1 00:00:01,400 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,120 --> 00:00:06,200 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,360 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Find the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple podcast or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:20,759 Speaker 1: and on Bloomberg dot com. I want to point out 7 00:00:20,760 --> 00:00:24,160 Speaker 1: that stocks are higher, they are spiking just a little 8 00:00:24,200 --> 00:00:26,920 Speaker 1: bit because we have word that President Trump has approved 9 00:00:26,960 --> 00:00:31,000 Speaker 1: a revised stimulus package. This is coming from Larry Cuddler, 10 00:00:31,000 --> 00:00:34,800 Speaker 1: who's speaking on Fox Business right now again. President Trump 11 00:00:34,880 --> 00:00:39,560 Speaker 1: has approved a revised stimulus package. He spoke with Mark Meadows, 12 00:00:39,560 --> 00:00:41,800 Speaker 1: the chief of staff on the Treasury Secretary, Steve Manuchien. 13 00:00:42,040 --> 00:00:44,080 Speaker 1: Of course, we all know that he is just one 14 00:00:44,240 --> 00:00:47,159 Speaker 1: of the people involved in all of this. Right, the 15 00:00:47,159 --> 00:00:50,600 Speaker 1: Democrats also have to sign on to anything, and obviously 16 00:00:50,600 --> 00:00:53,400 Speaker 1: the Republicans have to sign on, although presumably they would. 17 00:00:53,680 --> 00:00:55,880 Speaker 1: We don't know what's in this revised Tomla's package. We'll 18 00:00:55,920 --> 00:00:59,280 Speaker 1: see how much comes out, but it does signal a 19 00:00:59,280 --> 00:01:01,760 Speaker 1: willingness for President tomp to do a U turn on 20 00:01:01,840 --> 00:01:05,760 Speaker 1: that idea that he was completely shutting down all stimulus 21 00:01:05,760 --> 00:01:09,160 Speaker 1: package conversations A look a bit more of that in 22 00:01:09,200 --> 00:01:11,679 Speaker 1: a moment, But while we are wait more details, let's 23 00:01:11,680 --> 00:01:16,200 Speaker 1: bring in Eric maltunas senior et F analyst for Bloomberg Intelligence. Eric, 24 00:01:16,240 --> 00:01:18,760 Speaker 1: obviously this is changing the narrative for the day, but 25 00:01:18,920 --> 00:01:21,160 Speaker 1: do talk to us about everything that's happened this week 26 00:01:21,200 --> 00:01:25,440 Speaker 1: in terms of Morgan Stanley buying Eating Vance and also 27 00:01:25,600 --> 00:01:29,160 Speaker 1: you know, Vanguard returning assets to China's state funds. There's 28 00:01:29,160 --> 00:01:32,160 Speaker 1: a lot going on in the t F space. Yeah. No, 29 00:01:32,319 --> 00:01:35,960 Speaker 1: this is giant asset managers doing big things, starting with 30 00:01:35,959 --> 00:01:38,240 Speaker 1: the Morgan Stanley. Um. This was a little bit of 31 00:01:38,280 --> 00:01:41,399 Speaker 1: a shock apparently Eating Vance went to Morgan Stanley, which 32 00:01:41,440 --> 00:01:44,400 Speaker 1: I don't blame them. If I'm running legacy mutual fund 33 00:01:44,560 --> 00:01:47,440 Speaker 1: shop and I don't really have a strong et s 34 00:01:47,480 --> 00:01:50,560 Speaker 1: game or passive game, I would look to go to 35 00:01:51,080 --> 00:01:53,720 Speaker 1: merge with people get really big. That way, you have 36 00:01:53,800 --> 00:01:56,680 Speaker 1: scale and you can lower fees and maybe compete more 37 00:01:56,720 --> 00:02:00,400 Speaker 1: aggressively get some extra distributions. So it makes sense that bistically, 38 00:02:00,760 --> 00:02:03,240 Speaker 1: I do think that what Morgan Stanley was after with 39 00:02:03,280 --> 00:02:06,480 Speaker 1: eat Advance was direct indexing, which is sort of like 40 00:02:06,560 --> 00:02:10,560 Speaker 1: separately managed accounts that are for advisors. We think that 41 00:02:11,040 --> 00:02:14,639 Speaker 1: demand is overstated. If you look, direct indexing maybe took 42 00:02:14,680 --> 00:02:17,880 Speaker 1: in three four or five billion this year. ETS have 43 00:02:17,960 --> 00:02:21,399 Speaker 1: taken in about three and fifty. So you know, it's 44 00:02:21,440 --> 00:02:24,040 Speaker 1: going to be tough for Morgan Stanley to compete against 45 00:02:24,080 --> 00:02:28,520 Speaker 1: ets and traditional index funds with these ventures. But for now, 46 00:02:28,600 --> 00:02:31,000 Speaker 1: it's I think a smart move by them because the 47 00:02:31,000 --> 00:02:33,600 Speaker 1: bigger you get than it's easier to lower the fees, 48 00:02:34,040 --> 00:02:35,839 Speaker 1: and that is really the name of the game. And 49 00:02:36,200 --> 00:02:38,680 Speaker 1: where a lot of the flows are going is funds 50 00:02:38,680 --> 00:02:41,600 Speaker 1: that are on the cheaper side. So that's the Morgan 51 00:02:41,680 --> 00:02:45,360 Speaker 1: Stanley situation. So pretty good, but I think they'll struggle 52 00:02:45,400 --> 00:02:48,040 Speaker 1: long term. But without that E t F solution. So 53 00:02:48,360 --> 00:02:50,800 Speaker 1: you know, what is E t F solution for a 54 00:02:50,840 --> 00:02:54,840 Speaker 1: big shop like a Morgan Stanley, d A BYDA build. 55 00:02:54,960 --> 00:02:58,440 Speaker 1: How do you really increase your share there? Here's what 56 00:02:58,480 --> 00:03:01,960 Speaker 1: everybody's doing. They're basically buying the end customer. And so 57 00:03:02,040 --> 00:03:04,639 Speaker 1: if you Morgan Stam has a bunch of advisors, if 58 00:03:04,680 --> 00:03:09,000 Speaker 1: you have access in distribution we call captive audience, then 59 00:03:09,360 --> 00:03:12,440 Speaker 1: you can pretty much give you have some control over 60 00:03:12,480 --> 00:03:15,519 Speaker 1: what you give them. The question is even that captive audience. 61 00:03:15,600 --> 00:03:17,200 Speaker 1: I just don't I don't know if they're going to 62 00:03:17,280 --> 00:03:20,040 Speaker 1: want a Calvert mutual fund. A Calvert e s G 63 00:03:20,240 --> 00:03:23,040 Speaker 1: mutual fund charges you know, let's say seventy to eight 64 00:03:23,160 --> 00:03:25,840 Speaker 1: basis points. You can get a Vanguard e s G 65 00:03:26,040 --> 00:03:28,960 Speaker 1: E T S or black Rock one for ten to fifteen. 66 00:03:29,520 --> 00:03:32,200 Speaker 1: And so the e t S is just so much cheaper. 67 00:03:32,320 --> 00:03:35,960 Speaker 1: It's liquid there, it's tax efficient. So it's difficult even 68 00:03:35,960 --> 00:03:38,480 Speaker 1: with the captive audience to do that. But a lot 69 00:03:38,520 --> 00:03:42,360 Speaker 1: of the issuers, Goldman, Vanguard, Swab, what they're doing is 70 00:03:42,400 --> 00:03:44,960 Speaker 1: they have e t s and they can use their 71 00:03:45,000 --> 00:03:47,800 Speaker 1: captive audience get some assets and flows, and then that 72 00:03:48,360 --> 00:03:50,680 Speaker 1: brings people outside of the captive audience to those e 73 00:03:50,760 --> 00:03:53,480 Speaker 1: t s. So that's the new name of the game 74 00:03:53,520 --> 00:03:55,600 Speaker 1: is it's have some investors lined up, launch y e 75 00:03:55,600 --> 00:03:57,440 Speaker 1: t f s, get assets in there, and try to 76 00:03:57,480 --> 00:04:00,680 Speaker 1: attract retail investors outside of that. Morgan Stanley appears to 77 00:04:00,720 --> 00:04:02,240 Speaker 1: be doing something like that. They're just gonna try to 78 00:04:02,280 --> 00:04:04,720 Speaker 1: use direct indexing and mutual funds to do it, and 79 00:04:04,720 --> 00:04:06,040 Speaker 1: I just think it will be harder without the e 80 00:04:06,120 --> 00:04:09,600 Speaker 1: t F. Yeah, it's so interesting how the landscape has 81 00:04:09,680 --> 00:04:12,440 Speaker 1: changing I mean, I guess it always needs to change. 82 00:04:13,360 --> 00:04:14,840 Speaker 1: We have a great story on the Bloomberg today. But 83 00:04:14,960 --> 00:04:17,520 Speaker 1: wealthy American families being told by their advisors they need 84 00:04:17,560 --> 00:04:20,640 Speaker 1: to act now or risk losing millions of dollars in 85 00:04:20,680 --> 00:04:23,400 Speaker 1: case Democrats win back the White House and Senate and 86 00:04:23,600 --> 00:04:27,800 Speaker 1: all of the loopholes that President Trump ushered in in 87 00:04:27,880 --> 00:04:32,039 Speaker 1: terms of state tax rules get reversed. How much does 88 00:04:32,080 --> 00:04:34,960 Speaker 1: this impact the E T F space? Eric, I mean, 89 00:04:35,040 --> 00:04:36,840 Speaker 1: are these people that sort of buy E T F? 90 00:04:37,040 --> 00:04:41,640 Speaker 1: Or is that not even in their sphere of vision? Um. So, 91 00:04:42,040 --> 00:04:45,080 Speaker 1: you know Obama before he left, he had tried to 92 00:04:45,120 --> 00:04:50,760 Speaker 1: put through the fiduciary rule. The Trunk dismantled that fiduciary 93 00:04:50,839 --> 00:04:54,119 Speaker 1: rule if Biden were to win and reinforce that, Um, 94 00:04:54,240 --> 00:04:56,080 Speaker 1: which we think is a pretty good rule, basically just 95 00:04:56,120 --> 00:04:59,600 Speaker 1: says if you're a wealth manager and you're advising clients, 96 00:04:59,640 --> 00:05:02,320 Speaker 1: you need to keep their best interests at heart. Um. 97 00:05:02,360 --> 00:05:04,799 Speaker 1: It's really sad they need a rule for that, but anyway, 98 00:05:04,920 --> 00:05:08,440 Speaker 1: they that's the rule. And so essentially that would mean 99 00:05:08,520 --> 00:05:12,279 Speaker 1: that the best interest would mean cheap and you possibly 100 00:05:12,360 --> 00:05:14,800 Speaker 1: could be sued or gailed at if you put somebody 101 00:05:14,839 --> 00:05:17,120 Speaker 1: in say a mutual fund because you've got to you know, 102 00:05:17,160 --> 00:05:19,880 Speaker 1: a commission on it or something. So the more that 103 00:05:20,040 --> 00:05:22,960 Speaker 1: fiduciary rule is in play, the better it would be 104 00:05:23,000 --> 00:05:25,479 Speaker 1: for E T F and passive. Now if they put 105 00:05:25,520 --> 00:05:30,120 Speaker 1: taxes on trading or capital gains, um, I don't know, 106 00:05:30,160 --> 00:05:32,360 Speaker 1: maybe that would hurt everybody at the same time, and 107 00:05:32,440 --> 00:05:34,520 Speaker 1: ets to be part of that. The other thing is 108 00:05:34,560 --> 00:05:37,880 Speaker 1: a Biden administration. Mike mcgloan was just writing, and I 109 00:05:37,880 --> 00:05:39,240 Speaker 1: agree with them. Could be better for a bit poin 110 00:05:39,279 --> 00:05:43,480 Speaker 1: ets to be launched. We think that that's ultimately positive 111 00:05:43,520 --> 00:05:48,400 Speaker 1: too so, but Biden, unlike Bernie, is pretty moderate, so 112 00:05:48,520 --> 00:05:51,040 Speaker 1: I don't see a ton changing. I just I think 113 00:05:51,040 --> 00:05:53,320 Speaker 1: that d O the d L rule. Otherwise it was 114 00:05:53,360 --> 00:05:55,920 Speaker 1: the fiduciary rule is probably the main thing to keep 115 00:05:55,960 --> 00:05:58,720 Speaker 1: your eye on if Biden wins. Hey, Erica saw a 116 00:05:58,760 --> 00:06:02,760 Speaker 1: story on the Bloomberg. Uh, Vanguard returning twenty one billion 117 00:06:02,760 --> 00:06:07,479 Speaker 1: dollars in assets to China's state funds. What's going on there? Yeah, 118 00:06:07,520 --> 00:06:11,200 Speaker 1: this is a unique Uh honestly didn't know they managed 119 00:06:11,240 --> 00:06:14,039 Speaker 1: that much for the Chinese government. Um. You know, when 120 00:06:14,040 --> 00:06:16,880 Speaker 1: we look at Vanguard, their international exposure is pretty weak 121 00:06:16,960 --> 00:06:20,080 Speaker 1: compared to other issuers like black Rock, because mostly in 122 00:06:20,080 --> 00:06:23,120 Speaker 1: other places there's a commission based system UM, and they 123 00:06:23,120 --> 00:06:26,120 Speaker 1: haven't moved to that fee based fiduciary system, which is 124 00:06:26,160 --> 00:06:29,920 Speaker 1: mostly happening in the US anyway. UM. For all intents 125 00:06:29,920 --> 00:06:32,600 Speaker 1: and purposes, what happened here is they're just giving back 126 00:06:32,640 --> 00:06:35,240 Speaker 1: a twenty one billion that they managed for institutions. That 127 00:06:35,360 --> 00:06:37,400 Speaker 1: is a tough business. Institutions wants you to do all 128 00:06:37,400 --> 00:06:40,440 Speaker 1: this work for like one basis point, and it's just 129 00:06:40,560 --> 00:06:42,960 Speaker 1: a lot of efforts. So they want to give that 130 00:06:43,000 --> 00:06:45,440 Speaker 1: back and put their focus on what I call the 131 00:06:45,480 --> 00:06:48,599 Speaker 1: holy grail, which is the retail investor in China. You know, 132 00:06:48,640 --> 00:06:51,440 Speaker 1: there's a billion people there. It's like three Americas. And 133 00:06:51,480 --> 00:06:54,120 Speaker 1: what they've done is teamed up with a financial and 134 00:06:54,160 --> 00:06:56,800 Speaker 1: a robo advisor, and they're hoping that they can do 135 00:06:56,880 --> 00:07:00,160 Speaker 1: what they did here over there, because that would the 136 00:07:00,240 --> 00:07:02,800 Speaker 1: robo advisors fee based right up their alley. So I 137 00:07:02,800 --> 00:07:07,240 Speaker 1: think they're just streamlining their focus away from institutions onto retail. Interesting. Eric, 138 00:07:07,240 --> 00:07:09,080 Speaker 1: thank you so much for joining us. We always loved 139 00:07:09,120 --> 00:07:12,360 Speaker 1: talking about the E T F business. Nobody better on 140 00:07:12,360 --> 00:07:14,560 Speaker 1: the street to do with an Eric Baltunus. He's been 141 00:07:14,560 --> 00:07:17,280 Speaker 1: doing the E t S since I think the beginning 142 00:07:17,760 --> 00:07:20,520 Speaker 1: of the E t F business for Bloomberg Intelligence, he's 143 00:07:20,520 --> 00:07:22,560 Speaker 1: a senior et F analysts and Fannie. It's it's just 144 00:07:22,640 --> 00:07:25,120 Speaker 1: interesting here as we think about the E t F business. 145 00:07:25,160 --> 00:07:29,280 Speaker 1: The feed differential is so key, and it's such an 146 00:07:29,320 --> 00:07:34,680 Speaker 1: attractive vehicle for retail investors. Yeah, for sure, and some 147 00:07:34,760 --> 00:07:36,240 Speaker 1: of them not last very long and some of them 148 00:07:36,280 --> 00:07:40,480 Speaker 1: are around forever. So definitely you know an area to 149 00:07:40,560 --> 00:07:43,560 Speaker 1: study if you're again getting involved in them. But Paul, 150 00:07:43,600 --> 00:07:46,560 Speaker 1: I just want to return to the stimulus headline. I mean, 151 00:07:46,560 --> 00:07:49,080 Speaker 1: this changes the dynamic going into the weekend once again. 152 00:07:49,240 --> 00:07:51,400 Speaker 1: If the President is willing for talks to go ahead, 153 00:07:51,600 --> 00:07:54,400 Speaker 1: does suddenly Nancy Pelosi become more willing to reach a 154 00:07:54,480 --> 00:07:57,120 Speaker 1: deal or was it was it fine that that we 155 00:07:57,120 --> 00:07:58,960 Speaker 1: weren't going to have a deal before the election for 156 00:07:59,080 --> 00:08:04,400 Speaker 1: the Dems. Will see, but stocks certainly moving higher. The 157 00:08:04,440 --> 00:08:08,120 Speaker 1: International Council of Shopping Center is this Holiday shopping Intentions 158 00:08:08,240 --> 00:08:12,080 Speaker 1: survey is out? It's hard to believe it's coming close. 159 00:08:12,120 --> 00:08:15,080 Speaker 1: We're already in the middle of October, and so let's 160 00:08:15,120 --> 00:08:19,120 Speaker 1: welcome Tommy, President and Chief Executive Officer of the I C. S. C. 161 00:08:19,560 --> 00:08:24,520 Speaker 1: And Tom. There's a lot unpacking here. You represented a 162 00:08:24,560 --> 00:08:27,520 Speaker 1: sample of one thousand and four US respondents, but your 163 00:08:27,560 --> 00:08:30,840 Speaker 1: members of number over seventy thousand. So before we get 164 00:08:30,840 --> 00:08:34,000 Speaker 1: to what seems to be rosier than you might expect, outlook, 165 00:08:34,320 --> 00:08:37,240 Speaker 1: talk to us about how your members are faring right now, 166 00:08:37,280 --> 00:08:41,800 Speaker 1: how many are open, how many are losing money? Well, 167 00:08:41,840 --> 00:08:44,240 Speaker 1: good morning, and thanks for having me on. You know, 168 00:08:44,320 --> 00:08:48,720 Speaker 1: I think we're in a very uncertain environment. Obviously, you 169 00:08:48,760 --> 00:08:53,040 Speaker 1: know the our industry is that the epicenter of the 170 00:08:53,040 --> 00:08:57,280 Speaker 1: pandemic and stay at home orders and other safety requirements, 171 00:08:57,280 --> 00:09:00,560 Speaker 1: and so I think it varies depending upon where you 172 00:09:00,559 --> 00:09:03,280 Speaker 1: are in the country, and obviously you know the nature 173 00:09:03,280 --> 00:09:08,000 Speaker 1: of retail um that you offer. But I think generally speaking, 174 00:09:08,000 --> 00:09:10,320 Speaker 1: our members have done a good job of managing through 175 00:09:10,559 --> 00:09:14,800 Speaker 1: a unprecedented period of time. We are looking forward to 176 00:09:14,840 --> 00:09:17,880 Speaker 1: the holiday season and expected to be I would say 177 00:09:17,920 --> 00:09:23,559 Speaker 1: solid for a variety of reasons, um most most significantly 178 00:09:23,640 --> 00:09:26,240 Speaker 1: because I think consumers spending over the course of this 179 00:09:26,360 --> 00:09:29,720 Speaker 1: past year has been less than you know, we would 180 00:09:29,800 --> 00:09:32,600 Speaker 1: have hoped for given the pandemic, and people will lean 181 00:09:32,679 --> 00:09:36,400 Speaker 1: in more significantly into the holiday as a result. So Tom, 182 00:09:36,440 --> 00:09:40,040 Speaker 1: just give us a sense, UM's kind of mall traffic. 183 00:09:40,120 --> 00:09:41,640 Speaker 1: I guess if you will. I'm not sure how you 184 00:09:41,640 --> 00:09:45,800 Speaker 1: guys really measure it. Small traffic this year, how how 185 00:09:46,040 --> 00:09:52,000 Speaker 1: down is it? Well? I think it clearly clearly traffic 186 00:09:52,000 --> 00:09:54,079 Speaker 1: will be down this year for obvious reasons. I mean 187 00:09:54,120 --> 00:09:58,160 Speaker 1: there's you know, obviously occupancy restrictions. I mean, clearly consumer 188 00:09:58,240 --> 00:10:01,840 Speaker 1: is concerned about safety and security. I think a lot 189 00:10:01,880 --> 00:10:04,600 Speaker 1: of the malls have done a lot obviously to try 190 00:10:04,640 --> 00:10:08,960 Speaker 1: to alleviate those concerns, everything from mass requirements to you know, 191 00:10:09,000 --> 00:10:12,080 Speaker 1: putting up one way aisles and contact barriers, and the 192 00:10:12,120 --> 00:10:15,440 Speaker 1: retailers as well. But you know, this holiday season, you know, 193 00:10:15,520 --> 00:10:18,079 Speaker 1: e commerce will continue to grow. I think the trends 194 00:10:18,080 --> 00:10:20,640 Speaker 1: that we've seen over the course of the pandemic will 195 00:10:20,679 --> 00:10:23,880 Speaker 1: continue to be front and center use of e commerce. 196 00:10:23,920 --> 00:10:27,880 Speaker 1: But those retailers that really merge their e commerce platforms 197 00:10:27,920 --> 00:10:32,400 Speaker 1: with their physical retail platforms will do the best. You 198 00:10:32,440 --> 00:10:35,600 Speaker 1: will see a continuation of things like curbside pick up 199 00:10:35,720 --> 00:10:39,400 Speaker 1: and click and collect, etcetera be front and center, um, 200 00:10:39,440 --> 00:10:44,000 Speaker 1: particularly during the holiday season, where there'll be significant you know, 201 00:10:44,080 --> 00:10:47,640 Speaker 1: there'll be significant tension in just the delivery system given 202 00:10:47,679 --> 00:10:49,880 Speaker 1: the you know, the volume that will take place, and 203 00:10:49,920 --> 00:10:53,280 Speaker 1: people will want the comfort of going and doing curbside 204 00:10:53,280 --> 00:10:55,959 Speaker 1: pick up to make sure that they have the goods 205 00:10:55,960 --> 00:10:58,880 Speaker 1: in place. I also think I would not you know, 206 00:10:58,920 --> 00:11:01,240 Speaker 1: I wouldn't read to my into this year as it 207 00:11:01,280 --> 00:11:04,640 Speaker 1: relates to a future trend. I mean, it's hard to 208 00:11:04,679 --> 00:11:07,520 Speaker 1: know how all of these things will impact, you know, 209 00:11:07,559 --> 00:11:10,720 Speaker 1: the long term nature the way people's shop in retail. 210 00:11:11,040 --> 00:11:14,200 Speaker 1: I do know right now, Um, you know, certainly the 211 00:11:14,200 --> 00:11:17,520 Speaker 1: consumer is going to put safety front and center, and 212 00:11:17,520 --> 00:11:19,800 Speaker 1: they're much more efficient in their shopping. I mean, they're 213 00:11:19,880 --> 00:11:21,960 Speaker 1: much more purposeful. If you go to a store, you're 214 00:11:22,360 --> 00:11:24,760 Speaker 1: much more likely to know exactly what you want to purchase, 215 00:11:24,840 --> 00:11:27,520 Speaker 1: you're gonna go purchase it, and you're gonna leave. And 216 00:11:27,520 --> 00:11:31,520 Speaker 1: and that's again back to safety and a focus upon that. So, Tom, 217 00:11:31,559 --> 00:11:36,560 Speaker 1: your outlook forecasts increased spending with a longer holiday shopping season, 218 00:11:36,640 --> 00:11:40,360 Speaker 1: hoping out in that regard, that's a rosy outlook. Does 219 00:11:40,400 --> 00:11:43,400 Speaker 1: it depend on stimulus And if we don't get stimulus, 220 00:11:43,520 --> 00:11:47,680 Speaker 1: will this forecast change entirely? Yeah? I think there's obviously 221 00:11:47,720 --> 00:11:49,920 Speaker 1: it's a very difficult year to make a forecast, and 222 00:11:50,000 --> 00:11:52,319 Speaker 1: so I think when we look at um at one 223 00:11:52,360 --> 00:11:57,000 Speaker 1: point percent spending increase, you know, it assumes that things 224 00:11:57,040 --> 00:12:00,320 Speaker 1: like stimulus would take place that it certainly is assumes 225 00:12:00,320 --> 00:12:04,640 Speaker 1: that the unemployment picture remains stable. Uh. And certainly you 226 00:12:04,679 --> 00:12:08,440 Speaker 1: know that we've managed the pandemic has managed effectively over 227 00:12:08,480 --> 00:12:11,040 Speaker 1: the course of the next number of months. If government 228 00:12:11,080 --> 00:12:13,480 Speaker 1: stimulus does not come through, which I think is critical 229 00:12:13,559 --> 00:12:15,960 Speaker 1: not just for our industry but for the overall economy, 230 00:12:16,040 --> 00:12:19,679 Speaker 1: to be perfectly honest with you, uh. And there's significant 231 00:12:19,679 --> 00:12:22,480 Speaker 1: spikes in the virus, obviously that's going to have a 232 00:12:22,559 --> 00:12:26,240 Speaker 1: negative impact upon our forecast. You know what's driving our forecast, 233 00:12:26,320 --> 00:12:29,480 Speaker 1: quite frankly, is if you look at people are spending 234 00:12:29,520 --> 00:12:32,360 Speaker 1: a lot less on things that they traditionally spent things 235 00:12:32,679 --> 00:12:35,120 Speaker 1: it's spent money on going out to eat, for example, 236 00:12:35,240 --> 00:12:38,720 Speaker 1: entertainment for example. And so that we believe that some 237 00:12:38,840 --> 00:12:41,040 Speaker 1: of that money that would have historically been spent in 238 00:12:41,080 --> 00:12:44,360 Speaker 1: those things will be contributed to holiday spending. And and 239 00:12:44,400 --> 00:12:48,360 Speaker 1: I think you know, family uh is highly important right now. 240 00:12:48,720 --> 00:12:53,600 Speaker 1: Uh And and parents with kids will likely invest in 241 00:12:53,720 --> 00:12:56,600 Speaker 1: the holiday to try to help kids that are obviously 242 00:12:56,600 --> 00:12:58,640 Speaker 1: going through a challenging period of time. As well through 243 00:12:58,640 --> 00:13:01,200 Speaker 1: the pandemic. Tom, just give us a sense here. We 244 00:13:01,280 --> 00:13:06,720 Speaker 1: hear that the US is still way overstored that shopping uh, 245 00:13:06,760 --> 00:13:10,160 Speaker 1: that these retailers need to cut their store count. How 246 00:13:10,200 --> 00:13:14,080 Speaker 1: do you view that? Yes, well, I think it's hard 247 00:13:14,120 --> 00:13:17,680 Speaker 1: to measure that right now, because you don't really you know, again, 248 00:13:17,760 --> 00:13:19,839 Speaker 1: we're in the midst of kind of an unprecedented period 249 00:13:19,840 --> 00:13:22,240 Speaker 1: of time. I think what I would generally say is 250 00:13:22,280 --> 00:13:26,240 Speaker 1: that those retailers that went into the pandemic in you know, 251 00:13:26,320 --> 00:13:30,760 Speaker 1: relatively stable shape with a strong balance sheet, are going 252 00:13:30,800 --> 00:13:34,600 Speaker 1: to emerge from the pandemic um you know, Okay, those 253 00:13:34,720 --> 00:13:38,760 Speaker 1: retailers that went into the pandemic where they were suffering 254 00:13:38,840 --> 00:13:42,120 Speaker 1: from a declining, declining revenue and did not have a 255 00:13:42,120 --> 00:13:45,839 Speaker 1: strong balance sheet. Obviously, we've seen the ramifications of it, 256 00:13:46,240 --> 00:13:48,560 Speaker 1: and we've seen you know, a lot of store closures. 257 00:13:48,840 --> 00:13:51,360 Speaker 1: It's hard for me to predict, you know, how what 258 00:13:51,480 --> 00:13:54,440 Speaker 1: the long term impact of that will be once we 259 00:13:54,480 --> 00:13:58,400 Speaker 1: emerge in the pandemic. I'm quite confident of of really 260 00:13:58,440 --> 00:14:01,040 Speaker 1: two things. One, I think, you know, the industry has 261 00:14:01,080 --> 00:14:02,880 Speaker 1: gone through lots of shocks in the past, and I 262 00:14:02,960 --> 00:14:06,719 Speaker 1: think like this, but it's going through lots of shops 263 00:14:06,880 --> 00:14:09,520 Speaker 1: and it will emerge from this. But and I think 264 00:14:09,520 --> 00:14:13,320 Speaker 1: retailers are very entrepreneur in data, and I think that 265 00:14:13,400 --> 00:14:17,000 Speaker 1: they will they will adapt as well. Hey, Tom, thanks 266 00:14:17,040 --> 00:14:19,240 Speaker 1: so much for joining us. We really appreciate your thoughts. 267 00:14:19,240 --> 00:14:22,640 Speaker 1: Tommy Gee, President, Chief Executive Officer of the International Council 268 00:14:23,040 --> 00:14:25,600 Speaker 1: of Shopping Centers, giving us his thoughts about the retail 269 00:14:25,680 --> 00:14:30,840 Speaker 1: holiday shopping season coming up. Well, President Donald Trump is 270 00:14:31,040 --> 00:14:34,400 Speaker 1: planning to get back on the campaign trout. The question 271 00:14:34,480 --> 00:14:36,760 Speaker 1: is is that wise for someone who has recently been 272 00:14:36,760 --> 00:14:39,680 Speaker 1: diagnosed with COVID nineteen UH. To get the answers to 273 00:14:39,720 --> 00:14:43,240 Speaker 1: that and other questions, we welcome Lauren Sour, Assistant Professor 274 00:14:43,280 --> 00:14:47,520 Speaker 1: of Emergency Medicine the John Hopps JOHNS. Hopkins School of Medicine, 275 00:14:47,520 --> 00:14:49,440 Speaker 1: and should note that the Bloomberg School of Public Health 276 00:14:49,840 --> 00:14:52,160 Speaker 1: is supported by Michael Bloomberg, founder of Bloomberg LP and 277 00:14:52,160 --> 00:14:55,960 Speaker 1: Bloomberg Philanthropies, as well as this radio and TV operation. 278 00:14:56,480 --> 00:14:59,080 Speaker 1: Dr Sour thanks so much for joining us here. So again, 279 00:14:59,120 --> 00:15:02,440 Speaker 1: President Trump is itching to get back on the campaign trail, 280 00:15:02,520 --> 00:15:07,280 Speaker 1: potentially having a rally. I guess tomorrow is that wise 281 00:15:07,600 --> 00:15:10,280 Speaker 1: for someone who again has recently been diagnosed with COVID 282 00:15:10,360 --> 00:15:15,200 Speaker 1: nineteen no, in fact that it actually violates the CDC 283 00:15:15,360 --> 00:15:18,240 Speaker 1: guidelines about self isolation. And I think a lot of 284 00:15:18,280 --> 00:15:23,120 Speaker 1: people saw the UM interview that he had with Sean 285 00:15:23,200 --> 00:15:26,560 Speaker 1: Hannity where he was coughing, and we've seen him, you know, 286 00:15:26,680 --> 00:15:31,320 Speaker 1: having these challenging breathing processes on video in both his 287 00:15:31,400 --> 00:15:35,040 Speaker 1: return from Walter Reid but also in more recent videos, 288 00:15:35,200 --> 00:15:37,800 Speaker 1: and anyone who sees that can see that he is 289 00:15:37,800 --> 00:15:42,160 Speaker 1: still experiencing symptoms of COVID nineteen and should definitely be 290 00:15:42,240 --> 00:15:46,720 Speaker 1: self isolating for a minimum of two weeks. Is there 291 00:15:46,760 --> 00:15:49,760 Speaker 1: a point beyond which from de severere and x metho 292 00:15:49,840 --> 00:15:55,600 Speaker 1: zone and whatever else he's taking stops becoming useful. All 293 00:15:55,640 --> 00:15:59,600 Speaker 1: of these drugs have different periods of utility and are 294 00:16:00,120 --> 00:16:02,960 Speaker 1: given it at different times, and it's important to remember 295 00:16:03,080 --> 00:16:06,160 Speaker 1: that they're all still experimental for the treatment of COVID 296 00:16:06,240 --> 00:16:09,200 Speaker 1: nineteen or or infection with stars covie too, so we 297 00:16:09,280 --> 00:16:14,000 Speaker 1: don't actually know the full breadth of um of how 298 00:16:14,040 --> 00:16:16,840 Speaker 1: and when the drugs are useful. I think rem Desiviere 299 00:16:16,880 --> 00:16:19,720 Speaker 1: we have a lot of information on this UM, you know, 300 00:16:19,800 --> 00:16:24,400 Speaker 1: ten five and tender course of of them, oftentimes administered 301 00:16:24,440 --> 00:16:28,080 Speaker 1: in the hospital. They're almost exclusively administered in the hospital 302 00:16:28,160 --> 00:16:30,720 Speaker 1: with regeneron we you know, you want to see in 303 00:16:30,760 --> 00:16:34,480 Speaker 1: these monocola antibodies, the patients being monitored, their auntibody levels 304 00:16:34,520 --> 00:16:38,480 Speaker 1: routinely being checked um and and honestly, we don't often 305 00:16:39,080 --> 00:16:42,680 Speaker 1: discharge people so quickly with steroids like the President was 306 00:16:42,800 --> 00:16:46,840 Speaker 1: with deem xizone and UM. So that is a is 307 00:16:46,840 --> 00:16:49,840 Speaker 1: a concerning sort of development in how that drug was 308 00:16:49,880 --> 00:16:55,640 Speaker 1: administered and then how he's monitored post administration. So, Professor, 309 00:16:55,920 --> 00:16:59,840 Speaker 1: this treatment how or is that something that you think 310 00:17:01,240 --> 00:17:03,600 Speaker 1: is going to be widely deployed for patients. I'm just 311 00:17:03,600 --> 00:17:07,080 Speaker 1: wondering how the President Trump's doctors kind of zeroed in 312 00:17:07,200 --> 00:17:11,439 Speaker 1: on that as potential treatment. Um and it appears at 313 00:17:11,520 --> 00:17:15,560 Speaker 1: least to be successful in the President's case. Yeah, I 314 00:17:15,600 --> 00:17:17,679 Speaker 1: think we can't really know if it was successful in 315 00:17:17,680 --> 00:17:20,119 Speaker 1: the President's case because we don't have a lot of 316 00:17:20,200 --> 00:17:24,200 Speaker 1: data in a nice, well designed clinical trial. And so, 317 00:17:24,560 --> 00:17:26,720 Speaker 1: you know, there's so many factors that go into the 318 00:17:26,760 --> 00:17:29,840 Speaker 1: President's medical care. He is getting the best of the 319 00:17:29,880 --> 00:17:32,560 Speaker 1: best medical care, and so one of the reasons we 320 00:17:32,640 --> 00:17:35,280 Speaker 1: use clinical trials is to weed out some of those 321 00:17:35,359 --> 00:17:39,320 Speaker 1: confounding factors. Um, you know, standard of care, the other 322 00:17:39,359 --> 00:17:42,920 Speaker 1: things he's been given, the supportive care, he got, the fluids, 323 00:17:43,000 --> 00:17:45,119 Speaker 1: all of those other things when he made it his 324 00:17:45,160 --> 00:17:49,760 Speaker 1: way into the hospital. So while it is probably UM, 325 00:17:49,800 --> 00:17:53,400 Speaker 1: you know, we'll probably learn a lot more about these UH, 326 00:17:53,560 --> 00:17:57,440 Speaker 1: these monoclonal antibodies soon as they go through this clinical 327 00:17:57,480 --> 00:18:02,080 Speaker 1: trial protocol. UM, we can't really stay explicitly. We can 328 00:18:02,080 --> 00:18:04,399 Speaker 1: guess that they helped, but we can't say explicitly that 329 00:18:04,480 --> 00:18:08,560 Speaker 1: they did. UM. We use monoclonal antibodies and monoclonal antibody 330 00:18:08,560 --> 00:18:12,920 Speaker 1: cocktails in many other situations and they are effective. UM, 331 00:18:12,960 --> 00:18:15,240 Speaker 1: and we know their utility, which is I'm sure why 332 00:18:15,280 --> 00:18:19,960 Speaker 1: we're general and many other UH pharmaceutical companies have gone 333 00:18:19,960 --> 00:18:23,199 Speaker 1: down the path of creating them for COVID nineteen. But 334 00:18:23,359 --> 00:18:26,359 Speaker 1: until we have that good clinical trial data, we just 335 00:18:26,440 --> 00:18:30,040 Speaker 1: can't make any generalizations from this one very specific, very 336 00:18:30,160 --> 00:18:34,480 Speaker 1: high level of care case. Yeah, doctors, our is physical 337 00:18:34,520 --> 00:18:38,000 Speaker 1: exertion detrimental beyond a certain point. So we know the 338 00:18:38,000 --> 00:18:40,440 Speaker 1: doctors recommend that you stay active and that you try 339 00:18:40,480 --> 00:18:43,479 Speaker 1: and keep all of your bodily functions as functioning as 340 00:18:43,520 --> 00:18:46,119 Speaker 1: possible during this it's not really helpful to rest in 341 00:18:46,119 --> 00:18:49,119 Speaker 1: fact of anything, It just gives the virus a better chance. 342 00:18:49,520 --> 00:18:52,439 Speaker 1: But beyond a certain point, you have to ask the question, 343 00:18:52,960 --> 00:18:55,520 Speaker 1: if the resident is getting better, is there a chance 344 00:18:55,520 --> 00:18:59,120 Speaker 1: that he'll relapse by exerting himself so much, going on rallies, 345 00:18:59,160 --> 00:19:02,800 Speaker 1: being on TV every nice and every morning. Yes, it's 346 00:19:02,800 --> 00:19:05,760 Speaker 1: absolutely a risk. And you know he's on dexim foflon 347 00:19:05,920 --> 00:19:08,720 Speaker 1: or was when he was discharged, And so steroids can 348 00:19:08,760 --> 00:19:11,800 Speaker 1: make you feel better in the moment a lot better 349 00:19:11,840 --> 00:19:14,119 Speaker 1: in the moment um, and so he does have the 350 00:19:14,160 --> 00:19:17,640 Speaker 1: potential to sort of overdo it um and overexert and 351 00:19:17,720 --> 00:19:22,000 Speaker 1: possibly cause challenges to his breathing and his recovery UM 352 00:19:22,040 --> 00:19:25,600 Speaker 1: and and potentially do more harm to himself. So you know, 353 00:19:25,880 --> 00:19:28,440 Speaker 1: I'm not a physician, so I am, and I'm not 354 00:19:28,520 --> 00:19:31,200 Speaker 1: on his clinical care team, but I will say that 355 00:19:31,240 --> 00:19:34,560 Speaker 1: there we have seen in our data, at least from Hopkins, 356 00:19:34,560 --> 00:19:36,960 Speaker 1: but also I think more broadly across the globe that 357 00:19:37,040 --> 00:19:41,080 Speaker 1: people do have these short term recoveries and then um 358 00:19:41,240 --> 00:19:43,639 Speaker 1: get a lot worse. So if you overdo it in 359 00:19:43,640 --> 00:19:46,800 Speaker 1: that short term recovery space, you have the potential to 360 00:19:46,840 --> 00:19:50,080 Speaker 1: get a lot worse um and and not recover as 361 00:19:50,119 --> 00:19:53,359 Speaker 1: as effectively as you did that first go around. So 362 00:19:53,520 --> 00:19:56,320 Speaker 1: just real quickly, dr um. I think President Trump is 363 00:19:56,359 --> 00:19:59,200 Speaker 1: going to get a medical exam on top of Carlson 364 00:19:59,280 --> 00:20:03,119 Speaker 1: tonight on by the Fox Doctor. What should we be 365 00:20:03,200 --> 00:20:07,680 Speaker 1: looking for there? You know, I'm honestly not sure there's 366 00:20:07,760 --> 00:20:10,800 Speaker 1: much to look for there. I think it's seems from 367 00:20:10,800 --> 00:20:14,159 Speaker 1: everything I've heard like it will be a publicity stunt. Um. 368 00:20:14,240 --> 00:20:17,359 Speaker 1: We have seen this doctor who is going to be 369 00:20:17,400 --> 00:20:24,240 Speaker 1: examining him push misinformation about hydroxychloric quin and about um, 370 00:20:24,280 --> 00:20:28,840 Speaker 1: the the risks associated with coronavirus and how it was 371 00:20:28,880 --> 00:20:32,640 Speaker 1: not much difference than the flu um. So I think 372 00:20:32,680 --> 00:20:34,720 Speaker 1: a lot of it is going to be a narrative 373 00:20:34,800 --> 00:20:38,879 Speaker 1: that the President potentially is pushing, and that you know, 374 00:20:38,920 --> 00:20:41,600 Speaker 1: the findings are not going to actually tell us much 375 00:20:41,640 --> 00:20:45,800 Speaker 1: about his medical status. There's medical care certainly, um. He 376 00:20:45,840 --> 00:20:48,760 Speaker 1: would not let anything go out that that says that 377 00:20:48,840 --> 00:20:51,920 Speaker 1: anything beyond the narrative that he's controlling about his recovery 378 00:20:52,000 --> 00:20:54,439 Speaker 1: and his wellness. So I think that we're going to 379 00:20:54,480 --> 00:20:57,840 Speaker 1: get very limited information about how well he is doing. 380 00:20:57,920 --> 00:21:00,119 Speaker 1: And in fact, I think he's creating a false that 381 00:21:00,680 --> 00:21:04,119 Speaker 1: he is not infectious and safe and healthy. Um that 382 00:21:04,320 --> 00:21:06,480 Speaker 1: how's the potential to do some detriment to the broader 383 00:21:06,560 --> 00:21:11,159 Speaker 1: understanding of how we manage UM post hospital discharge. It 384 00:21:11,400 --> 00:21:13,399 Speaker 1: would be funny, except a lot of people will be watching, 385 00:21:13,440 --> 00:21:15,440 Speaker 1: and so it's not at all funny. Dr Lawrence Ours, 386 00:21:15,480 --> 00:21:18,199 Speaker 1: thank you very much, show Assistant Professor Emergency Medicine at 387 00:21:18,240 --> 00:21:23,719 Speaker 1: Johns Hopkins. Well, we have some deal activity in the 388 00:21:23,800 --> 00:21:28,359 Speaker 1: chips business. A M. D In talks about arrival Zilenx 389 00:21:28,760 --> 00:21:32,280 Speaker 1: for thirty billion dollars. To break down the details, we 390 00:21:32,440 --> 00:21:36,600 Speaker 1: welcome On and Trinivaston's senior semiconductor and hardware analysts for 391 00:21:36,800 --> 00:21:40,840 Speaker 1: Bloomberg Intelligence. He is one of the top chip analysts 392 00:21:40,840 --> 00:21:42,960 Speaker 1: on the street and we appreciate getting some of his time. 393 00:21:43,000 --> 00:21:46,120 Speaker 1: So On and big number here, thirty billion dollar deal. 394 00:21:46,160 --> 00:21:49,240 Speaker 1: What do you make of it? Yeah, it's hey, Paul, 395 00:21:49,280 --> 00:21:51,760 Speaker 1: good morning, Thank you for having me. So this is 396 00:21:51,920 --> 00:21:54,640 Speaker 1: in our view of both an offensive as as well 397 00:21:54,680 --> 00:21:58,639 Speaker 1: as a defensive deal for MD. If you look at 398 00:21:58,720 --> 00:22:01,560 Speaker 1: what's happening in the computing space, I mean this have 399 00:22:01,760 --> 00:22:04,320 Speaker 1: used this ice cream shop analogy before, which is that 400 00:22:04,920 --> 00:22:08,720 Speaker 1: computing has been evolving from an ice cream shop that 401 00:22:08,800 --> 00:22:13,400 Speaker 1: contains mostly vanilla, strawberry and chocolate into a remarkably diverse 402 00:22:13,440 --> 00:22:16,439 Speaker 1: ice cream shop with multiple flavors. You have general purpose 403 00:22:16,520 --> 00:22:19,680 Speaker 1: GPUs that m Video make, you have fp t a 404 00:22:19,880 --> 00:22:22,800 Speaker 1: s that xy links and Alterra make, and all of 405 00:22:22,880 --> 00:22:27,400 Speaker 1: these ice cream buckets if you may have been expanding 406 00:22:27,440 --> 00:22:30,280 Speaker 1: inside and expanding in use because of the different kinds 407 00:22:30,320 --> 00:22:33,040 Speaker 1: of workloads who've been seeing, which in turn is being 408 00:22:33,119 --> 00:22:37,280 Speaker 1: driven by the clouds. So Intel has this wide library 409 00:22:37,320 --> 00:22:40,520 Speaker 1: of assets um and, but they haven't been able to 410 00:22:40,680 --> 00:22:43,840 Speaker 1: put it together. So simply put, their ice cream machine 411 00:22:43,880 --> 00:22:46,920 Speaker 1: is broken. What is in video doing? In Video has 412 00:22:46,960 --> 00:22:49,760 Speaker 1: been able to put together specialty ice cream buckets in 413 00:22:49,840 --> 00:22:53,439 Speaker 1: terms of melanox and in terms of general purpose GPUs 414 00:22:53,520 --> 00:22:57,840 Speaker 1: very effectively, and with the ARM deo, it is now 415 00:22:57,960 --> 00:23:01,480 Speaker 1: gramatically expanding into the even love strawberry and chocolate main 416 00:23:02,080 --> 00:23:06,560 Speaker 1: mainstave flavors. So a m D was up until this 417 00:23:06,640 --> 00:23:11,560 Speaker 1: point doing really well in vanilla strawberry chocolate, taking share 418 00:23:11,640 --> 00:23:16,600 Speaker 1: from Intel, but it's specialty flavors are weak. So this 419 00:23:16,880 --> 00:23:22,159 Speaker 1: Zielenk steal gives them access to wider array of specialty 420 00:23:22,160 --> 00:23:25,440 Speaker 1: ice cream buckets as well as being able to play 421 00:23:25,440 --> 00:23:29,160 Speaker 1: in the mainstap flavors. So the computing market is changing, 422 00:23:29,720 --> 00:23:36,280 Speaker 1: and uh D is responding partially to accelerated share games 423 00:23:36,280 --> 00:23:40,320 Speaker 1: from Intel and partially to have an alternative to both 424 00:23:40,320 --> 00:23:44,320 Speaker 1: the Intel platform and the video platform for the next decade. 425 00:23:45,280 --> 00:23:50,159 Speaker 1: ZILENX on mixed programmable ships for wireless networks, does it 426 00:23:50,280 --> 00:23:55,440 Speaker 1: want to get acquired? Look, okay, at this point we've 427 00:23:55,520 --> 00:23:58,800 Speaker 1: talked about this in the semiconductor industry. Um is that 428 00:23:59,280 --> 00:24:03,680 Speaker 1: scale matter, platforms matter, Right, So if you look at 429 00:24:03,800 --> 00:24:08,160 Speaker 1: what Intel's capability is, it's been able to put together 430 00:24:08,359 --> 00:24:11,040 Speaker 1: or has attention on paper, the ability to put together 431 00:24:12,000 --> 00:24:18,120 Speaker 1: these different ice cream sundays for specialty workloads for cloud computing. Right. So, 432 00:24:18,320 --> 00:24:20,960 Speaker 1: if you were a specialty ice cream flavor and you're 433 00:24:21,000 --> 00:24:24,040 Speaker 1: saying I'm only going to make the topic or only 434 00:24:24,080 --> 00:24:28,240 Speaker 1: the sprinkles or only the hard flood said you have, 435 00:24:28,640 --> 00:24:32,080 Speaker 1: you run the risk of being marginalized. Versus if you 436 00:24:32,280 --> 00:24:35,440 Speaker 1: are a part of a big ice cream shop, then 437 00:24:35,600 --> 00:24:38,560 Speaker 1: your tompics are going to be my more widely used 438 00:24:38,920 --> 00:24:41,439 Speaker 1: your specialty ice cream flavor. He's going to be a 439 00:24:41,480 --> 00:24:46,399 Speaker 1: part of vast number of ice cream sundays rather be 440 00:24:47,160 --> 00:24:52,680 Speaker 1: ending we're talking about chips, right, Yes, but the ice 441 00:24:52,720 --> 00:24:56,120 Speaker 1: creamility comes in handy, don't you think. So I talked 442 00:24:56,119 --> 00:24:59,480 Speaker 1: to us about valuation here. I'm looking at the Bloomberg 443 00:24:59,480 --> 00:25:03,879 Speaker 1: Intelligence research and I see zylenx here at forty times 444 00:25:04,000 --> 00:25:07,480 Speaker 1: uh earnings. Seems like a big multiple to me. What's 445 00:25:07,480 --> 00:25:10,760 Speaker 1: that mean for m D? Yeah? So m D is 446 00:25:10,800 --> 00:25:13,120 Speaker 1: going to have to use a lot out of its 447 00:25:13,160 --> 00:25:15,800 Speaker 1: stock currency for them. So we think that you know, 448 00:25:16,359 --> 00:25:19,160 Speaker 1: roughly two third stock one third cash, and that will 449 00:25:19,320 --> 00:25:22,600 Speaker 1: maximize their leverage. We think, um, you mean, if you 450 00:25:22,640 --> 00:25:24,879 Speaker 1: look at what Broad comes at four times, but we 451 00:25:24,960 --> 00:25:27,280 Speaker 1: think that they could do this deal. Was that two 452 00:25:27,280 --> 00:25:32,639 Speaker 1: third two third equity one third that that that driven cash? 453 00:25:32,760 --> 00:25:35,120 Speaker 1: So that's the way we're thinking that the deal might 454 00:25:35,119 --> 00:25:36,920 Speaker 1: be structured. Either way, there's going to be a lot 455 00:25:36,960 --> 00:25:39,880 Speaker 1: of stock in Voltimus deal. Are they getting a better 456 00:25:39,920 --> 00:25:42,199 Speaker 1: price because we're in pandemic times? Or I mean, is 457 00:25:42,200 --> 00:25:45,480 Speaker 1: there an actual extra premium because these companies have what 458 00:25:45,520 --> 00:25:49,560 Speaker 1: we need right now? Yeah? So, shockingly enough, the pandemic 459 00:25:49,680 --> 00:25:54,160 Speaker 1: hasn't um sort of dramatically altered the vector of computing. 460 00:25:54,160 --> 00:25:57,360 Speaker 1: If anything, it's accelerated it. So we've heard this from 461 00:25:57,400 --> 00:26:00,080 Speaker 1: all the cloud services companies, all the changes that you 462 00:26:00,119 --> 00:26:02,480 Speaker 1: were expecting over the next few years have just been 463 00:26:03,200 --> 00:26:06,720 Speaker 1: dramatically accelerated as a result of the pandemic and pushed 464 00:26:06,880 --> 00:26:10,960 Speaker 1: or pulled forward right, And these are the building blocks 465 00:26:11,000 --> 00:26:15,120 Speaker 1: that tower those changes. So you resoom call that you're 466 00:26:15,280 --> 00:26:19,040 Speaker 1: on six hours today is being powered by these chips. 467 00:26:19,080 --> 00:26:22,639 Speaker 1: So the fact that there's demands there means that there's 468 00:26:22,720 --> 00:26:26,399 Speaker 1: landscape changes beneath the herd. If you may all right 469 00:26:26,440 --> 00:26:29,280 Speaker 1: on and keep us honest and not to date, you 470 00:26:29,280 --> 00:26:31,080 Speaker 1: know you will be following this throughout the day and 471 00:26:31,200 --> 00:26:33,760 Speaker 1: into next week on a swing. US and a senior 472 00:26:33,800 --> 00:26:37,960 Speaker 1: semiconductor and hardware analyst for Bloomware Intelligence ice cream Analysts 473 00:26:38,200 --> 00:26:42,520 Speaker 1: exactly have been talked to you for me. Thanks for 474 00:26:42,520 --> 00:26:45,679 Speaker 1: listening to the Boomberg Markets podcast. You can subscribe and 475 00:26:45,800 --> 00:26:49,560 Speaker 1: listen to interviews at Apple Podcasts or whatever podcast platform 476 00:26:49,600 --> 00:26:52,720 Speaker 1: you prefer. I'm Bonnie Quinn. I'm on Twitter at Bonny 477 00:26:52,760 --> 00:26:55,600 Speaker 1: Quinn and Paul Sweeney I'm on Twitter at pt Sweeney. 478 00:26:55,640 --> 00:26:58,320 Speaker 1: Before the podcast, you can always catch us worldwide at 479 00:26:58,359 --> 00:27:03,119 Speaker 1: Bloomberg Radio. H uh uh u