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 --> 00:00:15,520 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 Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,599 Speaker 1: at Bloomberg dot com slash podcast. We have a in 7 00:00:22,640 --> 00:00:27,000 Speaker 1: our studio today, met a Bloomberg alumn coming back. Kelly 8 00:00:27,040 --> 00:00:30,400 Speaker 1: Cox joins this year US investment analysts at E Touro 9 00:00:30,600 --> 00:00:32,959 Speaker 1: and a proud graduate of the University of North Carolina 10 00:00:33,040 --> 00:00:35,640 Speaker 1: at Chapel Hill. That's okay, we'll allow her in the 11 00:00:35,680 --> 00:00:39,279 Speaker 1: studio here. Callis have you back? Oh yeah, We're back 12 00:00:39,320 --> 00:00:41,159 Speaker 1: and forth and all about it before. But it's so 13 00:00:41,240 --> 00:00:43,199 Speaker 1: great to be here. And I'll put that aside with 14 00:00:43,400 --> 00:00:47,040 Speaker 1: good stuff. I tell you, last year was so bad. Uh. 15 00:00:47,080 --> 00:00:48,960 Speaker 1: And I know I follow you on Twitter closely. I 16 00:00:49,000 --> 00:00:52,640 Speaker 1: know you make all the historical analogies and analyzes. What 17 00:00:52,720 --> 00:00:54,120 Speaker 1: are you kind of telling? What are you what are 18 00:00:54,120 --> 00:00:57,000 Speaker 1: you telling your clients for about? Can we kind of 19 00:00:57,040 --> 00:01:00,680 Speaker 1: regroup here? Well? Hopefully for our own c entity? Um? 20 00:01:00,720 --> 00:01:03,720 Speaker 1: WELLO was painful. I mean no doubt about that anyway 21 00:01:03,720 --> 00:01:07,920 Speaker 1: you slice it. We're still in a challenging environment. Rates 22 00:01:07,920 --> 00:01:10,320 Speaker 1: are still high, quite high. The FED doesn't seem to 23 00:01:10,400 --> 00:01:12,920 Speaker 1: be backing off too much, and chances are they won't 24 00:01:12,920 --> 00:01:15,640 Speaker 1: back off unless we hit a recession, and obviously nobody 25 00:01:15,640 --> 00:01:18,479 Speaker 1: wants that. That's the worst case scenario. So we're hoping 26 00:01:18,520 --> 00:01:21,560 Speaker 1: we can avoid a recession right now. So far, so good. 27 00:01:22,319 --> 00:01:24,600 Speaker 1: But if we do avoid a recession, we're just cautioning 28 00:01:24,600 --> 00:01:27,080 Speaker 1: people against the fact that we are in a high 29 00:01:27,160 --> 00:01:31,520 Speaker 1: rate environment and that's still a challenging operating environment for companies. 30 00:01:31,560 --> 00:01:34,360 Speaker 1: So I don't think we're there yet, but we're getting closer. So, 31 00:01:34,760 --> 00:01:38,119 Speaker 1: I mean, it's a relatively high rate environment. But we've 32 00:01:38,160 --> 00:01:40,600 Speaker 1: heard a couple of people say we're getting back to 33 00:01:40,640 --> 00:01:43,800 Speaker 1: basics in terms of investing UM. People like bonds again 34 00:01:43,840 --> 00:01:49,160 Speaker 1: after the horrible year of UM. Jeremy Siegel thinks it's 35 00:01:49,200 --> 00:01:52,840 Speaker 1: the decade for dividends, which is kind of cool. I mean, 36 00:01:53,000 --> 00:01:55,520 Speaker 1: you're no longer going to get meme stocks, these crazy 37 00:01:55,560 --> 00:01:58,280 Speaker 1: home runs, get rich off of nothing with your stimmies. 38 00:01:58,360 --> 00:02:03,320 Speaker 1: But maybe you know, with dedicated a savings plan and investments, 39 00:02:03,360 --> 00:02:06,480 Speaker 1: you can you know, grow UM your wealth with income 40 00:02:06,520 --> 00:02:09,480 Speaker 1: and reinvestments. What do you think, Well, I think you're right, Matt. 41 00:02:09,520 --> 00:02:12,360 Speaker 1: I think investors have been forced to shift their mindsets 42 00:02:12,400 --> 00:02:15,160 Speaker 1: towards what's working now and how they can make money 43 00:02:15,160 --> 00:02:19,240 Speaker 1: now because yields are just so healthy and stocks and 44 00:02:19,280 --> 00:02:21,720 Speaker 1: other risk assets just aren't working. And I think it's 45 00:02:21,720 --> 00:02:23,560 Speaker 1: a healthy balance, right, Like you have to have a 46 00:02:23,560 --> 00:02:26,320 Speaker 1: little bit of growth, a little bit of both, excuse me. 47 00:02:27,040 --> 00:02:28,799 Speaker 1: But at the same time, you know, we kind of 48 00:02:28,960 --> 00:02:30,920 Speaker 1: got too far on the growth side of the equation 49 00:02:30,919 --> 00:02:33,520 Speaker 1: and we're coming back, you know. I think it's really important. 50 00:02:33,520 --> 00:02:35,760 Speaker 1: I mean, investors are learning a lot of lessons right now, 51 00:02:35,960 --> 00:02:38,680 Speaker 1: but they're also being forced to pay attention to the 52 00:02:38,680 --> 00:02:41,840 Speaker 1: financial strength of companies that they invest in, and companies 53 00:02:41,880 --> 00:02:44,760 Speaker 1: that actually rise and fault with the economy. That some 54 00:02:44,880 --> 00:02:49,200 Speaker 1: are even economically resistant, the more defensive stocks. So, you know, 55 00:02:49,280 --> 00:02:51,200 Speaker 1: I think it's a good shift back, and I think 56 00:02:51,200 --> 00:02:53,480 Speaker 1: it's going to teach, you know, retail investors in general 57 00:02:54,080 --> 00:02:56,480 Speaker 1: a lot about how markets work. So what are some 58 00:02:56,480 --> 00:02:59,000 Speaker 1: of the sectors you like here? Um, I mean there's 59 00:02:59,000 --> 00:03:02,279 Speaker 1: something to choose. Some are to belief from a evaluation perspective, 60 00:03:02,520 --> 00:03:05,959 Speaker 1: um that we're beaten down where you kind of taught 61 00:03:06,000 --> 00:03:09,320 Speaker 1: tongue your client to start doing some work. So I'm 62 00:03:09,360 --> 00:03:11,960 Speaker 1: generally a cup have full person, I said a few 63 00:03:11,960 --> 00:03:15,600 Speaker 1: minutes ago. It's a challenging environment, but I'm also looking 64 00:03:15,639 --> 00:03:18,280 Speaker 1: to the fact that you know, we know a bowl 65 00:03:18,280 --> 00:03:20,359 Speaker 1: market is after this. We don't know how we get there, 66 00:03:21,000 --> 00:03:23,400 Speaker 1: but we know that cycles exist in the stock market, 67 00:03:23,440 --> 00:03:25,480 Speaker 1: and we will eventually get back into that bowl, even 68 00:03:25,520 --> 00:03:28,760 Speaker 1: if it is painful from here until now. So we're hoping, 69 00:03:29,240 --> 00:03:32,320 Speaker 1: you know, by one step or another, we get there soon. 70 00:03:32,440 --> 00:03:35,720 Speaker 1: And our customers are longer term. Retail investors are longer 71 00:03:35,840 --> 00:03:39,240 Speaker 1: term investors, so we're encouraging them to sew their seeds 72 00:03:39,240 --> 00:03:42,520 Speaker 1: for the next bull market because eventually we see inflation slowing. 73 00:03:42,520 --> 00:03:45,040 Speaker 1: The Feed is committing to get committed to get rates down, 74 00:03:45,560 --> 00:03:47,720 Speaker 1: so you know, we think it's time to prepare for that. Wait, 75 00:03:47,720 --> 00:03:49,320 Speaker 1: why do you mean the FED is committed to get 76 00:03:49,400 --> 00:03:53,000 Speaker 1: rates down? I mean inflation, Okay, But the thing is 77 00:03:53,040 --> 00:03:56,160 Speaker 1: in the FED might not need to cut if we 78 00:03:56,240 --> 00:03:59,400 Speaker 1: don't have a recession, if we get this soft landing 79 00:03:59,440 --> 00:04:01,960 Speaker 1: that Over the past few days more people have been 80 00:04:02,000 --> 00:04:06,400 Speaker 1: optimistic about um the FED could hold at five or 81 00:04:06,440 --> 00:04:08,960 Speaker 1: five and a quarter depending on where they get right. 82 00:04:09,000 --> 00:04:11,440 Speaker 1: But we're in a restrictive environment right now. The FED 83 00:04:11,520 --> 00:04:14,560 Speaker 1: has said that, so eventually they're hoping to get rates 84 00:04:14,600 --> 00:04:17,040 Speaker 1: back down and get inflation back down. Their target is 85 00:04:17,080 --> 00:04:20,840 Speaker 1: two percent so for inflation correct. So we're trying to 86 00:04:20,880 --> 00:04:23,360 Speaker 1: get back to that low inflation environment, and we think 87 00:04:23,400 --> 00:04:26,280 Speaker 1: that low rates would come after that. So if you're 88 00:04:26,279 --> 00:04:28,480 Speaker 1: a long term investor, it's a great environment to prepare 89 00:04:28,560 --> 00:04:30,720 Speaker 1: for what's coming next and maybe you know, load up 90 00:04:30,720 --> 00:04:32,880 Speaker 1: on those cyclicals in the case that we don't hit 91 00:04:32,920 --> 00:04:35,440 Speaker 1: that recession. Of course, be guarded here, you know, look 92 00:04:35,440 --> 00:04:38,440 Speaker 1: at a barbell, look at you know, possibly hedging your positions. 93 00:04:38,480 --> 00:04:41,679 Speaker 1: But we're down about from the highs, and we're seeing 94 00:04:41,680 --> 00:04:45,039 Speaker 1: a lot of value in the financials, the industrials, the 95 00:04:45,080 --> 00:04:48,440 Speaker 1: more cyclical stocks, So you know, why not take a 96 00:04:48,480 --> 00:04:51,800 Speaker 1: look the balanced portfolio that's sixty forty portfolio that a 97 00:04:51,839 --> 00:04:53,719 Speaker 1: lot of folks grew up on that did not work 98 00:04:53,880 --> 00:04:56,479 Speaker 1: last year with fixed income pretty much across the board 99 00:04:56,480 --> 00:05:00,760 Speaker 1: down double digits. UM. I don't im an equity person. 100 00:05:00,800 --> 00:05:04,040 Speaker 1: When I see people tell me we have historic declines 101 00:05:04,080 --> 00:05:07,280 Speaker 1: in fixed income in I'm just naturally calling up my 102 00:05:07,320 --> 00:05:09,880 Speaker 1: advisors and let's just buy some bonds. What are you 103 00:05:09,960 --> 00:05:12,720 Speaker 1: kind of thinking about the fixed income space this year? Well, Paul, 104 00:05:12,800 --> 00:05:15,040 Speaker 1: that's smart. I think a lot of financial advisors are 105 00:05:15,040 --> 00:05:18,240 Speaker 1: telling their clients to do that. Uh, yeah, you're right. 106 00:05:18,279 --> 00:05:20,440 Speaker 1: We saw a pretty unprecedented year when it came to 107 00:05:20,440 --> 00:05:22,400 Speaker 1: stock and bond of clients. And I think that's why 108 00:05:22,400 --> 00:05:26,200 Speaker 1: it was so painful, because it felt like nothing worked. Uh. 109 00:05:26,240 --> 00:05:28,960 Speaker 1: You know, usually when stocks fall, bonds compensate for it, 110 00:05:29,000 --> 00:05:31,520 Speaker 1: and that just didn't happen. Uh. And we think as 111 00:05:31,560 --> 00:05:34,240 Speaker 1: we had into a recession obviously, or we don't know 112 00:05:34,240 --> 00:05:36,480 Speaker 1: if a recession is coming. Excuse me, but you know, 113 00:05:36,720 --> 00:05:39,320 Speaker 1: if we had into a recession, we could see people 114 00:05:39,400 --> 00:05:41,880 Speaker 1: lean more on bonds for their safety. You know, we're 115 00:05:41,880 --> 00:05:44,000 Speaker 1: already seeing that too with the tenure coming down from 116 00:05:44,040 --> 00:05:47,320 Speaker 1: about four point five percent to three point five percent. So, 117 00:05:48,000 --> 00:05:50,039 Speaker 1: you know, never say never. We don't know what happens 118 00:05:50,080 --> 00:05:51,839 Speaker 1: in the future. I don't have a crystal ball, but 119 00:05:51,880 --> 00:05:53,440 Speaker 1: you'd think that there there would have to be some 120 00:05:53,480 --> 00:05:58,000 Speaker 1: balance coming back out there. In terms of valuations. I mean, 121 00:05:58,200 --> 00:06:01,280 Speaker 1: I look at this stock market and think we're still 122 00:06:01,320 --> 00:06:05,240 Speaker 1: not looking at cheap stocks, right, Um, in terms of 123 00:06:05,240 --> 00:06:08,560 Speaker 1: the broader market, we're still looking at seventeen times earnings, 124 00:06:08,600 --> 00:06:12,279 Speaker 1: so or or eighteen times earnings. So where do you 125 00:06:12,320 --> 00:06:14,440 Speaker 1: think we need to go before you start putting your 126 00:06:14,440 --> 00:06:18,359 Speaker 1: money to work in a in a hefty way. Well, 127 00:06:18,560 --> 00:06:21,120 Speaker 1: if you think about it, seventeen or eighteen times earnings 128 00:06:21,200 --> 00:06:23,799 Speaker 1: is about average for what we've seen over the past decade. 129 00:06:23,839 --> 00:06:26,240 Speaker 1: And this past decade has not been average. I'll give you. 130 00:06:26,400 --> 00:06:29,039 Speaker 1: I was going to say it's a zero inters rate decade, 131 00:06:29,080 --> 00:06:32,279 Speaker 1: but yeah, correct, correct, Like there's context there. But I 132 00:06:32,279 --> 00:06:34,960 Speaker 1: think it's also important to remember that there are there's 133 00:06:35,000 --> 00:06:39,480 Speaker 1: a lot of dispersion insectors. UM tech does look expensive still, 134 00:06:39,800 --> 00:06:42,320 Speaker 1: um some cyclicals do look a little bit cheaper. I 135 00:06:42,360 --> 00:06:44,240 Speaker 1: thought it was interesting, you know that the stocks that 136 00:06:44,279 --> 00:06:47,520 Speaker 1: actually did really well last year, the industrials of the world, 137 00:06:47,520 --> 00:06:50,520 Speaker 1: the materials of the world, are still attractively valued when 138 00:06:50,520 --> 00:06:52,800 Speaker 1: you look at their price to free cash flow. So 139 00:06:52,920 --> 00:06:55,159 Speaker 1: I think that there's still a little bit of you know, 140 00:06:55,240 --> 00:06:57,719 Speaker 1: rebalancing that needs to be done there. But you know, 141 00:06:57,839 --> 00:07:00,839 Speaker 1: at the same time, I wouldn't be talked to see 142 00:07:00,880 --> 00:07:04,440 Speaker 1: the market accept evaluation here except the current valuations here. 143 00:07:04,480 --> 00:07:06,960 Speaker 1: If we don't fall into a recession. Yeah, that's one 144 00:07:07,000 --> 00:07:09,400 Speaker 1: of the things we're speaking with Kylie Cox, us investment 145 00:07:09,560 --> 00:07:12,880 Speaker 1: analyst at tro the question about evaluation. You kind of 146 00:07:12,920 --> 00:07:15,120 Speaker 1: have to talk about earnings as we get to kick 147 00:07:15,160 --> 00:07:17,120 Speaker 1: off another earning season at the end of this week 148 00:07:17,120 --> 00:07:20,080 Speaker 1: with some of the big banks UM people calling out 149 00:07:20,120 --> 00:07:23,400 Speaker 1: earnings risk as a material risk to this market here 150 00:07:23,440 --> 00:07:27,160 Speaker 1: that estimates have not come down enough. Um, how do 151 00:07:27,200 --> 00:07:30,000 Speaker 1: you think about that? So earnings for us are the 152 00:07:30,080 --> 00:07:33,520 Speaker 1: determinant one of the things we're watching as we question 153 00:07:33,600 --> 00:07:36,400 Speaker 1: if we're heading into a recession, because typically you see 154 00:07:36,400 --> 00:07:39,600 Speaker 1: earnings fall about s ANDP earnings I'm talking fall about 155 00:07:40,720 --> 00:07:43,320 Speaker 1: during recession. That's the average of all recessions we've seen 156 00:07:43,360 --> 00:07:46,600 Speaker 1: since nineteen fifty. Right now, it looks like earnings could 157 00:07:46,800 --> 00:07:51,560 Speaker 1: drop about you know, two to five in the fourth quarter, 158 00:07:51,880 --> 00:07:54,360 Speaker 1: or you know, we're talking backwards, so they could have 159 00:07:54,440 --> 00:07:56,720 Speaker 1: dropped two to four percent in the fourth quarter. You know, 160 00:07:56,800 --> 00:08:00,520 Speaker 1: that's nowhere nearer recession. That doesn't look like a bad 161 00:08:00,640 --> 00:08:03,520 Speaker 1: hit to us yet. So we're watching earnings to judge 162 00:08:03,560 --> 00:08:06,320 Speaker 1: the degree of this pullback, if you know, if it 163 00:08:06,320 --> 00:08:11,000 Speaker 1: falls into recessionary territory and if it justifies stocks possibly 164 00:08:11,320 --> 00:08:14,560 Speaker 1: finding the bottom again. Um, And we think earnings are 165 00:08:14,600 --> 00:08:16,560 Speaker 1: the thing to watch. Obviously the job market, I mean, 166 00:08:16,600 --> 00:08:18,480 Speaker 1: the job market has the leading indicators that we're not 167 00:08:18,520 --> 00:08:21,240 Speaker 1: seeing a ton of weakness and yet, but earnings will 168 00:08:21,280 --> 00:08:23,600 Speaker 1: ultimately tell us I think where it settled out here, 169 00:08:23,640 --> 00:08:26,280 Speaker 1: and right now, we think the market has priced in 170 00:08:26,480 --> 00:08:28,760 Speaker 1: a slight earnings pullback and that's what we're seeing. That's 171 00:08:28,880 --> 00:08:31,040 Speaker 1: that's the kind of argument to there's there's earnings risk 172 00:08:31,040 --> 00:08:32,800 Speaker 1: out there. The kind of argument is that the markets 173 00:08:32,800 --> 00:08:35,040 Speaker 1: price that in already. Yeah, I just don't know. I 174 00:08:35,080 --> 00:08:37,320 Speaker 1: have no idea, But I think once we get past 175 00:08:37,440 --> 00:08:39,480 Speaker 1: this cycle, I'm like, all right, I'm done with the 176 00:08:39,520 --> 00:08:43,640 Speaker 1: earnings risk story. But you mean once we get pastor 177 00:08:43,760 --> 00:08:46,400 Speaker 1: well this this next quarter, oh, I see Q four. 178 00:08:46,480 --> 00:08:49,560 Speaker 1: So once we get you know, basically Friday's big bank earnings. 179 00:08:49,760 --> 00:08:51,560 Speaker 1: I mean, how much does that matter to you when 180 00:08:51,559 --> 00:08:53,320 Speaker 1: when we when we see the numbers on Friday, how 181 00:08:53,320 --> 00:08:55,959 Speaker 1: closely we need pay attention because they're like six or 182 00:08:56,040 --> 00:08:59,200 Speaker 1: seven big banks reporting on Friday. Well, big banks are 183 00:08:59,240 --> 00:09:01,160 Speaker 1: the forefront of the economy. I think you need to 184 00:09:01,160 --> 00:09:03,400 Speaker 1: pay attention to them. We've heard a lot of cautious 185 00:09:03,440 --> 00:09:06,640 Speaker 1: rhetoric coming out of the banks, but overall their earnings 186 00:09:06,679 --> 00:09:09,679 Speaker 1: have been decent. They've been surprising to the upside. I 187 00:09:09,760 --> 00:09:11,920 Speaker 1: was actually parsing through earnings data last night, and I 188 00:09:11,920 --> 00:09:15,280 Speaker 1: thought it was interesting that a lot of services sectors 189 00:09:15,280 --> 00:09:17,600 Speaker 1: are expected to see the bigger earnings hit in this 190 00:09:17,720 --> 00:09:20,520 Speaker 1: quarter in subsequent quarters, which is interesting if you think 191 00:09:20,520 --> 00:09:22,719 Speaker 1: about it, because the balance that we saw last year 192 00:09:22,840 --> 00:09:25,720 Speaker 1: was a lot of services spending less good spending. So 193 00:09:25,880 --> 00:09:27,920 Speaker 1: coming into this earning season, I'm going to be watching 194 00:09:27,920 --> 00:09:30,640 Speaker 1: the services sectors. You know, banks fall into that, Um, 195 00:09:30,679 --> 00:09:34,599 Speaker 1: they're very consumer oriented. Um. You know, the more software 196 00:09:34,640 --> 00:09:38,880 Speaker 1: companies fall into that because I just travel, for example, 197 00:09:38,920 --> 00:09:41,719 Speaker 1: because I just don't think that there has been enough 198 00:09:41,720 --> 00:09:45,840 Speaker 1: pessimism priced in there and the commentary is gonna matter. Yep, 199 00:09:45,960 --> 00:09:49,360 Speaker 1: Absolutely forward guidance, all that good stuff. Kelly Cox us 200 00:09:49,400 --> 00:09:51,719 Speaker 1: investment analysts for Etorro, joining us live here in the 201 00:09:51,720 --> 00:09:55,760 Speaker 1: Bloomberg Interactive Broker Studio, U n C grad former reporter 202 00:09:55,920 --> 00:09:59,360 Speaker 1: at Bloomberg's Analysts at four or five shops, and now 203 00:09:59,400 --> 00:10:03,320 Speaker 1: she's got her at E Touro based in Charlotte, North Carolina. 204 00:10:03,360 --> 00:10:06,000 Speaker 1: Thanks so much for joining us in studio. So that's 205 00:10:06,000 --> 00:10:07,760 Speaker 1: it for me, Met on the earning stress story. Once 206 00:10:07,800 --> 00:10:09,319 Speaker 1: we get past the next three or four weeks, I 207 00:10:09,360 --> 00:10:13,079 Speaker 1: got all my guidance for three that's it. I mean, 208 00:10:13,080 --> 00:10:15,400 Speaker 1: I think everybody's gonna give guidance that's gonna assume a 209 00:10:15,480 --> 00:10:18,200 Speaker 1: modest kind of slowdown slash recession. And then, you know, 210 00:10:18,240 --> 00:10:20,360 Speaker 1: I feel like we could get a kitchen sync quarter 211 00:10:20,760 --> 00:10:24,959 Speaker 1: because because of because the recession was such a huge worry, 212 00:10:25,080 --> 00:10:27,000 Speaker 1: especially a couple of weeks ago. You know, people have 213 00:10:27,040 --> 00:10:29,800 Speaker 1: gotten more optimistic recently, but the work has been done 214 00:10:29,840 --> 00:10:32,920 Speaker 1: on the earnings reports, and I feel like a lot 215 00:10:32,960 --> 00:10:36,079 Speaker 1: of CEOs will say I'm throwing everything at this quarter. 216 00:10:40,080 --> 00:10:44,200 Speaker 1: We have a CEO in the studio with us. Wendy 217 00:10:44,240 --> 00:10:48,800 Speaker 1: Thomas joins us. She runs Secure Works NASDAC ticker s 218 00:10:48,880 --> 00:10:54,720 Speaker 1: c w X. They are security as a service company, right, 219 00:10:54,720 --> 00:10:57,880 Speaker 1: Wendy tell us a brief history of Secure Works and 220 00:10:57,920 --> 00:11:00,960 Speaker 1: what you're doing. Sure, So, Securic has been through an 221 00:11:00,960 --> 00:11:05,720 Speaker 1: important transformation to a security sas platform to really address 222 00:11:05,800 --> 00:11:08,040 Speaker 1: the challenges we've seen in security over the last twenty 223 00:11:08,080 --> 00:11:11,840 Speaker 1: plus years. So we were founded as a security services 224 00:11:12,000 --> 00:11:16,600 Speaker 1: organization and then looking to address security challenges largely with 225 00:11:16,960 --> 00:11:20,520 Speaker 1: very expert security folks. But what we found is that 226 00:11:20,520 --> 00:11:24,680 Speaker 1: that we needed a new technology, machine learning AI approach 227 00:11:24,760 --> 00:11:27,800 Speaker 1: to solving securities challenges, and that's what we launched a 228 00:11:27,840 --> 00:11:30,600 Speaker 1: few years ago, the TAGES platform, and so our business 229 00:11:30,640 --> 00:11:33,720 Speaker 1: model has been in a pretty significant transition to addressing 230 00:11:33,720 --> 00:11:35,440 Speaker 1: security through that plant. So what do you expect in 231 00:11:36,160 --> 00:11:38,080 Speaker 1: three As you know, Paul and I talked to so 232 00:11:38,120 --> 00:11:41,679 Speaker 1: many people who say to us that cybersecurity is one 233 00:11:41,679 --> 00:11:43,520 Speaker 1: of the number one issues, one of the number one 234 00:11:43,520 --> 00:11:46,960 Speaker 1: threats facing companies, And of course we report on so 235 00:11:47,080 --> 00:11:50,559 Speaker 1: many hacks and thefts and data leaks over the past, 236 00:11:50,679 --> 00:11:52,640 Speaker 1: not just this year, but over the past five or 237 00:11:52,679 --> 00:11:56,760 Speaker 1: six or seven years. UM, how does the growth look 238 00:11:56,800 --> 00:12:00,959 Speaker 1: to you from from this transition vantage point? Sure? I 239 00:12:00,960 --> 00:12:04,040 Speaker 1: mean our growth has been outsized in comparison to the 240 00:12:04,080 --> 00:12:07,640 Speaker 1: market in terms of our tageous XDR platform. What what 241 00:12:07,800 --> 00:12:10,320 Speaker 1: I see more generally in the security space, Clearly there's 242 00:12:10,320 --> 00:12:13,760 Speaker 1: a broader economic backdrop right now in terms of pressure, 243 00:12:14,040 --> 00:12:18,360 Speaker 1: but security is simply something that companies cannot just dispense with. 244 00:12:19,040 --> 00:12:21,640 Speaker 1: What I see right now is that companies have an 245 00:12:21,640 --> 00:12:26,040 Speaker 1: opportunity with with the type of technology that TAGES brings 246 00:12:26,080 --> 00:12:28,720 Speaker 1: to actually reduce their total security spend, kind of like 247 00:12:28,760 --> 00:12:31,040 Speaker 1: you didn't need a you'll need a separate camera from 248 00:12:31,040 --> 00:12:33,000 Speaker 1: your phone or separate GPS device from your phone. You 249 00:12:33,000 --> 00:12:36,440 Speaker 1: can consolidate your security spend into a platform approach to 250 00:12:36,520 --> 00:12:40,520 Speaker 1: save money and get a better security posture. Broadly, speaking 251 00:12:40,520 --> 00:12:43,080 Speaker 1: with the clients, do you deal with Wendy, what percentage 252 00:12:43,120 --> 00:12:47,160 Speaker 1: of their tech spend every every year is cybersecurity versus 253 00:12:47,160 --> 00:12:50,439 Speaker 1: maybe just hardware upgrades of software upgrades. Yeah, it's a 254 00:12:50,480 --> 00:12:52,679 Speaker 1: great question because rules of thumb are really important when 255 00:12:52,679 --> 00:12:54,480 Speaker 1: you're trying to look at your spend, and there's a 256 00:12:54,480 --> 00:12:57,199 Speaker 1: couple of I would look at depending on your industry, 257 00:12:57,800 --> 00:13:00,559 Speaker 1: somewhere between four and as much as ten percent of 258 00:13:00,600 --> 00:13:03,880 Speaker 1: your total I T spend is generally on security. That's 259 00:13:03,920 --> 00:13:06,760 Speaker 1: what that's what good looks like. If you want to 260 00:13:06,800 --> 00:13:11,679 Speaker 1: translate that into employees on average, we see see organizations, 261 00:13:11,760 --> 00:13:14,040 Speaker 1: not the largest organizations, but you know, your small medium 262 00:13:14,080 --> 00:13:18,080 Speaker 1: businesses six hundred dollars per employee on average for a year, 263 00:13:18,400 --> 00:13:22,319 Speaker 1: but can be as much as again depending on your 264 00:13:22,360 --> 00:13:26,680 Speaker 1: business model and your I T estate. So um, we 265 00:13:26,720 --> 00:13:29,839 Speaker 1: have heard kind of conflicting reports in terms of I 266 00:13:30,000 --> 00:13:32,520 Speaker 1: T spending plans. For the most part, it seems that 267 00:13:32,559 --> 00:13:35,200 Speaker 1: people are gonna pull back on I T spending. But 268 00:13:35,679 --> 00:13:38,000 Speaker 1: we were talking with Honora Rata Rata and man Deep 269 00:13:38,000 --> 00:13:43,120 Speaker 1: Sing yesterday from Business Bloomberg Intelligence, and they were saying 270 00:13:43,320 --> 00:13:45,840 Speaker 1: that in some places, for instance, in cloud, you're gonna 271 00:13:45,880 --> 00:13:48,960 Speaker 1: see an increase in spending three. I feel like, if 272 00:13:48,960 --> 00:13:50,839 Speaker 1: you're going to increase your cloud spend, you've got to 273 00:13:50,840 --> 00:13:53,480 Speaker 1: be boosting your security spend as well. Is that wrong? No? 274 00:13:53,640 --> 00:13:56,640 Speaker 1: I think the mix of spend is absolutely shifting. So 275 00:13:56,679 --> 00:13:58,440 Speaker 1: it may be that the total is under pressure, but 276 00:13:58,480 --> 00:14:01,160 Speaker 1: the mix to get the yield in terms of automation 277 00:14:01,160 --> 00:14:04,600 Speaker 1: for your business and flexibility UH is going to go 278 00:14:04,760 --> 00:14:07,559 Speaker 1: up in areas like cloud and security. So we continue 279 00:14:07,600 --> 00:14:12,760 Speaker 1: to see security spend um increasing year over year. I 280 00:14:12,800 --> 00:14:16,320 Speaker 1: think the question is where's the opportunity to make a 281 00:14:16,320 --> 00:14:20,160 Speaker 1: step function change in your security investments to again get 282 00:14:20,240 --> 00:14:24,240 Speaker 1: your get your security posture much higher relative to the 283 00:14:24,240 --> 00:14:26,680 Speaker 1: breaches we continue to see in the marketplace. So for 284 00:14:26,720 --> 00:14:31,080 Speaker 1: secure works, what's your typical customer and what's their typical 285 00:14:31,280 --> 00:14:33,680 Speaker 1: need that you're trying to kind of meet for them? 286 00:14:33,720 --> 00:14:38,600 Speaker 1: Sure that the typical customer needs UH simple security, and 287 00:14:38,640 --> 00:14:40,960 Speaker 1: they don't want to have to bring a large security 288 00:14:40,960 --> 00:14:43,480 Speaker 1: staff in house. They want to make sure that their 289 00:14:43,520 --> 00:14:45,520 Speaker 1: business is up and running and that they don't have 290 00:14:45,680 --> 00:14:48,800 Speaker 1: damages from breaches, and that they can ensure themselves. From 291 00:14:48,800 --> 00:14:52,680 Speaker 1: a cyber insurance perspective, we check all of those those boxes. 292 00:14:52,880 --> 00:14:57,040 Speaker 1: They as cyber insurance. We do not sell cyber insurance, 293 00:14:57,080 --> 00:15:01,040 Speaker 1: but by having a costure yes, absolutely late and in 294 00:15:01,080 --> 00:15:03,480 Speaker 1: fact it's if you've if you've read the headlines. Because 295 00:15:03,480 --> 00:15:06,080 Speaker 1: of all the breaches over the past few years, the 296 00:15:06,120 --> 00:15:09,040 Speaker 1: cyber insurance market is really contracted in terms of much 297 00:15:09,120 --> 00:15:13,280 Speaker 1: more rigorous underwriting and rising rates. So the ability to 298 00:15:13,320 --> 00:15:17,280 Speaker 1: demonstrate controls around the part of your business that generates 299 00:15:17,280 --> 00:15:19,920 Speaker 1: your revenue or your cash flow is an important part 300 00:15:19,960 --> 00:15:23,880 Speaker 1: to being able to cost effectively ensure your organization. I see. So, 301 00:15:24,160 --> 00:15:27,480 Speaker 1: just like with car insurance, if I can demonstrate that 302 00:15:27,560 --> 00:15:31,080 Speaker 1: I have a decent security system on my vehicle, I'll 303 00:15:31,080 --> 00:15:34,960 Speaker 1: get a discount from my insure that ensure cyber insurance 304 00:15:35,000 --> 00:15:36,920 Speaker 1: is the same with businesses. They'll say, all right, if 305 00:15:36,920 --> 00:15:39,160 Speaker 1: you have secure works, we'll give you a better rate. 306 00:15:39,240 --> 00:15:41,520 Speaker 1: Show me that. And so we work with cyber insurers 307 00:15:41,560 --> 00:15:45,720 Speaker 1: around incident response as well as putting the kinds of 308 00:15:46,000 --> 00:15:50,120 Speaker 1: security controls in place that help those customers reduce that 309 00:15:50,400 --> 00:15:52,840 Speaker 1: that rate. Where do you think your clients are just 310 00:15:52,880 --> 00:15:56,760 Speaker 1: maybe companies in general are under investing today, and as 311 00:15:56,800 --> 00:16:02,240 Speaker 1: it relates to their cybersecurity platform, they tend to undervest 312 00:16:02,280 --> 00:16:04,560 Speaker 1: in two two areas. One, they try to go it 313 00:16:04,600 --> 00:16:06,920 Speaker 1: alone with people. That just doesn't make a lot of sense. 314 00:16:06,920 --> 00:16:10,360 Speaker 1: You can actually get more for less spend by having 315 00:16:10,360 --> 00:16:12,680 Speaker 1: an expert partner like secure works. So they try to 316 00:16:12,680 --> 00:16:15,560 Speaker 1: do it in house. Okay, they do, and it had 317 00:16:15,600 --> 00:16:18,480 Speaker 1: just given the diversity of skill sets required in security 318 00:16:18,520 --> 00:16:21,600 Speaker 1: today because you let the technology do what it does 319 00:16:21,640 --> 00:16:24,520 Speaker 1: in terms of the XDR platform, so the people who 320 00:16:24,560 --> 00:16:26,880 Speaker 1: are then working on the things that the platform can't 321 00:16:26,880 --> 00:16:29,840 Speaker 1: solved need to be much more expert. And the second 322 00:16:29,920 --> 00:16:33,120 Speaker 1: is it remains true that just the basics of security 323 00:16:33,120 --> 00:16:37,480 Speaker 1: prevention can prevent the majority of security attacks. And so 324 00:16:37,480 --> 00:16:39,960 Speaker 1: when we see the ability to have a second way 325 00:16:39,960 --> 00:16:43,080 Speaker 1: to authenticate that it is you logging into the system, 326 00:16:43,080 --> 00:16:45,280 Speaker 1: that goes a long way to preventing a large number 327 00:16:45,320 --> 00:16:49,080 Speaker 1: of the sort of commodity criminal cyber attacks. I look 328 00:16:49,120 --> 00:16:52,320 Speaker 1: at your stock tickers, s C w X on the 329 00:16:52,400 --> 00:16:56,720 Speaker 1: nasdack UM and I put it up against you know, 330 00:16:56,720 --> 00:17:00,640 Speaker 1: the NASDAC or the Russell two thousand or the Technology 331 00:17:00,720 --> 00:17:04,840 Speaker 1: index on the Russell, it looks like you've really outperformed 332 00:17:04,880 --> 00:17:09,720 Speaker 1: in booms and underperformed in busts. Uh, why do you 333 00:17:09,760 --> 00:17:13,240 Speaker 1: think that is? Why? Why are investors making more volatile, 334 00:17:13,320 --> 00:17:16,119 Speaker 1: dramatic moves with your stocks? And they are. There's to 335 00:17:16,600 --> 00:17:19,120 Speaker 1: two elements to that. One is our business model has 336 00:17:19,119 --> 00:17:22,800 Speaker 1: been in a transition from a services led organization to 337 00:17:23,000 --> 00:17:26,480 Speaker 1: a technology lead approach to security, and in the midst 338 00:17:26,480 --> 00:17:30,240 Speaker 1: of exiting some of those non strategic services, the total 339 00:17:30,280 --> 00:17:33,280 Speaker 1: top line has been under pressure, which is why we 340 00:17:33,359 --> 00:17:37,359 Speaker 1: talk about the TAGES platform and the air are associated 341 00:17:37,400 --> 00:17:40,359 Speaker 1: with that growing eighty percent year over a year, you know, 342 00:17:40,800 --> 00:17:43,760 Speaker 1: two million lesson three years after launch. So it's it's 343 00:17:43,760 --> 00:17:46,879 Speaker 1: a rapidly growing area of security and emerging market trend. 344 00:17:47,400 --> 00:17:50,280 Speaker 1: So you do need investors to look underneath the covers 345 00:17:50,320 --> 00:17:53,280 Speaker 1: to see the opportunity in the in the valuation and 346 00:17:53,359 --> 00:17:56,800 Speaker 1: the business transition. We're gonna hit this at the end 347 00:17:56,840 --> 00:17:59,000 Speaker 1: of this year. We've said we're gonna exit probably more 348 00:17:59,040 --> 00:18:01,320 Speaker 1: than eight percent of the news on the new platform, 349 00:18:01,440 --> 00:18:03,960 Speaker 1: so the end of that time is coming. Michael Dell 350 00:18:04,440 --> 00:18:07,320 Speaker 1: is your largest shareholder, is your chairman of the board. 351 00:18:07,680 --> 00:18:09,919 Speaker 1: What's it like working from Michael Dell? He is an 352 00:18:09,920 --> 00:18:14,040 Speaker 1: amazing entrepreneur. So this is an individual who understands how 353 00:18:14,040 --> 00:18:18,000 Speaker 1: to grow businesses, is invigorated around going businesses and really 354 00:18:18,040 --> 00:18:22,560 Speaker 1: going to speak to their their pain points. He is 355 00:18:22,840 --> 00:18:26,920 Speaker 1: a big supporter of the the importance of merging security 356 00:18:26,960 --> 00:18:29,000 Speaker 1: with the technology story for ce i os and not 357 00:18:29,119 --> 00:18:31,520 Speaker 1: just s sos, and sees a lot of synergies in 358 00:18:31,640 --> 00:18:34,639 Speaker 1: terms of those types of investments that must be fascinating 359 00:18:34,680 --> 00:18:37,639 Speaker 1: and and a little scary. I would think Wendy Thomas uh, 360 00:18:37,720 --> 00:18:41,240 Speaker 1: CEO and president of Secure Works public trader company s 361 00:18:41,240 --> 00:18:44,320 Speaker 1: cw X there in town speaking at the need Him conference, 362 00:18:44,320 --> 00:18:46,080 Speaker 1: which is a great conference. A lot of really cool 363 00:18:46,119 --> 00:18:49,280 Speaker 1: small mid cap tech media names are good. Friend Lauren 364 00:18:49,320 --> 00:18:51,840 Speaker 1: Martin is a big, big part of that team there 365 00:18:51,840 --> 00:18:54,040 Speaker 1: and need Him so good to see Secure Works out 366 00:18:54,080 --> 00:18:55,960 Speaker 1: in front of clients. Good to see everybody out and 367 00:18:56,000 --> 00:19:01,280 Speaker 1: about doing stuff. I want to get to the story here. 368 00:19:01,400 --> 00:19:06,879 Speaker 1: Microsoft gonna potentially invest ten billion dollars open ai and 369 00:19:07,040 --> 00:19:10,640 Speaker 1: open ai, which would give it an Open AI evaluation 370 00:19:10,680 --> 00:19:13,160 Speaker 1: about twenty nine billion dollars. So I'm going to start 371 00:19:13,200 --> 00:19:15,080 Speaker 1: with the most basic with an a Rock Rana, he's 372 00:19:15,080 --> 00:19:19,840 Speaker 1: our Bloomberg Intelligence. What is open AI? What for? For 373 00:19:20,280 --> 00:19:22,480 Speaker 1: you know, I mean Mats a lot. You know, he's 374 00:19:22,520 --> 00:19:24,600 Speaker 1: not as tex savvy as Iron, but so for mats 375 00:19:24,600 --> 00:19:26,439 Speaker 1: sake and maybe for some of our listeners, what is 376 00:19:26,480 --> 00:19:31,159 Speaker 1: open AI? So you have a number of artificial intelligence 377 00:19:31,160 --> 00:19:35,239 Speaker 1: companies that are basically building algorithms to make you know, 378 00:19:35,320 --> 00:19:37,479 Speaker 1: some kind of function good. So they have a they 379 00:19:37,480 --> 00:19:40,560 Speaker 1: have a product called chat GPT and it works like 380 00:19:40,600 --> 00:19:42,280 Speaker 1: a search function. I mean, you go and type in 381 00:19:42,320 --> 00:19:44,600 Speaker 1: and says, you know, how should I invest and will 382 00:19:44,640 --> 00:19:47,080 Speaker 1: give you a very complicated answer or a very simple 383 00:19:47,119 --> 00:19:49,560 Speaker 1: answer to any of those things. So it is it 384 00:19:49,720 --> 00:19:55,560 Speaker 1: is really products like that or anything that enhances the 385 00:19:55,600 --> 00:19:58,600 Speaker 1: insights that anybody can can can get on the data. 386 00:19:58,680 --> 00:20:01,080 Speaker 1: That's underline. So it it is a bit, it's it's 387 00:20:01,119 --> 00:20:03,840 Speaker 1: it's not as complicated as it sounds. It's practically it's 388 00:20:03,880 --> 00:20:08,280 Speaker 1: like a search box. Sounds like Watson again, but exactly, 389 00:20:08,520 --> 00:20:12,080 Speaker 1: you are absolutely right. It is like Watson. But the 390 00:20:12,160 --> 00:20:16,359 Speaker 1: results for chat GPT has been really good. And Microsoft 391 00:20:16,480 --> 00:20:18,439 Speaker 1: is already an investor. It's not as if it's not 392 00:20:18,480 --> 00:20:21,919 Speaker 1: an investor right now, UM, but it's it seems that 393 00:20:22,040 --> 00:20:25,120 Speaker 1: the company has a very high valuation and somebody might 394 00:20:25,160 --> 00:20:27,680 Speaker 1: want to take it. So a I'd like to see 395 00:20:27,760 --> 00:20:31,199 Speaker 1: chat gpt, then take on Watson on Jeopardy, Yes, and 396 00:20:31,280 --> 00:20:36,080 Speaker 1: be jing and buh what do they call it? When 397 00:20:36,080 --> 00:20:39,240 Speaker 1: it kind of like turns human? Is Is it possible 398 00:20:39,320 --> 00:20:42,560 Speaker 1: that it's going to develop its own Was it? No? 399 00:20:42,720 --> 00:20:45,760 Speaker 1: There was? There was? There was? Wasn't there a Google 400 00:20:46,359 --> 00:20:50,360 Speaker 1: UM employee who was worried that the AI they were 401 00:20:50,400 --> 00:20:55,960 Speaker 1: developing had become sentient? Do you remember that? Yeah, there's 402 00:20:56,000 --> 00:20:57,719 Speaker 1: a lot of that stories. But to remember it's not 403 00:20:57,800 --> 00:21:00,280 Speaker 1: as if, you know, Microsoft is just going to use 404 00:21:00,359 --> 00:21:04,000 Speaker 1: the chat GPT function. They're basically going to look at 405 00:21:04,040 --> 00:21:06,680 Speaker 1: the algorithms and the way this is written and then 406 00:21:06,720 --> 00:21:09,480 Speaker 1: and most likely again this is just my speculation, it's 407 00:21:09,480 --> 00:21:13,000 Speaker 1: going to be UM enhance the productivity features of a 408 00:21:13,000 --> 00:21:15,640 Speaker 1: lot of their suites that they have, you know, let's 409 00:21:15,680 --> 00:21:20,120 Speaker 1: say office suite or LinkedIn or being for search. Think 410 00:21:20,160 --> 00:21:22,119 Speaker 1: about it this way. If you are a salesperson and 411 00:21:22,200 --> 00:21:24,159 Speaker 1: you walk in every day and say, you know you 412 00:21:24,200 --> 00:21:26,879 Speaker 1: are your best bet today is to go out and 413 00:21:26,920 --> 00:21:30,000 Speaker 1: make a sales pitch to Paul because the likelihood of 414 00:21:30,080 --> 00:21:31,960 Speaker 1: him closing a deal over the next few days is 415 00:21:32,080 --> 00:21:34,800 Speaker 1: very high. And that really is what is going to 416 00:21:34,880 --> 00:21:38,040 Speaker 1: drive a lot of the next generation insights for all 417 00:21:38,119 --> 00:21:44,320 Speaker 1: software packages. All right, So Microsoft, maybe ten billion dollars, 418 00:21:45,119 --> 00:21:47,840 Speaker 1: that seems like if I'm thinking about this space, I 419 00:21:47,920 --> 00:21:50,119 Speaker 1: kind of feel like it validates the space a little bit. 420 00:21:50,119 --> 00:21:55,119 Speaker 1: Is certainly validates open AI. How do you think about it? No, 421 00:21:55,280 --> 00:21:57,879 Speaker 1: it's it is truly in that same case. And I 422 00:21:57,920 --> 00:22:01,160 Speaker 1: can tell you, you know, just like an emerging technologies, 423 00:22:01,240 --> 00:22:04,680 Speaker 1: there are probably hundreds and hundreds of new AI companies 424 00:22:04,720 --> 00:22:06,800 Speaker 1: all over the world that are trying to figure the 425 00:22:06,840 --> 00:22:09,400 Speaker 1: same thing out, you know, whether that's based on images 426 00:22:09,600 --> 00:22:14,720 Speaker 1: so image recognition, speech recognition, vision, or for that matter, 427 00:22:14,800 --> 00:22:19,639 Speaker 1: natural language processing. Almost every technology companies building some capabilities 428 00:22:19,880 --> 00:22:22,520 Speaker 1: within their product portfolio. So think of this from a 429 00:22:22,560 --> 00:22:25,320 Speaker 1: Microsoft as more of an R and D going into 430 00:22:25,880 --> 00:22:28,560 Speaker 1: you know, a new company where if they can you know, 431 00:22:28,600 --> 00:22:31,320 Speaker 1: I'm assuming there is some commercial agreement here that they 432 00:22:31,320 --> 00:22:34,119 Speaker 1: can use these products to to enhance the value of 433 00:22:34,119 --> 00:22:38,840 Speaker 1: what they do. All right, That's uh an interesting story. 434 00:22:38,880 --> 00:22:41,200 Speaker 1: I think we have a jumping off point from which 435 00:22:41,200 --> 00:22:44,320 Speaker 1: Paul and I can dig down into a deep rabite GPT. 436 00:22:44,680 --> 00:22:47,280 Speaker 1: We're gonna be I go, and we're gonna we're gonna 437 00:22:47,280 --> 00:22:49,119 Speaker 1: get into this. Okay. I want to quickly ask you 438 00:22:49,119 --> 00:22:53,040 Speaker 1: about Apple on our because it seems like, um, some 439 00:22:53,119 --> 00:22:56,000 Speaker 1: investors may have been taken by surprise or Broadcast may 440 00:22:56,000 --> 00:23:00,159 Speaker 1: have been taken by surprise as Apple intends to develop 441 00:23:00,200 --> 00:23:03,320 Speaker 1: its own products and no longer use those that it 442 00:23:03,359 --> 00:23:06,000 Speaker 1: gets from others like broad Company. We've known this for 443 00:23:06,040 --> 00:23:09,200 Speaker 1: a long time, right, Intel was cut out a while back, 444 00:23:09,640 --> 00:23:13,320 Speaker 1: and Claw Calm has told investors like, yeah, this is 445 00:23:13,359 --> 00:23:15,240 Speaker 1: what we get like ten billion revenue from them, but 446 00:23:15,240 --> 00:23:18,720 Speaker 1: that's gonna dwindle over time. For Broadcom, it seems like 447 00:23:18,760 --> 00:23:21,399 Speaker 1: they were kind of counting on this future revenue streat. 448 00:23:21,440 --> 00:23:24,440 Speaker 1: I think. I think from you know, I would say 449 00:23:24,440 --> 00:23:26,479 Speaker 1: I don't want to comment on the guys who are 450 00:23:26,520 --> 00:23:29,440 Speaker 1: losing in this case, only because you know, you would 451 00:23:29,440 --> 00:23:31,639 Speaker 1: expect a company like Apple to make sure they have 452 00:23:31,720 --> 00:23:34,359 Speaker 1: full control over the supply chain as well as the 453 00:23:34,359 --> 00:23:36,600 Speaker 1: parts that come in, you know. But from my side, 454 00:23:36,600 --> 00:23:38,919 Speaker 1: and this is far more than just cost control or 455 00:23:38,960 --> 00:23:42,359 Speaker 1: supply chain management. It is really about dictating what the 456 00:23:42,400 --> 00:23:45,399 Speaker 1: next generation products are going to be, because frankly speaking, 457 00:23:45,400 --> 00:23:47,440 Speaker 1: Apple is not going to tell them what they are 458 00:23:47,440 --> 00:23:50,560 Speaker 1: working on for their next generation products in the case 459 00:23:50,600 --> 00:23:53,760 Speaker 1: of chips for example, or processor for example. UM they 460 00:23:53,840 --> 00:23:56,400 Speaker 1: got rid of Intel and they you know, they're developing 461 00:23:56,400 --> 00:24:00,080 Speaker 1: their own processors and that really has helped them to 462 00:24:00,520 --> 00:24:04,240 Speaker 1: see double digit growth rate in their higher end mac books. 463 00:24:04,680 --> 00:24:07,000 Speaker 1: UM and that is because the mptwo processor is is 464 00:24:07,040 --> 00:24:10,040 Speaker 1: pretty amazing, or the mband processor before that, and that's 465 00:24:10,080 --> 00:24:12,720 Speaker 1: far better than what Intel could do. So from my side, 466 00:24:12,760 --> 00:24:14,920 Speaker 1: I think they're not just going to jump off call 467 00:24:15,000 --> 00:24:17,520 Speaker 1: com because they're going to save some money unless they 468 00:24:17,520 --> 00:24:19,879 Speaker 1: have a product that's better than that UM And I 469 00:24:19,880 --> 00:24:21,800 Speaker 1: think that's that the reason for that is that's going 470 00:24:21,880 --> 00:24:26,639 Speaker 1: to drive innovation from their side. So I mean, is 471 00:24:26,680 --> 00:24:29,520 Speaker 1: this what's Apple gonna do? Are they gonna ensure this stuff? 472 00:24:29,600 --> 00:24:31,920 Speaker 1: I mean, that's kind of seems to be the thing 473 00:24:31,960 --> 00:24:35,480 Speaker 1: now again again, it's going to you know, it's going 474 00:24:35,560 --> 00:24:37,000 Speaker 1: to take some time for us to figure out. I 475 00:24:37,080 --> 00:24:39,439 Speaker 1: think a lot of this would be they develop their 476 00:24:39,480 --> 00:24:41,959 Speaker 1: own you know, design than they're going to do somebody 477 00:24:42,000 --> 00:24:43,600 Speaker 1: like a t M c T S MC as Money 478 00:24:43,760 --> 00:24:47,040 Speaker 1: said yesterday, to develop those particular chips and they're gonna 479 00:24:47,080 --> 00:24:49,040 Speaker 1: put it in their products. But one of the big 480 00:24:49,040 --> 00:24:52,040 Speaker 1: things is going to be the product may have features 481 00:24:52,080 --> 00:24:55,159 Speaker 1: that may be used in the next generation iPhones that 482 00:24:55,480 --> 00:24:58,400 Speaker 1: you know, may or may not be on paper at 483 00:24:58,400 --> 00:25:01,359 Speaker 1: this point, because they're looking out ahead years down the 484 00:25:01,440 --> 00:25:04,080 Speaker 1: road of what some of these things can do that 485 00:25:04,240 --> 00:25:06,560 Speaker 1: is not the current capabilities or may not be even 486 00:25:06,600 --> 00:25:10,320 Speaker 1: part of the product designed for either Welcome or broadcom. Alright, 487 00:25:10,359 --> 00:25:13,480 Speaker 1: good stuff. Lots of movement there in the tech space, 488 00:25:13,600 --> 00:25:16,720 Speaker 1: as always, Apple discussions, Microsoft, some of the big names 489 00:25:17,320 --> 00:25:19,639 Speaker 1: doing big things as they always do. And so when 490 00:25:19,640 --> 00:25:21,719 Speaker 1: we got that, we talked to on a rock run 491 00:25:21,800 --> 00:25:23,240 Speaker 1: and we talked to Man Deep sing. Those are the 492 00:25:23,240 --> 00:25:26,040 Speaker 1: tech anlems. We just type I go, we just type 493 00:25:26,040 --> 00:25:29,280 Speaker 1: B I go. And just to remember, everybody, Bloomberg Intelligence 494 00:25:29,400 --> 00:25:33,080 Speaker 1: is the best research shop on Wall Street. We've got 495 00:25:33,119 --> 00:25:36,000 Speaker 1: like four hundred analysts all around the world covering two 496 00:25:36,000 --> 00:25:40,560 Speaker 1: thousand companies, a hundred twenty industries, equity, fixed income, commodities, 497 00:25:41,240 --> 00:25:43,639 Speaker 1: you know, all that kind of stuff. Cars and I 498 00:25:43,680 --> 00:25:45,560 Speaker 1: just saw Michael Dean walking around. I know, Chael Deane 499 00:25:45,560 --> 00:25:47,879 Speaker 1: We've got Kevin Tynan. We got the best car analysts 500 00:25:47,920 --> 00:25:49,919 Speaker 1: in the world. Yeah. So if you have a Bloomberg terminal, 501 00:25:50,000 --> 00:25:51,840 Speaker 1: beat I go and you can actually call up and 502 00:25:51,880 --> 00:25:53,440 Speaker 1: talk to these analysts, just like in the old days. 503 00:25:57,480 --> 00:26:00,720 Speaker 1: Let's stuck fixed income. Those are bonds, Matt, that's credit, 504 00:26:00,800 --> 00:26:03,320 Speaker 1: that's that kind of stuff. I'm the stocks guy. I 505 00:26:03,400 --> 00:26:06,199 Speaker 1: just my job is to tell a good story, you know, 506 00:26:06,280 --> 00:26:08,560 Speaker 1: forecasting earning, Slap a multiple on it, and we're good 507 00:26:08,560 --> 00:26:10,760 Speaker 1: to go. But fixing comes a whole different animal. That's 508 00:26:10,760 --> 00:26:12,840 Speaker 1: why I bring in the smart people. George Bori, chief 509 00:26:12,880 --> 00:26:16,119 Speaker 1: investment strategist for Fixed. Them with fixing, come with all 510 00:26:16,200 --> 00:26:20,639 Speaker 1: Spring Global Investments, Pride of Milwaukee. But you're based here 511 00:26:20,680 --> 00:26:22,600 Speaker 1: in New York, right, I'm in New York. Okay, So 512 00:26:22,640 --> 00:26:24,960 Speaker 1: I thought I thought you guys were all like in 513 00:26:25,000 --> 00:26:28,520 Speaker 1: that mononymy Falls campus. Yeah, well not many of us. 514 00:26:28,520 --> 00:26:30,239 Speaker 1: So you guys have an outpost here. We have an 515 00:26:30,240 --> 00:26:32,760 Speaker 1: office here in York, which is what's great. It's uh, 516 00:26:32,880 --> 00:26:34,919 Speaker 1: it's kind of a branch office, but but still a 517 00:26:34,920 --> 00:26:38,399 Speaker 1: good hub for the team. Good stuff, George, you know 518 00:26:38,440 --> 00:26:41,400 Speaker 1: what I mean. Two, You know it as well as anybody. 519 00:26:41,520 --> 00:26:44,440 Speaker 1: Brutal brutal year for fixed income. I'm wondering how you're 520 00:26:44,480 --> 00:26:47,000 Speaker 1: you're thinking about going forward. Let's just forget about twenty two. 521 00:26:47,000 --> 00:26:49,240 Speaker 1: And I'm sure you're gonna tell your boss during a review. 522 00:26:49,280 --> 00:26:51,520 Speaker 1: Let's just forget about twenty two. It didn't happen. What 523 00:26:51,560 --> 00:26:53,480 Speaker 1: are you focusing on in twenty three? Well, thanks for 524 00:26:53,560 --> 00:26:55,560 Speaker 1: having me on the show. First off, it's always great 525 00:26:55,600 --> 00:26:57,760 Speaker 1: to be back in studio. It's been a while, and 526 00:26:58,040 --> 00:27:00,320 Speaker 1: I love being on the radio segment. But you know, 527 00:27:00,359 --> 00:27:02,680 Speaker 1: as as a fixed income investor, I think there's kind 528 00:27:02,680 --> 00:27:05,400 Speaker 1: of one central message that we've been kind of working with. 529 00:27:05,440 --> 00:27:07,440 Speaker 1: And you know, we've coming out of about ten to 530 00:27:07,520 --> 00:27:10,479 Speaker 1: fifteen years of a lot of financial repression, and the 531 00:27:10,480 --> 00:27:13,879 Speaker 1: whole notion of like there's no alternative, the whole Tina 532 00:27:13,960 --> 00:27:17,080 Speaker 1: notion has changed, and our view is that there is 533 00:27:17,119 --> 00:27:19,919 Speaker 1: an alternative. There is an alternative going forward, and the 534 00:27:19,960 --> 00:27:23,960 Speaker 1: alternative is fixed income. The Feds done a tremendous amount 535 00:27:23,960 --> 00:27:26,399 Speaker 1: of work to get cash rates up to sort of 536 00:27:26,400 --> 00:27:30,879 Speaker 1: a more typical or more normal rate. The macroeconomics around 537 00:27:30,960 --> 00:27:34,280 Speaker 1: us are still calibrating. We expect inflation to ultimately come 538 00:27:34,280 --> 00:27:36,320 Speaker 1: down over the course of this year, but it's gonna 539 00:27:36,359 --> 00:27:38,480 Speaker 1: be kind of a choppy road. It's not it's not 540 00:27:38,520 --> 00:27:41,120 Speaker 1: gonna be one way in directional. But when we look 541 00:27:41,160 --> 00:27:45,920 Speaker 1: across fixed income, fixed income can do what it's supposed 542 00:27:45,920 --> 00:27:49,800 Speaker 1: to do, and and that's really generated very consistent and 543 00:27:50,040 --> 00:27:53,840 Speaker 1: steady and predictable stream of income. It's not sexy, it's 544 00:27:53,880 --> 00:27:57,399 Speaker 1: not wildly exciting, but it's pretty gratifying when it shows 545 00:27:57,440 --> 00:28:00,440 Speaker 1: up when it's supposed to and there's some predict ability 546 00:28:00,480 --> 00:28:03,080 Speaker 1: there for people to sort of build out their wealth 547 00:28:03,119 --> 00:28:06,080 Speaker 1: and their portfolios and immunize their liability. And I think 548 00:28:06,280 --> 00:28:09,040 Speaker 1: that's the point. I think it is pretty exciting UM 549 00:28:09,080 --> 00:28:11,840 Speaker 1: for students of the market. What we have seen over 550 00:28:11,880 --> 00:28:16,000 Speaker 1: the last ten years was obviously crazy drama and you 551 00:28:16,119 --> 00:28:21,960 Speaker 1: had you know, central banks performing financial repression, pushing everybody 552 00:28:22,000 --> 00:28:27,600 Speaker 1: out the risk curve. You know, it's the kind of UM, 553 00:28:27,640 --> 00:28:34,400 Speaker 1: it's the kind of uh uh artificial UM market atmosphere 554 00:28:34,440 --> 00:28:40,160 Speaker 1: that nobody understands with UM with consequences that are unpredictable, 555 00:28:40,240 --> 00:28:43,320 Speaker 1: and that's not great. Although some people may have made 556 00:28:43,320 --> 00:28:45,440 Speaker 1: a lot of money, a lot of other people got crushed. 557 00:28:45,440 --> 00:28:48,200 Speaker 1: But you didn't get to put to use anything that 558 00:28:48,240 --> 00:28:50,840 Speaker 1: you learned in school, anything that you read in books, right, 559 00:28:50,880 --> 00:28:54,040 Speaker 1: And now we're getting back to an era where I think, um, 560 00:28:54,120 --> 00:28:57,600 Speaker 1: you can actually take lessons that you that you've that 561 00:28:57,680 --> 00:29:00,320 Speaker 1: you've built up over years and put them to work 562 00:29:00,320 --> 00:29:02,520 Speaker 1: in the market in a conservative way. You can build 563 00:29:02,560 --> 00:29:05,840 Speaker 1: a portfolio, save money, and and and and build and 564 00:29:05,840 --> 00:29:07,920 Speaker 1: build income. And that's a good thing I think for 565 00:29:08,000 --> 00:29:11,280 Speaker 1: most investors. We we do as well. And and when 566 00:29:11,280 --> 00:29:13,640 Speaker 1: we think about fixed income, like I said, it really 567 00:29:13,640 --> 00:29:16,640 Speaker 1: does kind of does three things. Actually, one is income, 568 00:29:16,720 --> 00:29:19,800 Speaker 1: and we know that, you know, sort of a fixed 569 00:29:19,800 --> 00:29:22,880 Speaker 1: income portfolio's return is ultimately going to be that income. 570 00:29:22,920 --> 00:29:25,280 Speaker 1: And so the recognition that I can get it today 571 00:29:25,520 --> 00:29:28,200 Speaker 1: that there is an alternative to sort of capture that income, 572 00:29:28,480 --> 00:29:30,800 Speaker 1: you know, is front and center. The second is just 573 00:29:30,880 --> 00:29:33,680 Speaker 1: being able to weather volatility. You think back where yields 574 00:29:33,680 --> 00:29:35,680 Speaker 1: were a year or so ago, not a lot of 575 00:29:35,720 --> 00:29:38,720 Speaker 1: cushion in that trade, and so when volve struck, you know, 576 00:29:38,800 --> 00:29:42,080 Speaker 1: prices fell pretty quickly. Today we have a much greater 577 00:29:42,200 --> 00:29:44,360 Speaker 1: cushion in the in the sort of the bond market 578 00:29:44,360 --> 00:29:47,240 Speaker 1: world to allow us to deal with a lot more uncertainty. 579 00:29:47,240 --> 00:29:50,320 Speaker 1: And then the last it's just diversification. As we all know, 580 00:29:50,400 --> 00:29:53,480 Speaker 1: the sixty strategy didn't work out so well last year. 581 00:29:53,760 --> 00:29:56,880 Speaker 1: But with bond yields now sort of more consistent with 582 00:29:56,960 --> 00:29:59,760 Speaker 1: a kind of what we'd call more typical economic backdrop, 583 00:29:59,800 --> 00:30:02,240 Speaker 1: it least some cushion against inflation, a little bit of 584 00:30:02,240 --> 00:30:06,680 Speaker 1: cushion against unexpected sort of shocks. That should allow fixed 585 00:30:06,720 --> 00:30:10,280 Speaker 1: income to provide some diversification against other things. And so 586 00:30:10,400 --> 00:30:13,880 Speaker 1: it's the income, it's the break even and and and 587 00:30:13,040 --> 00:30:17,360 Speaker 1: um and volatility cushion and then the diversification. And that's 588 00:30:17,400 --> 00:30:20,400 Speaker 1: what's exciting about fixed it. How do we know when 589 00:30:20,640 --> 00:30:23,400 Speaker 1: you know, what we've seen with this foreigner fitty basis 590 00:30:23,440 --> 00:30:25,920 Speaker 1: points in the past twelve months, is the FED essentially 591 00:30:26,520 --> 00:30:30,640 Speaker 1: forcing the market to reprice assets and and the whole 592 00:30:30,680 --> 00:30:35,640 Speaker 1: process um and the intervention that we've seen over the 593 00:30:35,640 --> 00:30:38,920 Speaker 1: past decade. That's kind of a sionara to that. How 594 00:30:38,960 --> 00:30:42,040 Speaker 1: do we know when that process is over? Um, you know, 595 00:30:42,120 --> 00:30:45,520 Speaker 1: when we can start working from square one? Yeah, that's 596 00:30:45,640 --> 00:30:47,840 Speaker 1: that's a great question, and that you know, we talked 597 00:30:47,840 --> 00:30:50,280 Speaker 1: to clients about that, we talk amongst ourselves on the 598 00:30:50,320 --> 00:30:53,200 Speaker 1: investment teams, and you know, it's it's hard to sort 599 00:30:53,200 --> 00:30:55,080 Speaker 1: of narrow it down to one but but if we 600 00:30:55,160 --> 00:30:58,240 Speaker 1: look back through the last sort of fifty sixty seventy years, 601 00:30:58,640 --> 00:31:01,280 Speaker 1: FED cycles have all to really been determined, or at 602 00:31:01,320 --> 00:31:03,840 Speaker 1: least the sort of the peak in that cycle has 603 00:31:03,920 --> 00:31:07,680 Speaker 1: typically aligned. When the Feds sort of base rate you 604 00:31:07,720 --> 00:31:09,840 Speaker 1: can define it by FED funds or the three month 605 00:31:09,920 --> 00:31:13,120 Speaker 1: T bill, whichever you prefer, is above kind of the 606 00:31:13,200 --> 00:31:16,920 Speaker 1: spot level of inflation, well, then you can decidedly say 607 00:31:16,960 --> 00:31:19,360 Speaker 1: the Fed is kind of ahead of the curve, and 608 00:31:19,440 --> 00:31:21,800 Speaker 1: we know inflation, we're going to get data on Thursday, 609 00:31:21,800 --> 00:31:24,480 Speaker 1: we'll get an updated number, but a kind of let's 610 00:31:24,520 --> 00:31:27,320 Speaker 1: call it a six percent type of level on inflation 611 00:31:27,440 --> 00:31:29,640 Speaker 1: right now, and the Feds still at four fifty, you 612 00:31:29,680 --> 00:31:31,960 Speaker 1: know they're they're they're not ahead of the curve. Now, 613 00:31:32,160 --> 00:31:34,440 Speaker 1: the market is hoping, and so are we, that inflation 614 00:31:34,480 --> 00:31:36,840 Speaker 1: is going to continue to trend lower, and at some 615 00:31:36,880 --> 00:31:39,200 Speaker 1: point in the first half of this year, we think 616 00:31:39,280 --> 00:31:42,400 Speaker 1: those sort of two lines will cross. Fed funds will 617 00:31:42,480 --> 00:31:46,840 Speaker 1: ultimately be above where inflation sort of is at the time. 618 00:31:47,080 --> 00:31:50,920 Speaker 1: We think that's gonna happen around five percent. And it's 619 00:31:50,960 --> 00:31:53,520 Speaker 1: at that point that the Fed can become a lot 620 00:31:53,560 --> 00:31:56,160 Speaker 1: more symmetric in their messaging. They don't have to be 621 00:31:56,240 --> 00:32:00,080 Speaker 1: so exclusively um hawkish. And then this sort of the 622 00:32:00,120 --> 00:32:03,400 Speaker 1: expectation about where's the next move going to come where 623 00:32:03,480 --> 00:32:06,239 Speaker 1: we're seeing some of that hopefulness get priced into the 624 00:32:06,320 --> 00:32:09,120 Speaker 1: to the front end of the curve, specifically in FED funds. 625 00:32:09,160 --> 00:32:11,680 Speaker 1: I think that's a little optimistic. We think that actual 626 00:32:11,720 --> 00:32:14,400 Speaker 1: trade is probably more into next year rather than this year. 627 00:32:14,680 --> 00:32:17,760 Speaker 1: But the symmetry or the distribution of that that next 628 00:32:17,840 --> 00:32:20,640 Speaker 1: step that's gonna unfold over the course of the year. 629 00:32:20,680 --> 00:32:23,120 Speaker 1: But the thing we're looking for, or the point, the 630 00:32:23,200 --> 00:32:25,640 Speaker 1: data point that we're looking for, is is once FED 631 00:32:25,720 --> 00:32:28,480 Speaker 1: funds is sort of above that spot rate of inflation, 632 00:32:28,760 --> 00:32:31,880 Speaker 1: then we can focus on other things other than just inflation. 633 00:32:32,160 --> 00:32:34,080 Speaker 1: Until we get to that point, it's sort of all 634 00:32:34,080 --> 00:32:36,880 Speaker 1: inflation all the time, all right, George. I mean, if 635 00:32:36,920 --> 00:32:39,040 Speaker 1: I want to go out on the risk spectrum a 636 00:32:39,080 --> 00:32:41,160 Speaker 1: little bit and play in the high yield space, is 637 00:32:41,160 --> 00:32:45,600 Speaker 1: that fulls? Is that a fulls Errand because everybody's telling 638 00:32:45,600 --> 00:32:47,600 Speaker 1: me there's a recession next year, how do you think 639 00:32:47,600 --> 00:32:50,640 Speaker 1: about high yield? I mean, typically, you know, the rule 640 00:32:50,680 --> 00:32:53,200 Speaker 1: of thumb is, you know, avoid avoid high yield going 641 00:32:53,200 --> 00:32:55,200 Speaker 1: into recession. As as you mentioned, you know, it's a 642 00:32:55,360 --> 00:32:57,680 Speaker 1: sort of a low grade risk, a low grade play 643 00:32:57,880 --> 00:33:00,200 Speaker 1: on kind of equity vall. You know, if we look 644 00:33:00,240 --> 00:33:02,680 Speaker 1: at at high but but I think the dominant factor 645 00:33:02,720 --> 00:33:06,000 Speaker 1: in markets today is just simply yield. And so you know, 646 00:33:06,080 --> 00:33:09,080 Speaker 1: as investors sort of recalibrate portfolios, there's a very strong 647 00:33:09,120 --> 00:33:11,760 Speaker 1: technical to sort of capture that yield. And we look 648 00:33:11,800 --> 00:33:14,120 Speaker 1: at a market like high yield. And when high yield 649 00:33:14,120 --> 00:33:16,760 Speaker 1: typically is yielding between eight and ten percent, which is 650 00:33:16,880 --> 00:33:19,320 Speaker 1: roughly where it is today, you know, high yield as 651 00:33:19,320 --> 00:33:22,680 Speaker 1: an asset class tends to have very attractive future returns. 652 00:33:23,040 --> 00:33:26,000 Speaker 1: Going back to that break even and sort of volatility cushion, 653 00:33:26,240 --> 00:33:28,959 Speaker 1: you can absorb a lot of sort of market volatility 654 00:33:29,000 --> 00:33:31,960 Speaker 1: as well as kind of credit migration and ultimately default 655 00:33:32,080 --> 00:33:34,680 Speaker 1: risk when your average yield is sort of eight to 656 00:33:34,760 --> 00:33:38,320 Speaker 1: ten percent. So while we're cautious about the economic outlook 657 00:33:38,320 --> 00:33:40,400 Speaker 1: and there's we need to do some work and make 658 00:33:40,440 --> 00:33:42,760 Speaker 1: sure that we're picking the right credits, making sure that 659 00:33:42,760 --> 00:33:45,240 Speaker 1: your pencil sharp and you're you're really attuned to the 660 00:33:45,320 --> 00:33:48,680 Speaker 1: right type of companies. The value is just simply the yield, 661 00:33:48,720 --> 00:33:51,280 Speaker 1: and the yield is ultimately the cushion that's what I 662 00:33:51,320 --> 00:33:54,000 Speaker 1: earn in in high yield and say, you know, eight 663 00:33:54,000 --> 00:33:57,640 Speaker 1: to ten running yield says nothing about compression. A little 664 00:33:57,680 --> 00:34:00,360 Speaker 1: bit of compression and you could see, you know, solid 665 00:34:00,400 --> 00:34:02,680 Speaker 1: double digit returns in high yield this year, which is 666 00:34:02,720 --> 00:34:06,240 Speaker 1: exactly what we're expecting. That's what I'm talking about. Yeah, absolutely, 667 00:34:06,280 --> 00:34:09,920 Speaker 1: I mean, and especially great if you don't have the 668 00:34:10,000 --> 00:34:11,799 Speaker 1: kind of recession that we were worried about a couple 669 00:34:11,840 --> 00:34:14,000 Speaker 1: of weeks ago. It seems like a lot of more 670 00:34:14,080 --> 00:34:17,359 Speaker 1: commentators have gotten some optimism in the last few weeks 671 00:34:17,360 --> 00:34:19,279 Speaker 1: that a soft landing is possible, that we're not going 672 00:34:19,320 --> 00:34:23,600 Speaker 1: to see Matthew Mish said nine percent defaults possible um 673 00:34:23,719 --> 00:34:26,880 Speaker 1: this year, but it's looking less likely, at least from 674 00:34:26,880 --> 00:34:29,400 Speaker 1: the people we've talked to over the past couple of weeks. Yeah. Well, 675 00:34:29,520 --> 00:34:32,000 Speaker 1: I mean, we're cautious on the economic outlook. You know, 676 00:34:32,040 --> 00:34:34,279 Speaker 1: we think things will soften up this year. There's a 677 00:34:34,400 --> 00:34:37,440 Speaker 1: very healthy and robust debate going across our investment teams. 678 00:34:37,719 --> 00:34:39,520 Speaker 1: Is that a hard landing? Is it a soft landing? 679 00:34:39,920 --> 00:34:42,480 Speaker 1: My personal view, and I think the view of many 680 00:34:42,520 --> 00:34:44,400 Speaker 1: of the folks on the team is that it's just 681 00:34:44,440 --> 00:34:48,120 Speaker 1: going to be a very sluggish and ungratifying year. From 682 00:34:48,120 --> 00:34:51,120 Speaker 1: a pure growth perspective, it doesn't mean we careen into 683 00:34:51,120 --> 00:34:54,680 Speaker 1: a recession, and rather than sort of expecting a really 684 00:34:54,760 --> 00:34:57,680 Speaker 1: hard landing, we're going through a massive rotation. And when 685 00:34:57,719 --> 00:35:00,200 Speaker 1: we talk about things like high yield, you know there's 686 00:35:00,239 --> 00:35:02,200 Speaker 1: different ways to play it. If you don't want to 687 00:35:02,239 --> 00:35:05,440 Speaker 1: play the duration component, you can still harbor yourself in 688 00:35:05,480 --> 00:35:08,160 Speaker 1: the front end of the curve, capture two thirds three 689 00:35:08,239 --> 00:35:11,480 Speaker 1: quarters of that yield and take much less risk. And 690 00:35:11,560 --> 00:35:14,399 Speaker 1: so to us fixed income, the beauty of it right 691 00:35:14,400 --> 00:35:17,480 Speaker 1: now is that you can finesse your view and really 692 00:35:17,560 --> 00:35:19,719 Speaker 1: pick the spots that are gonna work for you. If 693 00:35:19,719 --> 00:35:22,719 Speaker 1: you want just pure your yielded income, things like short 694 00:35:22,800 --> 00:35:25,839 Speaker 1: duration hiw yield or full full sector how yield can work. 695 00:35:26,040 --> 00:35:28,640 Speaker 1: If you want longer duration, maybe you should think about 696 00:35:28,719 --> 00:35:32,920 Speaker 1: municipal bonds. Municipals have been very well protected, uh they're 697 00:35:32,960 --> 00:35:36,319 Speaker 1: performing very nicely and it's a good sort of duration 698 00:35:36,440 --> 00:35:39,640 Speaker 1: anchor in your portfolio. And if you just want the 699 00:35:39,640 --> 00:35:42,000 Speaker 1: broad market, there's always kind of the straight up the 700 00:35:42,000 --> 00:35:45,200 Speaker 1: middle core and core plus strategy. So there's a lot 701 00:35:45,239 --> 00:35:48,120 Speaker 1: to chew on here with with some pretty and fairly 702 00:35:48,160 --> 00:35:51,360 Speaker 1: predictable returns that we think will work well for folks 703 00:35:51,760 --> 00:35:54,840 Speaker 1: in their portfolios. All right, good stuff, George Boy. George, 704 00:35:54,880 --> 00:35:56,799 Speaker 1: thanks so much for joining us here. George Boy, chief 705 00:35:56,800 --> 00:36:00,280 Speaker 1: investment strategist for fixed income at all Spring, a mobal 706 00:36:00,440 --> 00:36:05,520 Speaker 1: investments group. Well, a little healthcare M and A And 707 00:36:05,560 --> 00:36:07,279 Speaker 1: as I've always said, in the next life, I'm want 708 00:36:07,280 --> 00:36:09,280 Speaker 1: to come back as a healthcare m and a banker 709 00:36:09,400 --> 00:36:13,360 Speaker 1: because those guys just get paid every year. There's always deals, 710 00:36:13,400 --> 00:36:16,640 Speaker 1: And here's another one. CBS health Core is exploring an 711 00:36:16,640 --> 00:36:20,520 Speaker 1: acquisition of oak Street Health, which one's primary care centers 712 00:36:20,560 --> 00:36:24,040 Speaker 1: for Medicare recipients. That's according to people familiar with the matter. Uh, 713 00:36:24,080 --> 00:36:26,239 Speaker 1: the deal could value oak Street at more than ten 714 00:36:26,280 --> 00:36:29,160 Speaker 1: billion dollars in full enterprise values. Let's break this deal 715 00:36:29,200 --> 00:36:31,960 Speaker 1: down and we can do with Jonathan um Palmer. He 716 00:36:32,040 --> 00:36:34,720 Speaker 1: is a senior equity research channels and team leader covering 717 00:36:34,760 --> 00:36:38,360 Speaker 1: all healthcare for Bloomberg Intelligence. Jonathan, thanks so much for 718 00:36:38,480 --> 00:36:40,240 Speaker 1: joining us here. Just give us the kind of the 719 00:36:40,239 --> 00:36:43,040 Speaker 1: the key points here on what is another big deal 720 00:36:43,040 --> 00:36:46,360 Speaker 1: in that healthcare space? Yeah, hide fall Matt, thanks for 721 00:36:46,400 --> 00:36:48,399 Speaker 1: having me on. You know this week is the JP 722 00:36:48,560 --> 00:36:51,839 Speaker 1: Morgan Healthcare conference out in San Francisco. That's where I'm 723 00:36:51,840 --> 00:36:54,719 Speaker 1: at right now, and it's really the seminal event in 724 00:36:54,800 --> 00:36:57,759 Speaker 1: the healthcare investment landscape. And we see a lot of 725 00:36:57,800 --> 00:37:00,719 Speaker 1: deal noise typically around this event, and this year is 726 00:37:00,760 --> 00:37:03,400 Speaker 1: really no different. There's been a couple of small therapeutic 727 00:37:03,440 --> 00:37:05,239 Speaker 1: deals that have been announced. But you know, as you 728 00:37:05,280 --> 00:37:09,800 Speaker 1: saw yesterday, there's a media speculation that CBS might acquire 729 00:37:09,960 --> 00:37:13,680 Speaker 1: oak Street uh for ten billion dollars and and really 730 00:37:13,680 --> 00:37:15,680 Speaker 1: this comes as not much of a surprise, to be 731 00:37:15,719 --> 00:37:18,920 Speaker 1: honest with you. Um, CBS has talked about wanting to 732 00:37:18,960 --> 00:37:22,399 Speaker 1: acquire companies in the primary care space. That's what Oak 733 00:37:22,480 --> 00:37:25,239 Speaker 1: Street does, and they've been rumored to be kicking the 734 00:37:25,280 --> 00:37:28,839 Speaker 1: tires on you know, uh oak Street another company called 735 00:37:28,880 --> 00:37:33,400 Speaker 1: Cano Health, and according to you know, our news reporters, 736 00:37:33,440 --> 00:37:36,480 Speaker 1: they've lost out on Amazon's bid for for one Medical. 737 00:37:36,920 --> 00:37:39,719 Speaker 1: So there's a lot going on in this space. Pharmacies 738 00:37:39,760 --> 00:37:42,640 Speaker 1: don't really want to be in the pharmacy business anymore. 739 00:37:43,640 --> 00:37:46,160 Speaker 1: You know, you've seen Walgreens do a deal with Village 740 00:37:46,239 --> 00:37:51,080 Speaker 1: m D. You saw right, Aid just cut their CEOs 741 00:37:51,160 --> 00:37:54,400 Speaker 1: yesterday and replace her as they're not doing too well. 742 00:37:54,680 --> 00:37:56,799 Speaker 1: So there's a lot going on, and there's a lot 743 00:37:56,880 --> 00:37:59,200 Speaker 1: that's happening, you know where these companies want to become 744 00:37:59,239 --> 00:38:02,640 Speaker 1: more healthcare service providers instead of just you know, a 745 00:38:02,719 --> 00:38:06,240 Speaker 1: retail pharmacy. At the end of the day, how how 746 00:38:06,239 --> 00:38:09,399 Speaker 1: has healthcare M and A held up in a year 747 00:38:10,239 --> 00:38:15,000 Speaker 1: looking back that was really not good for for deals 748 00:38:15,000 --> 00:38:18,480 Speaker 1: in other industries, And I mean, what are we going 749 00:38:18,560 --> 00:38:21,960 Speaker 1: to expect in three Yeah, it's a good question. I 750 00:38:21,960 --> 00:38:24,440 Speaker 1: think there's a couple of things at play here. You know, 751 00:38:24,480 --> 00:38:27,759 Speaker 1: we had the pandemic, and depending on which subsector of 752 00:38:28,239 --> 00:38:31,440 Speaker 1: healthcare the company companies were in, you know, it filled 753 00:38:31,480 --> 00:38:34,040 Speaker 1: the coffers for some, you know, the visors, and Maderna 754 00:38:34,120 --> 00:38:37,840 Speaker 1: Is obviously generated a lot of cash with their vaccine 755 00:38:37,880 --> 00:38:40,480 Speaker 1: revenues and put that money to work. We saw a 756 00:38:40,480 --> 00:38:43,239 Speaker 1: lot of the diagnostic test makers, you know, take the 757 00:38:43,280 --> 00:38:45,960 Speaker 1: COVID cash if they generated, and put it back in 758 00:38:45,960 --> 00:38:48,759 Speaker 1: into the market via M and A. Last year was 759 00:38:48,800 --> 00:38:51,719 Speaker 1: a touch slower relative to maybe two thousands twenty one, 760 00:38:51,760 --> 00:38:54,400 Speaker 1: but you know, health care is a pretty profitable industry 761 00:38:54,480 --> 00:38:57,239 Speaker 1: and returns on capital are good, so you know, I 762 00:38:57,280 --> 00:39:00,399 Speaker 1: think we'll see more deals happened this year. I mean, 763 00:39:00,400 --> 00:39:04,359 Speaker 1: as public markets have reset for a lot of subsectors. 764 00:39:04,840 --> 00:39:07,640 Speaker 1: You know, prices are down. Whether private valuations you know, 765 00:39:07,719 --> 00:39:09,960 Speaker 1: follow us quickly, I think remains to be seen. But 766 00:39:10,600 --> 00:39:13,600 Speaker 1: you know, there's there's definitely a tenor here at this 767 00:39:13,680 --> 00:39:17,200 Speaker 1: conference that will see more deals. And you know, Matt, 768 00:39:17,360 --> 00:39:19,799 Speaker 1: here's what's fascinating about the healthcare space and the JP 769 00:39:19,880 --> 00:39:23,640 Speaker 1: Morgan conference. JP Morgan is hosting their annual conference where 770 00:39:23,640 --> 00:39:25,440 Speaker 1: they big a bunch of healthcare companies together. It's in 771 00:39:25,440 --> 00:39:27,960 Speaker 1: San Francisco every year. It's the biggest conference in the 772 00:39:28,000 --> 00:39:31,640 Speaker 1: industry by far. So who attends, well, everybody, global companies 773 00:39:31,680 --> 00:39:34,919 Speaker 1: from around the world, global institutional investor clients at JP 774 00:39:35,000 --> 00:39:38,719 Speaker 1: Morgan from around the world. And then guess what, everybody 775 00:39:38,719 --> 00:39:41,480 Speaker 1: else comes to San Francisco who was interested in healthcare, 776 00:39:41,760 --> 00:39:46,520 Speaker 1: like like Jonathan Palmer, and investors and bankers from other 777 00:39:46,520 --> 00:39:49,680 Speaker 1: Wall Street firms because they know that everybody in the 778 00:39:49,719 --> 00:39:52,680 Speaker 1: healthcare space who means anything is in San Francis. I 779 00:39:52,680 --> 00:39:55,920 Speaker 1: think I read that there are almost fifty thousand people 780 00:39:55,960 --> 00:39:58,600 Speaker 1: in San Francisco for the conference and only eight thousand 781 00:39:58,640 --> 00:40:02,319 Speaker 1: are getting in. So it's at least for people who 782 00:40:02,320 --> 00:40:06,600 Speaker 1: are hanging around the bars and restaurants on the sidelines 783 00:40:06,640 --> 00:40:09,560 Speaker 1: trying to get deals done right. So exactly, So, Jonathan, 784 00:40:09,600 --> 00:40:11,439 Speaker 1: this is really amazing. I don't see it in too 785 00:40:11,440 --> 00:40:13,400 Speaker 1: many other industries. But just give us a sense of 786 00:40:13,400 --> 00:40:16,319 Speaker 1: the history of this JP Morgan conference and and kind 787 00:40:16,320 --> 00:40:19,360 Speaker 1: of what it means to the healthcare industry. Well, you 788 00:40:19,400 --> 00:40:21,200 Speaker 1: guys have to nail on the head. I mean, it's 789 00:40:21,239 --> 00:40:24,520 Speaker 1: it is the seminal event in the healthcare investment space. 790 00:40:24,560 --> 00:40:27,560 Speaker 1: It's it's been going on for over thirty years. It 791 00:40:27,600 --> 00:40:29,560 Speaker 1: actually used to be run by a bank called the 792 00:40:29,680 --> 00:40:33,959 Speaker 1: Handbracking Quest. JP Morgan bought back in the day there, 793 00:40:34,000 --> 00:40:36,560 Speaker 1: you know, when they were acquiring you know, everybody bought 794 00:40:36,800 --> 00:40:40,040 Speaker 1: the four Horsemen, the four investment banks in San fran 795 00:40:40,120 --> 00:40:43,120 Speaker 1: and and really the traditions kind of carried on since then. 796 00:40:43,160 --> 00:40:46,000 Speaker 1: I mean, you come to this meeting or there's this 797 00:40:46,440 --> 00:40:50,600 Speaker 1: investment conference, and there's meetings happening everywhere on the street, corners, 798 00:40:50,680 --> 00:40:54,200 Speaker 1: in coffee shops at Starbucks, and free hotel lobby seat 799 00:40:54,280 --> 00:40:57,080 Speaker 1: has taken. I think half of my meetings are in 800 00:40:57,239 --> 00:41:00,520 Speaker 1: coffee shops and hotel lobbies while I'm here. It's really 801 00:41:00,560 --> 00:41:04,040 Speaker 1: just outstanding, you know, the level of participation by the 802 00:41:04,040 --> 00:41:08,320 Speaker 1: industry and after not being in person after two years, 803 00:41:08,680 --> 00:41:10,480 Speaker 1: you know, there's there's probably a little bit of a 804 00:41:11,160 --> 00:41:13,399 Speaker 1: drive here to get some stuff done that we're back 805 00:41:13,440 --> 00:41:16,000 Speaker 1: in person and you know, can see people face to 806 00:41:16,040 --> 00:41:18,640 Speaker 1: face across the table. So what is kind of the 807 00:41:18,719 --> 00:41:21,640 Speaker 1: vibe there in San Francisco as it relates to health 808 00:41:21,680 --> 00:41:25,279 Speaker 1: care is there? Is it generally maybe are there any 809 00:41:25,280 --> 00:41:27,520 Speaker 1: regulatory concerns that are out there or is it just 810 00:41:28,239 --> 00:41:31,680 Speaker 1: full speed ahead here? Yeah? I think it depends a 811 00:41:31,719 --> 00:41:35,080 Speaker 1: little bit on the subsector. You know, different there's different drivers, 812 00:41:35,080 --> 00:41:39,240 Speaker 1: whether you're in therapeutics or health care services or medical products. 813 00:41:39,239 --> 00:41:41,480 Speaker 1: I mean at the stuff I I look at, you know, 814 00:41:41,520 --> 00:41:43,759 Speaker 1: on the healthcare services side, which is what we're talking 815 00:41:43,800 --> 00:41:47,799 Speaker 1: about with CVS and and Oak Street, there's definitely, you know, 816 00:41:48,160 --> 00:41:51,279 Speaker 1: uh a theme here that you know, companies want to 817 00:41:51,600 --> 00:41:56,080 Speaker 1: expand their umbrella, move into new markets or adjacent markets, 818 00:41:56,760 --> 00:41:59,680 Speaker 1: and you know that's happening with Ernest. You know, we've 819 00:41:59,719 --> 00:42:03,359 Speaker 1: seen a fair number of you know, good announcements for 820 00:42:03,440 --> 00:42:07,200 Speaker 1: companies in kind of the product space, pre announcing strong revenues. 821 00:42:07,239 --> 00:42:10,000 Speaker 1: It seems like four Q is shaping up to be, 822 00:42:10,160 --> 00:42:12,200 Speaker 1: you know, pretty much in line for most companies, and 823 00:42:12,400 --> 00:42:15,319 Speaker 1: we're starting to see guidance on two thousand twenty three 824 00:42:15,400 --> 00:42:18,680 Speaker 1: that looks generally in line with consensus. So the the 825 00:42:18,760 --> 00:42:22,880 Speaker 1: underlying um you know, I think attitude here is is 826 00:42:22,880 --> 00:42:25,560 Speaker 1: pretty positive, and you know, we're still kind of waiting 827 00:42:25,560 --> 00:42:28,120 Speaker 1: to see how things shake out with we have a recession. 828 00:42:28,160 --> 00:42:29,800 Speaker 1: But you know, at the end of the day, people 829 00:42:30,040 --> 00:42:32,360 Speaker 1: still get sick, you know, still need to take drugs, 830 00:42:32,360 --> 00:42:34,520 Speaker 1: still need to go to the hospital and get procedures done. 831 00:42:34,760 --> 00:42:39,800 Speaker 1: Healthcare is a really defensive space alright, So, um, what 832 00:42:39,800 --> 00:42:42,839 Speaker 1: what should we expect in terms of the stocks this year? 833 00:42:42,880 --> 00:42:46,120 Speaker 1: I mean M and A is one thing, stock performance 834 00:42:46,160 --> 00:42:50,439 Speaker 1: is another, and everybody got wiped out last year? Um 835 00:42:50,800 --> 00:42:54,120 Speaker 1: house healthcare going to do this year? Yeah? Again, I 836 00:42:54,160 --> 00:42:57,480 Speaker 1: think it depends on the subsector. You know, I think 837 00:42:57,520 --> 00:42:59,960 Speaker 1: therapeutics had a rough year last year. We're starting to 838 00:43:00,040 --> 00:43:02,560 Speaker 1: see some good data come across from a number of 839 00:43:02,560 --> 00:43:05,360 Speaker 1: different companies. That's positive. You know, I think as M 840 00:43:05,400 --> 00:43:07,359 Speaker 1: and A maybe picks up in that sector as well, 841 00:43:07,400 --> 00:43:10,239 Speaker 1: that will support valuations. You know, some of the more 842 00:43:10,320 --> 00:43:14,640 Speaker 1: defensive names in healthcare, like I cover the drug distributors. 843 00:43:14,960 --> 00:43:17,200 Speaker 1: I mean they had banner years last year. You know, 844 00:43:17,520 --> 00:43:20,279 Speaker 1: McKesson I think was up fifty plus percent. You know, 845 00:43:20,360 --> 00:43:22,560 Speaker 1: I don't think they're likely to see another up fifty 846 00:43:22,600 --> 00:43:25,480 Speaker 1: percent year this year. But at the same time, the 847 00:43:25,719 --> 00:43:29,080 Speaker 1: back drop is positive, and you know, there's still still 848 00:43:29,120 --> 00:43:32,640 Speaker 1: things they can do to push revenue growth in EPs growth. 849 00:43:32,800 --> 00:43:35,239 Speaker 1: So you know, overall, I'm pretty positive on the on 850 00:43:35,320 --> 00:43:37,400 Speaker 1: the sector. You know, we had a tough year, like 851 00:43:37,440 --> 00:43:39,800 Speaker 1: I said, in some of the subsectors in two thousand 852 00:43:39,880 --> 00:43:42,600 Speaker 1: twenty two. But you know, for the most part, you know, 853 00:43:42,680 --> 00:43:45,400 Speaker 1: even if there's a recession, you know, the world economy 854 00:43:45,480 --> 00:43:48,880 Speaker 1: as it as it relates to healthcare, carry on, all right, Johnathan, 855 00:43:48,920 --> 00:43:51,480 Speaker 1: If you see any of those vaccine geniuses out there 856 00:43:51,520 --> 00:43:53,879 Speaker 1: that did such a great job, by a beer, put 857 00:43:53,880 --> 00:43:56,360 Speaker 1: it on my tab, okay, because they did a phenomenal 858 00:43:56,440 --> 00:43:58,680 Speaker 1: job and kind of change the at least my view 859 00:43:58,680 --> 00:44:00,239 Speaker 1: a little bit on some of the healthcare What bang 860 00:44:00,280 --> 00:44:02,920 Speaker 1: them about the high drug costs, But man, and we 861 00:44:02,960 --> 00:44:05,680 Speaker 1: needed the vaccines. Did they come through and come through quickly? 862 00:44:06,360 --> 00:44:07,880 Speaker 1: Uh So, pat on the back for a lot of 863 00:44:07,880 --> 00:44:13,160 Speaker 1: those folks. Thanks for listening to the Bloomberg Markets podcast. 864 00:44:13,560 --> 00:44:16,760 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 865 00:44:16,880 --> 00:44:20,799 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 866 00:44:20,800 --> 00:44:24,840 Speaker 1: on Twitter at Matt Miller, three pt on Fall Sweeney. 867 00:44:24,880 --> 00:44:27,520 Speaker 1: I'm on Twitter at pt Sweeney. Before the podcast, you 868 00:44:27,520 --> 00:44:30,200 Speaker 1: can always catch us worldwide at Bloomberg Radio