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 --> 00:00:27,040 Speaker 1: us live on YouTube. 6 00:00:27,320 --> 00:00:27,880 Speaker 2: You're really going to. 7 00:00:27,960 --> 00:00:30,240 Speaker 3: Drill down here into the jobs report right now. Jeffrey 8 00:00:30,280 --> 00:00:33,000 Speaker 3: Cleveland with us with Peyton Riego love having on with 9 00:00:33,120 --> 00:00:36,640 Speaker 3: just an inherent optimism about waking up and taking a swim. 10 00:00:36,640 --> 00:00:39,280 Speaker 3: We'll talk about that in a bit here. A ton 11 00:00:39,360 --> 00:00:44,159 Speaker 3: of moving parts here to partse. Retail sales came in 12 00:00:44,400 --> 00:00:48,000 Speaker 3: SAGY except the control group. The control group takes out this, 13 00:00:48,159 --> 00:00:50,880 Speaker 3: that and the other thing, and it's a boom number 14 00:00:50,920 --> 00:00:54,360 Speaker 3: of zero point eight percent. But Paul, the revisions on 15 00:00:54,520 --> 00:00:58,000 Speaker 3: retail sales and the published retail sales is sort of 16 00:00:58,080 --> 00:01:00,920 Speaker 3: just a mess. Yeah, that's how I do I'd put it. 17 00:01:01,040 --> 00:01:03,640 Speaker 3: Your comment, Paul on the four point six percent. 18 00:01:03,640 --> 00:01:05,680 Speaker 4: Yeah, looking at the four point six percent, I mean, 19 00:01:05,760 --> 00:01:08,720 Speaker 4: you know, we started the year kind of like around 20 00:01:08,720 --> 00:01:11,480 Speaker 4: four percent here three point nine percent, so it's definitely 21 00:01:11,680 --> 00:01:13,840 Speaker 4: jumped a little bit there, market. 22 00:01:13,560 --> 00:01:16,679 Speaker 3: Lifting up a little bit. Yields come in a little 23 00:01:16,720 --> 00:01:19,640 Speaker 3: bit as well. Again, maybe the most important statistic today 24 00:01:20,040 --> 00:01:23,479 Speaker 3: oil under fifty six dollars barrel. We're given Jeffrey Regal 25 00:01:23,520 --> 00:01:26,800 Speaker 3: about four more seconds here to parse the data. I'm 26 00:01:26,840 --> 00:01:29,679 Speaker 3: going to say, folks, there's a single line here thanks 27 00:01:29,720 --> 00:01:33,440 Speaker 3: to our great economic team, non farm payrolls three month 28 00:01:33,600 --> 00:01:39,640 Speaker 3: average change is twenty two thousand. I don't understand politically, Paul, 29 00:01:40,120 --> 00:01:44,640 Speaker 3: how twenty two thousand is okay for Washington. 30 00:01:44,959 --> 00:01:46,680 Speaker 4: Yeah, exactly right, Tom. I mean I think that's a 31 00:01:46,680 --> 00:01:48,920 Speaker 4: little bit of a challenge there. It seems like at 32 00:01:48,920 --> 00:01:52,760 Speaker 4: that no higher, no fire kind of economy still kind 33 00:01:52,760 --> 00:01:53,760 Speaker 4: of with us to some agree. 34 00:01:53,880 --> 00:01:55,960 Speaker 3: Well, we'll have to see. We're commercial free for you 35 00:01:56,640 --> 00:02:01,080 Speaker 3: through this far. We're going to continue here with Jeffrey 36 00:02:01,120 --> 00:02:05,000 Speaker 3: Cleveland and get some good bond analysis as well. Bloomberg 37 00:02:05,080 --> 00:02:08,560 Speaker 3: Surveillance this morning brought you by Interactive Brokers. Trade over 38 00:02:08,639 --> 00:02:13,320 Speaker 3: ten thousand US stocks and ETFs, US equity index options, 39 00:02:13,400 --> 00:02:17,480 Speaker 3: US treasuries and more on your timetable. Learn more at 40 00:02:17,520 --> 00:02:21,119 Speaker 3: IBr dot com, slash around the clock, and we think 41 00:02:21,280 --> 00:02:25,280 Speaker 3: Interactive Brokers for all their support. Michael mckeey scheduled to 42 00:02:25,280 --> 00:02:28,480 Speaker 3: be with us. Christina Kemeny will be with SOT Invesco. 43 00:02:28,560 --> 00:02:31,359 Speaker 3: But we continue now with Jeffrey Cleveland, who's had all 44 00:02:31,360 --> 00:02:35,040 Speaker 3: of two minutes forty seven seconds to massage the data. 45 00:02:35,080 --> 00:02:38,000 Speaker 3: What's the first thing you looked at, mister Cleveland. 46 00:02:38,360 --> 00:02:40,680 Speaker 5: I think, Tom, for me, the unemployment rate taking up 47 00:02:40,720 --> 00:02:43,239 Speaker 5: to four point six, as we said in the preamble. 48 00:02:43,600 --> 00:02:47,760 Speaker 5: I think that's going to get attention of investors and policymakers. 49 00:02:47,800 --> 00:02:49,720 Speaker 5: I think you see that moving the bond market already. 50 00:02:50,600 --> 00:02:53,480 Speaker 5: After that, I quickly looked at your non farm payroll. 51 00:02:53,720 --> 00:02:55,480 Speaker 5: I mean, I guess on a positive note, if you 52 00:02:55,520 --> 00:02:58,160 Speaker 5: want the West Coast optimistic spin, you did have a 53 00:02:58,240 --> 00:03:04,359 Speaker 5: negative October, but total private if you exclude the government payrolls, 54 00:03:04,639 --> 00:03:07,239 Speaker 5: didn't look too bad. Tom, you're talking about fifty two 55 00:03:07,280 --> 00:03:12,400 Speaker 5: thousand in October. You're talking about sixty nine thousand in November. 56 00:03:12,960 --> 00:03:14,400 Speaker 2: You mentioned the three month average. 57 00:03:14,400 --> 00:03:16,440 Speaker 5: We do like to look at that as well, and 58 00:03:16,800 --> 00:03:19,560 Speaker 5: the Bloomberg Economic team absolutely right that twenty two thousand. 59 00:03:20,360 --> 00:03:22,960 Speaker 5: You know, that's total non farm. If you look at 60 00:03:23,000 --> 00:03:26,800 Speaker 5: just private, it looks a bit better. It's seventy five thousand. 61 00:03:27,200 --> 00:03:31,000 Speaker 5: So I would still characterize that as soggy. To steal 62 00:03:31,000 --> 00:03:34,840 Speaker 5: your phrase, your reference for retail sales, and I still 63 00:03:34,840 --> 00:03:37,840 Speaker 5: think the risk here is a higher unemployment rate, and 64 00:03:37,880 --> 00:03:40,760 Speaker 5: so I think this brings the FED already back into play. 65 00:03:40,800 --> 00:03:43,640 Speaker 5: We've got a lot more data before the next FOMC meeting, 66 00:03:43,680 --> 00:03:46,120 Speaker 5: but I think the bomb market will react. If I'm 67 00:03:46,120 --> 00:03:47,080 Speaker 5: not mistaken, I'm going. 68 00:03:47,080 --> 00:03:49,320 Speaker 3: To go to three months average. But Jeffrey, with your 69 00:03:49,360 --> 00:03:54,560 Speaker 3: study at Claremont of Politics, a seventy five thousand private 70 00:03:54,600 --> 00:03:58,640 Speaker 3: statistic or a twenty two thousand non farm payroll three 71 00:03:58,720 --> 00:04:02,160 Speaker 3: much average. I don't care what flavor you are, Jeffrey Cleveland, 72 00:04:02,160 --> 00:04:03,920 Speaker 3: that's politically unacceptable. 73 00:04:04,720 --> 00:04:06,240 Speaker 2: I agree. I don't want people. 74 00:04:06,560 --> 00:04:09,720 Speaker 5: I do get messages from people, a friends, family, and 75 00:04:09,760 --> 00:04:12,680 Speaker 5: they say, you know, it's okay if we have a 76 00:04:12,800 --> 00:04:15,280 Speaker 5: soft job growth. You know, as long as the unemployment 77 00:04:15,360 --> 00:04:18,560 Speaker 5: rate stays low, well bad news everyone. If we have 78 00:04:18,680 --> 00:04:21,360 Speaker 5: slow job growth, the unemployment rate tends to take up. 79 00:04:21,240 --> 00:04:23,120 Speaker 2: Which is what we're seeing in the last few months. 80 00:04:23,279 --> 00:04:26,720 Speaker 5: And I don't think seventy five thousand is politically palatable. 81 00:04:26,880 --> 00:04:30,160 Speaker 5: I agree with you. So the risk here is additional 82 00:04:30,200 --> 00:04:32,800 Speaker 5: rate cuts in twenty twenty six, and the bond market 83 00:04:32,839 --> 00:04:34,160 Speaker 5: will start to sniff that out. 84 00:04:34,200 --> 00:04:35,720 Speaker 6: I think so how do you. 85 00:04:35,640 --> 00:04:37,080 Speaker 2: Think the FED here? I mean again, I'm looking at 86 00:04:37,080 --> 00:04:37,679 Speaker 2: the WORP function. 87 00:04:37,720 --> 00:04:39,839 Speaker 4: We're kind of going in today thinking one, maybe two 88 00:04:39,920 --> 00:04:43,520 Speaker 4: rate cuts. Sure, I'm all over the WORP function. How 89 00:04:43,520 --> 00:04:46,000 Speaker 4: do you think that maybe changes in the coming days. 90 00:04:46,920 --> 00:04:49,240 Speaker 5: I think you're going to get more priced in in 91 00:04:49,320 --> 00:04:52,400 Speaker 5: our view at the unemployment rate continues to trend up, 92 00:04:52,520 --> 00:04:55,680 Speaker 5: and we in our forecast we do have inflation moderating. 93 00:04:55,720 --> 00:04:58,400 Speaker 5: I think that's important to note as well. The Fed 94 00:04:58,800 --> 00:05:00,440 Speaker 5: we have, you know, in our base case to been 95 00:05:00,520 --> 00:05:03,440 Speaker 5: cutting three times in twenty twenty six. So WORP is 96 00:05:03,480 --> 00:05:06,839 Speaker 5: probably under price at this stage, and that four point 97 00:05:06,920 --> 00:05:09,640 Speaker 5: six percent unemployment rate that bolsters that view. 98 00:05:09,680 --> 00:05:11,320 Speaker 3: I think we let's jump ahead here. I mean, that's 99 00:05:11,360 --> 00:05:13,760 Speaker 3: what That's what Paul Sweety wants and I want on 100 00:05:13,839 --> 00:05:17,280 Speaker 3: Jeffrey Cleveland, Well, it's camp Benny's taken notes from Invesco here. 101 00:05:17,320 --> 00:05:20,200 Speaker 3: We'll get to Christina in a moment. But the bottom line, 102 00:05:20,240 --> 00:05:23,240 Speaker 3: in two days, I get a legit am I right, 103 00:05:23,320 --> 00:05:27,960 Speaker 3: It's a legit CPI report on December eighteenth, Is that right? Jeffrey? 104 00:05:28,240 --> 00:05:31,120 Speaker 5: Yeah, Well, we get our We get CPI on December 105 00:05:31,560 --> 00:05:36,760 Speaker 5: eighteenth for November. So I mean definitely, that'll be interesting. 106 00:05:36,279 --> 00:05:37,160 Speaker 2: To take in. 107 00:05:37,520 --> 00:05:39,400 Speaker 5: You know, we do think when we look at the 108 00:05:39,440 --> 00:05:42,600 Speaker 5: main components of CPI what we think will drive inflation 109 00:05:42,640 --> 00:05:45,920 Speaker 5: in twenty twenty six. We think goods prices will cool off. 110 00:05:46,279 --> 00:05:49,640 Speaker 5: We think non housing services prices will also cool given 111 00:05:49,680 --> 00:05:52,800 Speaker 5: the weaker labor market, and we do think housing. Housing 112 00:05:52,839 --> 00:05:54,800 Speaker 5: has been a big thorn in the side of the 113 00:05:55,320 --> 00:05:59,360 Speaker 5: CPI the policy maker community, so we expect some relief 114 00:05:59,839 --> 00:06:02,760 Speaker 5: in the housing component. So when we tie that all together, 115 00:06:03,160 --> 00:06:05,680 Speaker 5: we do get core inflation trended back towards two percent 116 00:06:06,160 --> 00:06:06,680 Speaker 5: next year. 117 00:06:07,320 --> 00:06:09,200 Speaker 2: So that's kind of how we're looking at. 118 00:06:09,160 --> 00:06:12,640 Speaker 4: Things, Jeffrey, I mean, it's inflation again. We're going to 119 00:06:12,640 --> 00:06:15,160 Speaker 4: hear some more inflation later on. We're hearing that you 120 00:06:15,279 --> 00:06:17,560 Speaker 4: made that cost of housing is coming down. How does 121 00:06:17,560 --> 00:06:20,279 Speaker 4: that housing figure into just kind of inflation, because for 122 00:06:20,320 --> 00:06:22,760 Speaker 4: a lot of people, that's a big, big component. 123 00:06:23,920 --> 00:06:26,159 Speaker 5: Yeah, I mean for the CPI, it's a big chunk. 124 00:06:26,320 --> 00:06:29,200 Speaker 5: We're talking about a third of core of core CPI. 125 00:06:29,720 --> 00:06:31,800 Speaker 5: It's a little bit less of an issue in core PC, 126 00:06:32,080 --> 00:06:35,359 Speaker 5: which is the FEDS preferred inflation gauge, but the data 127 00:06:35,920 --> 00:06:38,640 Speaker 5: is slow and sticky. At least the government data, and 128 00:06:38,680 --> 00:06:41,440 Speaker 5: we do see scope for the housing component of those 129 00:06:41,440 --> 00:06:44,880 Speaker 5: indices to continue to cool off. That's good news, but 130 00:06:44,960 --> 00:06:47,520 Speaker 5: I think it's more of the government data catching up 131 00:06:47,560 --> 00:06:49,839 Speaker 5: with the reality on the ground. I think we've already 132 00:06:49,839 --> 00:06:52,960 Speaker 5: seen in private sector metrics of rent and things of 133 00:06:52,960 --> 00:06:57,000 Speaker 5: that nature cooling in the housing component. But that should 134 00:06:57,200 --> 00:06:59,440 Speaker 5: you know, people have said to be we're sticky. Inflation 135 00:06:59,520 --> 00:07:01,599 Speaker 5: is sticky, stuck at three percent. I think a portion 136 00:07:01,680 --> 00:07:05,160 Speaker 5: of that is housing. As that cools off, cor inflation 137 00:07:05,240 --> 00:07:06,400 Speaker 5: will head back to two percent. 138 00:07:06,960 --> 00:07:10,040 Speaker 3: Jeffrey, I've been in awe of Paul Sweeney. He's out 139 00:07:10,080 --> 00:07:14,760 Speaker 3: in a frigid wetsuit surfing in the ice cold New 140 00:07:14,840 --> 00:07:18,440 Speaker 3: Jersey serf. Sure, but Jeffrey Cleveland has outdone you. I 141 00:07:18,480 --> 00:07:21,840 Speaker 3: know he's done the twenty bridge swim in Manhattan. Razy. 142 00:07:22,200 --> 00:07:25,960 Speaker 3: He's done twenty miles to the Catalina Channel, probably tuned 143 00:07:25,960 --> 00:07:28,920 Speaker 3: into the Dodgers. Well he did that. What's it like, 144 00:07:29,040 --> 00:07:32,480 Speaker 3: Jeffrey Cleveland's swimming the English Channel. I mean, that's from 145 00:07:32,480 --> 00:07:33,800 Speaker 3: our youth. That's amazing. 146 00:07:34,800 --> 00:07:35,480 Speaker 2: Well, it's cold. 147 00:07:35,560 --> 00:07:38,400 Speaker 5: I mean you're you're looking at about twenty five miles 148 00:07:38,400 --> 00:07:41,840 Speaker 5: from England to France. I think the day that I 149 00:07:41,840 --> 00:07:44,520 Speaker 5: did the swim. It was fifty eight degrees at the start. 150 00:07:45,400 --> 00:07:48,600 Speaker 5: No wetsuits are allowed on that swim. You'll be disqualified. 151 00:07:49,160 --> 00:07:51,600 Speaker 5: And so you do have one support boat, but you 152 00:07:51,640 --> 00:07:52,400 Speaker 5: can't touch the boat. 153 00:07:52,400 --> 00:07:53,320 Speaker 2: You can't take breaks. 154 00:07:53,600 --> 00:07:55,880 Speaker 3: See touch the boat. Unbelievable. 155 00:07:55,960 --> 00:07:57,440 Speaker 2: You can't touch the boat because that's cheatie. 156 00:07:57,520 --> 00:07:59,000 Speaker 5: You know, you just have to you want to take 157 00:07:59,000 --> 00:08:01,720 Speaker 5: a break, you do a boat and someone throws you 158 00:08:01,760 --> 00:08:04,480 Speaker 5: a little bit of a high octane gatorade and then 159 00:08:04,560 --> 00:08:06,560 Speaker 5: you take a quick swig and then you move on. 160 00:08:06,800 --> 00:08:09,840 Speaker 2: Do you see this about ten hours across June or July? 161 00:08:10,120 --> 00:08:13,119 Speaker 3: I mean this, screams Lisa Mateo. Can you see Lisa 162 00:08:13,160 --> 00:08:15,240 Speaker 3: Mateo swimming the Indus Channel. 163 00:08:16,720 --> 00:08:20,120 Speaker 5: We did it in September, September, mid September. That was 164 00:08:20,160 --> 00:08:23,400 Speaker 5: the warmest and we thought that would be the warmest period. 165 00:08:23,480 --> 00:08:24,360 Speaker 2: What an accomplishment. 166 00:08:25,760 --> 00:08:29,000 Speaker 3: It's a triple crown of swimming. One of only thirty. 167 00:08:28,920 --> 00:08:32,160 Speaker 4: Normal people don't do this, Jeffrey, thirty six people in 168 00:08:32,200 --> 00:08:32,880 Speaker 4: the world have done. 169 00:08:33,040 --> 00:08:35,520 Speaker 3: Jeffrey Cleveland, thank you for the insight on the jobs 170 00:08:35,520 --> 00:08:40,400 Speaker 3: report and the spirit of that accomplishment of swimming around 171 00:08:40,440 --> 00:08:43,360 Speaker 3: Manhattan is one of the things as we all stay 172 00:08:43,400 --> 00:08:47,280 Speaker 3: with us. More from Bloomberg Surveillance coming up after this. 173 00:08:54,520 --> 00:08:58,080 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 174 00:08:58,160 --> 00:09:01,679 Speaker 1: weekday afternoons from seven to ten den listen on Apple 175 00:09:01,720 --> 00:09:05,080 Speaker 1: Karplay and Android Otto with the Bloomberg Business app, or 176 00:09:05,200 --> 00:09:06,720 Speaker 1: watch us live on YouTube. 177 00:09:06,920 --> 00:09:09,240 Speaker 3: Paul Quincy's never seen this before. He's never seen a 178 00:09:09,280 --> 00:09:12,199 Speaker 3: double jobs report. Wait, none of us have as well. 179 00:09:12,360 --> 00:09:16,240 Speaker 3: He is global head of Equities. Let's speak for JP 180 00:09:16,360 --> 00:09:20,240 Speaker 3: Morgan Asset Management, and you have the best single sentence. 181 00:09:20,600 --> 00:09:23,000 Speaker 3: I hate outlooks. There's a guy I don't know if 182 00:09:23,040 --> 00:09:26,200 Speaker 3: you know, Sam row Ro. He's in America and his 183 00:09:26,360 --> 00:09:29,480 Speaker 3: job is to read every outlook, including yours. We're going 184 00:09:29,520 --> 00:09:31,200 Speaker 3: to get a report from Sam row here. 185 00:09:31,440 --> 00:09:35,320 Speaker 2: But I love Paul in your global note. 186 00:09:35,679 --> 00:09:39,240 Speaker 3: You only have a belief factor in the equity markets forward, 187 00:09:39,360 --> 00:09:43,240 Speaker 3: Only nine percent of our investors are expecting above average 188 00:09:43,280 --> 00:09:44,160 Speaker 3: games in the market. 189 00:09:44,440 --> 00:09:47,600 Speaker 6: Are we really that gloomy out there? I wouldn't go 190 00:09:47,600 --> 00:09:50,000 Speaker 6: good morning. I wouldn't call it gloomy. I would call 191 00:09:50,040 --> 00:09:54,280 Speaker 6: it realistic. So when we look at that, fundamentals drive markets, 192 00:09:54,320 --> 00:09:57,760 Speaker 6: and to us, the fundamentals look pretty good. But you're 193 00:09:57,800 --> 00:09:59,760 Speaker 6: really paying for it. Now, that's what's got our attention. 194 00:10:00,000 --> 00:10:01,959 Speaker 6: I think that note of caution comes in from a 195 00:10:02,040 --> 00:10:05,360 Speaker 6: combination of twenty three times next year's earnings. We think 196 00:10:05,400 --> 00:10:07,720 Speaker 6: earnings are fine, but it's tough to see that twenty 197 00:10:07,760 --> 00:10:10,120 Speaker 6: three going up too much. And then you look at 198 00:10:10,760 --> 00:10:12,880 Speaker 6: earnings have been a triumph of the optimists this year 199 00:10:13,000 --> 00:10:15,920 Speaker 6: yet again. But within the market there's a lot of 200 00:10:16,080 --> 00:10:18,800 Speaker 6: very optimistic thinking, particularly when you get into the small 201 00:10:18,800 --> 00:10:20,760 Speaker 6: cap space. So those two things give us a little 202 00:10:20,760 --> 00:10:23,880 Speaker 6: bit of pause for caution. So we think staying invested, sure, 203 00:10:24,200 --> 00:10:28,280 Speaker 6: but you want to diversify by geography, diversified by style, 204 00:10:28,800 --> 00:10:30,719 Speaker 6: and think about where the returns are going to come from, 205 00:10:30,760 --> 00:10:32,320 Speaker 6: not just where they have come from in the past. 206 00:10:32,679 --> 00:10:36,920 Speaker 4: So in global equities, what's your US versus maybe rest 207 00:10:36,920 --> 00:10:38,880 Speaker 4: of the world allocation? How do you think about it 208 00:10:38,960 --> 00:10:40,240 Speaker 4: geographic these days? 209 00:10:40,320 --> 00:10:41,760 Speaker 6: Yeah, So we do all that bottom up, right, We 210 00:10:41,840 --> 00:10:43,720 Speaker 6: look company by company, and when you do that, you 211 00:10:43,800 --> 00:10:45,760 Speaker 6: find it really hard to get too far away from 212 00:10:45,760 --> 00:10:49,760 Speaker 6: the United States. So the US on average has better 213 00:10:49,800 --> 00:10:54,040 Speaker 6: companies in better businesses, and that isn't going to change 214 00:10:54,760 --> 00:10:57,040 Speaker 6: the reason the US market is two thirds of everything 215 00:10:57,080 --> 00:10:59,360 Speaker 6: these days. It's come the right way, right, It's come 216 00:10:59,360 --> 00:11:03,120 Speaker 6: through superior earnings growth over the last fifteen years. So 217 00:11:03,360 --> 00:11:06,880 Speaker 6: that's where we are. But you also now have high prices, 218 00:11:07,240 --> 00:11:09,920 Speaker 6: and I think you can legitimately balance your US exposure 219 00:11:09,920 --> 00:11:11,560 Speaker 6: these days with the rest of the world, and we're 220 00:11:11,600 --> 00:11:13,520 Speaker 6: not so sure investors are doing that. I think a 221 00:11:13,520 --> 00:11:16,440 Speaker 6: lot of investors, including by the way, investors in Europe 222 00:11:16,440 --> 00:11:19,240 Speaker 6: and Asia, have kind of become a little over fixated 223 00:11:19,280 --> 00:11:20,959 Speaker 6: on the US and have forgotten you can also make 224 00:11:21,000 --> 00:11:22,680 Speaker 6: money in those markets too. 225 00:11:23,520 --> 00:11:23,960 Speaker 2: Earnings. 226 00:11:24,040 --> 00:11:26,520 Speaker 4: We've had some really good earnings out of the US 227 00:11:27,000 --> 00:11:30,160 Speaker 4: companies here this year, particularly second and third quarter double 228 00:11:30,160 --> 00:11:33,760 Speaker 4: digit kind of earnings. Looking forward, is the earnings outlook 229 00:11:33,840 --> 00:11:35,360 Speaker 4: enough to support this market here? 230 00:11:35,720 --> 00:11:38,000 Speaker 6: Yeah, you need those earning earnings growth to continue where 231 00:11:38,000 --> 00:11:40,280 Speaker 6: you're paying twenty three times, right, So, but yeah, we 232 00:11:40,280 --> 00:11:42,520 Speaker 6: think it is. When I look at forecasts, it's not 233 00:11:42,559 --> 00:11:45,080 Speaker 6: just what the forecast is, it's where it's going. And 234 00:11:45,160 --> 00:11:47,959 Speaker 6: our forecasts, all the work our analysts do, have been 235 00:11:48,120 --> 00:11:51,040 Speaker 6: edging up all year and they're still edging up. And 236 00:11:51,160 --> 00:11:54,520 Speaker 6: most importantly, I think it's not just the usual suspects. 237 00:11:54,840 --> 00:11:58,520 Speaker 6: So yes, these seven incredible companies will yet again drive 238 00:11:58,559 --> 00:12:00,880 Speaker 6: plenty of earnings growth next year, So we think S 239 00:12:00,920 --> 00:12:03,400 Speaker 6: and P two seventy this year, three ten next year, 240 00:12:03,480 --> 00:12:06,360 Speaker 6: so we need forty dollars of extra earnings. We've got 241 00:12:06,400 --> 00:12:09,040 Speaker 6: the mag seven down for sixteen dollars of that, so 242 00:12:09,120 --> 00:12:10,480 Speaker 6: the rest of it has to come from the other 243 00:12:10,480 --> 00:12:13,080 Speaker 6: four hundred and ninety three. And I think that's happening. 244 00:12:13,120 --> 00:12:15,439 Speaker 6: And we're seeing expectations edging up a little bit there 245 00:12:15,440 --> 00:12:17,640 Speaker 6: as well, So yeah, we feel good about the earnings 246 00:12:17,640 --> 00:12:18,000 Speaker 6: part of it. 247 00:12:18,080 --> 00:12:20,079 Speaker 3: What are you with cash? Paul was looking at cash. 248 00:12:20,320 --> 00:12:23,600 Speaker 3: Did you ever get above five percent on money market funds? 249 00:12:23,760 --> 00:12:24,360 Speaker 6: No? 250 00:12:24,360 --> 00:12:26,800 Speaker 2: No, but that was nice though. That was nice. 251 00:12:26,840 --> 00:12:29,520 Speaker 3: And now it's three dollars six Yeah, if you've seen 252 00:12:29,559 --> 00:12:34,120 Speaker 3: a behavioral change and how we address cash, Stan Fisher 253 00:12:34,120 --> 00:12:36,960 Speaker 3: would go on a percentage basis, it's one point four 254 00:12:37,040 --> 00:12:40,760 Speaker 3: divided by five. Wow, that's a percentage move. What's a 255 00:12:40,880 --> 00:12:44,000 Speaker 3: change in cash appreciation? Yeah? 256 00:12:44,040 --> 00:12:46,679 Speaker 6: I think Look, investors have become more comfortable with this market. 257 00:12:46,760 --> 00:12:49,360 Speaker 6: I think right now investors are pretty comfortable with stocks. Again, 258 00:12:49,520 --> 00:12:52,120 Speaker 6: look at the prices they're paying, look at the types 259 00:12:52,160 --> 00:12:54,800 Speaker 6: of stocks people have been buying. The theme in the 260 00:12:54,840 --> 00:12:57,240 Speaker 6: market this year has been the risk risk rules, right, 261 00:12:57,280 --> 00:12:59,840 Speaker 6: the risk the better in some cases, particularly in small cap. 262 00:13:00,280 --> 00:13:03,840 Speaker 6: That again makes us a little bit nervous looking forward. 263 00:13:03,920 --> 00:13:06,200 Speaker 6: But do you want stocks over cash over any time? Friend? 264 00:13:06,240 --> 00:13:06,760 Speaker 6: Of course you do. 265 00:13:07,360 --> 00:13:07,600 Speaker 3: Yep. 266 00:13:07,679 --> 00:13:13,040 Speaker 4: So here it's interesting here outside what screens well for 267 00:13:13,120 --> 00:13:13,559 Speaker 4: you guys? 268 00:13:13,679 --> 00:13:17,920 Speaker 6: Right here you know the best returns on our platform. 269 00:13:18,040 --> 00:13:20,439 Speaker 6: So we run a lot of strategies by style and geography, 270 00:13:20,880 --> 00:13:25,480 Speaker 6: best returns this year international value, cheap stocks and cheap markets. 271 00:13:25,640 --> 00:13:29,440 Speaker 6: You made almost fifty percent European banks, that's a part 272 00:13:29,480 --> 00:13:29,720 Speaker 6: of it. 273 00:13:30,000 --> 00:13:34,240 Speaker 3: They're shaking at the JP Morgan digital experiment that Paul 274 00:13:34,320 --> 00:13:37,560 Speaker 3: Quincy is launching across Europe right now. The future of 275 00:13:37,600 --> 00:13:39,880 Speaker 3: European banks, what do you see? Are you allowed to 276 00:13:39,920 --> 00:13:40,480 Speaker 3: talk about that? 277 00:13:40,679 --> 00:13:44,040 Speaker 6: Yeah, of course. So look, first of all, the recent 278 00:13:44,120 --> 00:13:46,920 Speaker 6: history of European banks incredibly successful, right, So you've made 279 00:13:46,920 --> 00:13:48,720 Speaker 6: a lot more money in those stocks, even in the 280 00:13:49,200 --> 00:13:52,080 Speaker 6: much vaunted MAC seven over the last five years. It's 281 00:13:52,080 --> 00:13:54,560 Speaker 6: not that they've suddenly become amazing companies. It's that the 282 00:13:54,600 --> 00:13:56,800 Speaker 6: market left them for dead. It took them fifteen years 283 00:13:56,840 --> 00:14:00,320 Speaker 6: to get over the damage inflicted by the GFC. But 284 00:14:00,360 --> 00:14:04,520 Speaker 6: now they've restructured, they've got back to the core businesses. 285 00:14:04,600 --> 00:14:07,240 Speaker 6: Interest rates have gone up a bit, profitability goes up. 286 00:14:07,760 --> 00:14:10,400 Speaker 6: If you go from being a left for dead company, 287 00:14:10,400 --> 00:14:12,080 Speaker 6: he's just an okay company. You can make a lot 288 00:14:12,080 --> 00:14:12,360 Speaker 6: of money. 289 00:14:12,400 --> 00:14:14,959 Speaker 3: Key question I asked this is my Davos question. Are 290 00:14:14,960 --> 00:14:19,040 Speaker 3: they changing because it's an more Anglo American management style 291 00:14:19,360 --> 00:14:20,680 Speaker 3: yet relationship? 292 00:14:20,720 --> 00:14:23,560 Speaker 6: I think they're more realistic. So rather than trying to 293 00:14:23,560 --> 00:14:26,040 Speaker 6: compete investment banking with you know some of those other 294 00:14:26,080 --> 00:14:28,440 Speaker 6: guys that dominate those markets, these days, they focus more 295 00:14:28,480 --> 00:14:30,520 Speaker 6: on the local markets, on their car They've done a 296 00:14:30,520 --> 00:14:30,920 Speaker 6: good job. 297 00:14:31,000 --> 00:14:33,640 Speaker 3: Paul Auston, are you going to have as many food 298 00:14:33,680 --> 00:14:36,760 Speaker 3: courts that you're going do Palace in London as you've 299 00:14:36,760 --> 00:14:37,840 Speaker 3: got on Park Avenue. 300 00:14:37,880 --> 00:14:40,240 Speaker 6: Well, we're still working on that. As you know, the 301 00:14:40,280 --> 00:14:42,600 Speaker 6: food greers. 302 00:14:42,160 --> 00:14:45,160 Speaker 3: Is that the little like you're a Piccadilly and you 303 00:14:45,160 --> 00:14:46,480 Speaker 3: can buy your griers little? 304 00:14:46,600 --> 00:14:49,440 Speaker 6: Yeah, that's right. Maybe we'll weave that in careers time. 305 00:14:49,560 --> 00:14:51,960 Speaker 4: I mean, Paul's a graduated University of Durham, which I 306 00:14:52,320 --> 00:14:55,440 Speaker 4: just googles northeast part of England. I found our spot 307 00:14:55,640 --> 00:14:57,880 Speaker 4: the Woodman Inn Pub for you and I it is 308 00:14:57,960 --> 00:14:58,600 Speaker 4: that's where we're going. 309 00:14:58,680 --> 00:14:59,960 Speaker 6: Absolutely, there are many great pubs. 310 00:15:00,520 --> 00:15:03,400 Speaker 3: The Arab studies their first rate, and the cathedral is 311 00:15:03,480 --> 00:15:06,960 Speaker 3: arguably the best in uninety Kingdom. YEP, Don't be a stranger, 312 00:15:07,000 --> 00:15:09,200 Speaker 3: Come back, Bring your friends with you from JP Morgan. 313 00:15:09,280 --> 00:15:11,960 Speaker 3: Paul Quincy with us with JP Morgan here on an 314 00:15:12,000 --> 00:15:16,360 Speaker 3: important jobs stay with us. More from Bloomberg Surveillance coming 315 00:15:16,440 --> 00:15:24,520 Speaker 3: up after this. 316 00:15:24,520 --> 00:15:28,440 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 317 00:15:28,440 --> 00:15:31,760 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 318 00:15:31,880 --> 00:15:34,840 Speaker 1: with the Bloomberg Business app. You can also listen live 319 00:15:34,920 --> 00:15:38,520 Speaker 1: on Amazon Alexa from our flagship New York station, Just 320 00:15:38,560 --> 00:15:41,080 Speaker 1: Say Alexa Play Bloomberg eleven thirty. 321 00:15:41,400 --> 00:15:44,400 Speaker 3: Martha Gimble's on fire. The Budget Lab at yells you know. 322 00:15:44,440 --> 00:15:46,000 Speaker 3: I'm going to call it my think tank of the year. 323 00:15:46,040 --> 00:15:49,160 Speaker 3: Their work on tariffs was frightening. We're looking for a 324 00:15:49,240 --> 00:15:53,880 Speaker 3: tariff update here off of November from Martha. But right 325 00:15:53,920 --> 00:15:57,120 Speaker 3: now she's beginning what I think will be a Yale 326 00:15:57,200 --> 00:16:00,720 Speaker 3: Budget Lab effort on AI. Mar to just give us 327 00:16:00,760 --> 00:16:03,720 Speaker 3: the three x five card of the Yale Budget Lab 328 00:16:03,920 --> 00:16:07,640 Speaker 3: study of AI. In Lisa Matteo's Future job. 329 00:16:09,600 --> 00:16:12,280 Speaker 7: Well future who knows five to ten years down the 330 00:16:12,320 --> 00:16:15,160 Speaker 7: line could be anything. But at the moment, we're really 331 00:16:15,200 --> 00:16:20,480 Speaker 7: not seeing AI showing up in the labor market overall. So, 332 00:16:20,720 --> 00:16:23,000 Speaker 7: you know, there's been a lot of stromanbong, a lot 333 00:16:23,000 --> 00:16:25,520 Speaker 7: of hype about how people are currently losing their jobs 334 00:16:25,560 --> 00:16:27,960 Speaker 7: due to AI, and we're just not seeing that at 335 00:16:27,960 --> 00:16:28,680 Speaker 7: all in the data. 336 00:16:29,440 --> 00:16:31,640 Speaker 4: Is there an expectation that we will at some time 337 00:16:31,720 --> 00:16:34,480 Speaker 4: in the future, Because I just think about my early 338 00:16:34,560 --> 00:16:36,280 Speaker 4: days on Wall Street, it seems like most of the 339 00:16:36,360 --> 00:16:40,000 Speaker 4: tasks I performed as an investment banker can be done 340 00:16:40,000 --> 00:16:40,480 Speaker 4: by AI. 341 00:16:42,200 --> 00:16:44,360 Speaker 7: I mean, it'd be unusual, right for there to be 342 00:16:44,560 --> 00:16:49,080 Speaker 7: no labor market disruption when you introduce a major new technology. 343 00:16:49,600 --> 00:16:52,360 Speaker 7: I think the thing that everyone keeps forgetting right is 344 00:16:52,360 --> 00:16:57,280 Speaker 7: that it takes time for technological disruption to happen. It 345 00:16:57,320 --> 00:17:01,720 Speaker 7: took decades for electricity to throughout the labor market. It 346 00:17:01,760 --> 00:17:04,560 Speaker 7: even took a pretty long time for the Internet to 347 00:17:04,640 --> 00:17:07,880 Speaker 7: kick in, right. It wasn't like immediately in nineteen ninety seven, 348 00:17:08,000 --> 00:17:10,960 Speaker 7: we were changing all the things, and so you know, 349 00:17:11,000 --> 00:17:14,960 Speaker 7: a I feel so big and people are expecting to see, 350 00:17:15,480 --> 00:17:18,000 Speaker 7: you know, impacts immediately. That's just not how companies work. 351 00:17:18,080 --> 00:17:20,879 Speaker 3: So you don't have a guess out two years or 352 00:17:20,960 --> 00:17:22,440 Speaker 3: five years. You're that blind. 353 00:17:23,880 --> 00:17:26,400 Speaker 7: I don't think any of us really know where technology 354 00:17:26,480 --> 00:17:28,639 Speaker 7: is going. I will say I think the thing to 355 00:17:28,720 --> 00:17:34,520 Speaker 7: look for is a broader recession, because in recessions is 356 00:17:34,640 --> 00:17:39,880 Speaker 7: often when employers take advantage of that opportunity to make 357 00:17:40,119 --> 00:17:44,080 Speaker 7: you know, quote unquote labor saving productivity enhancements. They fire workers, 358 00:17:44,400 --> 00:17:48,360 Speaker 7: they you know, et cetera. And I think that's when 359 00:17:48,400 --> 00:17:51,080 Speaker 7: we'll have a better sense of how AI could be 360 00:17:51,080 --> 00:17:52,160 Speaker 7: impacted the labor market. 361 00:17:52,480 --> 00:17:56,080 Speaker 3: You led the charge from that Rose Garden moment in 362 00:17:56,240 --> 00:18:01,000 Speaker 3: April on tariff analysis. What you and Erny Tedesky did 363 00:18:01,160 --> 00:18:03,919 Speaker 3: was just just an act of God. What did you 364 00:18:04,119 --> 00:18:07,800 Speaker 3: fail at from April to December? When you look back, 365 00:18:07,920 --> 00:18:11,520 Speaker 3: Martha Gimble, what'd you get wrong? What'd you nail? What'd 366 00:18:11,560 --> 00:18:12,120 Speaker 3: you get right? 367 00:18:13,080 --> 00:18:17,720 Speaker 7: Oh my gosh, you know, I do think that actually, 368 00:18:17,720 --> 00:18:20,080 Speaker 7: I'm going to pick a kind of nerdy thing here 369 00:18:20,119 --> 00:18:22,960 Speaker 7: on tariffs. So one of the things that we got 370 00:18:22,960 --> 00:18:27,280 Speaker 7: wrong on tariffs was that we didn't realize how many 371 00:18:27,400 --> 00:18:31,840 Speaker 7: exceptions there were in the law currently for companies to 372 00:18:31,920 --> 00:18:35,280 Speaker 7: take advantage of that. They weren't filing the paperwork for 373 00:18:35,920 --> 00:18:38,240 Speaker 7: because it just wasn't worth it to them at previous 374 00:18:38,320 --> 00:18:43,320 Speaker 7: tarif phrase. But once the tariffs were high enough, companies started, 375 00:18:43,359 --> 00:18:46,480 Speaker 7: for instance, filing the paperwork to take advantage of the USMCA. 376 00:18:47,080 --> 00:18:49,600 Speaker 7: And so we've seen the share of goods coming into 377 00:18:49,640 --> 00:18:52,080 Speaker 7: the US from Canada and Mexico that are exempt under 378 00:18:52,080 --> 00:18:55,959 Speaker 7: the USMCA go from fifty percent to ninety percent. That 379 00:18:56,080 --> 00:18:58,359 Speaker 7: is not something we thought about. That is not something 380 00:18:58,400 --> 00:19:00,560 Speaker 7: we anticipated, and that is one of the reasons why 381 00:19:00,560 --> 00:19:02,280 Speaker 7: tariffs have had less of an impact than many of 382 00:19:02,359 --> 00:19:03,160 Speaker 7: us anticipated. 383 00:19:03,840 --> 00:19:07,080 Speaker 4: How do you expect tariffs to impact the economy, if 384 00:19:07,080 --> 00:19:08,720 Speaker 4: at all, in twenty twenty six. 385 00:19:10,280 --> 00:19:12,760 Speaker 7: That's partly a question for the Supreme Court, and we're 386 00:19:12,800 --> 00:19:17,320 Speaker 7: all to find out. You know, it's kind of interesting 387 00:19:17,560 --> 00:19:21,040 Speaker 7: because you know, yes, we think that tariffs are slowing 388 00:19:21,080 --> 00:19:25,800 Speaker 7: down the economy, but also if the Supreme Court overthrows 389 00:19:25,840 --> 00:19:28,800 Speaker 7: the tariffs, that's going to throw much more uncertainty back 390 00:19:28,840 --> 00:19:30,600 Speaker 7: into the economy because we're going to be back where 391 00:19:30,600 --> 00:19:33,560 Speaker 7: we were beginning middle of this year with like new 392 00:19:33,600 --> 00:19:39,320 Speaker 7: tariff announcements every day as the administration starts using other 393 00:19:39,440 --> 00:19:41,960 Speaker 7: tariff authorities. It's got Kevin Hassett was just out there 394 00:19:41,960 --> 00:19:45,200 Speaker 7: today saying they have a plan if the Supreme Court 395 00:19:45,240 --> 00:19:51,760 Speaker 7: overrules them. So you know, I think my team in 396 00:19:51,800 --> 00:19:54,639 Speaker 7: some ways is hoping the Supreme Court upholds the tariffs. 397 00:19:54,680 --> 00:19:57,639 Speaker 7: They don't have to go back to doing tariff o. 398 00:19:58,040 --> 00:20:01,000 Speaker 3: It just congratulations is think of the year. You guys 399 00:20:01,040 --> 00:20:03,240 Speaker 3: just absolutely killed it. I have no idea what you're 400 00:20:03,240 --> 00:20:06,560 Speaker 3: doing for next year. Folks follow Martha Gimble g I 401 00:20:06,760 --> 00:20:09,760 Speaker 3: M B E L follow her, and she's actually got 402 00:20:09,800 --> 00:20:13,520 Speaker 3: a Twitter handle that makes sense at Martha Gimble amazing. 403 00:20:13,760 --> 00:20:16,160 Speaker 3: You gotta go to Yale to do that, and it's 404 00:20:16,160 --> 00:20:19,080 Speaker 3: a great feat of firm. And Jed Coco's in here, EARNINGE. 405 00:20:19,080 --> 00:20:21,680 Speaker 3: Tedesky's an here. I just can't say enough of thought 406 00:20:21,760 --> 00:20:25,800 Speaker 3: following Martha Gimble sort of on the linkage between markets 407 00:20:25,800 --> 00:20:29,000 Speaker 3: and academics here and all this stuff that we mumble 408 00:20:29,119 --> 00:20:32,760 Speaker 3: jumble about. Martha. Congratulations to the budget lab at Yale. 409 00:20:33,040 --> 00:20:35,560 Speaker 3: Just a spectacular here. We'll start the year of strong 410 00:20:36,160 --> 00:20:40,280 Speaker 3: where there is well. Stay with us. More from Bloomberg 411 00:20:40,400 --> 00:20:49,480 Speaker 3: Surveillance coming up after this. 412 00:20:49,480 --> 00:20:53,359 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 413 00:20:53,440 --> 00:20:56,439 Speaker 1: starting at seven am Eastern on Apple Corplay and Android 414 00:20:56,480 --> 00:20:59,520 Speaker 1: Auto with the Bloomberg Business app. You can also listen 415 00:20:59,560 --> 00:21:02,800 Speaker 1: live on Amazon Alexa from our flagship New York station. 416 00:21:03,400 --> 00:21:06,320 Speaker 1: Just say Alexa play Bloomberg eleven thirty. 417 00:21:06,280 --> 00:21:09,480 Speaker 3: Metleting snow, we think that problem will disappear. Tell us 418 00:21:09,480 --> 00:21:11,240 Speaker 3: about the newspapers the challenges to. 419 00:21:11,440 --> 00:21:12,080 Speaker 2: Yeah, here we go. 420 00:21:12,200 --> 00:21:15,000 Speaker 8: So this is the wealthiest families in the world kind 421 00:21:15,000 --> 00:21:17,600 Speaker 8: of looking into them and they how they have never 422 00:21:17,640 --> 00:21:19,960 Speaker 8: been richer, and that includes the richest family of twenty 423 00:21:20,000 --> 00:21:22,640 Speaker 8: twenty five. So this is, according to Bloomberg, we're talking about, Yes, 424 00:21:22,680 --> 00:21:24,200 Speaker 8: the founding family of. 425 00:21:24,200 --> 00:21:25,800 Speaker 6: Walmart, the Waltons. 426 00:21:26,320 --> 00:21:29,400 Speaker 8: They top the world's Richest families list again, a net 427 00:21:29,440 --> 00:21:33,280 Speaker 8: worth that exceeds half a trillion dollars for the first time. 428 00:21:33,680 --> 00:21:36,199 Speaker 8: They own about forty four percent of the retailer. But 429 00:21:36,240 --> 00:21:38,560 Speaker 8: the thing is in this story, it's not just the Waltons, 430 00:21:38,560 --> 00:21:42,440 Speaker 8: they say the twenty five richest families. They're collectively three 431 00:21:42,560 --> 00:21:45,200 Speaker 8: hundred and fifty eight point seven billion dollars richer than 432 00:21:45,240 --> 00:21:48,280 Speaker 8: a year ago, with a combined fortune of two point 433 00:21:48,400 --> 00:21:51,640 Speaker 8: nine trillion dollars. A lot of things helping them stock 434 00:21:51,720 --> 00:21:54,840 Speaker 8: prices demand for goods like metals, pet food, but also 435 00:21:54,880 --> 00:21:57,119 Speaker 8: thanks to their experience, they kind of recruit over the decades. 436 00:21:57,160 --> 00:21:59,480 Speaker 8: So that's what Bloomberg is saying. Four families actually did 437 00:21:59,600 --> 00:22:00,159 Speaker 8: join the life. 438 00:22:00,560 --> 00:22:01,480 Speaker 6: For the first time. 439 00:22:01,520 --> 00:22:03,520 Speaker 8: But it just goes to show you how much more 440 00:22:04,160 --> 00:22:05,240 Speaker 8: rich the richer are getting. 441 00:22:05,240 --> 00:22:06,760 Speaker 4: Well, the top five families I'm just looking at the 442 00:22:06,760 --> 00:22:11,399 Speaker 4: story come from the Middle East, Qatar, Saudi Arabia, United 443 00:22:11,400 --> 00:22:14,120 Speaker 4: Arab Emirates, so reflecting energy. 444 00:22:14,359 --> 00:22:14,840 Speaker 3: There you go. 445 00:22:15,119 --> 00:22:16,080 Speaker 6: All right, good for them. 446 00:22:16,359 --> 00:22:18,920 Speaker 8: Okay, Now this is one way you can get rich. Okay, 447 00:22:18,960 --> 00:22:20,840 Speaker 8: this is another way. This is in the New York Post. 448 00:22:21,160 --> 00:22:23,640 Speaker 8: It's just another excuse to buy that pricey handbag. 449 00:22:23,680 --> 00:22:23,920 Speaker 6: Okay. 450 00:22:23,960 --> 00:22:26,040 Speaker 8: They say one of the most savvy investments you can 451 00:22:26,119 --> 00:22:29,960 Speaker 8: make is a twelve thousand dollars handbag. Let me break 452 00:22:29,960 --> 00:22:30,520 Speaker 8: it down for you. 453 00:22:31,600 --> 00:22:32,800 Speaker 6: Here we go. Okay. 454 00:22:32,840 --> 00:22:35,880 Speaker 8: So they say the ultrarare Air May's Burken It could 455 00:22:35,920 --> 00:22:39,080 Speaker 8: get twice at sticker price on the secondary market within 456 00:22:39,280 --> 00:22:42,439 Speaker 8: five years, and the Kelly bag can climb twenty to 457 00:22:42,440 --> 00:22:45,480 Speaker 8: forty percent in value over the same period. I hope 458 00:22:45,480 --> 00:22:50,120 Speaker 8: you're listening out there. Luxury resale authentation, this platform Open Luxury. 459 00:22:50,280 --> 00:22:52,680 Speaker 8: They say the resale value of particularly the Burken and 460 00:22:52,720 --> 00:22:55,719 Speaker 8: Kelly bags over the past ten years has outpaced Gold. 461 00:22:56,040 --> 00:22:58,439 Speaker 8: They say it's similar to buying a picasso that you 462 00:22:58,560 --> 00:23:01,159 Speaker 8: kind of hold in your home. And if you want 463 00:23:01,240 --> 00:23:04,240 Speaker 8: the data, because we need the facts behind this, right okay, 464 00:23:04,560 --> 00:23:06,879 Speaker 8: Burke and Bags they posted an average annual gain of 465 00:23:06,880 --> 00:23:10,440 Speaker 8: fourteen point two percent between nineteen eighty and twenty fifteen. 466 00:23:10,880 --> 00:23:13,160 Speaker 8: That beat the S and P five hundreds eight point 467 00:23:13,200 --> 00:23:16,760 Speaker 8: seven and Gold's negative one point five percent return over 468 00:23:16,800 --> 00:23:17,600 Speaker 8: that same period. 469 00:23:17,760 --> 00:23:19,760 Speaker 4: I mean, do you carry these things out in public 470 00:23:19,840 --> 00:23:21,480 Speaker 4: or is it a piece of art that and that 471 00:23:21,520 --> 00:23:23,320 Speaker 4: you put it in like a seculars. 472 00:23:23,040 --> 00:23:25,240 Speaker 8: Yeah, it's like like a picasso. You know, you just 473 00:23:25,320 --> 00:23:29,320 Speaker 8: gotta hang it there and get your money back. That's 474 00:23:29,320 --> 00:23:31,320 Speaker 8: what it's about, right, It's an investment. 475 00:23:31,920 --> 00:23:33,160 Speaker 3: I'm just fascinated here. 476 00:23:33,720 --> 00:23:35,800 Speaker 6: Just someone is listening. 477 00:23:37,440 --> 00:23:39,520 Speaker 8: And this was this one is actually pretty funny. It 478 00:23:39,600 --> 00:23:42,359 Speaker 8: was a Saturday Night Live spoof. It has now become 479 00:23:42,480 --> 00:23:45,240 Speaker 8: a reality. So Saturday Night Live was making fun of 480 00:23:45,240 --> 00:23:48,919 Speaker 8: remember Spotify rapped, like it gives you the breakdown of who. 481 00:23:48,720 --> 00:23:50,280 Speaker 7: Who your artists were with age? 482 00:23:50,320 --> 00:23:50,879 Speaker 4: You know your. 483 00:23:50,720 --> 00:23:55,720 Speaker 8: Spotify age, you know it was not So they did 484 00:23:55,800 --> 00:23:59,680 Speaker 8: a skit about Uber Eats Wrapped, which is about discovering 485 00:23:59,680 --> 00:24:02,240 Speaker 8: how much you spend on Uber eats, your Uber eats 486 00:24:02,280 --> 00:24:05,200 Speaker 8: age and also the most frequented restaurants. 487 00:24:05,240 --> 00:24:06,639 Speaker 6: Take a listen min you. 488 00:24:06,640 --> 00:24:09,440 Speaker 1: Can find out which restaurants you couldn't live without. 489 00:24:09,560 --> 00:24:12,879 Speaker 5: Taco Bell, five Guys, Burger, King, Pola. 490 00:24:12,800 --> 00:24:14,840 Speaker 6: Guest that explains why the Plumber's always here. 491 00:24:15,280 --> 00:24:19,000 Speaker 8: Yes, okay, so the uber has made it reality. Uber 492 00:24:19,040 --> 00:24:24,120 Speaker 8: has now launched Uber okay that compiles user's activity from 493 00:24:24,119 --> 00:24:27,680 Speaker 8: across Uber but also Uber Eats. So well, yes, break 494 00:24:27,720 --> 00:24:30,600 Speaker 8: down like what restaurants you kind of frequented the most. 495 00:24:31,400 --> 00:24:34,119 Speaker 8: It goes across your Uber schedule too, like if you 496 00:24:34,160 --> 00:24:37,000 Speaker 8: went for the Uber Comfort, how many things like that? 497 00:24:37,080 --> 00:24:39,520 Speaker 8: It puts you in different categories. And yes, you can 498 00:24:39,600 --> 00:24:42,720 Speaker 8: share it on social media with everyone, just at the 499 00:24:42,760 --> 00:24:43,639 Speaker 8: click of a button. 500 00:24:44,000 --> 00:24:46,040 Speaker 6: So check your Uber account, my. 501 00:24:46,160 --> 00:24:50,680 Speaker 3: Uber account, the Offsprings Uber account. It's incomputable. The newspapers, 502 00:24:50,680 --> 00:24:52,120 Speaker 3: Lisa Mattella. 503 00:24:52,560 --> 00:24:57,399 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify 504 00:24:57,520 --> 00:25:01,280 Speaker 1: and anywhere else you get your podcasts. Listen live each 505 00:25:01,320 --> 00:25:05,160 Speaker 1: weekday seven to ten am Eastern on Bloomberg dot com, 506 00:25:05,320 --> 00:25:09,119 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 507 00:25:09,400 --> 00:25:12,520 Speaker 1: You can also watch us live every weekday on YouTube 508 00:25:12,800 --> 00:25:14,840 Speaker 1: and always on the Bloomberg Terminal