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 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,280 Speaker 1: at Bloomberg dot com slash podcast. All Right, Adam Gold, 7 00:00:22,320 --> 00:00:26,200 Speaker 1: founder and chief investment officer at catam LLLC, joins us. Adam, 8 00:00:26,239 --> 00:00:28,760 Speaker 1: I'm looking at a market the SMP. Let's call it 9 00:00:28,760 --> 00:00:31,920 Speaker 1: a correction off at or about ten percent, yet nastack 10 00:00:31,960 --> 00:00:35,680 Speaker 1: off at or about If I'm gonna buy the dipper? 11 00:00:36,159 --> 00:00:39,319 Speaker 1: Is this my time to buy? Good morning, guys, Thanks 12 00:00:39,360 --> 00:00:42,520 Speaker 1: for having me. Um, that's always the trillion dollar question, 13 00:00:42,600 --> 00:00:44,239 Speaker 1: and the answer is you just never know where the 14 00:00:44,240 --> 00:00:48,000 Speaker 1: bottom is. Um, there's the pendulum is certainly swung wearing 15 00:00:48,080 --> 00:00:51,520 Speaker 1: choppy waters right now. There's there's a lot of issues here. 16 00:00:51,640 --> 00:00:54,120 Speaker 1: Every other guest talks about it. In the long term, 17 00:00:54,360 --> 00:00:56,360 Speaker 1: I think this is an incredible opportunity to be buying 18 00:00:56,400 --> 00:00:59,639 Speaker 1: great companies that are off significantly. But you know, when 19 00:00:59,640 --> 00:01:02,040 Speaker 1: we were went from a correction of a bear market 20 00:01:02,040 --> 00:01:04,760 Speaker 1: in the Nasdack. If you look back to November where 21 00:01:05,160 --> 00:01:08,080 Speaker 1: November twenty two, the market fell three from the highest 22 00:01:08,120 --> 00:01:10,720 Speaker 1: the lows that day, and that's why really sort of 23 00:01:10,760 --> 00:01:13,840 Speaker 1: started this downwards. So now we're almost on the nastac 24 00:01:14,240 --> 00:01:15,840 Speaker 1: We don't know where the low can be, but if 25 00:01:15,840 --> 00:01:17,679 Speaker 1: you look out over time, we think this is a 26 00:01:17,680 --> 00:01:21,640 Speaker 1: great opportunity. So UM a great opportunity though for for 27 00:01:21,680 --> 00:01:23,720 Speaker 1: what is the question? How do you screen for the 28 00:01:23,720 --> 00:01:25,480 Speaker 1: companies that you want to buy? How do you make 29 00:01:25,520 --> 00:01:31,280 Speaker 1: those decisions? Absolutely, fundamentals matter significantly, especially in when you're 30 00:01:31,280 --> 00:01:35,200 Speaker 1: in sort of down markets, and balance sheets get looked at. UM. 31 00:01:35,240 --> 00:01:37,880 Speaker 1: One of my old bosses said in bullmarkets, it's all 32 00:01:37,920 --> 00:01:41,280 Speaker 1: about the income statement revenue, right, you've the sales multiples, 33 00:01:41,280 --> 00:01:44,280 Speaker 1: et cetera. And profits are insignificant when you come on 34 00:01:44,319 --> 00:01:47,039 Speaker 1: the way down. Of course, balance sheets matter, cash positions, 35 00:01:47,120 --> 00:01:49,440 Speaker 1: real profits, and we've seen that. So we think what 36 00:01:49,480 --> 00:01:51,680 Speaker 1: we've done for clients the last few months has moved 37 00:01:51,720 --> 00:01:54,440 Speaker 1: out of which has been very helpful, moving out of 38 00:01:54,520 --> 00:01:57,480 Speaker 1: unprofitable companies. UH. And that's you've seen a lot of 39 00:01:57,920 --> 00:02:00,440 Speaker 1: other guests talk about the Cathy Wood type names, the 40 00:02:00,560 --> 00:02:04,680 Speaker 1: ARC universe, selling profitable positions, the companies like apples the world, 41 00:02:04,760 --> 00:02:06,920 Speaker 1: the mega cap texts that are profitable that can buy 42 00:02:06,920 --> 00:02:10,040 Speaker 1: back stock to buy unprofitable companies, and that's been a 43 00:02:10,160 --> 00:02:13,560 Speaker 1: very bad uh direction the last few months. So we 44 00:02:13,600 --> 00:02:16,080 Speaker 1: think we've we've screened out a lot of those companies. 45 00:02:16,440 --> 00:02:18,320 Speaker 1: We don't know where the lows. Maybe we say that 46 00:02:18,360 --> 00:02:21,160 Speaker 1: again near term where we think long term as a 47 00:02:21,200 --> 00:02:23,480 Speaker 1: secular investor, what are the big trends that are going 48 00:02:23,560 --> 00:02:25,920 Speaker 1: to happen over the next five or ten years. I 49 00:02:25,960 --> 00:02:28,480 Speaker 1: think that the markets gives us our our job is 50 00:02:28,520 --> 00:02:32,120 Speaker 1: that markets are very sort of near term, almost cyclical obsessed, 51 00:02:32,400 --> 00:02:35,040 Speaker 1: and we think that's the real opportunity here. So um, 52 00:02:35,480 --> 00:02:38,480 Speaker 1: we think there's incredible companies and technology. That's the sector 53 00:02:38,520 --> 00:02:41,240 Speaker 1: we've focused on for our entire career twenty plus years. 54 00:02:41,560 --> 00:02:43,120 Speaker 1: It's proven to be a great place to be. We 55 00:02:43,160 --> 00:02:44,639 Speaker 1: think that will be a better place to be in 56 00:02:44,680 --> 00:02:47,280 Speaker 1: the next twenty years than than it is today. There's 57 00:02:47,320 --> 00:02:49,840 Speaker 1: just periods here where certain sectors fall out of favor. 58 00:02:50,440 --> 00:02:52,359 Speaker 1: So on the tech side, you know, when you've got 59 00:02:52,360 --> 00:02:54,519 Speaker 1: a name like Facebook, which has been such a strong 60 00:02:54,600 --> 00:02:58,360 Speaker 1: performer for so many investors, but it's down year to date, 61 00:02:58,440 --> 00:03:01,079 Speaker 1: off about over the trailing twelve months. So when you 62 00:03:01,120 --> 00:03:03,480 Speaker 1: look at a name like that, what do you what 63 00:03:03,480 --> 00:03:07,799 Speaker 1: do you think? Yeah, there's a couple of big issues there. Um, 64 00:03:07,919 --> 00:03:10,440 Speaker 1: we we've been a long term shareholder since the I 65 00:03:10,520 --> 00:03:12,280 Speaker 1: p O. We'll never forget the day that the I 66 00:03:12,360 --> 00:03:15,400 Speaker 1: p O shares locked up UM at the six month mark. 67 00:03:15,440 --> 00:03:18,880 Speaker 1: Peter Deal famously sold every single share. He had about 68 00:03:18,880 --> 00:03:21,880 Speaker 1: a billion dollars worth around eighteen so he caused himself 69 00:03:21,880 --> 00:03:25,120 Speaker 1: ten billion dollars by being somewhat shortsighted there, and he's 70 00:03:25,120 --> 00:03:27,760 Speaker 1: actually just left the board. But um, you know, over time, 71 00:03:27,760 --> 00:03:30,680 Speaker 1: they've done an incredible job growing their business. They're very profitable, 72 00:03:31,080 --> 00:03:33,520 Speaker 1: but they're making a major pivot, and that pivot is 73 00:03:34,040 --> 00:03:37,280 Speaker 1: a couple of areas. One is they're investing UM into 74 00:03:37,320 --> 00:03:40,480 Speaker 1: new products which don't have as much AD units behind them, 75 00:03:40,520 --> 00:03:43,240 Speaker 1: which is something like a TikTok type reels product. So 76 00:03:43,240 --> 00:03:45,400 Speaker 1: they're having a change. They're sort of sort of trying 77 00:03:45,400 --> 00:03:48,400 Speaker 1: to change the engine midflight here, which is always very challenging. 78 00:03:48,400 --> 00:03:51,160 Speaker 1: They're trying to change their AD products on their core business, 79 00:03:51,760 --> 00:03:54,600 Speaker 1: which faces some competition from other apps and time spent, 80 00:03:55,000 --> 00:03:56,960 Speaker 1: and then they're actually literally changed the name of their 81 00:03:56,960 --> 00:03:59,600 Speaker 1: company to focus on the future hardware business, which is 82 00:03:59,600 --> 00:04:01,280 Speaker 1: where they want to go from two D screens to 83 00:04:01,440 --> 00:04:04,120 Speaker 1: three D screens. And they spend ten billion dollars and 84 00:04:04,160 --> 00:04:06,160 Speaker 1: lost a lot of money there, and they finally split 85 00:04:06,200 --> 00:04:10,000 Speaker 1: out that segment, which is their their hardware AI initiatives 86 00:04:10,040 --> 00:04:12,920 Speaker 1: as well as um Oculus, v R, A R and 87 00:04:12,920 --> 00:04:14,760 Speaker 1: And that's a long time away. So you've got a 88 00:04:14,800 --> 00:04:18,680 Speaker 1: really tough combination of slowing growth and rising expenses, and 89 00:04:18,720 --> 00:04:20,960 Speaker 1: that's why you know, the stock has fallen so significantly 90 00:04:20,960 --> 00:04:23,520 Speaker 1: because that's a bad combination for investors. Don't they also, 91 00:04:23,560 --> 00:04:25,719 Speaker 1: I mean, at least in the metaverse, aren't they going 92 00:04:25,760 --> 00:04:30,640 Speaker 1: to have significant competition from companies that haven't happened to 93 00:04:30,720 --> 00:04:34,680 Speaker 1: change their names to meta platforms? Sure well, we we will. 94 00:04:34,720 --> 00:04:37,039 Speaker 1: We own the Video, we own Microsoft, We own a 95 00:04:37,040 --> 00:04:38,320 Speaker 1: lot of the companies that we think are going to 96 00:04:38,440 --> 00:04:41,480 Speaker 1: benefit from a move away from screens. And Apple as well. 97 00:04:41,520 --> 00:04:43,880 Speaker 1: I mean, they're the biggest um They're they're the unknown 98 00:04:43,880 --> 00:04:46,160 Speaker 1: at the moment, but they have the largest one of 99 00:04:46,320 --> 00:04:48,240 Speaker 1: you know, the best, Google, the largest user based and 100 00:04:48,279 --> 00:04:51,359 Speaker 1: mobile devices apples second. But in terms of higher value 101 00:04:51,400 --> 00:04:54,760 Speaker 1: customers and profits, Apples the clear leader. Those two companies 102 00:04:54,800 --> 00:04:57,680 Speaker 1: will make um, you know, potentially incredible moves there and 103 00:04:57,720 --> 00:04:59,960 Speaker 1: given their size and scales, so yes, it's an absolutely 104 00:05:00,200 --> 00:05:03,359 Speaker 1: uh you know, competitive landscape, but an omniverse. So the 105 00:05:03,360 --> 00:05:05,640 Speaker 1: meta versus a concept is a connection of you know, 106 00:05:05,720 --> 00:05:08,159 Speaker 1: a lot of different worlds together um, where people are 107 00:05:08,200 --> 00:05:11,280 Speaker 1: gonna spend more time you know, beyond their screens potentially, 108 00:05:11,320 --> 00:05:13,240 Speaker 1: so and we think there's room for all of them 109 00:05:13,279 --> 00:05:16,279 Speaker 1: to intermix um. But yes, it's definitely they have no 110 00:05:16,680 --> 00:05:20,400 Speaker 1: you know, Zuckerberg has done incredible job growing against with 111 00:05:20,600 --> 00:05:22,599 Speaker 1: you know, without having control of his platforms. And he 112 00:05:22,600 --> 00:05:24,279 Speaker 1: tried to launch a phone a few years ago, did 113 00:05:24,400 --> 00:05:27,159 Speaker 1: not work. Basis did as well, also failed. But he 114 00:05:27,200 --> 00:05:29,680 Speaker 1: wants to control his hardware and his software. That's something 115 00:05:29,720 --> 00:05:32,600 Speaker 1: that Apple has famously done with the software, hardware and 116 00:05:32,640 --> 00:05:35,400 Speaker 1: services connection. Uh, And so he's trying to do that. 117 00:05:35,440 --> 00:05:37,599 Speaker 1: He's making big bowld bets and so he really wanted 118 00:05:37,640 --> 00:05:39,920 Speaker 1: to let us employees know this is the way we're 119 00:05:39,920 --> 00:05:41,880 Speaker 1: going to be moving. So we think over the next 120 00:05:41,880 --> 00:05:44,360 Speaker 1: you know, several years, as more of these products come out, 121 00:05:44,360 --> 00:05:46,600 Speaker 1: we'll get his better sense of what, um, what they're doing. 122 00:05:46,640 --> 00:05:49,200 Speaker 1: They're actually having an ai UH demo day today, so 123 00:05:49,240 --> 00:05:51,600 Speaker 1: we'll see what we'll watch that after this. All right, Adam, 124 00:05:51,640 --> 00:05:54,120 Speaker 1: thanks so much for taking the time out and chatting 125 00:05:54,160 --> 00:05:57,279 Speaker 1: with us. Adam Gold, founder and chief investment officer for 126 00:05:57,320 --> 00:06:01,200 Speaker 1: Catam LLC talking to us about these markets. Still likes 127 00:06:01,279 --> 00:06:04,440 Speaker 1: the text story um as opposed to some of the 128 00:06:04,440 --> 00:06:06,960 Speaker 1: cyclical names, the energies, the banks that have performed well 129 00:06:07,240 --> 00:06:10,120 Speaker 1: on a reopening type of trade. He's sticking with technology 130 00:06:10,160 --> 00:06:17,560 Speaker 1: at that firm. Let's continue that discussion on retail with 131 00:06:17,640 --> 00:06:21,960 Speaker 1: Mary Sure, senior Equity Annals at Columbia Thread Needle. Maury, 132 00:06:22,360 --> 00:06:24,200 Speaker 1: we've come through with most of the earnings here, a 133 00:06:24,200 --> 00:06:28,479 Speaker 1: lot of the earnings. How is the consumer faring? I 134 00:06:28,560 --> 00:06:33,760 Speaker 1: think overall the consumer is is faring much better than expected. 135 00:06:34,160 --> 00:06:37,600 Speaker 1: We d We did see in the retail sales numbers 136 00:06:37,600 --> 00:06:40,080 Speaker 1: and here from the companies. At the very end of 137 00:06:40,120 --> 00:06:43,320 Speaker 1: the holiday was a little bit weaker, but that was 138 00:06:43,360 --> 00:06:49,120 Speaker 1: attributed to oh Macron related traffic pressure. And since the 139 00:06:49,160 --> 00:06:52,960 Speaker 1: middle of January we have seen traffic and sales improve, 140 00:06:53,520 --> 00:06:57,240 Speaker 1: which I think is very encouraging, especially given the very 141 00:06:57,320 --> 00:07:01,719 Speaker 1: tough compares that so many company are up against. I 142 00:07:01,760 --> 00:07:05,520 Speaker 1: think another really big takeaway is given the strong underlying 143 00:07:05,560 --> 00:07:10,320 Speaker 1: health of the consumer, the companies are very confident in 144 00:07:10,360 --> 00:07:14,560 Speaker 1: their ability to continue to take price despite the fact 145 00:07:14,800 --> 00:07:17,720 Speaker 1: that inflation continues to build. Yeah, I was going to 146 00:07:17,800 --> 00:07:21,520 Speaker 1: ask about what, if what effects has that had Mari um. 147 00:07:21,560 --> 00:07:25,760 Speaker 1: The inflation numbers are eye popping. I don't know what, 148 00:07:26,040 --> 00:07:29,160 Speaker 1: um what Paul paid for his Elton John tickets last night, 149 00:07:29,160 --> 00:07:30,720 Speaker 1: but I'm gonna guess it was a lot more than 150 00:07:30,720 --> 00:07:33,080 Speaker 1: he would have paid a couple of years ago. And 151 00:07:33,080 --> 00:07:36,480 Speaker 1: the and the steak before keens at stake as well. Yeah, 152 00:07:36,680 --> 00:07:41,600 Speaker 1: food inflation um as well as uh, you know, experiences 153 00:07:42,160 --> 00:07:44,640 Speaker 1: and stuff. It just costs a lot more. How how 154 00:07:44,640 --> 00:07:50,320 Speaker 1: are consumers dealing with that? Surprisingly well. Speaking to the companies, 155 00:07:50,400 --> 00:07:54,080 Speaker 1: and these are companies with exposure to all different categories, 156 00:07:54,120 --> 00:07:58,600 Speaker 1: everything from food to handbags, the companies are not seeing 157 00:07:58,680 --> 00:08:02,840 Speaker 1: any real pushback to or pricing efforts, or any real 158 00:08:02,960 --> 00:08:06,440 Speaker 1: evidence of trade down. But they are all saying that 159 00:08:06,560 --> 00:08:10,760 Speaker 1: if this level inflation continues, then they would expect to 160 00:08:10,880 --> 00:08:15,760 Speaker 1: see trade down and greater focus of spending on needs 161 00:08:15,800 --> 00:08:18,920 Speaker 1: over wats, But right now we are not seeing that 162 00:08:19,080 --> 00:08:22,280 Speaker 1: in the current sales trends. Mario What are the retailers 163 00:08:22,320 --> 00:08:24,320 Speaker 1: saying about the supply chain? Are they able to get 164 00:08:24,400 --> 00:08:26,920 Speaker 1: stuff on the shelves, do they expect it to get 165 00:08:26,960 --> 00:08:30,280 Speaker 1: better or worse, or what are they saying. I think 166 00:08:30,320 --> 00:08:33,960 Speaker 1: that oh, Macron delayed the normalization of the supply chain 167 00:08:34,000 --> 00:08:36,920 Speaker 1: a little bit um but and and most of the 168 00:08:36,960 --> 00:08:39,640 Speaker 1: companies I think are taking a more conservative view in 169 00:08:39,760 --> 00:08:45,040 Speaker 1: expecting the freight cost pressure to continue through the full year. 170 00:08:45,679 --> 00:08:48,719 Speaker 1: But that really reflects the fact that demand is so 171 00:08:48,840 --> 00:08:54,240 Speaker 1: strong and they are having to um to chase sales 172 00:08:54,320 --> 00:08:58,200 Speaker 1: and that is coming at a greater cost. But as 173 00:08:58,240 --> 00:09:01,800 Speaker 1: it relates to inventory, day have all taken action to 174 00:09:02,600 --> 00:09:07,520 Speaker 1: pull forward inventory receipts and so when it when it 175 00:09:07,559 --> 00:09:09,360 Speaker 1: comes to the inventory that you might see on the 176 00:09:09,360 --> 00:09:11,880 Speaker 1: shelves of the stores, you should see that in a 177 00:09:12,040 --> 00:09:15,320 Speaker 1: very good condition. And I think it could even continue 178 00:09:15,320 --> 00:09:18,600 Speaker 1: to improve further as we moved through the year. All right, Mary, 179 00:09:18,640 --> 00:09:20,880 Speaker 1: thank you so much for joining us getting us an 180 00:09:20,920 --> 00:09:23,200 Speaker 1: update here on all things retail and on the consumer. 181 00:09:23,200 --> 00:09:26,439 Speaker 1: And as Marie was saying, consumer continues to be strong 182 00:09:26,480 --> 00:09:30,080 Speaker 1: in this economy. Mary Shore, senior equity analyst at Columbia 183 00:09:30,280 --> 00:09:37,280 Speaker 1: thread Needle Investments, giving us the latest tier Steve Kane, 184 00:09:37,360 --> 00:09:41,360 Speaker 1: co ce io and general's portfolio manager at TCW Investment Management. 185 00:09:41,400 --> 00:09:43,720 Speaker 1: He went to the University of Chicago, got his NBA there, Matt, 186 00:09:43,720 --> 00:09:47,640 Speaker 1: which means he understands the booth duration, the booth school vexity. 187 00:09:48,160 --> 00:09:50,680 Speaker 1: I'm an equity guy, Steve, so I don'tally don't. I 188 00:09:50,679 --> 00:09:53,240 Speaker 1: didn't pay too much attention to that business school. But 189 00:09:53,280 --> 00:09:55,959 Speaker 1: you're fixed income portfolio manager. What do you do here 190 00:09:55,960 --> 00:10:02,160 Speaker 1: in a rising interest rate environment? Steve? Well, hopefully, uh 191 00:10:02,559 --> 00:10:05,520 Speaker 1: you had your duration short going back a year or so, 192 00:10:05,760 --> 00:10:10,199 Speaker 1: which we were fortunate to do. But I would say that, um, 193 00:10:10,600 --> 00:10:12,520 Speaker 1: you know, things are getting a little bit more interesting 194 00:10:12,559 --> 00:10:15,800 Speaker 1: in the fixed income world from a value perspective, and 195 00:10:16,320 --> 00:10:19,640 Speaker 1: I think where we you know, along the rate environment, 196 00:10:19,679 --> 00:10:21,320 Speaker 1: we uh, we think the front end of the curve 197 00:10:21,400 --> 00:10:23,600 Speaker 1: is starting to look interesting. A one sixty two year 198 00:10:23,679 --> 00:10:27,360 Speaker 1: that discounts eight fed tightenings over the next you know, 199 00:10:27,440 --> 00:10:30,319 Speaker 1: fifteen months or so, it looks reasonable. Now when you 200 00:10:30,360 --> 00:10:33,080 Speaker 1: look out the curve, we're not as excited. You know, 201 00:10:33,160 --> 00:10:37,160 Speaker 1: a sub ten year and uh thirty year just beyond 202 00:10:37,559 --> 00:10:40,640 Speaker 1: your you're just not getting much term premium or really 203 00:10:40,640 --> 00:10:43,480 Speaker 1: getting paid for your risk out the curve. So in general, 204 00:10:43,520 --> 00:10:46,400 Speaker 1: what we tell investors is keep your duration shut, keep 205 00:10:46,559 --> 00:10:48,720 Speaker 1: keep your focus on the on the front end of 206 00:10:48,720 --> 00:10:55,200 Speaker 1: the curve. So, um, if we get eight rate hikes 207 00:10:55,400 --> 00:10:59,160 Speaker 1: or more, would that surprise you then? No, not at all. 208 00:10:59,280 --> 00:11:02,000 Speaker 1: I mean the d is I mean, of course, it 209 00:11:02,000 --> 00:11:05,280 Speaker 1: depends on what happens with inflation and with the economy 210 00:11:05,280 --> 00:11:07,480 Speaker 1: and all that. But you know, our view is inflation 211 00:11:07,520 --> 00:11:09,679 Speaker 1: is going to run hot, certainly for the balance of 212 00:11:09,720 --> 00:11:12,400 Speaker 1: this year and maybe well into next year, given what 213 00:11:12,400 --> 00:11:15,199 Speaker 1: we're seeing in the labor market and with wages. Uh, 214 00:11:15,320 --> 00:11:18,840 Speaker 1: certainly energy prices feeding into that as well. Um. Yeah, No, 215 00:11:18,920 --> 00:11:21,760 Speaker 1: the FED is uh, you know, almost regardless of what 216 00:11:21,800 --> 00:11:24,040 Speaker 1: happens with the you know, Russian Ukraine or even the 217 00:11:24,080 --> 00:11:27,720 Speaker 1: stock market, the fence locked into a tightening path here. Um, 218 00:11:27,760 --> 00:11:29,800 Speaker 1: given the high level of inflation and the fact that 219 00:11:29,840 --> 00:11:33,200 Speaker 1: they really need to begin to get to work to 220 00:11:33,280 --> 00:11:36,120 Speaker 1: address that, Steve, what does history have to tell us 221 00:11:36,160 --> 00:11:39,640 Speaker 1: about the ability of the FED to fight inflation? I 222 00:11:39,720 --> 00:11:41,760 Speaker 1: kind of feel like inflation is just because there's a 223 00:11:41,800 --> 00:11:44,640 Speaker 1: bunch of ships off the port of Long Beach and 224 00:11:44,960 --> 00:11:47,960 Speaker 1: the portrait clogged, and there's nobody to move this stuff, 225 00:11:47,960 --> 00:11:50,520 Speaker 1: and there's no truckers, and what can the FED really 226 00:11:50,559 --> 00:11:55,480 Speaker 1: do there? The FED can do nothing, I think lined up, 227 00:11:55,600 --> 00:11:58,160 Speaker 1: lined up outside of ports, there's there's absolutely nothing they 228 00:11:58,160 --> 00:12:01,040 Speaker 1: can do that The FED can really just through monetary 229 00:12:01,080 --> 00:12:04,520 Speaker 1: policy affect financial conditions and the demand side of the 230 00:12:04,520 --> 00:12:09,240 Speaker 1: economy through through interest rate sensitive sectors of the economy, 231 00:12:09,320 --> 00:12:12,960 Speaker 1: which means there they have a very bluntant instrument. UM 232 00:12:13,000 --> 00:12:15,960 Speaker 1: as we all know in terms of dealing with inflation, 233 00:12:16,000 --> 00:12:19,160 Speaker 1: and inflation works with the lag. So the sort of 234 00:12:19,240 --> 00:12:23,199 Speaker 1: unfortunate thing from an inflation forecasting standpoint is, even though 235 00:12:23,240 --> 00:12:26,400 Speaker 1: they are going to be hiking, the impact of those hikes, 236 00:12:26,640 --> 00:12:28,560 Speaker 1: UM is going to affect the economy with a lag 237 00:12:28,600 --> 00:12:31,520 Speaker 1: and then inflation with even a further lag. So UH, 238 00:12:31,520 --> 00:12:35,360 Speaker 1: it's it's not gonna really have an immediate effect on 239 00:12:36,080 --> 00:12:38,360 Speaker 1: on the supply side of the economy at all. How 240 00:12:38,400 --> 00:12:41,320 Speaker 1: important is it to get the rest of UM the 241 00:12:41,480 --> 00:12:47,960 Speaker 1: f O M c UH confirmed UM, I don't think 242 00:12:47,960 --> 00:12:50,480 Speaker 1: it really matters all that much. I mean that you 243 00:12:50,559 --> 00:12:53,760 Speaker 1: have your big three in place, Paul Brainerd and Williams, 244 00:12:53,840 --> 00:12:58,040 Speaker 1: the UH president of the New York FT, and UH, 245 00:12:58,120 --> 00:13:03,000 Speaker 1: I don't think they need a full slate of Fed 246 00:13:03,080 --> 00:13:07,080 Speaker 1: governors and presidents don't necessarily make decisions, so I think, 247 00:13:07,160 --> 00:13:09,040 Speaker 1: you know, yes, it would be nice, but I don't 248 00:13:09,040 --> 00:13:11,520 Speaker 1: think it's gonna affect in any way there their policy 249 00:13:11,559 --> 00:13:14,760 Speaker 1: making decisions. Steve, you know when the FED made this 250 00:13:14,800 --> 00:13:17,120 Speaker 1: pivot to a more hawkers stance and were I think 251 00:13:17,120 --> 00:13:20,199 Speaker 1: the market was talking about three rate increases now potentially 252 00:13:20,200 --> 00:13:22,680 Speaker 1: as many as seven. How do you feel about that 253 00:13:22,720 --> 00:13:26,400 Speaker 1: discussion point of is the Fed behind the market? Are 254 00:13:26,400 --> 00:13:28,400 Speaker 1: they trying to play catch up? How do you think 255 00:13:28,440 --> 00:13:30,800 Speaker 1: about that? Yeah? I think they are. And I think 256 00:13:30,800 --> 00:13:34,720 Speaker 1: what happened is, you know, they they went with the 257 00:13:34,760 --> 00:13:38,160 Speaker 1: transitory supply bottleneck view for a while, and I think 258 00:13:38,160 --> 00:13:40,160 Speaker 1: what changed as they began to see tightness in the 259 00:13:40,240 --> 00:13:43,920 Speaker 1: labor market and um, you know, unemployment at four percent 260 00:13:44,120 --> 00:13:47,880 Speaker 1: and wages rising very quickly and sort of forward looking 261 00:13:47,920 --> 00:13:51,080 Speaker 1: indicators like the quits rate at historical highs, people leaving 262 00:13:51,120 --> 00:13:54,920 Speaker 1: their job voluntarily, all suggests that this is more than 263 00:13:54,960 --> 00:13:57,959 Speaker 1: a temporary phenomenon, that it's you know, it's affected the 264 00:13:58,040 --> 00:14:00,400 Speaker 1: labor market. And I think the Fed, you is behind 265 00:14:00,400 --> 00:14:04,720 Speaker 1: the curve in fact, and because you know, wages uh 266 00:14:04,720 --> 00:14:07,480 Speaker 1: in the employment market do not react quickly to change 267 00:14:07,520 --> 00:14:09,920 Speaker 1: it an interest rates. So again, it's going to be 268 00:14:10,000 --> 00:14:12,800 Speaker 1: some period of time and some amount of that tightening 269 00:14:12,800 --> 00:14:15,000 Speaker 1: and slowing in the economy before you see an impact 270 00:14:15,040 --> 00:14:18,679 Speaker 1: on the labor market. All right, Steve, thanks so much 271 00:14:18,679 --> 00:14:20,880 Speaker 1: for joining us. To really appreciate it. I always love 272 00:14:20,960 --> 00:14:23,080 Speaker 1: talking to the folks at t c W. Get this 273 00:14:23,320 --> 00:14:28,320 Speaker 1: two billion dollars in fixed income assets. I mean, that 274 00:14:28,440 --> 00:14:30,240 Speaker 1: is a meeting. When you go to l A to 275 00:14:30,320 --> 00:14:32,920 Speaker 1: see clients, you gotta lockdown that tc W meeting first 276 00:14:32,960 --> 00:14:42,080 Speaker 1: and foremost, I want to talk about the workplace here. 277 00:14:42,120 --> 00:14:44,600 Speaker 1: We've we've talked a lot about the great resignation, four 278 00:14:44,640 --> 00:14:47,280 Speaker 1: to five million folks leaving in the workforce. That's got 279 00:14:47,360 --> 00:14:50,160 Speaker 1: to handle on what it means for women. Are they 280 00:14:50,200 --> 00:14:52,240 Speaker 1: a part of that? Are are they representative of part 281 00:14:52,280 --> 00:14:54,720 Speaker 1: of that great resignation? And will they come back to 282 00:14:54,760 --> 00:14:57,720 Speaker 1: the workforce. Tara J. Frank, President and CEO of t 283 00:14:58,080 --> 00:15:00,800 Speaker 1: f J Career Modeling Jo and just Tara, thanks so 284 00:15:00,880 --> 00:15:03,840 Speaker 1: much for joining us talk to us about women in 285 00:15:03,880 --> 00:15:07,240 Speaker 1: the labor force as we enter into year three this pandemic. 286 00:15:08,320 --> 00:15:11,160 Speaker 1: Hi there, thanks for having me. First of all, Um, Yeah, 287 00:15:11,280 --> 00:15:14,320 Speaker 1: very good question. When you ask about whether women are 288 00:15:14,440 --> 00:15:19,040 Speaker 1: engaged in the Great resignation. They're actually leading the Great resignation. 289 00:15:19,160 --> 00:15:21,680 Speaker 1: And to put a finer point on it, women of 290 00:15:21,720 --> 00:15:24,760 Speaker 1: color are actually leading the Great resignation. And there are 291 00:15:24,760 --> 00:15:27,760 Speaker 1: a lot of reasons for that. Um. I think one, 292 00:15:27,960 --> 00:15:30,200 Speaker 1: when we think about the pandemic and the pressure that 293 00:15:30,240 --> 00:15:32,920 Speaker 1: has put on so many people, it also kind of 294 00:15:33,040 --> 00:15:38,119 Speaker 1: enabled especially women of color, to have virtual faith spaces 295 00:15:38,280 --> 00:15:40,800 Speaker 1: right where they weren't necessarily having to deal with some 296 00:15:40,880 --> 00:15:43,960 Speaker 1: of the things microaggressions, etcetera that they may have been 297 00:15:43,960 --> 00:15:47,280 Speaker 1: dealing with in the workplace. Clearly, the last couple of 298 00:15:47,360 --> 00:15:50,040 Speaker 1: years have given people a little bit more flexibility and 299 00:15:50,400 --> 00:15:54,520 Speaker 1: the opportunity to combine work in life in ways that 300 00:15:54,600 --> 00:15:57,760 Speaker 1: gave them a sense of harmony. So yeah, most definitely 301 00:15:57,880 --> 00:16:01,600 Speaker 1: that would explain for sure how it's easier for women 302 00:16:01,640 --> 00:16:05,920 Speaker 1: of color to work from home, um or how it's 303 00:16:06,280 --> 00:16:09,480 Speaker 1: um you know, not as difficult when it comes to 304 00:16:09,520 --> 00:16:12,520 Speaker 1: the kind of racism or sexism that they may face 305 00:16:12,560 --> 00:16:15,920 Speaker 1: in the work place. But I wonder about those who 306 00:16:15,920 --> 00:16:19,600 Speaker 1: have left the workforce. Have they left because you know, 307 00:16:19,640 --> 00:16:22,920 Speaker 1: out of choice, because they wanted to because now you know, 308 00:16:23,080 --> 00:16:26,280 Speaker 1: I don't know, retirement funds One up with the stock market, 309 00:16:26,440 --> 00:16:28,840 Speaker 1: or they found a way to make it work on 310 00:16:29,320 --> 00:16:32,240 Speaker 1: um less pay, or have they left because they had 311 00:16:32,320 --> 00:16:34,840 Speaker 1: to Those who have left, have they left because they 312 00:16:34,920 --> 00:16:39,520 Speaker 1: needed to take care of children, take care of their elders, etcetera. Well, 313 00:16:39,600 --> 00:16:43,479 Speaker 1: some are leaving the workforce as we define it traditionally, 314 00:16:43,840 --> 00:16:47,240 Speaker 1: but they're not necessarily leaving work, right, So I think 315 00:16:47,280 --> 00:16:49,400 Speaker 1: we have a couple of different facets of this. Yes, 316 00:16:49,440 --> 00:16:52,160 Speaker 1: some are leaving the workforce because they're having to manage 317 00:16:52,160 --> 00:16:56,400 Speaker 1: so many more factors um, But others are leaving companies 318 00:16:56,440 --> 00:17:01,240 Speaker 1: not necessarily the workforce or working in general. Right, they're 319 00:17:01,280 --> 00:17:05,919 Speaker 1: creating new avenues of income in partnership with other people 320 00:17:06,480 --> 00:17:09,480 Speaker 1: with their own kind of creativity and ideas. But yeah, 321 00:17:09,480 --> 00:17:12,600 Speaker 1: they're leaving the traditional workforce as we know it um 322 00:17:12,680 --> 00:17:16,480 Speaker 1: and and really just trying to manage life. So what 323 00:17:16,520 --> 00:17:20,360 Speaker 1: are we seeing in kind of the leadership positions terror 324 00:17:20,400 --> 00:17:22,879 Speaker 1: Because I mean, I think whether it's gender diversity or 325 00:17:22,880 --> 00:17:26,600 Speaker 1: other diverse other types of diversity, it really I kind 326 00:17:26,600 --> 00:17:30,320 Speaker 1: of feel like at the lower levels there's pretty decent representation, 327 00:17:30,400 --> 00:17:32,119 Speaker 1: but it is the higher you go, the more difficult 328 00:17:32,240 --> 00:17:35,840 Speaker 1: it becomes. Again, real diversification, is there some solutions that 329 00:17:36,320 --> 00:17:38,720 Speaker 1: the pay gap. If you if it's like for like 330 00:17:38,960 --> 00:17:41,280 Speaker 1: you know, job for job, maybe that pay gap is 331 00:17:41,320 --> 00:17:44,320 Speaker 1: shrinking a little bit. But I think Terra, your your 332 00:17:44,359 --> 00:17:48,960 Speaker 1: point is that if you look at the unadjusted pay gap, 333 00:17:49,119 --> 00:17:53,920 Speaker 1: it's still large because you don't see UM women, you 334 00:17:53,960 --> 00:17:57,920 Speaker 1: don't see people of color in enough, in high enough 335 00:17:58,000 --> 00:18:02,040 Speaker 1: numbers moving into the leadership higher positions. Yes, that is 336 00:18:02,119 --> 00:18:04,720 Speaker 1: absolutely right. So what we're what we have here is 337 00:18:04,800 --> 00:18:09,560 Speaker 1: essentially occupational segregation. Right, You have women in lower paying jobs, 338 00:18:09,640 --> 00:18:11,879 Speaker 1: and you know, to your question about what can we 339 00:18:11,960 --> 00:18:14,480 Speaker 1: do in in order to change that, I think one 340 00:18:14,480 --> 00:18:16,399 Speaker 1: of the things we really need to do that leaders 341 00:18:16,400 --> 00:18:20,040 Speaker 1: and companies need to do UM is certainly start capturing 342 00:18:20,400 --> 00:18:25,399 Speaker 1: UH data at deeper levels UM, but also interspectional data, 343 00:18:25,520 --> 00:18:28,840 Speaker 1: so not just data about women representation, but really looking 344 00:18:28,920 --> 00:18:32,240 Speaker 1: kind of all across all those dimensions of difference. They 345 00:18:32,280 --> 00:18:34,360 Speaker 1: also need to get a much better sense of what's 346 00:18:34,400 --> 00:18:38,159 Speaker 1: happening inside their cultures experientially, because a lot of this 347 00:18:38,280 --> 00:18:41,480 Speaker 1: bias that is keeping women from being able to move 348 00:18:41,640 --> 00:18:47,040 Speaker 1: higher into those higher contributing positions were not necessarily conscious of. 349 00:18:47,240 --> 00:18:49,719 Speaker 1: They have to do with things like women may not 350 00:18:49,800 --> 00:18:52,600 Speaker 1: always get the same kind of coaching. Women may not 351 00:18:52,720 --> 00:18:56,480 Speaker 1: always have the same degree of visibility. Women and especially 352 00:18:56,480 --> 00:18:59,119 Speaker 1: women of color, may not be being sponsored at the 353 00:18:59,160 --> 00:19:02,720 Speaker 1: same rate, and a lot of this is connected to affinity, bias, 354 00:19:02,840 --> 00:19:06,120 Speaker 1: right proximity. When we have power, which is mostly white 355 00:19:06,119 --> 00:19:09,600 Speaker 1: men in these organizations, everything that comes with the power 356 00:19:09,720 --> 00:19:12,000 Speaker 1: flows to the people who are most like us, and 357 00:19:12,119 --> 00:19:14,720 Speaker 1: women are not benefiting from that. Tara, thank you so 358 00:19:14,800 --> 00:19:18,359 Speaker 1: much for joining us. Really fascinating discussion. Tara J. Frank, 359 00:19:18,800 --> 00:19:22,920 Speaker 1: President and CEO of t f J Career Modeling. Thanks 360 00:19:22,960 --> 00:19:26,399 Speaker 1: for listening to the Bloomberg Markets podcast. You can subscribe 361 00:19:26,440 --> 00:19:30,200 Speaker 1: and listen to interviews with Apple Podcasts or whatever podcast 362 00:19:30,200 --> 00:19:33,760 Speaker 1: platform you prefer. I'm Matt Miller. I'm on Twitter at 363 00:19:33,800 --> 00:19:37,600 Speaker 1: Matt Miller. P on false Sweeney I'm on Twitter at 364 00:19:37,640 --> 00:19:40,480 Speaker 1: pt Sweeney. Before the podcast, you can always catch us 365 00:19:40,520 --> 00:19:41,920 Speaker 1: worldwide at Bloomberg Radio.