1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penel Podcast. I'm Paul swing you 2 00:00:05,360 --> 00:00:07,760 Speaker 1: along with my co host Lisa Brahmas. Each day we 3 00:00:07,880 --> 00:00:10,399 Speaker 1: bring you the most noteworthy and useful interviews for you 4 00:00:10,520 --> 00:00:12,600 Speaker 1: and your money. Whether at the grocery store or the 5 00:00:12,640 --> 00:00:15,960 Speaker 1: trading floor, find a Bloomberg Penl podcast on Apple podcast 6 00:00:16,120 --> 00:00:18,040 Speaker 1: or wherever you listen to podcasts, as well as at 7 00:00:18,040 --> 00:00:20,759 Speaker 1: Bloomberg dot com. Everyone seeming to have a race to 8 00:00:20,800 --> 00:00:23,120 Speaker 1: the bottom in the face of the coronavirus threat, which 9 00:00:23,200 --> 00:00:26,840 Speaker 1: raises a question is this going to support risk assets 10 00:00:26,960 --> 00:00:30,040 Speaker 1: or does it signal a shift downward in the global 11 00:00:30,080 --> 00:00:34,280 Speaker 1: economy that will ultimately be bearish for anything that relies 12 00:00:34,280 --> 00:00:36,800 Speaker 1: on growth. And joining us here as Carra Kadonna, chief 13 00:00:36,960 --> 00:00:40,280 Speaker 1: US economist for Bloomberg Economics, as well as Damian Sassaur, 14 00:00:40,640 --> 00:00:44,120 Speaker 1: chief Emerging markets credit strategist for a Bloomberg Intelligence Carl, 15 00:00:44,159 --> 00:00:46,160 Speaker 1: I want to start with you, what do you think 16 00:00:46,200 --> 00:00:48,760 Speaker 1: the Bank of Canada saying that the coronavirus represents a 17 00:00:48,800 --> 00:00:52,280 Speaker 1: material negative shock to the Canadian and global outlooks. I 18 00:00:52,280 --> 00:00:55,000 Speaker 1: would agree completely with that type of assessment. So we're 19 00:00:55,000 --> 00:00:58,279 Speaker 1: seeing a supply shock, and then the question is how 20 00:00:58,280 --> 00:01:00,400 Speaker 1: big is the demand shock that accompanies it. Then when 21 00:01:00,400 --> 00:01:03,160 Speaker 1: you see canceled the air fairs and conferences being canceled, 22 00:01:03,200 --> 00:01:06,000 Speaker 1: that's the tip of the iceberg of things of being restricted. 23 00:01:06,000 --> 00:01:10,640 Speaker 1: And then you know, as we get more tests conducted 24 00:01:10,640 --> 00:01:12,360 Speaker 1: here in the US and actually get a better handle 25 00:01:12,360 --> 00:01:14,480 Speaker 1: on what the case count is, UH, then you're going 26 00:01:14,480 --> 00:01:17,280 Speaker 1: to see knock on effects in terms of you know, 27 00:01:17,319 --> 00:01:20,520 Speaker 1: potential schools being closed and that sort of thing, and 28 00:01:20,800 --> 00:01:23,880 Speaker 1: social distancing and quarantines will have a negative impact on 29 00:01:23,920 --> 00:01:27,400 Speaker 1: the economy. So the FED knows that it's medicine takes 30 00:01:27,400 --> 00:01:29,920 Speaker 1: a while to kick in, and so it's jumping out 31 00:01:29,959 --> 00:01:32,679 Speaker 1: there and acting now so that hopefully some of the 32 00:01:32,720 --> 00:01:35,480 Speaker 1: medicine will be flowing by the time we start to 33 00:01:35,480 --> 00:01:38,520 Speaker 1: see more severe impacts. Is a medicine enough damien to 34 00:01:38,959 --> 00:01:42,080 Speaker 1: UH to prompt people to go into emerging markets? Is 35 00:01:42,080 --> 00:01:45,000 Speaker 1: that where they should go now? So basically I would 36 00:01:45,040 --> 00:01:47,720 Speaker 1: say no. I mean, cal makes a great point where 37 00:01:47,760 --> 00:01:51,000 Speaker 1: we're talking about this is supply disruption, but in emerging markets, 38 00:01:51,040 --> 00:01:52,320 Speaker 1: we have to look at it and reverse. We have 39 00:01:52,360 --> 00:01:55,080 Speaker 1: to say, what does the supply disruption mean on demand 40 00:01:55,120 --> 00:01:58,600 Speaker 1: for U S dollars? What's a payment disruption? Look like right, 41 00:01:58,640 --> 00:02:01,840 Speaker 1: And so you know they of Apple, Apple basically is 42 00:02:01,880 --> 00:02:05,040 Speaker 1: now funding all of its key suppliers, most of which 43 00:02:05,040 --> 00:02:07,320 Speaker 1: are based in Southeast Asia, trying to help them through 44 00:02:07,360 --> 00:02:10,760 Speaker 1: the coronavirus and through this divide. Yeah. Um, eventually they're 45 00:02:10,760 --> 00:02:12,800 Speaker 1: going to run out of ammunition to continue helping them. 46 00:02:12,840 --> 00:02:14,560 Speaker 1: Then they go those those suppliers are gonna have to 47 00:02:14,639 --> 00:02:16,119 Speaker 1: turn in where they're gonna have to turn to local 48 00:02:16,160 --> 00:02:18,760 Speaker 1: banks and central banks, and then you start to see 49 00:02:18,760 --> 00:02:22,440 Speaker 1: stress and funding markets and that's becaust simply put, they 50 00:02:22,480 --> 00:02:26,760 Speaker 1: need dollars in order to pay their huge dollar debtloads 51 00:02:26,760 --> 00:02:29,520 Speaker 1: that they're basically incurring right now. And my concern is 52 00:02:29,560 --> 00:02:32,880 Speaker 1: that yesterday's FED cut was not one design to necessarily 53 00:02:32,919 --> 00:02:36,640 Speaker 1: stimulate the US economy. It was more designed to uh 54 00:02:36,840 --> 00:02:39,440 Speaker 1: respond to some of these bottlenecks and stresses that we're 55 00:02:39,440 --> 00:02:42,560 Speaker 1: seeing in the global financial market and that could manifest 56 00:02:42,639 --> 00:02:44,400 Speaker 1: itself in a lot of different ways and and J. 57 00:02:44,560 --> 00:02:48,040 Speaker 1: Powell was very clear about that during his press conference 58 00:02:48,160 --> 00:02:50,840 Speaker 1: that you know, they need to take preemptive action to 59 00:02:51,080 --> 00:02:54,160 Speaker 1: provide some buffers to the economy from financial stresses but 60 00:02:54,240 --> 00:02:57,640 Speaker 1: also from economic stresses and the very supply shock that 61 00:02:57,720 --> 00:03:00,600 Speaker 1: Damian describes for a m also becomes a demand shock. 62 00:03:00,680 --> 00:03:03,280 Speaker 1: If we look at the China p m I numbers 63 00:03:03,280 --> 00:03:05,760 Speaker 1: over the weekend and then some private numbers were released 64 00:03:05,760 --> 00:03:09,400 Speaker 1: after that, it showed a worse stoppage in the Chinese 65 00:03:09,480 --> 00:03:12,240 Speaker 1: economy than what we saw during the global financial crisis. 66 00:03:12,240 --> 00:03:17,280 Speaker 1: And so for Chilean's exporting copper and Australians exporting iron 67 00:03:17,360 --> 00:03:20,760 Speaker 1: ore and coal, UH, that shock becomes a real demand 68 00:03:20,760 --> 00:03:22,480 Speaker 1: shock they have to contend with, which is why we 69 00:03:22,560 --> 00:03:27,240 Speaker 1: saw Australia cutting rates earlier this week, Canada today, and 70 00:03:27,320 --> 00:03:29,639 Speaker 1: a couple other central banks piling in as well. The 71 00:03:29,919 --> 00:03:31,600 Speaker 1: one thing I'll just throw in here is a footnote. 72 00:03:31,960 --> 00:03:35,560 Speaker 1: The FED has a vast network of business contexts, both 73 00:03:35,560 --> 00:03:39,440 Speaker 1: financials and non financials, right so as they're assessing what's 74 00:03:39,480 --> 00:03:43,320 Speaker 1: happening at key economic shock events like a blizzard or 75 00:03:43,360 --> 00:03:46,480 Speaker 1: a hurricane or the current situation, they're talking to those 76 00:03:46,520 --> 00:03:49,440 Speaker 1: business contacts and getting a better sense of what's happening 77 00:03:49,440 --> 00:03:51,320 Speaker 1: on the ground. They're not waiting for it to show 78 00:03:51,360 --> 00:03:54,040 Speaker 1: up in the economic data. And I think contacting those 79 00:03:54,080 --> 00:03:58,240 Speaker 1: business businesses UH in the various districts led them to 80 00:03:58,280 --> 00:04:00,960 Speaker 1: a conclusion that this is a real shock that has 81 00:04:01,000 --> 00:04:02,680 Speaker 1: to be contended with. I mean, when we have to 82 00:04:02,680 --> 00:04:05,920 Speaker 1: remember here is that post global financial crisis, Basil three 83 00:04:06,080 --> 00:04:09,600 Speaker 1: was designed with the premise that it's really financial, non 84 00:04:09,720 --> 00:04:12,440 Speaker 1: operating deposits that are slippery, that can come and go 85 00:04:12,560 --> 00:04:15,360 Speaker 1: as they please. This is not that this is a 86 00:04:15,520 --> 00:04:18,960 Speaker 1: hit on operating deposits at banks, which if you look 87 00:04:19,000 --> 00:04:21,200 Speaker 1: at your high quality liquid as the portfolios and your 88 00:04:21,320 --> 00:04:23,479 Speaker 1: LCR ratios. I'm not going to go into the What 89 00:04:23,560 --> 00:04:26,080 Speaker 1: it means is that this is not something that Basil 90 00:04:26,160 --> 00:04:28,880 Speaker 1: three was designed to prevent. So despite you have these 91 00:04:28,880 --> 00:04:31,200 Speaker 1: swap lines in with central banks and all this other stuff, 92 00:04:31,440 --> 00:04:35,279 Speaker 1: it's really gonna weigh on bank reserves if this persists 93 00:04:35,279 --> 00:04:37,479 Speaker 1: for that much long. Okay, so let's take a step back, 94 00:04:37,560 --> 00:04:40,640 Speaker 1: because what we're really talking about is how much are 95 00:04:40,640 --> 00:04:45,279 Speaker 1: we seeing financial market stress in addition to potential economic 96 00:04:45,360 --> 00:04:48,000 Speaker 1: stress to come. And I think that that's been very 97 00:04:48,080 --> 00:04:51,119 Speaker 1: unclear to people who are watching the market saying, look, 98 00:04:51,560 --> 00:04:54,440 Speaker 1: this is a potential economic shock, but the banks are 99 00:04:54,520 --> 00:04:57,039 Speaker 1: in good shape. Damian, are you saying that's not true. 100 00:04:57,360 --> 00:04:59,960 Speaker 1: I'm saying that the banks are in good shape. I'm 101 00:05:00,040 --> 00:05:02,320 Speaker 1: just saying that a lot of the buffers that have 102 00:05:02,360 --> 00:05:04,800 Speaker 1: been put into place, we're not really ready to contend 103 00:05:04,839 --> 00:05:07,919 Speaker 1: with something like this, a real supply disruption on the 104 00:05:07,960 --> 00:05:10,080 Speaker 1: operating level. And so, you know, you just look at 105 00:05:10,080 --> 00:05:12,040 Speaker 1: Governor Karrel's recent speech, you know where he was talking 106 00:05:12,080 --> 00:05:14,599 Speaker 1: about opening up the discount window. I mean kind of 107 00:05:14,640 --> 00:05:16,360 Speaker 1: pre essent in the world we're living in right now. 108 00:05:16,400 --> 00:05:18,520 Speaker 1: And then you take in conjunction with that, Carl, you know, 109 00:05:18,720 --> 00:05:21,280 Speaker 1: just the fact that you know there is the market 110 00:05:21,320 --> 00:05:24,279 Speaker 1: now you see library spreads privately, you know, you just 111 00:05:24,320 --> 00:05:25,880 Speaker 1: see that the markets are starting to price in the 112 00:05:25,880 --> 00:05:28,279 Speaker 1: promise of quant easing could come. Well, but this raises 113 00:05:28,279 --> 00:05:32,039 Speaker 1: a question about the Fed's impact here. And people think 114 00:05:32,040 --> 00:05:35,719 Speaker 1: of it as mostly able to stimulate through the financial system, 115 00:05:35,760 --> 00:05:38,840 Speaker 1: through the banking system. What can the effect be on 116 00:05:38,920 --> 00:05:41,720 Speaker 1: the real economy? How can we start to look for 117 00:05:41,800 --> 00:05:44,240 Speaker 1: the medicine being felt to the real economy. Sure, well, 118 00:05:44,240 --> 00:05:48,160 Speaker 1: there's important psychological impacts from this, Right, So when we 119 00:05:48,400 --> 00:05:52,080 Speaker 1: look at the financial market shock, the wealth effect, which 120 00:05:52,360 --> 00:05:55,080 Speaker 1: which is true for both households and corporates of a 121 00:05:56,120 --> 00:05:59,320 Speaker 1: decline in the SMP. Right, we can compare this to 122 00:06:00,320 --> 00:06:03,400 Speaker 1: very recent history. In in Q four, we had a 123 00:06:04,120 --> 00:06:07,119 Speaker 1: correction in the smp UH and there was a very 124 00:06:07,560 --> 00:06:12,000 Speaker 1: visible negative consequence for consumer spending in the following couple 125 00:06:12,000 --> 00:06:15,040 Speaker 1: of quarters. In the same thing for business investment trends. Right, 126 00:06:15,080 --> 00:06:17,400 Speaker 1: if you're a business in your stock is getting pummeled, 127 00:06:17,880 --> 00:06:20,880 Speaker 1: You're you're probably gonna hesitate before you take some aggressive 128 00:06:21,320 --> 00:06:23,440 Speaker 1: investment measures and go out on a limb on new 129 00:06:23,440 --> 00:06:26,400 Speaker 1: projects and whatnot. So the Fed stepping in to lower 130 00:06:26,520 --> 00:06:31,400 Speaker 1: rates reduces your financing cost. Also, it helps to stifle 131 00:06:31,520 --> 00:06:34,160 Speaker 1: that risk off trade because it's a lot less appealing 132 00:06:34,560 --> 00:06:37,839 Speaker 1: to park money into uh you know something uh R 133 00:06:38,240 --> 00:06:40,800 Speaker 1: rating a return close to Fed funds now compared to 134 00:06:41,040 --> 00:06:43,919 Speaker 1: two days ago. And we're gonna be hearing from St. 135 00:06:43,960 --> 00:06:47,680 Speaker 1: Louis FED President James Bullard coming up in just about 136 00:06:47,800 --> 00:06:51,800 Speaker 1: five minutes here with Kathleen Hayes of Bloomberg Television, who 137 00:06:51,839 --> 00:06:55,279 Speaker 1: will be will be broadcasting that live. What are you 138 00:06:55,360 --> 00:06:58,719 Speaker 1: hoping to hear from Jim Bullard, Damien Well? I would 139 00:06:58,800 --> 00:07:00,520 Speaker 1: like to hear a little bit more about what was 140 00:07:00,600 --> 00:07:02,080 Speaker 1: the reason. I mean we didn't get much from share 141 00:07:02,080 --> 00:07:04,560 Speaker 1: Powell yesterday. I mean he was very tight lipped. I'd 142 00:07:04,560 --> 00:07:06,800 Speaker 1: like to see a little bit more um color as 143 00:07:06,839 --> 00:07:08,440 Speaker 1: to you know, what was this, what was the real 144 00:07:08,480 --> 00:07:11,120 Speaker 1: intention here? I think, you know, we heard moral hazard, 145 00:07:11,160 --> 00:07:14,240 Speaker 1: those words ballied about yesterday time and time again. How 146 00:07:14,320 --> 00:07:17,000 Speaker 1: you know, what does the FED know that we don't know? Right? 147 00:07:17,080 --> 00:07:19,440 Speaker 1: And so I think a lot of those questions are 148 00:07:19,520 --> 00:07:22,040 Speaker 1: very real, and like you said, the psychological impact of 149 00:07:22,120 --> 00:07:25,080 Speaker 1: that can be devastating if the FED is intended, and 150 00:07:25,160 --> 00:07:27,560 Speaker 1: given the Fed's designed to keep you know, uh, you know, 151 00:07:27,640 --> 00:07:32,320 Speaker 1: inflation low and employment full. Carl Well, I'm looking to 152 00:07:32,360 --> 00:07:35,560 Speaker 1: hear from Jim Bullard how he would expect to proceed 153 00:07:35,640 --> 00:07:37,840 Speaker 1: from here. So we've seen a fifty basis point cut. 154 00:07:38,480 --> 00:07:40,280 Speaker 1: I think that we're going to see more. So my 155 00:07:40,320 --> 00:07:43,160 Speaker 1: team is looking for two more five basis point cuts 156 00:07:43,200 --> 00:07:47,040 Speaker 1: at the actual meetings. Not not emergency moves, but certainly 157 00:07:47,080 --> 00:07:49,960 Speaker 1: if the narrative starts to get away from uh, you know, 158 00:07:50,080 --> 00:07:53,920 Speaker 1: uh reality or from a rational expectations here, then the 159 00:07:53,920 --> 00:07:57,120 Speaker 1: FED would have to be aggressive once again. So just 160 00:07:57,360 --> 00:08:01,040 Speaker 1: kind of hearing what he thinks is the appropriate response 161 00:08:01,080 --> 00:08:04,320 Speaker 1: from policy makers more broadly, not just monitoring policy makers. 162 00:08:04,520 --> 00:08:06,800 Speaker 1: No one, including the FED has the illusion here that 163 00:08:06,880 --> 00:08:08,400 Speaker 1: this is a problem that can be fixed by the 164 00:08:08,440 --> 00:08:12,400 Speaker 1: FED alone. So sorry, just one last thing. Don't refinance 165 00:08:12,440 --> 00:08:15,400 Speaker 1: your homelans just yecause rates are going lower. Damian Sasaur 166 00:08:15,560 --> 00:08:19,800 Speaker 1: with a prediction. Damien Sassaur of Bloomberg Intelligence, car Kadada 167 00:08:19,840 --> 00:08:22,560 Speaker 1: of Bloomberg Economics, thank you both so much for being 168 00:08:22,600 --> 00:08:31,760 Speaker 1: with us. How significant is the disruption from coronavirus fears? 169 00:08:31,800 --> 00:08:33,760 Speaker 1: This has been one of the big questions that people 170 00:08:33,760 --> 00:08:36,200 Speaker 1: are trying to grapple with and price in the markets 171 00:08:36,520 --> 00:08:39,520 Speaker 1: as we game out a scenario in which there could 172 00:08:39,520 --> 00:08:43,240 Speaker 1: be some sort of downturn recession, not recession, temporary V 173 00:08:43,360 --> 00:08:46,520 Speaker 1: shaped you shape. Joining us here is Shelley Banjo, Asia 174 00:08:46,559 --> 00:08:50,280 Speaker 1: tech reporter for Bloomberg. Had been living in Hong Kong 175 00:08:51,080 --> 00:08:53,880 Speaker 1: right now. Where are you living? We're camped out in 176 00:08:53,920 --> 00:08:56,960 Speaker 1: our parents and my parents house in Dallas, Texas. Okay, 177 00:08:56,960 --> 00:08:59,360 Speaker 1: So can you give us a sense before you decided 178 00:08:59,400 --> 00:09:02,360 Speaker 1: to leave of what it was like in Hong Kong 179 00:09:02,920 --> 00:09:06,839 Speaker 1: as the fear of coronavirus swirled in sure. So, Hong Kong, 180 00:09:06,960 --> 00:09:09,440 Speaker 1: I think is a really interesting case because if you 181 00:09:09,559 --> 00:09:12,640 Speaker 1: look at it right now, the cases are actually quite 182 00:09:12,679 --> 00:09:16,760 Speaker 1: lower percentage wise compared to China UM and so it 183 00:09:16,840 --> 00:09:19,480 Speaker 1: seems like a lot of these draconian measures are working, 184 00:09:19,600 --> 00:09:23,199 Speaker 1: and yet it's not. It's not the greatest place to 185 00:09:23,320 --> 00:09:25,600 Speaker 1: want to be right now. So a few weeks ago 186 00:09:26,080 --> 00:09:29,280 Speaker 1: we uh Bloomberg shut down their offices as as well 187 00:09:29,320 --> 00:09:33,400 Speaker 1: as many other businesses. Schools were closed. Um, and we 188 00:09:33,440 --> 00:09:35,720 Speaker 1: have an eighteen month old child, and so we decided, 189 00:09:35,840 --> 00:09:39,160 Speaker 1: you know what, it's very difficult to be in a 190 00:09:39,200 --> 00:09:43,239 Speaker 1: tiny apartment with a young child when playgrounds and playrooms 191 00:09:43,240 --> 00:09:45,880 Speaker 1: and things like that are closed. So we decided to um, 192 00:09:46,040 --> 00:09:48,520 Speaker 1: go to Dallas and stay with my parents for a 193 00:09:48,559 --> 00:09:50,960 Speaker 1: little while. Okay, And can you give us a sense 194 00:09:51,000 --> 00:09:54,600 Speaker 1: before that of just sort of the fear factor. Are 195 00:09:54,640 --> 00:09:57,720 Speaker 1: people staying inside? I mean it sounds like restaurants where 196 00:09:57,720 --> 00:10:00,640 Speaker 1: they open. Was everything just sort of closed? Yeah, at 197 00:10:00,640 --> 00:10:03,720 Speaker 1: the time, there were a fair amount of grocery stores 198 00:10:03,760 --> 00:10:08,200 Speaker 1: and um and restaurants that were open. But it was 199 00:10:08,280 --> 00:10:10,520 Speaker 1: right around then we started seeing people do runs on 200 00:10:10,600 --> 00:10:13,080 Speaker 1: toilet paper. That was like a really big thing in 201 00:10:13,120 --> 00:10:15,880 Speaker 1: Hong Kong. People started a rumor that there wasn't gonna 202 00:10:15,880 --> 00:10:18,400 Speaker 1: be enough toilet paper, and then everybody rushed. Um. You'd 203 00:10:18,400 --> 00:10:22,000 Speaker 1: see lines outside of the pharmacies every single morning as 204 00:10:22,000 --> 00:10:23,920 Speaker 1: soon as they opened up, and got a new shipment 205 00:10:24,120 --> 00:10:29,000 Speaker 1: in for hand sanitizer masks and things like. Okay, so 206 00:10:29,080 --> 00:10:31,760 Speaker 1: looking forward, can we get a sense of how quickly 207 00:10:31,800 --> 00:10:34,240 Speaker 1: things have come back online and how much of a 208 00:10:34,280 --> 00:10:37,800 Speaker 1: template this is for what we can expect potentially here 209 00:10:37,880 --> 00:10:40,520 Speaker 1: if it continues to spread. Well, schools are still closed 210 00:10:40,520 --> 00:10:42,640 Speaker 1: and a lot of businesses are still closed. Some of 211 00:10:42,679 --> 00:10:46,959 Speaker 1: the businesses have kept open throughout this entire thing. Um, 212 00:10:47,160 --> 00:10:50,760 Speaker 1: grocery stores are still being stocked. Um, you know, people 213 00:10:50,800 --> 00:10:53,280 Speaker 1: can now get toilet paper again. So people are happy 214 00:10:53,320 --> 00:10:57,600 Speaker 1: about that. Life goals now, But what about when it 215 00:10:57,679 --> 00:11:00,719 Speaker 1: comes to technology production? What it you know, that was 216 00:11:00,760 --> 00:11:03,319 Speaker 1: one of the big questions with manufacturing and supply chains. 217 00:11:03,559 --> 00:11:06,720 Speaker 1: So it's a completely different story. In mainland China, where 218 00:11:06,800 --> 00:11:09,560 Speaker 1: most of the production is, the lot of the supply 219 00:11:09,640 --> 00:11:14,080 Speaker 1: chains have started slowly opening up again, uh slowly, uh 220 00:11:14,360 --> 00:11:17,640 Speaker 1: you know, slowly adding production workers, but they're nowhere near 221 00:11:18,240 --> 00:11:22,080 Speaker 1: uh act capacity or um you know, bringing their workers 222 00:11:22,200 --> 00:11:25,760 Speaker 1: over and um they've reopen factories, but then they need 223 00:11:25,760 --> 00:11:28,199 Speaker 1: to quarantine their workers for a few weeks to make 224 00:11:28,200 --> 00:11:31,880 Speaker 1: sure that as they travel to wherever the factory is 225 00:11:31,920 --> 00:11:36,320 Speaker 1: from their hometowns, that they haven't contracted the virus, so 226 00:11:36,679 --> 00:11:42,200 Speaker 1: factory production is still you know, um not you know normal. 227 00:11:42,600 --> 00:11:45,840 Speaker 1: So there's been a lot of criticism around the Chinese 228 00:11:45,880 --> 00:11:50,959 Speaker 1: response to the coronavirus, lack of transparency, numbers changing. How 229 00:11:51,000 --> 00:11:55,280 Speaker 1: does the response from the Trump administration compare? Well, I 230 00:11:55,320 --> 00:11:58,600 Speaker 1: think that the Trump administration had a fair a bit 231 00:11:58,880 --> 00:12:01,920 Speaker 1: of more time to kind of decide what their response 232 00:12:02,040 --> 00:12:05,120 Speaker 1: was going to be. Uh So, you know, I think 233 00:12:05,200 --> 00:12:09,000 Speaker 1: that it is something important to take to take seriously. 234 00:12:09,120 --> 00:12:10,480 Speaker 1: You know, you get a lot of questions like is 235 00:12:10,520 --> 00:12:12,800 Speaker 1: this panic? Are people panicked? But you know what, this 236 00:12:12,880 --> 00:12:16,320 Speaker 1: is a really important thing to take seriously, and so 237 00:12:16,440 --> 00:12:19,160 Speaker 1: I don't think it's a panic at all all right, 238 00:12:19,240 --> 00:12:22,560 Speaker 1: and going forward, just based on how quickly things are 239 00:12:22,600 --> 00:12:25,680 Speaker 1: sort of getting back to normal within Hong Kong, does 240 00:12:25,679 --> 00:12:29,080 Speaker 1: it give you optimism a sense that things can come 241 00:12:29,120 --> 00:12:31,360 Speaker 1: back online pretty quickly, or does it give you a 242 00:12:31,400 --> 00:12:35,679 Speaker 1: sense of sort of a little bit of an ominous 243 00:12:36,200 --> 00:12:38,520 Speaker 1: sense going forward? I think Hong Kong is still in 244 00:12:38,559 --> 00:12:40,560 Speaker 1: a holding pattern. I don't think things are starting to 245 00:12:40,600 --> 00:12:45,320 Speaker 1: come back online yet. And so until uh, schools um open, 246 00:12:45,880 --> 00:12:48,840 Speaker 1: businesses won't open, and until businesses won't open, you know, 247 00:12:48,840 --> 00:12:53,240 Speaker 1: everybody's kind of working from home and productivity does slow. Um. 248 00:12:53,360 --> 00:12:56,200 Speaker 1: And so I think the uncertainty has driven a lot 249 00:12:56,240 --> 00:12:59,040 Speaker 1: of people out of Hong Kong altogether, and so it 250 00:12:59,080 --> 00:13:02,120 Speaker 1: has a big pet population in Hong Kong. I think 251 00:13:02,120 --> 00:13:04,480 Speaker 1: a lot of those people are gone and aren't going 252 00:13:04,559 --> 00:13:08,040 Speaker 1: to come back. Um. So we're going back. Um, we're 253 00:13:08,080 --> 00:13:10,920 Speaker 1: planning on going back right now. UM, so we'll see 254 00:13:10,960 --> 00:13:14,160 Speaker 1: any sense when. I don't know yet when. And what 255 00:13:14,200 --> 00:13:17,040 Speaker 1: about your ex pet friends. Uh, A lot of people 256 00:13:17,080 --> 00:13:19,160 Speaker 1: I know left and are not coming back. And they're 257 00:13:19,200 --> 00:13:21,400 Speaker 1: not coming back just because they think that this uncertainty 258 00:13:21,440 --> 00:13:24,120 Speaker 1: is going to happen again. Yeah, And Hong Kong has 259 00:13:24,120 --> 00:13:27,000 Speaker 1: a special uh circumstance of dealing with the protest for 260 00:13:27,040 --> 00:13:30,760 Speaker 1: the last six months before that, and so the economy 261 00:13:30,880 --> 00:13:34,960 Speaker 1: has really is in a recession. And h it's hard 262 00:13:35,040 --> 00:13:38,000 Speaker 1: to see mainland Chinese tourists coming back. It's hard to 263 00:13:38,040 --> 00:13:42,640 Speaker 1: see um, you know, tourism just generally coming back. And uh, 264 00:13:42,679 --> 00:13:45,560 Speaker 1: you know people who are living there, uh, you know 265 00:13:45,640 --> 00:13:48,200 Speaker 1: want to be there, and you know they but if 266 00:13:48,280 --> 00:13:51,160 Speaker 1: businesses closed and shut down, then people are not gonna 267 00:13:51,160 --> 00:13:52,439 Speaker 1: have jobs and they're not going to be able to 268 00:13:52,480 --> 00:13:55,240 Speaker 1: go out and spend and it's hard to see how 269 00:13:55,480 --> 00:13:58,679 Speaker 1: Hong Kong's economy comes back in the short term. Well, 270 00:13:58,679 --> 00:14:00,800 Speaker 1: Shelley Banto, it is great to see you in person, 271 00:14:01,559 --> 00:14:06,080 Speaker 1: however unfortunate under the circumstances. Shelley Banjo, Asia tech reporter 272 00:14:06,240 --> 00:14:09,439 Speaker 1: for Bloomberg News, normally based in Hong Kong, here in 273 00:14:09,480 --> 00:14:26,920 Speaker 1: New York City with US super Tuesday was quite a 274 00:14:27,000 --> 00:14:30,560 Speaker 1: day for Joe Biden with some decisive wins, particularly in 275 00:14:30,600 --> 00:14:35,720 Speaker 1: South Carolina, becoming the candidate for Bernie Sanders to beat. 276 00:14:35,960 --> 00:14:40,520 Speaker 1: Just crossing the terminal, UH, Michael Bloomberg, majority owner and 277 00:14:40,600 --> 00:14:45,520 Speaker 1: founder of Bloomberg LP was dropping his presidential or suspending, 278 00:14:45,560 --> 00:14:50,480 Speaker 1: i should say, his presidential candidate campaign and endorsing Joe Biden. 279 00:14:50,640 --> 00:14:55,640 Speaker 1: And this comes after Clobachar and Pete Puttag dropped out 280 00:14:55,720 --> 00:14:59,520 Speaker 1: and also went behind Joe Biden. They're also are reports 281 00:15:00,000 --> 00:15:04,000 Speaker 1: that Elizabeth Warren, Senator is reassessing her campaign, so it 282 00:15:04,040 --> 00:15:07,320 Speaker 1: appears that the field is getting narrowed down to Bernie 283 00:15:07,400 --> 00:15:10,920 Speaker 1: Sanders and Joe Biden. I want to bring in Rick Davis, 284 00:15:10,920 --> 00:15:14,520 Speaker 1: partner at Stone Court Capital of Bloomberg Politics contributor UH 285 00:15:14,520 --> 00:15:17,800 Speaker 1: and someone with incredible experience of both when it comes 286 00:15:17,880 --> 00:15:21,640 Speaker 1: to politics, and when it comes to Joe Biden. Rick, 287 00:15:21,920 --> 00:15:25,840 Speaker 1: what I'm curious from your perspective, how important is it 288 00:15:25,880 --> 00:15:28,760 Speaker 1: that there is a narrowing down of the field at 289 00:15:28,760 --> 00:15:32,400 Speaker 1: this point. Oh, I think thank you Lisa for first 290 00:15:32,440 --> 00:15:34,680 Speaker 1: of all for having me, and uh, I think it's 291 00:15:34,680 --> 00:15:37,440 Speaker 1: critically important. I mean, one of the lessons we've learned 292 00:15:37,480 --> 00:15:41,440 Speaker 1: recently in two thousand and sixteen is when various elements 293 00:15:41,440 --> 00:15:44,200 Speaker 1: of the party, in this case the Republican Party, divide 294 00:15:44,560 --> 00:15:48,080 Speaker 1: their vote amongst multiple candidates, it allows, you know, what 295 00:15:48,240 --> 00:15:50,680 Speaker 1: was at one point in time a French paniate, Donald Trump, 296 00:15:50,760 --> 00:15:54,080 Speaker 1: to be able to win not only a group of primaries, 297 00:15:54,080 --> 00:15:57,880 Speaker 1: but the actual nomination without ever going above And so 298 00:15:58,840 --> 00:16:02,600 Speaker 1: I think the Democrats partly have allowed the winnowing process 299 00:16:02,640 --> 00:16:05,120 Speaker 1: to occur. I mean, that's why we go to Iowa, 300 00:16:05,160 --> 00:16:07,320 Speaker 1: New Hampshire. It's not for the weather this time year. 301 00:16:07,880 --> 00:16:10,880 Speaker 1: And uh. And you you see the natural progression of 302 00:16:10,920 --> 00:16:14,840 Speaker 1: events and the egos have been put aside and uh, 303 00:16:14,840 --> 00:16:17,640 Speaker 1: and you can tell the Democrats are united in one 304 00:16:17,720 --> 00:16:21,280 Speaker 1: thing primarily that is the defeat of Donald Trump. And 305 00:16:21,320 --> 00:16:24,400 Speaker 1: that is what's motivating people like Mike Bloomberg to suspend 306 00:16:24,440 --> 00:16:27,680 Speaker 1: his campaign to rally the troops around Joe Biden on 307 00:16:27,720 --> 00:16:31,360 Speaker 1: the part as you mentioned of Amy Klobuchar and Pete Bout. 308 00:16:31,800 --> 00:16:33,840 Speaker 1: I mean, these are all things that had a major 309 00:16:33,920 --> 00:16:38,080 Speaker 1: impact leading up to Super Tuesday and will after Super Tuesday. 310 00:16:38,120 --> 00:16:40,840 Speaker 1: I think it's it's fair to say that this is 311 00:16:40,880 --> 00:16:47,240 Speaker 1: now a very simple campaign against two people, um, Joe Biden, 312 00:16:47,320 --> 00:16:50,920 Speaker 1: who represents the center and the establishment of the Democratic Party, 313 00:16:51,040 --> 00:16:54,440 Speaker 1: and Bernie Sanders, who wants a revolution, and and voters 314 00:16:54,440 --> 00:16:56,640 Speaker 1: are going to get to decide that. And believe me, 315 00:16:56,800 --> 00:16:59,440 Speaker 1: that is a fair choice, right. I mean, they're there, 316 00:16:59,480 --> 00:17:01,920 Speaker 1: they got play is chuse from there? Well, Rick, as 317 00:17:01,960 --> 00:17:05,760 Speaker 1: a former Republican strategist, former manager of Senator John McCain's 318 00:17:05,840 --> 00:17:12,040 Speaker 1: campaign for president, I'm wondering, how worried you here, Republicans 319 00:17:12,080 --> 00:17:15,639 Speaker 1: being from here, how worried President Trump should be about 320 00:17:15,640 --> 00:17:19,560 Speaker 1: the momentum that these two candidates are getting this early 321 00:17:19,720 --> 00:17:24,520 Speaker 1: in the race or not. Well, if I were Donald 322 00:17:24,520 --> 00:17:27,560 Speaker 1: Trump and his campaign, I would be very worried about 323 00:17:27,560 --> 00:17:30,080 Speaker 1: a couple of things I saw last night on Super Tuesday, 324 00:17:30,119 --> 00:17:34,080 Speaker 1: and one of them, principally is the gravitational pull that 325 00:17:34,200 --> 00:17:38,520 Speaker 1: Joe Biden has with white suburban voters, especially women. UM. 326 00:17:38,600 --> 00:17:40,880 Speaker 1: We know that these are the same voters that helped 327 00:17:40,920 --> 00:17:44,720 Speaker 1: Donald Trump win an election against Hillary Clinton and UH, 328 00:17:44,720 --> 00:17:47,520 Speaker 1: and we know that they abandoned the Republican Party at 329 00:17:47,600 --> 00:17:50,520 Speaker 1: large UH in two thousand eighteen in the mid terms. 330 00:17:50,600 --> 00:17:53,040 Speaker 1: You could chalk that up to parties in power had 331 00:17:53,080 --> 00:17:57,520 Speaker 1: bad mid terms. UM, but the fact that they rallied 332 00:17:57,560 --> 00:18:01,240 Speaker 1: around Biden's campaign and states like Tech, this in Minnesota 333 00:18:01,960 --> 00:18:05,920 Speaker 1: and throughout the South, and and really on a national basis, 334 00:18:06,280 --> 00:18:10,399 Speaker 1: um propelling his victory in states that he had really 335 00:18:10,440 --> 00:18:14,879 Speaker 1: no business to be winning from from just a tactical perspective, UM, 336 00:18:15,000 --> 00:18:18,119 Speaker 1: that ought to give the Republicans and Donald Trump some 337 00:18:18,200 --> 00:18:21,840 Speaker 1: pause that they're not doing a job of pulling those 338 00:18:21,960 --> 00:18:24,880 Speaker 1: those those suburban women back into their fold. And they 339 00:18:24,920 --> 00:18:29,240 Speaker 1: seem excited about Joe Biden. Just looking forward, Bernie Sanders 340 00:18:29,280 --> 00:18:31,560 Speaker 1: still very much in the race. So it's Bernie Sanders 341 00:18:31,600 --> 00:18:35,359 Speaker 1: and Joe Biden. How concerned are you about a contested 342 00:18:36,080 --> 00:18:41,960 Speaker 1: contested nomination or contested h yeah, convention? Yeah, less so 343 00:18:42,080 --> 00:18:44,720 Speaker 1: now right, I mean one of the things that you 344 00:18:44,760 --> 00:18:48,160 Speaker 1: had to watch on Super Tuesdays, whether or not candidates 345 00:18:48,200 --> 00:18:53,120 Speaker 1: like Mike Bloomberg, Elizabeth Warren could um could accumulate enough 346 00:18:53,200 --> 00:18:56,200 Speaker 1: delegates to want to be power players at a convention. 347 00:18:56,640 --> 00:19:00,040 Speaker 1: In other words, you know, the group at large to 348 00:19:00,080 --> 00:19:02,720 Speaker 1: accumulate enough delegates to keep Bernie at least you know, 349 00:19:02,760 --> 00:19:06,520 Speaker 1: that was conventionalism, right how you stopped Bernie um Um 350 00:19:06,920 --> 00:19:10,680 Speaker 1: yesterday before Super Tuesday and and they didn't write, I mean, 351 00:19:11,280 --> 00:19:17,680 Speaker 1: they did not score enough victories or accumulate enough delegates 352 00:19:18,160 --> 00:19:20,840 Speaker 1: on Super Tuesday to be a factor right to where 353 00:19:20,880 --> 00:19:23,760 Speaker 1: they could actually stop someone from getting the magic number 354 00:19:26,040 --> 00:19:29,360 Speaker 1: delegates before the convention. And so it is much more 355 00:19:29,440 --> 00:19:31,640 Speaker 1: likely in a two person race that you now look 356 00:19:31,720 --> 00:19:34,920 Speaker 1: like you have that one of them is going to prevail. 357 00:19:35,200 --> 00:19:37,680 Speaker 1: And uh, but I would say, right now, it's too 358 00:19:37,680 --> 00:19:39,760 Speaker 1: soon to tell who that's gonna be. Rick is real 359 00:19:39,840 --> 00:19:43,320 Speaker 1: quick here, I'm wondering what type of candidate Joe is 360 00:19:43,359 --> 00:19:46,680 Speaker 1: likely to pick for a vice president. Could it be uh, 361 00:19:46,800 --> 00:19:51,040 Speaker 1: someone on the left on at Sanders and Warren type side, 362 00:19:51,280 --> 00:19:53,240 Speaker 1: or is he going to stick to his his guns 363 00:19:53,240 --> 00:19:56,840 Speaker 1: and sort of stay centrist. You know, I think a 364 00:19:56,880 --> 00:19:58,679 Speaker 1: lot of that's going to determine what the state of 365 00:19:58,680 --> 00:20:02,000 Speaker 1: the race is this summer. Right, the Democrats have an 366 00:20:02,000 --> 00:20:05,400 Speaker 1: early convention at the end of July. UH, that's when 367 00:20:05,440 --> 00:20:07,760 Speaker 1: they will be forced to have to make a decision 368 00:20:07,880 --> 00:20:10,480 Speaker 1: on who the vice presidential running mate will be. And 369 00:20:10,560 --> 00:20:14,679 Speaker 1: they will look at what they need to score a victory, 370 00:20:14,840 --> 00:20:17,600 Speaker 1: because that'll be the number one thing, is how do 371 00:20:17,680 --> 00:20:20,800 Speaker 1: we actually win? And then they will want someone paired 372 00:20:20,880 --> 00:20:24,000 Speaker 1: up with them, with Joe Biden if he's a nominee, 373 00:20:24,480 --> 00:20:29,520 Speaker 1: to help him govern. When Joe Biden was selected, UH, 374 00:20:29,720 --> 00:20:32,840 Speaker 1: the running mate of Barack Obama, Barack Obama had a 375 00:20:32,920 --> 00:20:36,040 Speaker 1: fifteen point lead over John McCain. Believe me, I remember 376 00:20:36,080 --> 00:20:39,119 Speaker 1: I was running that campaign, and and he had the 377 00:20:39,240 --> 00:20:41,920 Speaker 1: luxury of knowing that it's highly likely that he was 378 00:20:41,960 --> 00:20:44,520 Speaker 1: going to win. So he wanted to pick someone he 379 00:20:44,640 --> 00:20:47,680 Speaker 1: got along with, you know, that was friendly, that would 380 00:20:47,800 --> 00:20:51,520 Speaker 1: uh complement his skill set, and Joe Biden was that guy. 381 00:20:51,600 --> 00:20:55,639 Speaker 1: Joe Biden never added a single vote to the Obama campaign, 382 00:20:55,720 --> 00:20:58,720 Speaker 1: but he was a great governing partner. That's gonna be 383 00:20:58,720 --> 00:21:02,520 Speaker 1: interesting to see if that's the option forward. Rick Davis, Unfortunately, 384 00:21:02,520 --> 00:21:03,960 Speaker 1: you've got to leave it there. Thank you so much 385 00:21:03,960 --> 00:21:06,080 Speaker 1: for taking the time. Rick Davis, partner at Stone Court 386 00:21:06,119 --> 00:21:09,280 Speaker 1: Capital as well as former Republican strategist and former manager 387 00:21:09,320 --> 00:21:12,840 Speaker 1: of Senator John McCain's presidential campaign. Thanks for listening to 388 00:21:12,840 --> 00:21:15,200 Speaker 1: the Bloomberg P and L podcast. You can subscribe and 389 00:21:15,280 --> 00:21:18,440 Speaker 1: listen to interviews at Apple Podcasts or whatever podcast platform 390 00:21:18,480 --> 00:21:21,560 Speaker 1: you prefer. I'm Paul Sweeney, I'm on Twitter at pt Sweeney. 391 00:21:21,600 --> 00:21:24,200 Speaker 1: I'm Lisa abram Woyds. I'm on Twitter at Lisa bramwo 392 00:21:24,160 --> 00:21:26,679 Speaker 1: wits one. Before the podcast, you can always catch us 393 00:21:26,800 --> 00:21:28,399 Speaker 1: worldwide on'm Bloomberg Radio