1 00:00:02,529 --> 00:00:05,370 Speaker 1: Bloomberg Audio Studios. Podcasts. 2 00:00:05,690 --> 00:00:06,210 Speaker 2: Radio. 3 00:00:06,660 --> 00:00:07,040 Speaker 3: News. 4 00:00:12,520 --> 00:00:16,660 Speaker 4: This is the Bloomberg Surveillance Podcast. Catch us live weekdays 5 00:00:16,720 --> 00:00:20,230 Speaker 4: at 7 a.m. Eastern on Apple CarPlay or Android Auto 6 00:00:20,290 --> 00:00:23,890 Speaker 4: with the Bloomberg Business app. Listen on demand wherever you 7 00:00:23,910 --> 00:00:26,990 Speaker 4: get your podcasts or watch us live on YouTube. 8 00:00:27,670 --> 00:00:30,370 Speaker 2: I am laughing. It is a jewel, folks. Into the 9 00:00:30,510 --> 00:00:34,770 Speaker 2: economic data here in a moment. Just out, smart investing 10 00:00:34,950 --> 00:00:39,180 Speaker 2: in real life from two grizzled pioneers of the business, 11 00:00:39,240 --> 00:00:43,020 Speaker 2: David Katz. Steven Weinberger, I love what you've got on 12 00:00:43,080 --> 00:00:47,000 Speaker 2: page 167. It's the husband and the wife. They're at dinner. 13 00:00:47,020 --> 00:00:52,290 Speaker 2: They're having wine and candlelight. It's beautiful. He's on the phone. 14 00:00:52,870 --> 00:00:57,150 Speaker 2: And to think, if I hadn't been having dinner, I 15 00:00:57,790 --> 00:01:02,940 Speaker 2: might have missed this wonderful investment opportunity. Boy, does that 16 00:01:03,160 --> 00:01:05,940 Speaker 2: sum it up as well. There's an old way that 17 00:01:05,980 --> 00:01:09,080 Speaker 2: we used to do this. What does David Katz say 18 00:01:09,100 --> 00:01:13,209 Speaker 2: is the new way to do investment if I'm not 19 00:01:13,310 --> 00:01:16,709 Speaker 2: picking up the phone at dinner on an investment opportunity? 20 00:01:16,830 --> 00:01:19,290 Speaker 3: What the book focuses on is the old way. We 21 00:01:19,330 --> 00:01:22,819 Speaker 3: think setting up a long-term plan, sticking to that plan, 22 00:01:22,920 --> 00:01:24,959 Speaker 3: trying to keep costs low is the best way to 23 00:01:25,000 --> 00:01:28,920 Speaker 3: increase wealth, not getting obsessed with the day-to-day volatility. And 24 00:01:28,959 --> 00:01:30,399 Speaker 3: it's really a guide on how to do that. 25 00:01:30,480 --> 00:01:34,640 Speaker 2: Are we over diversified today? Are we doing too many things? 26 00:01:35,050 --> 00:01:38,910 Speaker 2: Steve Ballmer bought Microsoft, said that's it. That's what I'm doing. 27 00:01:39,250 --> 00:01:40,770 Speaker 2: Are we over diversified? 28 00:01:41,110 --> 00:01:44,209 Speaker 3: Well, certain investor portfolios that might have 20 different funds 29 00:01:44,690 --> 00:01:47,490 Speaker 3: are over diversified. But you'll also see right now you're 30 00:01:47,510 --> 00:01:50,680 Speaker 3: talking about the AI implosion. A lot of investors put 31 00:01:50,720 --> 00:01:53,059 Speaker 3: a lot of eggs in that AI basket and they're 32 00:01:53,080 --> 00:01:55,020 Speaker 3: a little bit too concentrated. So there's some sort of 33 00:01:55,080 --> 00:01:55,860 Speaker 3: balance in between. 34 00:01:56,780 --> 00:01:58,940 Speaker 5: So dig into that a little bit, because a lot 35 00:01:58,960 --> 00:02:01,770 Speaker 5: of the indices that people invest in in markets is 36 00:02:01,830 --> 00:02:05,650 Speaker 5: market cap weighted. So when you get these mega cap 37 00:02:05,970 --> 00:02:09,770 Speaker 5: names in there, you tend to be very concentrated in 38 00:02:09,810 --> 00:02:13,970 Speaker 5: your investing. So are these doing a disservice to some 39 00:02:14,530 --> 00:02:15,429 Speaker 5: investors in the long term? 40 00:02:15,550 --> 00:02:18,030 Speaker 3: Well, the S & P 500 is a living index. 41 00:02:18,090 --> 00:02:20,660 Speaker 3: And right now, you're right. It's probably the most overweighted 42 00:02:20,690 --> 00:02:23,180 Speaker 3: to growth that it's been in some time. So you 43 00:02:23,220 --> 00:02:25,460 Speaker 3: do have to understand that as an investor. You just 44 00:02:25,480 --> 00:02:26,980 Speaker 3: don't want to put all your eggs in the S & 45 00:02:26,700 --> 00:02:29,079 Speaker 3: P basket and think you're most diversified. There are other 46 00:02:29,139 --> 00:02:32,060 Speaker 3: areas to be. There's small cap, mid cap, international. 47 00:02:33,740 --> 00:02:37,590 Speaker 2: What about 60-40? I asked that survivor in Jersey earlier, 48 00:02:37,690 --> 00:02:38,790 Speaker 2: Waylia Blackrock. 49 00:02:39,139 --> 00:02:41,459 Speaker 3: Again, there will always be times when it doesn't work, 50 00:02:41,520 --> 00:02:44,700 Speaker 3: but for long-term investors, having a 60-40 or 70-30 asset 51 00:02:45,380 --> 00:02:47,440 Speaker 3: allocation is going to allow you to grow with the 52 00:02:47,500 --> 00:02:49,470 Speaker 3: stock market over time, but be a little bit more 53 00:02:49,510 --> 00:02:50,730 Speaker 3: protected on the bond side. 54 00:02:50,770 --> 00:02:53,549 Speaker 2: What do you do with the impatient investor? They're not 55 00:02:53,630 --> 00:02:59,440 Speaker 2: long-term investors. They're behind actuarially to their retirement. They're not there. 56 00:02:59,919 --> 00:03:01,190 Speaker 2: What do you do to that person? 57 00:03:01,490 --> 00:03:03,810 Speaker 3: So we keep talking about that in the book. The 58 00:03:03,870 --> 00:03:06,489 Speaker 3: key to success is taking that long-term approach. 59 00:03:06,590 --> 00:03:10,190 Speaker 2: Yeah, but they don't. What percentage of people come into 60 00:03:10,210 --> 00:03:15,490 Speaker 2: the door, David, don't have a matrix asset? They haven't 61 00:03:15,550 --> 00:03:15,930 Speaker 2: done that. 62 00:03:16,880 --> 00:03:18,980 Speaker 3: So a lot of people don't do that. So we're 63 00:03:19,040 --> 00:03:21,380 Speaker 3: sort of, the lesson is you got to do that 64 00:03:21,419 --> 00:03:23,770 Speaker 3: to be successful. We think if you're trying to chase 65 00:03:23,810 --> 00:03:25,669 Speaker 3: the past trends, you don't do as well. And all 66 00:03:25,690 --> 00:03:28,970 Speaker 3: of these studies show that if the average mutual fund 67 00:03:29,010 --> 00:03:31,410 Speaker 3: makes 10%, the average investor in that fund makes 7%, 68 00:03:31,410 --> 00:03:33,480 Speaker 3: that's because they're trading in and out at the wrong times. 69 00:03:37,170 --> 00:03:40,440 Speaker 5: So some of the sectors that you like currently, right, 70 00:03:40,900 --> 00:03:46,280 Speaker 5: you like staples, discretionary, interestingly, utilities. And, you know, utilities 71 00:03:46,380 --> 00:03:49,240 Speaker 5: are one of those sleepy sectors that, you know, you 72 00:03:49,260 --> 00:03:52,220 Speaker 5: think about buying for income and for dividends, not necessarily 73 00:03:52,320 --> 00:03:55,440 Speaker 5: for growth. So talk about why maybe you like some 74 00:03:55,460 --> 00:03:56,480 Speaker 5: of these sectors. 75 00:03:56,160 --> 00:03:56,680 Speaker 6: More than others. 76 00:03:57,180 --> 00:03:59,700 Speaker 3: So the stock market has been a risk on, risk 77 00:03:59,720 --> 00:04:01,940 Speaker 3: off stock market, winners and losers. And the stuff that 78 00:04:01,960 --> 00:04:04,840 Speaker 3: we highlighted there have really been done poorly this year. 79 00:04:04,900 --> 00:04:07,410 Speaker 3: They've lagged the market. And we think some of the 80 00:04:07,490 --> 00:04:10,600 Speaker 3: better opportunities on a go-forward basis, where is the puck 81 00:04:10,620 --> 00:04:13,340 Speaker 3: going to go, is in these places. Consumer staples, there 82 00:04:13,360 --> 00:04:15,600 Speaker 3: are a lot of good businesses at 14 times earnings. 83 00:04:16,100 --> 00:04:18,200 Speaker 3: Utilities had a great run, gave it all back when 84 00:04:18,220 --> 00:04:20,590 Speaker 3: you had the AI sell-off take hold. There are a 85 00:04:20,589 --> 00:04:22,230 Speaker 3: lot of utilities right now that are paying a 3.5%, 4% 86 00:04:22,230 --> 00:04:26,400 Speaker 3: yield It's 16 times earnings that are going to benefit 87 00:04:26,700 --> 00:04:28,900 Speaker 3: by the AI build-out and more electrical usage. 88 00:04:29,140 --> 00:04:31,469 Speaker 2: David Katz, please stay with us here as we celebrate 89 00:04:31,510 --> 00:04:33,849 Speaker 2: his wonderful new book. And we come up on the 90 00:04:34,070 --> 00:04:36,950 Speaker 2: economic data this morning. Red and green on the screen, 91 00:04:36,970 --> 00:04:41,760 Speaker 2: but the VIX over two days shows that. AI tensions 92 00:04:41,760 --> 00:04:45,180 Speaker 2: 17.48 on the VIX. You see price up and yield down. 93 00:04:45,200 --> 00:04:49,180 Speaker 2: There is a flight to quality into this important economic 94 00:04:49,220 --> 00:04:54,320 Speaker 2: data of retail sales in initial jobless claims and PPI. 95 00:04:54,360 --> 00:04:57,660 Speaker 2: Let's go to the data. Here is Alexis Christophorus. 96 00:04:58,400 --> 00:05:02,650 Speaker 7: Wholesale prices for the month of September are out, and 97 00:05:02,690 --> 00:05:06,110 Speaker 7: they show a month-over-month increase of 0.8%, much hotter than expected. Actually, 98 00:05:06,150 --> 00:05:10,150 Speaker 7: they are up 1.3%, so much hotter than estimates of 0.6%. 99 00:05:16,370 --> 00:05:19,930 Speaker 7: And hotter than the 0.4% we saw the prior month. 100 00:05:20,630 --> 00:05:26,070 Speaker 7: We also saw year-over-year wholesale prices rallying to 6.3%. Estimates 101 00:05:26,120 --> 00:05:30,740 Speaker 7: were for 5.4%. And the prior month was 5.4%. Let's 102 00:05:30,779 --> 00:05:34,540 Speaker 7: take out volatile food and energy for a moment. And month-over-month, 103 00:05:34,640 --> 00:05:40,540 Speaker 7: PPI up 0.7%. That is hotter than the 0.3% expected 104 00:05:40,740 --> 00:05:44,950 Speaker 7: and more than an acceleration, really, from the 0.2% we 105 00:05:45,010 --> 00:05:47,250 Speaker 7: saw in August. And if we take out food and 106 00:05:47,310 --> 00:05:50,020 Speaker 7: energy year over year, PPI up 5%. Estimates were for 4.4%. 107 00:05:50,020 --> 00:05:52,760 Speaker 7: This compares to 4.6%. 108 00:05:55,900 --> 00:05:56,640 Speaker 6: In August. 109 00:05:56,760 --> 00:06:00,570 Speaker 7: So we're seeing on every measure inflation at the wholesale 110 00:06:00,589 --> 00:06:04,669 Speaker 7: level coming in stronger than expected. Elevated prices for crude, gas, 111 00:06:04,770 --> 00:06:08,450 Speaker 7: diesel continuing to drive wholesale and manufacturing input costs higher. 112 00:06:08,850 --> 00:06:11,210 Speaker 7: Of course, this report coming a day after a hotter 113 00:06:11,230 --> 00:06:14,150 Speaker 7: than expected September consumer price index. Let's get to those 114 00:06:14,210 --> 00:06:17,230 Speaker 7: retail sales numbers now. Month over month, up 0.8%. So 115 00:06:19,680 --> 00:06:23,500 Speaker 7: consumers continuing to spend despite higher inflation. The pace of spending, though, 116 00:06:23,520 --> 00:06:26,679 Speaker 7: was slowed a little bit because retail sales were up 1.2%. 117 00:06:26,680 --> 00:06:28,760 Speaker 7: The prior month, if we take out auto and gas 118 00:06:28,839 --> 00:06:32,159 Speaker 7: on retail sales, up a scant two-tenths of a percent, 119 00:06:32,480 --> 00:06:34,719 Speaker 7: right in line with estimates and a lot lower than 120 00:06:34,740 --> 00:06:37,100 Speaker 7: that 1.2% we saw the prior month. But I just 121 00:06:37,140 --> 00:06:40,420 Speaker 7: want to repeat one more time that wholesale inflation month 122 00:06:40,520 --> 00:06:42,640 Speaker 7: over month up 1.3% and year over year up a 123 00:06:42,680 --> 00:06:43,080 Speaker 7: hot 6.3%. 124 00:06:43,080 --> 00:06:49,950 Speaker 2: Guys, Alexis, thanks so much. Ira Juzzi with us. What 125 00:06:49,990 --> 00:06:52,490 Speaker 2: a joy that is this morning. Paul Sweeney, I believe, 126 00:06:52,510 --> 00:06:57,260 Speaker 2: in tomorrow. And basically, bonds crush yields lower prices higher 127 00:06:57,380 --> 00:06:59,600 Speaker 2: as well. I'm looking at this. And first of all, 128 00:06:59,640 --> 00:07:01,520 Speaker 2: you need to leave the studio and go to work. 129 00:07:02,250 --> 00:07:05,550 Speaker 2: I mean, does this do we actually begin discussing with 130 00:07:05,589 --> 00:07:08,480 Speaker 2: this inflation print? an October increase? 131 00:07:08,540 --> 00:07:09,740 Speaker 6: Well, I don't think so. 132 00:07:10,240 --> 00:07:14,060 Speaker 5: I still think December is most likely. The interesting thing 133 00:07:14,080 --> 00:07:16,480 Speaker 5: about here is margins, right? So when PPI goes up 134 00:07:16,580 --> 00:07:20,480 Speaker 5: faster than CPI, that means that margins theoretically should be compressing. 135 00:07:20,780 --> 00:07:23,200 Speaker 5: And that's something that we look at at the aggregate 136 00:07:23,250 --> 00:07:25,050 Speaker 5: level quite often. So that's something I'm going to be 137 00:07:25,070 --> 00:07:28,030 Speaker 5: looking at. But interestingly, behind all of this, there's this 138 00:07:28,070 --> 00:07:32,470 Speaker 5: little wonky data print called the Retail Sales Control Group, 139 00:07:32,650 --> 00:07:35,690 Speaker 5: which is all those pieces of retail sales that go 140 00:07:35,870 --> 00:07:40,840 Speaker 5: into GDP, and that's weaker than expected. And 0.1%, that's 141 00:07:40,880 --> 00:07:41,500 Speaker 5: actually pretty low. 142 00:07:42,060 --> 00:07:44,090 Speaker 2: I agree. That's the line that I went to as 143 00:07:44,130 --> 00:07:47,150 Speaker 2: an amateur. Explain to us what that means. I mean, 144 00:07:47,170 --> 00:07:50,100 Speaker 2: this is Where Whaley was, which is that GDP is 145 00:07:50,130 --> 00:07:51,940 Speaker 2: just not as solid as it's been. 146 00:07:51,960 --> 00:07:56,200 Speaker 5: Yeah, so basically when you think about the personal consumption expenditures, right, 147 00:07:56,220 --> 00:07:59,300 Speaker 5: that's personal consumption is about two-thirds of GDP. 148 00:08:00,300 --> 00:08:01,980 Speaker 6: The retail sales control. 149 00:08:01,700 --> 00:08:04,790 Speaker 5: Group are the pieces of this report that go into 150 00:08:04,850 --> 00:08:08,750 Speaker 5: that reading. And this is relatively weak. Now, granted, it's 151 00:08:08,910 --> 00:08:11,510 Speaker 5: one number and it's only one month. But the question is, 152 00:08:11,610 --> 00:08:12,790 Speaker 5: is this going to be a trend that we see? 153 00:08:13,190 --> 00:08:15,280 Speaker 5: That sounds like David Katz talking. 154 00:08:15,300 --> 00:08:18,560 Speaker 2: Let's go back to David Katz, Matrix Asset Advisors, as 155 00:08:18,600 --> 00:08:22,960 Speaker 2: we celebrate a really useful book on Investing 101, Smart 156 00:08:23,080 --> 00:08:27,770 Speaker 2: Investing in Real Life. What's changed is the media focus. 157 00:08:27,830 --> 00:08:31,070 Speaker 2: It's Tom Keen's fault. We have this media frenzy of 158 00:08:31,130 --> 00:08:35,290 Speaker 2: looking at economic data. How do you listen to Tom 159 00:08:35,390 --> 00:08:39,859 Speaker 2: Keen but ignore him for the sanctity of your long-term plan? 160 00:08:40,400 --> 00:08:43,079 Speaker 3: And for your long-term sanity. It's very important to know 161 00:08:43,100 --> 00:08:43,780 Speaker 3: what's going on. 162 00:08:43,800 --> 00:08:44,960 Speaker 2: You talk to Mrs. Keene? 163 00:08:46,140 --> 00:08:48,040 Speaker 3: It's very important to know what's going on on a 164 00:08:48,110 --> 00:08:50,229 Speaker 3: daily and monthly basis, but we think that from an 165 00:08:50,290 --> 00:08:53,050 Speaker 3: investment perspective, you want to take a longer-term view. 166 00:08:53,250 --> 00:08:55,150 Speaker 2: How do you divide the two? This is the heart 167 00:08:55,210 --> 00:08:56,890 Speaker 2: of the matter. How do you divide the two? 168 00:08:57,110 --> 00:08:59,550 Speaker 3: Set up a long-term plan, stick with that plan, be 169 00:08:59,620 --> 00:09:01,940 Speaker 3: aware of what's going on. So we would not react 170 00:09:01,980 --> 00:09:04,059 Speaker 3: to today's print and all of a sudden change your 171 00:09:04,280 --> 00:09:08,380 Speaker 3: asset allocation and and change your equity exposures based on that. 172 00:09:09,000 --> 00:09:10,240 Speaker 3: But be aware of what's going on. 173 00:09:10,270 --> 00:09:13,170 Speaker 2: What do you see in the David Katz world of 174 00:09:13,250 --> 00:09:16,530 Speaker 2: consumption right now? Do you see an exhausted America? 175 00:09:17,429 --> 00:09:20,189 Speaker 3: We think the consumer has been surprisingly strong. We think 176 00:09:20,210 --> 00:09:22,830 Speaker 3: the economy has been shockingly strong and we think that 177 00:09:22,870 --> 00:09:25,380 Speaker 3: it's going to continue to be OK. We do think 178 00:09:25,420 --> 00:09:27,900 Speaker 3: in terms of today's hot inflation number, if there's ever 179 00:09:28,040 --> 00:09:30,920 Speaker 3: sort of an exit ramp out of Iran, oil prices 180 00:09:30,940 --> 00:09:33,630 Speaker 3: will come down sharply. And the inflation numbers, which have 181 00:09:33,650 --> 00:09:37,360 Speaker 3: been pretty negative, will cool down a lot. And then 182 00:09:37,400 --> 00:09:39,060 Speaker 3: we think that's going to take pressure off the Fed. 183 00:09:39,360 --> 00:09:40,579 Speaker 3: And that would be bullish for the market. 184 00:09:40,600 --> 00:09:42,860 Speaker 2: Do you agree with that, old wise one? Well, yeah. 185 00:09:42,900 --> 00:09:45,699 Speaker 5: I mean, if oil prices come down, ironically, you know, 186 00:09:45,820 --> 00:09:48,079 Speaker 5: oil and gas prices being where they are is a 187 00:09:48,120 --> 00:09:50,760 Speaker 5: tax on the consumer. So, you know, if those go down, 188 00:09:51,040 --> 00:09:51,729 Speaker 5: growth should be better. 189 00:09:51,950 --> 00:09:53,770 Speaker 2: Is the tariff a tax on a consumer? 190 00:09:54,270 --> 00:09:54,750 Speaker 6: Absolutely. 191 00:09:55,320 --> 00:09:58,240 Speaker 2: You can stay. David Katz, thank you. Thanks a lot. 192 00:09:58,300 --> 00:10:00,820 Speaker 2: I want to get you, Scarlett, for your email. We 193 00:10:00,840 --> 00:10:03,339 Speaker 2: need to get David Katz on Bloomberg Money. The book 194 00:10:03,380 --> 00:10:07,079 Speaker 2: is a celebration. Smart investing in real life. Can't say 195 00:10:07,120 --> 00:10:09,890 Speaker 2: enough about it. I'll do that on Twitter and LinkedIn today. 196 00:10:09,929 --> 00:10:12,990 Speaker 2: David Katz, Matrix. Thank you so much as well. Let 197 00:10:13,010 --> 00:10:14,929 Speaker 2: me look at the market right now with Ira Jersey 198 00:10:15,130 --> 00:10:18,630 Speaker 2: because our next guest is beyond esteemed. I mean, David, 199 00:10:18,670 --> 00:10:22,630 Speaker 2: let's move aside for Dana Telsey as we get her 200 00:10:22,710 --> 00:10:25,910 Speaker 2: in here. I'm looking, Ira, at the yield space. And 201 00:10:25,950 --> 00:10:29,700 Speaker 2: I mean, it's not often that you see yields gyrate around. 202 00:10:29,740 --> 00:10:32,540 Speaker 2: What's your interpretation of the curve right now? 203 00:10:32,660 --> 00:10:37,020 Speaker 5: Yeah, so actually, since these data came out, the 30-year 204 00:10:37,040 --> 00:10:39,579 Speaker 5: has actually rallied, right? So we've actually seen lower yields 205 00:10:39,640 --> 00:10:41,560 Speaker 5: than where we were before. 206 00:10:42,050 --> 00:10:42,690 Speaker 6: And I think it is. 207 00:10:42,750 --> 00:10:45,489 Speaker 5: People are focusing on that control group, number one. And 208 00:10:45,510 --> 00:10:49,290 Speaker 5: then number two, with PPI being so high that people 209 00:10:49,370 --> 00:10:51,660 Speaker 5: are maybe thinking that margins are going to compress, at 210 00:10:51,700 --> 00:10:55,250 Speaker 5: least at the high-level macro level here. 211 00:10:55,690 --> 00:10:58,130 Speaker 2: We'll have to see. Thank you for the way you 212 00:10:58,250 --> 00:11:02,110 Speaker 2: choose to listen to us. Good morning. 99.1 FM, Nathan 213 00:11:02,150 --> 00:11:06,720 Speaker 2: Hager Radio with that wonderful midterm seminar yesterday in Washington. 214 00:11:06,760 --> 00:11:10,599 Speaker 2: A huge success. 92.9 FM up in Boston. Good morning. 215 00:11:10,640 --> 00:11:14,380 Speaker 2: And of course, Bloomberg 1130 here. in New York. Particularly 216 00:11:14,400 --> 00:11:19,679 Speaker 2: good morning in continental Europe here. Where is euro off 217 00:11:20,200 --> 00:11:20,720 Speaker 2: of this? 218 00:11:20,720 --> 00:11:20,900 Speaker 8: 111.99. 219 00:11:20,900 --> 00:11:24,500 Speaker 2: Euro churning this morning is how I'd put it. Our 220 00:11:24,590 --> 00:11:27,270 Speaker 2: economic data to do that with IRA, Jersey, a privilege. 221 00:11:27,730 --> 00:11:31,890 Speaker 2: Our economic indicators brought to you by IBKR. For the 222 00:11:31,929 --> 00:11:37,709 Speaker 2: past three years, interactive brokers, individual clients averaged 24.3% annually, 223 00:11:38,309 --> 00:11:42,090 Speaker 2: beating the S & P 500, lower costs and access 224 00:11:42,610 --> 00:11:49,480 Speaker 2: to 170 plus global markets that matters. Visit ibkr.com slash performance. 225 00:11:49,820 --> 00:11:52,860 Speaker 2: As we begin today, really our midterm coverage, we begin 226 00:11:52,900 --> 00:11:58,440 Speaker 2: today our Q4 consumer dash. Dana Telsey is definitive at 227 00:11:58,480 --> 00:12:02,780 Speaker 2: Telsey Advisory Group. We're thrilled she's here. It's like a 228 00:12:02,860 --> 00:12:07,730 Speaker 2: hit record. It's like when something's magical in the movies. 229 00:12:08,770 --> 00:12:12,710 Speaker 2: There's a destroyed brand, a brand, a guy named Blasey 230 00:12:12,770 --> 00:12:16,550 Speaker 2: shows up and Chanel is like, I was going back 231 00:12:16,570 --> 00:12:19,490 Speaker 2: and forth with Debra Aiken in London. Have you ever 232 00:12:19,650 --> 00:12:23,180 Speaker 2: seen a recovery of a house like Chanel in the 233 00:12:23,220 --> 00:12:23,800 Speaker 2: last year? 234 00:12:24,380 --> 00:12:26,720 Speaker 9: It's been amazing, and thank you for having me here, Tom. 235 00:12:27,040 --> 00:12:29,900 Speaker 9: It's absolutely been amazing. And what's so interesting about it, 236 00:12:30,500 --> 00:12:33,770 Speaker 9: his impact on the clothing impacted every other part of 237 00:12:33,790 --> 00:12:36,589 Speaker 9: the company. I mean, even their makeup. You try to 238 00:12:36,630 --> 00:12:40,050 Speaker 9: get the Chanel Crush lipstick, it's sold out everywhere. So 239 00:12:40,110 --> 00:12:43,840 Speaker 9: Chanel is back in vogue, and it's something that Gucci 240 00:12:43,880 --> 00:12:46,600 Speaker 9: would only like to see, given that they haven't had 241 00:12:46,620 --> 00:12:47,339 Speaker 9: the star power. 242 00:12:47,440 --> 00:12:51,670 Speaker 2: How does Gucci, carrying a destroyed brand, how do they 243 00:12:51,750 --> 00:12:53,050 Speaker 2: find this guy, Blazy? 244 00:12:53,820 --> 00:12:55,940 Speaker 9: They need to find someone, too. And some of it's 245 00:12:56,000 --> 00:13:00,630 Speaker 9: just connecting with, frankly, their customer, but also the next 246 00:13:00,670 --> 00:13:03,210 Speaker 9: generation of customers and doing it globally. 247 00:13:03,530 --> 00:13:06,770 Speaker 2: One more fancy social. I got two more fancy social 248 00:13:07,309 --> 00:13:11,319 Speaker 2: luxury questions. Deborah A. can make it clear to me 249 00:13:11,380 --> 00:13:14,640 Speaker 2: that the magic is social. Getting out on YouTube, getting 250 00:13:14,720 --> 00:13:18,380 Speaker 2: out on Twitter, TikTok and all this stuff Alexis Christophers 251 00:13:18,740 --> 00:13:21,339 Speaker 2: looks at. That's the new messaging, isn't it? 252 00:13:21,440 --> 00:13:24,140 Speaker 9: It goes viral and it goes global. And it also 253 00:13:24,260 --> 00:13:28,490 Speaker 9: crosses generations. So the ability to have that appeal is 254 00:13:28,770 --> 00:13:31,689 Speaker 9: that is that's I have this theme of the letter A. 255 00:13:32,090 --> 00:13:37,890 Speaker 9: What are the topics of 2026? AI, affordability, activation, assortment 256 00:13:38,370 --> 00:13:38,950 Speaker 9: and agility. 257 00:13:38,970 --> 00:13:39,170 Speaker 8: Right. 258 00:13:39,510 --> 00:13:42,210 Speaker 9: Think about what activation is. That's what social does. 259 00:13:42,450 --> 00:13:44,960 Speaker 2: One more snobby question. Ira Jersey wants to talk about 260 00:13:45,000 --> 00:13:48,540 Speaker 2: Home Depot and Target. Dana Telsey, I look at this 261 00:13:48,920 --> 00:13:51,660 Speaker 2: and I see something that I still think is totally nuts. 262 00:13:52,100 --> 00:13:56,780 Speaker 2: Hermes in Brooklyn and Williamsburg. What does that signal to 263 00:13:56,840 --> 00:14:00,580 Speaker 2: you about the spirit here of high-end consumption? 264 00:14:01,179 --> 00:14:05,520 Speaker 9: Williamsburg is where high-end consumers are living, where high-end consumers 265 00:14:05,580 --> 00:14:09,090 Speaker 9: are going, and it's new neighborhoods that are being activated. 266 00:14:09,500 --> 00:14:09,970 Speaker 1: Look at the. 267 00:14:10,020 --> 00:14:13,710 Speaker 9: Rents overall, even in Williamsburg and Brooklyn compared to Manhattan. 268 00:14:13,850 --> 00:14:14,730 Speaker 9: It's not cheap. 269 00:14:15,050 --> 00:14:18,830 Speaker 2: Jonathan Miller with this Bloomberg Money with Scarlett Fu Friday. Alexis, 270 00:14:18,850 --> 00:14:20,910 Speaker 2: get in here a question. with Dana Telsey. 271 00:14:20,930 --> 00:14:22,550 Speaker 7: Well, I'm just trying to absorb what you just said. 272 00:14:22,650 --> 00:14:25,840 Speaker 7: I grew up in Williamsburg, Brooklyn in the 70s and 273 00:14:26,140 --> 00:14:27,740 Speaker 7: 80s when it was a very different place than it. 274 00:14:27,780 --> 00:14:29,540 Speaker 7: I mean, if we had a sushi restaurant come in, 275 00:14:29,570 --> 00:14:33,630 Speaker 7: that was like stop the presses, right? Why are people 276 00:14:33,670 --> 00:14:36,630 Speaker 7: continuing to spend despite this high inflation? I guess my 277 00:14:36,650 --> 00:14:38,390 Speaker 7: question is, where are they putting their money? Are they 278 00:14:38,430 --> 00:14:41,900 Speaker 7: buying the necessities? Is there discretionary money out there? Are 279 00:14:41,920 --> 00:14:43,140 Speaker 7: they going out and buying the fun stuff? 280 00:14:43,480 --> 00:14:47,460 Speaker 9: There's discretionary money out there for upper income. But even 281 00:14:47,500 --> 00:14:50,620 Speaker 9: when you're looking at lower and middle income consumers... They're 282 00:14:50,680 --> 00:14:54,430 Speaker 9: choosing what to spend on. So they'll choose the experience. 283 00:14:54,510 --> 00:14:58,330 Speaker 9: They'll choose what they see virally. But then what are 284 00:14:58,350 --> 00:15:00,670 Speaker 9: they going to buy? The other change in buying patterns 285 00:15:01,430 --> 00:15:06,940 Speaker 9: is about GLP-1s. GLP-1s are causing new apparel wardrobe changes, 286 00:15:07,280 --> 00:15:11,200 Speaker 9: new apparel wardrobe purchases. And they're not done because the 287 00:15:11,360 --> 00:15:14,880 Speaker 9: impact that it has... basically extends. So I think there's 288 00:15:14,940 --> 00:15:18,850 Speaker 9: different reasons for consumption, but higher interest rates is a 289 00:15:18,870 --> 00:15:19,690 Speaker 9: headwind to housing. 290 00:15:19,810 --> 00:15:23,470 Speaker 2: We got a surveillance GLP correspondent, Ira Jersey here with 291 00:15:23,510 --> 00:15:24,490 Speaker 2: Data Telsey. 292 00:15:24,730 --> 00:15:26,810 Speaker 5: So let's talk about the other end of the consumer, right? 293 00:15:26,830 --> 00:15:29,120 Speaker 5: So let's talk about the big box stores, or even 294 00:15:29,130 --> 00:15:32,080 Speaker 5: the home improvement stores, right? The Targets and the Walmarts 295 00:15:32,480 --> 00:15:35,100 Speaker 5: of the world too. How are they doing? I mean, 296 00:15:35,120 --> 00:15:37,260 Speaker 5: presumably some of them are picking up and. 297 00:15:37,400 --> 00:15:38,120 Speaker 6: Maybe others aren't. 298 00:15:38,550 --> 00:15:40,230 Speaker 9: You must have been at our conference last week. I 299 00:15:40,250 --> 00:15:43,290 Speaker 9: had my conference last week. And basically, whether it was Lowe's, 300 00:15:43,310 --> 00:15:45,980 Speaker 9: whether it was Target, Nike, they were all there. And 301 00:15:46,000 --> 00:15:47,920 Speaker 9: so what you're seeing out there on the big boxes, 302 00:15:48,340 --> 00:15:51,600 Speaker 9: look at Target this year. Target's up over 50%. The 303 00:15:51,660 --> 00:15:55,130 Speaker 9: newness in the assortment, the new collaborations. Look at Hollister 304 00:15:55,170 --> 00:15:58,070 Speaker 9: and Home that's in Target. Look at Warby Parker, Shop 305 00:15:58,090 --> 00:16:01,210 Speaker 9: and Shops and Target. There's newness there. There's that search 306 00:16:01,250 --> 00:16:03,989 Speaker 9: for value. You look at Walmart. The fastest part of 307 00:16:04,050 --> 00:16:07,580 Speaker 9: Walmart's growth is coming from household incomes that are at 308 00:16:07,600 --> 00:16:11,400 Speaker 9: their highest level for Walmart. Home Depot and Lowe's, they're 309 00:16:11,640 --> 00:16:14,820 Speaker 9: waiting for that spigot to get turned on for improved housing. 310 00:16:15,180 --> 00:16:18,480 Speaker 9: But they're both enhancing their business models in order that 311 00:16:18,520 --> 00:16:20,680 Speaker 9: when it does, there'll be an acceleration. 312 00:16:20,780 --> 00:16:21,800 Speaker 2: Go ahead, Harry. 313 00:16:21,840 --> 00:16:23,000 Speaker 5: Yeah, I just want to tell you in the retail 314 00:16:23,020 --> 00:16:25,130 Speaker 5: sales report, you see that Home Depot and the Home 315 00:16:25,170 --> 00:16:25,930 Speaker 5: Improvement did okay. 316 00:16:26,130 --> 00:16:26,310 Speaker 8: Yeah. 317 00:16:26,790 --> 00:16:28,170 Speaker 2: How do you do that? I don't even know how 318 00:16:28,190 --> 00:16:28,810 Speaker 2: to look that up. 319 00:16:29,050 --> 00:16:30,550 Speaker 6: Oh, it's in the Bloomberg Terminal. 320 00:16:30,570 --> 00:16:33,530 Speaker 2: There's lots of tables in there. I'm learning every day here. Oh, Lex, 321 00:16:33,570 --> 00:16:36,050 Speaker 2: there's another question with Dana Telsey here. 322 00:16:36,620 --> 00:16:39,160 Speaker 7: What are we not buying? Do you track that? 323 00:16:39,320 --> 00:16:39,520 Speaker 8: Yes. 324 00:16:39,820 --> 00:16:43,700 Speaker 9: So where the headwinds are lately, look at active footwear, 325 00:16:43,820 --> 00:16:47,340 Speaker 9: the athletic footwear. That category has been very tough. It's 326 00:16:47,400 --> 00:16:50,380 Speaker 9: been promotional, and you need the newness from Nike to 327 00:16:50,420 --> 00:16:52,370 Speaker 9: resuscitate the category at the same time. 328 00:16:52,390 --> 00:16:56,190 Speaker 2: Really? You need Nike... Hasn't the industry moved on from Nike? 329 00:16:56,230 --> 00:16:59,750 Speaker 9: Well, you know why? They've moved on because post-COVID, now 330 00:16:59,850 --> 00:17:02,530 Speaker 9: people are getting dressed up to go to events. They're 331 00:17:02,650 --> 00:17:05,459 Speaker 9: wearing bow ties to go to work. They're wearing brown 332 00:17:05,520 --> 00:17:06,220 Speaker 9: suede boots. 333 00:17:06,240 --> 00:17:09,040 Speaker 2: She can come back anytime. Here I am. Okay, here's 334 00:17:09,060 --> 00:17:12,740 Speaker 2: the reality. I am honored that Ralph Fitzgerald puts the 335 00:17:12,820 --> 00:17:15,419 Speaker 2: suit on me. I happen to see Ralph. yesterday. He's 336 00:17:15,460 --> 00:17:19,729 Speaker 2: on a huge role helping people with their suits and all. 337 00:17:19,770 --> 00:17:23,490 Speaker 2: And he was talking about the suit is back. Why 338 00:17:23,570 --> 00:17:25,210 Speaker 2: is the suit back, Dana Tulsi? 339 00:17:25,470 --> 00:17:28,369 Speaker 9: I think people want to look differentiated. I think people 340 00:17:28,410 --> 00:17:31,240 Speaker 9: want to be not formal, but they want to look 341 00:17:31,260 --> 00:17:33,820 Speaker 9: good again. They take pride in their appearance. And there's 342 00:17:33,880 --> 00:17:37,440 Speaker 9: more meetings. There's more events. There's more conferences that people 343 00:17:37,460 --> 00:17:40,479 Speaker 9: are going to. Watch what's on people's feet. Watch what 344 00:17:40,520 --> 00:17:42,970 Speaker 9: they're wearing. They may not wear ties, but they're wearing 345 00:17:43,010 --> 00:17:46,250 Speaker 9: a suit without a tie. They are wearing dresses again. 346 00:17:46,590 --> 00:17:50,430 Speaker 9: Dresses is huge. Bottoms are selling well. Denim is being 347 00:17:50,490 --> 00:17:53,580 Speaker 9: worn to work, to events, and on the weekends at 348 00:17:53,619 --> 00:17:54,200 Speaker 9: the same time. 349 00:17:54,240 --> 00:17:56,620 Speaker 2: What's the holiday season look like? First time I've asked 350 00:17:56,660 --> 00:17:57,260 Speaker 2: this question. 351 00:17:57,790 --> 00:17:59,690 Speaker 9: I think the holiday season is going to be okay. 352 00:17:59,790 --> 00:18:02,540 Speaker 9: And you know why? I think the advertising and the 353 00:18:02,640 --> 00:18:06,660 Speaker 9: activation is moving that holiday season. It's already gotten started 354 00:18:06,700 --> 00:18:09,560 Speaker 9: because Amazon Prime Day kicks it off. And you saw 355 00:18:09,600 --> 00:18:12,990 Speaker 9: the targets and everyone else do events surrounding that. So 356 00:18:13,310 --> 00:18:14,810 Speaker 9: I think it'll be a decent holiday season. 357 00:18:14,869 --> 00:18:17,770 Speaker 2: I think you're hedging it. I think it could be greater. 358 00:18:18,560 --> 00:18:21,850 Speaker 2: than what we expect because of nominal GDP. 359 00:18:22,130 --> 00:18:24,530 Speaker 9: Well, we're coming out with our holiday forecast next week, 360 00:18:24,590 --> 00:18:26,130 Speaker 9: so we'll tease it for next week. 361 00:18:26,270 --> 00:18:28,939 Speaker 2: Oh, come on. There's only 42 people listening. Go ahead. 362 00:18:29,020 --> 00:18:30,960 Speaker 9: Only a couple, but I think it'll be a decent 363 00:18:30,980 --> 00:18:31,600 Speaker 9: holiday season. 364 00:18:31,760 --> 00:18:34,320 Speaker 2: What is Louis Vuitton doing? I mean, they came out. 365 00:18:34,420 --> 00:18:37,220 Speaker 2: They were really soggy, to say the least. You know, 366 00:18:37,240 --> 00:18:39,260 Speaker 2: for those of you, it's Mr. Arnaud, and there's like 367 00:18:39,260 --> 00:18:43,420 Speaker 2: 42 children. They bought Tiffany's in that. I mean, they 368 00:18:43,440 --> 00:18:45,880 Speaker 2: should make a TV show about the succession, right? 369 00:18:46,160 --> 00:18:46,720 Speaker 1: They should. 370 00:18:47,040 --> 00:18:51,639 Speaker 9: And you saw the numbers that came out on Monday. Yep, Monday. Basically, 371 00:18:52,160 --> 00:18:55,240 Speaker 9: fashion and leather goods, which is 45% of the business, 372 00:18:55,260 --> 00:18:56,500 Speaker 9: was weaker than expected. 373 00:18:56,740 --> 00:18:57,100 Speaker 6: Why? 374 00:18:57,619 --> 00:18:57,979 Speaker 1: China. 375 00:18:58,720 --> 00:19:02,480 Speaker 9: Chinese consumer demand was weaker. It was down mid-teens. That 376 00:19:02,530 --> 00:19:05,690 Speaker 9: was the headwind. At the same time... Sephora is still 377 00:19:05,730 --> 00:19:07,909 Speaker 9: growing and growing very successfully. 378 00:19:07,990 --> 00:19:08,250 Speaker 2: Yeah. 379 00:19:08,570 --> 00:19:13,010 Speaker 9: And that's doing well. Watches and jewelry, also jewelry doing well. 380 00:19:13,050 --> 00:19:15,550 Speaker 9: And jewelry has been doing well in all categories lately. 381 00:19:16,030 --> 00:19:18,300 Speaker 9: But the fashion and leather goods part of the business, 382 00:19:18,720 --> 00:19:20,560 Speaker 9: you see how important the Chinese consumer is. 383 00:19:20,560 --> 00:19:25,199 Speaker 2: The youngest daughter has the daily Sephora. She's figured out 384 00:19:25,240 --> 00:19:28,930 Speaker 2: that instead of going once and killing me, She goes daily. 385 00:19:29,290 --> 00:19:31,570 Speaker 2: Did you know this, Ira? It's a daily Sephora. 386 00:19:32,090 --> 00:19:32,770 Speaker 6: I did not know that. 387 00:19:32,790 --> 00:19:34,520 Speaker 2: You go daily, and then it's less pain. 388 00:19:34,540 --> 00:19:36,040 Speaker 9: It's death by a thousand cuts. 389 00:19:36,280 --> 00:19:38,560 Speaker 2: Come back next week with your new report. Eric, did 390 00:19:38,580 --> 00:19:40,720 Speaker 2: you see that? She's like selling her new report a 391 00:19:40,760 --> 00:19:43,810 Speaker 2: week out to come back. It's a shrewd move by 392 00:19:43,830 --> 00:19:46,930 Speaker 2: Dana Telsey. Thank you so much. And thank you, Joe Feldman, 393 00:19:46,970 --> 00:19:51,640 Speaker 2: for the big box analysis, Telsey advisor. Group. Ross Mayfield 394 00:19:51,680 --> 00:19:54,550 Speaker 2: with us right now. with Baird. Thrilled he could join 395 00:19:54,609 --> 00:19:56,770 Speaker 2: us this morning. I got a couple charts up as 396 00:19:56,810 --> 00:19:59,470 Speaker 2: an amateur. And I know you got 42 charts up 397 00:19:59,609 --> 00:20:02,930 Speaker 2: and Ira Jersey has 78 charts up. Sweeney even has 398 00:20:02,990 --> 00:20:06,109 Speaker 2: more charts up than me. And I'm looking at core 399 00:20:06,130 --> 00:20:09,230 Speaker 2: weave debt just made down to new lows. Can't find 400 00:20:09,270 --> 00:20:12,750 Speaker 2: a bid. I got a NASDAQ on economics when Alexis 401 00:20:12,790 --> 00:20:15,190 Speaker 2: did it. Came down to new lows. It's recovered a 402 00:20:15,230 --> 00:20:19,230 Speaker 2: little bit, but it's soggy. What do you as a strategist, 403 00:20:19,280 --> 00:20:24,950 Speaker 2: an arching strategist, how do you synthesize the immediate today 404 00:20:24,970 --> 00:20:26,290 Speaker 2: AI angst? 405 00:20:27,050 --> 00:20:29,790 Speaker 10: I think you say, all right, it's clear that yields 406 00:20:29,830 --> 00:20:32,490 Speaker 10: are higher for longer. This inflation data, there's nothing good 407 00:20:32,510 --> 00:20:35,450 Speaker 10: to find in it. You've got a Fed that's clearly 408 00:20:35,490 --> 00:20:38,969 Speaker 10: back hiking, bonds at the long end going higher. And 409 00:20:39,030 --> 00:20:40,930 Speaker 10: so it means investors have to be more discerning. So 410 00:20:40,970 --> 00:20:42,630 Speaker 10: a core weave, which is kind of on the higher 411 00:20:42,670 --> 00:20:45,669 Speaker 10: risk spectrum of the AI trade, gets hit. And I 412 00:20:45,710 --> 00:20:48,840 Speaker 10: think quality and this rising tide that lifts all boats 413 00:20:48,880 --> 00:20:51,230 Speaker 10: in AI, I think that's a story kind of of 414 00:20:51,260 --> 00:20:52,679 Speaker 10: the past. So it doesn't mean- Do you see. 415 00:20:52,560 --> 00:20:55,680 Speaker 2: That in the tech earnings in two weeks that they 416 00:20:55,700 --> 00:20:59,609 Speaker 2: will generate free cash flow growth to calm everybody down. 417 00:21:00,310 --> 00:21:02,030 Speaker 10: I think the big ones will. And I think the 418 00:21:02,050 --> 00:21:03,840 Speaker 10: big ones will continue to catch a bid. The mag 419 00:21:03,859 --> 00:21:07,400 Speaker 10: seven has looked fine while the semis and the Cosby 420 00:21:07,420 --> 00:21:11,159 Speaker 10: have sold off. So I think it's just you focus 421 00:21:11,200 --> 00:21:14,080 Speaker 10: on quality and there's quality in tech. Valuations are not 422 00:21:14,260 --> 00:21:17,130 Speaker 10: super stretched because those earnings have been so strong, but 423 00:21:17,410 --> 00:21:19,090 Speaker 10: it's going to take a more discerning investor than we've 424 00:21:19,109 --> 00:21:20,210 Speaker 10: seen for most of this bull market. 425 00:21:20,740 --> 00:21:24,730 Speaker 5: So think about the downstream of this AI investment boom, right? 426 00:21:24,780 --> 00:21:27,359 Speaker 5: So there's obviously going to be some firms that win 427 00:21:27,400 --> 00:21:31,210 Speaker 5: that may be aren't really on the radar of the 428 00:21:31,250 --> 00:21:33,530 Speaker 5: general public. Are there any names like that that you 429 00:21:33,570 --> 00:21:36,210 Speaker 5: guys are looking at? Or are you just sticking with 430 00:21:36,570 --> 00:21:39,360 Speaker 5: the top line, those firms making the investments? 431 00:21:39,650 --> 00:21:40,159 Speaker 2: Well, no. 432 00:21:40,200 --> 00:21:42,420 Speaker 10: I think the picks and shovel names, to your point, 433 00:21:42,440 --> 00:21:46,500 Speaker 10: the companies providing cooling or storage or a lot of 434 00:21:46,520 --> 00:21:48,220 Speaker 10: the things that you need to build a data center. 435 00:21:49,320 --> 00:21:51,199 Speaker 10: I think at this point in the cycle, too, you 436 00:21:51,240 --> 00:21:54,310 Speaker 10: can start to think about, especially with Muse being so popular, 437 00:21:54,369 --> 00:21:56,669 Speaker 10: who are the Who are the winners that get to 438 00:21:56,950 --> 00:21:59,870 Speaker 10: use AI and boost productivity without being levered to the 439 00:22:00,910 --> 00:22:03,889 Speaker 10: trillion dollars in spending? So we look at something like 440 00:22:03,930 --> 00:22:06,730 Speaker 10: health care. I think financials are a place that could benefit. 441 00:22:06,790 --> 00:22:09,080 Speaker 10: So I think there's still a lot of ways to 442 00:22:09,119 --> 00:22:11,820 Speaker 10: play this. But in this rate environment, you want to 443 00:22:11,859 --> 00:22:14,700 Speaker 10: focus on quality, strong balance sheets, not too much debt. 444 00:22:15,380 --> 00:22:18,300 Speaker 10: And I think, you know, winners and losers get separated 445 00:22:18,320 --> 00:22:18,619 Speaker 10: a little more. 446 00:22:20,080 --> 00:22:24,409 Speaker 5: So in these winners and losers, you mentioned some sectors 447 00:22:24,430 --> 00:22:27,490 Speaker 5: like financials. And when I think about financials and I 448 00:22:27,510 --> 00:22:30,889 Speaker 5: think about the Fed potentially hiking interest rates another 50 449 00:22:30,890 --> 00:22:34,260 Speaker 5: to 100 basis points, depending on your view and obviously 450 00:22:34,280 --> 00:22:36,450 Speaker 5: what the market's pricing, that tends not to be good 451 00:22:36,470 --> 00:22:37,090 Speaker 5: for financials. 452 00:22:37,250 --> 00:22:38,270 Speaker 6: So why financials here? 453 00:22:38,670 --> 00:22:41,050 Speaker 10: I think they're, well, just from a price perspective, they're 454 00:22:41,210 --> 00:22:44,429 Speaker 10: a bit oversold, but they've had a nice year. The 455 00:22:44,450 --> 00:22:47,060 Speaker 10: consumer remains strong. If you listen to Wells Fargo or 456 00:22:47,080 --> 00:22:49,080 Speaker 10: some of the other banks talking about it, the consumer 457 00:22:49,100 --> 00:22:51,460 Speaker 10: piece of the business is solid. The wealth management piece 458 00:22:51,480 --> 00:22:54,100 Speaker 10: of the business is solid. There's still pretty strong capital 459 00:22:54,119 --> 00:22:57,359 Speaker 10: markets activity. And again, I think if you look at 460 00:22:57,400 --> 00:23:00,879 Speaker 10: the kinds of companies that should benefit, if AI is 461 00:23:01,040 --> 00:23:05,280 Speaker 10: what we've been promised, the productivity enhancer, financials stand to benefit. 462 00:23:05,320 --> 00:23:08,919 Speaker 10: I think there's a lot of fraud and waste that 463 00:23:08,940 --> 00:23:11,760 Speaker 10: can be rooted out with strong productivity from AI. So 464 00:23:12,119 --> 00:23:14,240 Speaker 10: we like the financials here. I also think for the 465 00:23:14,300 --> 00:23:17,480 Speaker 10: average investor, it's a nice hedge to being super overweight 466 00:23:17,500 --> 00:23:21,020 Speaker 10: tech if you just have an ETF. So we continue 467 00:23:21,040 --> 00:23:22,239 Speaker 10: to like it. Deregulation as well. 468 00:23:22,359 --> 00:23:25,869 Speaker 2: Russ Mayfield, one of the investment strategists, Baird Private Wealth. 469 00:23:26,070 --> 00:23:30,550 Speaker 2: We had in the Baird crew yesterday on technology and 470 00:23:31,150 --> 00:23:33,710 Speaker 2: on the bank's is, well, what is the mood of 471 00:23:33,750 --> 00:23:36,810 Speaker 2: your security analysts about this earnings season? What are they 472 00:23:36,830 --> 00:23:38,899 Speaker 2: going to see? You know, they're on the conference calls. 473 00:23:38,940 --> 00:23:40,899 Speaker 2: What's the view forward as a general tone? 474 00:23:41,450 --> 00:23:44,020 Speaker 10: I think the view on earnings still remains really positive. 475 00:23:44,040 --> 00:23:47,640 Speaker 10: For all the other headwinds out there, the earnings are 476 00:23:48,260 --> 00:23:51,040 Speaker 10: the great lifter of this market and puts a floor 477 00:23:51,080 --> 00:23:53,680 Speaker 10: under it. So the optimism around earnings is still there. 478 00:23:53,700 --> 00:23:56,420 Speaker 10: I think the question is, what happens when you get 479 00:23:56,460 --> 00:24:00,619 Speaker 10: to 2027 and you circle the base rates and the 480 00:24:00,680 --> 00:24:02,879 Speaker 10: earnings growth slows to 10%, 15% rather than 30 plus percent? 481 00:24:04,880 --> 00:24:08,290 Speaker 10: So that's kind of the... The optimism is there for 482 00:24:08,310 --> 00:24:09,630 Speaker 10: Q3 for the rest of the year. 483 00:24:09,730 --> 00:24:10,530 Speaker 6: Right. 484 00:24:10,990 --> 00:24:13,320 Speaker 10: But looking out to 2027, can it continue, right? 485 00:24:13,880 --> 00:24:16,439 Speaker 2: That's the heart of the matter. Ira Jersey with Ross Mayfield. 486 00:24:17,020 --> 00:24:17,520 Speaker 8: Yeah, so. 487 00:24:18,770 --> 00:24:22,830 Speaker 5: I'm harping on this financials theme and the bank. So 488 00:24:22,850 --> 00:24:26,710 Speaker 5: you mentioned some things like capital markets. We've seen obviously 489 00:24:27,330 --> 00:24:32,030 Speaker 5: significant debt capital market activity with the AI spend and 490 00:24:32,050 --> 00:24:35,409 Speaker 5: the like. That can't last forever though, right? So how 491 00:24:35,450 --> 00:24:39,390 Speaker 5: do we think about maybe the profit mix for some 492 00:24:39,430 --> 00:24:43,780 Speaker 5: of these financial institutions, particularly those that are reliant on 493 00:24:43,840 --> 00:24:44,969 Speaker 5: their capital markets businesses? 494 00:24:45,670 --> 00:24:48,409 Speaker 10: Well, I think for one thing, the tail end for 495 00:24:48,430 --> 00:24:50,930 Speaker 10: the capital markets business is still there. When we think 496 00:24:50,970 --> 00:24:54,159 Speaker 10: about comparing today to the late 90s where there was 497 00:24:54,160 --> 00:24:56,740 Speaker 10: 50 IPOs a day, I mean, this is not a 498 00:24:56,800 --> 00:25:00,700 Speaker 10: robust capital markets, IPO, M & A environment. 499 00:25:01,080 --> 00:25:01,760 Speaker 2: It's recovering. 500 00:25:01,840 --> 00:25:02,460 Speaker 10: It's a little better. 501 00:25:02,800 --> 00:25:03,220 Speaker 2: Thank you. 502 00:25:03,400 --> 00:25:06,220 Speaker 10: And certainly rates are a headwind. 503 00:25:06,900 --> 00:25:10,169 Speaker 2: I was in the absolute heart of that. Ross is 504 00:25:10,210 --> 00:25:13,929 Speaker 2: too young, Ira, to understand how correct he is. People 505 00:25:13,990 --> 00:25:18,830 Speaker 2: here have no idea what the frenzy was like, 98, 506 00:25:18,830 --> 00:25:22,629 Speaker 2: coming out of August 98, and the resurgence of equity. Remember, 507 00:25:23,150 --> 00:25:26,600 Speaker 2: in 98, Ira, nobody thought equities would move forward, and 508 00:25:26,640 --> 00:25:27,780 Speaker 2: they boomed. 509 00:25:27,920 --> 00:25:28,020 Speaker 8: Yep. 510 00:25:29,270 --> 00:25:31,430 Speaker 2: The IPO issuance was insane. 511 00:25:31,450 --> 00:25:33,229 Speaker 5: You had a ton of IPOs, and at the same time, 512 00:25:33,250 --> 00:25:35,170 Speaker 5: you had a lot of debt being issued as well, right? 513 00:25:35,190 --> 00:25:39,220 Speaker 5: So you had things like the tech and TMT bubble, right? 514 00:25:39,240 --> 00:25:42,280 Speaker 5: So you had Deutsche Telekom coming out with a $ 32 515 00:25:41,840 --> 00:25:46,980 Speaker 5: billion deal, which was not dissimilar to the AI trade today. 516 00:25:47,140 --> 00:25:51,189 Speaker 2: I agree, but the distinction here this morning with the 517 00:25:51,250 --> 00:25:54,470 Speaker 2: Corweave piece just moments ago making a new low, this 518 00:25:54,550 --> 00:26:00,899 Speaker 2: is the 15.4% yielding. I can't believe I'm saying it, 519 00:26:00,900 --> 00:26:04,180 Speaker 2: 15 point. In two years, I can make 30% with CoreWeave. 520 00:26:04,600 --> 00:26:07,659 Speaker 2: It's great. Ross, I'm looking at this and still, as 521 00:26:07,700 --> 00:26:11,460 Speaker 2: you mentioned, in the earnings season, it's a reaffirmation of 522 00:26:11,500 --> 00:26:13,960 Speaker 2: the profitability. That's really what we're talking about. 523 00:26:14,240 --> 00:26:16,460 Speaker 10: That's the story, right? And I do think to your 524 00:26:16,500 --> 00:26:19,359 Speaker 10: point about CoreWeave and some of the companies underneath the 525 00:26:19,400 --> 00:26:21,800 Speaker 10: hood that are taking it on the chin. The other 526 00:26:21,840 --> 00:26:23,790 Speaker 10: comparison to the late 90s, and you tell me if 527 00:26:23,850 --> 00:26:25,690 Speaker 10: I'm right or wrong, there doesn't seem to be a 528 00:26:25,750 --> 00:26:28,989 Speaker 10: complacency about this market yet. There is a real kind 529 00:26:29,010 --> 00:26:32,230 Speaker 10: of discerning nature to picking winners and losers rather than 530 00:26:32,270 --> 00:26:35,530 Speaker 10: just ignore all the macro, bid up everything related to AI. 531 00:26:35,930 --> 00:26:38,830 Speaker 10: Anybody knew the market we bid up. So, you know, 532 00:26:38,869 --> 00:26:40,889 Speaker 10: it's not that sentiment is in the dumps, although for 533 00:26:40,910 --> 00:26:43,820 Speaker 10: the consumers it is, but there's not a complacency that 534 00:26:43,900 --> 00:26:45,000 Speaker 10: gets you super worried yet. 535 00:26:45,100 --> 00:26:47,760 Speaker 2: Okay, Ross, thank you so much. Ross Mayfield with Baird 536 00:26:47,800 --> 00:26:53,340 Speaker 2: this morning. Stay with us. More from Bloomberg Surveillance coming 537 00:26:53,440 --> 00:26:54,400 Speaker 2: up after this. 538 00:27:01,660 --> 00:27:05,260 Speaker 4: You're listening to the Bloomberg Surveillance Podcast. Catch us live 539 00:27:05,340 --> 00:27:07,420 Speaker 4: weekday afternoons from 7 to 10 a.m. 540 00:27:07,460 --> 00:27:07,870 Speaker 1: Eastern. 541 00:27:07,970 --> 00:27:11,270 Speaker 4: Listen on Apple CarPlay and Android Auto with the Bloomberg 542 00:27:11,290 --> 00:27:13,790 Speaker 4: Business app or watch us live on YouTube. 543 00:27:14,150 --> 00:27:18,030 Speaker 2: Joining us, Whaley of BlackRock, absolutely definitive of taking her 544 00:27:18,050 --> 00:27:22,030 Speaker 2: acclaimed mathematics into the market. What's the single distinction of 545 00:27:22,670 --> 00:27:27,060 Speaker 2: first-second derivative dynamics now that you see in the markets? 546 00:27:28,119 --> 00:27:33,619 Speaker 8: Well, what's happening in markets right now is significant repricing 547 00:27:33,750 --> 00:27:37,050 Speaker 8: relative between bonds and equities. 548 00:27:37,070 --> 00:27:39,170 Speaker 2: Is it abrupt or is it controlled? 549 00:27:39,210 --> 00:27:41,590 Speaker 8: You tell me if it has been abrupt so far 550 00:27:42,010 --> 00:27:42,550 Speaker 8: this week. 551 00:27:42,670 --> 00:27:45,430 Speaker 9: It's been pretty dramatic. Okay, okay. 552 00:27:45,730 --> 00:27:51,619 Speaker 8: So on Monday, we put out a note essentially upgrading treasuries, 553 00:27:51,900 --> 00:27:57,260 Speaker 8: front-end and back-end. and downgrading U.S. equities to manage risk 554 00:27:57,619 --> 00:28:01,780 Speaker 8: and just thinking about the potential focus on AI policy 555 00:28:01,940 --> 00:28:05,580 Speaker 8: and AI build-out. And subsequently, we have seen what's happening 556 00:28:05,600 --> 00:28:10,490 Speaker 8: in market pretty dramatic, really. But ultimately, the big picture 557 00:28:10,630 --> 00:28:16,169 Speaker 8: is that after years of yield repricing in the U.S. 558 00:28:16,210 --> 00:28:19,930 Speaker 8: Treasury market. We think bonds back. We first went underweight 559 00:28:19,990 --> 00:28:23,170 Speaker 8: long duration treasuries. It was more than six years ago 560 00:28:23,230 --> 00:28:26,640 Speaker 8: when U.S. 10-year was below 90 basis points. And now 561 00:28:27,160 --> 00:28:27,820 Speaker 8: look at where we are. 562 00:28:27,920 --> 00:28:30,760 Speaker 6: Yeah, it was hard to like yields five, six years ago, right? 563 00:28:31,220 --> 00:28:33,840 Speaker 8: Yeah, there was so little room for it to come down. 564 00:28:33,859 --> 00:28:34,240 Speaker 3: Yeah, exactly. 565 00:28:34,580 --> 00:28:36,720 Speaker 5: And now, so I know that one of your focuses 566 00:28:36,740 --> 00:28:38,650 Speaker 5: is on the front end of the curve. And when 567 00:28:38,670 --> 00:28:42,010 Speaker 5: I look at the two-year and two-year break-even, right, we'd 568 00:28:42,050 --> 00:28:44,230 Speaker 5: have to double the yield. 569 00:28:43,930 --> 00:28:46,150 Speaker 6: In a year's time for you to lose money buying 570 00:28:46,190 --> 00:28:46,850 Speaker 6: a two-year note, right? 571 00:28:46,870 --> 00:28:48,070 Speaker 9: That is exactly how we think about it. 572 00:28:48,110 --> 00:28:50,630 Speaker 5: Yeah, so when I look at the Bloomberg function here, 573 00:28:51,120 --> 00:28:58,980 Speaker 5: CT2 government FAHZ, the fixed income hedge horizon, analysis is 574 00:28:59,080 --> 00:29:02,260 Speaker 5: key on this. But talk about then the duration side 575 00:29:02,300 --> 00:29:04,740 Speaker 5: of things, right? So you like long duration now too. 576 00:29:04,780 --> 00:29:06,800 Speaker 5: There's a lot less wiggle room for error there. 577 00:29:07,440 --> 00:29:07,780 Speaker 2: Yeah. 578 00:29:07,820 --> 00:29:12,040 Speaker 8: So we're actually neutral long duration having closed our long 579 00:29:12,100 --> 00:29:16,370 Speaker 8: held underweight, but we pushed the front end to overweight. 580 00:29:16,450 --> 00:29:19,010 Speaker 8: So if you bring the two together, we still prefer 581 00:29:19,030 --> 00:29:19,750 Speaker 8: the front end over. 582 00:29:19,690 --> 00:29:20,120 Speaker 6: The long end. 583 00:29:20,130 --> 00:29:22,050 Speaker 5: So that would be then bull steepening of the yield 584 00:29:22,090 --> 00:29:23,510 Speaker 5: curve is what your expectation is. 585 00:29:24,110 --> 00:29:24,870 Speaker 9: So that's one. 586 00:29:24,790 --> 00:29:27,510 Speaker 8: Way to look at it. But ultimately, actually, the duration 587 00:29:27,590 --> 00:29:30,580 Speaker 8: move trumps curve move, as we have seen so far 588 00:29:30,620 --> 00:29:33,300 Speaker 8: this year, both on the way up, yields pushing higher 589 00:29:33,380 --> 00:29:37,050 Speaker 8: and also on the way down. So ultimately, this is 590 00:29:37,170 --> 00:29:41,260 Speaker 8: an expectation for yields to to to. to give you 591 00:29:41,280 --> 00:29:42,500 Speaker 8: very good income. 592 00:29:42,520 --> 00:29:46,600 Speaker 2: This is absolute gold, folks. Weili in Ira, Jersey, with 593 00:29:46,640 --> 00:29:49,800 Speaker 2: the most jargon I've heard in six months. This is 594 00:29:49,840 --> 00:29:53,150 Speaker 2: a family radio station. There's kids listening on their way 595 00:29:53,530 --> 00:29:56,330 Speaker 2: to school. Weili, I want you to translate this back 596 00:29:56,350 --> 00:30:00,880 Speaker 2: to people going, hey, yields are up. I should jump in, 597 00:30:01,470 --> 00:30:03,980 Speaker 2: but I'm worried that they go upper. When you look 598 00:30:04,000 --> 00:30:06,959 Speaker 2: at the economic mix, do you worry about a 5.3% 599 00:30:06,960 --> 00:30:08,700 Speaker 2: yield becoming price down, yield up a 5.5% yield? 600 00:30:14,380 --> 00:30:15,510 Speaker 9: Well, if the U.S. 601 00:30:15,530 --> 00:30:20,890 Speaker 8: 10-year go from 5.3, but actually now it's close to 602 00:30:20,890 --> 00:30:25,190 Speaker 8: 5.1 to 5.5, actually the total return on the year 603 00:30:25,370 --> 00:30:27,710 Speaker 8: is still going to be positive. 604 00:30:27,730 --> 00:30:29,070 Speaker 11: You are still up 2%, 3% on the year. 605 00:30:31,560 --> 00:30:34,360 Speaker 8: So the bigger picture is that so far this year, 606 00:30:34,500 --> 00:30:39,800 Speaker 8: in particular, competition for capital intensified, and that pushed up 607 00:30:39,920 --> 00:30:40,719 Speaker 8: real rates. 608 00:30:41,780 --> 00:30:45,090 Speaker 2: Are you in speaking terms with Rosenberg and Kosterich at BlackRock? 609 00:30:45,180 --> 00:30:45,660 Speaker 8: Of course. 610 00:30:45,770 --> 00:30:48,950 Speaker 2: Okay, when you three sit there, what do you think 611 00:30:48,990 --> 00:30:52,890 Speaker 2: of a 60-40 portfolio? It's like back in vogue, right? 612 00:30:53,750 --> 00:30:57,630 Speaker 8: Well, 60-40 doesn't necessarily include private markets, so we have 613 00:30:57,650 --> 00:31:01,590 Speaker 8: to increasingly consider the role private markets play in portfolios. 614 00:31:01,670 --> 00:31:02,930 Speaker 9: But what we. 615 00:31:02,870 --> 00:31:05,989 Speaker 8: Have seen so far is that because bonds are back, 616 00:31:06,100 --> 00:31:12,120 Speaker 8: having greater allocation to income-generating assets, even though its diversification-balanced 617 00:31:12,340 --> 00:31:17,040 Speaker 8: properties have decreased, having more bonds makes sense, as evidenced 618 00:31:17,380 --> 00:31:19,800 Speaker 8: in our asset allocation views this week. 619 00:31:20,240 --> 00:31:21,960 Speaker 5: You know, I've been on the show for 30 minutes 620 00:31:22,000 --> 00:31:24,620 Speaker 5: and we have not mentioned the Federal Reserve yet, which is, 621 00:31:24,940 --> 00:31:25,810 Speaker 5: I think, pretty interesting. 622 00:31:26,220 --> 00:31:27,650 Speaker 6: You're waiting for me. 623 00:31:28,810 --> 00:31:30,410 Speaker 2: Exactly. So what are. 624 00:31:30,350 --> 00:31:34,310 Speaker 5: Your thoughts there at BlackRock concerning the Fed? Where will 625 00:31:34,350 --> 00:31:36,730 Speaker 5: we be going? And, you know, are you worried about 626 00:31:36,770 --> 00:31:39,370 Speaker 5: any of these major changes in communications policy and the like? 627 00:31:40,130 --> 00:31:42,990 Speaker 8: Oh, wow. You know, I focus on the bigger macro 628 00:31:43,070 --> 00:31:47,060 Speaker 8: picture and markets are currently pricing, I think, more than 629 00:31:47,140 --> 00:31:51,670 Speaker 8: three hikes for until the end of next year. If 630 00:31:51,690 --> 00:31:55,370 Speaker 8: you look at CPI prints yesterday, it was quite hot 631 00:31:55,610 --> 00:31:58,800 Speaker 8: across the board, broad-based, and that kind of added to 632 00:31:58,820 --> 00:32:02,090 Speaker 8: the hiking case. But the reality is also that, you know, 633 00:32:02,110 --> 00:32:05,430 Speaker 8: look at the labor market. It gave them some kind 634 00:32:05,450 --> 00:32:07,850 Speaker 8: of room to wait as well. The bigger picture is that, 635 00:32:08,230 --> 00:32:12,590 Speaker 8: you know, like people interpret the September hike as the 636 00:32:12,630 --> 00:32:16,290 Speaker 8: beginning of a sustained series of hikes. But ultimately, that 637 00:32:16,430 --> 00:32:20,600 Speaker 8: also was down to preserve credibility. And that was important. 638 00:32:20,660 --> 00:32:23,280 Speaker 8: So we don't think that in itself necessarily is the 639 00:32:23,300 --> 00:32:25,340 Speaker 8: beginning of like a sustained hike. 640 00:32:25,560 --> 00:32:27,980 Speaker 2: In the time that we have left, the IMF in 641 00:32:28,000 --> 00:32:30,920 Speaker 2: Bangkok and Chairman Warr speaking tomorrow, I believe it is, 642 00:32:31,020 --> 00:32:33,980 Speaker 2: or with a 12-hour time zone, I can't remember where 643 00:32:34,020 --> 00:32:36,440 Speaker 2: it is. I have to ask you, Wei Li, about 644 00:32:36,510 --> 00:32:41,470 Speaker 2: your China. I am distressed by the general essays I 645 00:32:41,510 --> 00:32:46,410 Speaker 2: get of a lethargy in China. The kids can't get jobs. 646 00:32:46,570 --> 00:32:49,610 Speaker 2: I mean, forget about the politics of it, but do 647 00:32:49,650 --> 00:32:54,850 Speaker 2: you see a dampening... of nominal GDP and a dampening 648 00:32:54,890 --> 00:32:59,840 Speaker 2: of mood across China, where they're boxed into a societal 649 00:32:59,900 --> 00:33:00,880 Speaker 2: lethargy right now? 650 00:33:01,560 --> 00:33:03,940 Speaker 8: Well, there are really two Chinas. There is the part 651 00:33:03,960 --> 00:33:08,979 Speaker 8: of China that is doing well because of AI and. 652 00:33:09,060 --> 00:33:10,120 Speaker 10: The exports. 653 00:33:10,140 --> 00:33:12,610 Speaker 8: The exports that is really flying. And then there are 654 00:33:12,670 --> 00:33:16,070 Speaker 8: structurally challenged part of China. You talked about the low 655 00:33:17,750 --> 00:33:23,970 Speaker 8: employment of youth, but then more broadly, the property situation 656 00:33:24,050 --> 00:33:26,620 Speaker 8: is still kind of playing out, right? The overhang is 657 00:33:26,650 --> 00:33:29,100 Speaker 8: still playing out. And then on top of kind of the... 658 00:33:29,340 --> 00:33:32,860 Speaker 8: employment picture, aging population is plaguing China too, which is 659 00:33:32,900 --> 00:33:35,900 Speaker 8: why when it comes to China, we are quite selective. 660 00:33:35,960 --> 00:33:38,480 Speaker 8: We're neutral, but we prefer the part of the market 661 00:33:38,520 --> 00:33:41,700 Speaker 8: that is actually driving growth right now. And there is 662 00:33:41,740 --> 00:33:44,870 Speaker 8: the bigger picture, which is also in terms of translating 663 00:33:45,550 --> 00:33:50,970 Speaker 8: the market share into profitability. It's less straightforward in China, 664 00:33:51,010 --> 00:33:52,770 Speaker 8: so it requires an active approach. 665 00:33:52,810 --> 00:33:55,370 Speaker 2: Wei Li, thank you so much. Well, BlackRock, can't say 666 00:33:55,390 --> 00:33:58,170 Speaker 2: enough about our impact on LinkedIn, folks. One of the 667 00:33:58,190 --> 00:34:01,170 Speaker 2: reasons just to go to LinkedIn is to follow Wei 668 00:34:01,190 --> 00:34:07,080 Speaker 2: Li at BlackRock where she is a global chief investment 669 00:34:07,100 --> 00:34:09,810 Speaker 2: strategist as well. Thank you so much for being with us. 670 00:34:11,660 --> 00:34:15,810 Speaker 2: Stay with us. More from Bloomberg Surveillance coming up after this. 671 00:34:23,060 --> 00:34:26,660 Speaker 4: You're listening to the Bloomberg Surveillance Podcast. Catch us live 672 00:34:26,739 --> 00:34:28,799 Speaker 4: weekday afternoons from 7 to 10 a.m. 673 00:34:28,860 --> 00:34:29,260 Speaker 1: Eastern. 674 00:34:29,360 --> 00:34:32,670 Speaker 4: Listen on Apple CarPlay and Android Auto with the Bloomberg 675 00:34:32,690 --> 00:34:33,290 Speaker 4: Business app. 676 00:34:33,489 --> 00:34:35,190 Speaker 1: Or watch us live on YouTube. 677 00:34:35,570 --> 00:34:38,230 Speaker 2: For Ira Jersey, we had to bring someone that looks 678 00:34:38,250 --> 00:34:40,589 Speaker 2: at the short-term paper like Ira does. That would be 679 00:34:40,630 --> 00:34:45,530 Speaker 2: Winnie Caesar. Global head of strategy at Credit Suisse. I'm 680 00:34:45,550 --> 00:34:48,730 Speaker 2: thrilled she's in the studio today. Is there still trust 681 00:34:48,870 --> 00:34:51,020 Speaker 2: in the bond market? When you look at the plumbing 682 00:34:51,440 --> 00:34:55,480 Speaker 2: of the market, is there still an integrity to short-term paper? 683 00:34:55,790 --> 00:34:58,530 Speaker 12: I think that there's definitely still an integrity to short-term paper, 684 00:34:58,590 --> 00:35:01,839 Speaker 12: but we've noticed that the sensitivity to things that were 685 00:35:01,880 --> 00:35:05,980 Speaker 12: maybe second-tier economic data or a little bit less of 686 00:35:06,040 --> 00:35:08,970 Speaker 12: a market mover in the past tend to have amplified 687 00:35:09,110 --> 00:35:13,969 Speaker 12: effects more recently. And of course, recent Fed speak is 688 00:35:14,030 --> 00:35:17,010 Speaker 12: kind of ratcheting up some of the sensitivity to short-term 689 00:35:17,030 --> 00:35:17,689 Speaker 12: paper as well. 690 00:35:19,400 --> 00:35:22,489 Speaker 5: So we have to talk, since you're with credit sites, 691 00:35:22,530 --> 00:35:23,890 Speaker 5: we have to talk a little bit about credit. 692 00:35:23,969 --> 00:35:26,210 Speaker 6: So obviously we've had a lot of corporate. 693 00:35:25,910 --> 00:35:29,290 Speaker 5: Issuance, and we were just talking this morning before you 694 00:35:29,310 --> 00:35:32,810 Speaker 5: came in studio about something like CoreWeave's bonds being at 695 00:35:32,810 --> 00:35:36,910 Speaker 5: 1,200 basis points now in terms of option-adjusted spread. Talk 696 00:35:36,950 --> 00:35:41,049 Speaker 5: about your view, personal or via credit sites, of the 697 00:35:41,200 --> 00:35:45,660 Speaker 5: credit market now, and specifically these hyperscaler AI-related debt. 698 00:35:45,840 --> 00:35:48,200 Speaker 12: Yeah, so the credit markets have been really interesting this year. 699 00:35:48,790 --> 00:35:51,969 Speaker 12: really until the past few weeks, in aggregate, they had 700 00:35:52,010 --> 00:35:55,219 Speaker 12: looked rock solid. But when you started to decompose and 701 00:35:55,320 --> 00:35:58,040 Speaker 12: peel back the layers, there are some sectors that have 702 00:35:58,080 --> 00:36:01,440 Speaker 12: performed really well, obviously energy and basics, it's the commodities 703 00:36:01,480 --> 00:36:05,800 Speaker 12: inflation trade, whereas the hyperscalers, the technology, the triple Cs 704 00:36:06,200 --> 00:36:10,190 Speaker 12: have been decompressing. And there's that kind of reassortment of 705 00:36:10,770 --> 00:36:13,729 Speaker 12: valuations and what looks cheap and what doesn't look cheap. 706 00:36:13,770 --> 00:36:16,890 Speaker 12: And it's very unusual relative to history, especially in the 707 00:36:16,910 --> 00:36:20,210 Speaker 12: investment grade market. Some of this is fundamental in that 708 00:36:20,270 --> 00:36:23,739 Speaker 12: people are worried about the outlook for inflation, the Fed 709 00:36:23,760 --> 00:36:27,020 Speaker 12: hiking outlook. What are these lower rated issuers going to do? 710 00:36:27,440 --> 00:36:29,160 Speaker 12: But some of it is very technical in terms of 711 00:36:29,200 --> 00:36:30,180 Speaker 12: portfolio construction. 712 00:36:30,770 --> 00:36:32,350 Speaker 2: Okay, I got to ask it to you. I mean, folks, 713 00:36:32,610 --> 00:36:35,109 Speaker 2: they're like talking to each other. I have no clue 714 00:36:35,130 --> 00:36:38,050 Speaker 2: what they're talking about, but there they are. I want 715 00:36:38,180 --> 00:36:40,719 Speaker 2: to talk CDS right now, which is completely away from 716 00:36:40,780 --> 00:36:43,580 Speaker 2: both of you. I bring up the Oracle CDS, which 717 00:36:43,600 --> 00:36:46,580 Speaker 2: is to get people going right now. I bring up 718 00:36:46,620 --> 00:36:49,850 Speaker 2: a trading envelope of that. And the answer is we've 719 00:36:49,870 --> 00:36:52,710 Speaker 2: got some substantial moves here. I'm eyeballing it as a 720 00:36:52,950 --> 00:36:58,180 Speaker 2: two-standard deviation move, worse, sir, for Oracle. To grizzled short-term 721 00:36:58,239 --> 00:37:00,580 Speaker 2: pros like you, Ira, what does that mean for you? 722 00:37:01,000 --> 00:37:04,469 Speaker 6: Well, you know, when... Credit default swaps, right? They're just 723 00:37:04,530 --> 00:37:05,490 Speaker 6: a spread, right? 724 00:37:05,770 --> 00:37:08,250 Speaker 5: So I actually wrote the Credit Suisse handbook on credit 725 00:37:08,270 --> 00:37:09,270 Speaker 5: default swaps back in 2005. 726 00:37:09,250 --> 00:37:12,020 Speaker 6: That helped the bank. Well, we did OK in 2007 727 00:37:12,020 --> 00:37:12,219 Speaker 6: to 2009. 728 00:37:12,219 --> 00:37:13,200 Speaker 9: It was after that. 729 00:37:19,489 --> 00:37:22,310 Speaker 5: Credit default swaps, as they widen it, they are a 730 00:37:22,350 --> 00:37:26,670 Speaker 5: signal that you're going to have wider and higher borrowing 731 00:37:26,690 --> 00:37:29,460 Speaker 5: costs for these firms. But one of the things that 732 00:37:29,480 --> 00:37:33,500 Speaker 5: I want to ask you, Winnie, is when we look 733 00:37:33,520 --> 00:37:35,320 Speaker 5: at all of this issuance, and we do have a 734 00:37:35,340 --> 00:37:38,940 Speaker 5: lot of corporate issuance, how. 735 00:37:38,860 --> 00:37:42,640 Speaker 6: Well digested is it really being? We do see new names, right? 736 00:37:42,660 --> 00:37:46,650 Speaker 5: So obviously there's diversification factors that are at play. But 737 00:37:46,730 --> 00:37:49,950 Speaker 5: when we, you know, is there that much depth in 738 00:37:50,010 --> 00:37:51,820 Speaker 5: demand for this paper overall? 739 00:37:52,710 --> 00:37:56,089 Speaker 12: Yeah, what's interesting is we are seeing deals get digested, right? 740 00:37:56,110 --> 00:37:59,549 Speaker 12: Like we haven't seen a hyperscaler deal fail to clear 741 00:37:59,570 --> 00:38:02,160 Speaker 12: the market. We haven't seen a high yield bond deal 742 00:38:02,280 --> 00:38:06,000 Speaker 12: in the data center infrastructure space really have a massive 743 00:38:06,040 --> 00:38:08,980 Speaker 12: failure as well. Things are pricing at wider levels across 744 00:38:09,040 --> 00:38:12,540 Speaker 12: investment grade and high yield. So things are definitely getting digested. 745 00:38:12,900 --> 00:38:16,200 Speaker 12: But the analysis that investors are having to run is, okay, 746 00:38:16,640 --> 00:38:19,890 Speaker 12: I know more is coming. what is the appropriate yield 747 00:38:19,910 --> 00:38:22,190 Speaker 12: to compensate me today when I know that there's a 748 00:38:22,270 --> 00:38:22,910 Speaker 12: lot more coming? 749 00:38:22,930 --> 00:38:25,230 Speaker 2: Okay, so here's the, I brought this up, folks. Ira 750 00:38:25,250 --> 00:38:27,840 Speaker 2: Jersey taught me how to do this. Winnie didn't. The 751 00:38:27,920 --> 00:38:32,660 Speaker 2: Amazon 6% way out, 2076. The only one in the 752 00:38:32,700 --> 00:38:34,300 Speaker 2: room that's going to see the end of that is... 753 00:38:34,730 --> 00:38:39,450 Speaker 2: Alexis Christophorus. And the reality is Amazon, which is doing 754 00:38:39,489 --> 00:38:44,330 Speaker 2: better than good, has gone from 100 to 89. I mean, 755 00:38:44,410 --> 00:38:48,440 Speaker 2: even if that's a good quality, that's quite a price decline, Ira, right? Yeah. 756 00:38:48,840 --> 00:38:50,980 Speaker 5: And a lot of that's going to be because of rate, right? 757 00:38:51,020 --> 00:38:52,460 Speaker 5: That's not only because of credit spread. 758 00:38:52,480 --> 00:38:53,839 Speaker 2: Or they're readjusting to the future. 759 00:38:53,860 --> 00:38:55,460 Speaker 5: Part of it's credit spread and part of it's the 760 00:38:55,480 --> 00:38:58,070 Speaker 5: fact that when that bond was issued, we were at 5%, 761 00:38:58,070 --> 00:38:58,450 Speaker 5: 30-year yields. 762 00:38:58,489 --> 00:38:58,969 Speaker 2: Not 5.5%, right? 763 00:38:59,010 --> 00:38:59,190 Speaker 8: Yeah. 764 00:39:02,530 --> 00:39:08,910 Speaker 5: So you can't completely disconnect, particularly from IG names, the 765 00:39:08,950 --> 00:39:13,500 Speaker 5: rate component of that. As we think when we hear 766 00:39:13,640 --> 00:39:19,860 Speaker 5: about credit quality and aggregate, how concerned are you about earnings, 767 00:39:20,020 --> 00:39:21,259 Speaker 5: about credit quality? 768 00:39:22,660 --> 00:39:24,670 Speaker 6: Obviously, there's still demand, as you mentioned. 769 00:39:25,090 --> 00:39:28,190 Speaker 5: But are we going to see a deterioration as companies 770 00:39:28,330 --> 00:39:32,080 Speaker 5: either have to pay more wages or maybe growth slows? 771 00:39:32,320 --> 00:39:32,560 Speaker 8: Yeah. 772 00:39:32,680 --> 00:39:34,879 Speaker 12: I think that from a credit quality perspective, the first 773 00:39:34,920 --> 00:39:37,719 Speaker 12: thing we are always looking at as credit people is 774 00:39:37,780 --> 00:39:40,219 Speaker 12: the interest coverage levels. And that is going to be 775 00:39:40,300 --> 00:39:43,010 Speaker 12: under pressure as borrowing costs are higher. And we've seen 776 00:39:43,030 --> 00:39:47,410 Speaker 12: a wave of intentional re-leveraging across some cohorts of the market. 777 00:39:47,770 --> 00:39:50,450 Speaker 12: When you go down into the leverage finance space, we've 778 00:39:50,469 --> 00:39:54,200 Speaker 12: seen much less of that intentional leveraging, but it's been 779 00:39:54,219 --> 00:39:57,120 Speaker 12: a bit problematic more recently because there's no sponsor to 780 00:39:57,140 --> 00:39:59,799 Speaker 12: sponsor M & A. There's no exit opportunities for some 781 00:39:59,820 --> 00:40:01,100 Speaker 12: of these smaller cap companies. 782 00:40:01,180 --> 00:40:03,850 Speaker 2: What's the integrity you see in money market funds right now? 783 00:40:04,860 --> 00:40:07,190 Speaker 12: I think that I'm never going to bet against money 784 00:40:07,210 --> 00:40:10,650 Speaker 12: market funds. I mean, and especially as we are seeing 785 00:40:10,910 --> 00:40:16,110 Speaker 12: more rate hikes and cash is, you know, yielding again. 786 00:40:16,130 --> 00:40:18,950 Speaker 2: We're up to $ 8 trillion. Do you just go to 787 00:40:18,950 --> 00:40:20,590 Speaker 2: $ 9 trillion or $ 10 trillion? 788 00:40:20,650 --> 00:40:22,930 Speaker 12: I mean, when you think about the cash that that 789 00:40:22,969 --> 00:40:27,279 Speaker 12: cash generates, there is just this tremendous compounding effect, even 790 00:40:27,340 --> 00:40:30,600 Speaker 12: as you see amazing numbers. muni etf inflows over the 791 00:40:30,640 --> 00:40:33,339 Speaker 12: past few weeks people are trying to reallocate but like 792 00:40:33,800 --> 00:40:36,840 Speaker 12: that compounding effect cannot be underestimated. 793 00:40:36,260 --> 00:40:38,280 Speaker 2: Winnie thank you so much winnie caesar with his global 794 00:40:38,300 --> 00:40:43,069 Speaker 2: head strategy at credit sites in studio with us stay 795 00:40:43,090 --> 00:40:47,170 Speaker 2: with us more from bloomberg surveillance coming up after this. 796 00:40:54,239 --> 00:40:57,830 Speaker 4: You're listening to the Bloomberg Surveillance Podcast. Catch us live 797 00:40:57,910 --> 00:40:59,989 Speaker 4: weekday afternoons from 7 to 10 a.m. 798 00:41:00,050 --> 00:41:00,430 Speaker 1: Eastern. 799 00:41:00,530 --> 00:41:03,830 Speaker 4: Listen on Apple CarPlay and Android Auto with the Bloomberg 800 00:41:03,860 --> 00:41:06,380 Speaker 4: Business app or watch us live on YouTube. 801 00:41:06,739 --> 00:41:08,680 Speaker 2: Let me catch up with us right now. I want 802 00:41:08,700 --> 00:41:11,399 Speaker 2: to get to the midterm elections and how many business days? 803 00:41:11,460 --> 00:41:15,960 Speaker 2: It's like 13 business days. until we get to the midterms. 804 00:41:16,239 --> 00:41:18,280 Speaker 2: If you look at the weekends, that's just a focus 805 00:41:18,700 --> 00:41:22,120 Speaker 2: on the Denver Broncos. Cantrell here because she can't concentrate. 806 00:41:22,180 --> 00:41:22,660 Speaker 6: Tonight, Broncos. 807 00:41:22,680 --> 00:41:23,720 Speaker 2: We're going to come back. 808 00:41:23,800 --> 00:41:26,540 Speaker 13: We've had a really difficult season so far, but we're 809 00:41:26,560 --> 00:41:26,960 Speaker 13: going to come back. 810 00:41:26,980 --> 00:41:30,340 Speaker 2: But this is like a real football game tonight. I mean, Broncos, Seattle. 811 00:41:30,360 --> 00:41:30,799 Speaker 3: Oh, my God. 812 00:41:30,880 --> 00:41:33,239 Speaker 11: We're just like fingers crossed that Bo Nix. 813 00:41:33,120 --> 00:41:35,969 Speaker 2: Delivers, honestly. That's like late season football tonight. 814 00:41:35,989 --> 00:41:38,530 Speaker 13: I really do appreciate that we're leading with this, Tom. 815 00:41:38,570 --> 00:41:40,890 Speaker 13: This has actually been more of a center of focus 816 00:41:40,930 --> 00:41:41,490 Speaker 13: in the midterms. 817 00:41:41,670 --> 00:41:43,969 Speaker 2: But it's a focus. But do you seriously and the 818 00:41:44,010 --> 00:41:47,930 Speaker 2: folks after this is after Libby's contribution yesterday with Nathan 819 00:41:47,950 --> 00:41:51,680 Speaker 2: Hager to money markets in the midterms in Washington. What 820 00:41:51,739 --> 00:41:55,080 Speaker 2: was the body language at that seminar yesterday? 821 00:41:55,219 --> 00:41:58,480 Speaker 13: Well, yeah, I would say just in general in Washington, 822 00:41:58,500 --> 00:42:01,200 Speaker 13: I was on the Hill afterward. And, you know, Republicans 823 00:42:01,340 --> 00:42:03,660 Speaker 13: are pretty down and out on the House. I think 824 00:42:03,700 --> 00:42:07,770 Speaker 13: that they've just almost capitulated. that they are going to 825 00:42:08,050 --> 00:42:10,270 Speaker 13: likely the House will flip. Of course, Republicans will have 826 00:42:10,290 --> 00:42:12,850 Speaker 13: a three seat majority, as you know. So Democrats don't 827 00:42:12,890 --> 00:42:14,810 Speaker 13: need to do much to take it back. But it 828 00:42:14,850 --> 00:42:17,900 Speaker 13: did feel like this sort of resignation was setting in. 829 00:42:17,920 --> 00:42:20,779 Speaker 13: I think the Senate, people still think that Republicans can 830 00:42:20,820 --> 00:42:22,879 Speaker 13: pull it out on the Senate. I think regardless, though, 831 00:42:22,900 --> 00:42:24,580 Speaker 13: it's going to be a very small majority. 832 00:42:24,600 --> 00:42:28,129 Speaker 2: Within your holistic research at PIMCO, Do you have any 833 00:42:28,310 --> 00:42:32,970 Speaker 2: measurement of turnout now? To me, that's the immense mystery. 834 00:42:33,140 --> 00:42:36,959 Speaker 13: Yeah, I think it's easy to read too much into 835 00:42:37,080 --> 00:42:40,220 Speaker 13: early vote. I mean, you are seeing some states that. 836 00:42:40,100 --> 00:42:41,339 Speaker 11: Have started the early vote. 837 00:42:41,360 --> 00:42:43,560 Speaker 13: Of course, about half of the electorate will have voted 838 00:42:43,640 --> 00:42:47,180 Speaker 13: before the actual election. And the turnout is high. But 839 00:42:47,219 --> 00:42:48,529 Speaker 13: I would just say there have been a lot of 840 00:42:48,590 --> 00:42:51,910 Speaker 13: sort of false positives in terms of the early vote. 841 00:42:51,950 --> 00:42:53,350 Speaker 13: You know, what you're just seeing, though, in terms of 842 00:42:53,370 --> 00:42:56,390 Speaker 13: the enthusiasm gap, Tom, so it's You can look at 843 00:42:56,410 --> 00:42:58,690 Speaker 13: prediction markets, but we also like to look at sort 844 00:42:58,730 --> 00:43:02,390 Speaker 13: of old school economy, old economy metrics. One is the 845 00:43:02,430 --> 00:43:05,370 Speaker 13: generic ballot, just the difference between general view of one 846 00:43:05,390 --> 00:43:08,950 Speaker 13: party over another. Democrats lead by D plus eight, D 847 00:43:08,969 --> 00:43:12,340 Speaker 13: plus nine. And then the enthusiasm gap, and that oftentimes 848 00:43:12,390 --> 00:43:16,839 Speaker 13: has translated into voter turnout. That's a Democrat plus 11. 849 00:43:16,840 --> 00:43:21,020 Speaker 13: So those are both in wave territory. They're consistent with 2010. 850 00:43:21,020 --> 00:43:24,540 Speaker 13: They're consistent with 2006. Those were those were waves. 851 00:43:24,620 --> 00:43:26,660 Speaker 2: And in terms of the midterms, the real problem here 852 00:43:26,700 --> 00:43:30,500 Speaker 2: is I have no enthusiasm this morning. Canadians lost last 853 00:43:30,580 --> 00:43:34,549 Speaker 2: night to the Capitals with enthusiasm as Ira Jersey of 854 00:43:34,590 --> 00:43:37,530 Speaker 2: Bloomberg Intelligence with Libby Cantrell of PIMCO. 855 00:43:37,710 --> 00:43:37,810 Speaker 6: So. 856 00:43:38,469 --> 00:43:40,529 Speaker 5: Libby, we're talking a lot about the federal government and 857 00:43:40,550 --> 00:43:42,610 Speaker 5: the federal elections, but there's a lot of other state 858 00:43:42,900 --> 00:43:46,319 Speaker 5: elections and the like that are also going on. And 859 00:43:46,660 --> 00:43:50,609 Speaker 5: some of the major investment in AI is really being 860 00:43:50,640 --> 00:43:54,310 Speaker 5: affected by decisions at the local and state levels. Talk 861 00:43:54,350 --> 00:43:57,610 Speaker 5: about those dynamics and how you're thinking about it at 862 00:43:58,450 --> 00:44:00,850 Speaker 5: you know, your firm from an investment perspective? Like, are 863 00:44:00,890 --> 00:44:03,600 Speaker 5: there other things that we should be paying attention to 864 00:44:03,719 --> 00:44:05,919 Speaker 5: outside of who holds the House and the Senate? 865 00:44:06,160 --> 00:44:08,700 Speaker 13: Yeah, I mean, at least for the foreseeable future, we 866 00:44:08,739 --> 00:44:11,600 Speaker 13: think that, you know, policy will really be a state 867 00:44:11,680 --> 00:44:15,520 Speaker 13: issue in terms of AI, not a federal one, particularly 868 00:44:15,540 --> 00:44:18,750 Speaker 13: if Donald, if President Trump sort of stays consistent with 869 00:44:18,770 --> 00:44:20,750 Speaker 13: what he's been talking about and how he doesn't want 870 00:44:20,770 --> 00:44:21,710 Speaker 13: to necessarily regulate. 871 00:44:21,750 --> 00:44:22,630 Speaker 9: That could obviously change. 872 00:44:22,969 --> 00:44:25,190 Speaker 11: But the state level, this is absolutely on the ballot. 873 00:44:25,570 --> 00:44:29,330 Speaker 13: And you're seeing 36 of 50 states are going to 874 00:44:29,370 --> 00:44:33,719 Speaker 13: vote for their future governors. Many governors are running on 875 00:44:33,760 --> 00:44:38,900 Speaker 13: an anti-data center in particular platform. Many candidates in these races, 876 00:44:38,960 --> 00:44:40,980 Speaker 13: both Democrat and Republican, I think this is the most 877 00:44:41,060 --> 00:44:43,520 Speaker 13: interesting dynamic of all of this issue. This issue is 878 00:44:43,660 --> 00:44:47,700 Speaker 13: so bipartisan that now you're seeing, you know, the gubernatorial 879 00:44:47,760 --> 00:44:51,180 Speaker 13: candidates on both sides of the aisle advocate for pretty 880 00:44:51,219 --> 00:44:56,690 Speaker 13: draconian policy responses. Lots of candidates, particularly in Ohio, where 881 00:44:56,710 --> 00:44:58,930 Speaker 13: there's a lot of capacity that's sort of in the hopper, 882 00:44:58,969 --> 00:45:02,410 Speaker 13: if you will. Both governor candidates are advocating for a 883 00:45:02,510 --> 00:45:05,830 Speaker 13: full statewide moratorium. So I think that what we're going 884 00:45:05,850 --> 00:45:08,810 Speaker 13: to see in 2027, I would expect, I just was 885 00:45:08,830 --> 00:45:09,469 Speaker 13: saying this on air. 886 00:45:09,850 --> 00:45:13,250 Speaker 11: Politics leads policy. Policy follows politics. 887 00:45:13,290 --> 00:45:15,549 Speaker 13: The politics of this are very bad. And we're not 888 00:45:15,590 --> 00:45:18,760 Speaker 13: necessarily endorsing that, but they're very bad. And so we're 889 00:45:18,800 --> 00:45:24,020 Speaker 13: expecting more friction, more moratoria, more restrictions just in general. 890 00:45:24,100 --> 00:45:27,719 Speaker 13: And that could definitely at least put some potholes in 891 00:45:27,739 --> 00:45:28,520 Speaker 13: this AI story. 892 00:45:28,640 --> 00:45:31,969 Speaker 2: What I hear interview to interview is, is that Democrats 893 00:45:32,030 --> 00:45:35,029 Speaker 2: are challenged to come up with a theme. What does 894 00:45:35,090 --> 00:45:39,390 Speaker 2: Speaker Jeffries do the first Wednesday of November when he 895 00:45:39,450 --> 00:45:40,250 Speaker 2: takes the House? 896 00:45:40,610 --> 00:45:43,610 Speaker 13: Yeah, so one staffer told me yesterday, he said the 897 00:45:43,660 --> 00:45:46,020 Speaker 13: real challenge for Democrats is will they want to make 898 00:45:46,080 --> 00:45:48,360 Speaker 13: a point or will they want to make laws? And 899 00:45:48,380 --> 00:45:50,720 Speaker 13: I think that is really the issue. 900 00:45:50,739 --> 00:45:52,500 Speaker 2: And what's your study of that right now? 901 00:45:52,980 --> 00:45:54,580 Speaker 13: Well, I don't think they're going to impeach the president. 902 00:45:54,660 --> 00:45:57,719 Speaker 13: I think they've learned that lesson that just takes up 903 00:45:57,760 --> 00:46:02,430 Speaker 13: way too much airtime, politically doesn't really deliver. the intended results. 904 00:46:02,810 --> 00:46:05,310 Speaker 13: They may impeach, you know, Secretary Hegseth or what have you. That, 905 00:46:05,350 --> 00:46:07,930 Speaker 13: of course, conviction takes two-thirds of the Senate. 906 00:46:07,969 --> 00:46:08,630 Speaker 11: That won't happen. 907 00:46:09,219 --> 00:46:11,419 Speaker 13: But I think they're, you know, it sounds like they're 908 00:46:11,460 --> 00:46:13,940 Speaker 13: really going to try to focus on two or three 909 00:46:14,040 --> 00:46:17,279 Speaker 13: issues where they're actually, they could actually get over the 910 00:46:17,320 --> 00:46:22,549 Speaker 13: finish line with the president. Affordability, so healthcare, housing could 911 00:46:22,570 --> 00:46:25,029 Speaker 13: be part of this. Data centers could be also. They 912 00:46:25,770 --> 00:46:28,569 Speaker 13: the House has already passed this data center bill. The 913 00:46:28,590 --> 00:46:30,640 Speaker 13: Senate failed to pass that. We'll see if they've been 914 00:46:30,660 --> 00:46:32,580 Speaker 13: the lame duck. If they don't, you could see. 915 00:46:32,480 --> 00:46:33,320 Speaker 11: That in the new Congress. 916 00:46:33,600 --> 00:46:35,430 Speaker 13: So I think they're going to try to pick kind 917 00:46:35,450 --> 00:46:38,430 Speaker 13: of the low-hanging fruit, if you will, things that actually 918 00:46:38,810 --> 00:46:41,410 Speaker 13: could get the president's signature. I will just say the 919 00:46:41,469 --> 00:46:45,160 Speaker 13: big open question is, do Democrats take back control of 920 00:46:45,200 --> 00:46:46,860 Speaker 13: the Senate? Not to be too wonky here, but I 921 00:46:46,900 --> 00:46:47,899 Speaker 13: know I can. 922 00:46:47,820 --> 00:46:48,700 Speaker 11: Walk out with you guys. 923 00:46:49,380 --> 00:46:52,780 Speaker 13: Because for most legislation, you need 60 votes in the Senate. 924 00:46:52,840 --> 00:46:55,020 Speaker 13: Democrats will not get that even if they take back 925 00:46:55,080 --> 00:46:59,629 Speaker 13: the Senate. However, reconciliation, it's a specific type of bill 926 00:46:59,670 --> 00:47:01,270 Speaker 13: that they can pass with just 50 votes. 927 00:47:01,290 --> 00:47:02,750 Speaker 11: So if If the. 928 00:47:02,650 --> 00:47:05,870 Speaker 13: Democrats take back both chambers, then you could actually see 929 00:47:05,890 --> 00:47:09,230 Speaker 13: them try to pass legislation around a couple of issues 930 00:47:09,690 --> 00:47:12,430 Speaker 13: and with the hopes that President Trump signs into law 931 00:47:12,550 --> 00:47:13,990 Speaker 13: or at least daring him not. 932 00:47:13,810 --> 00:47:14,910 Speaker 11: To sign it into law. 933 00:47:14,930 --> 00:47:16,069 Speaker 9: So, well, you know, we'll see. 934 00:47:16,130 --> 00:47:18,430 Speaker 13: This is still obviously a real work in progress and 935 00:47:18,469 --> 00:47:20,570 Speaker 13: the election still needs to happen in the first place. 936 00:47:20,890 --> 00:47:22,899 Speaker 6: So one of the things. that I hate. 937 00:47:22,920 --> 00:47:25,000 Speaker 5: I think it's the, the dumbest debate that Congress has 938 00:47:25,060 --> 00:47:28,400 Speaker 5: is over the debt limit. And with the, you and 939 00:47:28,420 --> 00:47:28,860 Speaker 5: me both. 940 00:47:29,340 --> 00:47:29,820 Speaker 2: Okay. 941 00:47:30,200 --> 00:47:31,359 Speaker 1: I'm glad I have that. 942 00:47:31,450 --> 00:47:32,089 Speaker 9: Oh my goodness. 943 00:47:32,290 --> 00:47:34,009 Speaker 13: The amount of work that we have to do at 944 00:47:34,030 --> 00:47:35,930 Speaker 13: PIM go, uh, in advance of that. 945 00:47:36,010 --> 00:47:36,290 Speaker 3: Yeah. 946 00:47:36,390 --> 00:47:36,990 Speaker 6: It's crazy. 947 00:47:37,030 --> 00:47:37,230 Speaker 8: Right. 948 00:47:37,250 --> 00:47:39,270 Speaker 5: We wind up having to do these daily models. What 949 00:47:39,330 --> 00:47:40,430 Speaker 5: is the X date and all this other stuff? 950 00:47:40,450 --> 00:47:42,009 Speaker 11: You have to take it seriously too, of course. And 951 00:47:42,030 --> 00:47:44,259 Speaker 11: we're fiduciaries. So it does affect the way that we 952 00:47:44,320 --> 00:47:45,720 Speaker 11: invest in bills, for instance. 953 00:47:46,160 --> 00:47:46,580 Speaker 2: Yeah. 954 00:47:46,860 --> 00:47:49,080 Speaker 5: And so obviously you see that, right? Those T bills 955 00:47:49,160 --> 00:47:51,600 Speaker 5: that are kind of in the crosshairs always trade cheap. 956 00:47:53,140 --> 00:47:55,620 Speaker 2: Tom, I feel like I'm in the fixed income cafe. 957 00:47:55,660 --> 00:47:55,990 Speaker 8: I love it. 958 00:47:56,020 --> 00:47:57,180 Speaker 9: I'm here for the Broncos and Bonds. 959 00:47:57,200 --> 00:47:58,620 Speaker 2: I mean, please guys, have me back. Let me take 960 00:47:58,660 --> 00:48:00,620 Speaker 2: over here. What does President Trump need to do to 961 00:48:00,680 --> 00:48:19,360 Speaker 2: help his GOP In the next 13 business days. 962 00:48:19,420 --> 00:48:22,580 Speaker 13: I mean, I think he has to honestly pivot this rhetoric. 963 00:48:22,640 --> 00:48:26,399 Speaker 13: I mean, he really needs to take the affordability issue seriously. 964 00:48:26,840 --> 00:48:29,870 Speaker 13: He needs to, you know, assuage people that he's going 965 00:48:29,930 --> 00:48:32,610 Speaker 13: to do a bunch of things. And, you know, when 966 00:48:32,630 --> 00:48:35,790 Speaker 13: he comes back in a new Congress, I just think 967 00:48:35,830 --> 00:48:37,690 Speaker 13: that as we've talked about, lots of folks. 968 00:48:37,550 --> 00:48:39,969 Speaker 11: Have already voted. The sentiment is incredibly calcified. 969 00:48:40,170 --> 00:48:42,029 Speaker 13: And the other thing, Tom, I'll just say is that 970 00:48:42,090 --> 00:48:46,820 Speaker 13: this angst among voters is has been brewing since COVID. 971 00:48:46,880 --> 00:48:47,819 Speaker 11: So, you know, the. 972 00:48:47,800 --> 00:48:51,900 Speaker 13: Democrats were the casualty of this in 2022 and 2024. 973 00:48:51,900 --> 00:48:56,109 Speaker 13: Now Republicans will be. I think Democrats could over-interpret their 974 00:48:56,150 --> 00:48:58,690 Speaker 13: mandate here. Think it more as an endorsement of their 975 00:48:58,750 --> 00:49:01,969 Speaker 13: own party versus a protest vote. And especially in 2028, 976 00:49:01,969 --> 00:49:02,850 Speaker 13: voters will be shopping. 977 00:49:02,969 --> 00:49:04,970 Speaker 2: I hope I see you five more times in the 978 00:49:04,989 --> 00:49:07,879 Speaker 2: next 13 business days. Good luck to the Broncos tonight. 979 00:49:07,900 --> 00:49:08,310 Speaker 13: Thank you. 980 00:49:08,320 --> 00:49:09,290 Speaker 1: We need it. We need it. 981 00:49:09,300 --> 00:49:09,980 Speaker 2: Fingers crossed. 982 00:49:10,080 --> 00:49:15,009 Speaker 4: This is the Bloomberg Surveillance Podcast, available on Apple, Spotify, 983 00:49:15,130 --> 00:49:17,270 Speaker 4: and anywhere else you get your podcasts. 984 00:49:17,830 --> 00:49:19,450 Speaker 1: Listen live each weekday, 7 to 10. 985 00:49:20,200 --> 00:49:20,419 Speaker 8: A.m. 986 00:49:20,500 --> 00:49:25,980 Speaker 4: Eastern, on Bloomberg.com, the iHeartRadio app, TuneIn, and the Bloomberg 987 00:49:26,020 --> 00:49:29,380 Speaker 4: Business app. You can also watch us live every weekday 988 00:49:29,460 --> 00:49:32,280 Speaker 4: on YouTube and always on the Bloomberg Terminal.