1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,560 Speaker 1: with essential market moving news. Find the Bloomberg Markets podcast 5 00:00:15,560 --> 00:00:18,479 Speaker 1: called Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,919 Speaker 1: at Bloomberg dot com slash podcast. I want to get 7 00:00:22,120 --> 00:00:25,440 Speaker 1: um straight back to markets here. The volatility has been 8 00:00:26,280 --> 00:00:30,040 Speaker 1: uh uh really, I don't want to say unprecedented, but 9 00:00:30,080 --> 00:00:35,080 Speaker 1: it's been unique certainly. And uh it's come through commodity, 10 00:00:35,240 --> 00:00:39,560 Speaker 1: from commodities, through rates into stocks and Um, right now 11 00:00:39,600 --> 00:00:42,320 Speaker 1: we're gonna talk to somebody who has to put his 12 00:00:42,360 --> 00:00:44,879 Speaker 1: money where his mouth is. Phil Palumbo is the CEO 13 00:00:45,000 --> 00:00:48,360 Speaker 1: of Palumbo Wealth Management. Um, how do you deal with 14 00:00:48,400 --> 00:00:51,080 Speaker 1: this kind of situation? Phil? How do your clients deal 15 00:00:51,120 --> 00:00:54,360 Speaker 1: with this kind of volatility? Well? First, I think you 16 00:00:54,400 --> 00:00:55,960 Speaker 1: know you have to. You have to put it on 17 00:00:56,000 --> 00:00:58,240 Speaker 1: the table that we could bank on the recession at 18 00:00:58,280 --> 00:00:59,920 Speaker 1: the end of twenty two, if not the beginning of 19 00:01:01,440 --> 00:01:03,960 Speaker 1: the way I look at it, the binary decision for 20 00:01:04,000 --> 00:01:05,920 Speaker 1: the FET it's either he's going to let inflation run 21 00:01:06,040 --> 00:01:07,840 Speaker 1: or he's gonna have to step in and raise interest 22 00:01:07,920 --> 00:01:10,440 Speaker 1: rates aggressively, and he doesn't want to do both, which 23 00:01:10,440 --> 00:01:12,479 Speaker 1: tells me that it's going to be a hard landing 24 00:01:12,560 --> 00:01:15,160 Speaker 1: versus a soft landing, which is going to create increased 25 00:01:15,200 --> 00:01:18,720 Speaker 1: volatility and eventually put us into a recession. And so 26 00:01:18,760 --> 00:01:21,320 Speaker 1: how do you invest around that given that there are 27 00:01:21,400 --> 00:01:24,000 Speaker 1: so many uncertainties. I mean, it feels like a fifty 28 00:01:24,000 --> 00:01:26,759 Speaker 1: basis point hike next week has been all but ruled out, 29 00:01:27,040 --> 00:01:29,360 Speaker 1: but where the FED goes from there is still a question. 30 00:01:29,400 --> 00:01:31,720 Speaker 1: Like Matt was saying earlier, I think there's still six 31 00:01:31,800 --> 00:01:36,119 Speaker 1: hikes are so priced into the next year, but again seven, 32 00:01:36,200 --> 00:01:39,920 Speaker 1: So look at WORP, W I RP, going do I 33 00:01:39,920 --> 00:01:41,760 Speaker 1: spend a lot of time on that page just staring 34 00:01:41,760 --> 00:01:43,800 Speaker 1: at the numbers, not quite sure what to make of it. 35 00:01:43,880 --> 00:01:49,960 Speaker 1: But each number represents a basis basis hike, basis point hike. Okay, okay, 36 00:01:50,040 --> 00:01:53,320 Speaker 1: So point being there that you know there's still seven 37 00:01:53,440 --> 00:01:55,960 Speaker 1: hikes priced in, but you have started to see some 38 00:01:56,040 --> 00:01:59,200 Speaker 1: chatter that those bets could be paired back. How do 39 00:01:59,200 --> 00:02:02,880 Speaker 1: you position your portfolio around that those bets will will 40 00:02:02,920 --> 00:02:04,280 Speaker 1: be paired back? The fact is not gonna be able 41 00:02:04,280 --> 00:02:06,240 Speaker 1: to raise rates seven times will be in a recessment 42 00:02:06,280 --> 00:02:08,400 Speaker 1: before that happens. So in the meantime, I've been very 43 00:02:08,440 --> 00:02:09,960 Speaker 1: vocal about to see when I was on your show, 44 00:02:10,000 --> 00:02:14,720 Speaker 1: two evaluations were aggressively high, whether it's the high flying technology, 45 00:02:14,800 --> 00:02:17,239 Speaker 1: the technology sector, or even just d SMP five DRED, 46 00:02:17,520 --> 00:02:20,760 Speaker 1: So those were opportunities to reduce risk and rebound portfolios. 47 00:02:21,040 --> 00:02:23,440 Speaker 1: So if you're a fully invested investor, and you've been 48 00:02:23,480 --> 00:02:25,799 Speaker 1: over the past three plus years, you actually performed well 49 00:02:26,200 --> 00:02:28,919 Speaker 1: Project two. If you didn't take risk off the table 50 00:02:29,240 --> 00:02:31,800 Speaker 1: any type of big run ups in the markets like 51 00:02:31,880 --> 00:02:34,760 Speaker 1: we saw yesterday, which will happen during these situations, you 52 00:02:34,800 --> 00:02:37,360 Speaker 1: should reduce risk from your portfolio. That's number one. Number 53 00:02:37,360 --> 00:02:40,480 Speaker 1: two you should be looking at heads equity strategies within 54 00:02:40,520 --> 00:02:43,600 Speaker 1: your equity portfolio to protect you on the downside. Three 55 00:02:44,440 --> 00:02:46,440 Speaker 1: is you should have gold and you should have commodities, 56 00:02:46,480 --> 00:02:48,520 Speaker 1: which have been always very vocal with that. Within a 57 00:02:48,520 --> 00:02:53,320 Speaker 1: balanced portfolio, gold and commodities when inflation accelerates does really well, 58 00:02:53,720 --> 00:02:56,640 Speaker 1: and history going back to an eight proves that, and 59 00:02:56,720 --> 00:02:59,480 Speaker 1: gold is a hedge against stocks going down. So if 60 00:02:59,480 --> 00:03:02,720 Speaker 1: you're truly balance properly, which most people are not, this 61 00:03:02,840 --> 00:03:04,440 Speaker 1: is the thing that you can be doing to help 62 00:03:04,480 --> 00:03:07,400 Speaker 1: counter balance risk when we do enter in a recession 63 00:03:07,440 --> 00:03:08,800 Speaker 1: at some point at the end of twenty two in 64 00:03:08,800 --> 00:03:11,160 Speaker 1: the beginning of twenty three. So what you're saying, we're 65 00:03:11,320 --> 00:03:13,120 Speaker 1: now an environment where you want to sell the rallies 66 00:03:13,200 --> 00:03:15,360 Speaker 1: rather than buy the dip. Absolutely, you sell the rip 67 00:03:15,360 --> 00:03:17,200 Speaker 1: and you don't buy the dip in this environment. However, 68 00:03:17,240 --> 00:03:18,920 Speaker 1: the only thing I will say though, is that for 69 00:03:19,000 --> 00:03:20,800 Speaker 1: new money, which have a lot of clients that sold 70 00:03:20,800 --> 00:03:23,520 Speaker 1: businesses and have new capital, this is the best time 71 00:03:23,560 --> 00:03:25,720 Speaker 1: to come into new money, right because you're getting the 72 00:03:25,760 --> 00:03:28,600 Speaker 1: opportunity to be able to build out a portfolio when 73 00:03:28,560 --> 00:03:30,960 Speaker 1: you've got valuations that are declining here, right, So this 74 00:03:31,000 --> 00:03:32,919 Speaker 1: is gonna be a great opportunity to buy stocks of 75 00:03:33,000 --> 00:03:36,760 Speaker 1: great businesses at a cheaper level. So for new money, 76 00:03:36,840 --> 00:03:39,360 Speaker 1: it's excellent. You know. For fully invested investors, you know 77 00:03:39,400 --> 00:03:42,320 Speaker 1: you're gonna be in for some pain again. Hopefully you 78 00:03:42,320 --> 00:03:45,680 Speaker 1: did some rebalancing and you and you have a properly 79 00:03:45,680 --> 00:03:48,400 Speaker 1: balanced portfolio to help you muscle through this. Can we 80 00:03:48,440 --> 00:03:50,360 Speaker 1: talk about the yield curve a little bit, because I'm 81 00:03:50,400 --> 00:03:54,440 Speaker 1: looking at the twos tens spread. It got below twenty 82 00:03:54,520 --> 00:03:57,920 Speaker 1: basis points earlier this week, you know, a few banks 83 00:03:58,120 --> 00:03:59,960 Speaker 1: or at least one bank has suggested it could invert 84 00:04:00,040 --> 00:04:02,320 Speaker 1: it in the next week or so. How much of 85 00:04:02,320 --> 00:04:05,600 Speaker 1: the signal are you taking from that tremendous amount of signals? 86 00:04:05,600 --> 00:04:08,000 Speaker 1: So Green Spin always said, tell me where the tenure is, 87 00:04:08,000 --> 00:04:09,480 Speaker 1: and I'll tell you where the where the where the 88 00:04:09,720 --> 00:04:11,520 Speaker 1: where the economy is going. I say, tell me where 89 00:04:11,520 --> 00:04:13,080 Speaker 1: the yield curve is. I'll tell you where the economy 90 00:04:13,160 --> 00:04:15,360 Speaker 1: is going. The yield curve is flat, continue continues to 91 00:04:15,400 --> 00:04:17,880 Speaker 1: flatten out around twenty three basis points. The two is 92 00:04:17,920 --> 00:04:20,719 Speaker 1: intend that is going to invert. Somebody on TV just 93 00:04:20,720 --> 00:04:22,720 Speaker 1: the other day just said if it inverts this time, 94 00:04:22,720 --> 00:04:24,159 Speaker 1: it's different. We're not going to go with the recess. 95 00:04:24,160 --> 00:04:27,480 Speaker 1: And I think that's ridiculous. The track records accurate. And 96 00:04:28,120 --> 00:04:29,839 Speaker 1: then if you take that and you put on top 97 00:04:29,880 --> 00:04:33,279 Speaker 1: of that forty year high inflation data a fetter reserve, 98 00:04:33,320 --> 00:04:35,760 Speaker 1: that's gonna have to raise interest rates. We're coming off 99 00:04:35,880 --> 00:04:40,520 Speaker 1: extreme valuations before. When you put it all together and 100 00:04:40,520 --> 00:04:43,000 Speaker 1: connect the dots, I just don't see how you know, 101 00:04:43,040 --> 00:04:44,760 Speaker 1: we don't like I keep on saying, you know, enter 102 00:04:44,800 --> 00:04:47,360 Speaker 1: into recession. So yield curve. To answer your question, is 103 00:04:47,800 --> 00:04:51,480 Speaker 1: one of the most important aspects of of of the 104 00:04:51,520 --> 00:04:53,960 Speaker 1: of the data points in terms of where we're going 105 00:04:54,000 --> 00:04:57,160 Speaker 1: with the economy. I just want to quickly get an 106 00:04:57,160 --> 00:04:59,720 Speaker 1: example of a hedge equity strategy. We're not getting too 107 00:04:59,760 --> 00:05:03,200 Speaker 1: deep in the weeds, the options weeds. What do you uh, 108 00:05:03,480 --> 00:05:06,080 Speaker 1: what would you advise? So what we did as a 109 00:05:06,160 --> 00:05:09,560 Speaker 1: firm is we spoke this, uh this this company called 110 00:05:09,600 --> 00:05:11,560 Speaker 1: a Little Harbor. They have an e t F called 111 00:05:11,680 --> 00:05:15,600 Speaker 1: MSTB Mary Sam Thomas Boy. Essentially, what they do they 112 00:05:15,680 --> 00:05:18,640 Speaker 1: long d SMP five hundred and they use options vixed 113 00:05:18,640 --> 00:05:22,320 Speaker 1: through VIX futures to to hedge out the equity side 114 00:05:22,320 --> 00:05:26,120 Speaker 1: of it. So about of our equity portfolios in this 115 00:05:26,120 --> 00:05:30,520 Speaker 1: particular exchange traded fund. We did this transaction September October 116 00:05:31,480 --> 00:05:34,200 Speaker 1: one and we're still along at right now. So the 117 00:05:34,240 --> 00:05:35,960 Speaker 1: thought is, if we do hit a recession, we go 118 00:05:35,960 --> 00:05:38,599 Speaker 1: into a bear market, we hope that they'll do what 119 00:05:38,640 --> 00:05:41,960 Speaker 1: they're supposed to do. Right, Um, that's number one. Typically 120 00:05:42,120 --> 00:05:45,520 Speaker 1: we before that we had spy on that of our 121 00:05:45,560 --> 00:05:48,200 Speaker 1: clients portfolios. So now we just moved that to the 122 00:05:48,279 --> 00:05:50,760 Speaker 1: ms TWB to hedge out the the SNP five hundred, 123 00:05:51,000 --> 00:05:53,600 Speaker 1: so that's what we're using. We don't use any types 124 00:05:53,600 --> 00:05:56,080 Speaker 1: of collars on our equity strategies or we don't buy puts, 125 00:05:56,120 --> 00:05:58,680 Speaker 1: you know, so we don't do any of the individual options. 126 00:05:58,720 --> 00:06:00,840 Speaker 1: We depend on other managers to do that for us. 127 00:06:01,600 --> 00:06:03,800 Speaker 1: And just quickly, I mean, how is that strategy been 128 00:06:03,839 --> 00:06:05,200 Speaker 1: playing out? If I look at the VIX right now, 129 00:06:05,279 --> 00:06:09,400 Speaker 1: it's spent most of March above thirty with this particular 130 00:06:09,440 --> 00:06:12,159 Speaker 1: strategy of the sup full is greater than ten toll percent, 131 00:06:12,680 --> 00:06:16,440 Speaker 1: then the VIX the the options or uh, the risk 132 00:06:16,480 --> 00:06:18,760 Speaker 1: on it down so we will actually kick in. So 133 00:06:18,760 --> 00:06:21,599 Speaker 1: it's pretty much been fun with the SPV SPF just 134 00:06:21,640 --> 00:06:23,760 Speaker 1: been doing from pete to trough so far. So it 135 00:06:23,839 --> 00:06:25,720 Speaker 1: really hasn't kicked in yet. It's only if you get 136 00:06:25,720 --> 00:06:29,560 Speaker 1: a major waterfall decline where really will click, will click 137 00:06:29,640 --> 00:06:33,400 Speaker 1: and protected that piece of the portfolio. Alright, Phil, great 138 00:06:33,400 --> 00:06:36,120 Speaker 1: to get some time with you, very interesting stuff. Thanks 139 00:06:36,120 --> 00:06:39,360 Speaker 1: so much for joining us. Phil Palumbo there who runs 140 00:06:39,560 --> 00:06:43,440 Speaker 1: his own fun Palumbo Wealth Management and UM it used 141 00:06:43,440 --> 00:06:46,440 Speaker 1: to be at UBS, spent years a decade at UBS, 142 00:06:46,520 --> 00:06:48,680 Speaker 1: and before that was at Morgan Stanley. So it's the 143 00:06:48,720 --> 00:06:51,040 Speaker 1: guy who knows what he's talking about. Very interesting m 144 00:06:51,640 --> 00:07:01,160 Speaker 1: edging strategy. Let's talk about cars. I'm ready, Really we're 145 00:07:01,200 --> 00:07:04,240 Speaker 1: going to talk about light oar Angus Pacola joins us, 146 00:07:04,240 --> 00:07:09,000 Speaker 1: co founder and CEO of Auster And if you didn't know, 147 00:07:09,080 --> 00:07:12,080 Speaker 1: Austa is one of the hottest light our companies out 148 00:07:12,120 --> 00:07:16,920 Speaker 1: there right now, went public vias back in one and Angus, 149 00:07:16,920 --> 00:07:19,920 Speaker 1: it's great to have you on the program. Um. I'm 150 00:07:19,960 --> 00:07:23,920 Speaker 1: still trying to get my head around sort of light 151 00:07:24,000 --> 00:07:29,200 Speaker 1: our versus Tesla um test because Tesla says they don't 152 00:07:29,240 --> 00:07:32,640 Speaker 1: want to use lighter but they have had partnerships and 153 00:07:32,720 --> 00:07:38,200 Speaker 1: light our companies. Why why is light are important? Right now? Sure? 154 00:07:38,320 --> 00:07:40,160 Speaker 1: And before I answer that, I just want to give 155 00:07:40,160 --> 00:07:43,600 Speaker 1: a brief kind of perspective on Auster and what we're 156 00:07:43,600 --> 00:07:46,239 Speaker 1: doing in light are that stands apart and really Outster 157 00:07:46,400 --> 00:07:50,280 Speaker 1: is the digital light our company building digital chips that 158 00:07:50,400 --> 00:07:54,680 Speaker 1: transform a legacy analog technology into the digital future. And 159 00:07:55,440 --> 00:07:59,120 Speaker 1: and on the performance of benefits and affordability of digital technology. 160 00:07:59,160 --> 00:08:04,160 Speaker 1: We diversus right, diversified across markets. So what what Tesla 161 00:08:05,120 --> 00:08:08,640 Speaker 1: is lacking? And I think that what what Lighter brings 162 00:08:08,640 --> 00:08:12,640 Speaker 1: to the table is an absolute trust in data quality 163 00:08:13,200 --> 00:08:17,880 Speaker 1: UM that that is not there with cameras. So what 164 00:08:18,000 --> 00:08:20,120 Speaker 1: you see from Tesla is they've gotten in some hot 165 00:08:20,120 --> 00:08:24,160 Speaker 1: water because occasionally, and it is occasionally, the cars get 166 00:08:24,160 --> 00:08:28,880 Speaker 1: confused with camera technology because cameras, because cars are basically 167 00:08:29,000 --> 00:08:33,160 Speaker 1: because Tesla UM has neural networks to try and decipher 168 00:08:33,200 --> 00:08:35,400 Speaker 1: what they see in video, right like humans, but they're 169 00:08:35,400 --> 00:08:38,400 Speaker 1: not as good exactly right, Yeah, So a camera needs 170 00:08:38,400 --> 00:08:42,240 Speaker 1: a neural network in order to interpret its environment UM, 171 00:08:42,360 --> 00:08:46,000 Speaker 1: and that sometimes gets confused, and so it sometimes crashes. 172 00:08:46,480 --> 00:08:49,520 Speaker 1: And that's really that's a really challenging UM situation to 173 00:08:49,559 --> 00:08:51,040 Speaker 1: be in if you want to go to full autonomy, 174 00:08:51,040 --> 00:08:53,040 Speaker 1: where people aren't paying attention and they get to fall 175 00:08:53,080 --> 00:08:55,640 Speaker 1: suits in their cars. Lighter, on the hand, other hand, 176 00:08:56,080 --> 00:08:59,400 Speaker 1: directly measures the information that you care about with no 177 00:08:59,520 --> 00:09:03,040 Speaker 1: additional post processing, and it does it so reliably that 178 00:09:03,160 --> 00:09:07,240 Speaker 1: Lighter is already used in safety critical environments across the 179 00:09:07,240 --> 00:09:11,760 Speaker 1: world like industrial settings UM and and it's trusted to 180 00:09:11,800 --> 00:09:14,079 Speaker 1: save people's lives day in and day out and has 181 00:09:14,160 --> 00:09:17,360 Speaker 1: for about thirty years in the industrial setting. So Lighter 182 00:09:17,400 --> 00:09:20,480 Speaker 1: doesn't get confused and you can truly trust the data 183 00:09:20,559 --> 00:09:23,640 Speaker 1: with your life, and so Tesla aside. I mean, what 184 00:09:23,679 --> 00:09:28,920 Speaker 1: does adoption of light ar look like? Yeah, and that's 185 00:09:29,040 --> 00:09:33,160 Speaker 1: that's really um So lidar is the third and kind 186 00:09:33,160 --> 00:09:37,760 Speaker 1: of last critical sensing technology after cameras and ratear. Sensors 187 00:09:38,240 --> 00:09:41,200 Speaker 1: and light are because you can trust your life on it, 188 00:09:41,480 --> 00:09:44,840 Speaker 1: and because it's so effective at understanding the true and 189 00:09:45,000 --> 00:09:50,440 Speaker 1: rich three D environment around anything any machine, whether it's rolling, flying, driving, 190 00:09:50,520 --> 00:09:54,040 Speaker 1: or monitoring those moving objects. It's the perfect sensor for 191 00:09:54,160 --> 00:09:58,000 Speaker 1: bringing our entire world into the autonomy age. And I 192 00:09:58,000 --> 00:10:01,280 Speaker 1: think of it as it's like finally realizing the future 193 00:10:01,360 --> 00:10:04,920 Speaker 1: that the Jetsons the Jetsons TV show laid out. So 194 00:10:05,120 --> 00:10:09,520 Speaker 1: flying cars drive and robots that delivery packages, um, safer 195 00:10:09,600 --> 00:10:13,960 Speaker 1: cross crosswalks with lower congestion at intersections, and yes, self 196 00:10:14,040 --> 00:10:18,160 Speaker 1: driving cars are all made possible because of lighter technology 197 00:10:18,200 --> 00:10:22,160 Speaker 1: in combination with the autonomy technology stack that rides above it. 198 00:10:22,640 --> 00:10:26,400 Speaker 1: And so it's a really fantastic, safer, cleaner, less congested, 199 00:10:26,840 --> 00:10:30,280 Speaker 1: more efficient, higher quality of life future that we're building 200 00:10:30,640 --> 00:10:35,239 Speaker 1: through a combination of lighter sensors and and affordable autonomy technology. 201 00:10:35,440 --> 00:10:38,680 Speaker 1: It does make sense. I mean from what you're saying, 202 00:10:38,720 --> 00:10:42,040 Speaker 1: it makes sense to me to combine it with video 203 00:10:42,240 --> 00:10:44,960 Speaker 1: and you don't need I guess, radar UM and and 204 00:10:45,000 --> 00:10:48,000 Speaker 1: the neural network. But what Tesla says is that you 205 00:10:48,080 --> 00:10:51,000 Speaker 1: have to pre map the environment with a light ar 206 00:10:51,160 --> 00:10:54,080 Speaker 1: and then create a high dep map and then insert 207 00:10:54,120 --> 00:10:56,440 Speaker 1: the lanes. And if you have to do that, it 208 00:10:56,440 --> 00:11:00,559 Speaker 1: seems like a lot of computing power. Yeah, I think 209 00:11:00,559 --> 00:11:03,840 Speaker 1: that's just kind of that that's that's the legacy way 210 00:11:03,880 --> 00:11:06,880 Speaker 1: of thinking about it. But most companies using LIDER today 211 00:11:07,120 --> 00:11:10,560 Speaker 1: don't pre map, and they do similar things. It's a 212 00:11:10,600 --> 00:11:15,840 Speaker 1: similar software stack and algorithmic stack to camera technology, but 213 00:11:16,000 --> 00:11:19,520 Speaker 1: they don't have to rely as heavily on machine learning UM, 214 00:11:19,559 --> 00:11:22,400 Speaker 1: which is great. Machine learning is great at distinguishing between 215 00:11:22,400 --> 00:11:25,840 Speaker 1: a hot dog and your cat in an image nine 216 00:11:25,840 --> 00:11:29,360 Speaker 1: percent of the time, but it's not great at doing 217 00:11:29,600 --> 00:11:31,720 Speaker 1: a hundred percent of the time and an auto and 218 00:11:31,760 --> 00:11:34,520 Speaker 1: then you know, when when human life is involved, you 219 00:11:34,520 --> 00:11:35,920 Speaker 1: want to be able to do it a d percent 220 00:11:35,920 --> 00:11:39,040 Speaker 1: of the time. Solider allows you to remove some of 221 00:11:39,080 --> 00:11:42,040 Speaker 1: the fancy machine learning, trust the data with your life, 222 00:11:42,240 --> 00:11:44,160 Speaker 1: just kind of the raw data coming out of the sensor, 223 00:11:44,400 --> 00:11:46,960 Speaker 1: but also apply some of the learnings that we've gotten 224 00:11:47,040 --> 00:11:49,560 Speaker 1: from the camera world. So you know, we don't have 225 00:11:49,640 --> 00:11:52,360 Speaker 1: to pre map anymore. That's not what companies are doing today. 226 00:11:52,480 --> 00:11:54,720 Speaker 1: It is what companies thought about doing five years ago, 227 00:11:54,800 --> 00:11:56,679 Speaker 1: but the industry has moved on from that, and I 228 00:11:56,720 --> 00:11:59,760 Speaker 1: think TUSSA was just kind of right in not premapping, 229 00:12:00,559 --> 00:12:03,480 Speaker 1: And so I solicited questions from our Blueberg news Print 230 00:12:03,480 --> 00:12:06,680 Speaker 1: team about what to ask you. And Andrew Grant said 231 00:12:06,679 --> 00:12:09,600 Speaker 1: that the most important question for lighter companies right now 232 00:12:09,679 --> 00:12:11,920 Speaker 1: is whether A d S or a v S are 233 00:12:11,960 --> 00:12:15,080 Speaker 1: the most important market. A d S a d a 234 00:12:15,120 --> 00:12:19,959 Speaker 1: S being advanced driver assistant systems, a VS being autonomous vehicles. 235 00:12:20,080 --> 00:12:22,640 Speaker 1: Which of those markets do you see is more important 236 00:12:22,679 --> 00:12:26,280 Speaker 1: for your company? Yeah, well, well this is one of 237 00:12:26,320 --> 00:12:29,120 Speaker 1: the places that OUST stands apart. So we've built this 238 00:12:29,400 --> 00:12:33,240 Speaker 1: more affordable, more performance digital lighter technology, putting lighter onto 239 00:12:33,320 --> 00:12:36,719 Speaker 1: literally one silicon chip, and that's allowed us to diversify 240 00:12:36,800 --> 00:12:41,760 Speaker 1: across many different applications and automotive, industrial, smarter prastruction, robotics, 241 00:12:41,800 --> 00:12:45,520 Speaker 1: and so we actually aren't trying to bet on whether 242 00:12:45,600 --> 00:12:48,080 Speaker 1: a v S or eight ASS is the more important 243 00:12:48,080 --> 00:12:50,640 Speaker 1: market because we're playing in both. Our products are literally 244 00:12:50,640 --> 00:12:52,960 Speaker 1: good enough to play in both, just like digital cameras 245 00:12:53,200 --> 00:12:55,959 Speaker 1: are able to play in the eight ASS market and 246 00:12:56,000 --> 00:12:59,240 Speaker 1: the AD market. Digital cameras go on telephone poles and 247 00:12:59,280 --> 00:13:02,000 Speaker 1: they also go on the drones that are flying on bars. Um. 248 00:13:02,080 --> 00:13:04,520 Speaker 1: So digital technology is so flexible you can address all 249 00:13:04,559 --> 00:13:06,960 Speaker 1: these markets. And I actually am a big believer in 250 00:13:07,040 --> 00:13:10,240 Speaker 1: both ADAS and a v s now eight AS I 251 00:13:10,240 --> 00:13:14,400 Speaker 1: think is the sure bet with huge volumes, and it's 252 00:13:14,480 --> 00:13:17,240 Speaker 1: it's more clear on how eight AS is moving from 253 00:13:17,520 --> 00:13:21,480 Speaker 1: L two plus hands on driver aware systems to L 254 00:13:21,640 --> 00:13:25,160 Speaker 1: three driver you know, hands free, eyes free systems, and 255 00:13:25,200 --> 00:13:28,040 Speaker 1: they're lighter plays a huge part and allowing a person 256 00:13:28,080 --> 00:13:30,120 Speaker 1: in the car to take notes on the way to 257 00:13:30,120 --> 00:13:33,120 Speaker 1: work and be hands free, eyes free. Um. But lighter 258 00:13:33,240 --> 00:13:37,560 Speaker 1: is also the critical sensing technology on autonomous vehicles and 259 00:13:37,600 --> 00:13:42,320 Speaker 1: in many cases it's the only sensor on an autonomous vehicle. UM. 260 00:13:42,440 --> 00:13:44,079 Speaker 1: And so that's going to happen. But I think it's 261 00:13:44,080 --> 00:13:48,120 Speaker 1: a little less because apes are such a high bar 262 00:13:48,200 --> 00:13:51,160 Speaker 1: in terms of technology and reliability. Are Our veteran war 263 00:13:51,240 --> 00:13:54,240 Speaker 1: reporter Greg Jarrett Angus points out that light ar is 264 00:13:54,280 --> 00:13:59,400 Speaker 1: extremely helpful in military applications. Do you, um, do you 265 00:13:59,440 --> 00:14:03,360 Speaker 1: see a big market there as well? Yeah, that's absolutely right. 266 00:14:03,400 --> 00:14:08,040 Speaker 1: So um, lighter can be incredibly useful in situations like convoying. 267 00:14:08,360 --> 00:14:11,520 Speaker 1: You know, there's a huge amount the number of support 268 00:14:11,600 --> 00:14:15,199 Speaker 1: vehicles in the military is far greater than the number 269 00:14:15,240 --> 00:14:19,240 Speaker 1: of active kind of UH fighting vehicles. And that's where 270 00:14:19,280 --> 00:14:22,720 Speaker 1: most casualties happen in wars, and the supply chain, and 271 00:14:22,800 --> 00:14:26,360 Speaker 1: so there's immense opportunities to automate a supply chain. Um, 272 00:14:26,480 --> 00:14:29,160 Speaker 1: these vehicles should be automated. It's fuel trucks, it's it's 273 00:14:29,200 --> 00:14:32,760 Speaker 1: food trucks with all kinds of supply vehicles that historically 274 00:14:32,760 --> 00:14:35,480 Speaker 1: have been hit by their their I D s and 275 00:14:35,520 --> 00:14:38,440 Speaker 1: things like that, and you really would like those vehicles 276 00:14:38,440 --> 00:14:41,640 Speaker 1: just be autonomous. It's so fascinating. I wish we had 277 00:14:41,680 --> 00:14:44,400 Speaker 1: more time, Angus. Hopefully we can get you back. Thanks 278 00:14:44,440 --> 00:14:47,120 Speaker 1: so much for joining us and Angus. Pacola there the 279 00:14:47,200 --> 00:14:53,520 Speaker 1: CEO of ALSTA. Let's get over now to Dave Harden. 280 00:14:53,680 --> 00:14:58,680 Speaker 1: He is the founder and president of Summit Global Investors. Dave, 281 00:14:59,080 --> 00:15:01,720 Speaker 1: what do you take from the kind of alatility that 282 00:15:01,760 --> 00:15:04,880 Speaker 1: we've seen, you know, wash through commodities because of this 283 00:15:04,960 --> 00:15:09,000 Speaker 1: war um in two rates and and kind of you know, 284 00:15:09,840 --> 00:15:11,760 Speaker 1: on this side of the Atlantic, it hasn't rocked the 285 00:15:11,760 --> 00:15:13,920 Speaker 1: equity markets as much as it has on the other side, 286 00:15:13,960 --> 00:15:17,520 Speaker 1: but we still were, uh, you know, down three percent 287 00:15:17,720 --> 00:15:21,080 Speaker 1: on Monday, up three percent yesterday, now we're down again today. 288 00:15:21,320 --> 00:15:24,600 Speaker 1: How do you deal with this? Well, you know, this 289 00:15:24,720 --> 00:15:28,320 Speaker 1: volatility has made everybody understand that risk is important, right, 290 00:15:28,400 --> 00:15:31,680 Speaker 1: So people people need to understand that risk management is 291 00:15:31,800 --> 00:15:34,960 Speaker 1: essential to having better portfolios. And the better they understand 292 00:15:35,040 --> 00:15:38,360 Speaker 1: what's in their portfolio, the better of the portfolio performers 293 00:15:38,360 --> 00:15:41,400 Speaker 1: they hope. So having some exposure right now the commodities 294 00:15:41,480 --> 00:15:44,320 Speaker 1: or word overweight energy, I think those things are very 295 00:15:44,360 --> 00:15:46,960 Speaker 1: prudent in the portfolio. And maybe some people might even 296 00:15:46,960 --> 00:15:49,560 Speaker 1: say energies. The more defense you heard, the you know, 297 00:15:49,640 --> 00:15:51,240 Speaker 1: the expert come on and say, hey, I think it's 298 00:15:51,280 --> 00:15:53,520 Speaker 1: gonna be here and settle into this range. And there's 299 00:15:53,520 --> 00:15:55,640 Speaker 1: a lot of truth to that. So it's really hard 300 00:15:55,640 --> 00:15:57,600 Speaker 1: to go to somebody like Venezuela. It's really hard to 301 00:15:57,640 --> 00:15:59,640 Speaker 1: go to somebody out there that you know, we haven't 302 00:15:59,680 --> 00:16:02,480 Speaker 1: really been friends with with Iran and switch hands from 303 00:16:02,480 --> 00:16:05,680 Speaker 1: one dictator to another dictator. So from our standpoint, I 304 00:16:05,720 --> 00:16:08,840 Speaker 1: think you have to have some commodity exposure, energy exposure 305 00:16:08,840 --> 00:16:12,479 Speaker 1: in your portfolio, and our models, from a quantitative perspective, 306 00:16:12,480 --> 00:16:15,240 Speaker 1: from a risk perspective, all tell us and a fundamental 307 00:16:15,240 --> 00:16:18,720 Speaker 1: outlook that having some of that exposure is important, but 308 00:16:18,800 --> 00:16:21,600 Speaker 1: it's gonna be volatile. So I think in a volatile 309 00:16:21,640 --> 00:16:24,160 Speaker 1: market you have to look for things to protect the 310 00:16:24,240 --> 00:16:26,920 Speaker 1: down and still get some of the upside. You know, 311 00:16:27,040 --> 00:16:30,760 Speaker 1: mathematically people forget that if you only went down half 312 00:16:30,760 --> 00:16:32,960 Speaker 1: of what the market went down every day, you would 313 00:16:32,960 --> 00:16:36,280 Speaker 1: only need to go up six in the up market 314 00:16:36,360 --> 00:16:39,280 Speaker 1: to outperform. So it's a lot better to try to 315 00:16:39,360 --> 00:16:43,200 Speaker 1: protect in volatility than it is trying to get that upside. 316 00:16:43,280 --> 00:16:44,800 Speaker 1: You know, when the market's up to I want to 317 00:16:44,800 --> 00:16:47,120 Speaker 1: be up two point two. That's a lot harder to 318 00:16:47,200 --> 00:16:49,920 Speaker 1: do and you get crushed on the down. So my 319 00:16:49,960 --> 00:16:52,800 Speaker 1: advice and volatility is start to look at risk and 320 00:16:52,840 --> 00:16:55,080 Speaker 1: start to manage risk. And you can find that in 321 00:16:55,160 --> 00:16:57,520 Speaker 1: some defensives right now. You can find that in health 322 00:16:57,560 --> 00:17:00,080 Speaker 1: care right now. So that's some of the things that 323 00:17:00,120 --> 00:17:02,560 Speaker 1: we're doing for our clients. And if we are six 324 00:17:02,600 --> 00:17:05,280 Speaker 1: short days away from the FED meeting, and the narrative 325 00:17:05,320 --> 00:17:07,239 Speaker 1: for a few months now has been you know, the 326 00:17:07,240 --> 00:17:09,080 Speaker 1: FED put is dead. You're not going to see the 327 00:17:09,119 --> 00:17:12,880 Speaker 1: central bank come in and prop up asset prices. But 328 00:17:13,320 --> 00:17:17,200 Speaker 1: I mean the SMP five hundred flirting with correction territory. 329 00:17:17,480 --> 00:17:23,560 Speaker 1: At what point do you think that makes FED policymakers blink? Well, um, 330 00:17:23,640 --> 00:17:28,480 Speaker 1: they blinked when we when Russia invaded Ukraine. Remember that Thursday. 331 00:17:28,520 --> 00:17:30,359 Speaker 1: They came out and there was so much FED speak. 332 00:17:30,800 --> 00:17:34,360 Speaker 1: They were almost scared. And I'm putting in my language here. 333 00:17:34,400 --> 00:17:36,600 Speaker 1: I don't want to put words in their mouth, but 334 00:17:36,760 --> 00:17:38,720 Speaker 1: they were almost scared to see a negative three and 335 00:17:38,720 --> 00:17:41,280 Speaker 1: a half percent down day. They had to come out 336 00:17:41,320 --> 00:17:43,720 Speaker 1: and talk about that they might not raise interest rates 337 00:17:43,720 --> 00:17:45,639 Speaker 1: as much and they might not do this. And we 338 00:17:45,680 --> 00:17:48,040 Speaker 1: saw that swing negative three and a half percent to 339 00:17:48,119 --> 00:17:52,040 Speaker 1: positive three and a half percent. Why only because the 340 00:17:52,040 --> 00:17:55,760 Speaker 1: FED right, So we've already seen them blink. They're they're 341 00:17:55,800 --> 00:17:59,119 Speaker 1: absolutely worried about this market. And I'm not saying they 342 00:17:59,119 --> 00:18:04,120 Speaker 1: shouldn't be, but the BED making a mistake, a policy mistake, 343 00:18:04,240 --> 00:18:07,600 Speaker 1: has definitely increased because of what's going on in the 344 00:18:07,600 --> 00:18:11,560 Speaker 1: world today. Their their vision is not as clear. It's cloudy. 345 00:18:11,600 --> 00:18:15,720 Speaker 1: If you will inflation, I mean seven point nine. Really, 346 00:18:15,800 --> 00:18:17,600 Speaker 1: what does it matter if it's seven point nine or 347 00:18:17,640 --> 00:18:22,440 Speaker 1: eight or set the point is seven inflation, that's the point. 348 00:18:22,480 --> 00:18:25,920 Speaker 1: So they are backed into a corner um and this 349 00:18:26,000 --> 00:18:30,640 Speaker 1: creates a lot of problems and it increases the larger 350 00:18:30,680 --> 00:18:34,400 Speaker 1: downside risks. Again another reason why for our clients as 351 00:18:34,400 --> 00:18:38,800 Speaker 1: a whole, you need to look at managing risks. We 352 00:18:38,800 --> 00:18:43,040 Speaker 1: we do see the market is priced in a lot 353 00:18:43,440 --> 00:18:46,520 Speaker 1: of of of hikes and I guess we'll talk with 354 00:18:46,560 --> 00:18:48,480 Speaker 1: you about that a little bit later, David. Great having 355 00:18:48,520 --> 00:18:51,080 Speaker 1: you on the program, Dave Harden talking to us about 356 00:18:51,200 --> 00:18:58,080 Speaker 1: what we're seeing. Now, now let's get over to Amos Shaw, 357 00:18:58,200 --> 00:19:01,400 Speaker 1: the president of A. L. T R. Creed Diamonds, and 358 00:19:02,320 --> 00:19:07,560 Speaker 1: you know, we've seen such incredible swings in commodity prices, Amish, 359 00:19:07,640 --> 00:19:10,720 Speaker 1: I wonder if the diamond industry has been hit the 360 00:19:10,800 --> 00:19:14,960 Speaker 1: same way as um the moves we've seen in oil 361 00:19:15,280 --> 00:19:20,120 Speaker 1: or in gold, et cetera. Even though, of course the 362 00:19:20,200 --> 00:19:23,600 Speaker 1: kind of diamonds that that you're creating are different than 363 00:19:23,640 --> 00:19:28,760 Speaker 1: the kind that are mined. So the overall diamond industry 364 00:19:28,920 --> 00:19:32,560 Speaker 1: in the inflationary situation in the last six months has 365 00:19:32,600 --> 00:19:36,879 Speaker 1: already seen almost like a price increase. However, with the 366 00:19:37,000 --> 00:19:42,800 Speaker 1: current situation of conflict with the Russia being almost of 367 00:19:42,880 --> 00:19:47,560 Speaker 1: the diamonds in circulation in about twy of new production 368 00:19:47,640 --> 00:19:50,320 Speaker 1: that comes in the system is everywhere from those areas. 369 00:19:51,320 --> 00:19:55,520 Speaker 1: Um there is no direct sanctions on diamonds, the sanctioned 370 00:19:55,600 --> 00:19:59,080 Speaker 1: around the bank as well as the CEO. However, it's 371 00:19:59,119 --> 00:20:02,320 Speaker 1: the consumers sentiment that's going to make the most difference. 372 00:20:03,000 --> 00:20:06,879 Speaker 1: So with the consumers starting to talk about it, I 373 00:20:06,880 --> 00:20:11,960 Speaker 1: think we're expecting a price search in a tightening of supply. Wow, 374 00:20:12,119 --> 00:20:15,000 Speaker 1: I mean we all. I feel like it's been well broadcast. 375 00:20:15,080 --> 00:20:17,480 Speaker 1: How big of a supplier of you know, energy of 376 00:20:17,560 --> 00:20:21,160 Speaker 1: natural gas Russia is haven't heard as much about diamonds. 377 00:20:21,160 --> 00:20:24,120 Speaker 1: And it's interesting that this is happening at the same 378 00:20:24,160 --> 00:20:27,200 Speaker 1: time as you know, we're heading into a so called 379 00:20:27,280 --> 00:20:30,120 Speaker 1: wedding boom. I don't know. If I look at my mailbox, 380 00:20:30,119 --> 00:20:33,160 Speaker 1: I've gotten so many safe the dates for the coming year, 381 00:20:33,840 --> 00:20:38,320 Speaker 1: how because they were put off for two years exactly exactly. So, 382 00:20:38,480 --> 00:20:40,639 Speaker 1: I mean the fact that you do have you know 383 00:20:40,920 --> 00:20:44,720 Speaker 1: already you're seeing these price increases given the demand obviously 384 00:20:44,840 --> 00:20:48,200 Speaker 1: is growing as well. I mean, how how much higher 385 00:20:48,240 --> 00:20:52,399 Speaker 1: do you think the prices could naturally go? Here? I 386 00:20:52,440 --> 00:20:57,800 Speaker 1: think the consumer sentiment could rise this anything between ten. However, 387 00:20:58,359 --> 00:21:03,280 Speaker 1: UM geopolitically shift. Consumer today is starting to look at 388 00:21:03,280 --> 00:21:06,919 Speaker 1: the options because today they have a choice. They have 389 00:21:06,960 --> 00:21:10,800 Speaker 1: a choice of created diamonds, labgown diamonds that are grown 390 00:21:10,920 --> 00:21:14,960 Speaker 1: above the earth, that are not grown in these contract territories, 391 00:21:15,440 --> 00:21:19,160 Speaker 1: cutting polished in other countries, and jewelry is made either 392 00:21:19,200 --> 00:21:22,800 Speaker 1: in US or in Asia. So they have a choice 393 00:21:23,400 --> 00:21:25,440 Speaker 1: with US going you know, we're expecting two point five 394 00:21:25,520 --> 00:21:29,600 Speaker 1: million million millennials to get married this to get engaged 395 00:21:29,640 --> 00:21:34,720 Speaker 1: this year, So there is a choice. Um, the price 396 00:21:34,840 --> 00:21:37,040 Speaker 1: is going to be subjected to how long this conflict last? 397 00:21:37,400 --> 00:21:39,920 Speaker 1: Where are your Where do you do all of your work? 398 00:21:40,119 --> 00:21:44,280 Speaker 1: Where do you create your diamonds and cut and polish them? 399 00:21:44,359 --> 00:21:48,280 Speaker 1: Is is Russia? Part of the supply chain? No are 400 00:21:48,520 --> 00:21:52,560 Speaker 1: growing is actually in India. Cutting and polishing is in India. 401 00:21:53,280 --> 00:21:55,479 Speaker 1: The design of jewelry is done in United States. And 402 00:21:55,560 --> 00:21:58,920 Speaker 1: we finished jewelry between China and United States. How much 403 00:21:59,000 --> 00:22:03,679 Speaker 1: how much of competitor are you too? You know earth 404 00:22:03,760 --> 00:22:07,919 Speaker 1: mind diamonds. I mean when people are looking, um, do 405 00:22:08,000 --> 00:22:12,399 Speaker 1: they get to see both choices? Is price um roughly 406 00:22:12,440 --> 00:22:19,280 Speaker 1: in line? Is the quality indistinguishable? So u A Alto 407 00:22:19,280 --> 00:22:24,439 Speaker 1: created diamond is chemically, optically and physically same as an 408 00:22:24,440 --> 00:22:27,280 Speaker 1: earth mind diamond. The only difference that's grown about the 409 00:22:27,280 --> 00:22:30,600 Speaker 1: Earth from a price value being that we are not 410 00:22:30,680 --> 00:22:34,439 Speaker 1: a part of a monolith pricing strategy. It's demand and supply. 411 00:22:34,640 --> 00:22:38,440 Speaker 1: So today, uh, it's almost a fifty better value. So 412 00:22:38,480 --> 00:22:41,000 Speaker 1: you almost get a fifty percent larger diamond for the 413 00:22:41,040 --> 00:22:44,840 Speaker 1: same price. And the best part is over seventy of 414 00:22:44,880 --> 00:22:48,600 Speaker 1: consumers today that shop for engagement drinks are aware of 415 00:22:48,680 --> 00:22:52,199 Speaker 1: lab grown diamonds, and so, I mean, I could definitely 416 00:22:52,280 --> 00:22:53,920 Speaker 1: see how this would be a tail when for lab 417 00:22:53,960 --> 00:22:57,359 Speaker 1: grown diamonds. But what about some of the diamond alternatives. 418 00:22:57,640 --> 00:23:00,600 Speaker 1: I hope I say this word right. Mossonites, that's something 419 00:23:00,680 --> 00:23:02,639 Speaker 1: you hear about more and more as sort of a 420 00:23:02,680 --> 00:23:07,760 Speaker 1: substitute for exactly Yeah, I can't even pretend to pronounce that. 421 00:23:07,800 --> 00:23:12,120 Speaker 1: But how how do you see that competitive landscape unfolding? Actually, 422 00:23:12,240 --> 00:23:14,080 Speaker 1: this is very good you brought it up because in 423 00:23:14,119 --> 00:23:20,760 Speaker 1: two thousand eighteen UM the US Federal Commission made sure 424 00:23:21,080 --> 00:23:24,800 Speaker 1: that these can no longer be even identified to look 425 00:23:24,880 --> 00:23:28,520 Speaker 1: like or market it as diamond alternatives. Cubic, zirconia and 426 00:23:28,600 --> 00:23:32,120 Speaker 1: moisonite are actually formed from chemicals. One is their conium 427 00:23:32,119 --> 00:23:35,760 Speaker 1: dioxide and another is another chemical that is given the 428 00:23:35,840 --> 00:23:38,640 Speaker 1: form in a structure to look like a diamond. They're 429 00:23:38,640 --> 00:23:43,000 Speaker 1: actually not diamonds. Only earth mine diamonds and lab grown 430 00:23:43,000 --> 00:23:48,160 Speaker 1: diamonds and ultra created diamonds are carbon. They are diamonds. 431 00:23:49,840 --> 00:23:52,879 Speaker 1: It's interesting I'm seeing such a broad price range um 432 00:23:52,920 --> 00:23:56,400 Speaker 1: when I look up just google Altar created diamonds and 433 00:23:56,560 --> 00:23:59,840 Speaker 1: click on the shopping tab. Some of them are two 434 00:24:00,080 --> 00:24:02,119 Speaker 1: rand three grand for two carrots. Some of them are 435 00:24:02,160 --> 00:24:06,840 Speaker 1: fifteen grand for two carrots. So it depends on the quality. 436 00:24:06,920 --> 00:24:10,680 Speaker 1: Just like earth Mind diamonds, the difference of prize is 437 00:24:10,720 --> 00:24:14,920 Speaker 1: relative to the characteristics the shape, the size, the color 438 00:24:14,960 --> 00:24:18,760 Speaker 1: and clarity. They are graded just like earth Mind diamonds 439 00:24:18,760 --> 00:24:22,840 Speaker 1: because they're both diamonds, and hence the pricing is uh 440 00:24:23,119 --> 00:24:26,800 Speaker 1: to the Four Seas and ultimately the demand and supply 441 00:24:26,920 --> 00:24:29,800 Speaker 1: for them, and thee very important thing that has changes. 442 00:24:31,080 --> 00:24:34,520 Speaker 1: Technology evolved, the value has got better for the consumer 443 00:24:34,760 --> 00:24:37,560 Speaker 1: and excessibility has gone easier. All right, Amy, thanks so 444 00:24:37,600 --> 00:24:39,520 Speaker 1: much for joining us, Amy Shaw, their president of alter 445 00:24:40,040 --> 00:24:44,280 Speaker 1: Created Diamonds. Thanks for listening to the Bloomberg Markets podcast. 446 00:24:44,680 --> 00:24:47,879 Speaker 1: You can subscribe and listen to interviews of Apple Podcasts 447 00:24:48,000 --> 00:24:51,920 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 448 00:24:51,920 --> 00:24:55,960 Speaker 1: on Twitter at Matt Miller three, pet On Ball Sweeney, 449 00:24:56,000 --> 00:24:58,639 Speaker 1: I'm on Twitter at pt Sweeney. Before the podcast, you 450 00:24:58,640 --> 00:25:03,119 Speaker 1: can always catch us worldwid at Bloomberg Radio m