1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets podcast 5 00:00:15,560 --> 00:00:18,479 Speaker 1: called Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,760 Speaker 1: at Bloomberg dot com Slash podcast. Let's get to our 7 00:00:21,800 --> 00:00:25,040 Speaker 1: next guest straight away. Danielle di Martino, Booth CEO and 8 00:00:25,079 --> 00:00:28,760 Speaker 1: chief strategist for Quill Intelligence. Danielle, Yesterday, as I was 9 00:00:28,760 --> 00:00:30,800 Speaker 1: watching football and eating turkey, I was just kind of 10 00:00:30,800 --> 00:00:32,839 Speaker 1: flipping through my Twitter feed. I started seeing more and 11 00:00:32,880 --> 00:00:36,800 Speaker 1: more mentions about this South African varying here and then 12 00:00:36,840 --> 00:00:39,400 Speaker 1: you wake up this morning and boom, Europe trading off 13 00:00:39,400 --> 00:00:41,839 Speaker 1: three percent equities. Uh, and here we've got the U 14 00:00:41,920 --> 00:00:45,680 Speaker 1: S market. How are you trying to contextualize the news 15 00:00:45,760 --> 00:00:48,120 Speaker 1: that we're getting today about this new variant as it 16 00:00:48,159 --> 00:00:52,640 Speaker 1: relates to kind of just the overall economic outlook? You know, 17 00:00:52,920 --> 00:00:55,240 Speaker 1: you know, I keep up this USA Today map of 18 00:00:55,240 --> 00:00:58,280 Speaker 1: the United States, and two months ago there were only 19 00:00:58,360 --> 00:01:02,240 Speaker 1: four cases up four states where there were COVID cases growing. 20 00:01:03,040 --> 00:01:05,240 Speaker 1: I've had to flip the way that I tabulate now 21 00:01:05,640 --> 00:01:08,720 Speaker 1: there are eleven There are eleven states now with cases falling, 22 00:01:09,160 --> 00:01:11,680 Speaker 1: and the words the rest of the country has already 23 00:01:11,720 --> 00:01:14,760 Speaker 1: got COVID cases rising. So I've been watching this pretty 24 00:01:14,760 --> 00:01:17,160 Speaker 1: closely for the last month. So this has kind of 25 00:01:17,160 --> 00:01:19,319 Speaker 1: been an accident waiting to happen if there's a new 26 00:01:19,400 --> 00:01:22,759 Speaker 1: variant that's going to come on top of this. So 27 00:01:22,880 --> 00:01:24,600 Speaker 1: we've we've already got the bulk of the country. And 28 00:01:24,640 --> 00:01:26,920 Speaker 1: trust me when I say, my my seventy five year 29 00:01:26,959 --> 00:01:31,840 Speaker 1: old mother her birthday's Sunday, God lover um. She and 30 00:01:31,880 --> 00:01:35,400 Speaker 1: her friends, they pay attention to these data. And because 31 00:01:35,400 --> 00:01:38,280 Speaker 1: we know that the savings, in fact, this was a 32 00:01:38,280 --> 00:01:40,520 Speaker 1: good terminal story, because we know that the savings are 33 00:01:40,520 --> 00:01:44,120 Speaker 1: concentrated in the hands of the wealthiest and the oldest, 34 00:01:44,880 --> 00:01:49,200 Speaker 1: that really has implications for US consumption, which is the economy. 35 00:01:49,400 --> 00:01:53,120 Speaker 1: Because they pay attention to where COVID cases are rising 36 00:01:53,240 --> 00:01:55,760 Speaker 1: and where they're not rising. They pay attention to these 37 00:01:55,800 --> 00:01:58,120 Speaker 1: COVID headlines because they're the ones who who are going 38 00:01:58,160 --> 00:02:00,480 Speaker 1: to tend to stay home as we head into this 39 00:02:00,520 --> 00:02:03,680 Speaker 1: critical holiday season. And so Danielle, given that you have 40 00:02:03,840 --> 00:02:05,920 Speaker 1: been following this closely, and like you said, I mean, 41 00:02:05,960 --> 00:02:08,440 Speaker 1: this was an accident waiting to happen. If you look 42 00:02:08,480 --> 00:02:11,360 Speaker 1: at US cases, I'm still curious. I mean, if you 43 00:02:11,400 --> 00:02:14,120 Speaker 1: do look at the reaction in this stock market right now, 44 00:02:14,160 --> 00:02:17,079 Speaker 1: I'm looking at the SMP five hundred down almost two percent, 45 00:02:17,160 --> 00:02:21,200 Speaker 1: biggest drops in September. Is this justified or at what 46 00:02:21,320 --> 00:02:25,640 Speaker 1: point does this become maybe an overreaction? Well, you know, 47 00:02:25,680 --> 00:02:27,680 Speaker 1: it's hard to say. I've been watching the movement decks 48 00:02:27,760 --> 00:02:30,320 Speaker 1: very closely, and that's what I follow much more closely 49 00:02:30,440 --> 00:02:33,760 Speaker 1: than UM than the VICS index. I followed treasury volatility 50 00:02:33,800 --> 00:02:36,320 Speaker 1: much more closely. And you know, we've been seeing it 51 00:02:36,400 --> 00:02:41,200 Speaker 1: in up very very rapidly, so the highest levels since 52 00:02:41,240 --> 00:02:44,079 Speaker 1: we have the pandemic breakout. So the bond market has 53 00:02:44,120 --> 00:02:48,160 Speaker 1: been screaming that there's risk in the system for weeks now, 54 00:02:48,480 --> 00:02:50,880 Speaker 1: and we've seen the yield between the two year and 55 00:02:50,919 --> 00:02:54,079 Speaker 1: the ten year treasury slam down to one basis points 56 00:02:54,400 --> 00:02:58,480 Speaker 1: despite the increase in the shorter maturity treasuries, because the 57 00:02:58,560 --> 00:03:01,440 Speaker 1: markets are concerned. At the FED, my former employer is 58 00:03:01,480 --> 00:03:04,760 Speaker 1: going to be tightening at a at an increasingly fast 59 00:03:04,800 --> 00:03:07,760 Speaker 1: pace going into two because even the most devilish as 60 00:03:07,760 --> 00:03:12,000 Speaker 1: in Mary Daily out of San Francisco have advocated for 61 00:03:12,040 --> 00:03:15,600 Speaker 1: a quicker tightening to combat the inflation. That I mean, 62 00:03:15,639 --> 00:03:17,880 Speaker 1: I sent out a tweek that went viral a few 63 00:03:17,960 --> 00:03:21,000 Speaker 1: days ago. There I've got almost a thousand. Like. All 64 00:03:21,000 --> 00:03:23,080 Speaker 1: I did was take a photograph of Austin Mayer bacon 65 00:03:23,080 --> 00:03:26,959 Speaker 1: in Dallas, Texas. It was ian there's something wrong. I 66 00:03:27,040 --> 00:03:31,919 Speaker 1: saw that. So there's something wrong with inflations. And it's 67 00:03:31,919 --> 00:03:35,560 Speaker 1: a regressive tax that hurts the lowest income earners the 68 00:03:35,600 --> 00:03:38,360 Speaker 1: most at a time when there's been no legislation past. 69 00:03:38,840 --> 00:03:41,160 Speaker 1: And the little cast that is coming to US families, 70 00:03:41,160 --> 00:03:43,280 Speaker 1: which is the child tax credit, is set to roll 71 00:03:43,360 --> 00:03:48,200 Speaker 1: off as of the December payment. Daniel Worth, the markets 72 00:03:48,280 --> 00:03:51,880 Speaker 1: is certainly reacting to this variant news this morning, and 73 00:03:52,040 --> 00:03:54,760 Speaker 1: actually on some decent volume. We were just noting earlier 74 00:03:54,800 --> 00:03:57,920 Speaker 1: relative to obviously being a holiday, uh kind of day 75 00:03:57,920 --> 00:04:00,360 Speaker 1: after on holiday. How do you think the FED looks 76 00:04:00,360 --> 00:04:04,720 Speaker 1: at data points like you know what we're seeing today? Well, 77 00:04:04,720 --> 00:04:07,360 Speaker 1: this this is a friendly reminder. Actually it's a very 78 00:04:07,480 --> 00:04:09,800 Speaker 1: unfriendly reminder to the Fed that they waited too long 79 00:04:09,840 --> 00:04:13,320 Speaker 1: to tighten and that they're tightening into a slowing economy 80 00:04:13,440 --> 00:04:16,640 Speaker 1: that was always going to be vulnerable to the next 81 00:04:16,720 --> 00:04:19,120 Speaker 1: COVID virant, and now that we do have the next 82 00:04:19,160 --> 00:04:21,800 Speaker 1: code mutation on our hands, that we're that we're staring 83 00:04:21,839 --> 00:04:26,080 Speaker 1: at again with forties states, with rising cases. It's it's 84 00:04:26,200 --> 00:04:30,480 Speaker 1: very problematic for the FED to be pressured by politicians 85 00:04:30,480 --> 00:04:32,960 Speaker 1: and there are quite a few politicis. Politicians have crawled 86 00:04:32,960 --> 00:04:35,440 Speaker 1: out of their skins. When was the last time in 87 00:04:35,440 --> 00:04:38,640 Speaker 1: your career you you heard quite a few politicians saying, gee, 88 00:04:38,680 --> 00:04:41,520 Speaker 1: I think monetary policy needs to be tighter, and yet 89 00:04:41,960 --> 00:04:44,840 Speaker 1: we have this chorus. So there's a lot of there's 90 00:04:44,839 --> 00:04:47,200 Speaker 1: a lot of pressure to to to shift the narrative, 91 00:04:47,400 --> 00:04:50,920 Speaker 1: especially with a hundred thousand print on jobless claims, there's 92 00:04:50,960 --> 00:04:54,279 Speaker 1: a lot of pressure to shift shift the narrative away 93 00:04:54,279 --> 00:05:01,200 Speaker 1: from maximum inclusive employment back to inflation. Yeah. Absolutely, definitely 94 00:05:01,600 --> 00:05:04,560 Speaker 1: a tight wire act for high wire act for the 95 00:05:04,600 --> 00:05:07,280 Speaker 1: FED continues. Danielle de Martino Booth, thank you so much 96 00:05:07,279 --> 00:05:10,640 Speaker 1: for joining us. We really appreciate getting your perspective here, 97 00:05:10,720 --> 00:05:14,080 Speaker 1: your learned perspective here on kind of a new kind 98 00:05:14,120 --> 00:05:16,360 Speaker 1: of a you know, monkey wrench thrown into this market 99 00:05:16,360 --> 00:05:20,599 Speaker 1: and economic outlook. Daniel DeMartino Booth and chief strategist at 100 00:05:20,680 --> 00:05:24,520 Speaker 1: Quinn Intelligence. Also, as she mentioned earlier, former advisor at 101 00:05:24,560 --> 00:05:27,440 Speaker 1: the Federal Reserve Bank of Dallas. So we always appreciate 102 00:05:27,440 --> 00:05:30,920 Speaker 1: getting Danielle's view of the markets and of what this 103 00:05:30,960 --> 00:05:38,960 Speaker 1: Federal Reserve may do big risk off day. Today's Charlie 104 00:05:39,000 --> 00:05:40,760 Speaker 1: was just reporting let's get a look at what's happening 105 00:05:40,760 --> 00:05:43,520 Speaker 1: with the small cap stocks. We do that every day 106 00:05:43,520 --> 00:05:46,320 Speaker 1: at this time with Bloodmark Sucks editor Davilson. How's it going, Dave? 107 00:05:47,000 --> 00:05:49,599 Speaker 1: Not well? I'm short. I mean the Russell two thousand 108 00:05:49,600 --> 00:05:52,600 Speaker 1: down almost four and a half percent. That's more than 109 00:05:52,600 --> 00:05:56,839 Speaker 1: twice as much as the today's trade. Energy stocks weighing 110 00:05:56,839 --> 00:05:59,880 Speaker 1: on the Russell is all prices tumble. Uh. The index 111 00:06:00,040 --> 00:06:04,080 Speaker 1: steepest decline belongs to Calan Patroleum, whose ticker is CPN 112 00:06:04,400 --> 00:06:08,760 Speaker 1: or CPE. I'm sorry, Uh, that stock down nineteen percent. 113 00:06:09,320 --> 00:06:13,120 Speaker 1: Laredo Petroleum ticker l p I is down seventy and 114 00:06:13,160 --> 00:06:16,360 Speaker 1: a half percent. Matt Or Resources ticker mt d R 115 00:06:16,839 --> 00:06:19,960 Speaker 1: is down thirty and a half percent. Hotel the resort 116 00:06:20,000 --> 00:06:22,840 Speaker 1: owners are lower as well. Part of order decline among 117 00:06:22,920 --> 00:06:28,480 Speaker 1: travel stocks, Ashford Hospitality Trust ticker HT is down sixteen percent, 118 00:06:29,000 --> 00:06:32,560 Speaker 1: and the Grand Old Operies owner Ryman Hospitality ticker r 119 00:06:32,800 --> 00:06:35,640 Speaker 1: HP is down about eleven and a half percent. Now 120 00:06:35,640 --> 00:06:38,640 Speaker 1: two of the Rustle's biggest games belongs to companies that 121 00:06:38,680 --> 00:06:42,039 Speaker 1: were named to the SMP small Caps six hundred indecks 122 00:06:42,120 --> 00:06:47,119 Speaker 1: late Wednesday. Uh. They'll join that benchmark before uh next 123 00:06:47,160 --> 00:06:50,240 Speaker 1: week's open on Thursday, U and one of them is 124 00:06:50,320 --> 00:06:53,440 Speaker 1: cars dot Com ticker c a r s UH. The 125 00:06:53,480 --> 00:06:57,279 Speaker 1: automotive side is up eighteen percent and UH the other 126 00:06:57,440 --> 00:07:00,600 Speaker 1: is engineering company n V five. Glow will take her 127 00:07:00,839 --> 00:07:05,479 Speaker 1: envy e e and that stock hired by about all right, 128 00:07:05,480 --> 00:07:08,000 Speaker 1: Bloomberking stock seditor Dave Wilson, thank you so much. We 129 00:07:08,040 --> 00:07:12,240 Speaker 1: appreciate it. All right, Black Friday people are shopping, you know. 130 00:07:12,280 --> 00:07:13,880 Speaker 1: I know I'm gonna drive by the Short Hills mall 131 00:07:13,960 --> 00:07:16,880 Speaker 1: later today and it will be back. The question is 132 00:07:17,120 --> 00:07:19,080 Speaker 1: how are shopping malls doing in general? How is the 133 00:07:19,160 --> 00:07:22,000 Speaker 1: real estate in the retail space doing. Let's check in 134 00:07:22,040 --> 00:07:24,680 Speaker 1: with Jim Sullivan. He's a managing director and reet analysts 135 00:07:24,720 --> 00:07:27,160 Speaker 1: at B T I G. Jim, thanks so much for 136 00:07:27,280 --> 00:07:29,800 Speaker 1: joining us here. I know you've been covering the reets 137 00:07:29,920 --> 00:07:32,280 Speaker 1: for a long time here. There was a time when, 138 00:07:32,760 --> 00:07:35,600 Speaker 1: you know, you everybody just thought the retail brick and 139 00:07:35,600 --> 00:07:41,400 Speaker 1: mortar business was literally going out of business. Has that happened? No, 140 00:07:41,600 --> 00:07:45,280 Speaker 1: absolutely not Uh. And in fact, what we've seen this 141 00:07:45,360 --> 00:07:48,560 Speaker 1: year is the two major mall red that we cover, 142 00:07:48,600 --> 00:07:52,680 Speaker 1: Assignment Property Group in mace Rich, they're both up delivered 143 00:07:52,720 --> 00:07:58,680 Speaker 1: total returns of proximately before today. UM. And they've done 144 00:07:58,680 --> 00:08:01,800 Speaker 1: so because we've in a strong recovery and retail sales 145 00:08:02,080 --> 00:08:06,400 Speaker 1: at the stores UM. And it's been consistent really since 146 00:08:06,720 --> 00:08:09,800 Speaker 1: since going back to March. So UM. You know, the 147 00:08:09,840 --> 00:08:12,760 Speaker 1: delta variant in August had a little bit of a 148 00:08:12,760 --> 00:08:16,200 Speaker 1: slight negative impact, but it was short lived UM, and 149 00:08:16,320 --> 00:08:20,640 Speaker 1: sales growth in September was robust so UM. The result 150 00:08:20,760 --> 00:08:24,080 Speaker 1: is companies reported their third quarter beating rays quarter for 151 00:08:24,160 --> 00:08:26,840 Speaker 1: both may Switch and Simon. So the stocks have done 152 00:08:26,920 --> 00:08:30,080 Speaker 1: very well. And so we were talking to Bloomberg Intelligences 153 00:08:30,240 --> 00:08:33,040 Speaker 1: who not' goyle earlier in the show, who is at 154 00:08:33,040 --> 00:08:36,000 Speaker 1: the mall today? Uh? And it sounds like there's plenty 155 00:08:36,000 --> 00:08:38,880 Speaker 1: of foot traffic. But I'm curious how you think about 156 00:08:38,920 --> 00:08:42,400 Speaker 1: the risk of you know, these new variants, and in 157 00:08:42,440 --> 00:08:45,600 Speaker 1: particular this one from South Africa, which we don't yet 158 00:08:45,640 --> 00:08:48,480 Speaker 1: have a name yet. Maybe that's coming, But I mean, 159 00:08:48,480 --> 00:08:50,640 Speaker 1: how do you how do you factor that in to 160 00:08:50,760 --> 00:08:54,120 Speaker 1: your analysis because it almost feels like a black Swan 161 00:08:54,200 --> 00:08:56,720 Speaker 1: event we don't know which is going to be a 162 00:08:56,760 --> 00:09:00,439 Speaker 1: really big deal. Well, I think you know the comment 163 00:09:00,520 --> 00:09:03,920 Speaker 1: you just made is obviously the key. How serious this going, 164 00:09:04,040 --> 00:09:07,400 Speaker 1: this is going to be? UM? How serious the reaction 165 00:09:08,040 --> 00:09:11,440 Speaker 1: for those who infected will be in the UM uh 166 00:09:11,600 --> 00:09:14,400 Speaker 1: you know, how long they'll be um they'll be impacted 167 00:09:14,400 --> 00:09:16,760 Speaker 1: by that remains to be seen. But if we make 168 00:09:16,760 --> 00:09:19,520 Speaker 1: the analogy with what happened with the delta variant, which 169 00:09:19,920 --> 00:09:26,480 Speaker 1: obviously increased infections substantially, UM, and that impacted the third quarter. 170 00:09:26,559 --> 00:09:29,480 Speaker 1: When we look at the third quarter retail sales numbers, 171 00:09:30,120 --> 00:09:32,720 Speaker 1: what we see and it will just say, as an example, 172 00:09:32,760 --> 00:09:36,120 Speaker 1: apparel and accessories, which is kind of the key category 173 00:09:36,160 --> 00:09:38,880 Speaker 1: for malls and for sales in the malls. You know, 174 00:09:38,920 --> 00:09:43,559 Speaker 1: back in July UM clothing and clothing accessory stores their 175 00:09:43,600 --> 00:09:50,400 Speaker 1: sales grew nine versus UM. In August that sales growth 176 00:09:50,920 --> 00:09:53,760 Speaker 1: fled to eight percent, but in September it was backed 177 00:09:53,840 --> 00:09:57,760 Speaker 1: up to just over We saw something similar in the 178 00:09:57,840 --> 00:10:00,640 Speaker 1: hotel business as well, where we did see some travel 179 00:10:00,720 --> 00:10:04,280 Speaker 1: numbers decline, and we saw that hotel occupancy rates and 180 00:10:04,360 --> 00:10:07,160 Speaker 1: room rates slid at the same time in the same 181 00:10:07,200 --> 00:10:10,480 Speaker 1: way and had a similar recovery. So that was the 182 00:10:10,520 --> 00:10:13,079 Speaker 1: impact of the delta variant. Now, whether this variant is 183 00:10:13,120 --> 00:10:15,840 Speaker 1: going to have a more severe impact or not remains 184 00:10:15,880 --> 00:10:19,280 Speaker 1: to be seen with waiting for the information to see 185 00:10:19,280 --> 00:10:21,480 Speaker 1: what impact it will have on sales. But if we 186 00:10:21,520 --> 00:10:24,200 Speaker 1: make the analogy with the delta variant, it was about 187 00:10:24,200 --> 00:10:27,680 Speaker 1: a thirty day impact. Jim, there's a you know, school 188 00:10:27,679 --> 00:10:30,199 Speaker 1: thought out there in a retail that the the US 189 00:10:30,280 --> 00:10:33,280 Speaker 1: is still overstored. What what what are you three companies 190 00:10:33,320 --> 00:10:35,400 Speaker 1: that you fall say about that? Will there be a 191 00:10:35,400 --> 00:10:39,959 Speaker 1: lot more closures? Um? I don't think so. I mean 192 00:10:40,000 --> 00:10:42,559 Speaker 1: I've been following this space for a long time, as 193 00:10:42,600 --> 00:10:45,280 Speaker 1: you noted, and I think as long as I've followed, 194 00:10:45,280 --> 00:10:47,800 Speaker 1: if two things have always been true. One is this 195 00:10:48,040 --> 00:10:50,680 Speaker 1: too much retail square footage when you look at square 196 00:10:50,679 --> 00:10:54,760 Speaker 1: feet per capita in the country versus other major markets. However, 197 00:10:55,200 --> 00:10:57,840 Speaker 1: there's never been enough of the best space. So you 198 00:10:57,840 --> 00:11:02,000 Speaker 1: had mentioned um in your prepared comments. The Short Hills Mall, 199 00:11:02,400 --> 00:11:05,480 Speaker 1: the short Hills mall cannot be expanded anymore. Um it 200 00:11:05,679 --> 00:11:09,040 Speaker 1: is um it is capped out in terms of square footage, 201 00:11:09,600 --> 00:11:12,200 Speaker 1: and yet in the zip code that its services has 202 00:11:12,200 --> 00:11:15,160 Speaker 1: been a substantial amount of wealth created obviously over the 203 00:11:15,240 --> 00:11:17,760 Speaker 1: last one to two years, both in terms of real 204 00:11:17,880 --> 00:11:21,360 Speaker 1: estate prices and equity market prices. So spending power is 205 00:11:21,400 --> 00:11:23,719 Speaker 1: increased and you have the square footage has it, so 206 00:11:24,080 --> 00:11:27,600 Speaker 1: the result should be better productivity for the malls that 207 00:11:27,640 --> 00:11:30,960 Speaker 1: are located in the best zip codes, and particularly big 208 00:11:31,000 --> 00:11:34,360 Speaker 1: malls and suburban markets cannot be expanded. Jim, thank you 209 00:11:34,360 --> 00:11:36,360 Speaker 1: so much for joining us. Really appreciate it. Jim Sullivan, 210 00:11:36,400 --> 00:11:39,480 Speaker 1: Managing director and read analyst at b T I e G. 211 00:11:40,240 --> 00:11:43,240 Speaker 1: Talking about the mall business again, Folks aren't flocking to 212 00:11:43,280 --> 00:11:50,440 Speaker 1: the malls. It appears here as we do Black Friday protests. Yeah, 213 00:11:50,440 --> 00:11:52,000 Speaker 1: we're gona stick here for another two hours with you. 214 00:11:52,040 --> 00:11:55,839 Speaker 1: We've got these markets just moving pretty dramatically. I want 215 00:11:55,840 --> 00:11:58,320 Speaker 1: to bring a guy Johnson Bloomberg News from London joining 216 00:11:58,400 --> 00:12:00,240 Speaker 1: us for the next couple of hours. Guy, you as 217 00:12:00,240 --> 00:12:03,719 Speaker 1: heady ripping day, very tough day in the footsie of 218 00:12:03,880 --> 00:12:06,839 Speaker 1: three points six percent today. We were expecting to David 219 00:12:06,880 --> 00:12:09,240 Speaker 1: to be a day that we would spend our day 220 00:12:09,240 --> 00:12:12,480 Speaker 1: talking about shopping. Yes, it was meant to be Black Friday. 221 00:12:12,640 --> 00:12:16,200 Speaker 1: It turns out it's Red Friday. And and we have 222 00:12:16,280 --> 00:12:19,520 Speaker 1: been yeah, looking at some really brutal numbers. Um this 223 00:12:19,600 --> 00:12:21,720 Speaker 1: as we try and figure out whether or not actually 224 00:12:22,120 --> 00:12:25,360 Speaker 1: we are done with COVID, not done with COVID and 225 00:12:25,440 --> 00:12:28,000 Speaker 1: we got COVID under control, or as COVID got us 226 00:12:28,080 --> 00:12:32,400 Speaker 1: under control. Certainly today it feels like it is the latter, 227 00:12:33,080 --> 00:12:35,560 Speaker 1: because this new variant to certainly spook markets. I think 228 00:12:35,600 --> 00:12:38,160 Speaker 1: it's just a lack of information Paul, that we that 229 00:12:38,280 --> 00:12:40,200 Speaker 1: we have at the moment that I think it's really 230 00:12:40,200 --> 00:12:43,000 Speaker 1: spooky people. Everybody thought that they got their arms around 231 00:12:43,080 --> 00:12:46,840 Speaker 1: understanding what delta and the variant was gonna mean, whether 232 00:12:46,960 --> 00:12:49,200 Speaker 1: or not we would be able to control it with vaccine. Certainly, 233 00:12:49,200 --> 00:12:51,000 Speaker 1: the evidence thus far has been that we were doing 234 00:12:51,000 --> 00:12:52,839 Speaker 1: a fairly good job of that. Yes, we're seeing a 235 00:12:52,880 --> 00:12:55,960 Speaker 1: pick up in Europe, but in areas where we have 236 00:12:56,000 --> 00:12:58,280 Speaker 1: seen high vaccination levels, it does seem that we have 237 00:12:58,360 --> 00:13:02,120 Speaker 1: our arms around it. Today that's been completely thrown out 238 00:13:02,120 --> 00:13:04,000 Speaker 1: of the window. The real question is does the health 239 00:13:04,000 --> 00:13:07,319 Speaker 1: care sector had the health care sector seen this one coming. 240 00:13:07,679 --> 00:13:12,000 Speaker 1: Let's find out. Dr April Capoo, acute nurse practitioner and 241 00:13:12,640 --> 00:13:17,880 Speaker 1: president of the Association of Nurse Practitioners, joining us. Now, Dr, 242 00:13:18,480 --> 00:13:21,079 Speaker 1: let's just talk about what we've seen today and what 243 00:13:21,120 --> 00:13:24,320 Speaker 1: we've learned today. A lot of people in financial markets 244 00:13:24,320 --> 00:13:27,840 Speaker 1: have been caught by surprise by the emergence of a 245 00:13:28,040 --> 00:13:31,560 Speaker 1: new variant that is much mutated and as a result, 246 00:13:31,640 --> 00:13:36,959 Speaker 1: has the potential maybe to evade vaccines, to be more transmissible, 247 00:13:36,960 --> 00:13:40,520 Speaker 1: to be potentially more deadly. As you, as a health 248 00:13:40,520 --> 00:13:43,600 Speaker 1: care professional, had you expected like something like something like 249 00:13:43,640 --> 00:13:49,120 Speaker 1: this would happen, Well, thank you, I agree with you, 250 00:13:49,240 --> 00:13:52,079 Speaker 1: and I think what we know is that until we 251 00:13:52,160 --> 00:13:56,960 Speaker 1: have more of our population fully vaccinated, we're going to 252 00:13:57,040 --> 00:14:01,040 Speaker 1: continue to see the emergence of the variants, and the 253 00:14:01,120 --> 00:14:04,800 Speaker 1: variants will continue to get more severe, the transmission rate 254 00:14:04,800 --> 00:14:07,640 Speaker 1: will get higher. We know this because we know this 255 00:14:07,720 --> 00:14:12,000 Speaker 1: is what happens with viruses, and so we need to 256 00:14:12,040 --> 00:14:16,160 Speaker 1: get more of the population vaccinated. That's our number one defense. 257 00:14:17,360 --> 00:14:21,520 Speaker 1: As far as what we're seeing today, still, the patients 258 00:14:21,560 --> 00:14:25,560 Speaker 1: that are coming into the hospital, um, those the severe disease, 259 00:14:25,800 --> 00:14:30,280 Speaker 1: those continue to remain the unvaccinated for the most parts 260 00:14:30,760 --> 00:14:35,400 Speaker 1: or those that are very compromised, and it still remains 261 00:14:35,520 --> 00:14:38,720 Speaker 1: to be the DELFA variant. Now what we're seeing in 262 00:14:38,760 --> 00:14:43,160 Speaker 1: South Africa today. Yes, this has been um big breaking 263 00:14:43,200 --> 00:14:47,880 Speaker 1: news for everyone and we are following it very closely 264 00:14:48,320 --> 00:14:50,760 Speaker 1: and we have to see what happens with this variant. 265 00:14:51,080 --> 00:14:55,240 Speaker 1: But in the meantime, it is continue to urge to 266 00:14:55,280 --> 00:14:58,280 Speaker 1: answer questions, to get the word out, to make the 267 00:14:58,360 --> 00:15:01,960 Speaker 1: vaccine available because it has been shown to be effective 268 00:15:02,000 --> 00:15:07,360 Speaker 1: in reducing severity of disease, severity of illnesses and hospitalization 269 00:15:07,480 --> 00:15:10,880 Speaker 1: and deaths. And so let's get people vaccinated as our 270 00:15:10,960 --> 00:15:16,000 Speaker 1: number one tool. And then in the meantime, for those 271 00:15:16,040 --> 00:15:20,280 Speaker 1: that cannot be vaccinated, they're not in eligible for whatever reason, 272 00:15:20,440 --> 00:15:25,840 Speaker 1: wear the mask, get tested often. Um, but I completely 273 00:15:25,880 --> 00:15:28,560 Speaker 1: agree we're going to continue to see these variants until 274 00:15:28,560 --> 00:15:32,120 Speaker 1: we have more of our population vaccinated. So, Dr you're 275 00:15:32,640 --> 00:15:36,440 Speaker 1: a professor at Vanderbilt University, one of the leading healthcare 276 00:15:36,800 --> 00:15:39,840 Speaker 1: universities in the United States. It's also in a region 277 00:15:39,880 --> 00:15:41,880 Speaker 1: of the country down to Nashville, Tennessee, that has had 278 00:15:41,920 --> 00:15:46,360 Speaker 1: some challenges with vaccination rates. With mask wearing, You're on 279 00:15:46,400 --> 00:15:50,440 Speaker 1: the front lines here. Do you have any confidence that 280 00:15:50,840 --> 00:15:54,200 Speaker 1: we in the US, and more importantly in other parts 281 00:15:54,240 --> 00:16:00,440 Speaker 1: of the world, can get vaccination rates materially higher. Well, 282 00:16:00,520 --> 00:16:03,040 Speaker 1: what we're saying, according to the CDC, now we've had 283 00:16:03,080 --> 00:16:08,000 Speaker 1: about six of our population across the US is fully vaccinated, 284 00:16:08,520 --> 00:16:11,360 Speaker 1: so that means they've had two doses, and then we've 285 00:16:11,360 --> 00:16:14,760 Speaker 1: had over thirty seven million that have gotten boosters, and 286 00:16:14,760 --> 00:16:18,320 Speaker 1: now all adults are eligible for boosters. So we are 287 00:16:18,440 --> 00:16:22,880 Speaker 1: seeing movement in that direction. But Tennessee, we remain lower 288 00:16:23,320 --> 00:16:27,280 Speaker 1: UM or more around fifty of our population is fully vaccinated, 289 00:16:27,600 --> 00:16:30,000 Speaker 1: and so that still means we have lots of work 290 00:16:30,080 --> 00:16:32,640 Speaker 1: to do. I'm a nurse practitioner. I spend a lot 291 00:16:32,720 --> 00:16:36,360 Speaker 1: of time out in the community talking to communities about 292 00:16:36,440 --> 00:16:40,200 Speaker 1: the importance of vaccinating and answering questions. These are great 293 00:16:40,280 --> 00:16:43,040 Speaker 1: questions that they bring up every day as to why 294 00:16:43,080 --> 00:16:47,320 Speaker 1: they're not getting vaccinated. Until answering those questions, UM is 295 00:16:47,440 --> 00:16:52,360 Speaker 1: very important. Are you expecting that as we head into 296 00:16:52,640 --> 00:16:57,480 Speaker 1: into winter that we are going to be seeing higher 297 00:16:57,480 --> 00:16:59,480 Speaker 1: case counts? I appreciate that we're Novembre about to go 298 00:16:59,560 --> 00:17:01,760 Speaker 1: into the say, but but I imagine it's still pretty 299 00:17:01,800 --> 00:17:04,320 Speaker 1: warm where you are, are we going to see high 300 00:17:04,320 --> 00:17:06,560 Speaker 1: case counts? You just give me a number that's in 301 00:17:06,600 --> 00:17:11,800 Speaker 1: the fifties of the population vaccinated. Eastern Europe, which is 302 00:17:11,840 --> 00:17:16,240 Speaker 1: in the mid sixties has seen an absolute explosion of 303 00:17:16,320 --> 00:17:21,720 Speaker 1: cases over the last few weeks. And that's what we're 304 00:17:21,720 --> 00:17:26,200 Speaker 1: seeing in the US. We're saying seeing in case counts. 305 00:17:26,240 --> 00:17:30,640 Speaker 1: We're seeing that as well. UM. However, we are not 306 00:17:30,720 --> 00:17:35,320 Speaker 1: seeing the dramatic increase in hospitalizations and deaths. So that's 307 00:17:35,440 --> 00:17:39,080 Speaker 1: that's the number that's very important to follow. UM. But 308 00:17:39,320 --> 00:17:41,840 Speaker 1: we are seeing an increase in case counts, and so 309 00:17:41,960 --> 00:17:45,840 Speaker 1: what is to come after that is very important to follow. UM. 310 00:17:45,920 --> 00:17:48,760 Speaker 1: We need to make sure testing is available to everyone 311 00:17:48,880 --> 00:17:51,800 Speaker 1: everywhere so that they can get tested as soon as 312 00:17:51,800 --> 00:17:55,560 Speaker 1: they experience signs their symptoms. UM, even if they if 313 00:17:55,600 --> 00:18:00,400 Speaker 1: they are unvaccinated and they're going somewhere, get tested where MASK. 314 00:18:00,920 --> 00:18:03,240 Speaker 1: We have to do whatever we can to reduce the 315 00:18:03,320 --> 00:18:06,760 Speaker 1: transmission rate UM so that we can keep our numbers 316 00:18:06,760 --> 00:18:12,040 Speaker 1: of hospitalizations and deaths down. That you mentioned fully vaccinated, 317 00:18:12,080 --> 00:18:17,800 Speaker 1: that's tennessee, but in the United States we're around fully vaccinated. 318 00:18:18,600 --> 00:18:21,359 Speaker 1: All right, Dr April Capo, thank you so much. We 319 00:18:21,400 --> 00:18:25,040 Speaker 1: really appreciate. Dr April Capo, acute nurse practitioner and president 320 00:18:25,080 --> 00:18:29,679 Speaker 1: of the American Association Nurse Practitioners, also professor at Vanderbilt University. 321 00:18:29,720 --> 00:18:33,040 Speaker 1: And again, guy, it's just challenging. It just seems like 322 00:18:33,080 --> 00:18:35,400 Speaker 1: once you get a handle on one wave delta, here 323 00:18:35,400 --> 00:18:38,880 Speaker 1: comes another one potentially. Well, yeah, that is what we're 324 00:18:38,880 --> 00:18:41,639 Speaker 1: dealing with here. We The problem is we just don't 325 00:18:41,680 --> 00:18:45,800 Speaker 1: know enough about it at the moment to form informed, 326 00:18:46,240 --> 00:18:50,239 Speaker 1: uh sort of decision making. We're cutting flights. But the 327 00:18:50,440 --> 00:18:52,280 Speaker 1: but the suggestion of all the people I've been talking 328 00:18:52,320 --> 00:18:55,760 Speaker 1: to today is that basically this is probably already spread, 329 00:18:56,119 --> 00:19:03,560 Speaker 1: we should expect it to pick up. Well, I'll admit 330 00:19:03,600 --> 00:19:05,520 Speaker 1: something to you all, um, A lot of the smart 331 00:19:05,560 --> 00:19:09,400 Speaker 1: kids are talking about distributed finance. I don't really know 332 00:19:09,480 --> 00:19:12,359 Speaker 1: what it means, but fortunately our next guest does, Cam Harvey. 333 00:19:12,720 --> 00:19:16,880 Speaker 1: He's a professor finance at Duke University's Fuqua School of Business, 334 00:19:16,880 --> 00:19:19,760 Speaker 1: my former professor when I was a student at Fuqua. Camp. 335 00:19:19,800 --> 00:19:21,960 Speaker 1: Thanks so much for joining us here. I know you've 336 00:19:21,960 --> 00:19:24,240 Speaker 1: got a new book out, which is really why this 337 00:19:24,359 --> 00:19:26,560 Speaker 1: is great to chat with you, entitled Defy in the 338 00:19:26,560 --> 00:19:33,520 Speaker 1: Future of Finance. What is what is defying. So decentralized 339 00:19:33,560 --> 00:19:38,240 Speaker 1: finance is a way to transact where you kind of 340 00:19:38,240 --> 00:19:41,080 Speaker 1: avoid a lot of middle people. So, for example, if 341 00:19:41,080 --> 00:19:43,159 Speaker 1: you want to buy or sell stock, you need to 342 00:19:43,200 --> 00:19:46,720 Speaker 1: deal with a broker, you need to go to a 343 00:19:46,760 --> 00:19:51,840 Speaker 1: stock exchange and things like that, Whereas in decentralized finance, 344 00:19:51,880 --> 00:19:55,640 Speaker 1: you're training with an algorithm, so the algorithm doesn't care 345 00:19:55,680 --> 00:19:58,520 Speaker 1: if you're a buyer or seller. You sell or you 346 00:19:58,640 --> 00:20:02,119 Speaker 1: buy with algorithm. So it takes a lot of the 347 00:20:02,160 --> 00:20:05,720 Speaker 1: middle layer out, and decentralized finance does a lot more 348 00:20:06,000 --> 00:20:10,760 Speaker 1: because it's not just trading of securities. It could be UH, 349 00:20:10,880 --> 00:20:16,760 Speaker 1: savings and lending, UH, it could be tokenization, UH, it 350 00:20:16,760 --> 00:20:19,600 Speaker 1: could be insurance. That. There's many different things that are 351 00:20:19,640 --> 00:20:23,680 Speaker 1: possible in this space, but the key thing is that 352 00:20:23,760 --> 00:20:26,520 Speaker 1: you take a lot of that middle layer out. And 353 00:20:26,600 --> 00:20:31,120 Speaker 1: when you do that, it's very interesting because today, if 354 00:20:31,200 --> 00:20:35,159 Speaker 1: you buy a stock, for example, you can buy it 355 00:20:35,600 --> 00:20:40,040 Speaker 1: pretty instantly, but the settlement of the stock it actually 356 00:20:40,080 --> 00:20:46,159 Speaker 1: takes two days, whereas in this space the settlement is immediate. 357 00:20:46,480 --> 00:20:50,239 Speaker 1: So there's no difference between execution of a trade and 358 00:20:50,280 --> 00:20:55,399 Speaker 1: the settlement of a trade that regulates feel about that Professor, Um, 359 00:20:55,440 --> 00:20:58,760 Speaker 1: we spend a lot of time over the last few years, uh, 360 00:20:59,000 --> 00:21:02,879 Speaker 1: making sure that that a lot of price action on 361 00:21:02,960 --> 00:21:08,120 Speaker 1: financial markets is centrally cleared. It allows visibility, it allows safety. 362 00:21:08,200 --> 00:21:14,600 Speaker 1: Does this allow for that? So on the visibility, everything 363 00:21:14,920 --> 00:21:19,919 Speaker 1: is transparent in these markets. So the current markets are 364 00:21:19,960 --> 00:21:23,399 Speaker 1: the markets that are actually opaque. And it's also the 365 00:21:23,440 --> 00:21:26,640 Speaker 1: case that the same asset could be traded on multiple 366 00:21:27,160 --> 00:21:31,240 Speaker 1: decentralized exchanges. And and let me be clear here, um, 367 00:21:31,280 --> 00:21:37,520 Speaker 1: popular exchanges like finance and coin base, they're not decentralized finance. 368 00:21:37,920 --> 00:21:44,000 Speaker 1: They're just centralized broker exchanges that people actually deal with. 369 00:21:44,680 --> 00:21:47,880 Speaker 1: And decentralized finance, you're just dealing with an algorithm. And look, 370 00:21:48,560 --> 00:21:51,879 Speaker 1: to me, it's not too hard to imagine in the 371 00:21:51,920 --> 00:21:55,240 Speaker 1: future we're gonna be dealing with algorithms, not just in finance, 372 00:21:55,920 --> 00:21:58,800 Speaker 1: but in finance. It's kind of low hanging fruit to 373 00:21:58,840 --> 00:22:02,080 Speaker 1: actually do this as sort of the regulators, um, And 374 00:22:02,119 --> 00:22:05,159 Speaker 1: there's multiple layers here. Uh, this is a new space, 375 00:22:05,840 --> 00:22:11,080 Speaker 1: and they've got a tough job because obviously cryptocurrency wasn't 376 00:22:11,080 --> 00:22:15,600 Speaker 1: detailed in the nine three Securities Act, so they need 377 00:22:15,640 --> 00:22:20,639 Speaker 1: to improvise. But they need the balance and what I 378 00:22:20,680 --> 00:22:24,919 Speaker 1: mean by that is nobody wants people taking the advantage 379 00:22:24,920 --> 00:22:28,240 Speaker 1: of by people in the crypto space, and we've seen 380 00:22:28,440 --> 00:22:32,359 Speaker 1: some of that already. But if the regulations are too 381 00:22:32,400 --> 00:22:37,359 Speaker 1: harsh and they reduced that risk to zero, then these 382 00:22:37,400 --> 00:22:42,280 Speaker 1: new ideas will simply move off shore and uh and 383 00:22:42,280 --> 00:22:46,080 Speaker 1: and no country wants their best ideas to move off shore. 384 00:22:46,520 --> 00:22:49,160 Speaker 1: So we'll see in the next few years some sort 385 00:22:49,200 --> 00:22:52,400 Speaker 1: of regulatory guidance. You know, I do think that that's 386 00:22:52,440 --> 00:22:56,840 Speaker 1: important given that most of the trading today is just 387 00:22:57,359 --> 00:23:01,280 Speaker 1: purely speculative trading in the too complex. So when I 388 00:23:01,280 --> 00:23:05,480 Speaker 1: say decentralized finance, that's a small part today of what's 389 00:23:05,520 --> 00:23:12,280 Speaker 1: actually happening. And indeed, today's market action verifies that most 390 00:23:12,320 --> 00:23:15,040 Speaker 1: of the trading going on in the crypto space is 391 00:23:15,119 --> 00:23:20,000 Speaker 1: purely speculative in a risk risk off day. Um, you 392 00:23:20,080 --> 00:23:22,320 Speaker 1: talk about the market going down two percent, to take 393 00:23:22,359 --> 00:23:25,199 Speaker 1: a look at what's happening to bitcoin and ethereum bitcoin 394 00:23:25,240 --> 00:23:29,160 Speaker 1: down seven point professor. You know, when I think about 395 00:23:29,200 --> 00:23:31,879 Speaker 1: the centralized finance, and when I think that even you know, 396 00:23:31,960 --> 00:23:34,359 Speaker 1: just just crypto, which we have some more experience with, 397 00:23:35,480 --> 00:23:38,639 Speaker 1: I don't see it being led by JP Morgan or 398 00:23:38,840 --> 00:23:43,200 Speaker 1: Bank of America who was going to innovate and develop 399 00:23:43,880 --> 00:23:48,560 Speaker 1: this new area of finance. Yeah, it's really interesting because 400 00:23:48,680 --> 00:23:53,200 Speaker 1: you ask the traditional banks like JP Morgan and Bank 401 00:23:53,240 --> 00:23:57,520 Speaker 1: of America to innovate, they essentially look at this as 402 00:23:57,560 --> 00:24:03,040 Speaker 1: a cannibalization of their business. US. So decentralized finance is 403 00:24:03,160 --> 00:24:08,800 Speaker 1: an existential threat to our current commercial banks. So so 404 00:24:08,920 --> 00:24:12,240 Speaker 1: for them, uh, to be a leader in this space 405 00:24:12,640 --> 00:24:17,160 Speaker 1: is fraught with risk because they're basically if they jump 406 00:24:17,200 --> 00:24:21,119 Speaker 1: into this, uh, it means that their role will be 407 00:24:21,160 --> 00:24:25,399 Speaker 1: a much smaller role in the future. So this just 408 00:24:25,520 --> 00:24:30,679 Speaker 1: to be clear, Um, decentralized finances, where you're dealing with peers, 409 00:24:30,720 --> 00:24:34,040 Speaker 1: everybody's appear, there's no client, there's no customer, there's no banker. 410 00:24:34,600 --> 00:24:38,880 Speaker 1: Everybody's appear and and that's a totally different model. So 411 00:24:38,920 --> 00:24:43,480 Speaker 1: we don't rely upon JP Morgan or Bank of America 412 00:24:43,600 --> 00:24:46,520 Speaker 1: and to innovate in this space. There's like a whole 413 00:24:46,560 --> 00:24:51,000 Speaker 1: new ecosystem out there. Uh. That is it's driven by 414 00:24:51,000 --> 00:24:56,800 Speaker 1: economists and computer scientists to essentially rebuild our financial system, 415 00:24:56,840 --> 00:24:59,960 Speaker 1: not to renovate, but to rebuild to reduce those current 416 00:25:00,040 --> 00:25:03,560 Speaker 1: sactions costs and reducing those transaction costs is a good 417 00:25:03,600 --> 00:25:07,760 Speaker 1: idea that leads to economic growth. Can when you see 418 00:25:07,840 --> 00:25:11,479 Speaker 1: a market like this, um, you know, it's just I'm 419 00:25:11,520 --> 00:25:13,560 Speaker 1: just gonna talk since the pandemic where we had that 420 00:25:13,680 --> 00:25:16,000 Speaker 1: dramatic sell off at the beginning of the pandemic, then 421 00:25:16,080 --> 00:25:20,160 Speaker 1: an extraordinary rally, uh, and then you get days like today. 422 00:25:20,200 --> 00:25:24,760 Speaker 1: Is today an efficient market from your perspective or how 423 00:25:24,760 --> 00:25:30,080 Speaker 1: do you think about it? So no market is perfectly efficient. 424 00:25:30,760 --> 00:25:36,000 Speaker 1: So there's information that came to the market today, um, 425 00:25:36,080 --> 00:25:39,160 Speaker 1: and it's negative information and we go into risk off. 426 00:25:39,760 --> 00:25:45,240 Speaker 1: So it reminds me somewhat of March if you recollect 427 00:25:45,280 --> 00:25:48,719 Speaker 1: that that was the month where we realized how serious 428 00:25:49,040 --> 00:25:56,639 Speaker 1: the COVID nineteen actually was. Equity markets plunge, UM and 429 00:25:56,800 --> 00:26:01,520 Speaker 1: other kind of risk on assets the same thing. So 430 00:26:01,680 --> 00:26:10,320 Speaker 1: gold drop, UM, Bitcoin drop, and people piled into safe haven, 431 00:26:11,359 --> 00:26:15,600 Speaker 1: which is US treasury bones in cash. And it's very 432 00:26:15,640 --> 00:26:19,880 Speaker 1: similar in terms of what is happening today. Um, we're 433 00:26:19,920 --> 00:26:23,400 Speaker 1: scared that we're going to replicate or could be even 434 00:26:23,440 --> 00:26:29,200 Speaker 1: worse in terms of COVID UH nineteen. And it's a 435 00:26:29,280 --> 00:26:32,399 Speaker 1: risk off day. And again do you see that in 436 00:26:32,480 --> 00:26:35,919 Speaker 1: the market. Uh, it's interesting to me that the so 437 00:26:36,040 --> 00:26:42,040 Speaker 1: called safe haven asset gold is essentially unchanged today, whereas 438 00:26:42,040 --> 00:26:47,040 Speaker 1: stocks are substantially down and as you mentioned, bitcoin is 439 00:26:47,080 --> 00:26:51,359 Speaker 1: down nearly eight percent and the other speculative cryptos like 440 00:26:51,640 --> 00:26:56,600 Speaker 1: doge coin down even more. Like does that, in your 441 00:26:56,600 --> 00:27:02,240 Speaker 1: mind draw a line between growth stock um, the mean stocks, 442 00:27:02,280 --> 00:27:07,359 Speaker 1: the retail stocks, and crypto. Has crypto become very correlated 443 00:27:07,560 --> 00:27:12,399 Speaker 1: with equity markets? Yes? So, and I've mentioned this for 444 00:27:12,440 --> 00:27:17,200 Speaker 1: a very long time. So given the speculative interest in cryptocurrencies, 445 00:27:17,680 --> 00:27:22,720 Speaker 1: they actually have data. So that means that when the market, 446 00:27:22,760 --> 00:27:26,000 Speaker 1: the equity market plunges, they tend to do the same thing. 447 00:27:26,640 --> 00:27:31,159 Speaker 1: And again March is a good example of that. And 448 00:27:31,200 --> 00:27:36,080 Speaker 1: then what happened afterwards, the stock market realized that we're 449 00:27:36,080 --> 00:27:40,000 Speaker 1: going to have a vaccine eventually, UH it turned to 450 00:27:40,000 --> 00:27:45,200 Speaker 1: a risk on situation. People piled into UH, into equity markets, 451 00:27:45,280 --> 00:27:48,600 Speaker 1: drove them to all time highs. Gold went to its 452 00:27:48,640 --> 00:27:53,359 Speaker 1: third highest level ever and Bitcoin went through the roof. 453 00:27:54,119 --> 00:27:58,320 Speaker 1: So so this is very consistent with the narrative that 454 00:27:58,760 --> 00:28:06,159 Speaker 1: the crypto complex UH is very influenced by speculative investors theoretically, 455 00:28:06,400 --> 00:28:12,200 Speaker 1: so theoretically the cryptocurrencies are decoupled from the economy in general. 456 00:28:12,359 --> 00:28:15,399 Speaker 1: So bitcoin has got an algorithmic money supply that caps 457 00:28:15,400 --> 00:28:18,520 Speaker 1: out at twenty one million. It has nothing to do 458 00:28:18,600 --> 00:28:22,480 Speaker 1: with FED policy or FED money supply or any other 459 00:28:22,560 --> 00:28:28,000 Speaker 1: central bank. Yet given the speculative interest in the cryptos, 460 00:28:28,760 --> 00:28:32,080 Speaker 1: they tend to move with the other risk assets, and 461 00:28:32,160 --> 00:28:35,320 Speaker 1: they tend to move more than the other risk assets, 462 00:28:35,640 --> 00:28:39,480 Speaker 1: especially in a period of a draw down like today. 463 00:28:40,200 --> 00:28:42,360 Speaker 1: All right, Cam, thank you so much. We really appreciate 464 00:28:42,480 --> 00:28:45,920 Speaker 1: your time here. Cam Harry, Professor Finance at Duke University's 465 00:28:46,120 --> 00:28:49,520 Speaker 1: uh Fuqual School of Business. He has a new book 466 00:28:49,520 --> 00:28:52,560 Speaker 1: app Defy and the Future of Finance, so as we 467 00:28:52,600 --> 00:28:55,720 Speaker 1: all try to get a little bit smarter about decentralized finance. 468 00:28:56,240 --> 00:28:58,720 Speaker 1: I read that book. It's a quick way to kind 469 00:28:58,720 --> 00:29:00,520 Speaker 1: of get up the speed. So I wreck commend that, 470 00:29:00,760 --> 00:29:07,280 Speaker 1: and we appreciate some moment we became hurry. We focused 471 00:29:07,320 --> 00:29:11,000 Speaker 1: on coming into today. What was happening with inflation. We've 472 00:29:11,040 --> 00:29:14,320 Speaker 1: seen obviously the supply chain crunches. We've seen the impact 473 00:29:14,320 --> 00:29:17,480 Speaker 1: that they've been happening having there's been labor shortages. We've 474 00:29:17,520 --> 00:29:19,960 Speaker 1: been watching that carefully. We've obviously seen a high price 475 00:29:20,000 --> 00:29:22,720 Speaker 1: of fuel as well. That started to certainly abate today 476 00:29:22,760 --> 00:29:25,400 Speaker 1: with a massive move down in the price of fuel. 477 00:29:25,720 --> 00:29:29,200 Speaker 1: The question is is this just a brief blip and 478 00:29:29,280 --> 00:29:31,640 Speaker 1: we bounce back, or are we going to start to 479 00:29:31,640 --> 00:29:35,320 Speaker 1: see actually a new normal starting to assert itself as 480 00:29:35,360 --> 00:29:38,080 Speaker 1: we realize that maybe actually we're going to be dealing 481 00:29:38,120 --> 00:29:41,040 Speaker 1: with this, with this COVID crisis for a lot longer. 482 00:29:41,360 --> 00:29:44,280 Speaker 1: Supply chains absolutely front and center, particularly on a day 483 00:29:44,560 --> 00:29:48,120 Speaker 1: like today Black Friday, So let's get some some insight 484 00:29:48,200 --> 00:29:51,880 Speaker 1: into what is happening. Page Van Fossen joins us now 485 00:29:52,040 --> 00:29:56,640 Speaker 1: vice president of e Commerce Operations for DHR, working on 486 00:29:56,640 --> 00:29:59,520 Speaker 1: the supply chain side of the business. Page. Welcome to 487 00:29:59,520 --> 00:30:02,400 Speaker 1: the program. Thank you very much, indeed for your time. 488 00:30:02,920 --> 00:30:04,720 Speaker 1: We've been talking to a number of people already about 489 00:30:04,720 --> 00:30:07,560 Speaker 1: how the shopping season is going today, that there does 490 00:30:07,600 --> 00:30:10,400 Speaker 1: seem to be a sense that we have fully stacked 491 00:30:10,400 --> 00:30:13,440 Speaker 1: shells that actually not only in bricks and mortar, but 492 00:30:13,560 --> 00:30:17,800 Speaker 1: also any commerce that actually inventories are reasonably good and 493 00:30:17,880 --> 00:30:19,720 Speaker 1: as a result of which consumers are going to get 494 00:30:19,760 --> 00:30:22,400 Speaker 1: what they want. You've also been working very hard just 495 00:30:22,400 --> 00:30:25,240 Speaker 1: give us your sense kind of where we are, how 496 00:30:25,480 --> 00:30:28,200 Speaker 1: how well stacked are we with inventories. Do you expect 497 00:30:28,280 --> 00:30:31,720 Speaker 1: the consumers are going to see any shortages? I would 498 00:30:31,760 --> 00:30:37,280 Speaker 1: say right now, our facilities are looking really stacked with inventory. 499 00:30:37,360 --> 00:30:40,080 Speaker 1: As you say, I think it was a little bit 500 00:30:40,160 --> 00:30:43,600 Speaker 1: later coming that than we would usually have experienced in 501 00:30:43,760 --> 00:30:47,840 Speaker 1: previous years. So we have been UH had a glut 502 00:30:47,960 --> 00:30:51,440 Speaker 1: of labor needs as we're both bringing in inventory that's 503 00:30:51,440 --> 00:30:55,320 Speaker 1: been expedited as well as trying to get the orders 504 00:30:55,360 --> 00:30:57,520 Speaker 1: out the door. I was out on the floor this 505 00:30:57,600 --> 00:31:01,080 Speaker 1: morning and some of our operations. UM, so it's been 506 00:31:01,120 --> 00:31:04,680 Speaker 1: a good start to the Blacks Friday, and I would say, um, 507 00:31:04,760 --> 00:31:08,640 Speaker 1: right now, if consumers are placing orders, they should be 508 00:31:08,680 --> 00:31:12,080 Speaker 1: able to get what they are looking for. Page. You know, 509 00:31:12,600 --> 00:31:15,160 Speaker 1: as we think about this UH supply chain, it's it's 510 00:31:15,160 --> 00:31:17,240 Speaker 1: it's a global issue. It's it's probably an area the 511 00:31:17,320 --> 00:31:19,600 Speaker 1: economy that most folks didn't even really think about. They 512 00:31:19,640 --> 00:31:22,200 Speaker 1: just assume that it just happens. The box shows up 513 00:31:22,480 --> 00:31:25,960 Speaker 1: when they say it is. One of the backdrops seems 514 00:31:26,000 --> 00:31:28,120 Speaker 1: to be labor, you know what. That seems to be 515 00:31:28,160 --> 00:31:31,440 Speaker 1: a real challenge, whether it's having folks on the doctor 516 00:31:31,480 --> 00:31:35,320 Speaker 1: onload the ships, having truckers to actually get the goods Inland. 517 00:31:35,840 --> 00:31:37,680 Speaker 1: How are you thinking about labor and how is it 518 00:31:37,720 --> 00:31:43,120 Speaker 1: impacting your business? Yes, definitely, labor is a challenge across 519 00:31:43,160 --> 00:31:46,040 Speaker 1: the board. You know. I think as anyone who's driving 520 00:31:46,120 --> 00:31:48,440 Speaker 1: through their hometown, they can see all of the help 521 00:31:48,560 --> 00:31:51,240 Speaker 1: wanted signs out in the front of businesses and it's 522 00:31:51,280 --> 00:31:56,080 Speaker 1: no different and supply chain. You know, at dhl UM, 523 00:31:56,200 --> 00:32:00,440 Speaker 1: we are very excited to report that we have really 524 00:32:00,480 --> 00:32:06,520 Speaker 1: had a very successful season and UM recruiting and obtaining labor. Uh. 525 00:32:06,520 --> 00:32:10,360 Speaker 1: You know, in past years, especially the last few, we 526 00:32:10,480 --> 00:32:14,000 Speaker 1: have seen a tightening of the labor market and the 527 00:32:14,040 --> 00:32:19,960 Speaker 1: competition was really forgetting the best talent. UM. Today there 528 00:32:20,040 --> 00:32:23,000 Speaker 1: just isn't enough talent to go around. There's not enough 529 00:32:23,040 --> 00:32:26,320 Speaker 1: people for all of the jobs that there are, and 530 00:32:26,400 --> 00:32:29,360 Speaker 1: so really there are gonna be winners and losers when 531 00:32:29,400 --> 00:32:32,400 Speaker 1: it comes to labor and d h l UM, you know, 532 00:32:32,520 --> 00:32:36,800 Speaker 1: leveraging our strong brand recognition along as our with our 533 00:32:36,840 --> 00:32:42,360 Speaker 1: reputation as UH employer of choice, UM have really seen 534 00:32:42,640 --> 00:32:48,240 Speaker 1: good success this year. Despite that, as you say, there 535 00:32:48,400 --> 00:32:50,760 Speaker 1: is a there is a kind of ongoing issue with labor. 536 00:32:50,880 --> 00:32:54,200 Speaker 1: While you may have been successful recently, you're obviously looking 537 00:32:54,240 --> 00:32:57,360 Speaker 1: to the future and wondering whether that will continue. As 538 00:32:57,400 --> 00:33:01,520 Speaker 1: a result, are we going to see increasingly fulfillment centers 539 00:33:01,560 --> 00:33:05,160 Speaker 1: being automated? How much automation are you seeing now? How 540 00:33:05,240 --> 00:33:07,480 Speaker 1: much aultomation did it? We'll see in five years time, 541 00:33:08,800 --> 00:33:11,480 Speaker 1: Oh for sure, I think. UM, I guess I would 542 00:33:11,520 --> 00:33:14,600 Speaker 1: call this and I've been I've been an e commerce 543 00:33:14,640 --> 00:33:17,720 Speaker 1: since uh when, since it was mail order, So I've 544 00:33:17,720 --> 00:33:19,720 Speaker 1: been in the business for a very long time. And 545 00:33:19,760 --> 00:33:23,040 Speaker 1: I would say from an operation's perspective, this is going 546 00:33:23,120 --> 00:33:26,760 Speaker 1: to be one of the most transformative periods that we 547 00:33:26,880 --> 00:33:31,600 Speaker 1: have seen UM specifically because of the labor shortage. You 548 00:33:31,600 --> 00:33:33,640 Speaker 1: know how over the last few years we have seen 549 00:33:33,800 --> 00:33:40,440 Speaker 1: innovation began two UH appear though UM it wasn't quite 550 00:33:40,480 --> 00:33:44,600 Speaker 1: mature enough and the return on the investment wasn't quite there, 551 00:33:45,120 --> 00:33:48,040 Speaker 1: And that has really shifted in the last twelve months. 552 00:33:48,440 --> 00:33:51,880 Speaker 1: Being from a DHL perspective, UM, we've been a little 553 00:33:51,880 --> 00:33:54,960 Speaker 1: bit ahead of the curves. We've been focused on integrating 554 00:33:55,040 --> 00:33:58,960 Speaker 1: relevant UM innovation into our solutions for quite a while now, 555 00:33:59,560 --> 00:34:03,840 Speaker 1: UM and and we UH specifically around driver lists, forklifts 556 00:34:03,880 --> 00:34:09,800 Speaker 1: and picking assisted robotics. UM and we've doubled the number 557 00:34:09,920 --> 00:34:14,160 Speaker 1: of collaborative robots that we had um to last year 558 00:34:14,239 --> 00:34:16,960 Speaker 1: and expect to double that number again next year. So 559 00:34:17,080 --> 00:34:22,080 Speaker 1: technology is definitely coming automation. You're going to see e 560 00:34:22,160 --> 00:34:26,560 Speaker 1: commerce operations specifically because they are so labor intensive, really 561 00:34:26,600 --> 00:34:31,600 Speaker 1: start to implement some of that emerging technology. Page DHL 562 00:34:31,640 --> 00:34:34,319 Speaker 1: is a global company. Give us a sense of where 563 00:34:34,320 --> 00:34:38,960 Speaker 1: you're seeing, maybe some the most challenging area of the 564 00:34:38,960 --> 00:34:40,960 Speaker 1: globe from a supply chain and maybe some of the 565 00:34:41,320 --> 00:34:46,160 Speaker 1: maybe some regions that are doing better. Oh. Um, I 566 00:34:46,200 --> 00:34:50,400 Speaker 1: would say it is across the board challenging. I don't 567 00:34:50,440 --> 00:34:56,719 Speaker 1: know that there is a place where it is particularly easy. UM. 568 00:34:56,840 --> 00:35:01,319 Speaker 1: I'd say in North America because I think have had 569 00:35:02,000 --> 00:35:07,520 Speaker 1: UM not as necessarily as much impact from COVID restrictions, 570 00:35:07,680 --> 00:35:11,680 Speaker 1: We've probably seen a little bit of easier time than 571 00:35:11,719 --> 00:35:16,239 Speaker 1: we have in some other parts of the globe. UM. 572 00:35:16,280 --> 00:35:18,560 Speaker 1: Just to find a quick question from me, we've got 573 00:35:18,560 --> 00:35:21,399 Speaker 1: a couple of minutes left. When I talk to people 574 00:35:21,400 --> 00:35:24,000 Speaker 1: in the logistics industry, one of the biggest challenges they're 575 00:35:24,000 --> 00:35:27,799 Speaker 1: facing right now is is how to deal with returns 576 00:35:29,320 --> 00:35:33,640 Speaker 1: at a period when inventory is quite tight because of 577 00:35:33,680 --> 00:35:36,000 Speaker 1: what has been happening with the global supply chain story. 578 00:35:36,040 --> 00:35:38,480 Speaker 1: Managing your inventry when you get it is absolutely critical. 579 00:35:38,760 --> 00:35:40,680 Speaker 1: A lot of people buy stuff, they try it on, 580 00:35:40,760 --> 00:35:42,680 Speaker 1: they figure out what they want, they send some of 581 00:35:42,719 --> 00:35:46,920 Speaker 1: it back. How how much faster is that process now 582 00:35:46,920 --> 00:35:50,000 Speaker 1: and how critical is that part of the process in 583 00:35:50,120 --> 00:35:55,400 Speaker 1: terms of maintaining retailer's margins. Yeah, it is actually a 584 00:35:55,520 --> 00:35:58,200 Speaker 1: very important part of the project. You know, when merchants 585 00:35:58,239 --> 00:36:02,759 Speaker 1: are placing their orders, they are factoring in returns as 586 00:36:02,800 --> 00:36:05,960 Speaker 1: part of the inventory that would be available to sell, 587 00:36:06,360 --> 00:36:10,359 Speaker 1: and so we have seen increased focus on that. UM. 588 00:36:10,920 --> 00:36:15,320 Speaker 1: The interesting thing is through the COVID years, UM, people 589 00:36:15,360 --> 00:36:20,080 Speaker 1: were ordering much more comfortable clothing, and so we actually 590 00:36:20,120 --> 00:36:24,120 Speaker 1: saw return rates go down because the sizing which was 591 00:36:24,239 --> 00:36:27,920 Speaker 1: much more forgiving. UM. We are I mean, yeah, I know, 592 00:36:28,400 --> 00:36:31,279 Speaker 1: a lot of sweat pants and leggings. UM. We are 593 00:36:31,320 --> 00:36:34,120 Speaker 1: starting to see that turn around a little bit as 594 00:36:34,160 --> 00:36:37,320 Speaker 1: people are, you know, starting to order I think Denham 595 00:36:37,480 --> 00:36:41,600 Speaker 1: is having a new resurgence UM, starting to order more 596 00:36:41,760 --> 00:36:45,960 Speaker 1: typical types of clothing. Uh. And there is definitely a 597 00:36:46,120 --> 00:36:49,799 Speaker 1: focus on that UM as well as returns. As you know, 598 00:36:49,840 --> 00:36:53,680 Speaker 1: capacities continue to increase. Returns is one of those places 599 00:36:53,719 --> 00:36:56,279 Speaker 1: where you can be a little more innovative, maybe move 600 00:36:56,360 --> 00:36:58,920 Speaker 1: that off site, um, so that you can create more 601 00:36:58,960 --> 00:37:03,600 Speaker 1: capacity for your picking and shipping orders. Um. But you 602 00:37:03,640 --> 00:37:06,440 Speaker 1: still have to be able to then get those returns 603 00:37:06,440 --> 00:37:09,040 Speaker 1: back into inventory very quickly. All right, Page, thank you 604 00:37:09,080 --> 00:37:11,600 Speaker 1: so much for joining us. Really appreciate getting your perspective 605 00:37:11,640 --> 00:37:14,280 Speaker 1: on this busy day. Gotta be one of the busiest 606 00:37:14,360 --> 00:37:17,080 Speaker 1: days of the year for folks of the likes of 607 00:37:17,160 --> 00:37:19,880 Speaker 1: d h L, So Page van Foston, we appreciate the time. 608 00:37:19,960 --> 00:37:22,880 Speaker 1: She's a vice president of e commerce Operations at d 609 00:37:23,280 --> 00:37:29,160 Speaker 1: h L. Supply lots of red on the screen here, 610 00:37:29,160 --> 00:37:32,319 Speaker 1: And as Charlie was just discussing, is this a fair 611 00:37:32,400 --> 00:37:36,440 Speaker 1: response to an additional unknown in this marketplaces? And uh 612 00:37:36,640 --> 00:37:39,480 Speaker 1: too much or is it not enough? Here? As this 613 00:37:39,560 --> 00:37:43,279 Speaker 1: market tries to dissect and discount some new information in 614 00:37:43,280 --> 00:37:45,680 Speaker 1: the marketplace, let's check in with a professional who does 615 00:37:45,680 --> 00:37:48,160 Speaker 1: this for a living. David Deed's managing principle and senior 616 00:37:48,200 --> 00:37:51,640 Speaker 1: portfolio strategist at Gloodstone Bank. David, thanks so much for 617 00:37:51,719 --> 00:37:54,320 Speaker 1: joining us. You've got lots of perspective in this market. 618 00:37:54,680 --> 00:37:58,760 Speaker 1: When we saw the trading today, what did you take away? Well, 619 00:37:58,840 --> 00:38:01,960 Speaker 1: certainly it was a very panicky response, and I think 620 00:38:02,000 --> 00:38:04,880 Speaker 1: the key thing is, first of all, you know, people 621 00:38:04,880 --> 00:38:08,560 Speaker 1: who trade stocks for a living are not epidemiologists. So 622 00:38:08,640 --> 00:38:12,719 Speaker 1: the concern, of course, is this new mutation. Who is 623 00:38:12,760 --> 00:38:15,760 Speaker 1: now calling it a micron coming out of South Africa. 624 00:38:16,200 --> 00:38:18,879 Speaker 1: You know, it could be terrible, it might not be, 625 00:38:19,120 --> 00:38:23,800 Speaker 1: but Wall Street professionals are not trained to immediately assess 626 00:38:23,920 --> 00:38:27,480 Speaker 1: what the risk is, and therefore the default is perhaps 627 00:38:27,680 --> 00:38:30,480 Speaker 1: moved some tips to the sidelines. It is not helped 628 00:38:30,480 --> 00:38:33,080 Speaker 1: by the fact that a lot of people are at 629 00:38:33,120 --> 00:38:36,319 Speaker 1: home in this holiday shortened trading week, and particularly some 630 00:38:36,360 --> 00:38:38,680 Speaker 1: of the senior executives, and so there's probably a lot 631 00:38:38,719 --> 00:38:41,480 Speaker 1: of stop losses. They were triggered, and people just want 632 00:38:41,520 --> 00:38:43,360 Speaker 1: to take a deep breath and enjoy the weekend and 633 00:38:43,400 --> 00:38:47,239 Speaker 1: figure it out on Monday. What happens on Monday is 634 00:38:47,320 --> 00:38:50,399 Speaker 1: now the key question. We have seen volatility spoke really 635 00:38:50,480 --> 00:38:53,640 Speaker 1: quite considerably. That sort of the reason maybe to manage 636 00:38:53,760 --> 00:38:56,040 Speaker 1: risk a little bit more carefully. Risk offices will be 637 00:38:56,040 --> 00:38:58,720 Speaker 1: tapping people on the shoulder just looking at the value 638 00:38:58,760 --> 00:39:01,839 Speaker 1: at risk, and so well, volatility is up here. You 639 00:39:01,880 --> 00:39:04,680 Speaker 1: need to rethink exactly what your positioning looks like. But 640 00:39:04,760 --> 00:39:08,439 Speaker 1: the instinct time and time again is to buy the dip. 641 00:39:08,840 --> 00:39:13,200 Speaker 1: Do you think that instinct will prove correct again? Well, certainly, 642 00:39:13,520 --> 00:39:16,840 Speaker 1: all eyes are gonna be on the people, the scientists 643 00:39:16,880 --> 00:39:20,319 Speaker 1: at Fiser and Maderna and indeed J and J. They're 644 00:39:20,320 --> 00:39:22,879 Speaker 1: gonna be working feverously this weekend to try and get 645 00:39:22,960 --> 00:39:26,719 Speaker 1: an early assessment. Is this something that the existing vaccines 646 00:39:26,800 --> 00:39:29,359 Speaker 1: can handle or will take tweaking and this? So how 647 00:39:29,360 --> 00:39:31,200 Speaker 1: long is that going to take the other thing, I 648 00:39:31,239 --> 00:39:33,200 Speaker 1: think people are gonna be watching for what are the 649 00:39:33,239 --> 00:39:39,600 Speaker 1: government's responses. So for example, um UH Israel and um Belgium, 650 00:39:39,760 --> 00:39:42,640 Speaker 1: and I think Hong Kong now have prohibited people coming 651 00:39:42,680 --> 00:39:46,400 Speaker 1: in from South Africa neighboring countries. Do we do the 652 00:39:46,480 --> 00:39:49,360 Speaker 1: same thing on Monday morning and say people from Africa 653 00:39:49,400 --> 00:39:52,520 Speaker 1: are no longer welcome no matter what their vaccination status is. 654 00:39:52,640 --> 00:39:55,440 Speaker 1: So that's gonna be another key bit of information. Having 655 00:39:55,480 --> 00:39:59,760 Speaker 1: said all this, you did see some knee jerk selling 656 00:39:59,800 --> 00:40:01,759 Speaker 1: in so forth. I think people are going to be 657 00:40:01,800 --> 00:40:04,439 Speaker 1: doing a little bit of bargain hunting. You know, it's 658 00:40:04,520 --> 00:40:07,319 Speaker 1: just a few days ago. Everyone's worried about how high 659 00:40:07,440 --> 00:40:09,160 Speaker 1: is going to be high in terms of what the 660 00:40:09,200 --> 00:40:12,520 Speaker 1: Federal Reserve ultimately hikes rates two and when, um, how 661 00:40:12,560 --> 00:40:15,759 Speaker 1: bad will inflation be? Is that all off the table? Uh? 662 00:40:15,800 --> 00:40:18,480 Speaker 1: If so? Our interest rates seemed to be very very 663 00:40:18,520 --> 00:40:21,800 Speaker 1: low now below one point five and some for example, 664 00:40:21,840 --> 00:40:24,920 Speaker 1: financial institutions for sold because the strates that too low 665 00:40:24,960 --> 00:40:28,280 Speaker 1: for them to make money. How long can that last? So, David, 666 00:40:28,320 --> 00:40:30,920 Speaker 1: it's a lot of folks from the medical community and 667 00:40:31,600 --> 00:40:34,520 Speaker 1: elsewhere saying, you know, this might just be kind of 668 00:40:34,520 --> 00:40:39,120 Speaker 1: the new normal for the foreseeable future. That is, new 669 00:40:39,200 --> 00:40:41,600 Speaker 1: variants come along, and that's the nature of a virus. 670 00:40:41,640 --> 00:40:43,640 Speaker 1: You just kind of got to learn to live with it. 671 00:40:44,239 --> 00:40:47,799 Speaker 1: If that's in fact the case, where do you think 672 00:40:47,800 --> 00:40:51,080 Speaker 1: investors should be, you know, kind of intermediate to long 673 00:40:51,200 --> 00:40:55,000 Speaker 1: term given that level of given that backdrop, Well, I mean, 674 00:40:55,120 --> 00:40:58,520 Speaker 1: you know, we've had pandemics from time immorial um, We've 675 00:40:58,520 --> 00:41:01,200 Speaker 1: had variants and so forth. We just perhaps have gotten 676 00:41:01,200 --> 00:41:04,520 Speaker 1: finished with the delta one, so you know, and Marcus 677 00:41:04,560 --> 00:41:07,520 Speaker 1: has moved to new highs uh this month. So certainly 678 00:41:07,560 --> 00:41:10,200 Speaker 1: I think that with the vaccines on the market, with 679 00:41:10,320 --> 00:41:14,800 Speaker 1: the anti viral pills, um with um, you know, the 680 00:41:15,160 --> 00:41:18,840 Speaker 1: tools social distancing mass and so forth, this country and 681 00:41:18,880 --> 00:41:21,160 Speaker 1: certainly other countries around the world have learned how to 682 00:41:21,280 --> 00:41:24,680 Speaker 1: live with it, and so I think economic activity continues 683 00:41:24,680 --> 00:41:28,560 Speaker 1: to expand and get better. Just because we can't say 684 00:41:28,560 --> 00:41:31,000 Speaker 1: there will never be another variant or pandemic doesn't mean 685 00:41:31,000 --> 00:41:33,000 Speaker 1: you stop. So what does that mean in terms of 686 00:41:33,120 --> 00:41:35,239 Speaker 1: what the FED does next? The talk over the last 687 00:41:35,280 --> 00:41:38,320 Speaker 1: few days has been that we will see an accelerated taper. 688 00:41:38,840 --> 00:41:41,560 Speaker 1: Goldman Sachs was talking about that yesterday in the notes 689 00:41:42,040 --> 00:41:44,799 Speaker 1: with Jan Hatsias, talking about the fact that we could 690 00:41:44,800 --> 00:41:46,879 Speaker 1: see a doubling of the FED tape to around thirty 691 00:41:46,880 --> 00:41:51,640 Speaker 1: billion a month. Do you think that's still on I don't, 692 00:41:52,400 --> 00:41:55,520 Speaker 1: because the Fed is cautious. They lowered the interest rates 693 00:41:55,520 --> 00:41:58,120 Speaker 1: because in certainly of the pandemic. Now that uncertainty has 694 00:41:58,160 --> 00:42:01,200 Speaker 1: opened up again, there were there was noise in the 695 00:42:01,360 --> 00:42:06,520 Speaker 1: recent release Federal uh FM O see minutes about increasing 696 00:42:06,560 --> 00:42:09,040 Speaker 1: the taper UM. I think, and that might be announcement 697 00:42:09,080 --> 00:42:11,000 Speaker 1: de Scember. I think that's off the table. If you 698 00:42:11,040 --> 00:42:14,160 Speaker 1: also look at FED fund futures and so forth. A 699 00:42:14,239 --> 00:42:18,040 Speaker 1: possible first rate hike UM in June at one point 700 00:42:18,120 --> 00:42:20,920 Speaker 1: today was pushed off into two thousand twenty three. So 701 00:42:21,120 --> 00:42:23,600 Speaker 1: certainly this is going to cause a pause and a 702 00:42:23,680 --> 00:42:26,720 Speaker 1: rethinking by the Federal Reserve again. They're gonna be looking 703 00:42:26,760 --> 00:42:30,280 Speaker 1: at the listening to what the epidemiologists and the scientists 704 00:42:30,280 --> 00:42:32,680 Speaker 1: say as well. Right, all right, David Deeds, thank you 705 00:42:32,719 --> 00:42:35,040 Speaker 1: so much once again for joining us. David Deet's managing 706 00:42:35,080 --> 00:42:38,960 Speaker 1: principle and senior portfolio a strategist at Gladstone Bank, giving 707 00:42:39,000 --> 00:42:42,080 Speaker 1: us his thoughts on these markets after a crazy trading day. 708 00:42:44,000 --> 00:42:47,080 Speaker 1: Thanks for listening to the Bloomberg Markets podcast. You can 709 00:42:47,120 --> 00:42:50,920 Speaker 1: subscribe and listen to interviews with Apple Podcasts or whatever 710 00:42:51,000 --> 00:42:54,640 Speaker 1: podcast platform you prefer. I'm Matt Miller. I'm on Twitter 711 00:42:54,920 --> 00:42:58,720 Speaker 1: at Matt Miller three on Fall Sweeney, I'm on Twitter 712 00:42:58,800 --> 00:43:01,320 Speaker 1: at pt Sweeney before where the podcast. You can always 713 00:43:01,400 --> 00:43:03,920 Speaker 1: catch us worldwide at Bloomberg Radio. M