1 00:00:00,040 --> 00:00:04,080 Speaker 1: Mark heyfully joined US now CIO UPS Global Math Management. Mark, 2 00:00:04,080 --> 00:00:06,880 Speaker 1: good to see you looking at your forecast your outlook 3 00:00:06,960 --> 00:00:09,600 Speaker 1: for twenty twenty four at forty five hundred. Right now 4 00:00:09,600 --> 00:00:12,840 Speaker 1: in the SMP, you've got softish landing for the economy, 5 00:00:13,080 --> 00:00:16,600 Speaker 1: but very limited upside in the equity market forty seven hundred, Mark, 6 00:00:16,600 --> 00:00:17,800 Speaker 1: can you help us understand that? 7 00:00:19,200 --> 00:00:21,759 Speaker 2: Yeah, I think that's there's a couple of things. First, 8 00:00:21,960 --> 00:00:25,480 Speaker 2: we do prefer bonds to stocks because we think that 9 00:00:25,920 --> 00:00:29,120 Speaker 2: interest rates are going to move lower and that'll that'll 10 00:00:29,160 --> 00:00:29,960 Speaker 2: help the bonds. 11 00:00:30,280 --> 00:00:31,200 Speaker 3: On the stock side. 12 00:00:31,240 --> 00:00:33,599 Speaker 2: You know, we're in a new world, and I'm not 13 00:00:33,640 --> 00:00:36,680 Speaker 2: sure you'd necessarily want to focus just on the S 14 00:00:36,720 --> 00:00:39,800 Speaker 2: and P five hundred. I think in both bonds and 15 00:00:39,840 --> 00:00:44,160 Speaker 2: stocks for next year, we're looking for quality. We're looking 16 00:00:44,200 --> 00:00:48,599 Speaker 2: for those companies that get that high return on invested capital. 17 00:00:49,080 --> 00:00:50,400 Speaker 3: And so you know this. 18 00:00:50,720 --> 00:00:53,280 Speaker 2: You were talking about the tech and we recently about 19 00:00:53,280 --> 00:00:57,160 Speaker 2: two weeks ago, upgraded the US tech sector again in 20 00:00:57,240 --> 00:01:01,320 Speaker 2: part because that's where we're finding quality, and there certainly 21 00:01:01,400 --> 00:01:04,200 Speaker 2: is over the longer term. This kind of big is 22 00:01:04,280 --> 00:01:07,280 Speaker 2: going to do better theme that we want to play on. 23 00:01:07,680 --> 00:01:08,880 Speaker 3: This is really important. 24 00:01:08,920 --> 00:01:11,120 Speaker 4: Mark. When you look at the income statement or the 25 00:01:11,200 --> 00:01:13,479 Speaker 4: dynamics to cash flow in the balance sheet. 26 00:01:14,040 --> 00:01:15,319 Speaker 3: What is it about tech? 27 00:01:15,680 --> 00:01:20,119 Speaker 4: Where on the income statement will we see that reaffirmation 28 00:01:20,800 --> 00:01:25,200 Speaker 4: of quality. Is it sales off nominal GDP or off 29 00:01:25,200 --> 00:01:28,560 Speaker 4: their plan? Is it down the income statement gross margin? 30 00:01:28,920 --> 00:01:31,840 Speaker 4: Or is it used to cash at the bottom. 31 00:01:31,920 --> 00:01:34,520 Speaker 2: Yeah, well, I mean I think it starts at sales. 32 00:01:34,680 --> 00:01:38,520 Speaker 2: Even though a lot of these firms are becoming more 33 00:01:39,080 --> 00:01:42,479 Speaker 2: consumer facing. One of the things that's changed so much 34 00:01:42,480 --> 00:01:46,160 Speaker 2: about tech is you have more of these recurring revenue 35 00:01:46,160 --> 00:01:50,440 Speaker 2: models in tech, which speaks to stabler earnings and earnings 36 00:01:50,520 --> 00:01:54,880 Speaker 2: that can maybe grow as we get that slowing overall 37 00:01:54,920 --> 00:01:58,360 Speaker 2: GDP growth, and then of course it flows from there 38 00:01:58,480 --> 00:02:02,120 Speaker 2: down the income state meant to produce more free cash flow. 39 00:02:02,920 --> 00:02:06,280 Speaker 5: I just think about this article talking about automated capitalism 40 00:02:06,280 --> 00:02:08,320 Speaker 5: over the weekend, which is essentially the revenue streams that 41 00:02:08,360 --> 00:02:10,120 Speaker 5: you're talking about for some of these tech names like 42 00:02:10,400 --> 00:02:13,120 Speaker 5: for example, Apple and the Apple Store. You talk about 43 00:02:13,120 --> 00:02:15,399 Speaker 5: how big is going to be better going forward? Mark, 44 00:02:15,400 --> 00:02:17,400 Speaker 5: does that mean that the Russell two thousand you can 45 00:02:17,440 --> 00:02:19,720 Speaker 5: just basically leave for dead after one of the worst 46 00:02:19,800 --> 00:02:22,000 Speaker 5: underperformances going back decades this year. 47 00:02:23,360 --> 00:02:26,800 Speaker 2: Well, look, we think that, you know, we're going to 48 00:02:26,840 --> 00:02:29,640 Speaker 2: have a soft dish landing, and then I think in 49 00:02:29,680 --> 00:02:33,079 Speaker 2: that scenario some of the more dire predictions for what 50 00:02:33,200 --> 00:02:36,680 Speaker 2: happens with the small caps and that they can't refinance and. 51 00:02:36,680 --> 00:02:38,520 Speaker 3: Things that goes away. 52 00:02:38,600 --> 00:02:42,520 Speaker 2: So I'm not making a super dire prediction on small caps. 53 00:02:42,760 --> 00:02:45,720 Speaker 2: I think the point is, you know where in the 54 00:02:45,760 --> 00:02:49,360 Speaker 2: past you would think, oh, these large tech companies in 55 00:02:49,440 --> 00:02:54,920 Speaker 2: AI can't keep growing. But what's so interesting, you know, 56 00:02:55,320 --> 00:02:58,480 Speaker 2: is that actually these firms that own such a large 57 00:02:58,520 --> 00:03:03,239 Speaker 2: portion of the value chain now and get those insights 58 00:03:03,280 --> 00:03:07,280 Speaker 2: that can train these AI models may have an enduring 59 00:03:07,320 --> 00:03:10,440 Speaker 2: advantage despite the fact that they've been up so much 60 00:03:10,480 --> 00:03:12,800 Speaker 2: this year. And so that's one of the reasons that 61 00:03:12,840 --> 00:03:15,239 Speaker 2: we upgraded the US TECH a few weeks ago. 62 00:03:15,400 --> 00:03:17,360 Speaker 5: And are you leaning more into the AI names, right? 63 00:03:17,400 --> 00:03:19,520 Speaker 5: I mean, tech is not all the same in terms 64 00:03:19,600 --> 00:03:23,280 Speaker 5: of whether it's Apple or whether it's Microsoft. Are you 65 00:03:23,360 --> 00:03:25,919 Speaker 5: bifurcating some of these bets. Are you just saying all 66 00:03:25,960 --> 00:03:28,239 Speaker 5: of them are going to be winners regardless of their niche. 67 00:03:29,440 --> 00:03:32,840 Speaker 2: Well, you know, I think there's a couple of slices 68 00:03:32,880 --> 00:03:35,920 Speaker 2: that this depending on your time horizon I think, you know, 69 00:03:36,040 --> 00:03:38,600 Speaker 2: over the longer term, one of the most exciting things 70 00:03:38,680 --> 00:03:43,240 Speaker 2: is that the AI will broaden out, you know, beyond 71 00:03:43,280 --> 00:03:48,320 Speaker 2: the tech names and and could potentially lead to certain 72 00:03:48,360 --> 00:03:52,040 Speaker 2: disruptive companies having stronger margins, and so we're we're on 73 00:03:52,080 --> 00:03:52,600 Speaker 2: the look for that. 74 00:03:53,000 --> 00:03:54,200 Speaker 3: In the very short term. 75 00:03:54,560 --> 00:03:57,240 Speaker 2: I think one of the things we're looking at is 76 00:03:57,280 --> 00:04:01,760 Speaker 2: that actually, you know, chips can do better here as well, 77 00:04:01,840 --> 00:04:07,400 Speaker 2: so we're looking, say, beyond just software, but also at 78 00:04:07,440 --> 00:04:08,760 Speaker 2: hardware at this time. 79 00:04:08,640 --> 00:04:10,760 Speaker 1: Mark, does this remind you of the Internet boom? And 80 00:04:10,800 --> 00:04:12,520 Speaker 1: do you see it planning out the same way in 81 00:04:12,600 --> 00:04:15,080 Speaker 1: equity markets that you get this sort of frenzy and 82 00:04:15,120 --> 00:04:16,200 Speaker 1: then only if you win. 83 00:04:18,200 --> 00:04:19,760 Speaker 3: You know, I think about that a lot. 84 00:04:19,880 --> 00:04:24,240 Speaker 2: I think that was somewhat different in the sense that, 85 00:04:24,480 --> 00:04:30,040 Speaker 2: you know, what we're specifically talking about now is quality 86 00:04:30,160 --> 00:04:33,600 Speaker 2: and we're talking about free cash flow, and free cash 87 00:04:33,640 --> 00:04:36,080 Speaker 2: flow was not what we were talking about in the 88 00:04:36,080 --> 00:04:39,000 Speaker 2: Internet boom, you know, that was about eyeballs. I'm old 89 00:04:39,080 --> 00:04:42,680 Speaker 2: enough to have lived through it and make this comparison 90 00:04:42,720 --> 00:04:44,520 Speaker 2: and forced the team to look at this a lot. 91 00:04:44,720 --> 00:04:47,080 Speaker 3: But I think we are finding some real differences. 92 00:04:47,760 --> 00:04:49,839 Speaker 4: I want to know what we're going to do with 93 00:04:49,880 --> 00:04:53,000 Speaker 4: this walle of cash. Lawrence MacDonald talks about it one 94 00:04:53,040 --> 00:04:57,200 Speaker 4: of my essays of twenty twenty three, and Mark, we 95 00:04:57,240 --> 00:04:59,240 Speaker 4: all know there's a ton of money out there, but 96 00:04:59,320 --> 00:05:01,880 Speaker 4: does it just like a lead brick or does it 97 00:05:01,920 --> 00:05:03,640 Speaker 4: actually finally get put to work. 98 00:05:05,480 --> 00:05:08,200 Speaker 2: Well, you know, we're urging our clients, and I think 99 00:05:08,240 --> 00:05:11,719 Speaker 2: they're starting to understand that. Right now you can get 100 00:05:11,720 --> 00:05:14,440 Speaker 2: these tremendous yields on cash, and so it's hard to 101 00:05:14,480 --> 00:05:17,640 Speaker 2: move that cash. But as these rates start to come down, 102 00:05:17,920 --> 00:05:20,279 Speaker 2: I think that that will start to move. 103 00:05:20,160 --> 00:05:21,120 Speaker 3: This wall of money. 104 00:05:21,520 --> 00:05:24,720 Speaker 2: And some of it can go into supporting the equity markets, 105 00:05:24,760 --> 00:05:27,480 Speaker 2: and some of it can go into supporting the bond markets, 106 00:05:27,520 --> 00:05:30,960 Speaker 2: and some of it can go into private investments and 107 00:05:31,000 --> 00:05:34,000 Speaker 2: alternative investments as well. And that's why we think this 108 00:05:34,080 --> 00:05:37,440 Speaker 2: is a great time to get your portfolio and balance 109 00:05:37,560 --> 00:05:41,240 Speaker 2: back to what your asset allocation is, you know, and 110 00:05:41,640 --> 00:05:45,160 Speaker 2: maybe forget about rates going negative again and really think 111 00:05:45,200 --> 00:05:47,440 Speaker 2: about what does a proper asset allocation look like. 112 00:05:47,600 --> 00:05:49,200 Speaker 1: I think we all hope we don't go back there 113 00:05:49,320 --> 00:05:52,120 Speaker 1: anytime soon. Matt, thank you, sir, make Hayphuy there if 114 00:05:52,200 --> 00:05:54,719 Speaker 1: ubs glovel Worth Management with their outloat for twenty twenty 115 00:05:54,720 --> 00:05:54,960 Speaker 1: four