1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penl Podcast. I'm Paul swing you. 2 00:00:05,360 --> 00:00:07,680 Speaker 1: Along with my co host Lisa Brahma Waits. Each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money, whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,960 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:21,959 Speaker 1: at Bloomberg dot com. Well, Amazon reported earnings after the 8 00:00:21,960 --> 00:00:26,280 Speaker 1: bell yesterday, showing the first drop year over year since 9 00:00:26,320 --> 00:00:29,760 Speaker 1: early t seventeen in their earnings, and the longer that 10 00:00:29,840 --> 00:00:33,000 Speaker 1: investors have to digest this, the more investors to like, 11 00:00:33,040 --> 00:00:35,320 Speaker 1: you know what, we actually kind of like Amazon more, 12 00:00:35,360 --> 00:00:37,760 Speaker 1: actually a little bit lower to discount and shares have 13 00:00:37,840 --> 00:00:40,680 Speaker 1: come back at one point down more than eight percent, 14 00:00:40,760 --> 00:00:43,600 Speaker 1: now down two point six percent. Joining us now to 15 00:00:43,640 --> 00:00:47,320 Speaker 1: discuss Alex web technology calumnist for a Bloomberg opinion, Joining 16 00:00:47,360 --> 00:00:49,920 Speaker 1: from London. So, Alex, We've been talking about it all morning, 17 00:00:50,440 --> 00:00:55,560 Speaker 1: Amazon shares falling. It does seem though that they are stabilizing. 18 00:00:55,840 --> 00:00:59,760 Speaker 1: Why do you think? I mean, I think that usually 19 00:00:59,800 --> 00:01:04,440 Speaker 1: when Amazon spends money, it goes somewhere which does wind 20 00:01:04,520 --> 00:01:07,760 Speaker 1: market share and generate returns, Um. On the one hand, 21 00:01:07,800 --> 00:01:12,000 Speaker 1: we've gotten spending money on on improved deliveries in acceleration 22 00:01:12,080 --> 00:01:16,440 Speaker 1: the pacer which prime orders get delivered. And secondly, it 23 00:01:16,480 --> 00:01:18,760 Speaker 1: looks as though they are taking a bit of a 24 00:01:18,880 --> 00:01:22,399 Speaker 1: hit on on the margin for Amazon Web services, the 25 00:01:22,480 --> 00:01:26,880 Speaker 1: hugely successful cloud operations. But the motivation for that might 26 00:01:26,959 --> 00:01:30,520 Speaker 1: be about defending its market share. That by by cutting prices, 27 00:01:30,560 --> 00:01:33,199 Speaker 1: they are fending off the incursions of the likes of 28 00:01:33,440 --> 00:01:37,240 Speaker 1: Microsoft in particular, but also perhaps Google and Ali barber Um. 29 00:01:37,840 --> 00:01:40,399 Speaker 1: And you know, if you're defending market share, then it's 30 00:01:40,400 --> 00:01:43,920 Speaker 1: defensible to maybe sacrifice a little bit of profitability. So Alex, 31 00:01:44,120 --> 00:01:46,360 Speaker 1: you know, this is a company that's kind of dialed 32 00:01:46,440 --> 00:01:49,480 Speaker 1: up expenses, dialed down expenses, you know, kind of depending 33 00:01:49,560 --> 00:01:52,360 Speaker 1: upon maybe either kind of what they what they need 34 00:01:52,400 --> 00:01:54,560 Speaker 1: to invest in and maybe what kind of profits they 35 00:01:54,560 --> 00:01:56,400 Speaker 1: want to show the street. Are we do you get 36 00:01:56,400 --> 00:01:58,760 Speaker 1: the sense that maybe the company is getting into a phase, 37 00:01:59,560 --> 00:02:03,280 Speaker 1: uh of higher expenses. I think it certainly looks as 38 00:02:03,280 --> 00:02:06,360 Speaker 1: though the competitive challenges are increasing. Um. That's happening both 39 00:02:06,360 --> 00:02:09,720 Speaker 1: when it comes to e commerce and cloud and therefore, 40 00:02:09,840 --> 00:02:14,360 Speaker 1: you know, warrants opening the checkbook a little bit. The 41 00:02:15,680 --> 00:02:20,720 Speaker 1: you know, AWS profits are still disproportionately huge. You know, 42 00:02:20,760 --> 00:02:23,919 Speaker 1: they account for two thirds of the overall profit of 43 00:02:24,120 --> 00:02:28,000 Speaker 1: the business. UM, we are yet to see whether really 44 00:02:28,080 --> 00:02:31,760 Speaker 1: the pushes from the likes of Walmart and Target can 45 00:02:31,880 --> 00:02:35,080 Speaker 1: make a real incursion into this e commerce space. I 46 00:02:35,120 --> 00:02:38,200 Speaker 1: think that there starts something like e commerce accounts for 47 00:02:38,280 --> 00:02:42,200 Speaker 1: ten percent of all retail in the US, and Amazon's 48 00:02:42,240 --> 00:02:47,160 Speaker 1: about of that. So until we see any meaningful shift 49 00:02:47,240 --> 00:02:50,280 Speaker 1: on that dial um, then I think people can be 50 00:02:50,360 --> 00:02:53,880 Speaker 1: very confident in the Amazon's trajectory. So let's talk about 51 00:02:53,880 --> 00:02:58,640 Speaker 1: a WS, the cloud computing service sector of Amazon that 52 00:02:58,800 --> 00:03:01,280 Speaker 1: was also a disappoint a minute, and it arguably is 53 00:03:01,320 --> 00:03:05,600 Speaker 1: You're making the argument this morning a more significant disappointment 54 00:03:05,720 --> 00:03:09,760 Speaker 1: than the increased spend, and I'm wondering why people seem 55 00:03:09,800 --> 00:03:13,600 Speaker 1: to be shruggling that off. I think maybe the perhaps 56 00:03:13,639 --> 00:03:15,959 Speaker 1: the arguments of the rationale for that for that slight 57 00:03:16,040 --> 00:03:19,080 Speaker 1: decline are emerging. It might be we don't really know, 58 00:03:19,160 --> 00:03:20,960 Speaker 1: but we might be that, as we said, it is 59 00:03:20,960 --> 00:03:25,400 Speaker 1: about defending market share and UM and you know, it 60 00:03:25,520 --> 00:03:27,960 Speaker 1: still is the biggest player in that space by quite 61 00:03:28,000 --> 00:03:31,000 Speaker 1: some some distance, and the sort of expenditure you need 62 00:03:31,160 --> 00:03:35,600 Speaker 1: to to you know, challenge in in essentially data centers 63 00:03:36,280 --> 00:03:39,880 Speaker 1: is significant. You know, these chips, you know, server chips 64 00:03:39,880 --> 00:03:43,280 Speaker 1: from Intel costs sort of ten twelve thousand dollars a pop, 65 00:03:43,360 --> 00:03:45,360 Speaker 1: and if you've got hundreds of them, that's a huge outlay. 66 00:03:45,400 --> 00:03:48,280 Speaker 1: So it's not that once you have a competitive advantage there, 67 00:03:48,320 --> 00:03:51,920 Speaker 1: it is quite hard to displace. Um. Nonetheless, the competitors 68 00:03:51,920 --> 00:03:54,040 Speaker 1: in the space are very well capitalized and not to 69 00:03:54,080 --> 00:03:58,160 Speaker 1: be trifled with. And you know, as long but as 70 00:03:58,200 --> 00:03:59,960 Speaker 1: long as Amazon continues to throw off cash and be 71 00:04:00,000 --> 00:04:04,400 Speaker 1: happy to reinvest it, then then you know it's it's 72 00:04:04,480 --> 00:04:07,040 Speaker 1: by no means a sort of it's still a very 73 00:04:07,080 --> 00:04:10,480 Speaker 1: healthy business. So how about one of the businesses that 74 00:04:10,800 --> 00:04:13,320 Speaker 1: may not be as healthy, and that's the grocery business. 75 00:04:13,320 --> 00:04:15,840 Speaker 1: And I remember them buying something like a Whole Foods 76 00:04:15,920 --> 00:04:18,000 Speaker 1: or something a year or two ago. Did they disclose 77 00:04:18,160 --> 00:04:21,920 Speaker 1: much about their grocery business? Is that something that they 78 00:04:22,400 --> 00:04:24,560 Speaker 1: think is going to be a growth forever in the future. 79 00:04:25,320 --> 00:04:28,400 Speaker 1: I mean generally that the push from Amazon into into 80 00:04:28,520 --> 00:04:33,440 Speaker 1: bricks and mortar is a play which I'm yet to 81 00:04:33,480 --> 00:04:37,720 Speaker 1: see fully explained and quite how that the margin profile 82 00:04:37,880 --> 00:04:40,880 Speaker 1: of that will hold up. But UM, you know that 83 00:04:40,960 --> 00:04:45,040 Speaker 1: the numbers they've disclosed from from Whole Foods, um, you 84 00:04:45,040 --> 00:04:47,919 Speaker 1: know that it does seem to have declined in the 85 00:04:47,920 --> 00:04:50,120 Speaker 1: most recent quarter. I think physical stores you're in your 86 00:04:50,160 --> 00:04:54,040 Speaker 1: growth excluding currency effects fell by about one percent. Now 87 00:04:54,160 --> 00:04:56,119 Speaker 1: that's not a trend that people will be happy to see. 88 00:04:56,520 --> 00:04:59,120 Speaker 1: But you know, the Amazon argument will be, well, it's 89 00:04:59,839 --> 00:05:01,719 Speaker 1: you an't necessarily to be making the sales in the stores. 90 00:05:01,760 --> 00:05:03,760 Speaker 1: They were kind of perhaps a lost leader where you 91 00:05:03,800 --> 00:05:05,120 Speaker 1: go out, people see it in there, and then they 92 00:05:05,200 --> 00:05:07,920 Speaker 1: might go online and buy things. Nonetheless, I don't think 93 00:05:07,920 --> 00:05:12,200 Speaker 1: it seems terribly compelling. Um, you know, story to tell investors. 94 00:05:12,839 --> 00:05:14,680 Speaker 1: Thank you so much for being with us, Alex Webb, 95 00:05:15,160 --> 00:05:17,360 Speaker 1: and for all of your commentary throughout the morning. Alex 96 00:05:17,360 --> 00:05:20,040 Speaker 1: Webb is a Bloomberg Opinion technology calmness. You create all 97 00:05:20,160 --> 00:05:23,480 Speaker 1: his columns, as well as all the other fantastic work 98 00:05:23,560 --> 00:05:26,039 Speaker 1: put out on O P. I N go on the 99 00:05:26,040 --> 00:05:30,599 Speaker 1: Bloomberg terminal or Bloomberg dot com slash Opinion if you 100 00:05:30,720 --> 00:05:47,600 Speaker 1: go to the web. You know, I was just chatting 101 00:05:47,600 --> 00:05:49,040 Speaker 1: with Lisa Affair and I was saying, you know, we 102 00:05:49,080 --> 00:05:51,840 Speaker 1: haven't we don't really talk that much about risk arbitrage 103 00:05:51,880 --> 00:05:53,960 Speaker 1: and trading around deals that used to be such a 104 00:05:54,400 --> 00:05:56,039 Speaker 1: big part of the market. I feel like we don't 105 00:05:56,080 --> 00:05:57,960 Speaker 1: talk about it enough, but I think we can change 106 00:05:58,000 --> 00:05:59,880 Speaker 1: that a little bit. Right now, you'll have Sharon It's 107 00:06:00,040 --> 00:06:03,719 Speaker 1: portfolio manager for dree House Capital Management in Chicago, joins 108 00:06:03,800 --> 00:06:05,840 Speaker 1: us on the phone. You have, thanks so much for 109 00:06:05,920 --> 00:06:09,600 Speaker 1: joining us. Let's start with the risk arbitrage part of 110 00:06:09,640 --> 00:06:12,159 Speaker 1: the market. Give us a sense of you know, how 111 00:06:12,240 --> 00:06:15,320 Speaker 1: vibrant that is. What kind of returns are risk arbitraders 112 00:06:15,360 --> 00:06:17,960 Speaker 1: getting these days? Sure, well, thanks for having me on. 113 00:06:18,200 --> 00:06:21,120 Speaker 1: You know, at a at a holistic level. Today, UH, 114 00:06:21,240 --> 00:06:23,760 Speaker 1: annual spreads or I guess gross spreads are sitting at 115 00:06:23,760 --> 00:06:26,000 Speaker 1: a just under four percent, so call it three point 116 00:06:26,040 --> 00:06:29,520 Speaker 1: six percent as of quarter end. UM. There's been in 117 00:06:29,560 --> 00:06:31,640 Speaker 1: the middle part of this decade quite a boom in 118 00:06:31,880 --> 00:06:35,680 Speaker 1: and obviously traditional murder arbitrage activity UM. In the most 119 00:06:35,720 --> 00:06:39,080 Speaker 1: recent quarter that has died down UM, partly because of 120 00:06:39,120 --> 00:06:43,039 Speaker 1: the global economic concern to geopolitical tensions, etcetera. But what 121 00:06:43,200 --> 00:06:46,560 Speaker 1: we're seeing is still quite a bit of deal activity UM, 122 00:06:46,640 --> 00:06:49,520 Speaker 1: not only in traditional merger arbitrage, which again you know 123 00:06:49,560 --> 00:06:52,839 Speaker 1: investors can expect kind of a four percent gross return 124 00:06:52,920 --> 00:06:55,320 Speaker 1: depending on when deals closed. People are looking for a 125 00:06:55,360 --> 00:06:58,000 Speaker 1: mid single digits, potentially an upper single digits rate to 126 00:06:58,040 --> 00:07:01,560 Speaker 1: return annualize UM. But we're also seeing a bunch of 127 00:07:01,760 --> 00:07:05,280 Speaker 1: non traditional quote unquote event or deal activity, which is 128 00:07:05,279 --> 00:07:09,120 Speaker 1: also driving the the avenger of an investing landscape. How 129 00:07:09,200 --> 00:07:11,360 Speaker 1: easy is it to get it right what you're dealing 130 00:07:11,360 --> 00:07:15,240 Speaker 1: with this, UH at a time of such bifurcated results 131 00:07:15,240 --> 00:07:18,280 Speaker 1: often Sure, Yeah, that's a great question. It's something that 132 00:07:18,320 --> 00:07:20,240 Speaker 1: we've spent a lot of time focusing on. Really, the 133 00:07:20,280 --> 00:07:23,000 Speaker 1: bifurcation not only in in risk are, but in in 134 00:07:23,080 --> 00:07:25,120 Speaker 1: other parts of the market as well, credit and even 135 00:07:25,160 --> 00:07:28,480 Speaker 1: equity valuations. But UM has been a driving force of 136 00:07:28,600 --> 00:07:31,200 Speaker 1: l but specifically for risk are, we really have seen 137 00:07:31,240 --> 00:07:35,240 Speaker 1: a bifurcation where the quote unquote safe spreads UM, just 138 00:07:35,320 --> 00:07:37,440 Speaker 1: like we're seeing in yield, there's a there's a flight 139 00:07:37,480 --> 00:07:40,440 Speaker 1: to quality. People are trying to hide out in in 140 00:07:40,560 --> 00:07:43,480 Speaker 1: these safe spreads ones, the ones that don't have either 141 00:07:43,760 --> 00:07:47,600 Speaker 1: you know, contentious litigation or regulatory overhang UM or cross 142 00:07:47,640 --> 00:07:51,920 Speaker 1: border UH concerns getting tied up in in government UH 143 00:07:52,040 --> 00:07:54,760 Speaker 1: tip for TAD if you will. UH. Those spreads are 144 00:07:54,760 --> 00:07:57,800 Speaker 1: really compressed in overly tight, and then you have this 145 00:07:57,880 --> 00:08:00,480 Speaker 1: air pocket in the middle of the risk arbitract spectrum 146 00:08:00,480 --> 00:08:02,720 Speaker 1: where there aren't very many deals that live in the 147 00:08:03,400 --> 00:08:06,080 Speaker 1: you know, mid to sing upper single digits range for 148 00:08:06,160 --> 00:08:08,560 Speaker 1: a grosser rate to return. So then what you're left 149 00:08:08,600 --> 00:08:11,160 Speaker 1: with is a handful or a slew of deals that, 150 00:08:11,360 --> 00:08:15,800 Speaker 1: again for either regulatory purposes or geopolitical purposes, are sitting 151 00:08:15,880 --> 00:08:18,200 Speaker 1: essentially at coin flips. So if you think about it 152 00:08:18,240 --> 00:08:22,160 Speaker 1: in an implied probability standpoint, the really safe spreads are 153 00:08:22,200 --> 00:08:26,440 Speaker 1: trading in the upper implied probability. The overall deal universe 154 00:08:26,520 --> 00:08:31,600 Speaker 1: is still trading around implied probability, which is somewhat in 155 00:08:31,640 --> 00:08:34,319 Speaker 1: line with its historical range. But there's a whole slew 156 00:08:34,320 --> 00:08:36,599 Speaker 1: of deals that are sitting essentially at coin flips, so 157 00:08:37,720 --> 00:08:40,800 Speaker 1: implied probabilities. Again, these are deals that are either need 158 00:08:40,920 --> 00:08:45,000 Speaker 1: Chinese approval UH, deals that need or are being under 159 00:08:45,080 --> 00:08:48,160 Speaker 1: a new FTC guideline, particularly in the healthcare space, where 160 00:08:48,160 --> 00:08:52,000 Speaker 1: there's a lot of concern as to what the rules 161 00:08:52,000 --> 00:08:54,400 Speaker 1: of the game are. So that's that's really what's been 162 00:08:54,480 --> 00:08:57,000 Speaker 1: driving this bifurcation. And obviously, you know you nailed it 163 00:08:57,040 --> 00:09:00,720 Speaker 1: on the head getting getting the ones right is significant 164 00:09:00,720 --> 00:09:04,400 Speaker 1: and obviously drives returns, but just as importantly as avoiding 165 00:09:04,440 --> 00:09:07,200 Speaker 1: the blow ups is really what's important. Obviously, you know, 166 00:09:07,440 --> 00:09:10,600 Speaker 1: at the beginning of eighteen with n XPN Qualcom, there 167 00:09:10,679 --> 00:09:12,520 Speaker 1: was a lot of carnage in the space that kind 168 00:09:12,520 --> 00:09:15,080 Speaker 1: of reset spreads a little wider. And now it's been 169 00:09:15,120 --> 00:09:16,840 Speaker 1: a while since there's been a big blow up. But 170 00:09:16,960 --> 00:09:20,160 Speaker 1: avoiding those is is equally, if not more important than 171 00:09:20,160 --> 00:09:23,040 Speaker 1: getting the ones right. So you have when I started 172 00:09:23,040 --> 00:09:25,360 Speaker 1: on Wall Street in the mid eighties, all the big 173 00:09:25,679 --> 00:09:29,200 Speaker 1: investment banks had big risk are trading desk and that 174 00:09:29,280 --> 00:09:32,160 Speaker 1: was kind of the really cool place to be. Who's 175 00:09:32,200 --> 00:09:35,280 Speaker 1: investing and who's playing in the risk are market? Uh? 176 00:09:35,360 --> 00:09:37,840 Speaker 1: These days, yeah, I mean I think you still have 177 00:09:37,920 --> 00:09:41,080 Speaker 1: dedicated funds to risk arb, both in in the liquid 178 00:09:41,080 --> 00:09:43,640 Speaker 1: space and obviously in the LP space. I think what's 179 00:09:43,720 --> 00:09:47,839 Speaker 1: what's evolved over time is uh, a broader spectrum, if 180 00:09:47,840 --> 00:09:51,760 Speaker 1: you will, a catalyst spectrum for events space investing, So 181 00:09:51,840 --> 00:09:55,080 Speaker 1: event driven investing, anything from obviously activism gets a lot 182 00:09:55,120 --> 00:09:59,280 Speaker 1: of attention, but really you know, any sort of corporate actions, recapitalizations, 183 00:09:59,360 --> 00:10:05,480 Speaker 1: refinance things, pushing out maturity walls understanding either seismic shifts 184 00:10:05,480 --> 00:10:09,000 Speaker 1: and industries or regulatory concerns. So I think the the 185 00:10:09,120 --> 00:10:12,920 Speaker 1: investor base and the number of strategies that one is 186 00:10:12,960 --> 00:10:15,160 Speaker 1: able to utilize as really broadened out. So it's not 187 00:10:15,280 --> 00:10:19,760 Speaker 1: just you know, the traditional murder arb levered play that 188 00:10:19,960 --> 00:10:22,600 Speaker 1: was prevalent as you referenced in the eighties and nineties. Today, 189 00:10:22,640 --> 00:10:25,840 Speaker 1: you know, we employ on our fund a multi strategy approach, 190 00:10:25,880 --> 00:10:28,640 Speaker 1: and one of the things that really allows us to 191 00:10:28,679 --> 00:10:31,480 Speaker 1: take advantage of dislocations and shifts in the market is 192 00:10:31,520 --> 00:10:33,640 Speaker 1: that's when that creates new opportunity for us, and we're 193 00:10:33,679 --> 00:10:36,320 Speaker 1: able to you know, in a quarter where you know, 194 00:10:36,440 --> 00:10:40,160 Speaker 1: Q three had the lowest deal activity both from number 195 00:10:40,200 --> 00:10:42,520 Speaker 1: and value in the last five years, going back to 196 00:10:42,600 --> 00:10:45,640 Speaker 1: Q four of teens. So in a quarter like that 197 00:10:45,679 --> 00:10:48,280 Speaker 1: where there's no deal activity, you still have plenty of 198 00:10:48,320 --> 00:10:53,040 Speaker 1: other pockets to invest along the catalyst spectrum. Excuse me, 199 00:10:53,160 --> 00:10:55,520 Speaker 1: so you know that's sorry, Go ahead, no, no, you have. 200 00:10:55,600 --> 00:10:57,920 Speaker 1: I wanted to get into something that you said earlier, 201 00:10:57,960 --> 00:11:00,960 Speaker 1: which is avoiding blow ups, and um, when you think 202 00:11:01,080 --> 00:11:03,440 Speaker 1: when I think of avoiding blow ups, I think of 203 00:11:03,520 --> 00:11:06,839 Speaker 1: soft bank, and I think of the we work situation 204 00:11:06,920 --> 00:11:10,880 Speaker 1: in the uber declines, etcetera. Um, what do you make 205 00:11:11,040 --> 00:11:13,120 Speaker 1: of the recent I p O is that I either 206 00:11:13,360 --> 00:11:16,760 Speaker 1: fizzled in post ip O treating or that failed to 207 00:11:16,760 --> 00:11:19,200 Speaker 1: get off the ground. Yeah, you know, I think this 208 00:11:19,280 --> 00:11:20,840 Speaker 1: year has been an interesting year for I p O 209 00:11:20,880 --> 00:11:23,000 Speaker 1: s because it's been uh somewhat of a hit or 210 00:11:23,040 --> 00:11:26,920 Speaker 1: miss year. Um. Traditionally i pos performed performed well. Obviously, 211 00:11:26,920 --> 00:11:28,840 Speaker 1: you want to be able to tap capital markets in 212 00:11:28,840 --> 00:11:30,920 Speaker 1: the future, so you try and price these appropriately and 213 00:11:31,200 --> 00:11:33,960 Speaker 1: so that they performed well. This year has been driven 214 00:11:34,000 --> 00:11:36,360 Speaker 1: by a few large I p O s. U. I 215 00:11:36,520 --> 00:11:40,000 Speaker 1: p O s broadly are there's less um kind of 216 00:11:40,040 --> 00:11:43,439 Speaker 1: the traditional traditional ones that are going. But obviously the 217 00:11:43,679 --> 00:11:46,000 Speaker 1: few large ones have accounted for the bulk of the activity, 218 00:11:46,200 --> 00:11:49,000 Speaker 1: which is actually something that we're seeing in murder arbit 219 00:11:49,000 --> 00:11:50,640 Speaker 1: trash as well. This year is going to end up 220 00:11:50,640 --> 00:11:52,959 Speaker 1: being a you know again quote unquote a good year 221 00:11:53,000 --> 00:11:56,840 Speaker 1: or healthy year for for murder arb in terms of volumes, 222 00:11:56,880 --> 00:11:59,199 Speaker 1: but it's really going to be driven by a few 223 00:11:59,280 --> 00:12:02,480 Speaker 1: key deals. Um, what we're seeing is that there's less 224 00:12:02,640 --> 00:12:05,559 Speaker 1: uh bread than the activity and in smaller deals. So 225 00:12:05,880 --> 00:12:07,720 Speaker 1: you know, I think, uh, we watch the I p 226 00:12:07,800 --> 00:12:09,679 Speaker 1: O is very closely because I think they're they're a 227 00:12:09,760 --> 00:12:14,320 Speaker 1: good um U forecaster of general capital markets exposure and 228 00:12:14,320 --> 00:12:17,679 Speaker 1: in financing capabilities. UM we participate in a lot of 229 00:12:18,040 --> 00:12:21,240 Speaker 1: UH financing deals UH in particularly in the healthcare space. 230 00:12:21,280 --> 00:12:24,600 Speaker 1: That also is is a good harbinger of UH capital 231 00:12:24,600 --> 00:12:29,199 Speaker 1: markets appetite and people's willingness to fund and lend. Obviously, 232 00:12:29,240 --> 00:12:32,440 Speaker 1: when you have a few situations that unfold that that 233 00:12:32,559 --> 00:12:35,920 Speaker 1: hurt hurt investors, there's a period of kind of licking 234 00:12:36,000 --> 00:12:39,800 Speaker 1: the wounds and in resetting of not only expectations, but 235 00:12:40,040 --> 00:12:43,600 Speaker 1: resetting of of risk risk appetite. And in the merger 236 00:12:43,679 --> 00:12:45,800 Speaker 1: arbitrarge space where you'll see there is is kind of 237 00:12:46,040 --> 00:12:48,880 Speaker 1: spreads well wide and now people will reassess, people will 238 00:12:48,920 --> 00:12:52,280 Speaker 1: require a higher rate of return, which is not surprising 239 00:12:52,280 --> 00:12:55,000 Speaker 1: in a in a investment vehicle or in a in 240 00:12:55,080 --> 00:12:58,000 Speaker 1: a particular pocket of the market where you know, again, 241 00:12:58,000 --> 00:13:00,319 Speaker 1: if if the implied probability is ninety five scent of 242 00:13:00,360 --> 00:13:03,280 Speaker 1: the time time you're going to be right five percent 243 00:13:03,320 --> 00:13:05,680 Speaker 1: you're gonna be wrong. The math dictates that when you're wrong, 244 00:13:05,720 --> 00:13:07,640 Speaker 1: it's going to hurt more than when you're right. Yeah, 245 00:13:07,800 --> 00:13:10,040 Speaker 1: that's why it's so important to avoid the blow us. 246 00:13:10,400 --> 00:13:12,440 Speaker 1: You have Sharon, Thank you so much for being with us. 247 00:13:12,480 --> 00:13:15,559 Speaker 1: You have Sharon, his portfolio manager at dry House Capital Management, 248 00:13:16,040 --> 00:13:20,040 Speaker 1: coming to us from Chicago. Interesting to hear about avoiding 249 00:13:20,080 --> 00:13:23,320 Speaker 1: the blow ups. Asymmetrical returns. I think they call it, 250 00:13:23,360 --> 00:13:26,240 Speaker 1: you know, when they blows up. Boy, that's big. Yeah. Well, 251 00:13:26,280 --> 00:13:30,040 Speaker 1: I think that asymmetrical returns are something that some analysts 252 00:13:30,120 --> 00:13:51,160 Speaker 1: over at soft Bank are focusing on in this era 253 00:13:51,400 --> 00:13:54,800 Speaker 1: of ultra low interest rates. Is it still good to 254 00:13:54,840 --> 00:13:58,120 Speaker 1: invest in real estate? Joining us now, Melissa Reagan had 255 00:13:58,120 --> 00:14:00,520 Speaker 1: of research for new real estate writing us in our 256 00:14:00,520 --> 00:14:03,880 Speaker 1: bloom Biger Active Brokers studios. Melissa, we've seen already such 257 00:14:03,960 --> 00:14:06,920 Speaker 1: a big run up in the prices of real estate 258 00:14:06,960 --> 00:14:10,720 Speaker 1: around the nation, particularly in coastal cities. How much more 259 00:14:10,800 --> 00:14:14,720 Speaker 1: upside at this point is there left? I'd say a 260 00:14:14,720 --> 00:14:17,319 Speaker 1: lot still a lot left. And by that I say 261 00:14:17,360 --> 00:14:19,880 Speaker 1: that because of the fundamentals that you see in real estate. 262 00:14:19,880 --> 00:14:23,040 Speaker 1: So if you think about apartments, for example, having one 263 00:14:23,040 --> 00:14:25,680 Speaker 1: of its strongest years on record from an occupancy perspective, 264 00:14:25,680 --> 00:14:30,000 Speaker 1: occupancies over that's the Hyacinths two thousand, that's nineteen years, 265 00:14:30,200 --> 00:14:33,360 Speaker 1: and rents are growing three to four percent, sometimes seven 266 00:14:33,400 --> 00:14:35,440 Speaker 1: eight percent, depending on the sun Belt market you're in. 267 00:14:35,800 --> 00:14:39,400 Speaker 1: So the fundamentals are there to support pricing. So is 268 00:14:39,440 --> 00:14:43,120 Speaker 1: this still a big regional play as it relates to apartments? Again, 269 00:14:43,160 --> 00:14:45,240 Speaker 1: you mentioned the sun Belt, I've kind of we've always 270 00:14:45,240 --> 00:14:48,480 Speaker 1: heard that, I guess, So is it still regional play? 271 00:14:48,800 --> 00:14:50,960 Speaker 1: It is, absolutely. I mean it depends on sort of 272 00:14:51,000 --> 00:14:53,000 Speaker 1: the property type, but I would say in general, yeah, 273 00:14:53,000 --> 00:14:54,880 Speaker 1: the sun Belt is really strong. Right, You've got the 274 00:14:54,960 --> 00:14:58,560 Speaker 1: strong in migration coming from millennials right there, starting to 275 00:14:58,640 --> 00:15:01,320 Speaker 1: form families and are thinking about where to want Where 276 00:15:01,520 --> 00:15:02,720 Speaker 1: Where am I want to live? Where do I want 277 00:15:02,760 --> 00:15:06,080 Speaker 1: to live? Right? And the Sunbelt offers a great quality 278 00:15:06,080 --> 00:15:11,040 Speaker 1: of life, has a deep job pool, more affordable and 279 00:15:11,160 --> 00:15:13,360 Speaker 1: this is where millennials want to be driving real estate. 280 00:15:13,520 --> 00:15:16,000 Speaker 1: So this has been a theme for a while. It's 281 00:15:16,000 --> 00:15:18,720 Speaker 1: a talk about some of the other investments that nuvine 282 00:15:18,720 --> 00:15:23,040 Speaker 1: has been making, such as cell towers, billboards and healthcare 283 00:15:23,080 --> 00:15:26,440 Speaker 1: related of the cell tower business. This is a great business. 284 00:15:26,440 --> 00:15:31,080 Speaker 1: It is a great business. Please absolutely, so in this 285 00:15:31,160 --> 00:15:35,280 Speaker 1: we have a healthcare technology theme for real estate investing. 286 00:15:35,480 --> 00:15:38,720 Speaker 1: Why because it's generated higher risk adjustice returns in the 287 00:15:38,800 --> 00:15:41,840 Speaker 1: last decade, and we think that's true going forward given 288 00:15:41,880 --> 00:15:44,840 Speaker 1: the strong tail winds behind technology driven real estate. So 289 00:15:44,840 --> 00:15:47,440 Speaker 1: that can be data center, cell towers, just extend billboards, 290 00:15:47,440 --> 00:15:52,040 Speaker 1: depending on how you want to categorize it. Look at 291 00:15:52,080 --> 00:15:53,920 Speaker 1: when you drive down the highway. I thought we talked 292 00:15:53,960 --> 00:15:56,360 Speaker 1: about that. That's not what I'm talking about. Gains? Is it? 293 00:15:56,520 --> 00:16:00,600 Speaker 1: Absolutely margins? Growing lows midmid single digit tons of free 294 00:16:00,640 --> 00:16:02,960 Speaker 1: cash flow? I took them public back in the day. Absolutely, 295 00:16:02,960 --> 00:16:05,520 Speaker 1: look at you, all right, there are some electronics that 296 00:16:05,560 --> 00:16:08,920 Speaker 1: there are some electronic that are much more technology focus, 297 00:16:08,960 --> 00:16:12,000 Speaker 1: but either way, so so yeah, So how we see 298 00:16:12,000 --> 00:16:14,520 Speaker 1: the world is that these are the sectors, the technology 299 00:16:14,560 --> 00:16:16,600 Speaker 1: healthcare driven sectors are the ones that are going to 300 00:16:16,640 --> 00:16:19,760 Speaker 1: continue to generate higher risk and justic returns relative to 301 00:16:19,840 --> 00:16:22,280 Speaker 1: just you know, your your traditional real states still going 302 00:16:22,320 --> 00:16:25,600 Speaker 1: to give you that solid income, but higher risk justice. 303 00:16:25,920 --> 00:16:27,960 Speaker 1: Here's what I'm thinking about as you talk how do 304 00:16:28,000 --> 00:16:30,120 Speaker 1: you avoid the blow ups as we were talking about 305 00:16:30,120 --> 00:16:33,080 Speaker 1: earlier in the show, because when you talk about apartments, 306 00:16:33,400 --> 00:16:35,320 Speaker 1: sure the Sun Belt might be doing all right, but 307 00:16:35,320 --> 00:16:37,480 Speaker 1: there's certainly cities that aren't. When you talk about health 308 00:16:37,480 --> 00:16:40,560 Speaker 1: care properties, you can think about hospital chains that have 309 00:16:40,640 --> 00:16:43,320 Speaker 1: been overbuilt and overbetded and need to get you know, 310 00:16:43,400 --> 00:16:46,359 Speaker 1: cut down, and are need to have their debt restructured. 311 00:16:46,720 --> 00:16:51,000 Speaker 1: So where are the potholes here that you're avoiding absolutely? 312 00:16:51,040 --> 00:16:52,920 Speaker 1: So that's a great point when you talk about healthcare 313 00:16:52,920 --> 00:16:55,280 Speaker 1: and you think about something like skill nursing, right, and 314 00:16:55,320 --> 00:16:57,120 Speaker 1: so that that is where you've seen a lot of 315 00:16:57,120 --> 00:17:00,880 Speaker 1: operators in that space strong go with their margins, not 316 00:17:00,920 --> 00:17:02,960 Speaker 1: be able to turn a profit. Dad has been a 317 00:17:03,040 --> 00:17:06,680 Speaker 1: huge struggle area for healthcare real estate. But when I 318 00:17:06,720 --> 00:17:08,440 Speaker 1: think about healthcare real estate, we look at it from 319 00:17:08,440 --> 00:17:11,200 Speaker 1: a life science perspective, which is driven a lot by 320 00:17:11,280 --> 00:17:15,000 Speaker 1: biotech VC funding, which is not going anywhere drugs, right, 321 00:17:15,400 --> 00:17:17,840 Speaker 1: the tenants in that space they make drugs that's not 322 00:17:17,880 --> 00:17:19,959 Speaker 1: going anywhere. And then we also look at it from 323 00:17:20,040 --> 00:17:23,600 Speaker 1: a medical office perspective, where you're not it's not a 324 00:17:23,640 --> 00:17:26,080 Speaker 1: direct play on the hospital not buying the hospital, you're 325 00:17:26,080 --> 00:17:29,280 Speaker 1: buying the medical office that maybe campus adjacent or even 326 00:17:29,320 --> 00:17:32,840 Speaker 1: off campus, but is strong demand right from baby boomers 327 00:17:32,880 --> 00:17:36,960 Speaker 1: aging needing new hips, new knees. That's how we think 328 00:17:37,000 --> 00:17:40,040 Speaker 1: about avoiding the potholes. But yes, there are many of them. 329 00:17:40,280 --> 00:17:42,640 Speaker 1: Those are the sectors we really like do you avoid 330 00:17:42,760 --> 00:17:46,280 Speaker 1: markets that may be overheated. It's such as kind of 331 00:17:46,320 --> 00:17:49,440 Speaker 1: the coastal areas like you know again the northeast, the 332 00:17:50,080 --> 00:17:52,840 Speaker 1: west coast, are those too highly priced that you can't 333 00:17:52,840 --> 00:17:55,879 Speaker 1: generate the returns you like? Absolutely? So what we've done 334 00:17:56,040 --> 00:18:00,560 Speaker 1: is we have built a relative value model for every 335 00:18:01,320 --> 00:18:03,640 Speaker 1: metro and by property type. And so what that says 336 00:18:03,680 --> 00:18:06,159 Speaker 1: to us is, all right, you have to put in 337 00:18:06,200 --> 00:18:08,199 Speaker 1: what is your initial yield going into these markets? And 338 00:18:08,240 --> 00:18:10,680 Speaker 1: to your point, if it's really low, you're not going 339 00:18:10,760 --> 00:18:12,680 Speaker 1: to get no matter how good the fundamentals are, You're 340 00:18:12,720 --> 00:18:14,600 Speaker 1: just not going to get the growth, even if the 341 00:18:14,600 --> 00:18:17,200 Speaker 1: growth is very strong. And so we've built these models 342 00:18:17,200 --> 00:18:20,560 Speaker 1: so we can tell you on the fly this market 343 00:18:20,640 --> 00:18:22,960 Speaker 1: is a better value because you get the growth, but 344 00:18:23,000 --> 00:18:25,800 Speaker 1: the initial yield is higher, and so we're trying to 345 00:18:25,880 --> 00:18:28,399 Speaker 1: we're doing that on the fly and dynamically so we 346 00:18:28,440 --> 00:18:31,359 Speaker 1: know kind of any given day, quarter month, where to 347 00:18:31,400 --> 00:18:34,200 Speaker 1: place the capital. Is there one city you absolutely would 348 00:18:34,200 --> 00:18:40,440 Speaker 1: not buy in great question, really hard to answer, right 349 00:18:40,520 --> 00:18:45,280 Speaker 1: because if you think about how how real estate works, right, location, location, location, 350 00:18:45,920 --> 00:18:50,200 Speaker 1: and so there are macro plays. Certainly cities we would 351 00:18:50,200 --> 00:18:53,800 Speaker 1: want to not put as much capital into but real estate, 352 00:18:53,840 --> 00:18:54,880 Speaker 1: you have to remember, at the end of the day 353 00:18:54,880 --> 00:18:58,000 Speaker 1: is very much micro location, location location, So that's a 354 00:18:58,040 --> 00:19:01,200 Speaker 1: heart You can't you couldn't just black line an entire city, 355 00:19:01,240 --> 00:19:04,439 Speaker 1: but if you could, would would would you invest in 356 00:19:04,480 --> 00:19:07,520 Speaker 1: the dream mall in the swamps of Jersey? Probably not? 357 00:19:08,200 --> 00:19:10,680 Speaker 1: So it's a great it's a great it's a great point. Right, 358 00:19:10,680 --> 00:19:12,920 Speaker 1: And when you think about our thirty five tomorrow cities, 359 00:19:12,920 --> 00:19:15,480 Speaker 1: which you could go online and look at cities that 360 00:19:15,520 --> 00:19:17,040 Speaker 1: are not on their St. Louis is not on their 361 00:19:17,080 --> 00:19:20,520 Speaker 1: Detroit's not on their really tiny cities, Birmingham's on their 362 00:19:20,640 --> 00:19:24,000 Speaker 1: Why these are places that are losing population? I wouldn't 363 00:19:24,640 --> 00:19:28,800 Speaker 1: just not great robust demographic fundamentals. Well it's a Reagan. 364 00:19:28,960 --> 00:19:31,199 Speaker 1: You'll have to come back and elaborate a head of 365 00:19:31,240 --> 00:19:48,040 Speaker 1: research for Nevin real Estate. Thank you for being with us. Well, 366 00:19:48,040 --> 00:19:51,119 Speaker 1: we're just starting to get some earnings from the technology companies. 367 00:19:51,119 --> 00:19:54,119 Speaker 1: We had some disappointing numbers as some of the semiconductor 368 00:19:54,359 --> 00:19:56,359 Speaker 1: names earlier in the week. We had Amazon last night 369 00:19:56,400 --> 00:19:58,400 Speaker 1: disappointing numbers that stock was down as much as seven 370 00:19:58,520 --> 00:20:00,680 Speaker 1: or eight percent. It's only down one point repercent here 371 00:20:00,680 --> 00:20:02,720 Speaker 1: as the market rallies, they get a sense of kind 372 00:20:02,720 --> 00:20:04,600 Speaker 1: of what we should be looking forward to as it 373 00:20:04,640 --> 00:20:07,879 Speaker 1: relates to tech earnings. Welcome David Garretty, chief market strategist 374 00:20:07,960 --> 00:20:10,960 Speaker 1: for laid long Companies, also a partner at bt block, 375 00:20:11,040 --> 00:20:14,120 Speaker 1: joining us live here on our Bloomberg Interactive Broker studio. So, David, 376 00:20:14,200 --> 00:20:16,040 Speaker 1: let's start with Amazon. That last night kind of a 377 00:20:16,640 --> 00:20:19,680 Speaker 1: the obviously missed on earnings, A guidance on the profitability 378 00:20:19,760 --> 00:20:22,440 Speaker 1: side again a little bit light, I kind of, I guess, 379 00:20:22,520 --> 00:20:25,800 Speaker 1: raising concerns for some investors, like here we go again 380 00:20:25,920 --> 00:20:28,560 Speaker 1: back into investment spend. Um, what do you make out 381 00:20:28,560 --> 00:20:30,359 Speaker 1: of the Amazon numbers last night? Well, I think in 382 00:20:30,480 --> 00:20:34,040 Speaker 1: terms of what we're seeing, um, you know, not bad numbers. 383 00:20:34,080 --> 00:20:36,000 Speaker 1: If we look in terms of some of the high 384 00:20:36,080 --> 00:20:39,160 Speaker 1: growth areas for the company, I around cloud computing, Amazon 385 00:20:39,200 --> 00:20:42,080 Speaker 1: Web services, you know, numbers there were up fairly solid 386 00:20:42,160 --> 00:20:44,439 Speaker 1: thirty five percent a year every year. People who are 387 00:20:44,440 --> 00:20:46,399 Speaker 1: inclined to pick nits might say, well, that was a 388 00:20:46,440 --> 00:20:49,080 Speaker 1: deceleration from the year every year growth of thirty seven 389 00:20:49,440 --> 00:20:51,960 Speaker 1: the quarter before. But thirty five or thirty seven you 390 00:20:52,000 --> 00:20:55,360 Speaker 1: still got a fairly robust number, especially against the backdrop 391 00:20:55,400 --> 00:20:58,000 Speaker 1: we're we're looking about of the U. S economy being 392 00:20:58,040 --> 00:21:01,920 Speaker 1: in recession um relative their forward guidance. I mean, Amazon 393 00:21:02,000 --> 00:21:05,080 Speaker 1: has always sandbagged the numbers and and certainly things are 394 00:21:05,080 --> 00:21:07,120 Speaker 1: set up right now going into the fourth quarter where 395 00:21:07,160 --> 00:21:10,160 Speaker 1: the U. S. Consumer looks to be relatively okay, where 396 00:21:10,160 --> 00:21:13,240 Speaker 1: an unemployment levels are so you know, I think broader 397 00:21:13,320 --> 00:21:17,040 Speaker 1: numbers are for four percent industry wide retail increase in 398 00:21:17,040 --> 00:21:19,600 Speaker 1: in the fourth quarter. But obviously Amazon is getting going 399 00:21:19,680 --> 00:21:22,639 Speaker 1: to do a multiple of that, just given how how 400 00:21:22,680 --> 00:21:25,480 Speaker 1: much they've strengthened themselves and given their investments in the 401 00:21:25,560 --> 00:21:28,640 Speaker 1: quarter to strengthen their prime offering to deliver goods within 402 00:21:28,720 --> 00:21:31,160 Speaker 1: one day, and also the fact that they staffed up 403 00:21:31,200 --> 00:21:34,760 Speaker 1: here ahead of the holiday quarter. Let's talk about the clouds, 404 00:21:34,760 --> 00:21:37,679 Speaker 1: in particular cloud computing with respect to a w S, 405 00:21:37,760 --> 00:21:39,600 Speaker 1: because that was a big disappointment as well. And it's 406 00:21:39,640 --> 00:21:44,120 Speaker 1: amazing how significant a proportion of the profits of Amazon 407 00:21:44,240 --> 00:21:48,600 Speaker 1: come from AWS. Really, so what happened there In terms 408 00:21:48,640 --> 00:21:51,840 Speaker 1: of AWS, you certainly are seeing greater competition coming in 409 00:21:51,880 --> 00:21:56,240 Speaker 1: from Microsoft Azure Service. Now one might argue how these 410 00:21:56,240 --> 00:21:59,480 Speaker 1: companies put their numbers together as they report them in 411 00:21:59,600 --> 00:22:02,320 Speaker 1: terms of at aws. The revenue number was nine billion. 412 00:22:02,359 --> 00:22:05,480 Speaker 1: If you look at Microsoft's you know, cloud computing numbers, 413 00:22:05,480 --> 00:22:07,920 Speaker 1: they're saying they're doing eleven point two billion, which would 414 00:22:07,960 --> 00:22:11,199 Speaker 1: make them look larger. But even if you disaggregated the 415 00:22:11,200 --> 00:22:15,400 Speaker 1: Microsoft numbers just focused on Azure alone, Azure's growth rate 416 00:22:15,480 --> 00:22:18,640 Speaker 1: in the third quarter was six year every year, which 417 00:22:18,800 --> 00:22:22,200 Speaker 1: arguably is well ahead of thirty. So it looks as 418 00:22:22,200 --> 00:22:26,120 Speaker 1: if Amazon is developing competition also in terms of looking 419 00:22:26,119 --> 00:22:28,320 Speaker 1: at cloud computing. While we don't have the numbers now, 420 00:22:28,600 --> 00:22:30,719 Speaker 1: we will have them from Google after the clothes on 421 00:22:30,760 --> 00:22:32,960 Speaker 1: Monday as to how they've been doing in terms of 422 00:22:33,000 --> 00:22:37,160 Speaker 1: their own cloud offering. So clearly not necessarily a WS 423 00:22:37,600 --> 00:22:40,800 Speaker 1: Amazon Web services game right now. They may still be 424 00:22:40,840 --> 00:22:43,119 Speaker 1: the market leader, but they have others who are intent 425 00:22:43,240 --> 00:22:46,960 Speaker 1: on catching up. Earlier this week, we had Facebook CEO 426 00:22:47,000 --> 00:22:51,720 Speaker 1: Mark Zuckerberg appear before Congress for most of the day, 427 00:22:51,720 --> 00:22:54,640 Speaker 1: a kind of quite a grilling. Wonder what you thought 428 00:22:54,640 --> 00:22:58,560 Speaker 1: about A his performance and B. This is signal that 429 00:22:58,840 --> 00:23:02,320 Speaker 1: big U S tech is really under a new microscope 430 00:23:02,320 --> 00:23:05,879 Speaker 1: by the US regulators. Well, it may not necessarily be 431 00:23:06,000 --> 00:23:10,760 Speaker 1: tech widely, but it certainly is Facebook specifically. UM I 432 00:23:10,800 --> 00:23:14,840 Speaker 1: mean and one might argue that the speech that Zuckerberg 433 00:23:14,920 --> 00:23:18,200 Speaker 1: had given prior to the Capitol Hill testimony, the speech 434 00:23:18,200 --> 00:23:21,199 Speaker 1: he gave at Georgetown University, where he was trying to 435 00:23:21,240 --> 00:23:24,720 Speaker 1: say that Facebook and in terms of what's being advertised 436 00:23:24,760 --> 00:23:27,600 Speaker 1: on it, should be protected by the First Amendment rights. 437 00:23:28,080 --> 00:23:30,200 Speaker 1: But the fact of the matter is, if we deal 438 00:23:30,240 --> 00:23:34,879 Speaker 1: with other media organizations such as this, there are standards 439 00:23:34,880 --> 00:23:37,600 Speaker 1: that have to be observed in terms of the truthfulness 440 00:23:37,600 --> 00:23:41,320 Speaker 1: from a factual standpoint of the content that's being represented. 441 00:23:41,440 --> 00:23:44,480 Speaker 1: And to the extent that Zuckerberg refuses to draw a 442 00:23:44,560 --> 00:23:48,240 Speaker 1: line on making sure that either a there's factual truth 443 00:23:48,280 --> 00:23:52,359 Speaker 1: in the political advertising that's being put onto its platform, 444 00:23:52,520 --> 00:23:56,320 Speaker 1: or be just decides to step away from all political 445 00:23:56,400 --> 00:23:59,800 Speaker 1: advertising entirely because it's not really a very large part 446 00:23:59,800 --> 00:24:02,919 Speaker 1: of the business, So why sacrifice their integrity to do it? 447 00:24:03,200 --> 00:24:06,439 Speaker 1: You know, Mark Zuckerberg refuses to step away from a 448 00:24:06,520 --> 00:24:10,440 Speaker 1: position that has people saying that Facebook really is disinformation 449 00:24:10,520 --> 00:24:13,280 Speaker 1: for profit as a business model. Did you know that facts? 450 00:24:13,440 --> 00:24:15,240 Speaker 1: We were supposed to be doing facts all this time. 451 00:24:15,320 --> 00:24:17,840 Speaker 1: That's what I understand. You don't say, all right, I 452 00:24:17,920 --> 00:24:20,040 Speaker 1: want to shift gears a little bit and talk about Twitter, 453 00:24:20,119 --> 00:24:25,240 Speaker 1: because Twitter share is still down today after yesterday's nearly decline, 454 00:24:25,240 --> 00:24:29,000 Speaker 1: And I'm just wondering how bad you thought the results 455 00:24:29,040 --> 00:24:31,080 Speaker 1: were given the fact that they're proving that they can 456 00:24:31,119 --> 00:24:34,520 Speaker 1: actually increase their user base, which had been a question 457 00:24:34,600 --> 00:24:37,119 Speaker 1: for a while, right, Well, there's still going to be 458 00:24:37,160 --> 00:24:39,960 Speaker 1: a greater risk going into the forward twelve months around 459 00:24:40,040 --> 00:24:43,480 Speaker 1: the election cycle that you know, these users may very 460 00:24:43,480 --> 00:24:46,159 Speaker 1: well be bots. So I think that there's still some 461 00:24:46,240 --> 00:24:48,680 Speaker 1: skepticism that could be applied. You're not buying it. You 462 00:24:48,680 --> 00:24:50,760 Speaker 1: don't think that they actually have increased their user base 463 00:24:50,840 --> 00:24:54,120 Speaker 1: that much. Um, it's entirely possible that they may not. 464 00:24:54,320 --> 00:24:56,600 Speaker 1: And the other evidence for basing that on well, I 465 00:24:56,640 --> 00:24:58,639 Speaker 1: mean just in terms of how they've gone through and 466 00:24:58,680 --> 00:25:01,000 Speaker 1: had to purge their user ace in the past, and 467 00:25:01,000 --> 00:25:03,919 Speaker 1: that we're going into a point from a political cycle 468 00:25:04,000 --> 00:25:07,800 Speaker 1: where you're going to see um efforts ramped up. I 469 00:25:07,840 --> 00:25:10,159 Speaker 1: mean not to say that it's a Twitter issue, but 470 00:25:10,240 --> 00:25:12,480 Speaker 1: you know, Facebook themselves came out and said, oh, we've 471 00:25:12,520 --> 00:25:15,639 Speaker 1: just you know, shut down four campaigns on our platform. 472 00:25:15,880 --> 00:25:17,680 Speaker 1: Twitter do this in real time. I mean, they don't 473 00:25:17,680 --> 00:25:20,679 Speaker 1: wait until like one big sweet moment, do they. I 474 00:25:20,720 --> 00:25:23,159 Speaker 1: mean it remains to be seen. I would say that 475 00:25:23,200 --> 00:25:25,919 Speaker 1: the problems that you've got with Facebook, I mean, Twitter 476 00:25:26,040 --> 00:25:29,399 Speaker 1: is basically Facebook writt small. I mean, so I would 477 00:25:29,400 --> 00:25:31,000 Speaker 1: say that, you know, tech as a whole is not 478 00:25:31,000 --> 00:25:34,159 Speaker 1: going to be subject necessarily to scrutiny, although arguably one 479 00:25:34,240 --> 00:25:36,080 Speaker 1: might say that it's going to. But I would say 480 00:25:36,080 --> 00:25:38,159 Speaker 1: that the tip of the iceberg here really has to 481 00:25:38,160 --> 00:25:40,960 Speaker 1: do with the social media companies. And granted, Facebook this 482 00:25:41,040 --> 00:25:43,360 Speaker 1: year has been, you know, a phenomenal stock. I think 483 00:25:43,400 --> 00:25:47,280 Speaker 1: it's been up th percent. Uh, not a bad return, 484 00:25:48,040 --> 00:25:50,879 Speaker 1: but still, you know a company that arguably going forward 485 00:25:50,920 --> 00:25:54,080 Speaker 1: faces greater headwinds than not. The same would apply relative 486 00:25:54,119 --> 00:25:56,359 Speaker 1: to Twitter. Do you think these social media companies will 487 00:25:56,800 --> 00:25:59,879 Speaker 1: be more regulated by the US? Well, I think that 488 00:26:00,040 --> 00:26:03,280 Speaker 1: they need to meet the standards that other more traditional 489 00:26:03,320 --> 00:26:07,280 Speaker 1: media and news organizations have to meet. So from that standpoint, 490 00:26:07,520 --> 00:26:09,760 Speaker 1: time to time to get them out of the sandbox 491 00:26:09,800 --> 00:26:13,760 Speaker 1: and put them into the pool with everybody else. David Garritty, 492 00:26:13,840 --> 00:26:16,080 Speaker 1: thank you so much as always for being with us 493 00:26:16,440 --> 00:26:18,919 Speaker 1: and giving us your thoughts. Interesting to hear about the 494 00:26:18,960 --> 00:26:22,360 Speaker 1: idea of whether the user base really has increased all 495 00:26:22,400 --> 00:26:25,919 Speaker 1: that much, raising that issue ahead of the U s election. 496 00:26:26,000 --> 00:26:28,760 Speaker 1: David Garretty, chief market strategist for laid Law and Co. 497 00:26:28,960 --> 00:26:32,320 Speaker 1: And also a partner at bt Block, joining us here 498 00:26:32,320 --> 00:26:36,639 Speaker 1: in our interactive broker studios. Thanks for listening to the 499 00:26:36,640 --> 00:26:39,240 Speaker 1: Bloomberg P and L podcast. You can subscribe and listen 500 00:26:39,280 --> 00:26:42,600 Speaker 1: to interviews at Apple Podcasts or whatever podcast platform you prefer. 501 00:26:43,040 --> 00:26:45,800 Speaker 1: Paul Sweeney, I'm on Twitter at pt Sweeney. I'm Lisa 502 00:26:45,840 --> 00:26:48,440 Speaker 1: Abram Woyd's I'm on Twitter at Lisa Abram Woyds one. 503 00:26:48,680 --> 00:26:51,200 Speaker 1: Before the podcast, you can always catch us worldwide on 504 00:26:51,320 --> 00:26:52,119 Speaker 1: Bloomberg Radio