1 00:00:03,200 --> 00:00:07,760 Speaker 1: Broadcasting live to New York, Bloomberg to Washington, d C, 2 00:00:08,000 --> 00:00:12,600 Speaker 1: Bloomberg N one to Boston, Bloomberg twelve miners to San Francisco, 3 00:00:12,720 --> 00:00:16,720 Speaker 1: Bloomberg Ninez to the Country series at Channel one nine 4 00:00:17,079 --> 00:00:20,600 Speaker 1: and around the globe, the Bloomberg radio bust happened. Bloomberg 5 00:00:20,600 --> 00:00:25,280 Speaker 1: dot com. This is Bloomberg Surveillance and good morning. I'm 6 00:00:25,360 --> 00:00:28,280 Speaker 1: John Tucker along with Tom Keene and Michael McKee. The 7 00:00:28,400 --> 00:00:30,720 Speaker 1: opening Bell Report this morning being brought to you by 8 00:00:30,960 --> 00:00:36,080 Speaker 1: se I Imagine when investment operations predictively respond to regulatory change. 9 00:00:36,520 --> 00:00:39,920 Speaker 1: See how seis Global operating platform can be your catalyst 10 00:00:40,000 --> 00:00:44,720 Speaker 1: for business transformation at se i c dot com slash imagine. 11 00:00:45,080 --> 00:00:47,800 Speaker 1: And right out of the gate, we're seeing stocks headed 12 00:00:47,840 --> 00:00:50,600 Speaker 1: lower Bresit seems to be adding fuel to the fire 13 00:00:50,680 --> 00:00:54,520 Speaker 1: for a risk averse investors. Among the most actively I've 14 00:00:54,560 --> 00:00:58,280 Speaker 1: traded so far this morning, shares of zimmer BioMed Holdings. 15 00:00:58,400 --> 00:01:01,760 Speaker 1: They're down about two seven to two point seven the 16 00:01:02,080 --> 00:01:05,399 Speaker 1: price of secondary share sale at two percent discount to 17 00:01:05,520 --> 00:01:09,319 Speaker 1: its previous close. And Bai Do that's sinking in the 18 00:01:09,360 --> 00:01:12,440 Speaker 1: earlier going after cutting its repetive forecast for the second quarter, 19 00:01:13,000 --> 00:01:16,120 Speaker 1: down Jones Industrial Average right now, extending losses down twenty 20 00:01:16,200 --> 00:01:19,360 Speaker 1: six points. It's down about two tents at seventeen thousand, 21 00:01:19,360 --> 00:01:22,080 Speaker 1: seven hundred five the S and P five hundred three 22 00:01:22,120 --> 00:01:25,400 Speaker 1: points slowerly, that's down two tenths at then has that 23 00:01:25,480 --> 00:01:29,080 Speaker 1: composite index down the eight points right now, that's down 24 00:01:29,080 --> 00:01:32,600 Speaker 1: two tents at forty eight forty which at the markets 25 00:01:32,720 --> 00:01:35,800 Speaker 1: for you every fifteen minutes during the trading day right 26 00:01:35,800 --> 00:01:39,480 Speaker 1: here on Bloomberg Radio. Back to Mike and Tom John, 27 00:01:39,600 --> 00:01:43,080 Speaker 1: Thanks so much. We take great pride at Bloomberg Surveillance 28 00:01:43,080 --> 00:01:45,560 Speaker 1: and trying to bring you the smartest and best guests 29 00:01:45,560 --> 00:01:48,400 Speaker 1: on whatever the topic is. We had Jean Monster on 30 00:01:48,480 --> 00:01:51,000 Speaker 1: from Piper Jeffrey early this morning, and we are honored 31 00:01:51,000 --> 00:01:54,360 Speaker 1: now to bring you Mark Mahaney of URBC Capital Markets. 32 00:01:54,400 --> 00:01:56,760 Speaker 1: He comes on later because he lives on the West 33 00:01:56,800 --> 00:01:58,680 Speaker 1: coast and you know he just refuses to get up 34 00:01:58,720 --> 00:02:03,600 Speaker 1: before nine am. We welcome him this morning. Mark. I 35 00:02:03,640 --> 00:02:07,800 Speaker 1: want to congratulate you with your earned reputation. Andrew Ross 36 00:02:07,800 --> 00:02:11,480 Speaker 1: Sorkin featuring you today in his deal book article on 37 00:02:11,800 --> 00:02:15,160 Speaker 1: linked In. My first reaction when I saw this deal, 38 00:02:15,800 --> 00:02:18,359 Speaker 1: what was like the Tim Armstrong deal? For a o L. 39 00:02:18,960 --> 00:02:21,880 Speaker 1: This is the greatest bailout of a failed business plan 40 00:02:21,919 --> 00:02:25,080 Speaker 1: I've ever seen. I know LinkedIn is very positive, but 41 00:02:25,200 --> 00:02:29,160 Speaker 1: come on, the stock cratered and as you nailed in 42 00:02:29,240 --> 00:02:32,440 Speaker 1: your research, they had to do this deal or they 43 00:02:32,440 --> 00:02:36,679 Speaker 1: would have lost their key people. Right. Oh, well, I 44 00:02:36,680 --> 00:02:38,919 Speaker 1: don't want to overstate it. Look, I we thought that 45 00:02:39,240 --> 00:02:42,680 Speaker 1: LinkedIn was a good asset. If you want to buy 46 00:02:42,720 --> 00:02:47,520 Speaker 1: a online recruitment asset, there's no asset better than LinkedIn. Uh. 47 00:02:48,000 --> 00:02:50,880 Speaker 1: They the question is whether they could run this business 48 00:02:51,200 --> 00:02:54,840 Speaker 1: consistently profitably on a gap basis. We think they could. 49 00:02:54,880 --> 00:02:58,560 Speaker 1: The gross margins are high enough here that over time, 50 00:02:58,680 --> 00:03:01,080 Speaker 1: as you've gotten leverage and you'd been able to reduce 51 00:03:01,160 --> 00:03:03,640 Speaker 1: costs spending on marketing and R and D, there should 52 00:03:03,639 --> 00:03:05,760 Speaker 1: have been nice profits getting ready from this business. That 53 00:03:06,160 --> 00:03:08,080 Speaker 1: not yet proven that yet, but we think that's what 54 00:03:08,160 --> 00:03:09,960 Speaker 1: was in the future. But Mark, you've lived this. The 55 00:03:10,080 --> 00:03:13,079 Speaker 1: fact is they played by a different rule book. And 56 00:03:13,120 --> 00:03:15,880 Speaker 1: I'm gonna call it within a general phrase Silicon Valley. 57 00:03:16,160 --> 00:03:19,160 Speaker 1: And they answer is the issue stock issue stock. Issue 58 00:03:19,200 --> 00:03:23,079 Speaker 1: stock is a compensation alternative, which is great if the 59 00:03:23,160 --> 00:03:29,919 Speaker 1: stock works out, and if it doesn't, the game's over right. Well, 60 00:03:30,000 --> 00:03:32,760 Speaker 1: I'm not sure I'd be that draconian about it. Look, 61 00:03:32,760 --> 00:03:36,120 Speaker 1: it's a highly competitive employment market out here in the 62 00:03:36,200 --> 00:03:38,680 Speaker 1: Valley and other many other areas too, but it's particularly 63 00:03:38,720 --> 00:03:43,320 Speaker 1: acute in Silicon Valley, and there's a requirement or a 64 00:03:43,360 --> 00:03:46,360 Speaker 1: belief that one should give out compence to stock based 65 00:03:46,360 --> 00:03:49,520 Speaker 1: competition broadly to almost all employees. So that's the ethos, 66 00:03:49,560 --> 00:03:52,240 Speaker 1: that's the way things are run in many of these companies. 67 00:03:52,400 --> 00:03:54,360 Speaker 1: And some companies are right up front. They all they 68 00:03:54,400 --> 00:03:56,720 Speaker 1: all disclose how much stock based comp they give out. 69 00:03:56,840 --> 00:03:59,200 Speaker 1: Whether investors want to treat as a real expense or not, 70 00:03:59,320 --> 00:04:01,480 Speaker 1: it's up to them. The companies give you the disclosure 71 00:04:01,480 --> 00:04:06,240 Speaker 1: to go either way. What is the business plan going 72 00:04:06,280 --> 00:04:09,440 Speaker 1: forward here? How does Microsoft make money out of this? 73 00:04:11,400 --> 00:04:13,960 Speaker 1: The advantage that Microsoft has is this is an asset 74 00:04:14,040 --> 00:04:16,400 Speaker 1: with a couple of hundred million, to be specific, four 75 00:04:16,400 --> 00:04:20,599 Speaker 1: injured million monthly average users that's got a relatively relatively 76 00:04:20,600 --> 00:04:24,440 Speaker 1: diverse business streams. So they have corporations, they're about forty 77 00:04:24,520 --> 00:04:26,760 Speaker 1: five thou companies in the world that pay them about 78 00:04:26,800 --> 00:04:29,400 Speaker 1: three thousand dollars a month to be able to tap 79 00:04:29,520 --> 00:04:32,040 Speaker 1: into their resume pool, to be able to tap into 80 00:04:32,080 --> 00:04:35,360 Speaker 1: all of the passive and active job candidates that are 81 00:04:35,400 --> 00:04:37,560 Speaker 1: on the LinkedIn network, and then addition to that, they 82 00:04:37,880 --> 00:04:41,840 Speaker 1: sell advertising against that user base. And then finally they 83 00:04:41,839 --> 00:04:44,000 Speaker 1: have got a couple of subscription products that are particularly 84 00:04:44,040 --> 00:04:47,320 Speaker 1: good for people in sales. So the question is whether 85 00:04:47,600 --> 00:04:51,120 Speaker 1: Microsoft can do anything to really accelerate that growth. They 86 00:04:51,160 --> 00:04:54,520 Speaker 1: both have very large enterprise presences, Microsoft a lot bigger 87 00:04:54,520 --> 00:04:59,599 Speaker 1: than than than LinkedIn. Go ahead, Well, it sounds like 88 00:04:59,640 --> 00:05:03,920 Speaker 1: to me basically they bought the the modern day version 89 00:05:03,960 --> 00:05:09,320 Speaker 1: of a mailing list. You know. The the interesting comment 90 00:05:09,400 --> 00:05:13,440 Speaker 1: that was made by Microsoft executives on the call yesterday 91 00:05:13,560 --> 00:05:17,280 Speaker 1: was that there's very little overlap between these businesses in 92 00:05:17,279 --> 00:05:20,120 Speaker 1: particularly and recruitment business. So the open question we had is, 93 00:05:20,160 --> 00:05:22,080 Speaker 1: you know what, why would Microsoft really want to get 94 00:05:22,080 --> 00:05:25,400 Speaker 1: into the recruitment business. But from a LinkedIn shareholder's perspective, 95 00:05:25,480 --> 00:05:28,080 Speaker 1: this is great. Uh, somebody just brought you back to 96 00:05:28,160 --> 00:05:29,920 Speaker 1: par where you were at the year you just got 97 00:05:29,960 --> 00:05:33,880 Speaker 1: at premium mark. I showed that chart this morning where 98 00:05:34,000 --> 00:05:35,839 Speaker 1: I love how you put that. That's brilliant how it 99 00:05:35,839 --> 00:05:39,440 Speaker 1: brought them back to part this morning, you know, without 100 00:05:39,480 --> 00:05:43,040 Speaker 1: getting you into trouble with your sources. Was everybody on 101 00:05:43,160 --> 00:05:46,320 Speaker 1: board this at Microsoft? Or was this like actually like 102 00:05:46,360 --> 00:05:49,080 Speaker 1: a Bomber kind of debate where Nadela said, we're gonna 103 00:05:49,120 --> 00:05:52,360 Speaker 1: do this, let's go. How did that work out at Microsoft? 104 00:05:52,400 --> 00:05:55,080 Speaker 1: Any idea? No, I'm sorry, we don't have much on that, 105 00:05:55,680 --> 00:05:59,000 Speaker 1: any particular sources on that, and I don't cover a Microsoft. 106 00:05:59,080 --> 00:06:01,039 Speaker 1: That's fair. I just trying to get some gossip in 107 00:06:01,040 --> 00:06:04,320 Speaker 1: here to keep the conversation going. What does this mean 108 00:06:04,400 --> 00:06:07,279 Speaker 1: for the rest of your world? The mark Many world? 109 00:06:07,320 --> 00:06:09,240 Speaker 1: Does everybody I mean, I mean Twitter, I can't, I 110 00:06:09,279 --> 00:06:14,200 Speaker 1: mean Munster was was respectfully derogatory of Twitter on this. 111 00:06:14,400 --> 00:06:17,839 Speaker 1: What would you suggest that means for Twitter and the others? Well, 112 00:06:17,880 --> 00:06:20,200 Speaker 1: you know that's the right action question to ask, which 113 00:06:20,240 --> 00:06:22,640 Speaker 1: is this is one of the largest deals. I think 114 00:06:22,640 --> 00:06:24,720 Speaker 1: it's the single largest deal, frankly, that we've seen in 115 00:06:24,760 --> 00:06:28,159 Speaker 1: the uh, the internet space. There's uh, we saw a 116 00:06:28,160 --> 00:06:31,000 Speaker 1: couple of stocks pop on this news yesterday. Twitter was 117 00:06:31,080 --> 00:06:33,440 Speaker 1: one some of the smaller cap names like YELP. I 118 00:06:33,480 --> 00:06:35,360 Speaker 1: don't think there's any doubt there should be any doubt 119 00:06:35,400 --> 00:06:37,360 Speaker 1: that we're going to see more M and A activity 120 00:06:37,360 --> 00:06:40,000 Speaker 1: pick up in the Internet space. Why because there's good 121 00:06:40,040 --> 00:06:43,719 Speaker 1: consistent secular growth. UH. There are some good assets in 122 00:06:43,760 --> 00:06:46,479 Speaker 1: the space. Clearly, there are some of these business models 123 00:06:46,520 --> 00:06:49,120 Speaker 1: actually do generate positive free cash flow. Lincoln was one 124 00:06:49,200 --> 00:06:52,680 Speaker 1: of those. UH. And you've got strategic acquirers that are 125 00:06:52,720 --> 00:06:55,400 Speaker 1: bigger and bigger and have more cash and market cap. 126 00:06:55,600 --> 00:06:58,280 Speaker 1: And not just Microsoft, but you've got Google and Facebook, 127 00:06:58,400 --> 00:07:00,360 Speaker 1: and you've got the Ali Bobs in the ten sense 128 00:07:00,400 --> 00:07:03,000 Speaker 1: of the world. UH. And the people are also looking 129 00:07:03,000 --> 00:07:05,360 Speaker 1: for exits like a Yahoo. So M and A has 130 00:07:05,360 --> 00:07:07,680 Speaker 1: been picking up over the last year or two. Expect 131 00:07:07,720 --> 00:07:10,200 Speaker 1: even more of it. I don't think that Twitter is 132 00:07:10,240 --> 00:07:12,640 Speaker 1: a likely take out candidate that are our guests is. 133 00:07:12,680 --> 00:07:15,200 Speaker 1: I'm not sure it's a it's a it's a mixed 134 00:07:15,200 --> 00:07:17,720 Speaker 1: asset right now. It's not a stock that we would recommend. 135 00:07:17,960 --> 00:07:19,920 Speaker 1: There too many people in there trying to buy it 136 00:07:20,000 --> 00:07:22,440 Speaker 1: for the takeout or trying to buy the stock because 137 00:07:22,480 --> 00:07:23,920 Speaker 1: on the belief that there's a takeout. I think that's 138 00:07:23,920 --> 00:07:26,880 Speaker 1: an extremely risky way to invest. I would not recommend 139 00:07:26,880 --> 00:07:29,320 Speaker 1: doing that. But I do think overall we'll see heightened 140 00:07:29,360 --> 00:07:32,320 Speaker 1: the M and A speculation, particularly in the ad the 141 00:07:32,360 --> 00:07:35,600 Speaker 1: advertising space and UH, and then maybe in some of 142 00:07:35,600 --> 00:07:38,320 Speaker 1: the other verticals, but the advertising vertical, the ad tex 143 00:07:38,360 --> 00:07:42,120 Speaker 1: space strikes me as the best for consolidation. Is there 144 00:07:42,120 --> 00:07:45,480 Speaker 1: a possibility of another bitter emerging for LinkedIn if it's 145 00:07:45,480 --> 00:07:49,560 Speaker 1: such a great property to have. It looks like there 146 00:07:49,760 --> 00:07:52,400 Speaker 1: was Uh, it looks like there was another bidder in 147 00:07:52,440 --> 00:07:54,960 Speaker 1: the process, and now all of this will come out 148 00:07:55,080 --> 00:07:59,280 Speaker 1: in the regulatory filings. I'd find it very surprising that 149 00:07:59,360 --> 00:08:01,680 Speaker 1: a deal like this wasn't shopped around at least to 150 00:08:01,720 --> 00:08:05,320 Speaker 1: a few other potential strategic buyers. Maybe that would have 151 00:08:05,360 --> 00:08:07,960 Speaker 1: been an oracle, Maybe that would have been a salesforce 152 00:08:08,080 --> 00:08:12,160 Speaker 1: dot com. I'd be surprised if bankers working on behalf 153 00:08:12,160 --> 00:08:15,560 Speaker 1: of LinkedIn for their produciary responsibilities wouldn't have at least 154 00:08:15,560 --> 00:08:18,160 Speaker 1: shoped it around. But we'll get those details and filings. 155 00:08:18,200 --> 00:08:20,560 Speaker 1: I assume that there were other bidders, but nobody is 156 00:08:20,600 --> 00:08:24,120 Speaker 1: addressed as Microsoft our fiduciary responsibilities to come back with. 157 00:08:24,160 --> 00:08:27,560 Speaker 1: Mark Mahny of RBC Capital Markets. I can't say enough, 158 00:08:27,600 --> 00:08:31,200 Speaker 1: folks about the team's surveillance that we have this news 159 00:08:31,200 --> 00:08:34,760 Speaker 1: breaking yesterday, and I really want to congratulate Rachel Worstman, 160 00:08:34,840 --> 00:08:37,400 Speaker 1: who did allousy job. Mike, there's somebody's name we gotta 161 00:08:37,480 --> 00:08:40,200 Speaker 1: leave out. I mean Boden was okay, he had as 162 00:08:40,400 --> 00:08:44,120 Speaker 1: like a fifty fifty day I think it was. And yeah, well, 163 00:08:44,120 --> 00:08:46,320 Speaker 1: our team is just awesome. They have We have Mark 164 00:08:46,400 --> 00:08:50,160 Speaker 1: Mahaney and Jane Munster on on LinkedIn and Microsoft. Shannon 165 00:08:50,160 --> 00:08:53,560 Speaker 1: Cross joining us yesterday spur of the moment. We greatly 166 00:08:53,600 --> 00:08:56,959 Speaker 1: appreciate these street experts for their perspective, and we'll come 167 00:08:56,960 --> 00:09:01,520 Speaker 1: back with Mark Mahaney with more on is most interesting 168 00:09:01,640 --> 00:09:05,480 Speaker 1: world Lincoln trading like four times even done. I'm kidding, 169 00:09:05,880 --> 00:09:09,000 Speaker 1: but it's ritually priced, to say the least. The vix 170 00:09:10,559 --> 00:09:17,800 Speaker 1: point zero nine the tape better this morning, This hour 171 00:09:17,840 --> 00:09:20,040 Speaker 1: of surveillance brought you by Westchester subar up. Is it 172 00:09:20,120 --> 00:09:22,760 Speaker 1: Westchester suber out dot com. Here's like a bar with 173 00:09:22,840 --> 00:09:26,320 Speaker 1: news headlines. My Tom, thank you very much. Today's presidential 174 00:09:26,360 --> 00:09:29,959 Speaker 1: primary in Washington, d C. Won't have much impact, but 175 00:09:30,040 --> 00:09:33,960 Speaker 1: the meeting between presumptive nominee Hillary Clinton and Bernie Sanders 176 00:09:34,000 --> 00:09:37,240 Speaker 1: tonight could mean a lot. The DC primary is the 177 00:09:37,280 --> 00:09:39,840 Speaker 1: last one of the Democratic season. The face to face 178 00:09:39,920 --> 00:09:43,520 Speaker 1: meeting marks a transition and the lengthy primary fight between 179 00:09:43,520 --> 00:09:46,920 Speaker 1: the two rivals. Sanders says his meeting with Clinton will 180 00:09:46,960 --> 00:09:50,560 Speaker 1: help him determine how committed she'll be to his policy issues. 181 00:09:51,080 --> 00:09:54,880 Speaker 1: Homeland Security Secretary j Johnson says as of now, there 182 00:09:54,920 --> 00:09:58,000 Speaker 1: are no known accomplices and Sunday's mass shooting at a 183 00:09:58,040 --> 00:10:02,040 Speaker 1: gay nightclub in Orlando, Florida. Johnson, speaking to ABC News, 184 00:10:02,360 --> 00:10:04,920 Speaker 1: was asked about the possibility that this is a lone 185 00:10:04,920 --> 00:10:10,320 Speaker 1: wolf terror attack in this environment of homegrown violent extremism, 186 00:10:10,400 --> 00:10:12,839 Speaker 1: and that's what Orlando is looking more and more like. 187 00:10:13,559 --> 00:10:15,520 Speaker 1: There's a role for the public to play. There's a 188 00:10:15,640 --> 00:10:18,760 Speaker 1: role for us to play in building bridges with American 189 00:10:18,840 --> 00:10:21,280 Speaker 1: Muslim communities. That's what we've been doing and we're gonna 190 00:10:21,360 --> 00:10:24,440 Speaker 1: keep doing that. US air safety experts have joined the 191 00:10:24,440 --> 00:10:27,800 Speaker 1: investigation into the crash of egypt Are flight eight oh four. 192 00:10:28,320 --> 00:10:30,600 Speaker 1: Cruise are trying to find the critical black boxes from 193 00:10:30,600 --> 00:10:33,680 Speaker 1: the Airbus A three. The flight, with sixty six people 194 00:10:33,760 --> 00:10:35,640 Speaker 1: on board, was heading from Paris to Cairo when it 195 00:10:35,720 --> 00:10:39,600 Speaker 1: crashed into the Meta Mediterranean Sea. Global News twenty four 196 00:10:39,640 --> 00:10:42,679 Speaker 1: hours a day, powered by our twenty four d journalists. 197 00:10:42,679 --> 00:10:45,360 Speaker 1: I'm Michael Barr, Tom and Michael. Thanks so much. At 198 00:10:45,400 --> 00:10:48,000 Speaker 1: the end one of six ten, definitely a relief in 199 00:10:48,040 --> 00:10:50,240 Speaker 1: the market now from where we were at five am 200 00:10:50,280 --> 00:10:54,280 Speaker 1: and seven a m. This morning. Tomorrow one pm. Scarlet Food, 201 00:10:54,679 --> 00:10:57,880 Speaker 1: Michael McKee and myself with your fed coverage. Good morning, 202 00:11:00,880 --> 00:11:02,880 Speaker 1: Bloto merg of aialance. Brought you by ancient block and 203 00:11:02,920 --> 00:11:05,400 Speaker 1: ancient named avast Accounty firm in North America for the 204 00:11:05,440 --> 00:11:17,280 Speaker 1: sixth year in a row, by edge Week dot Com, 205 00:11:17,400 --> 00:11:20,760 Speaker 1: Global Business News twenty four hours a day at Bloomberg 206 00:11:20,840 --> 00:11:23,920 Speaker 1: dot com, the Radio Plus mobile app and on your radio. 207 00:11:24,200 --> 00:11:29,560 Speaker 1: This is a Bloomberg Business flashund Wall Street. This Bloomberg 208 00:11:29,679 --> 00:11:32,400 Speaker 1: Business Flash being brought to you by cbo Vix cbo 209 00:11:32,440 --> 00:11:36,240 Speaker 1: E Vix options and futures Volatility can be harnessed with 210 00:11:36,280 --> 00:11:40,840 Speaker 1: cboe Vix options in futures disclosures. Learn more at cbo 211 00:11:40,880 --> 00:11:45,240 Speaker 1: e dot com, Slash Powerful Outcomes Vix. I'll stocks right 212 00:11:45,280 --> 00:11:48,839 Speaker 1: now fluctuating between gains and losses. The SMP five hundred 213 00:11:48,920 --> 00:11:52,440 Speaker 1: near a three way flow. There's a growing uncertainty about 214 00:11:52,440 --> 00:11:56,040 Speaker 1: the UK's future and the European Union. Investors also awaiting 215 00:11:56,240 --> 00:12:00,800 Speaker 1: tomorrow's Februal reserve announcement. We did get some Nonomic data today, 216 00:12:00,800 --> 00:12:04,840 Speaker 1: report out today showing retail sales rising more than forecast 217 00:12:05,280 --> 00:12:09,400 Speaker 1: in May. Among the most actively traded right now Zimmer Biometrics. 218 00:12:09,559 --> 00:12:14,200 Speaker 1: It's down two points seven percent, enterprising a secondary share 219 00:12:14,200 --> 00:12:17,800 Speaker 1: of sale at two percent, a discount to its previous close. 220 00:12:18,120 --> 00:12:21,040 Speaker 1: A second most actively traded shares of Twitter or up 221 00:12:21,080 --> 00:12:24,040 Speaker 1: at two point one percent. That's in sympathy with the 222 00:12:24,080 --> 00:12:27,120 Speaker 1: linked In, which of course is being brought out by Microsoft. 223 00:12:27,559 --> 00:12:33,200 Speaker 1: LinkedIn still below the premium share price at one twenty eight, 224 00:12:33,240 --> 00:12:37,760 Speaker 1: just up fractionally this morning, and the SMP five hundred 225 00:12:38,200 --> 00:12:41,960 Speaker 1: is up less than a point nine down Jones Industrial 226 00:12:41,960 --> 00:12:44,200 Speaker 1: I wish still down that down twenty one points at 227 00:12:44,240 --> 00:12:48,640 Speaker 1: seventeen thousand, seven hundred ten. The NASA Composite Index is 228 00:12:48,720 --> 00:12:50,960 Speaker 1: up at eight points. That's up two tents of percent 229 00:12:51,320 --> 00:12:54,560 Speaker 1: at forty eight fifty six. And we check the markets 230 00:12:54,600 --> 00:12:57,720 Speaker 1: for you every fifteen minutes during the trading day right 231 00:12:57,720 --> 00:13:03,320 Speaker 1: here on Bloomberg Effective michaelin top, thanks so much, John Tucker. 232 00:13:03,360 --> 00:13:05,839 Speaker 1: I'm gonna do something I rarely do, Mark Mahaney with us, 233 00:13:06,320 --> 00:13:09,199 Speaker 1: we've been focused on Microsoft and linked In. Mike, Mark, 234 00:13:09,200 --> 00:13:11,800 Speaker 1: I'm gonna give you an open question, giving your coverage, 235 00:13:12,320 --> 00:13:17,360 Speaker 1: which stock is most intriguing right now within the churn 236 00:13:17,559 --> 00:13:23,480 Speaker 1: of technology, which companies the biggest potential payoff if you will, 237 00:13:23,559 --> 00:13:29,760 Speaker 1: for investors investors looking for new stocks um to buy 238 00:13:29,880 --> 00:13:33,240 Speaker 1: in a consumer internet space, we think we've got a 239 00:13:33,240 --> 00:13:35,880 Speaker 1: couple of options. I think the best one is actually 240 00:13:36,000 --> 00:13:39,559 Speaker 1: Netflix right now. The truth is that the major Internet 241 00:13:39,600 --> 00:13:42,199 Speaker 1: stocks are all pretty much at all time highs, whether 242 00:13:42,240 --> 00:13:45,880 Speaker 1: that's Amazon, Google, and Facebook. Those are the three biggest 243 00:13:45,960 --> 00:13:48,760 Speaker 1: large cap names, and they're all very close to their 244 00:13:48,760 --> 00:13:51,760 Speaker 1: all time high. So there's nothing dramatically for sale. Netflix 245 00:13:51,840 --> 00:13:54,360 Speaker 1: is intriguing because we do view it as something like 246 00:13:54,480 --> 00:13:56,960 Speaker 1: for sale and this chance of the stock to double 247 00:13:57,000 --> 00:13:58,880 Speaker 1: over the next three years. I mean, I want to 248 00:13:58,880 --> 00:14:03,760 Speaker 1: make clear folks. Mr Mahaney had an outperform on Netflix 249 00:14:04,200 --> 00:14:08,440 Speaker 1: at thirty three zero. I'm sure it went down from there. 250 00:14:08,520 --> 00:14:11,679 Speaker 1: You know, you've you've you've had your rough and tuble period. 251 00:14:11,960 --> 00:14:19,480 Speaker 1: How do you sustain and outperform it one? Uh, let's see. 252 00:14:19,480 --> 00:14:23,920 Speaker 1: We know we try to be relatively um consistent with 253 00:14:24,040 --> 00:14:27,400 Speaker 1: these names. These can be secular growth winners that can 254 00:14:27,440 --> 00:14:29,920 Speaker 1: play out for a substantial period of time. Too simple. 255 00:14:29,960 --> 00:14:34,440 Speaker 1: Data points Toogle has generated online ad revenue growth for 256 00:14:34,520 --> 00:14:37,440 Speaker 1: seventeen straight quarters. Despite the obvious fact that's gotten bigger 257 00:14:37,480 --> 00:14:41,520 Speaker 1: and bigger. Amazon's retail growth has been for fourteen straight quarters, 258 00:14:41,600 --> 00:14:44,280 Speaker 1: despite the fact that it's gotten bigger and bigger, and 259 00:14:44,320 --> 00:14:46,800 Speaker 1: we see these names that have still got somewhat low 260 00:14:46,880 --> 00:14:49,760 Speaker 1: penetration rates. Maybe ten percent of retail sales are online 261 00:14:49,800 --> 00:14:51,880 Speaker 1: for an Amazon, so you can kind of count on 262 00:14:52,040 --> 00:14:54,160 Speaker 1: if they execute, well, that's the big if. But they've 263 00:14:54,160 --> 00:14:56,120 Speaker 1: got a pretty good track record now that they can 264 00:14:56,160 --> 00:14:58,920 Speaker 1: sustain these premium growth rates for longer than most people 265 00:14:59,000 --> 00:15:02,320 Speaker 1: realize at That's very much the case with Netflix, which 266 00:15:02,360 --> 00:15:05,160 Speaker 1: is just starting to tap into about half of the 267 00:15:05,280 --> 00:15:08,880 Speaker 1: global broadband markets, and as those markets build out for Netflix, 268 00:15:08,880 --> 00:15:11,320 Speaker 1: you're going to have sustained premium growth there for uh 269 00:15:11,680 --> 00:15:14,280 Speaker 1: for quite a while. There's mere term controversy on the 270 00:15:14,320 --> 00:15:16,920 Speaker 1: stock that creates the opportunity with this is it's still 271 00:15:16,920 --> 00:15:20,280 Speaker 1: in correction mode, kind of like Amazon was earlier this year, 272 00:15:20,320 --> 00:15:23,600 Speaker 1: like Google was last year, UH and frankly like um 273 00:15:23,880 --> 00:15:26,680 Speaker 1: like LinkedIn was now linked Lincoln got a great you 274 00:15:26,720 --> 00:15:29,160 Speaker 1: know pull out, you know, bailout was the word you 275 00:15:29,280 --> 00:15:32,120 Speaker 1: used in terms of the Microsoft deal. Nonetheless, we think 276 00:15:32,160 --> 00:15:35,760 Speaker 1: fundamentally Lincoln would have worked higher anyway as fundamentals improved 277 00:15:35,840 --> 00:15:38,640 Speaker 1: by more than the market had feared. What are happened 278 00:15:38,640 --> 00:15:41,400 Speaker 1: to the story of all the people like Amazon who 279 00:15:41,480 --> 00:15:45,320 Speaker 1: We're going to go into the conflict, you know, business 280 00:15:46,120 --> 00:15:49,080 Speaker 1: up against Netflix and produce their own streaming video and 281 00:15:49,160 --> 00:15:53,120 Speaker 1: Netflix was going to be in trouble. Mike, That's probably 282 00:15:53,160 --> 00:15:56,800 Speaker 1: the single biggest pushback I get on our Netflix by recommendation. 283 00:15:56,920 --> 00:15:59,960 Speaker 1: It's competition, particularly from Amazon, maybe a little bit from 284 00:16:00,040 --> 00:16:04,600 Speaker 1: Hulu HBO. I think what we're finding over time is 285 00:16:04,640 --> 00:16:08,120 Speaker 1: that there's actually less competition for Netflix, especially if you 286 00:16:08,200 --> 00:16:11,520 Speaker 1: leave North America. Uh in the in the US market, 287 00:16:11,560 --> 00:16:14,160 Speaker 1: Netflix has in that we think the most competitive market 288 00:16:14,240 --> 00:16:20,040 Speaker 1: is about the broadband households are subscribers. Overseas, competition is less, 289 00:16:20,040 --> 00:16:22,720 Speaker 1: and we think you're gonna see a real dramatic ramp 290 00:16:22,960 --> 00:16:24,560 Speaker 1: as they've already been able to show in a couple 291 00:16:24,600 --> 00:16:27,280 Speaker 1: of markets, like the easier ones like the UK and Canada, 292 00:16:27,560 --> 00:16:30,800 Speaker 1: but even in Latin America, even in countries as diverses 293 00:16:30,800 --> 00:16:33,600 Speaker 1: Germany and France and southern Europe, you're starting to see 294 00:16:33,600 --> 00:16:37,840 Speaker 1: a real takeoff in their adoption within broadband households. They're 295 00:16:37,840 --> 00:16:40,800 Speaker 1: the best playoff of the growth in internet TV, and 296 00:16:40,840 --> 00:16:43,960 Speaker 1: they've done a phenomenally good job. We think over the 297 00:16:44,040 --> 00:16:46,960 Speaker 1: last three years, how do you make Amazon go down 298 00:16:47,040 --> 00:16:50,520 Speaker 1: so people that missed it can possibly clan on board. 299 00:16:51,200 --> 00:16:53,840 Speaker 1: The answer is it's not, is it? I Mike, I 300 00:16:53,840 --> 00:16:56,680 Speaker 1: have a long hallway where I live, in the number 301 00:16:56,720 --> 00:16:59,920 Speaker 1: of Amazon boxes in that all way. It's just stunt 302 00:17:00,800 --> 00:17:05,800 Speaker 1: I mean, Mark Mahaney, Does it ever retreat? Sure? Absolutely? 303 00:17:05,880 --> 00:17:07,760 Speaker 1: You know. Um it's easy to look at it now 304 00:17:07,880 --> 00:17:09,560 Speaker 1: and all time high and say we won't see it 305 00:17:09,560 --> 00:17:11,399 Speaker 1: correction again. But you and I both know that that 306 00:17:11,440 --> 00:17:14,480 Speaker 1: will happen. It seems like it happens like clockwork. If 307 00:17:14,520 --> 00:17:17,080 Speaker 1: your clock is you know, thuring sixty five day clock. 308 00:17:17,359 --> 00:17:19,560 Speaker 1: So I wouldn't be at all surprised to see another 309 00:17:19,560 --> 00:17:24,200 Speaker 1: correction in Amazon. Expectations are super high, sentiments very bullish. 310 00:17:24,400 --> 00:17:26,280 Speaker 1: You know, this is more of a small buy for 311 00:17:26,400 --> 00:17:29,400 Speaker 1: us here. The biggest weakness is probably this cloud computing 312 00:17:29,400 --> 00:17:33,120 Speaker 1: business that they have, where there are some very substantial competitors. 313 00:17:33,119 --> 00:17:35,600 Speaker 1: Google and Microsoft come to mind. And if you had 314 00:17:35,600 --> 00:17:39,520 Speaker 1: another price war breakout, price cloud war breakout, that would 315 00:17:39,520 --> 00:17:41,840 Speaker 1: be a negative catalyst for Amazon. We don't see it, 316 00:17:41,880 --> 00:17:43,520 Speaker 1: but that would be the factor that could most easily 317 00:17:43,520 --> 00:17:45,240 Speaker 1: take it down. And I'm glad you mentioned this and 318 00:17:45,400 --> 00:17:49,000 Speaker 1: let me bring it up today. What is the thing 319 00:17:49,080 --> 00:17:52,280 Speaker 1: we most get wrong when we talk about the cloud? 320 00:17:52,520 --> 00:17:55,760 Speaker 1: You talk about it with authority. Munster talks about it 321 00:17:55,800 --> 00:17:58,359 Speaker 1: with authority. Jennifer Morgan was on from s A P. 322 00:17:58,560 --> 00:18:01,919 Speaker 1: North America. She's her angle on it. I feel like 323 00:18:01,960 --> 00:18:04,640 Speaker 1: an ignoramus when I talk about it. What's the number 324 00:18:04,640 --> 00:18:08,439 Speaker 1: one thing I get wrong? I think the single biggest 325 00:18:08,520 --> 00:18:11,879 Speaker 1: miss misperception on the cloud is just how early stage 326 00:18:12,160 --> 00:18:15,200 Speaker 1: or how early days we are. We think that perhaps 327 00:18:15,320 --> 00:18:19,159 Speaker 1: ten of work processes that could be migrated to the 328 00:18:19,160 --> 00:18:23,200 Speaker 1: cloud are there, which tells you that, um, even though 329 00:18:23,200 --> 00:18:26,960 Speaker 1: the combined industry maybe if you look at Amazon, Google 330 00:18:27,000 --> 00:18:30,200 Speaker 1: and Microsoft is kind of ten the fifteen billion mas 331 00:18:30,680 --> 00:18:33,440 Speaker 1: that and it's growing. Uh you know amongst those three 332 00:18:33,480 --> 00:18:37,359 Speaker 1: players year over year, that growth rate could sustain for 333 00:18:37,560 --> 00:18:40,760 Speaker 1: five to even ten years given how low the penetration 334 00:18:40,880 --> 00:18:43,200 Speaker 1: of the cloud is. That that's the single biggest mistake 335 00:18:43,240 --> 00:18:47,080 Speaker 1: we think investors are making. Is there anybody out there 336 00:18:47,119 --> 00:18:50,760 Speaker 1: that you have your eye on now that maybe Wall 337 00:18:50,760 --> 00:18:53,800 Speaker 1: Street doesn't that is going to be the next linked 338 00:18:53,840 --> 00:18:57,600 Speaker 1: In or Uh, Netflix is a little farther ahead and 339 00:18:57,680 --> 00:19:02,600 Speaker 1: linked in, but is going to be a target And 340 00:19:02,640 --> 00:19:05,119 Speaker 1: I don't you know, there's a lot of small companies 341 00:19:05,119 --> 00:19:07,560 Speaker 1: get swallowed up by the big companies, but somebody who's 342 00:19:07,560 --> 00:19:10,800 Speaker 1: going to become a household name and then maybe look 343 00:19:10,880 --> 00:19:15,119 Speaker 1: to be acquired. So uh, you know, again, there's a 344 00:19:15,119 --> 00:19:18,120 Speaker 1: lot of risk in um in trying to make any 345 00:19:18,160 --> 00:19:21,800 Speaker 1: investment decision on the hope that they be the stock 346 00:19:21,880 --> 00:19:25,439 Speaker 1: that you are buying gets acquired. One company that we 347 00:19:25,520 --> 00:19:28,439 Speaker 1: think that's part that should be part of the investment thesis, 348 00:19:28,440 --> 00:19:31,280 Speaker 1: but only one part is Yelp. We thought, we've always 349 00:19:31,280 --> 00:19:33,560 Speaker 1: thought that that a two to three billion market cap 350 00:19:34,040 --> 00:19:37,200 Speaker 1: that would be a bite sizeable acquisition for anybody looking 351 00:19:37,240 --> 00:19:40,400 Speaker 1: to tap in the local advertising dollars, with a relatively 352 00:19:40,400 --> 00:19:44,040 Speaker 1: well established brand name and with a very large customer 353 00:19:44,119 --> 00:19:46,760 Speaker 1: base that's almost entirely in the US. So therefore somebody 354 00:19:46,920 --> 00:19:49,960 Speaker 1: with a global exposure could perhaps help translate that in 355 00:19:50,080 --> 00:19:52,840 Speaker 1: overseas market. Mark Mahoney, thank you so much, very generous 356 00:19:52,840 --> 00:19:54,280 Speaker 1: of you to be with us for this half hour. 357 00:19:54,440 --> 00:19:58,480 Speaker 1: Mr Mohan, He's with RBC Capital Markets of course on LinkedIn. 358 00:19:59,040 --> 00:20:01,719 Speaker 1: Note the comments again he was in the and Sorkin 359 00:20:02,600 --> 00:20:05,280 Speaker 1: article this morning on stock based compensation. I thought that 360 00:20:06,040 --> 00:20:09,840 Speaker 1: Mr Sorkin Mike did a great job of with clarity 361 00:20:09,960 --> 00:20:15,480 Speaker 1: showing the currency known as stock within the Silicon Valley. 362 00:20:15,520 --> 00:20:20,960 Speaker 1: Ethos this in from Atlanta. The Atlanta feds wage growth 363 00:20:21,040 --> 00:20:25,280 Speaker 1: track moves up three and a half percent. Now that's 364 00:20:25,280 --> 00:20:29,200 Speaker 1: a big number. That's getting well. Three was the number 365 00:20:29,720 --> 00:20:34,000 Speaker 1: that people have fed said should be a normal rate 366 00:20:34,040 --> 00:20:37,760 Speaker 1: of you know, reasonably normal rate of wage growth. Now 367 00:20:38,040 --> 00:20:41,200 Speaker 1: the Atlanta Fed tracks this differently than the hourly wages 368 00:20:41,240 --> 00:20:44,840 Speaker 1: that we see in the payroll report, so it's not 369 00:20:44,960 --> 00:20:47,840 Speaker 1: quite comproment, but it does it does show we are 370 00:20:47,880 --> 00:20:52,040 Speaker 1: seeing gains. We do charts on radio that always works, 371 00:20:52,160 --> 00:20:54,720 Speaker 1: and one of them, Mike, is my lollypop chart, which 372 00:20:54,720 --> 00:20:59,600 Speaker 1: will feature tomorrow. I can say without hesitation, if you 373 00:20:59,640 --> 00:21:03,360 Speaker 1: go back a year in three months and you establish 374 00:21:03,400 --> 00:21:06,280 Speaker 1: a trend in the two year that we are now 375 00:21:06,400 --> 00:21:12,760 Speaker 1: two standard deviations low yield in that trend at zero 376 00:21:12,840 --> 00:21:17,800 Speaker 1: point seven. That's that's not an approximation, that's a fact too. 377 00:21:17,880 --> 00:21:24,040 Speaker 1: Standard deviations. Well, we've been there once twice, three, four, five, six, seven, 378 00:21:24,359 --> 00:21:30,680 Speaker 1: eight times in the sire and now a ninth time. Well, 379 00:21:30,800 --> 00:21:33,439 Speaker 1: it is going to be an interesting ten days ahead. 380 00:21:33,640 --> 00:21:36,040 Speaker 1: What will you look for the minutes tomorrow We've talked 381 00:21:36,080 --> 00:21:39,000 Speaker 1: about the press conference. The minutes they'll be like what 382 00:21:39,240 --> 00:21:42,560 Speaker 1: seven words that will change three weeks from now? No year? 383 00:21:42,600 --> 00:21:46,639 Speaker 1: Talking about the statements statement, it's not it's not what 384 00:21:47,080 --> 00:21:50,480 Speaker 1: they do, it's why they do what they do. What 385 00:21:50,840 --> 00:21:53,080 Speaker 1: is it because the economy is weak? Or is it 386 00:21:53,119 --> 00:21:57,840 Speaker 1: because they're just uncertain? The former means no rate increases 387 00:21:57,920 --> 00:22:00,880 Speaker 1: for the near future. Of the latter, maybe we come 388 00:22:00,880 --> 00:22:04,840 Speaker 1: back in July and do this depressing well, let us 389 00:22:05,119 --> 00:22:10,480 Speaker 1: bring you forward to good coverage and good conversation from 390 00:22:10,480 --> 00:22:14,760 Speaker 1: a cross section of people. Tomorrow one PM. Richard Clarida 391 00:22:15,080 --> 00:22:19,560 Speaker 1: of Pimco, Alan Blinder of Princeton. We are thrilled that 392 00:22:20,560 --> 00:22:23,120 Speaker 1: Ms Zentner of Morgan Stanley will join us to begin 393 00:22:23,160 --> 00:22:25,880 Speaker 1: our coverage. We are produced by y U and Ken 394 00:22:25,920 --> 00:22:29,240 Speaker 1: folio Are, Global Technical Director of Bloomberg Surveillance