1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business app. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,000 Speaker 1: us live on YouTube. 6 00:00:27,080 --> 00:00:29,000 Speaker 2: And this is a joy. We start strowing with an 7 00:00:29,000 --> 00:00:33,159 Speaker 2: extended conversation with Tarsten Slock of a poly global management 8 00:00:33,159 --> 00:00:35,120 Speaker 2: And what's great about him is I can audible four 9 00:00:35,200 --> 00:00:38,120 Speaker 2: or five ways and I do so off a memoy 10 00:00:38,280 --> 00:00:41,400 Speaker 2: just put out which goes into my question of animal 11 00:00:41,479 --> 00:00:47,120 Speaker 2: spirits nominal GDP. And part of that is the demographic 12 00:00:47,440 --> 00:00:54,320 Speaker 2: overlay over our societies plural Tarsten Slock. China's working age 13 00:00:54,360 --> 00:01:01,040 Speaker 2: population is declining. America's working age population is growing. Discuss Torston. 14 00:01:01,120 --> 00:01:03,480 Speaker 2: That's the heart of the matter, isn't it. We've got 15 00:01:03,480 --> 00:01:04,880 Speaker 2: a lift. They don't. 16 00:01:06,400 --> 00:01:10,959 Speaker 3: Absolutely, So China is facing three headwinds. Demographics because of 17 00:01:11,000 --> 00:01:13,840 Speaker 3: the one child policy is beginning to catch up. Is 18 00:01:13,880 --> 00:01:16,240 Speaker 3: going to be a significant hit wind over the next 19 00:01:16,240 --> 00:01:19,200 Speaker 3: ten years. The United Nations is forecasting that the working 20 00:01:19,240 --> 00:01:22,039 Speaker 3: age population today, which is about a billion people, will 21 00:01:22,080 --> 00:01:24,640 Speaker 3: shrink over the next ten years to nine hundred million. 22 00:01:24,959 --> 00:01:28,160 Speaker 3: In other words, that's one hundred million people fewer working 23 00:01:28,160 --> 00:01:31,199 Speaker 3: in factories, working in the service sector. Also one hundred 24 00:01:31,240 --> 00:01:35,200 Speaker 3: million people fewer paying taxes. That is a significant Japanese 25 00:01:35,200 --> 00:01:40,240 Speaker 3: style headwind to growth in China over the next several years. Likewise, 26 00:01:40,319 --> 00:01:43,520 Speaker 3: China is facing some hitwinds from a deflating housing bubble, 27 00:01:43,720 --> 00:01:46,160 Speaker 3: and of course China is also facing some hitwinds from 28 00:01:46,200 --> 00:01:48,240 Speaker 3: a trade wall with not only the US, but also 29 00:01:48,280 --> 00:01:51,880 Speaker 3: with Europe. And that is indeed some very idiosyncratic sources 30 00:01:51,880 --> 00:01:55,160 Speaker 3: of why China is weaker than the US is at 31 00:01:55,160 --> 00:01:55,559 Speaker 3: the moment. 32 00:01:55,920 --> 00:01:58,200 Speaker 4: So Torston, I think over the last twenty or thirty years, 33 00:01:58,560 --> 00:02:01,720 Speaker 4: hearing what you just said about China weakening, that would 34 00:02:01,720 --> 00:02:05,320 Speaker 4: be a real, real challenge for the global economy. 35 00:02:05,360 --> 00:02:06,160 Speaker 5: Is that still the case? 36 00:02:06,960 --> 00:02:09,160 Speaker 3: That is exactly right, And that's why this has some 37 00:02:09,360 --> 00:02:13,680 Speaker 3: very important implications. Remember, historically in the last fifteen years, 38 00:02:13,880 --> 00:02:17,760 Speaker 3: China has accounted for half of all demand for commodities. So, 39 00:02:17,919 --> 00:02:22,040 Speaker 3: first of all, commodity prices are under pressure simply because 40 00:02:22,160 --> 00:02:25,720 Speaker 3: growth is slowing down in China. Again hardly for demographic 41 00:02:25,760 --> 00:02:28,800 Speaker 3: meaning structural reasons, but also for some cyclical reasons that 42 00:02:28,840 --> 00:02:30,920 Speaker 3: have to do with housing and have to do where 43 00:02:30,919 --> 00:02:33,280 Speaker 3: the trade walls, both again with US in Europe. So 44 00:02:33,639 --> 00:02:36,880 Speaker 3: demand for commodities globally looks a lot weaker across the board. 45 00:02:37,080 --> 00:02:40,960 Speaker 3: And also remember that Germany is a huge exporter to China, 46 00:02:41,080 --> 00:02:43,760 Speaker 3: so that also means that Europe is unfortunately also hard 47 00:02:43,840 --> 00:02:46,920 Speaker 3: hit by this idiosyncratic shock of China's slowing down. So 48 00:02:46,960 --> 00:02:49,600 Speaker 3: it does have some important implications for commodities and the 49 00:02:49,639 --> 00:02:50,480 Speaker 3: global business side. 50 00:02:50,600 --> 00:02:53,320 Speaker 2: Turst In going back to your Excel spreadsheets, Deutsche Bank, 51 00:02:53,520 --> 00:02:56,400 Speaker 2: can you model out of five percent growth in China? 52 00:02:56,480 --> 00:02:59,960 Speaker 2: Can you model out a solid Pacific rim economy? 53 00:03:01,720 --> 00:03:04,480 Speaker 3: Well, the challenge is, of course that if growth is 54 00:03:04,600 --> 00:03:07,960 Speaker 3: gradually slowing in China, then it will have implications not 55 00:03:08,000 --> 00:03:10,120 Speaker 3: only for of course for commodity exporters, and not only 56 00:03:10,200 --> 00:03:13,200 Speaker 3: for Germany, but also for the neighboring countries. Let's not 57 00:03:13,280 --> 00:03:16,880 Speaker 3: forget that a significant part of global trade is intra 58 00:03:18,240 --> 00:03:22,600 Speaker 3: regional trade flows between China that produces some parts of 59 00:03:22,639 --> 00:03:26,080 Speaker 3: a good that then is exported to Indonesia, to Vietnam, 60 00:03:26,160 --> 00:03:28,960 Speaker 3: tou Las and Cambodia and then finally ends up being 61 00:03:28,960 --> 00:03:31,600 Speaker 3: consumed by a consumer in Europe and in the US. 62 00:03:31,760 --> 00:03:35,520 Speaker 3: So it does have negative implications also for the rest ofvation. 63 00:03:36,200 --> 00:03:38,440 Speaker 2: Turst and I want to talk about what we're witnessing 64 00:03:38,520 --> 00:03:40,960 Speaker 2: right now. Paul and I were talking about this morning, folks. 65 00:03:40,960 --> 00:03:44,600 Speaker 2: You at three am meeting this morning. Lisa attended, my 66 00:03:44,800 --> 00:03:50,000 Speaker 2: head is spinning with Trump's second administration news. Do you 67 00:03:50,080 --> 00:03:53,720 Speaker 2: and Frankly do all of Apollo Global Management see a 68 00:03:53,800 --> 00:03:58,120 Speaker 2: cohesive plan here that lifts the American economy or is 69 00:03:58,160 --> 00:04:01,560 Speaker 2: it so ad hoc you can't come up with a theme? 70 00:04:03,040 --> 00:04:05,480 Speaker 3: Well? I do think for markets there were obviously a 71 00:04:05,520 --> 00:04:08,360 Speaker 3: lot of executive orders, and trust me, we study them 72 00:04:08,520 --> 00:04:10,840 Speaker 3: very very carefully because of course, wait, whoa. 73 00:04:10,680 --> 00:04:14,320 Speaker 2: Whoa, whoa whoa? Has Mark Rowan ever done an executive order? Apollo? 74 00:04:16,440 --> 00:04:19,000 Speaker 3: Well, the executive orders here, of course for us in 75 00:04:19,040 --> 00:04:21,320 Speaker 3: markets is all about trying to figure out what are 76 00:04:21,360 --> 00:04:24,200 Speaker 3: the implications for macro, and I do think there are 77 00:04:24,240 --> 00:04:27,320 Speaker 3: three areas where things will have implications for macro, and 78 00:04:27,360 --> 00:04:30,640 Speaker 3: that is tariffs. Of course, it is about immigration, and 79 00:04:30,680 --> 00:04:33,479 Speaker 3: it's also about potentially lower in corporate taxes for domestic 80 00:04:33,520 --> 00:04:37,400 Speaker 3: manufacturers to fifteen percent. If you impose tariffs, it's inflationary. 81 00:04:37,640 --> 00:04:40,839 Speaker 3: If you restrict immigration, or do deportations. It will also 82 00:04:40,880 --> 00:04:44,240 Speaker 3: be inflationary, in particular in the sexors where the illegal 83 00:04:44,279 --> 00:04:48,599 Speaker 3: immigrants work. According to Pew, they work in agriculture, in construction, 84 00:04:48,920 --> 00:04:51,760 Speaker 3: and in services including restaurants. You will see wage inflation 85 00:04:52,080 --> 00:04:55,279 Speaker 3: in those sexes. If you do serious deportations, and if 86 00:04:55,320 --> 00:04:58,840 Speaker 3: you do serious restrictions of immigration, so both tariffs and 87 00:04:59,160 --> 00:05:02,760 Speaker 3: restrictions of immigration, we'll probably have some lift to inflation. And 88 00:05:02,800 --> 00:05:04,680 Speaker 3: the problem for the FED and for the economy and 89 00:05:04,680 --> 00:05:07,719 Speaker 3: for markets is that inflation is already around three percent. 90 00:05:07,720 --> 00:05:10,520 Speaker 3: We're just not quite yet at two. We're more at 91 00:05:10,560 --> 00:05:13,039 Speaker 3: two than where we were at nine, but we're still 92 00:05:13,040 --> 00:05:15,200 Speaker 3: not quite at two. So if you now add policies 93 00:05:15,360 --> 00:05:18,919 Speaker 3: that run the risk of lifting even modestly inflation, it 94 00:05:19,040 --> 00:05:21,920 Speaker 3: unfortunately it is because the starting point at three percent 95 00:05:22,240 --> 00:05:24,600 Speaker 3: is just creating all these problems in long rates, and 96 00:05:24,640 --> 00:05:26,320 Speaker 3: of course also all these problems for the FED. 97 00:05:26,960 --> 00:05:29,799 Speaker 4: Jamie diamond Is is speaking in Davos as we speak 98 00:05:29,800 --> 00:05:32,359 Speaker 4: towards it, and he's out there as it relates to tariffs. 99 00:05:32,800 --> 00:05:36,480 Speaker 4: While tears may cause some inflation, he've used them as 100 00:05:36,520 --> 00:05:37,920 Speaker 4: an economic weapon. 101 00:05:38,760 --> 00:05:40,240 Speaker 5: Are they a valid economic weapon? 102 00:05:40,279 --> 00:05:40,680 Speaker 2: Do you think? 103 00:05:41,800 --> 00:05:42,040 Speaker 1: Well? 104 00:05:42,320 --> 00:05:46,880 Speaker 3: I mean, whatever the exact motivation is and whatever the 105 00:05:46,920 --> 00:05:50,800 Speaker 3: exact outcome will be. It is absolutely clear by definition 106 00:05:51,080 --> 00:05:53,280 Speaker 3: that if you raise the price of all goods that 107 00:05:53,320 --> 00:05:56,360 Speaker 3: come from China by sixty percent, and therefore everything that 108 00:05:56,400 --> 00:05:59,400 Speaker 3: we buy in the supermarket will increase in very round 109 00:05:59,440 --> 00:06:02,640 Speaker 3: numbers by sixty percent, it will have a direct hit 110 00:06:02,839 --> 00:06:06,400 Speaker 3: to inflation. So to what degree we get that, and 111 00:06:06,440 --> 00:06:09,080 Speaker 3: now Trump talked about also that we might get before 112 00:06:09,560 --> 00:06:11,680 Speaker 3: at the end of next week some tariffs twenty five 113 00:06:11,680 --> 00:06:14,640 Speaker 3: percent on Canada and Mexico. It all remains to be 114 00:06:14,640 --> 00:06:17,039 Speaker 3: seen exactly. Betting markets also have a view on whether 115 00:06:17,120 --> 00:06:20,320 Speaker 3: this is happening or not. We study every aspect of 116 00:06:20,360 --> 00:06:23,200 Speaker 3: this and we try to exactly make an assessment off 117 00:06:23,440 --> 00:06:25,680 Speaker 3: what's coming and what might the implications be. But the 118 00:06:25,680 --> 00:06:28,880 Speaker 3: bottom line is that it will have some implications for inflation. 119 00:06:28,960 --> 00:06:31,479 Speaker 3: And that's exactly why it rates and the Trump premium 120 00:06:31,560 --> 00:06:34,640 Speaker 3: have gone up so much, because the implications could potentially 121 00:06:34,680 --> 00:06:35,960 Speaker 3: be quite serious. 122 00:06:36,160 --> 00:06:38,600 Speaker 2: Turst and Slack with us with a Polo Global Management. 123 00:06:38,760 --> 00:06:40,960 Speaker 2: Welcome all of you on your commute this morning. Be 124 00:06:41,040 --> 00:06:44,960 Speaker 2: careful out there for much of the nation. Nineteen seventy seven, 125 00:06:45,720 --> 00:06:50,279 Speaker 2: cold good morning to Chicago. Seven above zero on YouTube. 126 00:06:50,320 --> 00:06:54,359 Speaker 2: Subscribe to Bloomberg Podcast after your commute in your office 127 00:06:54,520 --> 00:06:57,240 Speaker 2: at your home. YouTube is the best way to get 128 00:06:57,320 --> 00:07:01,160 Speaker 2: the handsome, tanned, unrested Paul Sweeney, or the tanned and 129 00:07:01,320 --> 00:07:07,120 Speaker 2: rested Lisa Matteo, or the pasty white puke as well. 130 00:07:07,200 --> 00:07:10,640 Speaker 2: We continue with slock of Apoll of Global Management Torson. 131 00:07:10,720 --> 00:07:14,200 Speaker 4: Let's step back here and just think about this US economy. 132 00:07:14,200 --> 00:07:16,400 Speaker 5: What are the biggest headwinds here? 133 00:07:16,440 --> 00:07:18,600 Speaker 4: Because it seems like, certainly relative to the rest of 134 00:07:18,640 --> 00:07:21,480 Speaker 4: the world, the US is doing very well. What are 135 00:07:21,480 --> 00:07:22,720 Speaker 4: some of the headwinds you see out there for this 136 00:07:22,760 --> 00:07:23,640 Speaker 4: economy potentially? 137 00:07:24,120 --> 00:07:26,480 Speaker 3: Yeah, this is very important because if we just spoke 138 00:07:26,520 --> 00:07:29,160 Speaker 3: about what the headwinds are to the rest of the world, namely, 139 00:07:29,480 --> 00:07:32,800 Speaker 3: China is slowing down. Europe, on top of China's blowing down, 140 00:07:32,920 --> 00:07:36,840 Speaker 3: is also experiencing some headwinds from energy transition. There's also 141 00:07:36,880 --> 00:07:39,560 Speaker 3: some challenges with politics in Europe. We will have a 142 00:07:39,600 --> 00:07:42,239 Speaker 3: German election in February, where a French election in July. 143 00:07:42,720 --> 00:07:45,520 Speaker 3: Of course, when they are settled and we'll have some 144 00:07:45,560 --> 00:07:48,680 Speaker 3: more idea about exactly what direction Europe is going. For 145 00:07:48,760 --> 00:07:51,040 Speaker 3: the US, it is the case that at the moment, 146 00:07:51,040 --> 00:07:53,760 Speaker 3: there are actually some very unique tailwinds. First of all, 147 00:07:54,200 --> 00:07:57,840 Speaker 3: US consumers are not very sensitive to interest rate hikes. 148 00:07:57,840 --> 00:07:59,720 Speaker 3: We just found out over the last two years that 149 00:08:00,160 --> 00:08:03,240 Speaker 3: though the FED raise rates because ninety five percent of 150 00:08:03,280 --> 00:08:06,080 Speaker 3: mortgages are thirty at fixed rate, it really ended up 151 00:08:06,080 --> 00:08:09,160 Speaker 3: being that the transmission mechanism of monetary policy in the 152 00:08:09,240 --> 00:08:12,720 Speaker 3: US was quite muted simply because consumers were locked in 153 00:08:12,960 --> 00:08:15,680 Speaker 3: and their mortgages at very low interest rates. Likewise, the 154 00:08:15,840 --> 00:08:18,600 Speaker 3: US we now have at data center boom that is 155 00:08:18,680 --> 00:08:21,040 Speaker 3: adding in round numbers around zero point two percent of 156 00:08:21,120 --> 00:08:23,840 Speaker 3: GDP growth every year. And finally, we also still have 157 00:08:23,880 --> 00:08:26,840 Speaker 3: fiscal policy even before Trump coming from the Chipsacked Inflation 158 00:08:26,920 --> 00:08:29,080 Speaker 3: of Douction Act Infrastructure Act. So the tailwinds to the 159 00:08:29,160 --> 00:08:32,400 Speaker 3: US outlook are quite unique. So therefore also your question, 160 00:08:32,559 --> 00:08:36,080 Speaker 3: I see more decoupling where the US is doing well 161 00:08:36,200 --> 00:08:38,600 Speaker 3: because of some unique sources of growth in the US, 162 00:08:38,760 --> 00:08:41,200 Speaker 3: and the rest of the world unfortunately continues to do 163 00:08:41,280 --> 00:08:43,920 Speaker 3: less well because of some unique headwinds that are not 164 00:08:44,160 --> 00:08:45,760 Speaker 3: headwinds to the US economic outlook. 165 00:08:45,800 --> 00:08:49,520 Speaker 2: It tursted, it seems like almost a bipolar American economy. 166 00:08:49,559 --> 00:08:52,760 Speaker 2: It is just so odd here, how I guess we've 167 00:08:52,800 --> 00:08:56,400 Speaker 2: got a consumption boom. I guess the haves do better 168 00:08:56,520 --> 00:09:01,040 Speaker 2: and better. Do you see the compendium of statements by 169 00:09:01,040 --> 00:09:06,040 Speaker 2: the new Trump administration leading to a broad economic growth 170 00:09:06,600 --> 00:09:09,280 Speaker 2: or does it stay and I'm using this firm not medically, 171 00:09:09,320 --> 00:09:12,079 Speaker 2: but does it stay barbell or bipolar? 172 00:09:13,320 --> 00:09:16,160 Speaker 3: You're absolutely right. If you look at the linguisy rates 173 00:09:16,160 --> 00:09:18,600 Speaker 3: on auto loans, the linguisgy rates on credit cards from 174 00:09:18,640 --> 00:09:21,480 Speaker 3: the New York Fit, it tells you that younger people 175 00:09:21,600 --> 00:09:24,160 Speaker 3: are falling behind at a pace that is faster than 176 00:09:24,200 --> 00:09:27,080 Speaker 3: older people. And why is that important? Because when I'm young, 177 00:09:27,160 --> 00:09:29,360 Speaker 3: I have more debt. I have more debt on my car, 178 00:09:29,480 --> 00:09:31,040 Speaker 3: more det on my credit card, more that on my 179 00:09:31,080 --> 00:09:33,640 Speaker 3: student loan. So that's why younger households are falling behind, 180 00:09:33,679 --> 00:09:36,240 Speaker 3: because they are hot to hit by the FIT raising 181 00:09:36,280 --> 00:09:39,360 Speaker 3: interest rates. Likewise, you also see savings for low income 182 00:09:39,360 --> 00:09:42,000 Speaker 3: households are very low, whereas savings for high income houses 183 00:09:42,080 --> 00:09:46,320 Speaker 3: are very high. So to your question, this bifurcated situation 184 00:09:46,480 --> 00:09:49,080 Speaker 3: where high end consumers are doing well at lower in 185 00:09:49,080 --> 00:09:52,920 Speaker 3: consumers are facing hit. When I think that overall this 186 00:09:53,280 --> 00:09:56,160 Speaker 3: of course economy, if we continue to create jobs, it 187 00:09:56,200 --> 00:09:58,840 Speaker 3: will benefit everyone. If we do begin to see interest 188 00:09:58,920 --> 00:10:01,760 Speaker 3: rates go down, we will if everyone including low end 189 00:10:01,760 --> 00:10:04,400 Speaker 3: consumers who have more debt. So I do expect that 190 00:10:04,720 --> 00:10:07,840 Speaker 3: a stronger economy is something that will be benefiting everyone 191 00:10:08,000 --> 00:10:09,360 Speaker 3: across the income distribution. 192 00:10:09,559 --> 00:10:13,000 Speaker 2: Turist in to tariffs and on the magnitude. Paul Krugman 193 00:10:13,080 --> 00:10:18,040 Speaker 2: with US recently really discussed the harmlessness of two or 194 00:10:18,080 --> 00:10:23,079 Speaker 2: three percent tariffs. Where is the slock level where terrffs 195 00:10:23,320 --> 00:10:28,200 Speaker 2: really begin to affect our culture in our macroeconomics. 196 00:10:28,760 --> 00:10:31,560 Speaker 3: Well, if you look at the Tax Foundation calculations, they 197 00:10:31,640 --> 00:10:33,880 Speaker 3: show you that if you do sixty percent on China 198 00:10:34,160 --> 00:10:37,120 Speaker 3: and twenty five percent on Canada Mexico and ten percent 199 00:10:37,160 --> 00:10:39,400 Speaker 3: on Europe, you will see the level of terrorists go 200 00:10:39,480 --> 00:10:41,840 Speaker 3: up in agricate to eighteen percent, which is the same 201 00:10:41,920 --> 00:10:44,600 Speaker 3: level as we had in the nineteen thirties, which of 202 00:10:44,600 --> 00:10:47,560 Speaker 3: course was a very bad economic situation. So if you 203 00:10:47,600 --> 00:10:50,920 Speaker 3: do get tariffs that are going all the way up 204 00:10:50,960 --> 00:10:54,320 Speaker 3: to the highest levels of everything that has been talked about, 205 00:10:54,559 --> 00:10:56,960 Speaker 3: then I do worry about what the implications could be 206 00:10:56,960 --> 00:10:59,080 Speaker 3: because the simplest way that I think about it is 207 00:10:59,120 --> 00:11:02,200 Speaker 3: that everything that I would buy in stores if that 208 00:11:02,280 --> 00:11:04,440 Speaker 3: goes up by sixty percent, and if my new car 209 00:11:04,520 --> 00:11:07,520 Speaker 3: on average would go up by three thousand dollars. If 210 00:11:07,520 --> 00:11:10,240 Speaker 3: you have broadly speaking, every good that we import goes 211 00:11:10,280 --> 00:11:13,040 Speaker 3: up in price, it would certainly have the implication that 212 00:11:13,040 --> 00:11:16,040 Speaker 3: inflation would be going up and demand and therefore sales 213 00:11:16,080 --> 00:11:18,400 Speaker 3: of goods that are imported would go down. And the 214 00:11:18,440 --> 00:11:21,679 Speaker 3: economy is just not able to quickly adjust and produce 215 00:11:21,720 --> 00:11:24,040 Speaker 3: these goods at home. So that would run the risk 216 00:11:24,360 --> 00:11:27,160 Speaker 3: essentially of creating inflation at the same time, also as 217 00:11:27,160 --> 00:11:30,480 Speaker 3: a slowdown in GDP. So I do watch and we 218 00:11:30,520 --> 00:11:33,240 Speaker 3: spent quite some time looking at exactly at what are 219 00:11:33,280 --> 00:11:35,920 Speaker 3: the indications and what areas is it where tariffs are 220 00:11:35,960 --> 00:11:37,720 Speaker 3: being talked about Touristan. 221 00:11:37,840 --> 00:11:40,079 Speaker 4: Talk just about the consumer here right here, it seems 222 00:11:40,120 --> 00:11:42,520 Speaker 4: like the consumer here in the US has a job, 223 00:11:42,960 --> 00:11:46,679 Speaker 4: wages are rising, maybe even rising faster than inflation. 224 00:11:47,679 --> 00:11:49,319 Speaker 5: Talk just about the US consumer. 225 00:11:48,960 --> 00:11:53,760 Speaker 3: Here absolutely So if you on your Bloomberg screen type 226 00:11:54,200 --> 00:11:57,400 Speaker 3: red book same store retail sales, this is a weekly 227 00:11:57,520 --> 00:12:00,120 Speaker 3: data series, you will see that the Weekly Day in 228 00:12:00,200 --> 00:12:02,800 Speaker 3: which comes out every Tuesday at nine am, is still 229 00:12:02,800 --> 00:12:06,560 Speaker 3: showing a consumer that's growing, a very solid growth. Growth 230 00:12:06,640 --> 00:12:09,360 Speaker 3: has been around five six percent literally for the last 231 00:12:09,400 --> 00:12:11,560 Speaker 3: world months. And this is on a weekly basis that 232 00:12:11,640 --> 00:12:15,400 Speaker 3: compares Thames doonll sales for retailers this week compared to 233 00:12:15,440 --> 00:12:18,760 Speaker 3: the same week a year ago. So in aggregate consumption 234 00:12:18,880 --> 00:12:21,520 Speaker 3: is very strong. Another good boom pack trip. If you 235 00:12:21,720 --> 00:12:23,959 Speaker 3: time e CFC go, you will see that what does 236 00:12:24,000 --> 00:12:27,760 Speaker 3: the consensus expect for the consumer for the next six quarters? 237 00:12:27,800 --> 00:12:30,200 Speaker 3: And the answer Polse to that question is also that 238 00:12:30,440 --> 00:12:33,000 Speaker 3: we should also expect to see the consumer continue to 239 00:12:33,000 --> 00:12:36,160 Speaker 3: do well simply because of we still have tailwinds from 240 00:12:36,440 --> 00:12:38,720 Speaker 3: high rate wage growth and still strong employment. 241 00:12:38,760 --> 00:12:41,840 Speaker 2: Doctor slock twenty seconds. Is the FED meeting end of 242 00:12:41,920 --> 00:12:43,720 Speaker 2: January going to be a snooze fest? 243 00:12:44,000 --> 00:12:46,520 Speaker 3: I think it will have a risk of being as newsfest. 244 00:12:46,520 --> 00:12:49,280 Speaker 3: They have already signaled and markets uprising in ninety eight 245 00:12:49,280 --> 00:12:51,840 Speaker 3: percent likelihood that they will do nothing. But the challenge, 246 00:12:51,880 --> 00:12:54,120 Speaker 3: of course is as usual the press conference. What wile 247 00:12:54,200 --> 00:12:57,360 Speaker 3: JPOW say all these risks that we're talking about here, 248 00:12:57,480 --> 00:13:00,000 Speaker 3: it's really complicating the FEDS job very significantly. 249 00:13:00,080 --> 00:13:02,640 Speaker 2: Turstan, thank you so much. Your notes in the morning 250 00:13:02,679 --> 00:13:05,680 Speaker 2: and along the day are hugely avaluable to all of 251 00:13:05,760 --> 00:13:10,480 Speaker 2: us on Team Surveillance. Mister slock with Apollo Global Management. 252 00:13:16,520 --> 00:13:20,080 Speaker 1: You're listening to the Bloomberg Surveillance Podcast. Catch us live 253 00:13:20,160 --> 00:13:23,360 Speaker 1: weekday afternoons from seven to ten am Eastern. Listen on 254 00:13:23,400 --> 00:13:27,080 Speaker 1: Applecarplay and Android Auto with the Bloomberg Business Up, or 255 00:13:27,240 --> 00:13:29,199 Speaker 1: watch us live on YouTube right now. 256 00:13:29,200 --> 00:13:31,679 Speaker 2: Stuff guilder with us here to get the market open 257 00:13:31,800 --> 00:13:36,640 Speaker 2: with Robinhood, I don't get much exuberance here. It's just 258 00:13:36,920 --> 00:13:39,920 Speaker 2: a lift. What do you see it, Robin Hood. 259 00:13:41,200 --> 00:13:45,720 Speaker 6: We see a lot of enthusiasm for investing in the market, 260 00:13:45,760 --> 00:13:50,440 Speaker 6: but we continue to also see our customers trade around 261 00:13:50,440 --> 00:13:53,599 Speaker 6: the volatility of the stocks. So, for example, Tesla was 262 00:13:53,679 --> 00:13:56,040 Speaker 6: up a lot, you know, in December, and that was 263 00:13:56,080 --> 00:13:59,439 Speaker 6: the source of funding for other adding to other places 264 00:13:59,440 --> 00:14:01,720 Speaker 6: that maybe had done had not done so well. 265 00:14:02,679 --> 00:14:04,839 Speaker 4: How did you kind of, if at all, change kind 266 00:14:04,840 --> 00:14:06,880 Speaker 4: of your investment out look for twenty twenty five given 267 00:14:06,920 --> 00:14:08,840 Speaker 4: what happened with the election and kind of what we 268 00:14:08,880 --> 00:14:09,160 Speaker 4: now know. 269 00:14:09,200 --> 00:14:10,120 Speaker 2: Did anything really. 270 00:14:10,440 --> 00:14:11,079 Speaker 5: Change for you guys? 271 00:14:11,240 --> 00:14:14,520 Speaker 6: Nothing's really changed, Like it's actually been so far working 272 00:14:14,559 --> 00:14:18,439 Speaker 6: out the way we had called for. You know, I'm 273 00:14:18,440 --> 00:14:21,040 Speaker 6: a little worried about rates going above, like I said, 274 00:14:21,080 --> 00:14:23,000 Speaker 6: around the four and a half percent mark with risk 275 00:14:23,080 --> 00:14:25,240 Speaker 6: to five percent, it got to four point eight. It's 276 00:14:25,320 --> 00:14:27,920 Speaker 6: kind of back down again. It could go hire them, 277 00:14:28,000 --> 00:14:29,640 Speaker 6: I mean, it could go higher them five to. 278 00:14:29,680 --> 00:14:32,920 Speaker 2: Cut to the chase your shop. I mean, remember the 279 00:14:33,040 --> 00:14:37,000 Speaker 2: spac idiocy or the memes? Is it me me? Now? 280 00:14:37,160 --> 00:14:38,440 Speaker 2: I don't feel like it is. 281 00:14:38,520 --> 00:14:39,680 Speaker 6: I don't think it's me me at all? 282 00:14:39,880 --> 00:14:41,120 Speaker 2: Why? Why is it not? 283 00:14:41,280 --> 00:14:44,880 Speaker 6: Mean because our levels were it because our customers are 284 00:14:44,920 --> 00:14:47,480 Speaker 6: investing in companies that have true earnings growth? 285 00:14:48,480 --> 00:14:50,760 Speaker 5: What's a typical Robin Hood customer? 286 00:14:51,400 --> 00:14:54,640 Speaker 6: Who was a typical So we actually put all these 287 00:14:54,640 --> 00:14:56,400 Speaker 6: stats out for Investor Day, so I have some good 288 00:14:56,400 --> 00:15:01,320 Speaker 6: ones in my head. Now, we're about fifty percent percent millennials, 289 00:15:01,600 --> 00:15:04,920 Speaker 6: twenty percent Gen X, and then the remaining thirty percent 290 00:15:05,000 --> 00:15:06,400 Speaker 6: amongst Gen Z and younger. 291 00:15:07,480 --> 00:15:10,960 Speaker 2: We have so there's like boomer free, boomer free, well 292 00:15:11,040 --> 00:15:13,240 Speaker 2: Gen X, you know, depends on how old you are. 293 00:15:15,960 --> 00:15:21,760 Speaker 6: You definitely sixty percent male, forty percent female. You know, 294 00:15:21,760 --> 00:15:26,040 Speaker 6: we have a mix of income levels, you know, sort 295 00:15:26,080 --> 00:15:28,080 Speaker 6: of on the younger side, about sixty percent of them 296 00:15:28,080 --> 00:15:31,680 Speaker 6: are married. You know, it's it's kind of like it's 297 00:15:31,680 --> 00:15:33,600 Speaker 6: the next generation and beyond. 298 00:15:33,720 --> 00:15:37,880 Speaker 5: Did they mean divorced, Yes, exactly. 299 00:15:37,400 --> 00:15:39,640 Speaker 6: Twenty actually twenty percent said they were divorced. 300 00:15:39,680 --> 00:15:43,560 Speaker 5: Okay, So what are they more on the growth side? 301 00:15:43,960 --> 00:15:46,720 Speaker 4: Are they overweight? Maybe some of these mags seven's what 302 00:15:46,800 --> 00:15:48,240 Speaker 4: types of stocks do they? 303 00:15:48,280 --> 00:15:48,560 Speaker 2: Typic? 304 00:15:48,560 --> 00:15:49,800 Speaker 5: Do you find them typically investients? 305 00:15:49,920 --> 00:15:51,440 Speaker 6: Yeah, at the top of us so we have someone 306 00:15:51,480 --> 00:15:54,320 Speaker 6: called the Robinhood Investor Index, and at the top has 307 00:15:54,360 --> 00:15:56,560 Speaker 6: been consistently Tesla. 308 00:15:56,840 --> 00:15:57,240 Speaker 2: Okay. 309 00:15:57,520 --> 00:15:59,960 Speaker 6: And I do think that there is just a cultural 310 00:16:00,560 --> 00:16:04,040 Speaker 6: like true belief and Elon and what he does. I 311 00:16:04,040 --> 00:16:06,400 Speaker 6: think beyond that, then you look at what I call 312 00:16:06,760 --> 00:16:09,000 Speaker 6: sort of at least for a while, like the utility companies, 313 00:16:09,080 --> 00:16:12,200 Speaker 6: like Apple's utility company, and it's kind of been showing 314 00:16:12,240 --> 00:16:16,880 Speaker 6: that to me from a return perspective recently. But then 315 00:16:16,920 --> 00:16:21,160 Speaker 6: you've got Microsoft at Navidia, and then you've got some 316 00:16:21,760 --> 00:16:26,040 Speaker 6: you know, belief in electric vehicles. Beyond Tesla, about twenty 317 00:16:26,080 --> 00:16:28,920 Speaker 6: percent of the index has been invested in various electric vehicles. 318 00:16:29,280 --> 00:16:31,640 Speaker 6: You are customers are average median age is thirty four, 319 00:16:31,680 --> 00:16:33,560 Speaker 6: so they do have a longer time horizon to make 320 00:16:33,600 --> 00:16:36,920 Speaker 6: their investments, and they are believing it. Like Ford has 321 00:16:36,960 --> 00:16:39,760 Speaker 6: been at the top of that for a while, Disney 322 00:16:39,880 --> 00:16:41,520 Speaker 6: like you you know, because Ford is trying to get 323 00:16:41,560 --> 00:16:45,040 Speaker 6: into the ev game and grow their business and then 324 00:16:45,280 --> 00:16:46,880 Speaker 6: you know, at the bottom, you've got some lots of 325 00:16:46,880 --> 00:16:47,880 Speaker 6: stuff that come in and out. 326 00:16:48,520 --> 00:16:51,280 Speaker 2: I want to get to this after we open the market. Yeah, 327 00:16:51,280 --> 00:16:54,239 Speaker 2: but are you a bull now? Are you a convicted 328 00:16:54,320 --> 00:16:56,040 Speaker 2: you know in terms of your strategy. 329 00:16:56,920 --> 00:16:59,520 Speaker 6: I mean my call since like early December when I 330 00:16:59,560 --> 00:17:01,720 Speaker 6: put together my outlook was sixty five hundred on the 331 00:17:01,760 --> 00:17:04,200 Speaker 6: S and P. That's at the lower end of the 332 00:17:04,200 --> 00:17:08,960 Speaker 6: Wall Street estimates. More bullish on midcaps. So far here 333 00:17:09,000 --> 00:17:11,960 Speaker 6: to date, midcaps have actually been out performing large gaps, 334 00:17:11,960 --> 00:17:15,040 Speaker 6: although maybe after today that and after earnings that starts 335 00:17:15,040 --> 00:17:18,119 Speaker 6: to change. I think you can't cant out the count 336 00:17:18,160 --> 00:17:20,240 Speaker 6: out the large cap techniques. They just have so much 337 00:17:20,280 --> 00:17:23,600 Speaker 6: clout in this administration and so much power that comes 338 00:17:23,640 --> 00:17:24,119 Speaker 6: from money. 339 00:17:24,200 --> 00:17:27,920 Speaker 2: We're Steph Guild of Robinhood and the mag seven. I mean, 340 00:17:27,960 --> 00:17:31,280 Speaker 2: they just continue to even if they've got a high multiple, 341 00:17:31,280 --> 00:17:33,560 Speaker 2: they earn into their multiple. Right is that simple? 342 00:17:33,600 --> 00:17:35,600 Speaker 6: As I said, like before we kind of got to 343 00:17:35,600 --> 00:17:37,880 Speaker 6: the open, I think there's they just have so much 344 00:17:37,920 --> 00:17:40,080 Speaker 6: cloud in this administration. They have a lot of cash 345 00:17:40,080 --> 00:17:44,800 Speaker 6: in their balance sheets. They are dominating the AI innovation 346 00:17:45,200 --> 00:17:48,680 Speaker 6: like this it's it's hard to see when this could 347 00:17:48,680 --> 00:17:50,919 Speaker 6: stop other than just we haven't really gotten to the 348 00:17:50,960 --> 00:17:56,320 Speaker 6: tough stuff when it comes to our deficit and interest rates, 349 00:17:56,320 --> 00:17:58,920 Speaker 6: and that, back to me, is the headwind. The other 350 00:17:58,960 --> 00:18:01,680 Speaker 6: headwind is just enter like being able to have enough 351 00:18:01,800 --> 00:18:05,560 Speaker 6: energy for all the infrastructure that needs to be yep. 352 00:18:05,720 --> 00:18:07,960 Speaker 4: On the MidCap space. This is a name near and 353 00:18:08,000 --> 00:18:09,560 Speaker 4: dear to Tom's Hart the gap. 354 00:18:09,840 --> 00:18:11,679 Speaker 5: Why is a gap screen for you guys? 355 00:18:12,080 --> 00:18:15,760 Speaker 6: It's I mean, it's it's certainly inexpensive relative to it's 356 00:18:15,800 --> 00:18:18,119 Speaker 6: certainly relative to its history. It's been an adultrums for 357 00:18:18,119 --> 00:18:21,160 Speaker 6: a long time. It's at ten point eight times next 358 00:18:21,160 --> 00:18:24,280 Speaker 6: twelve months earnings, but it's also cheaper than its peers. 359 00:18:25,000 --> 00:18:27,000 Speaker 6: I just think that the new CVIOO came in in 360 00:18:27,040 --> 00:18:29,119 Speaker 6: twenty twenty three, he's had some time to start turning 361 00:18:29,160 --> 00:18:31,800 Speaker 6: things around. They are paying down debt. They brought in 362 00:18:31,880 --> 00:18:36,000 Speaker 6: Zach Posen to kind of influence what product they're going 363 00:18:36,040 --> 00:18:38,320 Speaker 6: to put out. Like it's just you know, and also 364 00:18:38,440 --> 00:18:40,480 Speaker 6: technically it just crossed over. It's one hundred and fifty 365 00:18:40,560 --> 00:18:43,320 Speaker 6: day moving average over the last one year, so there's 366 00:18:43,359 --> 00:18:47,040 Speaker 6: just some tailwinds I think behind it. It is still 367 00:18:47,080 --> 00:18:48,640 Speaker 6: I'd say a little bit of a show me stock 368 00:18:48,720 --> 00:18:52,800 Speaker 6: because the company is in the retail sector that is competitive. 369 00:18:53,560 --> 00:18:55,879 Speaker 6: About sixty percent of its earnings come from Old Navy, 370 00:18:55,920 --> 00:18:58,280 Speaker 6: so a lot of that will depend on what happens there, 371 00:18:58,359 --> 00:19:00,879 Speaker 6: which is the lower price consumer space. 372 00:19:01,040 --> 00:19:02,920 Speaker 4: It's got a nine point three billion dollar market cap 373 00:19:02,960 --> 00:19:06,399 Speaker 4: and it's over the past twelve months up thirty percent there. 374 00:19:06,680 --> 00:19:08,840 Speaker 4: So when you think about a name late the gap, 375 00:19:09,080 --> 00:19:10,720 Speaker 4: is that a call your call? Does that reflect your 376 00:19:10,760 --> 00:19:13,200 Speaker 4: call in the consumer or is it kind of specific 377 00:19:13,480 --> 00:19:14,119 Speaker 4: for this story. 378 00:19:14,200 --> 00:19:15,960 Speaker 6: I think it's both. Like I really think we're in 379 00:19:16,000 --> 00:19:17,960 Speaker 6: a and I keep saying this all the time in 380 00:19:18,000 --> 00:19:20,760 Speaker 6: a stock pickers market, like Peter Lynch famously said, the 381 00:19:20,800 --> 00:19:22,840 Speaker 6: person who picks over the most rocks wins. And I 382 00:19:22,840 --> 00:19:24,959 Speaker 6: do think we're in that environment because we have higher 383 00:19:25,760 --> 00:19:28,120 Speaker 6: interest rates are going to staytubborn. Okay, if you look 384 00:19:28,119 --> 00:19:30,840 Speaker 6: at over the last like thirty years, have FED did 385 00:19:30,840 --> 00:19:35,159 Speaker 6: a paper forty two percent of earnings growth over that 386 00:19:35,240 --> 00:19:38,840 Speaker 6: period from nineteen eight nine to twenty twenty nineteen what 387 00:19:39,000 --> 00:19:43,680 Speaker 6: came from tax cuts and interest rate drops. And so 388 00:19:43,760 --> 00:19:47,000 Speaker 6: I think we're an environment where like company management decisions 389 00:19:47,160 --> 00:19:50,400 Speaker 6: and what they're doing with their company, how they're looking 390 00:19:50,400 --> 00:19:52,040 Speaker 6: to grow it matters more than ever. 391 00:19:52,600 --> 00:19:54,800 Speaker 2: Thank you, Steff. That's been great stuff cool. Thank you 392 00:19:54,840 --> 00:19:57,240 Speaker 2: so much with Robin hood this point. 393 00:19:57,359 --> 00:20:01,240 Speaker 1: This is the Bloomberg Surveillance Podcast in live each weekday 394 00:20:01,280 --> 00:20:04,600 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 395 00:20:04,720 --> 00:20:07,680 Speaker 1: with the Bloomberg Business app. You can also listen live 396 00:20:07,760 --> 00:20:11,359 Speaker 1: on Amazon Alexa from our flagship New York station, Just 397 00:20:11,400 --> 00:20:13,879 Speaker 1: say Alexa play Bloomberg eleven thirty. 398 00:20:14,080 --> 00:20:17,440 Speaker 2: Because I like never watch Netflix. I'm like the least 399 00:20:17,560 --> 00:20:18,600 Speaker 2: qualified person. 400 00:20:18,720 --> 00:20:19,920 Speaker 5: You're not a squid Game guy. 401 00:20:20,200 --> 00:20:22,920 Speaker 2: No, no, Lisa, do you watch squid Game? No? 402 00:20:23,000 --> 00:20:27,520 Speaker 5: I do not my kids. It's more gruesome. Robert Shift, 403 00:20:28,119 --> 00:20:29,800 Speaker 5: I think, Oh, I think maybe he's got a cameo. 404 00:20:29,880 --> 00:20:33,840 Speaker 4: Robert Fishman joint just senior research analyst at mof AT. 405 00:20:33,920 --> 00:20:36,520 Speaker 4: Nathan sent our good friends over there doing some great 406 00:20:36,560 --> 00:20:41,119 Speaker 4: work on the media, entertainment, telecom business. Hey, Robert, I 407 00:20:41,160 --> 00:20:43,960 Speaker 4: was just reading your research note from this morning. Like 408 00:20:44,000 --> 00:20:46,159 Speaker 4: a lot of analysts and a lot of investors, this 409 00:20:46,280 --> 00:20:49,720 Speaker 4: company continues to surprise on the upside in terms of 410 00:20:49,760 --> 00:20:50,960 Speaker 4: its subscriber growth. 411 00:20:51,200 --> 00:20:52,399 Speaker 5: What did they report this quarter? 412 00:20:53,600 --> 00:20:57,120 Speaker 7: Yeah, good morning, Thank you for having me so remarkably, 413 00:20:57,280 --> 00:21:02,840 Speaker 7: they reported about nineteen million net subscriber editions last night, 414 00:21:03,480 --> 00:21:05,760 Speaker 7: which if you take a step back and really try 415 00:21:05,800 --> 00:21:08,760 Speaker 7: to understand how big of a number that was. At 416 00:21:08,760 --> 00:21:13,360 Speaker 7: the beginning of the year, we were forecasting the company 417 00:21:13,560 --> 00:21:17,959 Speaker 7: add it to add in last calendar year about twenty 418 00:21:18,000 --> 00:21:22,160 Speaker 7: million net editions, and they ended up doing that almost 419 00:21:22,200 --> 00:21:25,880 Speaker 7: in one quarter, and for the full year, essentially doubled 420 00:21:26,000 --> 00:21:29,640 Speaker 7: our entire forecast of over forty million for this year. 421 00:21:29,960 --> 00:21:31,640 Speaker 7: So it's truly remarkable. 422 00:21:32,440 --> 00:21:35,840 Speaker 2: Why isn't there another Netflix? Don't they have a formula 423 00:21:35,960 --> 00:21:39,840 Speaker 2: people can copy? Robert Fishman, I don't see it out there. 424 00:21:41,640 --> 00:21:44,840 Speaker 7: Well, the other media guys are definitely trying, but it's 425 00:21:44,960 --> 00:21:47,600 Speaker 7: not an easy why tempoint. 426 00:21:47,280 --> 00:21:50,159 Speaker 2: I don't understand. I mean, if Columbia Records as a 427 00:21:50,240 --> 00:21:52,679 Speaker 2: hit with Bob Dylan, you go out and find the 428 00:21:52,720 --> 00:21:55,720 Speaker 2: next Bob Dylan. Why can't they copy Netflix? 429 00:21:56,800 --> 00:22:01,040 Speaker 7: I mean, Netflix has a lot of advantages, and probably 430 00:22:01,240 --> 00:22:04,679 Speaker 7: the biggest one is being first, and the size and 431 00:22:04,720 --> 00:22:08,240 Speaker 7: scale that they've gotten to, especially outside of the US, 432 00:22:08,359 --> 00:22:13,040 Speaker 7: is nearly impossible to compete. Again, we still think some 433 00:22:13,080 --> 00:22:16,240 Speaker 7: of the other traditional media guys still have a ways 434 00:22:16,280 --> 00:22:19,240 Speaker 7: to go, but are at least on the right path. 435 00:22:19,720 --> 00:22:22,280 Speaker 7: But it's clear that no one is catching up to 436 00:22:22,359 --> 00:22:23,359 Speaker 7: Netflix at this point. 437 00:22:23,640 --> 00:22:25,960 Speaker 4: So given that backdrop Robert and the follow up on 438 00:22:26,000 --> 00:22:28,840 Speaker 4: Tom's question, I kind of, as I look at the landscape, 439 00:22:28,840 --> 00:22:31,320 Speaker 4: I say, all right, Netflix, obviously they are the leader. 440 00:22:31,720 --> 00:22:33,600 Speaker 4: I'm going to give Disney a pass and say they're 441 00:22:33,640 --> 00:22:35,520 Speaker 4: going to have a very They do have a very 442 00:22:35,560 --> 00:22:37,679 Speaker 4: profitable business, and we'll get even more so. 443 00:22:37,680 --> 00:22:40,359 Speaker 5: So they're a player. But after Disney, I don't know 444 00:22:40,840 --> 00:22:41,920 Speaker 5: how this thing shakes out. 445 00:22:41,960 --> 00:22:45,560 Speaker 4: Do you expect to see, for lack of a better word, 446 00:22:45,640 --> 00:22:48,680 Speaker 4: subscale players like a paramount like a Warner Brothers Discovery. 447 00:22:48,680 --> 00:22:53,000 Speaker 5: Do they have to kind of consolidate? Do you think yeah? 448 00:22:53,119 --> 00:22:56,480 Speaker 7: I mean, we definitely think it's inevitable that these other 449 00:22:56,600 --> 00:22:59,760 Speaker 7: streaming platforms that you're talking about need to come to 450 00:22:59,800 --> 00:23:02,679 Speaker 7: Get because the size and scale that they're at today, 451 00:23:03,560 --> 00:23:07,680 Speaker 7: frankly just can't really compete. And what it really comes 452 00:23:07,720 --> 00:23:11,119 Speaker 7: down to again is the US versus the international business. 453 00:23:11,160 --> 00:23:14,480 Speaker 7: And I think what Netflix has proven so well is 454 00:23:14,520 --> 00:23:17,240 Speaker 7: they have the ability or talking about squid games before, 455 00:23:17,560 --> 00:23:21,120 Speaker 7: to bring this content in from around the world and 456 00:23:21,520 --> 00:23:24,800 Speaker 7: most of the traditional media guys are really just focused 457 00:23:24,840 --> 00:23:29,480 Speaker 7: on US content and exporting that outside to the international market. 458 00:23:29,720 --> 00:23:32,560 Speaker 7: But the benefit that Netflix has is creating all this 459 00:23:32,640 --> 00:23:35,400 Speaker 7: content outside of the world, and a lot of it 460 00:23:35,160 --> 00:23:37,600 Speaker 7: is really hitting well in the US as well. 461 00:23:37,680 --> 00:23:40,080 Speaker 2: Robert, your report's just Christine. I don't want to get 462 00:23:40,119 --> 00:23:42,679 Speaker 2: into the numbers because it's too cold outside, but I 463 00:23:42,720 --> 00:23:47,080 Speaker 2: do want to look, Robert Fishman, you're saying, I'm enthusiastic, 464 00:23:47,640 --> 00:23:51,919 Speaker 2: I lift my price target, but I'm neutral until I 465 00:23:52,080 --> 00:23:56,480 Speaker 2: see the ten K filing. What's the ten K filing? 466 00:23:56,760 --> 00:24:00,040 Speaker 2: And why are you waiting to read that? 467 00:24:00,040 --> 00:24:03,280 Speaker 7: It's a very interesting question. So as far as the 468 00:24:03,320 --> 00:24:05,600 Speaker 7: ten K goes, what we like to do is the 469 00:24:05,640 --> 00:24:09,040 Speaker 7: annual report basically from the company. It just gives us 470 00:24:09,600 --> 00:24:13,680 Speaker 7: a time to take a step back, really reassess as 471 00:24:13,680 --> 00:24:16,600 Speaker 7: far as again what just happened this past year, what 472 00:24:16,640 --> 00:24:20,720 Speaker 7: we got right, which in all candor was not a 473 00:24:20,720 --> 00:24:23,960 Speaker 7: whole lot with this company because they continue to blow 474 00:24:24,000 --> 00:24:27,399 Speaker 7: it out out of the park. And so what we 475 00:24:27,560 --> 00:24:30,320 Speaker 7: try to do is really revisit our forecast and try 476 00:24:30,359 --> 00:24:33,200 Speaker 7: to understand how much more upside is there to go 477 00:24:33,800 --> 00:24:35,960 Speaker 7: and try to value the stock appropriately. 478 00:24:36,600 --> 00:24:41,360 Speaker 4: Robert, let's talk about sports here. For most of those companies' existence. 479 00:24:41,400 --> 00:24:44,840 Speaker 4: They've said, we are not going to get into sports business, 480 00:24:44,880 --> 00:24:48,399 Speaker 4: the live sports business. But quite frankly, I'm just waiting 481 00:24:48,440 --> 00:24:50,480 Speaker 4: for the press please to come when they actually have 482 00:24:50,560 --> 00:24:54,400 Speaker 4: an NFL package talk to us about Sports and Netflix. 483 00:24:55,800 --> 00:24:58,959 Speaker 7: Yeah, well, I mean, as you're alluding to, they already 484 00:24:59,000 --> 00:25:03,119 Speaker 7: have NFL games. So as far as NFL package, we 485 00:25:03,640 --> 00:25:07,439 Speaker 7: agree that that is inevitable. The NFL does have some 486 00:25:07,600 --> 00:25:11,240 Speaker 7: time with their current contracts so that there's an outclause 487 00:25:11,960 --> 00:25:15,080 Speaker 7: towards the end of the decade. But as far as 488 00:25:15,480 --> 00:25:18,760 Speaker 7: the current strategy for Netflix and Sports right now is 489 00:25:18,840 --> 00:25:22,160 Speaker 7: big events, and they're clearly doing that very well. That 490 00:25:22,200 --> 00:25:26,119 Speaker 7: they again started out as big as you could imagine 491 00:25:26,560 --> 00:25:30,359 Speaker 7: with the Tyson Paul fight and then went to the 492 00:25:31,480 --> 00:25:35,080 Speaker 7: NFL Christmas Games. They just got the rights to the 493 00:25:35,119 --> 00:25:37,960 Speaker 7: Women's World Cup for starting in twenty twenty seven and 494 00:25:38,080 --> 00:25:42,040 Speaker 7: twenty thirty one, and so they're clearly adding to their portfolio. 495 00:25:42,080 --> 00:25:45,359 Speaker 7: But they're doing it in a very strategic way where 496 00:25:45,359 --> 00:25:48,560 Speaker 7: they're building out event ties sports content. 497 00:25:48,840 --> 00:25:52,680 Speaker 2: Are they a friend or an enemy or a frenemy 498 00:25:53,080 --> 00:25:55,679 Speaker 2: of the National Football League? 499 00:25:56,840 --> 00:25:58,680 Speaker 7: I think they're going to be a big friend to 500 00:25:59,200 --> 00:26:01,879 Speaker 7: the NFL, and the NFL is going to look to 501 00:26:01,920 --> 00:26:04,879 Speaker 7: continue to bring them in in many different ways to 502 00:26:04,960 --> 00:26:08,760 Speaker 7: reach their audience outside of the US and grow the 503 00:26:09,600 --> 00:26:14,040 Speaker 7: international audience, which is a really critical piece to the 504 00:26:14,200 --> 00:26:16,399 Speaker 7: long term growth of the NFL going forward. 505 00:26:16,840 --> 00:26:18,280 Speaker 2: I mean, I'm looking at trying to get to the 506 00:26:18,280 --> 00:26:20,359 Speaker 2: way to the average cost of capital on this dog. 507 00:26:20,400 --> 00:26:23,040 Speaker 2: I can't get there right now. Looks like the programs 508 00:26:23,080 --> 00:26:26,719 Speaker 2: don't love to see on that I don't know. Absolutely fascinating. 509 00:26:27,040 --> 00:26:30,280 Speaker 2: Robert Fishman, thank you so much. Great summary as well. 510 00:26:36,359 --> 00:26:40,280 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 511 00:26:40,280 --> 00:26:43,280 Speaker 1: starting at seven am Eastern on Apple Corplay and Android 512 00:26:43,320 --> 00:26:46,359 Speaker 1: Auto with the Bloomberg Business app. You can also watch 513 00:26:46,400 --> 00:26:49,359 Speaker 1: us live every weekday on YouTube and always on the 514 00:26:49,400 --> 00:26:50,480 Speaker 1: Bloomberg terminal. 515 00:26:50,880 --> 00:26:52,439 Speaker 2: Your day, you look at the front page is a 516 00:26:52,520 --> 00:26:56,680 Speaker 2: Lisa Mateo moment, Lisa Mateo, what do you have? 517 00:26:57,400 --> 00:26:57,560 Speaker 5: Well? 518 00:26:57,600 --> 00:26:57,760 Speaker 4: List? 519 00:26:57,760 --> 00:27:00,159 Speaker 8: Since I've been so much talk about TikTok, right, who 520 00:27:00,200 --> 00:27:01,719 Speaker 8: was gonna buy it? What's going to happen to it? 521 00:27:02,040 --> 00:27:04,880 Speaker 8: I found a little sidebar story from the Financial Time 522 00:27:05,000 --> 00:27:08,639 Speaker 8: about the workers. Sources are telling them that the workers 523 00:27:08,640 --> 00:27:11,280 Speaker 8: that bite Dance really coated it. From China to Singapore. 524 00:27:11,440 --> 00:27:13,359 Speaker 8: They were told in a memo that they have to 525 00:27:13,359 --> 00:27:16,560 Speaker 8: pay tax to their home country and if they don't 526 00:27:16,600 --> 00:27:18,600 Speaker 8: that they risk kind of losing that ability to cash 527 00:27:18,600 --> 00:27:21,520 Speaker 8: out on the stock options. And stock options make up 528 00:27:21,560 --> 00:27:25,000 Speaker 8: a big chunk of their paycheck. It's about a thousand 529 00:27:25,040 --> 00:27:27,199 Speaker 8: employees or so could be affected by it, but a 530 00:27:27,320 --> 00:27:29,600 Speaker 8: tax difference could be as high as twenty one percentage 531 00:27:29,600 --> 00:27:31,440 Speaker 8: points depending on their individuals side. 532 00:27:31,440 --> 00:27:34,760 Speaker 2: So if they moved to Singapore, does that get around 533 00:27:34,800 --> 00:27:38,000 Speaker 2: our angst about China? Don't I would guess No, I 534 00:27:38,080 --> 00:27:38,479 Speaker 2: don't know. 535 00:27:38,720 --> 00:27:40,679 Speaker 4: I mean it's it's fluid. 536 00:27:41,000 --> 00:27:43,199 Speaker 2: Are you on Lisa? Are you on the red whatever 537 00:27:43,280 --> 00:27:44,240 Speaker 2: the red note? 538 00:27:44,280 --> 00:27:48,280 Speaker 8: No, no, no, the fam is not switched. 539 00:27:48,280 --> 00:27:49,360 Speaker 6: They're still on the TikTok. 540 00:27:49,720 --> 00:27:52,040 Speaker 8: It brought it when it went dark. There was a 541 00:27:52,040 --> 00:27:55,080 Speaker 8: bit of a panic with the children. 542 00:27:55,560 --> 00:27:57,800 Speaker 2: Do your kids hide that they're on TikTok? 543 00:27:58,760 --> 00:28:01,320 Speaker 8: My daughter did for a while because cantal fees. 544 00:28:01,119 --> 00:28:03,600 Speaker 2: On TikTok, like glued to it. And you know, the 545 00:28:03,720 --> 00:28:09,240 Speaker 2: dog takes the phone. It's okay, underneath the food ball next, okay. 546 00:28:09,280 --> 00:28:12,560 Speaker 8: This is China, right, trying to boost their consumer spending. 547 00:28:12,600 --> 00:28:14,960 Speaker 8: So this is an interesting story about how it's welcoming 548 00:28:15,000 --> 00:28:19,000 Speaker 8: back Hollywood movies. In order to do that, so it's 549 00:28:19,000 --> 00:28:21,480 Speaker 8: allowing foreign films to be screened, old and new ones, 550 00:28:21,680 --> 00:28:24,399 Speaker 8: r rated Hollywood movies, films from other countries like India, 551 00:28:24,480 --> 00:28:28,040 Speaker 8: Japan that weren't allowed there before. But it's a lot 552 00:28:28,119 --> 00:28:31,920 Speaker 8: more and the reason is because when people go to 553 00:28:31,960 --> 00:28:34,000 Speaker 8: the movies, they spend more. And a lot of their 554 00:28:34,000 --> 00:28:36,360 Speaker 8: movie theaters, which I didn't realize in China are located 555 00:28:36,359 --> 00:28:39,600 Speaker 8: in shopping walls, so people go and they just spend, spend. 556 00:28:39,440 --> 00:28:40,480 Speaker 5: By food, that's what they want. 557 00:28:40,840 --> 00:28:42,400 Speaker 4: I'll tell you this is a big, big deal for 558 00:28:42,440 --> 00:28:46,640 Speaker 4: Hollywood because pre pandemic, for big blockbusters, these two three 559 00:28:46,680 --> 00:28:50,960 Speaker 4: hundred million dollars box off, big spending things. It had 560 00:28:50,960 --> 00:28:51,680 Speaker 4: to play well. 561 00:28:51,520 --> 00:28:54,120 Speaker 5: In China in order for it to really successful. 562 00:28:54,600 --> 00:28:56,440 Speaker 4: And then for the last four or five years no, 563 00:28:56,640 --> 00:28:59,400 Speaker 4: for a variety of reasons A the pandemic, B. China 564 00:28:59,480 --> 00:29:02,880 Speaker 4: just cracking down. But now it's opening back up again, 565 00:29:02,920 --> 00:29:05,320 Speaker 4: and that is huge shame for Hollywood because that's the 566 00:29:05,440 --> 00:29:09,520 Speaker 4: second biggest box office outside of North America's China, all right. 567 00:29:09,400 --> 00:29:11,440 Speaker 8: And not airlines that you had a rough twenty twenty 568 00:29:11,440 --> 00:29:13,280 Speaker 8: four as we know, but this is a Wall Street 569 00:29:13,360 --> 00:29:15,760 Speaker 8: Journal scorecard. It has a look into who came out 570 00:29:15,800 --> 00:29:19,800 Speaker 8: on top. So they ranked about nine major US airlines. 571 00:29:20,040 --> 00:29:23,200 Speaker 8: It included things like on time arrivals, flight cancelations, delayed 572 00:29:23,240 --> 00:29:26,760 Speaker 8: baggage handling, all of that. So at the top was Delta. 573 00:29:27,240 --> 00:29:30,120 Speaker 8: It actually stood out in nearly every category. The only 574 00:29:30,160 --> 00:29:32,920 Speaker 8: thing is that they had this data that went through 575 00:29:33,040 --> 00:29:36,240 Speaker 8: only till May, so did include the crowd strikeoutage of 576 00:29:36,320 --> 00:29:40,240 Speaker 8: passenger complaints in there, so that wasn't affected. But it's 577 00:29:40,280 --> 00:29:42,480 Speaker 8: the reason why they say their tickets are often higher 578 00:29:42,520 --> 00:29:46,160 Speaker 8: than other airlines. But it was a close race. Southwest 579 00:29:46,280 --> 00:29:49,720 Speaker 8: just one point behind. Leska Airlines came in third, and 580 00:29:49,800 --> 00:29:53,720 Speaker 8: the worst was actually Frontier Airlines came in last place. 581 00:29:54,000 --> 00:29:56,160 Speaker 5: In my United since smack in the mid in the 582 00:29:56,240 --> 00:29:59,200 Speaker 5: middle of very good, so much. 583 00:29:59,080 --> 00:30:02,480 Speaker 2: Of it to me Year United. You sit on the 584 00:30:02,560 --> 00:30:03,440 Speaker 2: runway at Newark. 585 00:30:03,520 --> 00:30:06,920 Speaker 5: I mean it's Kay's knock on wood. 586 00:30:06,960 --> 00:30:09,120 Speaker 4: It's been better last few times I've flown, so we'll 587 00:30:09,120 --> 00:30:10,040 Speaker 4: see how it goes there. 588 00:30:10,120 --> 00:30:12,760 Speaker 2: Listen to thank you for the news. Greatly appreciate that 589 00:30:12,840 --> 00:30:16,720 Speaker 2: the newspaper study. Thank you, I'm kr for your support. 590 00:30:16,920 --> 00:30:21,760 Speaker 1: This is the Bloomberg Surveillance Podcast, available on Apple, Spotify, 591 00:30:21,880 --> 00:30:26,160 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 592 00:30:26,280 --> 00:30:29,760 Speaker 1: seven to ten am Eastern on Bloomberg dot Com, the 593 00:30:29,840 --> 00:30:33,880 Speaker 1: iHeartRadio app tune In, and the Bloomberg Business app. You 594 00:30:33,920 --> 00:30:37,280 Speaker 1: can also watch us live every weekday on YouTube and 595 00:30:37,480 --> 00:30:39,200 Speaker 1: always on the Bloomberg terminal