minimum wage, 461 00:25:54,640 --> 00:25:57,440 Speaker 1: not in job cuts, but in higher prices. It's a 462 00:25:57,480 --> 00:26:00,359 Speaker 1: step function. It's not something that we can't absorb or 463 00:26:00,400 --> 00:26:02,159 Speaker 1: but I think we need to think about how do 464 00:26:02,280 --> 00:26:05,360 Speaker 1: smaller companies that want to come back online deal with 465 00:26:05,600 --> 00:26:08,439 Speaker 1: this in the areas where the minimum wages the lowest, 466 00:26:08,440 --> 00:26:12,520 Speaker 1: So Diana, Given how nuanced this is and how disproportionately 467 00:26:12,600 --> 00:26:15,120 Speaker 1: the big companies and the small companies have been affected 468 00:26:15,720 --> 00:26:18,920 Speaker 1: by the current economic backdrop, what are you proposing? I mean, 469 00:26:18,920 --> 00:26:21,920 Speaker 1: do you see a place for universal income? What is 470 00:26:22,119 --> 00:26:27,560 Speaker 1: the sort of transmission mechanism to even out the playing field? Well, 471 00:26:27,600 --> 00:26:30,880 Speaker 1: I think one of the transmission mechanisms we've already talked about. 472 00:26:30,880 --> 00:26:32,960 Speaker 1: You know, increased cashier jobs are not going to be 473 00:26:33,000 --> 00:26:35,720 Speaker 1: as necessary. We've seen restaurants move online a lot of 474 00:26:35,840 --> 00:26:37,800 Speaker 1: ordering is going to be done before you even show 475 00:26:37,840 --> 00:26:39,720 Speaker 1: up at the restaurant. You could imagine now, So it's 476 00:26:39,720 --> 00:26:42,160 Speaker 1: going to be reduced need for weight staff in different ways, 477 00:26:42,160 --> 00:26:44,200 Speaker 1: and the weight staff is going to provide different kinds 478 00:26:44,200 --> 00:26:48,000 Speaker 1: of um roles. And they did pre pandemic. So there's 479 00:26:48,080 --> 00:26:49,720 Speaker 1: that issue out there, and I think one of the 480 00:26:49,760 --> 00:26:51,520 Speaker 1: things we still need to get to, and it gets 481 00:26:51,520 --> 00:26:55,480 Speaker 1: to investment in infrastructure, but it's restorative policies. Everything from 482 00:26:55,640 --> 00:26:58,480 Speaker 1: year round schooling to catch up on what we've lost. 483 00:26:58,760 --> 00:27:01,920 Speaker 1: We're gonna need retrain programs. We're gonna need training programs 484 00:27:01,960 --> 00:27:05,160 Speaker 1: to allow people to move up in wage group. What 485 00:27:05,200 --> 00:27:07,600 Speaker 1: we've seen in the past is middle wage earners have 486 00:27:07,760 --> 00:27:10,120 Speaker 1: lost their jobs and then taking a low wage job. 487 00:27:10,400 --> 00:27:13,119 Speaker 1: We've seen low age job workers take another low wage 488 00:27:13,200 --> 00:27:15,560 Speaker 1: job when they lost their job. Now we're talking about 489 00:27:15,600 --> 00:27:18,680 Speaker 1: reducing the number of low age jobs out there, and 490 00:27:18,720 --> 00:27:21,159 Speaker 1: that's something that I think we have to offset with 491 00:27:21,240 --> 00:27:25,800 Speaker 1: fiscal policy that includes training, that includes more investment in 492 00:27:26,160 --> 00:27:28,960 Speaker 1: community colleges, all of those kinds of things that allows 493 00:27:29,000 --> 00:27:32,239 Speaker 1: people to make this transition to a higher wage and 494 00:27:32,359 --> 00:27:34,480 Speaker 1: more productive wage in a world that's going to be 495 00:27:34,520 --> 00:27:38,080 Speaker 1: more technologically savvy. We've been. A pandemic has been an 496 00:27:38,080 --> 00:27:41,880 Speaker 1: accelerant in our embrace of technology. We've learned to use 497 00:27:41,920 --> 00:27:44,760 Speaker 1: things that we're in existence that we didn't. Even my 498 00:27:44,840 --> 00:27:47,360 Speaker 1: husband now knows how to use the Universal remote. That's 499 00:27:47,359 --> 00:27:52,280 Speaker 1: a big Stummily, that's a big that's a really big 500 00:27:52,320 --> 00:27:57,080 Speaker 1: stick accelerated, but you know, these are things. It's accelerated 501 00:27:57,080 --> 00:28:00,359 Speaker 1: that shift. But also in accelerating that shifted excel a rated. 502 00:28:00,440 --> 00:28:02,919 Speaker 1: You know, we now have gig workers delivering stuff to us. 503 00:28:02,960 --> 00:28:05,199 Speaker 1: That's a very different kind of job than some of 504 00:28:05,200 --> 00:28:08,119 Speaker 1: these low workers had. That's got even less um security 505 00:28:08,160 --> 00:28:09,919 Speaker 1: on it. So I think we really need to be 506 00:28:10,000 --> 00:28:13,640 Speaker 1: thinking holistically and it's going to require fiscal policy as well. 507 00:28:14,000 --> 00:28:18,040 Speaker 1: Dance Swunk quite simply one of the best. Thank you, 508 00:28:26,840 --> 00:28:31,080 Speaker 1: Michael Nathanson Moffa Nathanson, Senior Research Analysts on what we 509 00:28:31,160 --> 00:28:34,360 Speaker 1: have wrought, what we've learned through the pandemic. Michael, you've 510 00:28:34,400 --> 00:28:38,760 Speaker 1: been what I'm gonna call constructive on Disney, but you 511 00:28:38,800 --> 00:28:42,560 Speaker 1: were not an uber Bowl. What surprised you about the 512 00:28:42,640 --> 00:28:48,080 Speaker 1: Disney Plus? What was the lessons learned from Disney Plus? Well, 513 00:28:48,160 --> 00:28:51,720 Speaker 1: I'll tell you what lessons learned Disney Plus have been 514 00:28:52,240 --> 00:28:55,200 Speaker 1: the adoption hasn't much stronger in the first year than 515 00:28:55,280 --> 00:28:57,160 Speaker 1: we ever imagined. And I remember a couple years ago 516 00:28:57,200 --> 00:29:00,320 Speaker 1: fighting with clients about how big could be. But it's 517 00:29:00,360 --> 00:29:02,440 Speaker 1: literally been a double triple what we thought it was, 518 00:29:02,640 --> 00:29:05,480 Speaker 1: you know, two years ago, right, and and and it 519 00:29:05,520 --> 00:29:07,760 Speaker 1: could have been the pandemic, but also could be just 520 00:29:07,920 --> 00:29:11,320 Speaker 1: great execution on Disney. And I give the company a 521 00:29:11,320 --> 00:29:14,600 Speaker 1: ton of credit because they took this challenge on head 522 00:29:14,600 --> 00:29:18,160 Speaker 1: on and they've executed so well against it. So there's 523 00:29:18,160 --> 00:29:20,920 Speaker 1: a question here of whether there's a broader lesson that 524 00:29:21,000 --> 00:29:23,120 Speaker 1: perhaps there's more room to grow and there are more 525 00:29:23,160 --> 00:29:27,560 Speaker 1: subscription subscription streams, uh that consumers are willing to have 526 00:29:27,720 --> 00:29:30,160 Speaker 1: if we see the same kind of growth at Netflix 527 00:29:30,280 --> 00:29:32,680 Speaker 1: that we now see at Disney Plus. And then some 528 00:29:33,400 --> 00:29:36,479 Speaker 1: is there some takeaway, some broader takeaway about the future 529 00:29:36,520 --> 00:29:39,440 Speaker 1: of streaming and the potential profitability there that's making you 530 00:29:39,480 --> 00:29:43,560 Speaker 1: reassess your calls. Well, that's that's a good question. We're 531 00:29:43,560 --> 00:29:46,720 Speaker 1: trying to figure out how much of the adoption of 532 00:29:46,760 --> 00:29:48,760 Speaker 1: past year has been due to the pandemic. You know, 533 00:29:48,800 --> 00:29:51,080 Speaker 1: I listened to you guys and earlier that Thoma has 534 00:29:51,120 --> 00:29:54,320 Speaker 1: been stuck at home so often, and and the question 535 00:29:54,400 --> 00:29:58,200 Speaker 1: is when we start opening up back to normal, will 536 00:29:58,240 --> 00:30:01,440 Speaker 1: there be a bit of a state on on streaming adoption. 537 00:30:01,480 --> 00:30:04,680 Speaker 1: But with that said, I think what we're seeing, and 538 00:30:04,720 --> 00:30:06,360 Speaker 1: this is a question you guys I was asking me, 539 00:30:06,400 --> 00:30:10,680 Speaker 1: is you're seeing court cutting, you know, remain really problematic. 540 00:30:11,200 --> 00:30:15,040 Speaker 1: Consumers are finding surplus from court cutting, and they're taking 541 00:30:15,040 --> 00:30:18,080 Speaker 1: that surplus and the's spending it on streaming services. And 542 00:30:18,120 --> 00:30:20,760 Speaker 1: that's going to continue for a long time. UM. I 543 00:30:20,800 --> 00:30:22,920 Speaker 1: think of anything, the rethought for us, this has been 544 00:30:22,920 --> 00:30:25,240 Speaker 1: true for our Netflix work as well, has been the 545 00:30:25,280 --> 00:30:30,280 Speaker 1: adoption overseas inter nationally of streaming. You know, historically there's 546 00:30:30,320 --> 00:30:33,840 Speaker 1: not been a huge market for television outside the US 547 00:30:33,880 --> 00:30:36,480 Speaker 1: pay TV, but this has changed things and they're more 548 00:30:36,520 --> 00:30:40,360 Speaker 1: adoption overseas than we ever thought. Michael, there's a lot 549 00:30:40,400 --> 00:30:42,080 Speaker 1: to unpack there. I want to pick up on one 550 00:30:42,080 --> 00:30:44,200 Speaker 1: point you were talking about this idea of how much 551 00:30:44,440 --> 00:30:46,480 Speaker 1: this is just due to the pandemic and how much 552 00:30:46,520 --> 00:30:51,440 Speaker 1: this has longer lasting trend implications. What are the streaming 553 00:30:51,480 --> 00:30:55,120 Speaker 1: services replacing if not for the cable cord that would 554 00:30:55,120 --> 00:30:58,360 Speaker 1: have been their pandemic or not well, Lisa, you know, 555 00:30:59,320 --> 00:31:03,240 Speaker 1: people look at consumer spending on entertainment. Clearly, not going 556 00:31:03,320 --> 00:31:07,320 Speaker 1: to theaters is is a major class savings. Not not 557 00:31:07,480 --> 00:31:11,120 Speaker 1: buying package media what's left of it, maybe even not 558 00:31:11,200 --> 00:31:14,160 Speaker 1: going to entertainment like sports or theme parks. Right, so, 559 00:31:14,200 --> 00:31:17,920 Speaker 1: if you look at consumer spending, you know, the shutdown 560 00:31:18,000 --> 00:31:20,240 Speaker 1: of options out of the home, it gets created a 561 00:31:20,320 --> 00:31:23,440 Speaker 1: huge surplus for consumers. Michael, we didn't have jan because 562 00:31:23,480 --> 00:31:25,120 Speaker 1: we want to talk to you about sell side. The 563 00:31:25,160 --> 00:31:28,040 Speaker 1: fact is Taylor Riggs is buried in a PhD course 564 00:31:28,120 --> 00:31:30,560 Speaker 1: in M and A and she said, get Nathan sent 565 00:31:30,720 --> 00:31:32,440 Speaker 1: on so you can give me an a plus. Let's 566 00:31:32,440 --> 00:31:37,240 Speaker 1: do it, Michael. Right now, her exercises who Apple should buy? 567 00:31:37,560 --> 00:31:41,360 Speaker 1: Can Apple buy Netflix? Is that? Why would Apple would 568 00:31:41,360 --> 00:31:46,680 Speaker 1: that cash flow want to buy Netflix. Apple should not 569 00:31:46,720 --> 00:31:49,800 Speaker 1: buy Netflix because Netflix has a radio achieved the dream. 570 00:31:49,840 --> 00:31:54,960 Speaker 1: Apple should buy HBO and Warner you know, and Warner 571 00:31:55,000 --> 00:31:59,120 Speaker 1: Brothers out of a T and T because that dream 572 00:31:59,160 --> 00:32:03,760 Speaker 1: has not been realized. As you basically need Apples balance 573 00:32:03,800 --> 00:32:08,600 Speaker 1: sheet into Apples Apple's distribution globally. Right, so you can 574 00:32:08,640 --> 00:32:11,920 Speaker 1: take an asset like HBO, Max and Warner Brothers and 575 00:32:12,000 --> 00:32:15,640 Speaker 1: turbocharge it and rather than pay Netflix. That upside you 576 00:32:15,680 --> 00:32:17,920 Speaker 1: can create yourself. And that's what I would do if 577 00:32:17,920 --> 00:32:21,440 Speaker 1: I was Apple. Culturally, can they do it? As you know, Michael, 578 00:32:21,520 --> 00:32:26,440 Speaker 1: this is critical see Fox Disney. Culturally. Could Apple deal 579 00:32:26,680 --> 00:32:31,080 Speaker 1: with the Hollywood of Warner HBO? Well, it's Tom's a 580 00:32:31,080 --> 00:32:35,560 Speaker 1: great question. So far, questions Taylor Riggs continue, Thank you, 581 00:32:37,360 --> 00:32:41,240 Speaker 1: it's so Taylor. The so far, the two of the 582 00:32:41,400 --> 00:32:44,520 Speaker 1: three winners and streaming have built it themselves, right, There's 583 00:32:44,560 --> 00:32:49,440 Speaker 1: been no Hollywood acquisition itself built. The issue that Apple 584 00:32:49,480 --> 00:32:52,800 Speaker 1: faces is that they're they're lagging. They really are, that 585 00:32:52,920 --> 00:32:55,520 Speaker 1: we are. Survey works shows them to be really in 586 00:32:55,560 --> 00:32:57,600 Speaker 1: six with the seventh place right now. So they need 587 00:32:57,640 --> 00:33:00,800 Speaker 1: to do something to get in the game, and I 588 00:33:00,840 --> 00:33:03,760 Speaker 1: think they don't have the time to build to buy. 589 00:33:03,880 --> 00:33:06,160 Speaker 1: That's what I would take. Taylor writes in to say 590 00:33:06,200 --> 00:33:08,920 Speaker 1: thank you very much for that advice, and she does 591 00:33:08,960 --> 00:33:11,640 Speaker 1: plan to get an A plus. There is a question though, 592 00:33:11,880 --> 00:33:14,360 Speaker 1: with the cash piles and some of big text balance 593 00:33:14,400 --> 00:33:15,840 Speaker 1: sheet and the idea that they all want to get 594 00:33:15,840 --> 00:33:19,280 Speaker 1: into entertainment, especially the apples of the world, and now 595 00:33:19,360 --> 00:33:21,160 Speaker 1: of course Amazon has already been in. It has a 596 00:33:21,160 --> 00:33:24,280 Speaker 1: big footprint at what point does M and A raise 597 00:33:24,360 --> 00:33:27,680 Speaker 1: concerns from an antitrust standpoint in Washington, d C. Given 598 00:33:27,720 --> 00:33:31,320 Speaker 1: the current administration. That's a good question. I don't think 599 00:33:31,360 --> 00:33:33,640 Speaker 1: we will see any of our companies we cover, Facebook 600 00:33:33,640 --> 00:33:38,360 Speaker 1: and Google or Alphabet buying um company that close to 601 00:33:38,400 --> 00:33:41,720 Speaker 1: their core business. I think of Apple buys a video 602 00:33:41,760 --> 00:33:45,000 Speaker 1: company or Amazon does it would be just to to 603 00:33:45,160 --> 00:33:48,680 Speaker 1: compete more broadly in video and maybe drive again consumer 604 00:33:48,760 --> 00:33:53,400 Speaker 1: surplus by creating better, better products. So that doesn't worry 605 00:33:53,480 --> 00:33:56,600 Speaker 1: me as much as you know, Google buying Twitter, which 606 00:33:56,640 --> 00:34:00,280 Speaker 1: won't happen, or Facebook buying Pinterest, which won't happened, right, 607 00:34:00,320 --> 00:34:02,760 Speaker 1: So I think they really need to stay out of 608 00:34:02,760 --> 00:34:05,800 Speaker 1: their lanes, dude, to do emin at this point. Michael 609 00:34:05,880 --> 00:34:09,200 Speaker 1: Nathanson brilliant, Really really appreciate it. Taylor riggsuns are loving 610 00:34:09,239 --> 00:34:12,760 Speaker 1: as well. Michael Nathanson with motht Nathanson, some real smart 611 00:34:12,800 --> 00:34:17,040 Speaker 1: discussion there. Thanks for listening to the Bloomberg Surveillance podcast. 612 00:34:17,400 --> 00:34:22,360 Speaker 1: Subscribe and listen to interviews on Apple Podcasts, SoundCloud, or 613 00:34:22,480 --> 00:34:26,800 Speaker 1: whichever podcast platform you prefer. I'm on Twitter at Tom 614 00:34:26,920 --> 00:34:30,799 Speaker 1: Keane before the podcast, you can always catch us worldwide. 615 00:34:31,239 --> 00:34:32,320 Speaker 1: I'm Bloomberg Radio,