1 00:00:09,840 --> 00:00:13,840 Speaker 1: Welcome to the Bloomberg Surveillance Podcast and I'm term Keene Jaiye. 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 --> 00:00:23,520 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,600 --> 00:00:27,400 Speaker 1: Bloomberg dot Com, and of course on the Bloomberg Joining 5 00:00:27,440 --> 00:00:29,200 Speaker 1: us now in place to say, it's Ben Lagla Tella 6 00:00:29,280 --> 00:00:32,800 Speaker 1: hud some research ceo. Then the story really over the 7 00:00:32,840 --> 00:00:35,760 Speaker 1: last week hasn't changed. It's the short term risk the 8 00:00:35,800 --> 00:00:39,199 Speaker 1: long term opportunity. Does the news this morning help us 9 00:00:39,240 --> 00:00:41,400 Speaker 1: become just a little bit more tolerant as some of 10 00:00:41,440 --> 00:00:46,440 Speaker 1: the negative stories we've heard across America over the weekend. Absolutely, 11 00:00:46,479 --> 00:00:48,440 Speaker 1: I mean it gives you more visibility, I think on 12 00:00:48,520 --> 00:00:51,760 Speaker 1: where we're going. I think it accelerates this sort of 13 00:00:51,880 --> 00:00:55,440 Speaker 1: rotation into cyclicals and maybe value that the market but 14 00:00:55,560 --> 00:00:57,080 Speaker 1: sort of been trying to make, but as it has 15 00:00:57,160 --> 00:01:00,400 Speaker 1: lacked the courage to make that leap. And I think 16 00:01:00,600 --> 00:01:02,760 Speaker 1: you're now I'm absolutely getting that we've had this sort 17 00:01:02,760 --> 00:01:05,280 Speaker 1: of double catalyst of we're now through the election and 18 00:01:05,319 --> 00:01:07,280 Speaker 1: we can sort of face forward into what I think 19 00:01:07,360 --> 00:01:10,080 Speaker 1: is going to be a very big sort of growth 20 00:01:10,120 --> 00:01:14,160 Speaker 1: rebound and and the vaccine or the incremental vaccine news. 21 00:01:14,160 --> 00:01:16,560 Speaker 1: I think we've got a lot more still to come here. Um, 22 00:01:16,600 --> 00:01:18,280 Speaker 1: you know, it helps us sort of bridge that gap, 23 00:01:18,319 --> 00:01:20,720 Speaker 1: if you like, over these sort of winter infection spike 24 00:01:21,080 --> 00:01:25,240 Speaker 1: to you know, a gradual sort of renormalization of activity 25 00:01:25,440 --> 00:01:27,000 Speaker 1: and and the way to play do these these sort 26 00:01:27,040 --> 00:01:29,600 Speaker 1: of tychnical stocks, which is where I think we're massively 27 00:01:29,680 --> 00:01:33,200 Speaker 1: underestimating the sort of operating leverage. Ben. You have been 28 00:01:33,280 --> 00:01:35,880 Speaker 1: way out, way out, way out front, and there's what 29 00:01:36,000 --> 00:01:39,480 Speaker 1: we have is a distributed base with maybe some catharsis 30 00:01:39,480 --> 00:01:43,200 Speaker 1: of chorus in March or April. What's your percentage up 31 00:01:43,440 --> 00:01:48,000 Speaker 1: visibility out twelve months out, twenty four months out, thirty 32 00:01:48,040 --> 00:01:53,040 Speaker 1: six months. How big is the Ladler leap Listen, I 33 00:01:53,240 --> 00:01:54,800 Speaker 1: think it's huge. I mean I just to give you 34 00:01:54,880 --> 00:01:56,640 Speaker 1: so if you like the sort of tip of this, right, 35 00:01:56,680 --> 00:01:58,800 Speaker 1: if I look at those sort of reopening stocks, the 36 00:01:58,880 --> 00:02:01,480 Speaker 1: ones that have been sort of most impacted by this, 37 00:02:01,720 --> 00:02:04,440 Speaker 1: even with all the rally over the last couple of weeks, 38 00:02:04,480 --> 00:02:07,600 Speaker 1: I mean, they've still underperformed this sort of market darling 39 00:02:07,760 --> 00:02:10,239 Speaker 1: sort of work from home stocks by the eighty percentage 40 00:02:10,240 --> 00:02:13,920 Speaker 1: points that nearly four times priced the book cheaper are 41 00:02:13,919 --> 00:02:17,280 Speaker 1: they're not making any money? Um, there's been where all 42 00:02:17,360 --> 00:02:19,960 Speaker 1: the biggest surprises and third quarter earnings have come from 43 00:02:20,000 --> 00:02:23,160 Speaker 1: on this on the sort of positive side. And you 44 00:02:23,200 --> 00:02:27,200 Speaker 1: know revenues are still down between thirty two over so 45 00:02:27,320 --> 00:02:28,919 Speaker 1: you know that's your sort of order of magnitude. I 46 00:02:28,919 --> 00:02:32,560 Speaker 1: think this rotation has sort of barely it's frankly barely 47 00:02:32,560 --> 00:02:35,280 Speaker 1: getting started. And and the other thing I would say is, 48 00:02:35,400 --> 00:02:37,000 Speaker 1: you know, the other sort of fuel on this fire 49 00:02:37,360 --> 00:02:39,600 Speaker 1: is invested positioning. And we've been saying for a while 50 00:02:39,639 --> 00:02:42,280 Speaker 1: how cautious it's been, but just in the last week 51 00:02:42,320 --> 00:02:45,000 Speaker 1: you've seen it begin to turn and actually turned quite dramatically, 52 00:02:45,000 --> 00:02:47,720 Speaker 1: And that I think is you know, the fuel that's 53 00:02:47,720 --> 00:02:49,920 Speaker 1: going to come into the market here. So, Ben, what 54 00:02:50,080 --> 00:02:52,640 Speaker 1: on a day like today are you actually buying or doing? 55 00:02:52,680 --> 00:02:54,400 Speaker 1: I mean, there is this feeling that long term it's 56 00:02:54,440 --> 00:02:57,280 Speaker 1: going to be a good scenario. Short term still a 57 00:02:57,280 --> 00:03:00,360 Speaker 1: lot of volatility. Are you active on a day like today? 58 00:03:02,440 --> 00:03:04,720 Speaker 1: Listen if you're you know, your average investor is not 59 00:03:04,800 --> 00:03:07,560 Speaker 1: carrying anything like as much risk I think as they 60 00:03:07,600 --> 00:03:09,639 Speaker 1: as they should be. Right now, you know what overweight 61 00:03:09,720 --> 00:03:13,760 Speaker 1: small cap overweight industrials will overweight real estate consumer durables, 62 00:03:13,760 --> 00:03:16,520 Speaker 1: and we're not over all cyclicals or even all value. 63 00:03:16,520 --> 00:03:19,240 Speaker 1: I think it's as much more cyclical story really than 64 00:03:19,160 --> 00:03:20,920 Speaker 1: than a sort of value story. I'd make a small 65 00:03:20,919 --> 00:03:24,440 Speaker 1: distinction there, but but yes, i'd be focusing on where 66 00:03:24,480 --> 00:03:27,960 Speaker 1: where are you getting the most operating leverage to the 67 00:03:28,000 --> 00:03:31,560 Speaker 1: sort of fear of the virus beginning to moderate over 68 00:03:31,600 --> 00:03:34,080 Speaker 1: the next few months. And again I think it's you know, 69 00:03:34,200 --> 00:03:38,360 Speaker 1: in these small caps industrials and real estate particularly, and 70 00:03:38,400 --> 00:03:40,840 Speaker 1: it takes you outside the United States, I imagine as well, Ben, 71 00:03:40,840 --> 00:03:43,000 Speaker 1: if you really want to get that high leverage play 72 00:03:43,040 --> 00:03:45,000 Speaker 1: on the reopening of a vaccine, it's got to take 73 00:03:45,000 --> 00:03:47,080 Speaker 1: you to Europe, which has been beaten up so badly, 74 00:03:47,360 --> 00:03:50,600 Speaker 1: and it has that mechanical, that composition towards the names 75 00:03:50,640 --> 00:03:52,480 Speaker 1: the things that you're talking about, Ben, can you walk 76 00:03:52,520 --> 00:03:55,839 Speaker 1: me through your Europe called right now? You're a band? 77 00:03:55,840 --> 00:03:57,480 Speaker 1: And I would also say the sort of cyclical bit 78 00:03:57,480 --> 00:04:00,640 Speaker 1: of emerging markets, so so yes, so domestic cyclicals in 79 00:04:00,640 --> 00:04:03,800 Speaker 1: Europe for US, that's sort of financials. It's pretty much 80 00:04:03,800 --> 00:04:06,480 Speaker 1: the cheapest, most hated and one of the larger sort 81 00:04:06,480 --> 00:04:08,600 Speaker 1: of sectors in Europe where you know, we're overweight. We're 82 00:04:08,640 --> 00:04:11,480 Speaker 1: overweight there, but also within EM right, I mean everybody 83 00:04:11,480 --> 00:04:13,520 Speaker 1: including US has been sort of hiding out in China 84 00:04:13,560 --> 00:04:16,159 Speaker 1: and North Asia first in, first out, but you know 85 00:04:16,200 --> 00:04:18,680 Speaker 1: the rest of the M is really you're much more 86 00:04:18,720 --> 00:04:21,039 Speaker 1: cyclical bit of em you know, very similar to this 87 00:04:21,080 --> 00:04:24,600 Speaker 1: sort of you know US reopening story, very depressed earnings 88 00:04:24,760 --> 00:04:27,400 Speaker 1: and a lot of operating lebridge. I guess the you know, 89 00:04:27,440 --> 00:04:30,479 Speaker 1: the one caveat just on Europe is it's just watched 90 00:04:30,520 --> 00:04:32,120 Speaker 1: the dollar and and the flip side of that the 91 00:04:32,120 --> 00:04:34,039 Speaker 1: strength of the euro um. You know a lot of 92 00:04:34,040 --> 00:04:37,360 Speaker 1: these European corporates um, you know sort of very very global, 93 00:04:37,480 --> 00:04:40,080 Speaker 1: very international. So you know, to the extent we get 94 00:04:40,080 --> 00:04:42,520 Speaker 1: you know, too much of a euro move, that's definitely 95 00:04:42,520 --> 00:04:45,040 Speaker 1: a headwind. But yes, broadly Europe, you know, much cheaper, 96 00:04:45,160 --> 00:04:49,000 Speaker 1: much more depressed earnings. Uh and and and just seeing 97 00:04:49,040 --> 00:04:51,680 Speaker 1: a lot more operating libradge here ben greater catch up 98 00:04:51,800 --> 00:04:54,720 Speaker 1: as always been later there of Tower Hudson Research. Thank you, sir, 99 00:04:54,800 --> 00:05:01,159 Speaker 1: Thank you very much. Know we're gonna do a Lisa 100 00:05:01,240 --> 00:05:03,600 Speaker 1: John and I feel is really important. Yes, we do 101 00:05:03,640 --> 00:05:07,840 Speaker 1: the markets, we do economics, we do the politics, international relations, 102 00:05:07,880 --> 00:05:10,920 Speaker 1: but you need to understand the science of what we're 103 00:05:10,920 --> 00:05:14,719 Speaker 1: talking about. Robert Murphy has acclaimed at Northwestern University in 104 00:05:14,800 --> 00:05:18,239 Speaker 1: infectious diseases and one time, long ago and far away 105 00:05:18,279 --> 00:05:22,679 Speaker 1: went through Leninger's biochemistry. Dr Murphy, good morning. I want 106 00:05:22,720 --> 00:05:27,600 Speaker 1: you to explain in the King's English how messenger RNA 107 00:05:28,320 --> 00:05:32,360 Speaker 1: goes into the cell, comes out to the cytoplasm and 108 00:05:32,560 --> 00:05:39,000 Speaker 1: kills this virus. Are we assured that can happen? Well, apparently, 109 00:05:39,080 --> 00:05:43,840 Speaker 1: so you've got to message messenger RNA vaccines that have 110 00:05:44,000 --> 00:05:47,400 Speaker 1: been put out there in tens of thousands of people. 111 00:05:48,720 --> 00:05:50,320 Speaker 1: This is not a small number of people. I think 112 00:05:50,360 --> 00:05:53,479 Speaker 1: the Fighter one was like over forty people in the 113 00:05:53,520 --> 00:05:56,279 Speaker 1: Maderna thirty thousand. A lot of people have taken this 114 00:05:56,400 --> 00:05:59,800 Speaker 1: vaccine and we were we would have been happy if 115 00:06:00,120 --> 00:06:03,919 Speaker 1: to your of them were protected from getting it and 116 00:06:03,960 --> 00:06:07,839 Speaker 1: their ninety and nine point This is this is really 117 00:06:07,960 --> 00:06:11,480 Speaker 1: way beyond expectations. It is it is original and m 118 00:06:11,520 --> 00:06:15,159 Speaker 1: A r n A research as well explained to our 119 00:06:15,240 --> 00:06:19,640 Speaker 1: audience what will be different in this distribution versus a 120 00:06:19,720 --> 00:06:25,679 Speaker 1: polio vaccine, a flu vaccine or more bacterial shots as well. Well. 121 00:06:25,960 --> 00:06:29,400 Speaker 1: The biggest it's it's a vaccine just like the other 122 00:06:29,440 --> 00:06:33,680 Speaker 1: ones that you mentioned. Uh M, A messenger rna is 123 00:06:33,680 --> 00:06:36,440 Speaker 1: is a really is a very small protein and it's fragile, 124 00:06:36,800 --> 00:06:38,880 Speaker 1: and so it has to be kept cold. And the 125 00:06:38,880 --> 00:06:41,640 Speaker 1: difference between the fiser and the MODERNA is how cold 126 00:06:41,680 --> 00:06:44,880 Speaker 1: does it have to keep The fisor one has to 127 00:06:44,920 --> 00:06:49,120 Speaker 1: be kept at minus seventies celsius or minus ninety fahrenheit 128 00:06:50,120 --> 00:06:53,320 Speaker 1: very cold. Uh It's doable, believe me. It can be done, 129 00:06:53,839 --> 00:06:56,800 Speaker 1: but that is going to be a challenge in the 130 00:06:56,839 --> 00:07:00,520 Speaker 1: whole cold chain supply. The MODERNA one has to be 131 00:07:00,600 --> 00:07:02,880 Speaker 1: kept cold, but then when it gets out into the market, 132 00:07:02,960 --> 00:07:07,599 Speaker 1: it can be up to basically just above freezing. So 133 00:07:07,760 --> 00:07:09,920 Speaker 1: it's gonna be a little bit easier to move that around. 134 00:07:09,960 --> 00:07:12,320 Speaker 1: But either one of them, it can happen, and we're 135 00:07:12,320 --> 00:07:15,520 Speaker 1: probably gonna need both. Dr Murphy, I'm gonna go home 136 00:07:15,520 --> 00:07:17,200 Speaker 1: today and talk with my eight year old and eleven 137 00:07:17,240 --> 00:07:19,360 Speaker 1: year old son and tell them there is a vaccine, 138 00:07:19,400 --> 00:07:23,480 Speaker 1: another efficacy study coming out, and they're gonna say, when 139 00:07:23,600 --> 00:07:27,000 Speaker 1: the pandemic gonna be over? What's the answer based on 140 00:07:27,040 --> 00:07:33,040 Speaker 1: the distribution models that you've seen A year from now? Really, yeah, 141 00:07:33,320 --> 00:07:35,280 Speaker 1: a full year, So walk us through what happens over 142 00:07:35,280 --> 00:07:38,400 Speaker 1: the next year. So what happens is so these companies 143 00:07:38,440 --> 00:07:42,080 Speaker 1: have to submit their EUAY Emergency Use authorization. You know, 144 00:07:42,200 --> 00:07:46,200 Speaker 1: the data will be gone over by an external advisory board. UH, 145 00:07:46,240 --> 00:07:48,800 Speaker 1: and they're going to make sure that it's safe. UH, 146 00:07:48,960 --> 00:07:51,120 Speaker 1: and they're going to continue to follow those patients that 147 00:07:51,160 --> 00:07:55,520 Speaker 1: are in the study. UH. Then the vaccines will be 148 00:07:55,840 --> 00:08:00,800 Speaker 1: available probably the end of December most likely. Now there'll 149 00:08:00,840 --> 00:08:05,480 Speaker 1: be maybe twenty million doses from each one of the companies, UH, 150 00:08:05,480 --> 00:08:07,960 Speaker 1: and they'll get out there, and then it's who's going 151 00:08:08,040 --> 00:08:11,560 Speaker 1: to get those first twenty million doses. Uh. You know, 152 00:08:11,680 --> 00:08:13,360 Speaker 1: right now there's a lot of reluctance in the world 153 00:08:13,360 --> 00:08:15,000 Speaker 1: to take it. They think this is going too fast, 154 00:08:15,040 --> 00:08:17,240 Speaker 1: as a lot of people that are against vaccines. But 155 00:08:17,360 --> 00:08:20,240 Speaker 1: I think once the data is out there and if 156 00:08:20,280 --> 00:08:24,160 Speaker 1: it's as good as it sounds and it's verified independently, 157 00:08:24,520 --> 00:08:26,160 Speaker 1: people are going to be lining up for this thing. 158 00:08:26,720 --> 00:08:30,200 Speaker 1: So they'll start pushing the vaccine out. And it's going 159 00:08:30,280 --> 00:08:34,480 Speaker 1: to come out in UH. Two different populations. People on 160 00:08:34,520 --> 00:08:39,520 Speaker 1: the front lines, people with high risk for severe complications, diabetics, 161 00:08:39,600 --> 00:08:44,439 Speaker 1: older people, people with underlying a cancer. For instance, the 162 00:08:44,880 --> 00:08:47,240 Speaker 1: higher risk people will get it first, and then I 163 00:08:47,320 --> 00:08:50,560 Speaker 1: would think that by the second quarter of next year, Uh, 164 00:08:50,600 --> 00:08:53,640 Speaker 1: there'll be enough companies out with the vaccines that will 165 00:08:53,760 --> 00:08:57,360 Speaker 1: it'll start really penetrating into the general population. And then 166 00:08:57,600 --> 00:09:00,840 Speaker 1: basically just go line up and get it. For our 167 00:09:00,840 --> 00:09:05,120 Speaker 1: audience worldwide on Bloomberg TV and Radio, we're with Dotor 168 00:09:05,200 --> 00:09:08,400 Speaker 1: Robert Murphy of Northwestern University off the back of some 169 00:09:08,480 --> 00:09:10,920 Speaker 1: news from Maderna that the coronavirus vaccine was found to 170 00:09:10,960 --> 00:09:14,080 Speaker 1: be ninety four point five percent effective in analysis. Dr 171 00:09:14,120 --> 00:09:15,360 Speaker 1: just give me a moment. I want to turn to 172 00:09:15,360 --> 00:09:17,320 Speaker 1: the price action just for a moment and have a 173 00:09:17,320 --> 00:09:19,680 Speaker 1: look at what's happening in the United States. Equity futures 174 00:09:19,679 --> 00:09:22,000 Speaker 1: are picking up here with a bid on the small caps. 175 00:09:22,000 --> 00:09:24,120 Speaker 1: The rustle up by two point six four percent. We 176 00:09:24,160 --> 00:09:27,280 Speaker 1: advanced forty six points tom For our audience right now, 177 00:09:27,360 --> 00:09:30,280 Speaker 1: we're grappling with the same question we grappled with last week, 178 00:09:30,520 --> 00:09:33,880 Speaker 1: how much bad news can this market ignore in the 179 00:09:33,960 --> 00:09:36,880 Speaker 1: short term on the hope that the long term looks better? 180 00:09:37,200 --> 00:09:40,040 Speaker 1: And my question would be, can you really untangle and 181 00:09:40,120 --> 00:09:43,720 Speaker 1: draw a hard distinction between those two stories? Short term 182 00:09:43,760 --> 00:09:46,720 Speaker 1: not great? Long term better? And doesn't the short term 183 00:09:46,760 --> 00:09:49,240 Speaker 1: to some degree shape what the future looks like in 184 00:09:49,240 --> 00:09:51,959 Speaker 1: this economy. There's always abellance of that. John noticed the 185 00:09:52,040 --> 00:09:54,440 Speaker 1: rud on the screen for the nurse deck one where 186 00:09:54,480 --> 00:09:57,079 Speaker 1: this is a rotation, and I would point out John, 187 00:09:57,080 --> 00:09:59,480 Speaker 1: as you go back to Dr Murphy and Chicago, I 188 00:09:59,480 --> 00:10:03,959 Speaker 1: would point out John very importantly that the rebound in 189 00:10:04,160 --> 00:10:07,800 Speaker 1: value cyclicals, midcaps and the rest of them isn't even 190 00:10:07,880 --> 00:10:11,360 Speaker 1: back to the previous regression. Yeah we came up off Fiser, 191 00:10:11,480 --> 00:10:14,120 Speaker 1: Yeah we came up off Maderna, but we're not even 192 00:10:14,160 --> 00:10:17,599 Speaker 1: back to trend. They were so discounted to I'd just 193 00:10:17,679 --> 00:10:19,880 Speaker 1: like to finish with the final question on the price 194 00:10:19,920 --> 00:10:23,080 Speaker 1: of a potential vaccine. These are private companies, some of 195 00:10:23,080 --> 00:10:25,440 Speaker 1: them half worked with the government. Any idea on how 196 00:10:25,559 --> 00:10:28,680 Speaker 1: much this might cost for governments to provide the general 197 00:10:28,720 --> 00:10:31,679 Speaker 1: public with a vaccine like this, Well, the government in 198 00:10:31,679 --> 00:10:34,120 Speaker 1: the U. S. Government has already purchased hundreds of millions 199 00:10:34,120 --> 00:10:36,480 Speaker 1: of doses. It's already paid for. It's going to go 200 00:10:36,520 --> 00:10:40,920 Speaker 1: out there free. So what it actually costs, I don't know. 201 00:10:40,960 --> 00:10:45,200 Speaker 1: It's anyone's guess. Don't great to catch you out this morning. 202 00:10:45,200 --> 00:10:47,360 Speaker 1: We appreciate your time, sir. Thank you that the Robert 203 00:10:47,400 --> 00:10:53,800 Speaker 1: Murphy there of Northwestern University. We've been looking at the 204 00:10:53,880 --> 00:10:56,600 Speaker 1: vaccines which go out into two thousand twenty one. Now 205 00:10:56,600 --> 00:10:58,760 Speaker 1: we need to look at the reality of the present. 206 00:10:59,080 --> 00:11:01,520 Speaker 1: You do that when you're a politician. You do that 207 00:11:01,559 --> 00:11:05,000 Speaker 1: when the Buffalo bills lose a heartbreaker to Arizona. As 208 00:11:05,040 --> 00:11:07,680 Speaker 1: we saw yesterday, she is the lady from Buffalo, the 209 00:11:07,679 --> 00:11:11,400 Speaker 1: lieutenant governor of the Empire. Straight. Kathy Hokel joins us 210 00:11:11,840 --> 00:11:13,560 Speaker 1: right now. Kathy, I got to go to the money 211 00:11:13,640 --> 00:11:16,080 Speaker 1: question for all of our New York City audience on 212 00:11:16,200 --> 00:11:19,920 Speaker 1: radio and on television. What is your sense with Governor 213 00:11:19,960 --> 00:11:22,480 Speaker 1: Cuomo of what Mayor to Blasio and you will do 214 00:11:22,559 --> 00:11:26,800 Speaker 1: about the school system of New York City. Well, thanks 215 00:11:26,800 --> 00:11:28,439 Speaker 1: for having me on the show, and I'm sorry you 216 00:11:28,520 --> 00:11:30,160 Speaker 1: had to twist the nights in my heart about the 217 00:11:30,160 --> 00:11:33,840 Speaker 1: bills loss. So that's another topic with respect to the schools. 218 00:11:34,360 --> 00:11:36,800 Speaker 1: The time that was back in the summertime when we 219 00:11:36,840 --> 00:11:39,440 Speaker 1: are having lower expection rates and the parents of the 220 00:11:39,520 --> 00:11:43,600 Speaker 1: teachers and the city administration decided that if the number 221 00:11:43,679 --> 00:11:46,800 Speaker 1: of infection rates hit three percent, would dad be a 222 00:11:46,840 --> 00:11:49,920 Speaker 1: trigger to close down schools. But what the governor's saying 223 00:11:49,920 --> 00:11:51,839 Speaker 1: now is that we're in a different era. We're now 224 00:11:51,880 --> 00:11:55,400 Speaker 1: finding out because of testing in schools that the schools 225 00:11:55,400 --> 00:11:58,720 Speaker 1: may be a safer place than having residered backed out 226 00:11:58,800 --> 00:12:02,320 Speaker 1: in their community. So you're prepared to, you know, you know, 227 00:12:02,720 --> 00:12:06,000 Speaker 1: work with them to say, can we make an adjustment here? 228 00:12:06,040 --> 00:12:09,160 Speaker 1: Can we talk about having Okay stay open because it 229 00:12:09,200 --> 00:12:11,280 Speaker 1: may be better goes to the math. It's point one 230 00:12:11,400 --> 00:12:14,160 Speaker 1: seven percent on the schools. Many other states are at 231 00:12:14,280 --> 00:12:17,520 Speaker 1: nine percent, which is where the New York states talking about. 232 00:12:17,559 --> 00:12:20,520 Speaker 1: And du Blasio is married to three percent. How do 233 00:12:20,559 --> 00:12:23,160 Speaker 1: you convince him in the teachers union in New York 234 00:12:23,200 --> 00:12:26,160 Speaker 1: City to get to where Nebraska is, to get to 235 00:12:26,160 --> 00:12:28,800 Speaker 1: where Oklahoma is, for that matter, to get to where 236 00:12:28,880 --> 00:12:34,280 Speaker 1: Chicago is on this percent statistic? Well, that doesn't matter. 237 00:12:34,280 --> 00:12:36,800 Speaker 1: It's what the parents and the teachers and the ministries 238 00:12:36,840 --> 00:12:38,560 Speaker 1: feel conquer with. We're not going to We can say 239 00:12:38,600 --> 00:12:40,120 Speaker 1: that you're going to be going back to school, but 240 00:12:40,160 --> 00:12:42,560 Speaker 1: if the teachers say we don't feel safe, they're not 241 00:12:42,600 --> 00:12:45,400 Speaker 1: showing up. If parents don't feel safe, the kids aren't 242 00:12:45,400 --> 00:12:48,200 Speaker 1: showing up, and then you basically don't have an educational process. 243 00:12:48,240 --> 00:12:50,160 Speaker 1: That works at all. So you have to get buy 244 00:12:50,160 --> 00:12:53,040 Speaker 1: in from everyone, and that's simply what the governor has 245 00:12:53,040 --> 00:12:56,280 Speaker 1: proposed over the weekend, and not have an automatic shutdown 246 00:12:56,320 --> 00:12:58,800 Speaker 1: at three percent, but to use what's going on in 247 00:12:58,840 --> 00:13:01,120 Speaker 1: the schools testing with alts that we didn't have when 248 00:13:01,120 --> 00:13:03,800 Speaker 1: the decision was made to trigger three percent. Now we 249 00:13:03,880 --> 00:13:06,280 Speaker 1: have more data points. Why not look at the data 250 00:13:06,320 --> 00:13:08,439 Speaker 1: that's in front of you and if a school, a 251 00:13:08,520 --> 00:13:11,720 Speaker 1: school itself has a low rate of infection, you know, 252 00:13:11,800 --> 00:13:14,040 Speaker 1: less than one percent or whatever the metrics are going 253 00:13:14,040 --> 00:13:17,000 Speaker 1: to be, why not keep them open because not only 254 00:13:17,040 --> 00:13:19,720 Speaker 1: is it safer perhaps for the children, but also you 255 00:13:19,760 --> 00:13:22,520 Speaker 1: think about the childcare crisis that we've spoken about on 256 00:13:22,559 --> 00:13:24,720 Speaker 1: your show for a long time. But how are we 257 00:13:24,760 --> 00:13:27,280 Speaker 1: going to be able to let you know, parents, particularly women, 258 00:13:27,320 --> 00:13:29,680 Speaker 1: because it always falls on the shoulders of women to 259 00:13:29,840 --> 00:13:31,640 Speaker 1: figure out how to get back to their jobs when 260 00:13:31,640 --> 00:13:34,720 Speaker 1: their schools are shut down. Again. That hurts our economy, 261 00:13:34,720 --> 00:13:37,800 Speaker 1: it hurts our comeback, and so there's many dynamics involved 262 00:13:37,800 --> 00:13:41,320 Speaker 1: to your safety always being first. But realizing now that 263 00:13:41,360 --> 00:13:44,800 Speaker 1: a three percent threshold is something that should be relooked 264 00:13:44,840 --> 00:13:48,360 Speaker 1: at with the consultation with the parents and the teachers, Cathy, 265 00:13:48,400 --> 00:13:50,520 Speaker 1: the reality that you're looking at right now is so 266 00:13:50,640 --> 00:13:53,720 Speaker 1: vastly different than the reality that equity strategists look out. 267 00:13:54,360 --> 00:13:57,319 Speaker 1: When they look out over until the end of one 268 00:13:57,559 --> 00:14:00,400 Speaker 1: how much economic scarring will they be where? Well they're 269 00:14:00,440 --> 00:14:03,960 Speaker 1: being excuse me in New York State, New York City, 270 00:14:04,160 --> 00:14:07,160 Speaker 1: as layoffs have to begin, as we do not necessarily 271 00:14:07,160 --> 00:14:09,520 Speaker 1: get any aid from Washington d C. During a lame 272 00:14:09,600 --> 00:14:13,840 Speaker 1: duck session. We won't have that aid immediately, is what 273 00:14:13,920 --> 00:14:16,400 Speaker 1: it seems clear to me. And I'm willing to be 274 00:14:16,440 --> 00:14:19,720 Speaker 1: pleasantly surprised that we can actually get Mitch McConnell to 275 00:14:19,720 --> 00:14:22,320 Speaker 1: do the right thing and to say that, yes, states 276 00:14:22,320 --> 00:14:24,520 Speaker 1: have suffered. Oh, I realized now it's not just the 277 00:14:24,560 --> 00:14:27,440 Speaker 1: Blue states. The red states are in trouble. Therefore, we 278 00:14:27,480 --> 00:14:30,000 Speaker 1: will help them now because he will go by whatever 279 00:14:30,040 --> 00:14:33,280 Speaker 1: you think is in the political interests of his own party. Okay, fine, 280 00:14:33,480 --> 00:14:36,040 Speaker 1: we're at a point now where the interests are all aligned. 281 00:14:36,440 --> 00:14:41,120 Speaker 1: All American states need help with the testing, with the PPE, 282 00:14:41,280 --> 00:14:44,040 Speaker 1: the help getting more doctors and nurses into some of 283 00:14:44,040 --> 00:14:47,000 Speaker 1: our vote states that didn't expect to be dealing with this. 284 00:14:47,280 --> 00:14:49,720 Speaker 1: So but even if that doesn't occur, in this lame 285 00:14:49,800 --> 00:14:53,200 Speaker 1: duck session. I do believe that Joe Biden understands the 286 00:14:53,360 --> 00:14:56,720 Speaker 1: urgency with this. Governor Cromo has a strong relationship with him, 287 00:14:56,800 --> 00:14:59,240 Speaker 1: we all do, and he knows that you cannot have 288 00:14:59,520 --> 00:15:01,520 Speaker 1: every cover are you know. We've said this before, a 289 00:15:01,640 --> 00:15:04,600 Speaker 1: recovery for the nation without states like New York being 290 00:15:04,640 --> 00:15:07,240 Speaker 1: able to come back and come back strong and to 291 00:15:07,280 --> 00:15:10,800 Speaker 1: reduce the chance of more massive layoffs and to keep 292 00:15:10,840 --> 00:15:13,480 Speaker 1: businesses prospering. We want that is our objective. We have 293 00:15:13,600 --> 00:15:17,000 Speaker 1: to keep that going. So under a Biden administration, we 294 00:15:17,040 --> 00:15:19,560 Speaker 1: feel very confident that the money will start flowing for 295 00:15:19,680 --> 00:15:22,000 Speaker 1: state and local governments to help us get out of 296 00:15:22,000 --> 00:15:26,680 Speaker 1: our poles budgetarily, but also to continue funding initiatives like 297 00:15:26,800 --> 00:15:31,240 Speaker 1: vaccination distribution. The Lieutenant governor that will be early next year. 298 00:15:31,360 --> 00:15:33,040 Speaker 1: We have some tough months ahead of us, as you know, 299 00:15:33,080 --> 00:15:35,560 Speaker 1: and the numbers out of America have been quite worrying. 300 00:15:35,680 --> 00:15:38,800 Speaker 1: Across many states in the United States, the Lieutenant governor 301 00:15:38,800 --> 00:15:40,680 Speaker 1: of the President has been criticized for not being engaged 302 00:15:40,760 --> 00:15:44,440 Speaker 1: enough on this issue with cases increasing at a rapid right, 303 00:15:44,720 --> 00:15:47,120 Speaker 1: what is it you need from the federal government specifically 304 00:15:47,360 --> 00:15:53,640 Speaker 1: that you've requested and aren't getting right now. Money also 305 00:15:53,680 --> 00:15:57,160 Speaker 1: a distribution plan for the vaccination that could be helpful. 306 00:15:57,240 --> 00:15:58,880 Speaker 1: Let's work on that now and not wait until the 307 00:15:58,960 --> 00:16:01,080 Speaker 1: vaccine is available that all of a sudden say, well, 308 00:16:01,160 --> 00:16:03,320 Speaker 1: let's start figuring it out. That has he figured out now. 309 00:16:03,680 --> 00:16:05,520 Speaker 1: In the state of New York, we started working on 310 00:16:05,560 --> 00:16:08,320 Speaker 1: our plan back in the summertime. So but money is 311 00:16:08,320 --> 00:16:10,640 Speaker 1: the number one thing because that will allow us to 312 00:16:10,680 --> 00:16:14,440 Speaker 1: continue funding the state and local to the communities, the 313 00:16:14,440 --> 00:16:17,800 Speaker 1: first responders, the teachers, the health care workers, the child 314 00:16:17,800 --> 00:16:20,680 Speaker 1: care workers. I think we need money first because they 315 00:16:20,720 --> 00:16:22,680 Speaker 1: didn't help us when it came to testing. We could 316 00:16:22,680 --> 00:16:26,760 Speaker 1: have used the Defense Production Act invoked months and months ago. Basically, 317 00:16:26,800 --> 00:16:29,840 Speaker 1: now the President checked out. He never wanted to leave. 318 00:16:30,000 --> 00:16:32,720 Speaker 1: This could have been his Winston Churchill moment. He could 319 00:16:32,720 --> 00:16:34,320 Speaker 1: have been a hero. He could have won the election 320 00:16:34,680 --> 00:16:37,440 Speaker 1: if he had done this right. And he blew it basically, 321 00:16:37,520 --> 00:16:39,760 Speaker 1: and now with the consequences there, he needs to move over. 322 00:16:40,200 --> 00:16:43,560 Speaker 1: Let the transition team of Joe Biden take over. Let 323 00:16:43,600 --> 00:16:46,280 Speaker 1: them have the opportunity to find out, you know, where 324 00:16:46,280 --> 00:16:49,040 Speaker 1: the money is, what what programs need to be continued, 325 00:16:49,080 --> 00:16:51,840 Speaker 1: what regulations need to be changed. Let them hit the 326 00:16:51,840 --> 00:16:54,440 Speaker 1: ground running and start saving our country because it did 327 00:16:54,480 --> 00:16:57,640 Speaker 1: not have to fall this far. New York State still 328 00:16:57,720 --> 00:17:01,160 Speaker 1: has the third lowest infection rate in the nation after 329 00:17:01,280 --> 00:17:04,960 Speaker 1: Vermont May Word about two point six percent. The rest 330 00:17:05,000 --> 00:17:07,160 Speaker 1: of the nation could be at two point six percent 331 00:17:07,280 --> 00:17:10,440 Speaker 1: and we could be functioning. But the President didn't care. 332 00:17:10,600 --> 00:17:12,479 Speaker 1: He didn't do anything along the lines of what we 333 00:17:12,480 --> 00:17:15,160 Speaker 1: were asking for early on. So the damage is done 334 00:17:15,480 --> 00:17:17,680 Speaker 1: and now it's time to do clean up. Lieutenant Covin. 335 00:17:17,720 --> 00:17:20,000 Speaker 1: I appreciate your time. The commisation will have to continue, 336 00:17:20,080 --> 00:17:27,639 Speaker 1: Kathy how called that of New York right now, and 337 00:17:27,720 --> 00:17:31,280 Speaker 1: this is really important on a Monday, Let's recalibrate the 338 00:17:31,320 --> 00:17:34,760 Speaker 1: American economy. He is award winning Stephen Stanley with Amer's 339 00:17:34,800 --> 00:17:39,720 Speaker 1: Pierrepont does wonderful work with the conventional function. Why will 340 00:17:39,760 --> 00:17:42,600 Speaker 1: C plus I plus G plus whatever the export noises 341 00:17:42,840 --> 00:17:46,800 Speaker 1: Steve Stanley, what matters right now within that equation? Well, 342 00:17:46,840 --> 00:17:50,240 Speaker 1: I think consumption has really been the start of the show, um, 343 00:17:50,320 --> 00:17:52,600 Speaker 1: and that's what we're looking at. I mean, consumer has 344 00:17:53,080 --> 00:17:55,320 Speaker 1: held up much better than I think most people expected 345 00:17:55,400 --> 00:17:59,920 Speaker 1: through the pandemic and now with renewed restrictions and kind 346 00:18:00,560 --> 00:18:03,280 Speaker 1: cuts and mobility a little bit. I think there's obviously 347 00:18:03,320 --> 00:18:06,320 Speaker 1: some concern about whether the consumer can continue uh to 348 00:18:06,400 --> 00:18:08,760 Speaker 1: get back toward normal over the next couple of months. 349 00:18:08,920 --> 00:18:13,399 Speaker 1: Give us a calendar of the need for income substitution benefits. 350 00:18:13,440 --> 00:18:17,919 Speaker 1: I guess one disappear for many. But how urgent for 351 00:18:18,040 --> 00:18:22,600 Speaker 1: you is income replacement right now? Yeah, I think we're 352 00:18:22,600 --> 00:18:24,359 Speaker 1: in a different place than we were in the spring. 353 00:18:24,400 --> 00:18:26,639 Speaker 1: I mean, in the spring, we we put forward the 354 00:18:26,680 --> 00:18:30,720 Speaker 1: six hundred dollar a month unemployment benefits as well as 355 00:18:30,760 --> 00:18:33,960 Speaker 1: a round of rebate checks for everyone. And I think 356 00:18:34,000 --> 00:18:38,480 Speaker 1: at this point, um, the the whatever income replacement we 357 00:18:38,520 --> 00:18:41,120 Speaker 1: do probably needs to be more targeted. So I think 358 00:18:41,119 --> 00:18:45,080 Speaker 1: the idea of continuing the unemployment benefits certainly, um, you know, 359 00:18:45,160 --> 00:18:47,760 Speaker 1: continuing them beyond mid year or the end of the year, 360 00:18:47,800 --> 00:18:52,239 Speaker 1: but also, um, maybe putting forward another bonus. You know, 361 00:18:52,440 --> 00:18:54,520 Speaker 1: it doesn't necessarily have to be six hundred dollars, but 362 00:18:54,800 --> 00:18:57,439 Speaker 1: you know, perhaps three or four hundred whatever makes a 363 00:18:57,440 --> 00:18:59,680 Speaker 1: lot of sense because there's still plenty of people who 364 00:18:59,720 --> 00:19:03,199 Speaker 1: basic we can't work because of the pandemic. I'm not 365 00:19:03,240 --> 00:19:05,120 Speaker 1: sure that we need across the board help the way 366 00:19:05,160 --> 00:19:08,119 Speaker 1: that the way that we got in the spring so 367 00:19:08,160 --> 00:19:10,720 Speaker 1: that to me, that's the key distinction. And Steve, this 368 00:19:10,760 --> 00:19:13,600 Speaker 1: is a really important nuance because right now we're looking 369 00:19:13,640 --> 00:19:16,640 Speaker 1: at American consumer finances that are best shape in decades. 370 00:19:16,880 --> 00:19:19,240 Speaker 1: People took these checks, they paid down their debt, they 371 00:19:19,400 --> 00:19:22,040 Speaker 1: don't have any where to go to spend money, and 372 00:19:22,080 --> 00:19:24,640 Speaker 1: so you're seeing really really good balance sheets. But that's 373 00:19:24,640 --> 00:19:28,280 Speaker 1: an aggregate. What is the long term economic consequence of 374 00:19:28,320 --> 00:19:31,520 Speaker 1: the lower tier of workers who are seeing their jobs 375 00:19:31,560 --> 00:19:34,159 Speaker 1: get cut at a faster pace and who don't have 376 00:19:34,200 --> 00:19:38,520 Speaker 1: the same kind of cushion even after the round of stimulus. Yeah, well, 377 00:19:38,560 --> 00:19:40,639 Speaker 1: I mean, you know, obviously those are the sorts of 378 00:19:40,640 --> 00:19:43,159 Speaker 1: people that have to live paycheck to paycheck. So the 379 00:19:43,200 --> 00:19:46,199 Speaker 1: loss of a paycheck means a lot more for someone 380 00:19:46,400 --> 00:19:50,439 Speaker 1: in that financial situation than it would for, um, you know, 381 00:19:50,520 --> 00:19:52,679 Speaker 1: someone that has a nest egg. And I think again 382 00:19:52,760 --> 00:19:55,920 Speaker 1: that's why there is, in my view, there is urgency 383 00:19:56,080 --> 00:20:00,320 Speaker 1: to make sure that we're providing ample um support to 384 00:20:00,400 --> 00:20:03,320 Speaker 1: that group of people, the people who are unable to 385 00:20:03,359 --> 00:20:06,040 Speaker 1: work and and need the money right away. I think 386 00:20:06,080 --> 00:20:09,639 Speaker 1: you know that maybe the urgency for uh, for the 387 00:20:09,640 --> 00:20:12,160 Speaker 1: rest of the population isn't as great. Wan we've certainly 388 00:20:12,200 --> 00:20:15,000 Speaker 1: made up over half of the jobs that were lost 389 00:20:15,040 --> 00:20:16,760 Speaker 1: during the lockdown. So there are a lot of folks 390 00:20:16,800 --> 00:20:19,560 Speaker 1: who were out of work in the spring who were back, 391 00:20:20,040 --> 00:20:22,400 Speaker 1: but there's still plenty who are not. And I think, 392 00:20:22,480 --> 00:20:24,320 Speaker 1: you know, those are the folks that we want to 393 00:20:24,359 --> 00:20:27,240 Speaker 1: try to take care of, and especially now that we 394 00:20:27,320 --> 00:20:30,240 Speaker 1: have a sense that perhaps it's only a few more months, 395 00:20:30,440 --> 00:20:33,760 Speaker 1: you know, maybe the vaccines are broadly distributed by the 396 00:20:33,800 --> 00:20:36,840 Speaker 1: spring um and things can get back to something much 397 00:20:36,840 --> 00:20:39,320 Speaker 1: closer to normal at that point. So if I'm a 398 00:20:39,520 --> 00:20:41,560 Speaker 1: if I'm a lawmaker at this point, it makes it 399 00:20:41,520 --> 00:20:44,360 Speaker 1: a lot more, makes it easier, I would think, uh, 400 00:20:44,400 --> 00:20:46,400 Speaker 1: to say, Okay, well we can support people for three 401 00:20:46,480 --> 00:20:50,920 Speaker 1: or four more months, but it's not an indefinite thing anymore. Stephen. 402 00:20:50,960 --> 00:20:53,840 Speaker 1: Let's talk about the economics. So mentioned. The Asian currency 403 00:20:53,960 --> 00:20:56,480 Speaker 1: is doing tremendously well recently that I trying to shine 404 00:20:56,480 --> 00:20:59,720 Speaker 1: a fantastic decent again this morning. And don't think it's 405 00:20:59,800 --> 00:21:02,719 Speaker 1: it's really to talk about payrolls for this month when 406 00:21:02,760 --> 00:21:05,600 Speaker 1: it comes out in early December, Stephen, what are you 407 00:21:05,640 --> 00:21:09,119 Speaker 1: comfortable forecasting at this point given the direction to travel 408 00:21:09,400 --> 00:21:13,920 Speaker 1: with economic restrictions coming up across America. Yeah, I mean, 409 00:21:13,960 --> 00:21:17,000 Speaker 1: I would say most likely that we're going to see 410 00:21:17,000 --> 00:21:20,359 Speaker 1: another deceleration UM, and this one could be more significant 411 00:21:20,359 --> 00:21:22,040 Speaker 1: than what we've seen over the last couple of months. 412 00:21:22,440 --> 00:21:25,320 Speaker 1: The pace of growth was fairly steady over the last 413 00:21:25,359 --> 00:21:27,879 Speaker 1: two or three months. I would say, certainly in the 414 00:21:27,880 --> 00:21:31,520 Speaker 1: private numbers, UM, you're probably going to see a slowdown, 415 00:21:31,600 --> 00:21:34,480 Speaker 1: obviously with the virus having picked up. But I would say, 416 00:21:34,640 --> 00:21:37,400 Speaker 1: you know, we've suddenly we've seen a flurry of new 417 00:21:37,440 --> 00:21:40,280 Speaker 1: restrictions put in place over the last week or so, 418 00:21:40,960 --> 00:21:43,480 Speaker 1: and so my guess is I mean, we've just last 419 00:21:43,480 --> 00:21:46,679 Speaker 1: week was the payrolls survey week. So my guess is 420 00:21:46,720 --> 00:21:50,800 Speaker 1: that whatever UM slow down you're going to see in 421 00:21:50,840 --> 00:21:53,200 Speaker 1: the pace of job growth over the next several months 422 00:21:53,280 --> 00:21:56,960 Speaker 1: is more likely to be clear in December than in November. 423 00:21:57,000 --> 00:22:00,440 Speaker 1: I think we'll get some slow down, perhaps UM for November, 424 00:22:00,480 --> 00:22:03,480 Speaker 1: but then maybe a more significant one on the back 425 00:22:03,520 --> 00:22:07,280 Speaker 1: of some of these virus restrictions in December. Let's add 426 00:22:07,320 --> 00:22:09,200 Speaker 1: to this, then, Stephen, and think about the fact that 427 00:22:09,440 --> 00:22:12,040 Speaker 1: this economy has have the stress test a severe one 428 00:22:12,320 --> 00:22:15,040 Speaker 1: back in spring. Can you model what it might look 429 00:22:15,080 --> 00:22:17,320 Speaker 1: like when you get the same stress test again you 430 00:22:17,359 --> 00:22:19,359 Speaker 1: have it once, you get it a second time, and 431 00:22:19,400 --> 00:22:24,720 Speaker 1: how corporations and individuals might respond and maybe differently. Yeah, 432 00:22:24,760 --> 00:22:26,720 Speaker 1: I mean, I think the one thing is that people 433 00:22:26,760 --> 00:22:29,520 Speaker 1: have kind of gotten used to the to the new reality. 434 00:22:29,640 --> 00:22:32,159 Speaker 1: So if you think about, for example, manufacturers, I mean 435 00:22:32,200 --> 00:22:35,439 Speaker 1: they had to they close their plants for almost two months, 436 00:22:35,520 --> 00:22:37,400 Speaker 1: and then when they came back, they had to retool 437 00:22:37,440 --> 00:22:42,080 Speaker 1: their operations to provide for a more socially distant workplace. 438 00:22:42,240 --> 00:22:45,160 Speaker 1: And having done that, um, it makes it. I think 439 00:22:45,160 --> 00:22:48,360 Speaker 1: it makes it far easier now because they've already kind 440 00:22:48,359 --> 00:22:52,440 Speaker 1: of adjusted. Um. So really, the I think the bulk 441 00:22:52,520 --> 00:22:54,679 Speaker 1: of the adjustment that needs to be made now is 442 00:22:54,760 --> 00:22:59,720 Speaker 1: just kind of dialing up and back the uh degree 443 00:23:00,000 --> 00:23:02,520 Speaker 1: of which people are getting out and about you know, 444 00:23:02,560 --> 00:23:06,040 Speaker 1: the mobility and um, the level of contact that people 445 00:23:06,040 --> 00:23:09,920 Speaker 1: are having. And so that does affect restaurants and high 446 00:23:09,920 --> 00:23:12,440 Speaker 1: contact industries like that, But I think the bulk of 447 00:23:12,480 --> 00:23:15,440 Speaker 1: the economy, the rest of the economy hopefully has already 448 00:23:15,480 --> 00:23:19,840 Speaker 1: made the necessary adjustments and won't be disrupted too badly. Um. 449 00:23:19,880 --> 00:23:23,199 Speaker 1: In the current situation, Steve is a stock market linked 450 00:23:23,200 --> 00:23:27,880 Speaker 1: to your world. Um, I think I would look at 451 00:23:27,920 --> 00:23:31,560 Speaker 1: it as a as a gauge of sentiment um and 452 00:23:31,600 --> 00:23:34,399 Speaker 1: I think you know clearly at this point it seems 453 00:23:34,400 --> 00:23:37,120 Speaker 1: to me that the stock market is looking through our 454 00:23:37,160 --> 00:23:41,720 Speaker 1: investors are looking through the current bad news and into 455 00:23:42,160 --> 00:23:45,920 Speaker 1: you know, the prospect of of an effective vaccine at 456 00:23:45,960 --> 00:23:48,240 Speaker 1: some point next year and then getting back to something 457 00:23:48,280 --> 00:23:51,760 Speaker 1: closer to normal over the course of I mean, that 458 00:23:51,800 --> 00:23:54,720 Speaker 1: doesn't do anything for us today in terms of the 459 00:23:54,840 --> 00:23:57,800 Speaker 1: number of cases and hospitalizations and death, but it certainly 460 00:23:58,400 --> 00:24:01,080 Speaker 1: suggests that people are hopeful at things we'll get back 461 00:24:01,119 --> 00:24:06,359 Speaker 1: to something closer to normal as we've moved into Stephen, 462 00:24:06,359 --> 00:24:08,320 Speaker 1: there's some hope in this market this morning, that's for sure. 463 00:24:08,359 --> 00:24:11,600 Speaker 1: Stephen Stanny that I'm hast papon. Thank you said thanks 464 00:24:11,600 --> 00:24:15,879 Speaker 1: for listening to the Bloomberg Surveillance podcast. Subscribe and listen 465 00:24:16,080 --> 00:24:21,440 Speaker 1: to interviews on Apple Podcasts, SoundCloud, or whichever podcast platform 466 00:24:21,520 --> 00:24:25,840 Speaker 1: you prefer. I'm on Twitter at Tom Keene before the podcast. 467 00:24:25,880 --> 00:24:29,399 Speaker 1: You can always catch us worldwide. I'm Bloomberg Radio