1 00:00:05,720 --> 00:00:13,040 Speaker 1: Yeah, Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keene 2 00:00:13,480 --> 00:00:17,560 Speaker 1: Jay Ley. We bring you inside from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,520 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,600 --> 00:00:34,040 Speaker 1: Bloomberg dot com, and of course on the Bloomberg. We're 5 00:00:34,080 --> 00:00:37,040 Speaker 1: begaining this morning with some earnings. Twitter first quarter revenue 6 00:00:37,080 --> 00:00:39,440 Speaker 1: coming again at six hundred and sixty four point nine 7 00:00:39,479 --> 00:00:42,640 Speaker 1: million dollars, the estimate at six hundred and five point 8 00:00:42,760 --> 00:00:46,120 Speaker 1: nine Monthly users also up by about three percent in 9 00:00:46,159 --> 00:00:48,879 Speaker 1: the pre market. The story looks like this, Twitter up 10 00:00:49,080 --> 00:00:52,080 Speaker 1: by over five and a half percent. Across over to 11 00:00:52,159 --> 00:00:54,480 Speaker 1: London quickly and catch you up with Alex web Bloomber 12 00:00:54,520 --> 00:00:57,400 Speaker 1: Gadflight columnists to get a feel for what's inside the 13 00:00:57,400 --> 00:01:00,160 Speaker 1: earnings report coming from Twitter. Alex, what are you looking at? 14 00:01:00,840 --> 00:01:03,440 Speaker 1: It's I mean, they're very impressive numbers. Clearly, they've beaten 15 00:01:03,480 --> 00:01:06,480 Speaker 1: on almost every measure apart from one which is more 16 00:01:06,560 --> 00:01:08,640 Speaker 1: or less in line, and that is active users. And 17 00:01:08,800 --> 00:01:11,000 Speaker 1: the thing that the story that tells me is that Twitter, 18 00:01:11,240 --> 00:01:14,480 Speaker 1: unlike Facebook, which really banks when growing using numbers um 19 00:01:14,560 --> 00:01:17,200 Speaker 1: they are managing to monetize the users they have It's 20 00:01:17,240 --> 00:01:19,640 Speaker 1: a story that stamped At try to tell when they 21 00:01:19,720 --> 00:01:22,520 Speaker 1: went public, but they didn't seem to manage to get 22 00:01:22,560 --> 00:01:25,880 Speaker 1: it to work. And Twitter really is ox. What's fascinating 23 00:01:25,880 --> 00:01:28,160 Speaker 1: to me is the word that is so in right 24 00:01:28,160 --> 00:01:32,600 Speaker 1: now is scale. Compare the scale of Twitter in their 25 00:01:32,680 --> 00:01:37,360 Speaker 1: opportunities of scale versus all their other compare and contrasts. 26 00:01:37,720 --> 00:01:40,240 Speaker 1: They don't have any scale compared to these others, do they? 27 00:01:40,800 --> 00:01:42,800 Speaker 1: Well no, But equally if you compare it to the 28 00:01:42,800 --> 00:01:45,360 Speaker 1: classic media company, they have a lot of scale. It's 29 00:01:45,400 --> 00:01:47,680 Speaker 1: you know, it's clearly where in a slightly different universe now, 30 00:01:48,000 --> 00:01:50,880 Speaker 1: but yes, compared to Facebook with you know, upwards the 31 00:01:50,960 --> 00:01:54,720 Speaker 1: two billion users, Twitter is nowhere near that. I guess. 32 00:01:55,400 --> 00:01:57,480 Speaker 1: If you're going to Twitter, you know you're getting sent 33 00:01:57,640 --> 00:02:01,000 Speaker 1: particular audience, namely one that has engaged live, whereas Facebook 34 00:02:01,160 --> 00:02:03,680 Speaker 1: traditionally you know, you go back and revisit Facebook at 35 00:02:03,680 --> 00:02:06,600 Speaker 1: different points of the day. The live audience element is 36 00:02:06,600 --> 00:02:09,560 Speaker 1: something that's massive now for advertisers big events and being 37 00:02:09,600 --> 00:02:12,079 Speaker 1: able to push outs in those directions. Alex Some like Facebook, 38 00:02:12,080 --> 00:02:16,360 Speaker 1: Twitters having a fantastic year. The stocks up by before 39 00:02:16,560 --> 00:02:19,679 Speaker 1: today's getting to even factored in, um, we're positive in 40 00:02:19,720 --> 00:02:22,960 Speaker 1: the pre market as well a similar model in the 41 00:02:23,000 --> 00:02:26,079 Speaker 1: sense that Facebook gets a lot of revenue from advertising, 42 00:02:26,080 --> 00:02:28,359 Speaker 1: and asked us Twitter, so why has Twitter not sort 43 00:02:28,360 --> 00:02:31,600 Speaker 1: of got caught up in the Facebook storm. Well, let's 44 00:02:31,639 --> 00:02:34,160 Speaker 1: put some context here. All truth is relative rights is 45 00:02:34,200 --> 00:02:36,560 Speaker 1: not coming off the back of some not very good years, 46 00:02:36,600 --> 00:02:41,440 Speaker 1: So um, it's really outperforming what it did before. Um. 47 00:02:41,560 --> 00:02:43,840 Speaker 1: We're always, with any of these stocks, I think, waiting 48 00:02:43,880 --> 00:02:47,040 Speaker 1: for the risk of some big event hitting in the 49 00:02:47,080 --> 00:02:48,880 Speaker 1: sense in you know, in the in the light of 50 00:02:48,880 --> 00:02:53,680 Speaker 1: a Cambridge analytic phenomenon which which sheds will cast the 51 00:02:53,680 --> 00:02:56,040 Speaker 1: company in a bad light and and can really great 52 00:02:56,080 --> 00:02:58,280 Speaker 1: problems for them. So far, there's no evidence of that Twitter, 53 00:02:58,360 --> 00:03:00,560 Speaker 1: because it is kind of an open fire hose. People 54 00:03:00,600 --> 00:03:03,360 Speaker 1: know that they're disseminating information to the public. That has 55 00:03:03,400 --> 00:03:05,600 Speaker 1: also been Twitter's problem. They don't have the same sort 56 00:03:05,600 --> 00:03:08,320 Speaker 1: of metadata on their users, who you are, what your 57 00:03:08,360 --> 00:03:11,280 Speaker 1: interests are, to the same extent that Facebook does. Um. 58 00:03:11,320 --> 00:03:13,040 Speaker 1: That has been a problem in the past. It makes 59 00:03:13,080 --> 00:03:15,840 Speaker 1: it harder to target advertising, but in this context it's 60 00:03:15,840 --> 00:03:18,160 Speaker 1: sort of a boon. Alex Webb Grant to catch up 61 00:03:18,160 --> 00:03:20,919 Speaker 1: with you decent Twitter and next Bloomberg gad Fly columnist 62 00:03:21,120 --> 00:03:24,079 Speaker 1: John us from London, and the usual disclaimer here Bloomberg Up, 63 00:03:24,480 --> 00:03:27,880 Speaker 1: of course, the parent company of Bloomberg Radio, producing a 64 00:03:27,960 --> 00:03:31,560 Speaker 1: global breaking news network for Twitter. Tomp king that that 65 00:03:31,680 --> 00:03:49,040 Speaker 1: breaking news network being TikTok. Of course. Well this Ellen 66 00:03:49,120 --> 00:03:52,320 Speaker 1: Zentner with Morgan Stanley and she joins us now and 67 00:03:52,920 --> 00:03:55,600 Speaker 1: an exceptionally important paper. I saw the paper from Morgan 68 00:03:55,640 --> 00:03:57,960 Speaker 1: Stanley on her fiscal position, and I just said, get 69 00:03:57,960 --> 00:04:01,360 Speaker 1: her on as soon as possible. You coalesced all your 70 00:04:01,400 --> 00:04:04,640 Speaker 1: teams in on our debt? Is our debt now different 71 00:04:04,640 --> 00:04:08,520 Speaker 1: than our debt of twenty and thirty Reagan years ago? Well, 72 00:04:08,560 --> 00:04:12,200 Speaker 1: I think that the certainly the interest on the debt 73 00:04:12,280 --> 00:04:16,039 Speaker 1: is different better, right, right, It's a lot better. And 74 00:04:16,080 --> 00:04:19,600 Speaker 1: so perhaps that means that we can carry such debt 75 00:04:19,640 --> 00:04:23,200 Speaker 1: burdens for longer um. But either way you do pay 76 00:04:23,240 --> 00:04:27,320 Speaker 1: the piper um. So here the two obvious things for economists. 77 00:04:27,320 --> 00:04:29,680 Speaker 1: The first obvious thing is that we've deployed all of 78 00:04:29,680 --> 00:04:34,160 Speaker 1: our fiscal muscle latent expansion when times are good. So 79 00:04:34,200 --> 00:04:38,040 Speaker 1: it's just very as Janet Yelling put it, ill timed. Uh. 80 00:04:38,080 --> 00:04:40,160 Speaker 1: And so that makes a skeptical of when we go 81 00:04:40,200 --> 00:04:43,200 Speaker 1: into the next downturn. Can we get enough fiscal support 82 00:04:43,880 --> 00:04:48,040 Speaker 1: It will be all on monetary policy, uh, with rates 83 00:04:48,160 --> 00:04:51,440 Speaker 1: that may not be very high, you know, depending on 84 00:04:51,480 --> 00:04:54,200 Speaker 1: the timing of the next downturn. So that's that's more 85 00:04:54,200 --> 00:04:57,920 Speaker 1: of the obvious, you know, medium term issue. The longer 86 00:04:58,000 --> 00:05:00,680 Speaker 1: term issue is that, uh, you know, we've we've just 87 00:05:01,240 --> 00:05:07,440 Speaker 1: raised the debt, but we didn't structurally change uh, the 88 00:05:07,480 --> 00:05:11,760 Speaker 1: tax burdens or the the incentives for doing business in 89 00:05:11,880 --> 00:05:16,279 Speaker 1: the US. UH. And so what we've done is we've 90 00:05:16,720 --> 00:05:21,880 Speaker 1: now uh basically guaranteed hampered longer term potential growth in 91 00:05:21,920 --> 00:05:24,720 Speaker 1: the economy. Uh. And that's one reason why you saw 92 00:05:24,760 --> 00:05:29,120 Speaker 1: economists revised upward near term forecasts, but we did not revise, 93 00:05:29,279 --> 00:05:33,640 Speaker 1: for the most part, longer run forecast of the economy's potential. Now, 94 00:05:34,080 --> 00:05:37,560 Speaker 1: we could all be wrong, right, we've we don't have 95 00:05:38,279 --> 00:05:40,960 Speaker 1: a perfect vision when these things go into place, and 96 00:05:41,000 --> 00:05:43,400 Speaker 1: we make our best guesses. And who's to say that 97 00:05:43,440 --> 00:05:45,400 Speaker 1: ten years down the line, we don't look back and say, oh, 98 00:05:45,440 --> 00:05:48,960 Speaker 1: we did actually structurally raise investment as a share of GDP, 99 00:05:49,240 --> 00:05:53,359 Speaker 1: we did structurally raise productivity. That absolutely could be the case, 100 00:05:53,400 --> 00:05:56,080 Speaker 1: but it doesn't look like that through my lens right now. 101 00:05:56,160 --> 00:05:58,000 Speaker 1: And what's really interesting here is what you see in 102 00:05:58,000 --> 00:05:59,760 Speaker 1: the economy. I think other people hisstonic to see in 103 00:05:59,760 --> 00:06:02,680 Speaker 1: the ELTs from from corporate earnings as well. Caterpillar was 104 00:06:02,720 --> 00:06:05,560 Speaker 1: fascinating yesterday. It blew out estimates, it beat on the 105 00:06:05,600 --> 00:06:08,080 Speaker 1: top and the bottom line, boosted their guidance as well, 106 00:06:08,200 --> 00:06:09,960 Speaker 1: and then the management came out and said this could 107 00:06:09,960 --> 00:06:11,600 Speaker 1: be the high water up for the year. And I 108 00:06:11,640 --> 00:06:14,000 Speaker 1: think there's been a sense amongst many equity investors over 109 00:06:14,080 --> 00:06:16,040 Speaker 1: the last couple of weeks that Q one might be 110 00:06:16,080 --> 00:06:18,400 Speaker 1: as good as it gets. UM. Do you see the 111 00:06:18,400 --> 00:06:21,520 Speaker 1: same parallels with with corporate earnings and the U S 112 00:06:21,560 --> 00:06:23,880 Speaker 1: economy as well, that maybe what we're seeing and what 113 00:06:23,920 --> 00:06:26,479 Speaker 1: we're about to see in the immediate future might be 114 00:06:26,520 --> 00:06:28,240 Speaker 1: as good as it gets. Well. So I think that's 115 00:06:28,240 --> 00:06:30,760 Speaker 1: really interesting because, of course, UM, one reason why it's 116 00:06:30,760 --> 00:06:33,320 Speaker 1: so important for us to collaborate with our strategies across 117 00:06:33,360 --> 00:06:38,080 Speaker 1: the firm is because markets peak earlier then the economy, 118 00:06:38,160 --> 00:06:40,960 Speaker 1: so investors are forward looking, so they're seeing that that 119 00:06:41,080 --> 00:06:44,040 Speaker 1: earnings are getting this this boost, UM, and it may 120 00:06:44,040 --> 00:06:49,160 Speaker 1: not be the the the highest quality boost because it's 121 00:06:49,200 --> 00:06:52,840 Speaker 1: coming primarily from a drop in tax rates. We're not 122 00:06:52,880 --> 00:06:55,479 Speaker 1: going to drop tax rates again. We don't do this 123 00:06:55,560 --> 00:06:58,480 Speaker 1: every year every quarter. So the as good as it 124 00:06:58,520 --> 00:07:04,120 Speaker 1: gets scenarios certainly seems reasonable for equity markets UH. And 125 00:07:04,200 --> 00:07:08,080 Speaker 1: but for the economy, we have not yet seen the 126 00:07:08,120 --> 00:07:13,720 Speaker 1: bulk of the push or the positive fiscal impulse yet UM. 127 00:07:13,760 --> 00:07:17,240 Speaker 1: And that's because economies and our economies companies and our 128 00:07:17,240 --> 00:07:19,920 Speaker 1: survey UM suggested that it's going to take them some 129 00:07:20,040 --> 00:07:24,720 Speaker 1: time UM to fully UM pull on board UM exactly 130 00:07:24,800 --> 00:07:28,600 Speaker 1: how the tax changes affect their business. And some yes, 131 00:07:28,800 --> 00:07:32,880 Speaker 1: may be hampered by uncertainty over possible possibility of tariffs 132 00:07:32,960 --> 00:07:37,360 Speaker 1: and and supply disruptions. UM. So far, capex plans are 133 00:07:37,400 --> 00:07:41,320 Speaker 1: at all time highs our other business conditions surveys remain 134 00:07:41,480 --> 00:07:46,120 Speaker 1: very very positive. UH. And so the UM UH stronger 135 00:07:46,160 --> 00:07:49,000 Speaker 1: investment is coming from the tax policy. It's not showing 136 00:07:49,080 --> 00:07:52,560 Speaker 1: up in first quarter GDP yet for a variety of reasons. UM. 137 00:07:52,760 --> 00:07:55,080 Speaker 1: But I but I think it's too early. I think 138 00:07:55,120 --> 00:07:58,160 Speaker 1: that the UM tendency to then count it out and 139 00:07:58,200 --> 00:08:00,480 Speaker 1: say we got no positive fiscal impact US at all, 140 00:08:00,920 --> 00:08:02,640 Speaker 1: I think that's the wrong call to make. It's too 141 00:08:02,640 --> 00:08:05,120 Speaker 1: early for that. But markets certainly can peaque well before 142 00:08:05,120 --> 00:08:07,840 Speaker 1: the economy well, we know for certain folks. On a Wednesday, 143 00:08:07,920 --> 00:08:13,000 Speaker 1: nineteen thousand, Bloomberg employees begin to slow down and anticipate 144 00:08:14,120 --> 00:08:17,720 Speaker 1: the real yield one pm. On Fridays, it's a two 145 00:08:17,840 --> 00:08:21,920 Speaker 1: day anticipation to get John John Farrell's show The Real 146 00:08:22,040 --> 00:08:25,720 Speaker 1: Years seen on Bloomberg Television worldwide. Al Zeer with us 147 00:08:26,120 --> 00:08:29,720 Speaker 1: of Morgan Stanley Ellen get get John out in preparation 148 00:08:29,800 --> 00:08:33,920 Speaker 1: here whither the real yield? Given all the dynamics, do 149 00:08:33,960 --> 00:08:37,600 Speaker 1: we get anywhere near normal? Do we get an excess 150 00:08:37,720 --> 00:08:40,199 Speaker 1: real yield? Or do we have an inflation of just 151 00:08:40,400 --> 00:08:42,640 Speaker 1: a yield that barely moves? Which is it? Well? I 152 00:08:42,960 --> 00:08:46,040 Speaker 1: think at this point, um, you know, with so many 153 00:08:46,120 --> 00:08:51,640 Speaker 1: moving parts and pieces, the additional supply um from funding 154 00:08:51,640 --> 00:08:54,720 Speaker 1: the deficit, the Fed's balance sheet rolling off in treasury 155 00:08:54,840 --> 00:08:59,520 Speaker 1: having to replace that, uh, and just raising rates, you know, 156 00:08:59,600 --> 00:09:01,240 Speaker 1: I think the Fed is going to find that it 157 00:09:01,280 --> 00:09:06,160 Speaker 1: can't go far into positive real rate territory. And that's 158 00:09:06,160 --> 00:09:09,440 Speaker 1: one reason why we think that they pause after that 159 00:09:09,520 --> 00:09:12,400 Speaker 1: third hike this year that we think comes in September. Now, 160 00:09:12,440 --> 00:09:15,280 Speaker 1: what will help them, of course is higher inflation. And 161 00:09:15,320 --> 00:09:18,920 Speaker 1: inflation is rising, it's rising very gradually. We're going to 162 00:09:19,000 --> 00:09:22,480 Speaker 1: print two percent on core PC next next week on Monday. 163 00:09:22,520 --> 00:09:25,600 Speaker 1: I think that that the optics of that UM the 164 00:09:25,640 --> 00:09:29,760 Speaker 1: FED will have to continue. It's it's UH diligence that 165 00:09:29,840 --> 00:09:32,280 Speaker 1: we've seen from several policymakers are trying to get out 166 00:09:32,280 --> 00:09:35,840 Speaker 1: ahead of this and say, look inflation at two not 167 00:09:35,920 --> 00:09:38,320 Speaker 1: a big deal, to to one to two, not a 168 00:09:38,320 --> 00:09:40,240 Speaker 1: big deal. What I do John wants to jump in 169 00:09:40,240 --> 00:09:41,880 Speaker 1: here because he's trying to get ready for his show 170 00:09:41,920 --> 00:09:45,080 Speaker 1: The real Yield seen it one time. It's been very 171 00:09:45,160 --> 00:09:48,400 Speaker 1: nice to me. Only once a week. UM. But but 172 00:09:48,400 --> 00:09:52,959 Speaker 1: but critically, what duration do you use to calculate the 173 00:09:53,000 --> 00:09:56,559 Speaker 1: best real yield? Is it two year, five year, ten year, 174 00:09:56,920 --> 00:09:59,800 Speaker 1: fifty year? Which is it? Well, I'm I'm I'm sure 175 00:09:59,840 --> 00:10:06,079 Speaker 1: that it's different for UM people looking for so for 176 00:10:06,080 --> 00:10:08,199 Speaker 1: for no, I was trying to think from a strategist 177 00:10:08,240 --> 00:10:11,719 Speaker 1: viewpoint versus an economist viewpoint, you know, strategist or from 178 00:10:11,720 --> 00:10:16,360 Speaker 1: Mars economists or from venus. But we we UM tend 179 00:10:16,400 --> 00:10:20,319 Speaker 1: to just look at UH positive real federal funds rate 180 00:10:20,840 --> 00:10:23,959 Speaker 1: short term. Yeah, short term. We focus on short term 181 00:10:24,000 --> 00:10:27,160 Speaker 1: there because when you're looking for the biggest bang for 182 00:10:27,240 --> 00:10:33,000 Speaker 1: market impact right now? Yeah, it's flat flat John means 183 00:10:33,040 --> 00:10:37,360 Speaker 1: near zero some Tom gets me ready for Friday. So 184 00:10:37,360 --> 00:10:39,840 Speaker 1: I don't have a clue what I'm doing. And so 185 00:10:39,880 --> 00:10:42,679 Speaker 1: I think that that that raises a host of issues, right. 186 00:10:42,720 --> 00:10:44,720 Speaker 1: It's one reason why the Fed is facing a flatter 187 00:10:44,720 --> 00:10:47,680 Speaker 1: and flatter yield curve. And as we get into that 188 00:10:47,760 --> 00:10:52,040 Speaker 1: third hike in September with a very flat yield curve, uh, 189 00:10:52,080 --> 00:10:53,600 Speaker 1: you know, we think that it's going to be more 190 00:10:53,720 --> 00:10:56,840 Speaker 1: difficult for them to go further. Um. What does help 191 00:10:56,880 --> 00:11:00,320 Speaker 1: though steep in that yield curve is inflation. Um. So 192 00:11:00,360 --> 00:11:04,000 Speaker 1: the Fed themselves can control that by of course taking 193 00:11:04,040 --> 00:11:07,880 Speaker 1: that pause after the September meeting, you could steepen out 194 00:11:08,120 --> 00:11:10,559 Speaker 1: what's become a very flat yield curve then, because you're 195 00:11:10,600 --> 00:11:13,720 Speaker 1: guaranteeing to markets that you're not going to push too 196 00:11:13,760 --> 00:11:17,240 Speaker 1: hard against inflation just because it's risen a bit above goal. 197 00:11:17,320 --> 00:11:20,160 Speaker 1: So I think the messaging here is going to be 198 00:11:20,240 --> 00:11:24,480 Speaker 1: critical as we get uh say, halfway um into the year, 199 00:11:24,720 --> 00:11:27,160 Speaker 1: but it really probably starts next week with that first 200 00:11:27,640 --> 00:11:30,440 Speaker 1: two percent print. You know, the Fed really does not 201 00:11:30,600 --> 00:11:33,320 Speaker 1: want market participants to make that big of a deal 202 00:11:33,360 --> 00:11:37,160 Speaker 1: of it. Governor Brainerd made a made a stressed in 203 00:11:37,200 --> 00:11:42,240 Speaker 1: her headwinds to tailwinds speech, remember that one, uh the 204 00:11:42,240 --> 00:11:44,480 Speaker 1: the in that speech she stressed that it wasn't about 205 00:11:44,480 --> 00:11:47,640 Speaker 1: getting to the two percent goal, is about strengthening underlying 206 00:11:47,679 --> 00:11:50,480 Speaker 1: trend inflation. To do that, you have to be at 207 00:11:50,559 --> 00:11:53,040 Speaker 1: or above the two percent goal for a time, So 208 00:11:53,280 --> 00:11:55,960 Speaker 1: don't battle against it the second we get there. Just 209 00:11:56,040 --> 00:11:59,560 Speaker 1: finally pasture distinction between what we have seen, UM in 210 00:11:59,640 --> 00:12:02,400 Speaker 1: terms of inflation expectations getting a boost over the last month, 211 00:12:02,600 --> 00:12:06,240 Speaker 1: whether it's primarily been driven by commodity prices or whether 212 00:12:06,480 --> 00:12:09,840 Speaker 1: there are serious expectations, real expectations of that wage growth 213 00:12:09,960 --> 00:12:12,560 Speaker 1: is just around the corner and it's coming. Yeah, So 214 00:12:12,600 --> 00:12:16,240 Speaker 1: I think, um, much of the belt bounce UM has 215 00:12:16,280 --> 00:12:19,280 Speaker 1: been oil and trade, right that it built into those 216 00:12:19,280 --> 00:12:23,079 Speaker 1: inflation expectations. Um. We also saw them strengthened though after 217 00:12:23,840 --> 00:12:27,040 Speaker 1: fiscal policy, because there are an expectation that faster growth 218 00:12:27,080 --> 00:12:30,160 Speaker 1: than economy would also bring higher inflation. But I'm glad 219 00:12:30,160 --> 00:12:33,760 Speaker 1: you mentioned wage growth because let's think about wage growth. 220 00:12:33,800 --> 00:12:38,640 Speaker 1: So UM, here's an equation alert TOM. Equation alert UM. 221 00:12:38,679 --> 00:12:41,320 Speaker 1: The rule of thumb for nominal wage growth if you 222 00:12:41,360 --> 00:12:44,200 Speaker 1: want to think about what level does it get inflationary 223 00:12:44,280 --> 00:12:47,280 Speaker 1: or not? Think about productivity plus inflation, and this is 224 00:12:47,320 --> 00:12:51,560 Speaker 1: how the FED looks at it. So productivity right, so 225 00:12:51,880 --> 00:12:56,439 Speaker 1: productivity one and change last year, say two percent on inflation, 226 00:12:56,800 --> 00:12:59,959 Speaker 1: So around a three percent nominal wage growth right now 227 00:13:00,080 --> 00:13:02,400 Speaker 1: would be a level that if you go beyond it, 228 00:13:02,520 --> 00:13:05,640 Speaker 1: you would see inflationary wage pressures. Those are the kind 229 00:13:05,640 --> 00:13:07,199 Speaker 1: of pressures that can spill over. We're two and a 230 00:13:07,280 --> 00:13:10,520 Speaker 1: half percent wage growth, so that is something that they 231 00:13:10,520 --> 00:13:13,400 Speaker 1: are looking very the policymakers are looking very closely at, 232 00:13:13,480 --> 00:13:17,920 Speaker 1: because if you have above goal inflation and you've got 233 00:13:17,960 --> 00:13:22,200 Speaker 1: inflationary wage pressures, that's a much different story than wage 234 00:13:22,200 --> 00:13:26,120 Speaker 1: growth that's still sluggish. From that rule of thumb sense 235 00:13:26,520 --> 00:13:29,960 Speaker 1: and and and inflation, that's a that's above goal. So 236 00:13:30,000 --> 00:13:33,160 Speaker 1: I think that helps them tolerate it. Thank you so much. 237 00:13:33,160 --> 00:13:48,720 Speaker 1: Congratulations on a superb fiscal economics report. Remember that bowing, 238 00:13:48,720 --> 00:13:51,520 Speaker 1: the biggest waiting on the down, makes up over nine 239 00:13:52,360 --> 00:13:56,120 Speaker 1: of the down in terms of member waiting, So bobbing, yeah, 240 00:13:56,160 --> 00:13:58,920 Speaker 1: bone results really mattering for the down, a big, big 241 00:13:58,920 --> 00:14:01,680 Speaker 1: white um. So the bowing numbers coming in first quarter 242 00:14:01,679 --> 00:14:04,240 Speaker 1: of core EPs at three sixty four the estimate to 243 00:14:04,400 --> 00:14:06,920 Speaker 1: fifty eight boost in the forecast as well, So bowing 244 00:14:07,040 --> 00:14:10,160 Speaker 1: up in a pre market in some decent size by 245 00:14:10,200 --> 00:14:11,839 Speaker 1: two point four percent and given a lift to the 246 00:14:11,880 --> 00:14:14,360 Speaker 1: Daw as well. Can we rip up the script? Do 247 00:14:14,480 --> 00:14:17,120 Speaker 1: you want? Jack hamblin with us from Chicago, which means 248 00:14:17,160 --> 00:14:19,600 Speaker 1: we can always rip up the script. Jack. When does 249 00:14:19,640 --> 00:14:22,840 Speaker 1: the doubt? When does dowst intergram Pards whatever, wake up 250 00:14:23,600 --> 00:14:27,520 Speaker 1: and stopped? This cap waited? I mean the price waited 251 00:14:27,560 --> 00:14:30,320 Speaker 1: Dow Jones. I mean I like the Dow. I quote 252 00:14:30,360 --> 00:14:33,080 Speaker 1: it because that's the third rail that everybody thinks off of. 253 00:14:33,560 --> 00:14:36,280 Speaker 1: But come on, it's two thou eighteen. Why don't they 254 00:14:36,320 --> 00:14:38,320 Speaker 1: go to a cap you know, like an SMP kind 255 00:14:38,320 --> 00:14:41,800 Speaker 1: of index. Yeah, it's crazy. I mean, how long has 256 00:14:41,840 --> 00:14:47,160 Speaker 1: the Dow been around since the hydred I mean they 257 00:14:47,240 --> 00:14:50,280 Speaker 1: couldn't figure it into their advocas back then. They probably 258 00:14:50,320 --> 00:14:52,800 Speaker 1: didn't know what market cap was in the eighteen hundred. 259 00:14:52,920 --> 00:14:55,480 Speaker 1: Let's go to the brilliant one, John Farrell. If Google 260 00:14:55,600 --> 00:14:59,520 Speaker 1: Alphabet joined the Dow, what would they make up like 261 00:15:00,080 --> 00:15:02,720 Speaker 1: percent of the index? Well, it depends what the prices um. 262 00:15:02,760 --> 00:15:04,680 Speaker 1: It's the cross part of you know, if you do 263 00:15:04,720 --> 00:15:06,880 Speaker 1: a stock split and you're still on the Dow, your 264 00:15:06,880 --> 00:15:09,560 Speaker 1: waiting goes down, whether whether your market cap is the 265 00:15:09,560 --> 00:15:12,280 Speaker 1: same size or not. So Apple, even though Apple has 266 00:15:12,320 --> 00:15:17,120 Speaker 1: this massive size of eight hundred and twenty seven billion dollars, 267 00:15:17,200 --> 00:15:20,920 Speaker 1: it's waiting is about half of what Boeings is um 268 00:15:21,080 --> 00:15:24,080 Speaker 1: in the Dow. Give you a sense of how ridiculous 269 00:15:24,120 --> 00:15:25,520 Speaker 1: thing exist. But I do feel like I've had this 270 00:15:25,560 --> 00:15:28,000 Speaker 1: conversation about ten times Mike McKie. I have a rule, 271 00:15:28,040 --> 00:15:31,520 Speaker 1: we only have this conversation after the second Gibson and 272 00:15:31,520 --> 00:15:36,440 Speaker 1: and I'm just conject now's the time, listen. I mean, 273 00:15:36,880 --> 00:15:39,240 Speaker 1: you know three M has a has a price of 274 00:15:39,280 --> 00:15:42,160 Speaker 1: around two hundred dollars a share. It's a big component 275 00:15:42,200 --> 00:15:44,600 Speaker 1: of the Dow. And when they disappointed the other day, 276 00:15:44,800 --> 00:15:47,800 Speaker 1: we saw it in the headlines. Are you a bull? Um? 277 00:15:47,840 --> 00:15:52,480 Speaker 1: You know what? I'm conflicted, Tom. I think near term, Um, 278 00:15:52,520 --> 00:15:56,040 Speaker 1: there are some opportunities, the upside um. If we could 279 00:15:56,080 --> 00:15:59,760 Speaker 1: strip away Twitter, Twitter and strip away some of these headlines, 280 00:16:00,080 --> 00:16:03,720 Speaker 1: I think the market should be ten higher than it 281 00:16:03,800 --> 00:16:06,800 Speaker 1: is right now. Longer term, I'm concerned. I think that 282 00:16:06,920 --> 00:16:10,480 Speaker 1: while you know the stock market didn't like three they're 283 00:16:10,480 --> 00:16:13,320 Speaker 1: gonna hate four uh, and I think fair value in 284 00:16:13,320 --> 00:16:16,640 Speaker 1: the ten years four percent sold to me about three percent. 285 00:16:17,000 --> 00:16:19,480 Speaker 1: Had a really simple question from someone I would switch 286 00:16:20,000 --> 00:16:23,080 Speaker 1: yesterday who's a pension of and just wants to understand, 287 00:16:23,240 --> 00:16:26,200 Speaker 1: what is three percent main for the equity market? Even 288 00:16:26,200 --> 00:16:28,160 Speaker 1: if it's so the world still spinning, A lot of 289 00:16:28,160 --> 00:16:30,240 Speaker 1: people were freaking out linking up to it. But the 290 00:16:30,240 --> 00:16:33,080 Speaker 1: weald still spinning and things, that's still okay. What does 291 00:16:33,120 --> 00:16:37,840 Speaker 1: three percent mean to you? Three percent means uh that Uh. 292 00:16:38,000 --> 00:16:42,040 Speaker 1: The bond market investors are looking at the ECB saying 293 00:16:42,160 --> 00:16:46,480 Speaker 1: that they're gonna end their quantitative easing programs sometime in 294 00:16:46,520 --> 00:16:50,000 Speaker 1: the fourth quarter. Uh, and that's really what's been keeping 295 00:16:50,000 --> 00:16:53,560 Speaker 1: that interest rate low longer term. Uh. The bond market 296 00:16:53,840 --> 00:16:56,080 Speaker 1: has been in this tuggo war with the stock market 297 00:16:56,120 --> 00:16:58,320 Speaker 1: over the last ten years, with one arm tied behind 298 00:16:58,360 --> 00:17:01,200 Speaker 1: its back, and so as we're result of that, the 299 00:17:01,240 --> 00:17:04,119 Speaker 1: equity market has been the only child of the asset 300 00:17:04,160 --> 00:17:07,000 Speaker 1: allocation world and has gotten a lot more capital than 301 00:17:07,040 --> 00:17:09,720 Speaker 1: it probably deserves. Any reason to believe, though, that risk 302 00:17:09,760 --> 00:17:14,720 Speaker 1: assets can't continue outperforming given their experience of three in 303 00:17:14,720 --> 00:17:18,960 Speaker 1: the past. Where equity market has been totally fine. The 304 00:17:18,960 --> 00:17:22,040 Speaker 1: more recent experience, of course an occupation. Why is it 305 00:17:22,080 --> 00:17:24,879 Speaker 1: different this time? I think because potential g d p 306 00:17:25,200 --> 00:17:27,359 Speaker 1: P is much lower than it's been in the past. 307 00:17:27,800 --> 00:17:31,600 Speaker 1: Potential GDP right now is is about two percent. If 308 00:17:31,640 --> 00:17:34,080 Speaker 1: you look at a labor force growth of zero point 309 00:17:34,160 --> 00:17:38,960 Speaker 1: seven and productivity about one point five. And so in 310 00:17:39,040 --> 00:17:44,760 Speaker 1: the context of potential GDP UM, you know that interest 311 00:17:44,840 --> 00:17:48,560 Speaker 1: rate is higher than it's been historically. I suppose Jack, 312 00:17:48,600 --> 00:17:51,760 Speaker 1: your great charm over the decadees is you've really always 313 00:17:51,760 --> 00:17:55,399 Speaker 1: taken a bigger view the word de jure. You and 314 00:17:55,440 --> 00:17:57,679 Speaker 1: I have seen endless word de jur. They come in, 315 00:17:57,760 --> 00:18:03,560 Speaker 1: they go out, they use whatever is scale. Everybody's scaling. 316 00:18:04,080 --> 00:18:06,680 Speaker 1: I know what scale means to me, What scale mean 317 00:18:06,720 --> 00:18:11,000 Speaker 1: to Jack Evelin, Yeah, I mean it means that, UM, 318 00:18:11,800 --> 00:18:15,200 Speaker 1: you have to take the infrastructure that you have and 319 00:18:15,400 --> 00:18:18,440 Speaker 1: try to apply it to as many customers as you've 320 00:18:18,480 --> 00:18:22,320 Speaker 1: got UM. And technology has been able to help companies 321 00:18:22,359 --> 00:18:26,239 Speaker 1: do that. UM. So you look at the UH, you know, 322 00:18:26,280 --> 00:18:30,159 Speaker 1: the Comcast Sky deal for example, it's all about scale. 323 00:18:30,520 --> 00:18:34,399 Speaker 1: It's all about taking the content UH and trying to 324 00:18:34,720 --> 00:18:39,760 Speaker 1: you know, voist football or the Olympics on Europeans. UH. 325 00:18:39,800 --> 00:18:42,800 Speaker 1: And so you know, it's taking all of the content 326 00:18:42,920 --> 00:18:47,600 Speaker 1: that that that Comcast has accumulated and and this you know, 327 00:18:47,760 --> 00:18:51,120 Speaker 1: distributing it to Europe, to me. And this goes back 328 00:18:51,160 --> 00:18:53,800 Speaker 1: to our terrific Avie. Thank you for the global response 329 00:18:53,880 --> 00:18:58,080 Speaker 1: yesterday to our interview in London with Marianna Mazacuto. We 330 00:18:58,160 --> 00:19:01,280 Speaker 1: got a huge response of her thoughts on how corporate 331 00:19:01,320 --> 00:19:05,200 Speaker 1: officers are incentivized. We got lesser nominal GDP you just mentioned, 332 00:19:05,240 --> 00:19:08,720 Speaker 1: we got lesser potential GDP growth. And every corporate officer 333 00:19:08,840 --> 00:19:11,720 Speaker 1: out there of every deal, Twitter, Boeing, all the companies 334 00:19:11,840 --> 00:19:17,280 Speaker 1: John's mentioning are incentivized by total returns, stock options and 335 00:19:17,400 --> 00:19:20,600 Speaker 1: all arrest for the next bull market? Is the system 336 00:19:20,680 --> 00:19:25,240 Speaker 1: broken because the officers are trying as crazy as they 337 00:19:25,240 --> 00:19:28,760 Speaker 1: can to get incentive returns. And yet does that really 338 00:19:28,840 --> 00:19:33,440 Speaker 1: benefit a company desperate for this things scale? Um? Yeah, 339 00:19:33,520 --> 00:19:35,960 Speaker 1: I think that you know what we're really what you're 340 00:19:36,000 --> 00:19:38,639 Speaker 1: talking about, at least the way I I see it 341 00:19:38,760 --> 00:19:42,720 Speaker 1: is short term is um UH, which is a maryannest right. 342 00:19:42,800 --> 00:19:45,800 Speaker 1: And and the issue here is part of the part 343 00:19:45,880 --> 00:19:51,440 Speaker 1: of the UH. The gravitational pull of the public equity 344 00:19:51,480 --> 00:19:54,960 Speaker 1: markets is this court at quarter. Short term term is UM. 345 00:19:55,359 --> 00:19:58,919 Speaker 1: For that reason, we don't see private companies going public 346 00:19:59,280 --> 00:20:02,040 Speaker 1: as quickly. We see in fact, the number of shares 347 00:20:02,080 --> 00:20:05,880 Speaker 1: outstanding in public markets has diminished over time. And for 348 00:20:05,960 --> 00:20:10,240 Speaker 1: that reason we accress it are actually focused on direct 349 00:20:10,320 --> 00:20:14,320 Speaker 1: investments in private companies. The direct investments in private companies. 350 00:20:14,320 --> 00:20:17,040 Speaker 1: How competitive is that right now? Because there is huge, 351 00:20:17,520 --> 00:20:21,399 Speaker 1: huge piles of cash sitting with private equity ready to 352 00:20:21,400 --> 00:20:24,320 Speaker 1: be deployed. How how competitive is that? Sure? So we're 353 00:20:24,359 --> 00:20:29,040 Speaker 1: not big believers in private equity funds nor private equity 354 00:20:29,040 --> 00:20:32,000 Speaker 1: fund of funds. We literally go out and place money 355 00:20:32,040 --> 00:20:36,560 Speaker 1: with individual companies and own individual companies ourselves and consider 356 00:20:36,600 --> 00:20:39,960 Speaker 1: it this way. For as expensive as private equity is, 357 00:20:40,040 --> 00:20:43,240 Speaker 1: that's say eight or nine times even DA, it's currently 358 00:20:43,240 --> 00:20:46,080 Speaker 1: trading at half the valuation of the SMP five hundred. 359 00:20:46,480 --> 00:20:49,120 Speaker 1: So what do you do with that? What's the application 360 00:20:49,160 --> 00:20:51,800 Speaker 1: where I can arbitrage that and make money? Well, it's 361 00:20:51,800 --> 00:20:55,240 Speaker 1: a getting back to our time frame. It's a long 362 00:20:55,359 --> 00:20:59,440 Speaker 1: term endeavor. UH. It forces us to be long term 363 00:20:59,440 --> 00:21:03,080 Speaker 1: investor UM and that segment of the market. We're buying 364 00:21:03,119 --> 00:21:06,240 Speaker 1: individual companies with low leverage UH, and we want to 365 00:21:06,240 --> 00:21:08,560 Speaker 1: own them forever. Uh. And so what we can do 366 00:21:08,720 --> 00:21:11,520 Speaker 1: is use the cash flow that these companies are kicking 367 00:21:11,560 --> 00:21:14,680 Speaker 1: off and rather than having to apply it to pay 368 00:21:14,720 --> 00:21:18,280 Speaker 1: down debt, we can use it for dividends for our 369 00:21:18,400 --> 00:21:22,000 Speaker 1: our our holders. Camplin, it's going to have you with us. 370 00:21:22,000 --> 00:21:24,200 Speaker 1: Thank you very much for joining us. This morning. Christent 371 00:21:24,240 --> 00:21:27,199 Speaker 1: wanth advised his chief investment officer and at founding pon 372 00:21:41,680 --> 00:21:43,760 Speaker 1: Victor Anthony with a snow that he just said, I 373 00:21:43,760 --> 00:21:46,080 Speaker 1: don't want to say, folks, that you can go into 374 00:21:46,080 --> 00:21:48,480 Speaker 1: the Bloomberg terminal and that with all but with most 375 00:21:48,560 --> 00:21:52,159 Speaker 1: analysts you could really look at their by hold cell calls. 376 00:21:52,720 --> 00:21:57,400 Speaker 1: And Victor Anthony brilliantly was skeptical. And you know there 377 00:21:57,440 --> 00:21:59,360 Speaker 1: was a new genus where he missed a little bit 378 00:21:59,480 --> 00:22:05,520 Speaker 1: and then he is absolutely nailed Twitter. From January six 379 00:22:05,840 --> 00:22:09,239 Speaker 1: this year, again, Victory Anthony joins us ages. Let's go 380 00:22:09,320 --> 00:22:15,399 Speaker 1: back Victor first, why did you shift from teens mediocrity 381 00:22:15,440 --> 00:22:18,280 Speaker 1: to the moon shot known as Twitter? Right now? What 382 00:22:18,359 --> 00:22:21,080 Speaker 1: was it the thing where you climbed on board and 383 00:22:21,119 --> 00:22:25,320 Speaker 1: said load the boat? Yeah? So, um, it's good question. 384 00:22:25,400 --> 00:22:27,439 Speaker 1: I mean, for most of the time I was negative 385 00:22:27,480 --> 00:22:30,720 Speaker 1: on Twitter. My channel checks were coming back negative. You know, 386 00:22:30,760 --> 00:22:33,960 Speaker 1: advertisers are telling me that they were shifting budget off Twitter. 387 00:22:34,480 --> 00:22:36,600 Speaker 1: Advertisers are telling me they were get in better return 388 00:22:36,680 --> 00:22:40,280 Speaker 1: on the ad dollar on other platforms, notably Facebook and Google. 389 00:22:40,359 --> 00:22:42,880 Speaker 1: But that shifted towards the back half of last year 390 00:22:43,359 --> 00:22:46,680 Speaker 1: UM and started getting more positive commentary from advertisers. UM. 391 00:22:46,720 --> 00:22:49,520 Speaker 1: That became extremely stronger in the fourth quarter, and so 392 00:22:49,640 --> 00:22:52,439 Speaker 1: much so that I was it compelled me to my 393 00:22:52,560 --> 00:22:55,280 Speaker 1: rating for my cell to a buy in uh. Um 394 00:22:56,440 --> 00:22:58,960 Speaker 1: the fourth quarter do they diminished? I mean it is 395 00:22:59,000 --> 00:23:02,000 Speaker 1: their takeout room worse here. Should they have been taken 396 00:23:02,000 --> 00:23:05,680 Speaker 1: out in January? Or are they ever more takeout candidate? 397 00:23:05,760 --> 00:23:08,960 Speaker 1: This morning? You know, the numbers were great. I mean 398 00:23:09,119 --> 00:23:12,399 Speaker 1: they beat my my estimates by about ten percent on 399 00:23:12,400 --> 00:23:15,159 Speaker 1: the top line, they beat the IBIDA. The guidance was 400 00:23:15,680 --> 00:23:19,360 Speaker 1: also above quite mentally on revenues on and on ibida 401 00:23:19,800 --> 00:23:23,280 Speaker 1: implied revenues. UM, so very very strong print. UM. They 402 00:23:23,480 --> 00:23:26,879 Speaker 1: grew uses as well. UM. Perhaps not as strongly in 403 00:23:26,920 --> 00:23:29,520 Speaker 1: the US as I was expecting. There was some you know, 404 00:23:29,560 --> 00:23:32,800 Speaker 1: kind of a one time issues there. UM, but you know, 405 00:23:33,040 --> 00:23:36,040 Speaker 1: the business has returned. I think it's a significant inflection 406 00:23:36,040 --> 00:23:38,520 Speaker 1: point for them. UM. But given that the businesses such 407 00:23:38,560 --> 00:23:40,800 Speaker 1: instylid ground, you know, I'm being you know, I think 408 00:23:40,800 --> 00:23:44,239 Speaker 1: it's somewhat continuitive, But I do believe that now I 409 00:23:44,280 --> 00:23:47,080 Speaker 1: think acquires to actually stop taking a look at Twitter. 410 00:23:47,200 --> 00:23:49,919 Speaker 1: I think it's an exceptional platform. It's open. Um, you know, 411 00:23:49,920 --> 00:23:53,200 Speaker 1: advertisers are coming back. Um, there's a lot of data 412 00:23:53,240 --> 00:23:55,919 Speaker 1: you could clean from the usage of Twitter that I 413 00:23:55,920 --> 00:23:58,640 Speaker 1: think a platform like you know, Google alphae which I'm 414 00:23:58,680 --> 00:24:03,360 Speaker 1: extremely valuable gleaning this data from Twitter. Does that ever 415 00:24:03,520 --> 00:24:07,760 Speaker 1: run a foul of federal regulators? You know, I think 416 00:24:08,280 --> 00:24:11,119 Speaker 1: given that Twitter is an open platform, you know, I 417 00:24:11,200 --> 00:24:15,160 Speaker 1: think they're less susceptible to any sort of regulatory issues 418 00:24:15,200 --> 00:24:16,760 Speaker 1: that may come down down the pipe, which I do 419 00:24:16,880 --> 00:24:19,920 Speaker 1: think will come down um some if not this year, 420 00:24:20,000 --> 00:24:22,919 Speaker 1: definitely next year. Um. I think that probably have more 421 00:24:22,960 --> 00:24:25,879 Speaker 1: of a negative impact on Facebook, even though I think 422 00:24:25,880 --> 00:24:29,000 Speaker 1: Facebook will be able to withstand it. But I think 423 00:24:29,000 --> 00:24:31,560 Speaker 1: it's a really less so for an open platform like Twitter. 424 00:24:32,600 --> 00:24:35,360 Speaker 1: Why what's being open about it that makes it less 425 00:24:35,359 --> 00:24:41,440 Speaker 1: susceptible to any kind of hacking or indeed false tweeting 426 00:24:41,760 --> 00:24:46,280 Speaker 1: or pasting or posting or false material. No, I think 427 00:24:46,440 --> 00:24:50,120 Speaker 1: you know, the quality of tweets, um, you know, whether 428 00:24:50,160 --> 00:24:52,720 Speaker 1: it be bots, I think it's an issue that Twitter 429 00:24:52,800 --> 00:24:54,040 Speaker 1: has got will do it for quite some time. But 430 00:24:54,119 --> 00:24:56,320 Speaker 1: I think, you know, there are have measures in place 431 00:24:56,400 --> 00:25:00,320 Speaker 1: to actively um police in the platform and using official 432 00:25:00,320 --> 00:25:04,280 Speaker 1: intelligence tools to combat that. UM. But what I was 433 00:25:04,280 --> 00:25:08,000 Speaker 1: saying is that on Twitter, UM, when you post on Twitter, 434 00:25:08,920 --> 00:25:12,439 Speaker 1: most uses, most uses are probably the supermajority of them 435 00:25:13,119 --> 00:25:15,919 Speaker 1: make the tweets you know, available to the public, whereas 436 00:25:16,040 --> 00:25:18,959 Speaker 1: on Facebook is more of a closed platform, so when 437 00:25:19,000 --> 00:25:21,639 Speaker 1: you share that information, you share it with the intent 438 00:25:22,400 --> 00:25:27,480 Speaker 1: that that information is called private. The other issue though, 439 00:25:27,640 --> 00:25:29,280 Speaker 1: is whether or not you know the information could be 440 00:25:29,320 --> 00:25:33,919 Speaker 1: sold and manipulated like it was during their election cycle. UM. 441 00:25:34,040 --> 00:25:35,600 Speaker 1: I think that was more of an issue for Facebook 442 00:25:35,600 --> 00:25:37,200 Speaker 1: than it was for Twitter, even though Twitter did have 443 00:25:37,680 --> 00:25:40,480 Speaker 1: you know, some issues there as well, with particularly Russian bonds. 444 00:25:41,000 --> 00:25:45,200 Speaker 1: How do you value Twitter? You know? I UM, you know. 445 00:25:45,440 --> 00:25:49,719 Speaker 1: Twitter is returning back to growth. Advertising revenue is back 446 00:25:49,760 --> 00:25:52,000 Speaker 1: into double digits. I think that continues throughout the next 447 00:25:52,000 --> 00:25:55,440 Speaker 1: seven quarters. I think there's a second consecutive quarter of 448 00:25:55,480 --> 00:25:59,480 Speaker 1: gap profitability. I think that continuation continues, and I think 449 00:25:59,520 --> 00:26:02,240 Speaker 1: they get added into the SMP if they do that 450 00:26:02,280 --> 00:26:05,159 Speaker 1: for consecutive quarters. That said, though, I think the DCF 451 00:26:05,240 --> 00:26:07,040 Speaker 1: is probably the best way to do it. Um. The 452 00:26:07,119 --> 00:26:10,960 Speaker 1: company is cash flow positive night Netflix. Um, and you 453 00:26:11,080 --> 00:26:12,920 Speaker 1: just have those cash clothes, you get a really good 454 00:26:13,119 --> 00:26:16,160 Speaker 1: um stock price. You know my evaluation in the base 455 00:26:16,200 --> 00:26:19,760 Speaker 1: cases forty dollars for the stock. Okay, I get all 456 00:26:19,840 --> 00:26:24,040 Speaker 1: the cf A talk about it, but the key word 457 00:26:24,160 --> 00:26:30,440 Speaker 1: this era is scale. Does Twitter have scale? Listen? I 458 00:26:30,480 --> 00:26:36,080 Speaker 1: mean threety six million uses? Um, you know, clearly it's 459 00:26:36,400 --> 00:26:41,080 Speaker 1: subscale relative to Facebook, which has over two billion users. Um, 460 00:26:41,160 --> 00:26:43,639 Speaker 1: but that number is nothing. This needs that and so um. 461 00:26:44,000 --> 00:26:46,520 Speaker 1: You know, I think they'll continue to grow that at 462 00:26:46,560 --> 00:26:49,159 Speaker 1: the marginal pace one or two million per quarter. It 463 00:26:49,200 --> 00:26:53,320 Speaker 1: will never grow, never be the size as Twitter as Facebook. 464 00:26:54,040 --> 00:26:56,359 Speaker 1: But I think it's uh, you know, it's it has 465 00:26:56,400 --> 00:26:59,879 Speaker 1: a captive audience, very engage audience. And I think all 466 00:26:59,920 --> 00:27:01,800 Speaker 1: the time, you know, they're finding better ways to monetize 467 00:27:01,840 --> 00:27:03,920 Speaker 1: our audience. And that's what we're seeing in the numbers today. 468 00:27:04,520 --> 00:27:06,280 Speaker 1: And the stock is off today. I think it's down 469 00:27:06,520 --> 00:27:12,000 Speaker 1: as we began speaking, probably down Yeah, no, no, I 470 00:27:12,119 --> 00:27:13,960 Speaker 1: think you know the tape is the tough tape Number one, 471 00:27:14,040 --> 00:27:16,520 Speaker 1: number two. They get some questions commentary on the call 472 00:27:16,600 --> 00:27:19,160 Speaker 1: about the back half in terms of the add growth 473 00:27:19,200 --> 00:27:21,239 Speaker 1: in the back half, But I think that's just, uh, 474 00:27:21,680 --> 00:27:27,199 Speaker 1: that's being conservative. What has the effect been of adding 475 00:27:27,400 --> 00:27:30,560 Speaker 1: the feature of being able to add more comments you 476 00:27:30,840 --> 00:27:35,520 Speaker 1: with lengthening the characters? Well, accord, According to the company, 477 00:27:35,680 --> 00:27:40,960 Speaker 1: the engagement on Twitter has increased um meaningfully since they 478 00:27:41,040 --> 00:27:44,840 Speaker 1: made that conversion over, so um it's more of a 479 00:27:45,080 --> 00:27:49,960 Speaker 1: tool UM two appease the high value users of the platform. 480 00:27:50,600 --> 00:27:52,240 Speaker 1: They keep them more engaged. And you know, people are 481 00:27:52,280 --> 00:27:55,840 Speaker 1: spending little, slightly a bit more time clearly given the 482 00:27:55,920 --> 00:27:58,600 Speaker 1: fact that you're reading a lot more content, so more 483 00:27:58,680 --> 00:28:01,240 Speaker 1: time spent more hying it on the platform. Who would 484 00:28:01,280 --> 00:28:03,240 Speaker 1: buy Twitter? I mean, I know we covered this earlier 485 00:28:03,280 --> 00:28:08,200 Speaker 1: in the interview. Would but I just they're little That's 486 00:28:08,240 --> 00:28:10,919 Speaker 1: what I keep circling back. Pimp, you ever buy anything 487 00:28:11,080 --> 00:28:13,520 Speaker 1: or click on anything like an ad when you're on Twitter? 488 00:28:14,520 --> 00:28:16,560 Speaker 1: And no anyone that's ever clicked on an ad or 489 00:28:16,600 --> 00:28:20,320 Speaker 1: bought anything on Twitter? So why would you advertise on Twitter? 490 00:28:20,400 --> 00:28:24,000 Speaker 1: Anthony victory? I beg your victory, Anthony, Why Well, have 491 00:28:24,160 --> 00:28:29,960 Speaker 1: you guys bought something from Facebook? Okay? But they're generated 492 00:28:30,000 --> 00:28:32,200 Speaker 1: billings and bills that as of advertising on the platform 493 00:28:32,240 --> 00:28:34,920 Speaker 1: face yeah, but doesn't eventually the advertiser go, wait a minute, 494 00:28:34,960 --> 00:28:39,360 Speaker 1: they're not clicking. Um. What I'm hearing from advertises is 495 00:28:39,680 --> 00:28:43,360 Speaker 1: quite the contrary. Um on both platforms. Now, you know 496 00:28:43,560 --> 00:28:45,560 Speaker 1: it wasn't the case for Twitter, but now I'm having 497 00:28:45,600 --> 00:28:48,440 Speaker 1: the same thing for Twitter. Um, people are clicking on 498 00:28:48,520 --> 00:28:50,960 Speaker 1: the on those ads. Maybe you may not be doing it. Um. 499 00:28:51,040 --> 00:28:52,959 Speaker 1: Quite frankly, the only adds I've clicked that on who 500 00:28:53,040 --> 00:28:56,000 Speaker 1: was really on Instagram? I find that to be level 501 00:28:56,040 --> 00:29:00,040 Speaker 1: relevant from my own personal taste as that we and 502 00:29:00,120 --> 00:29:02,560 Speaker 1: so people people do buy, people do buy on the 503 00:29:02,640 --> 00:29:05,360 Speaker 1: platform and advatas to auding to return on this fantomy 504 00:29:05,520 --> 00:29:08,280 Speaker 1: because people are clicking on the act now, Victor, thank you, 505 00:29:08,800 --> 00:29:11,440 Speaker 1: congratulations on what you've done since the middle of January, 506 00:29:11,440 --> 00:29:15,400 Speaker 1: and Twitter just superb ages Victor Anthony of Ages Capital 507 00:29:15,800 --> 00:29:25,040 Speaker 1: uh at this one. Thanks for listening to the Bloomberg 508 00:29:25,080 --> 00:29:31,000 Speaker 1: Surveillance podcast. Subscribe and listen to interviews on Apple Podcasts, SoundCloud, 509 00:29:31,400 --> 00:29:35,600 Speaker 1: or whichever podcast platform you prefer. I'm on Twitter at 510 00:29:35,680 --> 00:29:39,880 Speaker 1: Tom Keane before the podcast. You can always catch us worldwide. 511 00:29:40,400 --> 00:29:41,440 Speaker 1: I'm Bloomberg Radio