1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,560 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple podcast or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:23,200 Speaker 1: at Bloomberg dot com slash podcast. Lyle him Baugh he 7 00:00:23,600 --> 00:00:26,160 Speaker 1: is co founder at Granite Group Advisors. They're an independent 8 00:00:26,200 --> 00:00:28,960 Speaker 1: wealth management firm, and he joins us on the phone 9 00:00:29,000 --> 00:00:30,960 Speaker 1: on his Black Friday. Lyle, Hey, good to have you 10 00:00:31,040 --> 00:00:34,279 Speaker 1: here with Paul and myself. So it's been quite a year. 11 00:00:34,280 --> 00:00:36,080 Speaker 1: I'm looking forward to wrapping it up, but I'm a 12 00:00:36,240 --> 00:00:40,479 Speaker 1: little cautious and concerned about what three brings. How do 13 00:00:40,520 --> 00:00:44,040 Speaker 1: you see it? Well, thanks for having me and happy 14 00:00:44,360 --> 00:00:48,920 Speaker 1: trip to fend overload day. So I think you know 15 00:00:49,479 --> 00:00:51,600 Speaker 1: right now the way we're looking at the market. You know, 16 00:00:51,640 --> 00:00:53,920 Speaker 1: the market. Just to give you some contacts, the market 17 00:00:54,000 --> 00:00:57,840 Speaker 1: historically trade at fifteen to sixteen times forward numbers. Right 18 00:00:57,880 --> 00:01:02,040 Speaker 1: now the market refrain to the smp uh, we're trading 19 00:01:02,040 --> 00:01:05,800 Speaker 1: around almost seventeen and a half times forward numbers, which 20 00:01:05,840 --> 00:01:08,920 Speaker 1: is not really terribly expensive. But when you overlay the 21 00:01:08,959 --> 00:01:13,000 Speaker 1: backdrop of uh, you know, a potential slow down or 22 00:01:13,000 --> 00:01:14,760 Speaker 1: even a recession. We don't believe we're going to go 23 00:01:14,840 --> 00:01:16,720 Speaker 1: to a recession. We think we're just going to slow down. 24 00:01:16,720 --> 00:01:19,399 Speaker 1: To that of spending is pretty pretty strong. But what 25 00:01:19,560 --> 00:01:23,560 Speaker 1: really concerns me is, you know, the personal savings rate 26 00:01:23,720 --> 00:01:27,039 Speaker 1: as a percentage of disposal income is right where it 27 00:01:27,160 --> 00:01:29,480 Speaker 1: was back in O eight, and we all knew what 28 00:01:29,560 --> 00:01:33,840 Speaker 1: happened after that, right from O to O nine. So um, 29 00:01:33,880 --> 00:01:35,920 Speaker 1: so I'm a little concerned. I mean, if I'm a 30 00:01:36,840 --> 00:01:40,840 Speaker 1: if I'm a short term trader investor, I would be 31 00:01:40,959 --> 00:01:44,640 Speaker 1: very cautious here. I would not put on new positions. 32 00:01:44,720 --> 00:01:48,120 Speaker 1: If you have your gigantic profits and Apple that you've 33 00:01:48,120 --> 00:01:51,640 Speaker 1: held for ten years, great, keep going Uh I went 34 00:01:51,880 --> 00:01:54,880 Speaker 1: buy uh too much? I'd be I'd wait for the 35 00:01:54,920 --> 00:01:58,120 Speaker 1: market to present an opportunity to get a better entry point. 36 00:01:59,000 --> 00:02:02,960 Speaker 1: So I mean, lie, we're up about twelve off of 37 00:02:02,960 --> 00:02:07,000 Speaker 1: the recent lows in the SMP. That feels kind of 38 00:02:07,040 --> 00:02:10,240 Speaker 1: real to me or my getting a head fake here, No, 39 00:02:10,400 --> 00:02:12,560 Speaker 1: that it's real, But I just think you know, people 40 00:02:12,680 --> 00:02:14,040 Speaker 1: have you know, there's a lot of hope built in 41 00:02:14,120 --> 00:02:17,440 Speaker 1: this market that the FED is gonna slow the rate 42 00:02:17,480 --> 00:02:20,079 Speaker 1: to increase, and and they're going to but you have 43 00:02:20,120 --> 00:02:22,399 Speaker 1: to understand the FED is data driven, and they can't 44 00:02:22,400 --> 00:02:24,920 Speaker 1: get all the data until January for the fourth quarters, 45 00:02:25,000 --> 00:02:27,640 Speaker 1: so they're going to raise rates again, you know, I 46 00:02:27,680 --> 00:02:29,600 Speaker 1: would you know, I think the investors need to take 47 00:02:29,919 --> 00:02:32,880 Speaker 1: a real hard listen to what Mr Powell says. And 48 00:02:33,200 --> 00:02:35,560 Speaker 1: he's raising rates. Is it fifty, it's seventy five. It's 49 00:02:35,560 --> 00:02:38,240 Speaker 1: still a raise, and he's probably gonna raise again in 50 00:02:38,280 --> 00:02:40,000 Speaker 1: the future. It's just gonna be a slow rate. So 51 00:02:40,000 --> 00:02:43,120 Speaker 1: I think there's a lot of expectation built in that. 52 00:02:43,919 --> 00:02:47,520 Speaker 1: Uh it's it's gonna really slow or stop and right 53 00:02:47,600 --> 00:02:50,000 Speaker 1: now I don't see it. But then you have the 54 00:02:50,240 --> 00:02:52,960 Speaker 1: market valuation on top of that, so there's not a 55 00:02:53,000 --> 00:02:55,240 Speaker 1: real lot. I don't see a big catalyst for the 56 00:02:55,240 --> 00:02:57,360 Speaker 1: markets to go up here in the short term. Well 57 00:02:57,400 --> 00:02:58,880 Speaker 1: what do you make that when, as you said, the 58 00:02:58,880 --> 00:03:01,560 Speaker 1: FED is data driven. Doubt about a great story from 59 00:03:01,600 --> 00:03:04,320 Speaker 1: the Wall Street Journal today, how the Fed's gonna be 60 00:03:04,320 --> 00:03:07,160 Speaker 1: watching Black Friday Cyber Monday for insights into the health 61 00:03:07,160 --> 00:03:09,720 Speaker 1: of the US consumer. Wall Street Journal putting it this way, 62 00:03:09,880 --> 00:03:14,520 Speaker 1: the diagnosis this year takes on UH increased significance in 63 00:03:14,639 --> 00:03:17,519 Speaker 1: light of the deteriorating economic landscape. We know how important 64 00:03:17,520 --> 00:03:20,160 Speaker 1: the consumer is to the US economy. So if we 65 00:03:20,320 --> 00:03:24,920 Speaker 1: see some sobering consumer spending numbers, might that change your 66 00:03:24,919 --> 00:03:28,840 Speaker 1: thought about maybe when the FED is done. Absolutely listen 67 00:03:29,800 --> 00:03:33,280 Speaker 1: of GDPs retail sales, right, So that's why they have 68 00:03:33,320 --> 00:03:35,320 Speaker 1: to look at that. So when you when you take 69 00:03:35,360 --> 00:03:38,440 Speaker 1: that consideration, if we have a tough UH, if we 70 00:03:38,560 --> 00:03:42,240 Speaker 1: have a tough retail sales numbers come out after this weekend, 71 00:03:42,280 --> 00:03:45,880 Speaker 1: I think the Fed's going to really keep going. They haven't. 72 00:03:46,400 --> 00:03:49,400 Speaker 1: They haven't really seen anything different. They say they're going 73 00:03:49,440 --> 00:03:51,520 Speaker 1: to keep going, So I think he'll just But you 74 00:03:51,560 --> 00:03:53,760 Speaker 1: know what I have to say, I was thinking about 75 00:03:53,760 --> 00:03:55,760 Speaker 1: this Paul coming in, which is pretty sobering since I 76 00:03:55,840 --> 00:03:57,960 Speaker 1: was half awake, and this is what I was thinking about. 77 00:03:58,000 --> 00:04:01,839 Speaker 1: But FED policy that if they do smaller increments, that 78 00:04:01,920 --> 00:04:04,280 Speaker 1: leaves the door open that they might not go to 79 00:04:04,320 --> 00:04:06,760 Speaker 1: that higher FED funds. Right, they might see data points 80 00:04:06,760 --> 00:04:09,040 Speaker 1: that say we don't have to go as high as 81 00:04:09,120 --> 00:04:11,600 Speaker 1: we thought, and it could change the thinking in terms 82 00:04:11,640 --> 00:04:17,880 Speaker 1: of evaluations. Well, that would that would absolutely change the thinking. 83 00:04:18,000 --> 00:04:21,320 Speaker 1: But as of today, you know, or maybe we'll find 84 00:04:21,320 --> 00:04:24,880 Speaker 1: out on Monday that thinking hasn't changed. So I'm not 85 00:04:24,920 --> 00:04:27,919 Speaker 1: going to be one of those you know, hoping, hoping, 86 00:04:28,320 --> 00:04:32,120 Speaker 1: pray for, you know, the power to change his mind. Right, 87 00:04:32,160 --> 00:04:34,280 Speaker 1: So you've you've got to listen to what the man 88 00:04:34,400 --> 00:04:37,280 Speaker 1: is saying, right, he's and he's not going to get 89 00:04:37,279 --> 00:04:39,279 Speaker 1: all the data he really needs to make a really 90 00:04:39,320 --> 00:04:43,160 Speaker 1: informed decision until really January, Lyle, you've got a call 91 00:04:43,360 --> 00:04:47,240 Speaker 1: on Mickey Mouse the Walt Disney Company. They made a 92 00:04:47,400 --> 00:04:52,279 Speaker 1: CEO change, shocking change in the CEO. What's you're calling 93 00:04:52,360 --> 00:04:55,600 Speaker 1: the Walt Disney Company? You know, I think Disney is 94 00:04:55,600 --> 00:04:58,640 Speaker 1: a great company for the long term. It's it's one 95 00:04:58,640 --> 00:05:03,200 Speaker 1: of the few stocks I fold, uh intimately, Um, but 96 00:05:03,279 --> 00:05:05,840 Speaker 1: I think you know, Disney is fairly valued. I do 97 00:05:05,960 --> 00:05:09,400 Speaker 1: think there's some upside there. I think that Mr Iger 98 00:05:09,520 --> 00:05:13,480 Speaker 1: I always called him Mr Positivity. He is an absolute 99 00:05:13,560 --> 00:05:18,160 Speaker 1: phenomenal leader. Bob Jacob Speck was clearly not the right 100 00:05:18,240 --> 00:05:20,680 Speaker 1: guy here at this moment in time. And we'll see 101 00:05:20,720 --> 00:05:24,000 Speaker 1: what happens down the road. But uh Iger is going 102 00:05:24,040 --> 00:05:27,040 Speaker 1: to do a great job. But here's the reality is 103 00:05:27,120 --> 00:05:30,039 Speaker 1: as great as is it's going to take some time 104 00:05:30,080 --> 00:05:33,159 Speaker 1: for him to you know, turn the battleship around. It's 105 00:05:33,160 --> 00:05:36,160 Speaker 1: not going to happen overnight. He will turn around. It's 106 00:05:36,240 --> 00:05:38,960 Speaker 1: just amount of time. Right now. The valuation on Disney 107 00:05:39,360 --> 00:05:43,320 Speaker 1: is fair. Canna go up to one ten, one tw absolutely, 108 00:05:43,440 --> 00:05:47,600 Speaker 1: I think eventually gets there. They've got the world's largest library, 109 00:05:47,640 --> 00:05:51,960 Speaker 1: They've got you know, ESPN and all the other ABC 110 00:05:52,200 --> 00:05:55,359 Speaker 1: and everything else in there in Disney. Plus it's just 111 00:05:55,400 --> 00:05:57,359 Speaker 1: going to take some time. I would not be a 112 00:05:57,400 --> 00:05:59,560 Speaker 1: seller here, and in fact, if we have any type 113 00:05:59,600 --> 00:06:01,760 Speaker 1: of pull back, I'd be a pretty strong barrier of it. 114 00:06:01,880 --> 00:06:03,599 Speaker 1: All right, we're gonna leave it on that note. Listen, 115 00:06:03,600 --> 00:06:05,840 Speaker 1: thank you so much. Disney shares, by the way, they're 116 00:06:05,839 --> 00:06:10,479 Speaker 1: down thirty six percent so far. Here in Lyle Himba, 117 00:06:10,720 --> 00:06:16,440 Speaker 1: partner at Granted Group Advisors, joining us on the phone. 118 00:06:17,800 --> 00:06:21,280 Speaker 1: You might recall a Bloomberg story last month. It was 119 00:06:21,279 --> 00:06:22,960 Speaker 1: a pretty big deal, and I think she and I 120 00:06:23,080 --> 00:06:25,560 Speaker 1: are next guest. We talked about this, and I think 121 00:06:25,560 --> 00:06:27,240 Speaker 1: even Paul you might have been there. It was about 122 00:06:27,320 --> 00:06:31,520 Speaker 1: University of Pennsylvania's warton announcing it's NBA class was the 123 00:06:31,560 --> 00:06:34,040 Speaker 1: first in the programs a hundred and forty year history 124 00:06:34,080 --> 00:06:37,520 Speaker 1: to be majority female, because you just don't see that happen. 125 00:06:37,600 --> 00:06:40,640 Speaker 1: So let's see what Alyssa's sankster has to say. She 126 00:06:40,800 --> 00:06:44,640 Speaker 1: is CEO at Forte Foundation. She joins us on the 127 00:06:44,680 --> 00:06:47,640 Speaker 1: phone on this Friday, ALYSSA, nice to have you here 128 00:06:47,680 --> 00:06:50,520 Speaker 1: with Paul and myself. UM tell us and remind our 129 00:06:50,520 --> 00:06:55,039 Speaker 1: audience exactly what you guys do at Forte Sure, Hi Carol, 130 00:06:55,080 --> 00:06:57,640 Speaker 1: Hi Paul. It's nice to be with you. And we 131 00:06:58,160 --> 00:07:01,520 Speaker 1: are celebrating twenty years this year. Forte Foundation is and 132 00:07:01,600 --> 00:07:05,480 Speaker 1: our goal is to increase opportunities for women in business leadership, 133 00:07:05,520 --> 00:07:08,240 Speaker 1: and we partner with top business schools like the Wharton 134 00:07:08,320 --> 00:07:11,840 Speaker 1: School m among many others. And this year we were 135 00:07:11,880 --> 00:07:14,400 Speaker 1: really excited to see that number and then also that 136 00:07:14,480 --> 00:07:19,280 Speaker 1: about seventeen of our member schools had reached or greater, 137 00:07:19,400 --> 00:07:21,800 Speaker 1: which is also a really significant milestone. And we've been 138 00:07:21,840 --> 00:07:24,600 Speaker 1: following this trend for the twenty years we've been working. 139 00:07:26,080 --> 00:07:30,040 Speaker 1: So UNLESSA, I see you've got your undergraduate degree from 140 00:07:30,080 --> 00:07:32,360 Speaker 1: Texas A and M and proud Aggie and then the 141 00:07:32,480 --> 00:07:35,960 Speaker 1: m b A from the Lowry Mayze School of Business. 142 00:07:36,040 --> 00:07:38,640 Speaker 1: And I know Lowry very well from Clear Channel Communications. 143 00:07:38,680 --> 00:07:42,640 Speaker 1: Great great individual when you see women going into an 144 00:07:42,720 --> 00:07:45,400 Speaker 1: NBA program, what are they looking to do? Is it 145 00:07:45,440 --> 00:07:49,200 Speaker 1: a career change? Is it just I want to better myself? 146 00:07:49,240 --> 00:07:53,160 Speaker 1: And from a career perspective, what do most women look 147 00:07:53,240 --> 00:07:57,080 Speaker 1: for when they go into a business program? Sure, and 148 00:07:57,080 --> 00:08:01,600 Speaker 1: and NBA students generally our career changers, especially in full 149 00:08:01,640 --> 00:08:04,120 Speaker 1: time programs, And so when they make that commitment to 150 00:08:04,160 --> 00:08:07,119 Speaker 1: go back, they really are looking for a different type 151 00:08:07,120 --> 00:08:10,800 Speaker 1: of opportunity. And so women, much like men and women 152 00:08:10,840 --> 00:08:13,240 Speaker 1: going back to NBA programs are also doing that. But 153 00:08:13,640 --> 00:08:16,120 Speaker 1: what we see on the back side of that is 154 00:08:16,120 --> 00:08:19,720 Speaker 1: that women report higher levels of confidence. They feel like 155 00:08:19,760 --> 00:08:23,000 Speaker 1: they're specialists in particular areas. They're able to walk back 156 00:08:23,000 --> 00:08:28,120 Speaker 1: out into the workforce and feel empowered and um respected 157 00:08:28,360 --> 00:08:30,560 Speaker 1: for the degree that they have and for the knowledge 158 00:08:30,600 --> 00:08:32,840 Speaker 1: that they bring to the table. So it really does 159 00:08:32,960 --> 00:08:36,800 Speaker 1: build that confidence and um set them on that trajectory 160 00:08:36,880 --> 00:08:40,720 Speaker 1: towards leadership. And leadership is really where the NBA pathway 161 00:08:41,280 --> 00:08:43,320 Speaker 1: h takes you. Unlus, it sounds so it sounds like, 162 00:08:43,880 --> 00:08:45,400 Speaker 1: you know, like poke pol a little bit. So it 163 00:08:45,400 --> 00:08:47,679 Speaker 1: sounds like men and women both go to get an 164 00:08:47,720 --> 00:08:50,680 Speaker 1: NBA for the same reason. But I do wonder a 165 00:08:50,720 --> 00:08:53,199 Speaker 1: man having an NBA versus a woman having an NBA, 166 00:08:53,320 --> 00:08:55,680 Speaker 1: what's the difference? Does truly an m B A A 167 00:08:55,920 --> 00:08:58,040 Speaker 1: give a woman a huge leg up when it comes 168 00:08:58,040 --> 00:09:03,280 Speaker 1: to climbing the corporate ladder? Um? Well, about six point 169 00:09:03,480 --> 00:09:06,800 Speaker 1: six percent of CEOs or women, and of that six 170 00:09:06,840 --> 00:09:10,280 Speaker 1: point six percent of them have an m B A. 171 00:09:10,640 --> 00:09:13,360 Speaker 1: That statistic is a little bit stronger for the men. 172 00:09:13,440 --> 00:09:16,080 Speaker 1: So if you look at all of the other CEOs um, 173 00:09:16,120 --> 00:09:19,199 Speaker 1: it's you know, closer to So it's clearly a very 174 00:09:19,240 --> 00:09:23,640 Speaker 1: significant pathway leading to that c suite UM. The difference 175 00:09:23,679 --> 00:09:25,880 Speaker 1: between men and women is that when women get that 176 00:09:26,000 --> 00:09:29,280 Speaker 1: m B A it almost levels the playing field versus 177 00:09:29,600 --> 00:09:32,520 Speaker 1: giving them a leg up. And so where you see 178 00:09:32,559 --> 00:09:36,640 Speaker 1: women walking into a room to talk about business with 179 00:09:37,280 --> 00:09:40,559 Speaker 1: other men, if they don't have that NBA, their competence 180 00:09:40,640 --> 00:09:43,480 Speaker 1: level can sometimes not be as strong, and then they're 181 00:09:43,480 --> 00:09:45,559 Speaker 1: not feeling like they are contributing it the same way. 182 00:09:45,640 --> 00:09:47,720 Speaker 1: So I think it's more of a leveling the playing 183 00:09:47,760 --> 00:09:50,920 Speaker 1: field than it is um necessarily giving them a leg up. 184 00:09:51,559 --> 00:09:55,400 Speaker 1: And listen, I serve on the Fuqua School of Business 185 00:09:55,520 --> 00:09:57,760 Speaker 1: at Duke University on their board of Visitors and and 186 00:09:57,760 --> 00:10:00,920 Speaker 1: and it seems that at Duke there's a real focus 187 00:10:01,000 --> 00:10:06,160 Speaker 1: on attracting UH a diverse class into their business school. 188 00:10:06,480 --> 00:10:09,800 Speaker 1: Is that typical of some of the leading schools out there? 189 00:10:09,800 --> 00:10:12,920 Speaker 1: Do you find? Yes? I think that the schools we 190 00:10:13,000 --> 00:10:15,800 Speaker 1: work with UM, you know, gender equity has been very 191 00:10:15,880 --> 00:10:18,320 Speaker 1: much a focus UM. But at the same time they 192 00:10:18,320 --> 00:10:21,840 Speaker 1: are very interested in the intersection of race and gender 193 00:10:21,880 --> 00:10:26,040 Speaker 1: and making sure that UM that their their student body 194 00:10:26,080 --> 00:10:29,679 Speaker 1: is diverse. We do a lot of work around UH 195 00:10:29,880 --> 00:10:33,000 Speaker 1: female protagonists in case studies. They're they're looking at how 196 00:10:33,040 --> 00:10:36,680 Speaker 1: they teach the students, how many faculty members are diverse. 197 00:10:36,720 --> 00:10:39,880 Speaker 1: They're trying to create a diverse student profile. But they're 198 00:10:39,920 --> 00:10:42,400 Speaker 1: also looking at many other dimensions and how they deliver 199 00:10:42,480 --> 00:10:45,959 Speaker 1: business education. And that's because companies want that as well. 200 00:10:46,000 --> 00:10:48,000 Speaker 1: And the companies are saying to the business schools, we 201 00:10:48,040 --> 00:10:51,360 Speaker 1: want diversity in our pipeline, and we we need your 202 00:10:51,400 --> 00:10:54,160 Speaker 1: help and your partnership to create that diverse pipeline to 203 00:10:54,240 --> 00:10:57,640 Speaker 1: schools and businesses hand to hand, Alyssa, And forgive my sarcasm, 204 00:10:57,640 --> 00:10:59,600 Speaker 1: but I do feel like I had this conversation ten 205 00:10:59,679 --> 00:11:02,520 Speaker 1: years go, twenty years ago. I know it sometimes gets 206 00:11:02,559 --> 00:11:04,079 Speaker 1: better and all of a sudden, we see more women 207 00:11:04,320 --> 00:11:06,400 Speaker 1: who are CEOs, and then those numbers dwind alls. So 208 00:11:07,080 --> 00:11:10,000 Speaker 1: I and I get building out the pipeline. But what 209 00:11:10,200 --> 00:11:14,280 Speaker 1: is the real problem in terms of more women penetrating 210 00:11:14,520 --> 00:11:18,800 Speaker 1: really the C suite? If you will, Yeah, I think 211 00:11:18,840 --> 00:11:21,320 Speaker 1: it's um gosh, you know, I wish I had a 212 00:11:21,320 --> 00:11:24,440 Speaker 1: silver bullet. UM. It really has been this layered onion 213 00:11:24,480 --> 00:11:27,760 Speaker 1: approach more that we've seen, and you know, the pipeline 214 00:11:27,800 --> 00:11:29,920 Speaker 1: getting more as many women in business school as there 215 00:11:29,960 --> 00:11:32,520 Speaker 1: were in law in medicine. I think that's healthy. I 216 00:11:32,559 --> 00:11:38,319 Speaker 1: think though, when companies bring an onboard these classes of employees, 217 00:11:38,320 --> 00:11:41,320 Speaker 1: they've got to really think about monitoring and watching and 218 00:11:41,400 --> 00:11:45,800 Speaker 1: closely UM investing in all populations and making sure they 219 00:11:45,800 --> 00:11:48,720 Speaker 1: have the same access and they have the same mentors 220 00:11:48,760 --> 00:11:52,440 Speaker 1: and sponsors. And so that's hard work. I mean, that's 221 00:11:52,480 --> 00:11:55,280 Speaker 1: every single day you have to be thinking intentionally about 222 00:11:55,280 --> 00:11:59,000 Speaker 1: how you're advancing employees into these leadership ranks. And if 223 00:11:59,000 --> 00:12:00,800 Speaker 1: you're not doing it care fully, and if you're not 224 00:12:01,320 --> 00:12:05,200 Speaker 1: UM monitoring it and looking at metrics and making sure 225 00:12:05,240 --> 00:12:08,480 Speaker 1: that you push those metrics UM, then you're not going 226 00:12:08,559 --> 00:12:11,480 Speaker 1: to see success UM. And it really is about access 227 00:12:11,480 --> 00:12:13,920 Speaker 1: and opportunity, because you can't go to the C suite 228 00:12:13,960 --> 00:12:18,760 Speaker 1: if somebody hasn't pulled you forward into those leadership UM ranks. 229 00:12:18,800 --> 00:12:21,720 Speaker 1: So it's it's hard work and there's always something more 230 00:12:21,760 --> 00:12:24,840 Speaker 1: to be done. But I am encouraged because when I started, 231 00:12:24,920 --> 00:12:28,000 Speaker 1: there were zero CEOs. Now there's at least close to 232 00:12:28,040 --> 00:12:32,960 Speaker 1: seven women's CEO. Hey, hey, listen, how did this all 233 00:12:33,000 --> 00:12:35,360 Speaker 1: play out during the pandemic? Were there any meaningful changes 234 00:12:35,360 --> 00:12:40,200 Speaker 1: in the trends of women in NBA programs? Um? No, 235 00:12:40,360 --> 00:12:43,360 Speaker 1: I mean, I think the enrollment in NBA programs is 236 00:12:43,840 --> 00:12:46,960 Speaker 1: watches the markets, and it it goes. When economy is strong, 237 00:12:47,120 --> 00:12:50,080 Speaker 1: you see more UM students staying in the economy, and 238 00:12:50,080 --> 00:12:52,160 Speaker 1: when the economy weakens a little bit, you see more 239 00:12:52,200 --> 00:12:55,079 Speaker 1: students going back to get their NBA women held their own. 240 00:12:55,160 --> 00:12:58,480 Speaker 1: They really stayed consistent in terms of their percentages. I 241 00:12:58,520 --> 00:13:01,280 Speaker 1: think in NBA enrollment to dipped a little bit this 242 00:13:01,360 --> 00:13:05,040 Speaker 1: year over the pandemic, they were quite strong, UM, and 243 00:13:05,080 --> 00:13:08,120 Speaker 1: so we're seeing the women are retaining that percentage that 244 00:13:08,160 --> 00:13:11,840 Speaker 1: they've always had. All right, UM, I think we're gonna 245 00:13:11,880 --> 00:13:14,640 Speaker 1: leave it at that. Really appreciate your time, Alyssa. Thank 246 00:13:14,679 --> 00:13:17,480 Speaker 1: you so much. Have a great holiday season. Alyssa Sankster, 247 00:13:17,640 --> 00:13:20,880 Speaker 1: she's CEO at Forte Foundation, joining us on the on 248 00:13:20,880 --> 00:13:27,880 Speaker 1: this Friday. I may drive past the Short Hills mal tonight, 249 00:13:28,040 --> 00:13:30,760 Speaker 1: but that's as bad as close as it's a full 250 00:13:30,760 --> 00:13:33,040 Speaker 1: contact sport in the parking lot there. Man, you have 251 00:13:33,120 --> 00:13:36,160 Speaker 1: to be really aggressive to get a spot. I guess 252 00:13:36,160 --> 00:13:39,640 Speaker 1: it's a good thing for the retailers inside they do, 253 00:13:39,720 --> 00:13:41,760 Speaker 1: but I don't do that. I'm a man at the 254 00:13:41,760 --> 00:13:44,680 Speaker 1: people here. UM put them Coyle. She covers all that 255 00:13:44,720 --> 00:13:47,079 Speaker 1: retail stuff for Bloomberg Intelligence. She's been doing that for 256 00:13:47,120 --> 00:13:50,520 Speaker 1: a long time. She's seen her share of black Fridays. 257 00:13:51,160 --> 00:13:54,440 Speaker 1: Where are you now in the great state of New Jersey? Putament, 258 00:13:54,480 --> 00:13:56,719 Speaker 1: what are you seeing? I am on my way to 259 00:13:56,800 --> 00:13:59,360 Speaker 1: Dick Sporting Goods. Um, it's crowded. You know. We have 260 00:13:59,400 --> 00:14:03,520 Speaker 1: analysts out on the West coast in Massachusetts. Um. In Chicago, 261 00:14:03,840 --> 00:14:08,400 Speaker 1: it is crowded and it is only getting more crowded. Um, 262 00:14:08,440 --> 00:14:10,200 Speaker 1: it's it's boss flowing down. I mean, you know, we 263 00:14:10,280 --> 00:14:13,280 Speaker 1: came into the season thinking that sales would be a little, 264 00:14:13,320 --> 00:14:16,200 Speaker 1: a little muted. If this day is proof of anything, 265 00:14:16,240 --> 00:14:19,000 Speaker 1: it's that people are spending I gotta tell you, Pam, 266 00:14:19,080 --> 00:14:20,520 Speaker 1: I like to do Twitter polls, and I said, are 267 00:14:20,560 --> 00:14:23,000 Speaker 1: you shopping at stores this Black Friday? It's been out 268 00:14:23,040 --> 00:14:26,240 Speaker 1: there for about three hours this Paul fifteen, almost six 269 00:14:26,840 --> 00:14:30,680 Speaker 1: say yes, they're out shopping at stores. Six said no, 270 00:14:32,240 --> 00:14:35,360 Speaker 1: said yes, but they're shopping online today, So I don't know. 271 00:14:35,520 --> 00:14:38,040 Speaker 1: Maybe my poll is just people are just sitting at 272 00:14:38,040 --> 00:14:40,200 Speaker 1: home listening to us, so that's why they're not out shopping. 273 00:14:40,200 --> 00:14:42,400 Speaker 1: But it sounds like you and your team are really 274 00:14:42,440 --> 00:14:45,400 Speaker 1: surprised by the people coming back to the stores. And 275 00:14:45,440 --> 00:14:47,720 Speaker 1: the lines are there too, right, so that means they're 276 00:14:47,720 --> 00:14:51,520 Speaker 1: not only just looking at stuff, they're buying. Yeah. No, 277 00:14:51,640 --> 00:14:54,520 Speaker 1: I mean the poles are the poles. But as I 278 00:14:54,560 --> 00:14:58,000 Speaker 1: said earlier, it's really the younger generation. I mean it 279 00:14:58,160 --> 00:15:01,800 Speaker 1: is the team, the teenager is, the millennials. They are 280 00:15:01,880 --> 00:15:04,360 Speaker 1: who aren't in the store. So depending on who took 281 00:15:04,440 --> 00:15:07,520 Speaker 1: that pole. But they're spending. Um, there's lots of shopping 282 00:15:07,520 --> 00:15:10,960 Speaker 1: bags floating around. It's busy and it's just getting busier. 283 00:15:11,360 --> 00:15:13,680 Speaker 1: Put And we were just talking to Daniel di Martino Booth. 284 00:15:13,720 --> 00:15:16,800 Speaker 1: She's the CEO and chief strategist that Quill Intelligence, and 285 00:15:16,840 --> 00:15:19,280 Speaker 1: she was just pointing out that the consumers not as 286 00:15:19,320 --> 00:15:22,920 Speaker 1: strong as maybe we think. The consumer has drawn down savings, 287 00:15:23,320 --> 00:15:26,320 Speaker 1: credit card debt is going up. What are the retail 288 00:15:26,360 --> 00:15:30,000 Speaker 1: companies say about the health of the consumer. You know, 289 00:15:30,000 --> 00:15:32,600 Speaker 1: I'd agree with that. I mean, retailers have been concerned 290 00:15:32,640 --> 00:15:35,680 Speaker 1: for some time that consumers are going to be pinged, 291 00:15:35,720 --> 00:15:38,440 Speaker 1: and that's why their bargain hunting and deal hunting, which 292 00:15:38,480 --> 00:15:42,200 Speaker 1: is maybe why it's so busy today, right because somewhere 293 00:15:42,200 --> 00:15:44,360 Speaker 1: in their minds they know that's the best field they're 294 00:15:44,360 --> 00:15:46,640 Speaker 1: going to occur this weekend. So if they want to 295 00:15:46,640 --> 00:15:48,800 Speaker 1: save money, if they want to get maximized what's on 296 00:15:48,840 --> 00:15:51,040 Speaker 1: their wallets, they need to be out today. They need 297 00:15:51,080 --> 00:15:54,120 Speaker 1: to be buying over this weekend. Yeah, I was thinking 298 00:15:54,120 --> 00:15:56,720 Speaker 1: about I was just looking at Visa uh, and I'm 299 00:15:56,720 --> 00:15:59,040 Speaker 1: going to be interested to see what Visa master card 300 00:15:59,120 --> 00:16:01,840 Speaker 1: all of those folks have to say. No, no, are 301 00:16:01,840 --> 00:16:07,440 Speaker 1: you still there? Punham? Maybe we lost her? Um, she's dropped. Yeah, 302 00:16:07,600 --> 00:16:10,560 Speaker 1: she's out and about and she's checking out she said 303 00:16:10,600 --> 00:16:13,040 Speaker 1: Dick Sporting good which I do think like when it 304 00:16:13,080 --> 00:16:16,640 Speaker 1: comes to shopping around the holidays, sometimes those specialty stores, 305 00:16:16,680 --> 00:16:19,240 Speaker 1: like people have very specific things on their wish lists 306 00:16:19,520 --> 00:16:22,400 Speaker 1: and they tend to do well. Um, I feel like, 307 00:16:22,600 --> 00:16:25,720 Speaker 1: you know, whether it's electronics, whether it's sports, whether it's 308 00:16:25,800 --> 00:16:27,640 Speaker 1: you know, kind of different items like this. Yeah, I 309 00:16:27,680 --> 00:16:29,400 Speaker 1: was interested. I'm gonna be interested to see how this 310 00:16:29,440 --> 00:16:31,280 Speaker 1: all plays out in terms of the retail sales. Because 311 00:16:31,320 --> 00:16:36,440 Speaker 1: you come out of the pandemic and it's all about experiences, traveling. Um, 312 00:16:36,480 --> 00:16:39,320 Speaker 1: you know that kind of thing. But the consumers still 313 00:16:39,360 --> 00:16:41,320 Speaker 1: out there in Strantham and Punam. We we we got you back. 314 00:16:41,320 --> 00:16:43,640 Speaker 1: Thanks so much for joining us again. So when you 315 00:16:43,680 --> 00:16:47,560 Speaker 1: think about a small segment of retail like sporting goods, 316 00:16:48,080 --> 00:16:50,120 Speaker 1: what do you look for? What do analysts look for 317 00:16:50,200 --> 00:16:52,640 Speaker 1: when I go to a sporting goods store and trying 318 00:16:52,640 --> 00:16:55,720 Speaker 1: to get a channel check, I think it's really the 319 00:16:55,800 --> 00:16:58,480 Speaker 1: inventory levels, right, So when you see the shelves, how 320 00:16:58,600 --> 00:17:02,640 Speaker 1: high are they stopped? Are they picked through? Our consumers 321 00:17:02,680 --> 00:17:06,600 Speaker 1: gravitating towards one brand versus another, and then looking across 322 00:17:06,640 --> 00:17:09,320 Speaker 1: the brand, right, is Nike more on sale than Idia does? 323 00:17:09,600 --> 00:17:13,720 Speaker 1: It's a lot more discounted. What are consumers picking after? 324 00:17:13,880 --> 00:17:15,560 Speaker 1: Those are kind of the things that we look for. 325 00:17:15,960 --> 00:17:19,639 Speaker 1: Dick Sporting Goods guys from about mid June it is 326 00:17:19,720 --> 00:17:23,040 Speaker 1: up almost seventy percent, so it has had quite a 327 00:17:23,160 --> 00:17:25,480 Speaker 1: run and quite a rally. Is there something to it? 328 00:17:25,560 --> 00:17:27,959 Speaker 1: You know, we were talking Paula myself put it just 329 00:17:28,000 --> 00:17:31,000 Speaker 1: this whole idea that when it comes to holidays, you know, 330 00:17:31,000 --> 00:17:33,800 Speaker 1: when it's something very special or specialty store, I feel 331 00:17:33,800 --> 00:17:36,040 Speaker 1: like those are the things that tend to show up 332 00:17:36,080 --> 00:17:38,600 Speaker 1: on wish lists. Um, and I wonder if that's the 333 00:17:38,640 --> 00:17:40,439 Speaker 1: case when you look at retail and what tends to 334 00:17:40,480 --> 00:17:42,800 Speaker 1: do better? Is it? Is it those firms and those 335 00:17:42,840 --> 00:17:45,800 Speaker 1: companies and those retailers that have something very special and 336 00:17:45,880 --> 00:17:49,160 Speaker 1: unique to offer. Yeah, I think it's value or it's 337 00:17:49,160 --> 00:17:51,720 Speaker 1: something very special and very special. The only name that 338 00:17:51,760 --> 00:17:53,960 Speaker 1: comes to mind really is that See. I think that's 339 00:17:53,960 --> 00:17:56,200 Speaker 1: where at he's been driving all year and they will 340 00:17:56,240 --> 00:18:00,040 Speaker 1: continue to because they truly offer differentiated products, customer and 341 00:18:00,160 --> 00:18:03,280 Speaker 1: more personalized products. And put when we talk to retail 342 00:18:03,320 --> 00:18:06,679 Speaker 1: experts like yourself, you know, a topic that comes up 343 00:18:06,720 --> 00:18:10,920 Speaker 1: as kind of the US being overstored. There's still too 344 00:18:10,920 --> 00:18:14,399 Speaker 1: many stores for the demand out there. But this is 345 00:18:14,400 --> 00:18:16,960 Speaker 1: an issue we've been talking about for years and years. 346 00:18:17,680 --> 00:18:20,840 Speaker 1: Where are we now in terms of the industry, and 347 00:18:20,880 --> 00:18:24,760 Speaker 1: it's it's it's retail footprint. I think there still are 348 00:18:24,920 --> 00:18:26,919 Speaker 1: too many stores, and I think you will continue to 349 00:18:26,960 --> 00:18:29,959 Speaker 1: see see store consolidation. But then there are stores that 350 00:18:30,000 --> 00:18:33,000 Speaker 1: need to expand. To write, whether it's the off price retailer, 351 00:18:33,080 --> 00:18:35,240 Speaker 1: there's some of the growth groups where some of the 352 00:18:35,400 --> 00:18:38,760 Speaker 1: international retailers, they're trying to gain presence here, whether it's 353 00:18:38,760 --> 00:18:41,240 Speaker 1: like a Prime Mark which is a value oriented retailer, 354 00:18:41,880 --> 00:18:44,160 Speaker 1: or um some of the brands that are just looking 355 00:18:44,160 --> 00:18:46,480 Speaker 1: to open up some retail out with but they're all 356 00:18:46,560 --> 00:18:50,639 Speaker 1: looking in the same space. They're all looking at area, 357 00:18:50,720 --> 00:18:53,080 Speaker 1: so you know, the shorthills mall and malls like the 358 00:18:53,080 --> 00:18:55,720 Speaker 1: Garden State Plausa. It's hard to still find real estates 359 00:18:55,760 --> 00:18:58,520 Speaker 1: there because that's where people want to be. You know, 360 00:18:58,520 --> 00:19:00,520 Speaker 1: it's interesting. I was looking at Etsy to you like there. 361 00:19:00,520 --> 00:19:02,200 Speaker 1: I guess it was like around mid June there a 362 00:19:02,240 --> 00:19:04,440 Speaker 1: lot of retailers kind of bottomed out, or at least 363 00:19:04,440 --> 00:19:07,560 Speaker 1: a recent bottom. It is up sevent since. Made you 364 00:19:07,760 --> 00:19:11,040 Speaker 1: like that is pretty remarkable. Um. I was thinking about 365 00:19:11,359 --> 00:19:14,000 Speaker 1: so many stories put them coming into Black Friday that 366 00:19:14,040 --> 00:19:16,320 Speaker 1: we said, you know, maybe tempered demand, maybe it's not 367 00:19:16,320 --> 00:19:19,159 Speaker 1: going to be as optimism. Are you getting ready to 368 00:19:19,240 --> 00:19:21,400 Speaker 1: kind of rethink your research based on what you're seeing 369 00:19:21,400 --> 00:19:24,280 Speaker 1: and what you're hearing from the team. What we see 370 00:19:24,320 --> 00:19:28,160 Speaker 1: today is that it's Black Friday is back in motion. 371 00:19:28,359 --> 00:19:31,480 Speaker 1: People are shopping, people are spending. It doesn't look muted 372 00:19:31,560 --> 00:19:34,119 Speaker 1: to me by any means, but you know, there's a 373 00:19:34,160 --> 00:19:37,399 Speaker 1: lot of holiday shopping still to go. This weekend is 374 00:19:37,480 --> 00:19:40,400 Speaker 1: just the beginning. So if everyone has shopped this weekend 375 00:19:40,400 --> 00:19:42,840 Speaker 1: and they don't go back out over the next three weeks, 376 00:19:43,040 --> 00:19:46,280 Speaker 1: then holiday sales could still come in at the estimates 377 00:19:46,320 --> 00:19:49,600 Speaker 1: that we've seen around which are normalized to be four 378 00:19:49,640 --> 00:19:52,560 Speaker 1: to eight percent growth. So it really the beginning is 379 00:19:52,600 --> 00:19:54,600 Speaker 1: off to a great start, but we need to see 380 00:19:54,600 --> 00:19:57,000 Speaker 1: if that momentum continues for the next three weeks because 381 00:19:57,000 --> 00:19:59,199 Speaker 1: the bulk of holiday shopping still lies ahead of us, 382 00:19:59,240 --> 00:20:01,439 Speaker 1: especially as bill's are to come in. It's like, okay, 383 00:20:01,480 --> 00:20:03,920 Speaker 1: well that we needed to hey, put them. I'm not 384 00:20:03,960 --> 00:20:07,040 Speaker 1: sure if you've spoken to your counterpart in London, Charles Allen, 385 00:20:07,040 --> 00:20:10,560 Speaker 1: who covers retail for Bloomberg Intelligence. What's the expectation for 386 00:20:10,760 --> 00:20:13,080 Speaker 1: good friends over there in England or maybe just you're 387 00:20:13,240 --> 00:20:17,560 Speaker 1: broadly defined. I have not spoken to my London London counterproducts. 388 00:20:17,600 --> 00:20:19,760 Speaker 1: I have spoken of people on the West Coast and 389 00:20:19,840 --> 00:20:22,320 Speaker 1: they're seeing the same trend. We have an analyst at 390 00:20:22,320 --> 00:20:24,400 Speaker 1: in the malls there and it's busy. It's the same 391 00:20:24,480 --> 00:20:26,919 Speaker 1: stores that are seeing the traffic. Where do you go 392 00:20:27,080 --> 00:20:29,600 Speaker 1: from here? And we've you've been so great talking to 393 00:20:29,680 --> 00:20:31,240 Speaker 1: us at the top of each hour. You know, you 394 00:20:31,359 --> 00:20:35,119 Speaker 1: started off at the Freehold Freehold Mall, mall? Excuse me, 395 00:20:35,160 --> 00:20:37,160 Speaker 1: you went to Coals, You're off to Dicks. Where else 396 00:20:37,160 --> 00:20:39,800 Speaker 1: are you going to go check out? Today? So there's 397 00:20:39,840 --> 00:20:42,280 Speaker 1: another smaller mall, and I do want to go check 398 00:20:42,280 --> 00:20:45,679 Speaker 1: out the off price retailers which are in Black Friday destination, 399 00:20:45,840 --> 00:20:47,600 Speaker 1: but they do offer a lot of value to see 400 00:20:47,600 --> 00:20:49,680 Speaker 1: if traffic picks up. It usually picks up later in 401 00:20:49,720 --> 00:20:51,560 Speaker 1: the day. They're at the tv xs of the world. 402 00:20:52,040 --> 00:20:54,040 Speaker 1: But um, and then maybe take another trip back to 403 00:20:54,080 --> 00:20:56,720 Speaker 1: the mall to see does it get busier or is 404 00:20:56,720 --> 00:20:58,679 Speaker 1: it just you know through three four o'clock and then 405 00:20:58,680 --> 00:21:01,520 Speaker 1: the mall is kind of normalized it all right? Well, 406 00:21:01,560 --> 00:21:03,160 Speaker 1: you know, maybe I'll go out and if you want, 407 00:21:03,160 --> 00:21:05,360 Speaker 1: I'll go to shorth Host Mall for you and report back. 408 00:21:05,400 --> 00:21:06,840 Speaker 1: But that would you don't have to pay me a lot, 409 00:21:07,400 --> 00:21:09,399 Speaker 1: get a drive by. He's already said it. Yeah, I 410 00:21:09,400 --> 00:21:11,320 Speaker 1: think I might just drive by and I'll take a 411 00:21:11,320 --> 00:21:14,520 Speaker 1: picture of the parking lot and send it to you. Uh, Danielle, sorry, 412 00:21:14,520 --> 00:21:16,720 Speaker 1: but put him Goyle, thanks so much for joining us 413 00:21:16,840 --> 00:21:18,919 Speaker 1: again at the top of the hour giving us the 414 00:21:19,000 --> 00:21:21,480 Speaker 1: latest on what's going on in Black Friday, and put him. 415 00:21:21,480 --> 00:21:27,680 Speaker 1: Goyle covers all that retail stuff for Bloomberg Intelligence. So 416 00:21:27,800 --> 00:21:32,320 Speaker 1: it just seems like every FED president speaks all the time. 417 00:21:32,480 --> 00:21:34,159 Speaker 1: Has that always been the case? It just seems like 418 00:21:34,200 --> 00:21:37,000 Speaker 1: more and more every time we turn around when they're 419 00:21:37,000 --> 00:21:40,239 Speaker 1: not in the quiet period, we're hearing from a FED Now. 420 00:21:40,440 --> 00:21:42,560 Speaker 1: I guess it's Yeah, the only person I care about 421 00:21:42,600 --> 00:21:44,119 Speaker 1: is a j pal, and I guess we're gonna hear 422 00:21:44,119 --> 00:21:46,080 Speaker 1: from him next week. And so when I want to 423 00:21:46,080 --> 00:21:48,359 Speaker 1: get a sense on what's going on at the FED 424 00:21:48,520 --> 00:21:52,520 Speaker 1: and on the economy, large return to Danielle di Martino Booth. 425 00:21:52,600 --> 00:21:56,840 Speaker 1: She's the CEO and chief strategist that Quill Intelligence, former 426 00:21:56,840 --> 00:22:00,119 Speaker 1: advisor at the Federal Reserve Bank of Dallas. She's or 427 00:22:00,160 --> 00:22:02,879 Speaker 1: go to voice on this stuff. So, Danielle, what is 428 00:22:02,920 --> 00:22:06,719 Speaker 1: my FED chairman going to tell me next week? Uh? 429 00:22:07,040 --> 00:22:09,680 Speaker 1: I think, I think if that chair Um come Wednesday 430 00:22:09,880 --> 00:22:14,280 Speaker 1: is going to be resolute, even though reading through those 431 00:22:14,320 --> 00:22:19,720 Speaker 1: minutes on Wednesday it revealed that he is increasingly alone 432 00:22:20,119 --> 00:22:23,280 Speaker 1: in standing up against the doves. Um. By the way, 433 00:22:23,280 --> 00:22:25,919 Speaker 1: it is Friday, so I've got the Some people have 434 00:22:26,000 --> 00:22:28,560 Speaker 1: the clock running down to New Year's Eve. I've got 435 00:22:28,560 --> 00:22:31,240 Speaker 1: the clock running down to blackout, which is seven days 436 00:22:31,240 --> 00:22:35,240 Speaker 1: from now, which is when those set officials. Now, that's 437 00:22:35,240 --> 00:22:37,480 Speaker 1: a really good point, Um. And it did feel like 438 00:22:37,520 --> 00:22:40,280 Speaker 1: the minutes, you know, even though they were a few 439 00:22:40,320 --> 00:22:42,880 Speaker 1: weeks old, at this point, there was something almost for 440 00:22:43,000 --> 00:22:47,680 Speaker 1: everyone Danielle and that maybe we'll see smaller increases by 441 00:22:47,720 --> 00:22:50,760 Speaker 1: the f O m C, but still we're talking about 442 00:22:50,760 --> 00:22:54,320 Speaker 1: a higher ultimate Fed funds rate. UM, So it did 443 00:22:54,400 --> 00:22:56,680 Speaker 1: feel like there was something for everyone. What could J 444 00:22:56,840 --> 00:22:59,880 Speaker 1: Powell say when he addresses the Brookings Institution in wash 445 00:23:00,080 --> 00:23:02,240 Speaker 1: Ington on Wednesday. He's going to talk economy, is going 446 00:23:02,280 --> 00:23:04,000 Speaker 1: to talk about the labor market, He's going to take 447 00:23:04,080 --> 00:23:07,600 Speaker 1: audience questions, brave man. What could he say that could 448 00:23:07,680 --> 00:23:12,280 Speaker 1: change the thinking about Fed policy? I think as long 449 00:23:12,320 --> 00:23:16,399 Speaker 1: as J. Powell sticks to his narrative that you know, 450 00:23:16,480 --> 00:23:20,679 Speaker 1: going from to fifty is still unusually large. Right, we 451 00:23:20,680 --> 00:23:24,399 Speaker 1: didn't have fifty until before this there were still at 452 00:23:24,400 --> 00:23:28,240 Speaker 1: twice the magnitude, and that and that he sees nothing 453 00:23:28,600 --> 00:23:31,719 Speaker 1: on the immediate horizon that suggests that the FED has 454 00:23:31,760 --> 00:23:35,200 Speaker 1: achieved returning to two percent, meaning we're not accustomed to 455 00:23:35,240 --> 00:23:37,960 Speaker 1: the FED bringing the FED funds rate up and keeping 456 00:23:38,000 --> 00:23:41,280 Speaker 1: it there. And I think he's going to re emphasize 457 00:23:41,760 --> 00:23:45,400 Speaker 1: his idea of until the job is done, and that 458 00:23:45,560 --> 00:23:47,080 Speaker 1: is going to fly in the face of those who 459 00:23:47,080 --> 00:23:51,080 Speaker 1: are expecting some kind of easing in the near term. 460 00:23:51,080 --> 00:23:52,960 Speaker 1: I say near term meaning six to nine months. I 461 00:23:52,960 --> 00:23:56,480 Speaker 1: think he's going to refute that idea. So the Bolk 462 00:23:56,480 --> 00:23:59,720 Speaker 1: case out there for risk assets, I guess Daniel is 463 00:23:59,760 --> 00:24:03,200 Speaker 1: particated to some degree that, Hey, the FED has already 464 00:24:03,280 --> 00:24:06,600 Speaker 1: raised the interest rates pretty substantially and lo and behold, 465 00:24:06,680 --> 00:24:08,760 Speaker 1: it's actually working. Whether you look at the housing market 466 00:24:08,760 --> 00:24:10,840 Speaker 1: and maybe look at some of the commodity prices rolling 467 00:24:10,880 --> 00:24:15,560 Speaker 1: over that a pause is a reasonable thing. But you're 468 00:24:15,600 --> 00:24:19,800 Speaker 1: suggesting that's not where our FED chairman is. It's not 469 00:24:19,840 --> 00:24:21,399 Speaker 1: that he doesn't remember he's the lawyer. He's not a 470 00:24:21,400 --> 00:24:25,160 Speaker 1: PhD in economics. He follows the real time data, probably 471 00:24:25,200 --> 00:24:29,160 Speaker 1: more closely than a PhD in economics who would follow 472 00:24:29,200 --> 00:24:32,840 Speaker 1: only seconally adjusted long data series. He knows what's happening 473 00:24:32,920 --> 00:24:35,680 Speaker 1: in the in the in the market, but again, financial 474 00:24:35,720 --> 00:24:40,120 Speaker 1: conditions remain very loose historically speaking, and I think that 475 00:24:40,119 --> 00:24:42,520 Speaker 1: that is more of his target, is trying to flush 476 00:24:42,520 --> 00:24:45,720 Speaker 1: out this whole speculative nature that we've had in the 477 00:24:45,720 --> 00:24:49,280 Speaker 1: markets for the last forty years. If his I've been maintaining, 478 00:24:49,280 --> 00:24:52,600 Speaker 1: he's got a grander plan. He's trying to put monetary 479 00:24:52,640 --> 00:24:56,359 Speaker 1: policy making back in the hands of the people. The 480 00:24:56,520 --> 00:24:59,639 Speaker 1: officials at the Federal Reserve as opposed to the market 481 00:24:59,720 --> 00:25:03,080 Speaker 1: make monetary policy on behalf of the Fed the tail 482 00:25:03,119 --> 00:25:05,879 Speaker 1: wagging the dog. But it is hard for to be 483 00:25:05,960 --> 00:25:09,080 Speaker 1: fair for the Fed. It feels like Danielle, especially when 484 00:25:09,080 --> 00:25:11,480 Speaker 1: you do whether it's the pandemic that causes all of 485 00:25:11,520 --> 00:25:14,600 Speaker 1: a sudden precedented stimulus to be out there. Uh, you know, 486 00:25:14,640 --> 00:25:17,240 Speaker 1: we constantly see when we run into trouble that it 487 00:25:17,280 --> 00:25:20,639 Speaker 1: does feel like lawmakers UM in Washington are quick to 488 00:25:20,720 --> 00:25:22,239 Speaker 1: kind of help out and lend a hand, and that 489 00:25:22,280 --> 00:25:25,440 Speaker 1: create changes kind of the liquidity story and does make 490 00:25:25,480 --> 00:25:29,879 Speaker 1: it trickier for the FED. It does, UM and you know, 491 00:25:30,119 --> 00:25:32,280 Speaker 1: to the point of some St. Louis Fed research. You know, 492 00:25:32,320 --> 00:25:36,000 Speaker 1: we injected forty three of g d P into the 493 00:25:36,040 --> 00:25:38,840 Speaker 1: economy inside of twelve months. You know that compares to 494 00:25:38,840 --> 00:25:42,840 Speaker 1: that the entire New Dealer forty fort of GDP. It 495 00:25:42,880 --> 00:25:44,560 Speaker 1: does make it more difficult, but we have to remember 496 00:25:44,560 --> 00:25:47,000 Speaker 1: that they monetized every last penny of that. So the 497 00:25:47,040 --> 00:25:49,920 Speaker 1: Fed played the role of enabler um. By the way, 498 00:25:49,920 --> 00:25:52,000 Speaker 1: I don't think you get that out of this next congress. 499 00:25:52,040 --> 00:25:54,800 Speaker 1: I don't think you get the same form of stimulus 500 00:25:55,160 --> 00:25:58,480 Speaker 1: as we as there's a greater recognition of recession. Eight 501 00:25:58,480 --> 00:26:01,640 Speaker 1: weeks ago, we had one stay with rising unemployment state 502 00:26:01,880 --> 00:26:05,280 Speaker 1: initial unemployment claims. As of the nineteenth Wednesday's report, we 503 00:26:05,320 --> 00:26:09,440 Speaker 1: have twenty nine states with rising initial state unemployment claims. 504 00:26:09,440 --> 00:26:11,480 Speaker 1: But that's a real shift. That's kind of where I 505 00:26:11,520 --> 00:26:13,120 Speaker 1: want to go, Danielle, because we're gonna get a jobs 506 00:26:13,200 --> 00:26:17,320 Speaker 1: numbered next week. But we've got record low unemployment. We've 507 00:26:17,359 --> 00:26:21,040 Speaker 1: been hearing from our retail analyst on the top of 508 00:26:21,080 --> 00:26:23,280 Speaker 1: every hour, here is out at the shopping malls. People 509 00:26:23,280 --> 00:26:25,960 Speaker 1: are out there shopping. It seems like we've got a 510 00:26:25,960 --> 00:26:29,480 Speaker 1: pretty strong consumer judging. If nothing else everybody's kind of 511 00:26:29,480 --> 00:26:33,439 Speaker 1: got a job, well, but everybody doesn't kind of have 512 00:26:33,480 --> 00:26:37,119 Speaker 1: a job. If if if jobless claims were down forty 513 00:26:37,200 --> 00:26:39,520 Speaker 1: eight point nine percent, that was the best that it 514 00:26:39,600 --> 00:26:41,560 Speaker 1: was right down as good jobless claims down, you over 515 00:26:41,600 --> 00:26:45,479 Speaker 1: your nationwide As of September, as of the nineteenth, jobless 516 00:26:45,480 --> 00:26:48,359 Speaker 1: claims were only down two point zero percent. In other words, 517 00:26:48,560 --> 00:26:51,320 Speaker 1: the time we get Thursday's print, this next Thursday's print, 518 00:26:51,520 --> 00:26:54,800 Speaker 1: jobless claims nationwide are going to be rising year over year. 519 00:26:55,200 --> 00:26:59,520 Speaker 1: That's why I think high high income consumers in University 520 00:26:59,560 --> 00:27:02,000 Speaker 1: of Michigan data are telling you that they expect the 521 00:27:02,080 --> 00:27:05,920 Speaker 1: unemployment rate to rise as opposed to that middle here 522 00:27:05,960 --> 00:27:08,639 Speaker 1: and the lowest tier. They don't see it coming yet, 523 00:27:09,400 --> 00:27:11,880 Speaker 1: so do you. We go as far as to say 524 00:27:11,880 --> 00:27:13,560 Speaker 1: that FED policy it is working. We see it in 525 00:27:13,560 --> 00:27:15,280 Speaker 1: the housing market. And I agree with you that last 526 00:27:15,320 --> 00:27:19,399 Speaker 1: weekly jobless print showed, you know that things are starting 527 00:27:19,440 --> 00:27:21,280 Speaker 1: to slow down in the labor market. We still have 528 00:27:21,359 --> 00:27:23,639 Speaker 1: ways to go. And you know, we certainly saw in 529 00:27:23,680 --> 00:27:26,760 Speaker 1: the FOMC minutes to you know, FED staff warning of 530 00:27:26,800 --> 00:27:30,240 Speaker 1: a chance of recession in next year's now near fifty percent. 531 00:27:30,440 --> 00:27:35,800 Speaker 1: So FED policy is working. Oh, it absolutely is. I mean, 532 00:27:35,840 --> 00:27:39,560 Speaker 1: obviously you see it most in interest rate sensitive sectors. 533 00:27:39,720 --> 00:27:41,639 Speaker 1: But for heaven's sake, I was I was just telling 534 00:27:41,640 --> 00:27:46,879 Speaker 1: a friend we had a furniture Manufacturerloyees announced that they 535 00:27:46,880 --> 00:27:50,080 Speaker 1: were closing, like shutting up shop. We're not talking young 536 00:27:50,119 --> 00:27:54,359 Speaker 1: furniture manufacturer in Mississippi. Let's go on Tuesday period end. 537 00:27:54,760 --> 00:27:57,639 Speaker 1: There will be ripple effects into the economy from this 538 00:27:58,440 --> 00:28:01,399 Speaker 1: slamming the brakes on the housing market. It's not just 539 00:28:01,440 --> 00:28:04,479 Speaker 1: going to be contained mortgage lenders. It's going to have 540 00:28:04,840 --> 00:28:08,359 Speaker 1: broader economic rammifications. And we're beginning to see that. I 541 00:28:08,400 --> 00:28:10,919 Speaker 1: suspect we'll see a lull in layoff activity in the 542 00:28:10,920 --> 00:28:13,280 Speaker 1: month of December, because who wants to lay people off 543 00:28:13,359 --> 00:28:16,440 Speaker 1: right in front of the holidays? And then we get January, 544 00:28:16,520 --> 00:28:19,040 Speaker 1: and then we get January, and it's gonna hurt. Hey, Danielle, 545 00:28:19,040 --> 00:28:21,080 Speaker 1: you're in When I think of one of the most 546 00:28:21,160 --> 00:28:24,359 Speaker 1: vibrant markets in the United States, Dallas Fort Worth area, 547 00:28:24,400 --> 00:28:28,639 Speaker 1: that metroplex down there, how's the economy down there? Well, 548 00:28:29,200 --> 00:28:33,960 Speaker 1: the economy down here is still relatively strong. If you 549 00:28:34,000 --> 00:28:37,320 Speaker 1: look at the nation as a whole. Um Texas unemployment claims, 550 00:28:37,320 --> 00:28:40,479 Speaker 1: you're still down four. So we're just on the cusp 551 00:28:40,840 --> 00:28:43,840 Speaker 1: of starting to enter recession in Texas. It has certainly 552 00:28:43,880 --> 00:28:48,160 Speaker 1: been delayed because of the mass um migration here to 553 00:28:48,320 --> 00:28:52,600 Speaker 1: these markets, but even here you're seeing homebuilders put incentives 554 00:28:52,600 --> 00:28:55,640 Speaker 1: out there, cut home prices and not gain any traction. 555 00:28:56,360 --> 00:29:00,720 Speaker 1: And that tells you something about basically, if you follow 556 00:29:00,760 --> 00:29:04,440 Speaker 1: the entrails of consumer confidence, there's now a recognition. And 557 00:29:04,480 --> 00:29:07,320 Speaker 1: I think that that's what's critical is nationwide people have 558 00:29:07,400 --> 00:29:09,920 Speaker 1: recognized that we're going into recessions. This isn't just a 559 00:29:10,000 --> 00:29:14,200 Speaker 1: CEO survey. This is a broader recognition among the public 560 00:29:14,560 --> 00:29:16,719 Speaker 1: and that's a game change. Or whenever in any cycle, 561 00:29:16,840 --> 00:29:19,920 Speaker 1: whenever you get to that point of recognition, that's when 562 00:29:19,920 --> 00:29:22,240 Speaker 1: things start to change. Danielle. We heard from Lyle him 563 00:29:22,280 --> 00:29:26,920 Speaker 1: back him by earlier of Grantit Group Advisors reminding us 564 00:29:26,600 --> 00:29:29,560 Speaker 1: g d P is retail sales. So this is something 565 00:29:29,600 --> 00:29:32,520 Speaker 1: obviously we're focused on today. Because of Black Friday. We've 566 00:29:32,520 --> 00:29:35,080 Speaker 1: been talking with our Punum Goyle, a Bloomberg intelligence out 567 00:29:35,080 --> 00:29:37,680 Speaker 1: at the malls. They're busy, they're getting busier, people waiting 568 00:29:37,720 --> 00:29:41,320 Speaker 1: for parking spots. Black Friday can be a great data 569 00:29:41,360 --> 00:29:43,680 Speaker 1: point for the Federal Reserve in terms of whether or 570 00:29:43,680 --> 00:29:47,520 Speaker 1: not consumers feel confident about shopping. At the same time, 571 00:29:47,560 --> 00:29:49,200 Speaker 1: I think it was maybe the New York FED that 572 00:29:49,240 --> 00:29:52,880 Speaker 1: put out some data about, you know, Americans, consumers are 573 00:29:52,920 --> 00:29:55,600 Speaker 1: adding more to their credit cards. So how might the 574 00:29:55,680 --> 00:29:59,800 Speaker 1: FED take Black Friday Cyber Monday data and kind of 575 00:30:00,000 --> 00:30:03,360 Speaker 1: at it into their thinking about FED policy. Well, I 576 00:30:03,360 --> 00:30:06,360 Speaker 1: think I think consumer confidence, in the way you describe 577 00:30:06,360 --> 00:30:12,080 Speaker 1: it um really speaks to people's willingness to completely max 578 00:30:12,160 --> 00:30:14,520 Speaker 1: out their credit cards. And the data that's not being 579 00:30:14,520 --> 00:30:18,040 Speaker 1: followed as closely is that we're about tapped out in 580 00:30:18,120 --> 00:30:22,800 Speaker 1: terms of credit card lines, so and we've taken savings 581 00:30:22,840 --> 00:30:25,800 Speaker 1: down to such a level on a nominal basis that 582 00:30:25,960 --> 00:30:29,560 Speaker 1: there wasn't enough savings to spend what Americans spent last 583 00:30:29,680 --> 00:30:33,400 Speaker 1: December in terms of burning through their savings. The willingness 584 00:30:33,560 --> 00:30:37,400 Speaker 1: is a corollary, if you will, to financial conditions being easy. 585 00:30:38,400 --> 00:30:42,520 Speaker 1: Many Americans have never lived through the double difpercession of 586 00:30:42,600 --> 00:30:45,480 Speaker 1: the nineteen eighties, and they don't they don't know of 587 00:30:45,520 --> 00:30:48,240 Speaker 1: a FED that doesn't come in and rescue the economy 588 00:30:48,400 --> 00:30:51,560 Speaker 1: very quickly and not let the pain be failed. And 589 00:30:51,600 --> 00:30:54,000 Speaker 1: I think that's how many. That's how many households and 590 00:30:54,120 --> 00:30:58,600 Speaker 1: many investors are operating. Daniel. We're gonna get the Jolts 591 00:30:58,720 --> 00:31:01,960 Speaker 1: data next week job openings, and it's still a big number. 592 00:31:02,000 --> 00:31:04,560 Speaker 1: It seems to me more than ten million. How do 593 00:31:04,600 --> 00:31:06,360 Speaker 1: you interpret the Jolt's number or do you just kind 594 00:31:06,360 --> 00:31:10,280 Speaker 1: of toss it aside? You know, I don't toss it aside. 595 00:31:10,360 --> 00:31:12,920 Speaker 1: I allowed some FED staff papers to allow me to 596 00:31:12,920 --> 00:31:16,640 Speaker 1: tos us it aside. If you if you net FED research, 597 00:31:16,920 --> 00:31:19,520 Speaker 1: there's the irony is that Powell is ignoring FED research. 598 00:31:19,920 --> 00:31:22,960 Speaker 1: If you net out job postings that are written specifically 599 00:31:23,000 --> 00:31:27,440 Speaker 1: to poach existing employed individuals. So I want to get 600 00:31:27,480 --> 00:31:31,200 Speaker 1: a good employee from my competition and hire them for 601 00:31:31,280 --> 00:31:34,840 Speaker 1: more money. If you net those types of job postings out, 602 00:31:34,880 --> 00:31:38,760 Speaker 1: according to Federal research data, your job openings are basically flat. 603 00:31:38,960 --> 00:31:41,760 Speaker 1: There was a little bumped during COVID, but otherwise basically 604 00:31:41,880 --> 00:31:45,960 Speaker 1: flat job openings for people who are unemployed. So there's 605 00:31:45,960 --> 00:31:48,720 Speaker 1: a critical distinction to be made there. It's a weird economy, 606 00:31:48,800 --> 00:31:50,360 Speaker 1: I think, making sense of it and coming out of 607 00:31:50,360 --> 00:31:54,040 Speaker 1: this pandemic, right, we haven't lived through this before. Um, 608 00:31:54,160 --> 00:31:57,680 Speaker 1: so what is this thing? I mean? FED policy monetary policy, 609 00:31:57,920 --> 00:32:01,240 Speaker 1: never never assure thing there is in a playbook that 610 00:32:01,240 --> 00:32:03,280 Speaker 1: says this is exactly what you have to do. Daniel, 611 00:32:03,320 --> 00:32:05,440 Speaker 1: you know this better than most. So what is the 612 00:32:05,480 --> 00:32:09,000 Speaker 1: tricky thing? What is the major risk factor right here 613 00:32:09,080 --> 00:32:12,320 Speaker 1: at this point in time for J. Powell and Company. 614 00:32:13,080 --> 00:32:16,360 Speaker 1: So the way I liken it's for for Quill's clients 615 00:32:16,560 --> 00:32:21,120 Speaker 1: is cycle compression. So the way that he brushed off 616 00:32:21,160 --> 00:32:23,640 Speaker 1: the idea of lag when he was the podium, as 617 00:32:23,640 --> 00:32:27,160 Speaker 1: opposed to being recognized and written into the statement up 618 00:32:27,160 --> 00:32:31,800 Speaker 1: by the doves. And my greatest concern is that fannimated 619 00:32:31,880 --> 00:32:35,080 Speaker 1: research that showed that on average it takes five quarters 620 00:32:35,160 --> 00:32:38,360 Speaker 1: for home price increases in home price declines to manifest 621 00:32:38,680 --> 00:32:42,720 Speaker 1: in the consumer price inflation consumer price index. It's taking 622 00:32:42,760 --> 00:32:45,880 Speaker 1: only half of that time. In other words, the magnitude 623 00:32:45,880 --> 00:32:49,240 Speaker 1: of the FED rate hiking cycle plus q T in 624 00:32:49,280 --> 00:32:53,240 Speaker 1: the background is moving monetary policy into the real economy 625 00:32:53,480 --> 00:32:56,320 Speaker 1: at twice the speed as what we've seen when it 626 00:32:56,440 --> 00:32:59,400 Speaker 1: used to be Alan Greenspan seventeen rate hikes in a row, 627 00:32:59,560 --> 00:33:02,360 Speaker 1: only any five basis points at a time. So I 628 00:33:02,440 --> 00:33:04,120 Speaker 1: think that that's what we have to pay attention to, 629 00:33:04,560 --> 00:33:07,720 Speaker 1: is the rapidity with which lag is making its mark 630 00:33:07,880 --> 00:33:11,080 Speaker 1: on the real economy. Hey, Danielle, just thirty seconds left. 631 00:33:11,200 --> 00:33:13,800 Speaker 1: What's the what do you get asked the most right 632 00:33:13,840 --> 00:33:18,240 Speaker 1: now by your clients? Hey? Explain this to us what 633 00:33:18,440 --> 00:33:21,040 Speaker 1: my clients want to know the most right now? Or 634 00:33:21,040 --> 00:33:23,960 Speaker 1: why are credit spreads as wide as they are and 635 00:33:24,000 --> 00:33:27,560 Speaker 1: what's going to break? And my stock answer is you 636 00:33:27,680 --> 00:33:30,240 Speaker 1: have to pay attention to other parts of the world. 637 00:33:30,680 --> 00:33:33,240 Speaker 1: How yielding in Europe is degrading at a much faster pace. 638 00:33:33,560 --> 00:33:37,080 Speaker 1: The credit event will happen, but so far because financial 639 00:33:37,080 --> 00:33:40,280 Speaker 1: conditions remain easy. It's going to keep the Feds pedal 640 00:33:40,360 --> 00:33:42,320 Speaker 1: to the metal, so to speak. But credit remains on 641 00:33:42,440 --> 00:33:46,240 Speaker 1: everybody's front mind. It always does end in credit. Danielle, 642 00:33:46,320 --> 00:33:48,360 Speaker 1: thank you so much. Really appreciate and have a great weekend. 643 00:33:48,440 --> 00:33:52,640 Speaker 1: Danielle de Martinez de Martino excuse me, Booth CEO and 644 00:33:52,720 --> 00:33:55,800 Speaker 1: chief strategist over at Quill Intelligence. Thanks for listening to 645 00:33:55,800 --> 00:33:59,320 Speaker 1: the Bloomberg Markets podcast. You can subscribe and listen to 646 00:33:59,360 --> 00:34:03,520 Speaker 1: interviews of Apple Podcasts or whatever podcast platform you prefer. 647 00:34:03,920 --> 00:34:07,880 Speaker 1: I'm Matt Miller. I'm on Twitter at Matt Miller three 648 00:34:08,520 --> 00:34:11,120 Speaker 1: on Fall Sweeney, I'm on Twitter at pt Sweeney before 649 00:34:11,160 --> 00:34:13,960 Speaker 1: the podcast. You can always catch us worldwide at Bloomberg 650 00:34:14,040 --> 00:34:14,279 Speaker 1: Radio