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 --> 00:00:15,600 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 --> 00:00:22,520 Speaker 1: at Bloomberg dot com slash podcast. We were talking about 7 00:00:22,520 --> 00:00:24,800 Speaker 1: the two year you know, bonds, and this is your 8 00:00:24,840 --> 00:00:28,680 Speaker 1: Bailey Wick Matt being a German resident for so many years, 9 00:00:28,680 --> 00:00:32,720 Speaker 1: but again the two year German bond fort the buond, 10 00:00:32,840 --> 00:00:36,360 Speaker 1: the boon forty two basis points down twenty five basis 11 00:00:36,400 --> 00:00:39,720 Speaker 1: points today just brutal. So this is perfect timing for 12 00:00:39,760 --> 00:00:43,880 Speaker 1: our next guest, Pooja kumera European rate strategist at t D. Pooja, 13 00:00:43,960 --> 00:00:47,720 Speaker 1: do you look at the European you know, just the 14 00:00:47,760 --> 00:00:53,640 Speaker 1: German bond market. What's it telling us today? Good money? Yes, 15 00:00:53,680 --> 00:00:57,440 Speaker 1: it doesn't really think that ECB high fifty basics points yesterday. 16 00:00:57,600 --> 00:01:00,160 Speaker 1: I think what markets are seeing right now is that 17 00:01:00,640 --> 00:01:04,280 Speaker 1: Europe cannot escape procession, and that has been seen in 18 00:01:04,319 --> 00:01:07,360 Speaker 1: the last couple of weeks because we are reading more 19 00:01:07,480 --> 00:01:11,360 Speaker 1: into weaker data than instation strips, and even next week 20 00:01:11,400 --> 00:01:13,440 Speaker 1: when we are going to get the next euro area 21 00:01:13,480 --> 00:01:16,559 Speaker 1: of dash PM MICE, I doubt see itsel up that much, 22 00:01:16,720 --> 00:01:21,919 Speaker 1: just because the move is all towards the growth data 23 00:01:22,040 --> 00:01:26,679 Speaker 1: I've been instation data. I think I just want to 24 00:01:26,680 --> 00:01:30,240 Speaker 1: point out that we saw this morning we had more 25 00:01:30,360 --> 00:01:33,720 Speaker 1: ECB headlines. Kasimir came out and said the September rate 26 00:01:33,800 --> 00:01:39,399 Speaker 1: hike could be UM fifty as well, obviously or fifty UM, 27 00:01:39,480 --> 00:01:42,360 Speaker 1: so I think that's what moved markets there. But even 28 00:01:42,400 --> 00:01:46,560 Speaker 1: here in the U s PUJA we've seen massive moves. 29 00:01:46,600 --> 00:01:48,640 Speaker 1: I mean, UM Paul and I were just looking at 30 00:01:48,680 --> 00:01:51,960 Speaker 1: the ten year We're down twenty seven basis points in 31 00:01:52,080 --> 00:01:58,040 Speaker 1: two sessions. What's going on? It's it's it's been horrible. 32 00:01:58,120 --> 00:02:01,680 Speaker 1: I think one thing to note yesterday priced action that 33 00:02:01,840 --> 00:02:04,600 Speaker 1: we saw across rates for mostly driven by a very 34 00:02:04,640 --> 00:02:07,120 Speaker 1: poor liquidity because we could see a lot of block 35 00:02:07,240 --> 00:02:10,080 Speaker 1: trades having that cause to move, and today's move us 36 00:02:10,120 --> 00:02:13,160 Speaker 1: primarily with one of the other. We've got reeper data 37 00:02:13,240 --> 00:02:16,639 Speaker 1: from Europe MS to us p M, so I think 38 00:02:16,960 --> 00:02:20,280 Speaker 1: right now any reaction is anyway is getting much more 39 00:02:20,320 --> 00:02:25,000 Speaker 1: exaggerated because we are heading towards the summer liquidity season 40 00:02:25,360 --> 00:02:29,240 Speaker 1: and also markets somehow now we know that we are 41 00:02:29,320 --> 00:02:33,600 Speaker 1: sitting the end of the hiking cycles. They know that 42 00:02:33,680 --> 00:02:37,040 Speaker 1: we could see maybe a couple of big moves from 43 00:02:37,040 --> 00:02:40,800 Speaker 1: our central banks bankers, but they cannot continue. And that's 44 00:02:40,840 --> 00:02:42,679 Speaker 1: the kind of message that we've got from Easy to 45 00:02:42,680 --> 00:02:45,799 Speaker 1: be itself. They have to move forward rate guidance that 46 00:02:45,960 --> 00:02:48,000 Speaker 1: we had before. They haven't said that they will be 47 00:02:48,080 --> 00:02:51,880 Speaker 1: looking for bigger calibrations with respect to rate heights or 48 00:02:51,880 --> 00:02:55,000 Speaker 1: September that we had before. So September could either be 49 00:02:55,080 --> 00:02:58,200 Speaker 1: twenty five, fifty or seventy five. And I think if 50 00:02:58,360 --> 00:03:02,000 Speaker 1: if data continues to decree, rate market will start even 51 00:03:02,040 --> 00:03:04,400 Speaker 1: thinking about twenty five, markets will think that the ECB 52 00:03:04,520 --> 00:03:07,120 Speaker 1: is actually done with gritis. So I think you are 53 00:03:07,720 --> 00:03:10,520 Speaker 1: we will be extremely data dependent and we could see 54 00:03:10,760 --> 00:03:15,720 Speaker 1: moving much more exacuated just because there's thin liquidity. So 55 00:03:15,760 --> 00:03:18,640 Speaker 1: put you know, so much news coming out of Europe 56 00:03:19,080 --> 00:03:22,200 Speaker 1: this week with the ECB and what's going on in Italy. 57 00:03:22,320 --> 00:03:24,320 Speaker 1: Let's focus on just real quickly on Italy here as 58 00:03:24,320 --> 00:03:26,480 Speaker 1: we have a little bit of the benefit of hindsight 59 00:03:26,600 --> 00:03:32,079 Speaker 1: here with drug resignation, how's that viewed within the rates market, 60 00:03:32,120 --> 00:03:35,120 Speaker 1: the European rates market. It can't be good. But how 61 00:03:35,160 --> 00:03:38,760 Speaker 1: much of a concern is it? It is a concern. 62 00:03:38,800 --> 00:03:41,440 Speaker 1: I think markets will get much more concerned when we 63 00:03:41,520 --> 00:03:45,080 Speaker 1: hit closer to the election in September. Train ships. ECB 64 00:03:45,320 --> 00:03:49,320 Speaker 1: has announced to tp I tool, but first of all, 65 00:03:49,400 --> 00:03:52,400 Speaker 1: this tool needs to be activated by the member states 66 00:03:52,440 --> 00:03:55,240 Speaker 1: and comes with a lot of fistical conditions, so I 67 00:03:55,240 --> 00:03:58,360 Speaker 1: think no member state would actually be ready to actually 68 00:03:58,480 --> 00:04:01,600 Speaker 1: use it. It seems more of namesake pool right now. 69 00:04:01,640 --> 00:04:04,520 Speaker 1: So I think we did see I think today's move 70 00:04:04,640 --> 00:04:07,880 Speaker 1: is more of a positioning let move, but it's talent 71 00:04:07,920 --> 00:04:11,960 Speaker 1: politics will start actually getting more and more attention as 72 00:04:12,000 --> 00:04:14,200 Speaker 1: we had closed it to this September day, so I 73 00:04:14,240 --> 00:04:18,600 Speaker 1: would actually continue to stay with the moves with respect 74 00:04:18,600 --> 00:04:23,039 Speaker 1: to wideners in btpsspots, I'm I'm a bit cautious about 75 00:04:23,080 --> 00:04:26,360 Speaker 1: the rally that we have seen today. All right, Puja Kuma, 76 00:04:26,360 --> 00:04:29,320 Speaker 1: thank you so much for joining us, Puja Kuma, Europeans 77 00:04:29,520 --> 00:04:37,440 Speaker 1: Rates strategists for a t D. Looking at the markets here, 78 00:04:37,560 --> 00:04:39,920 Speaker 1: just kind of churning here. But we've got the SMP down, 79 00:04:39,960 --> 00:04:41,960 Speaker 1: you know, kind of more or less. We've got the 80 00:04:42,000 --> 00:04:45,000 Speaker 1: fixed income down double digits wanted to look at the 81 00:04:45,040 --> 00:04:47,719 Speaker 1: corporates or treasuries. I mean, that's sixty or forty portfolio 82 00:04:47,880 --> 00:04:51,080 Speaker 1: just got crushed in the first half of the year. 83 00:04:51,480 --> 00:04:53,160 Speaker 1: I don't know how these people do it for a living. 84 00:04:53,160 --> 00:04:55,040 Speaker 1: Brent Shooty, he does it for a living. He's a 85 00:04:55,120 --> 00:04:59,240 Speaker 1: chief investment strategist at Northwestern Mutual. Brent, how do you 86 00:04:59,279 --> 00:05:02,440 Speaker 1: and your team? But wait, hang on a second, Brent, Paul, 87 00:05:02,600 --> 00:05:05,040 Speaker 1: you did this for a living for three decades. Yes, 88 00:05:05,560 --> 00:05:09,279 Speaker 1: I still don't get longer doing it. Probably, yes, exactly. 89 00:05:09,279 --> 00:05:11,800 Speaker 1: That's why I'm on the radio now. Brent. How do 90 00:05:11,880 --> 00:05:15,440 Speaker 1: you and your team's kind of reset after that brutal 91 00:05:15,480 --> 00:05:19,039 Speaker 1: first half of two Yeah, I guess kind of commenting 92 00:05:19,080 --> 00:05:21,480 Speaker 1: on the stocks and bonds both thing down and how 93 00:05:21,520 --> 00:05:23,800 Speaker 1: that's kind of I think shell shocked many investors. They 94 00:05:23,800 --> 00:05:26,159 Speaker 1: shouldn't expect that to happen again. And so if I 95 00:05:26,200 --> 00:05:28,880 Speaker 1: take you back to ninety six and I look at 96 00:05:28,920 --> 00:05:32,279 Speaker 1: stocks and bonds, there have been twenty five periods, twenty 97 00:05:32,320 --> 00:05:35,520 Speaker 1: five annual time horizons in which stocks have been negative 98 00:05:35,560 --> 00:05:38,720 Speaker 1: since ninety six and bonds were positive, and all but 99 00:05:38,880 --> 00:05:41,599 Speaker 1: four of those, and so you have this weird period 100 00:05:41,600 --> 00:05:45,560 Speaker 1: of time beginning of two. The other three time periods 101 00:05:45,640 --> 00:05:48,520 Speaker 1: or four time periods, where nineteen thirty one, the Great Depression, 102 00:05:48,839 --> 00:05:53,719 Speaker 1: ninety six, nineteen sixty nine, in nineteen seventy three, besides 103 00:05:53,760 --> 00:05:55,960 Speaker 1: the Great Depression, the thing that occurred in each and 104 00:05:56,000 --> 00:05:58,840 Speaker 1: every one of the other ones was high inflation. And 105 00:05:58,839 --> 00:06:01,120 Speaker 1: this is where we recommend people own commodities because in 106 00:06:01,160 --> 00:06:03,560 Speaker 1: those other three time periods that I mentioned, besides the 107 00:06:03,560 --> 00:06:06,400 Speaker 1: Great Depression and now the beginning of two, um, you've 108 00:06:06,400 --> 00:06:09,320 Speaker 1: seen commodity prices rise. And so I guess two takeaways 109 00:06:09,320 --> 00:06:11,440 Speaker 1: from that one you need to own some commodities as 110 00:06:11,480 --> 00:06:14,880 Speaker 1: part of your long allocation. And to don't expect this 111 00:06:14,960 --> 00:06:17,719 Speaker 1: to happen back to back years because it hasn't happened. 112 00:06:17,720 --> 00:06:19,720 Speaker 1: It doesn't mean it can't, but it hasn't happened in 113 00:06:19,720 --> 00:06:22,839 Speaker 1: the ninety other years. So are you saying, then, Brent, 114 00:06:22,960 --> 00:06:26,720 Speaker 1: A portfolio is not dead. It is not dead. I 115 00:06:26,720 --> 00:06:29,080 Speaker 1: think it's been declared dead about twenty seven times in 116 00:06:29,080 --> 00:06:32,000 Speaker 1: my twenty seven year career. Apparently the beginning part of 117 00:06:32,000 --> 00:06:34,560 Speaker 1: this year was trying. But UM, I don't think that 118 00:06:34,600 --> 00:06:37,279 Speaker 1: renders it dead for just because it hasn't worked for 119 00:06:37,279 --> 00:06:41,159 Speaker 1: six or some months, and what about commodities? Retail investors 120 00:06:41,200 --> 00:06:44,640 Speaker 1: should get that exposure. How do you think, um, actually, 121 00:06:45,040 --> 00:06:50,920 Speaker 1: you know, um trading futures or buying ETFs or a fund. 122 00:06:50,960 --> 00:06:52,120 Speaker 1: What do you think is the best way for a 123 00:06:52,160 --> 00:06:56,839 Speaker 1: retail investor to get pork bellies exposure? Sure probably the 124 00:06:56,880 --> 00:06:59,160 Speaker 1: easiest in the most efficient way for them to get it. 125 00:06:59,200 --> 00:07:00,520 Speaker 1: I don't think you need to of it. You saw 126 00:07:00,560 --> 00:07:02,200 Speaker 1: what actually happened the first part of the year. How 127 00:07:02,240 --> 00:07:04,320 Speaker 1: a little can go a long way. Uh, And certainly 128 00:07:04,360 --> 00:07:06,120 Speaker 1: over longer periods of time, it's not going to return 129 00:07:06,120 --> 00:07:08,720 Speaker 1: as much as the stock market. Um, they should get 130 00:07:08,760 --> 00:07:12,400 Speaker 1: that through a diversified exposure to commodities. Perhaps something called 131 00:07:12,440 --> 00:07:15,720 Speaker 1: the Bloomberg Commodities Index is kind of a decent place 132 00:07:15,760 --> 00:07:18,880 Speaker 1: to think about funds tied to that. Certainly it's not 133 00:07:18,960 --> 00:07:21,560 Speaker 1: as tax efficient as money, but I think, as we've 134 00:07:21,600 --> 00:07:24,320 Speaker 1: seen during recent time periods when inflation is rising, it 135 00:07:24,360 --> 00:07:27,040 Speaker 1: certainly helps shelter you from some of the losses that 136 00:07:27,080 --> 00:07:29,440 Speaker 1: are occurring in your other parts of the portfolio. You know, Brent, 137 00:07:29,600 --> 00:07:32,600 Speaker 1: when pros like you say, boy in particularly the fixed 138 00:07:32,640 --> 00:07:36,720 Speaker 1: income folks say we've never seen negative returns in the 139 00:07:36,760 --> 00:07:38,800 Speaker 1: fixed income markets like we saw in the first half. 140 00:07:38,920 --> 00:07:40,400 Speaker 1: When I hear stuff like that, I'm like, well, I'm 141 00:07:40,400 --> 00:07:42,840 Speaker 1: gonna go out and buy that stuff. But it's not 142 00:07:42,960 --> 00:07:45,800 Speaker 1: the same for equities, and we're down and equities I 143 00:07:45,840 --> 00:07:47,440 Speaker 1: don't feel like I have to run out and buy 144 00:07:47,480 --> 00:07:51,600 Speaker 1: equities here. Um, how are you guys thinking about kind 145 00:07:51,640 --> 00:07:55,080 Speaker 1: of you know, just maybe valuation or can't get any 146 00:07:55,120 --> 00:07:58,840 Speaker 1: worse than than the psychology of the markets. Yeah, I mean, 147 00:07:58,840 --> 00:08:00,680 Speaker 1: you've seen horrible son, I'm and I know that this 148 00:08:00,720 --> 00:08:02,520 Speaker 1: week we had the Bank of America survey that everybody's 149 00:08:02,560 --> 00:08:05,680 Speaker 1: in referencing, but you've seen the American Association of Individual Investors. 150 00:08:05,720 --> 00:08:09,000 Speaker 1: I believe we've had uh eight sub twenty readings, which 151 00:08:09,080 --> 00:08:12,360 Speaker 1: doesn't occur very often going back to and most of 152 00:08:12,400 --> 00:08:17,400 Speaker 1: those have given away to positive future year. By the way, Yeah, 153 00:08:17,520 --> 00:08:20,960 Speaker 1: people's emotion kind of a contraining indicator. And so I'm 154 00:08:20,960 --> 00:08:23,520 Speaker 1: not suggesting it can't get any worse. It certainly could, 155 00:08:23,520 --> 00:08:26,040 Speaker 1: But I do think the worst isn't on the inflation side, 156 00:08:26,280 --> 00:08:29,320 Speaker 1: which I do think will help alleviate those fears, which 157 00:08:29,360 --> 00:08:33,320 Speaker 1: are essentially that the economy slows but inflation doesn't. And 158 00:08:33,360 --> 00:08:34,959 Speaker 1: I think the reason why the markets handled. Some of 159 00:08:35,000 --> 00:08:37,720 Speaker 1: the bad news on the economic side over the past 160 00:08:37,760 --> 00:08:41,320 Speaker 1: few weeks that we've seen, including today, is because inflation 161 00:08:41,360 --> 00:08:43,800 Speaker 1: is starting to push lower. I think people are catching 162 00:08:43,800 --> 00:08:47,439 Speaker 1: on that inflation is being driven lower. You mentioned agriculture 163 00:08:47,440 --> 00:08:49,520 Speaker 1: in the beginning. I mean I talked about commodities. The 164 00:08:49,559 --> 00:08:52,040 Speaker 1: irony of commodities is now they're falling just a bit, 165 00:08:52,080 --> 00:08:54,080 Speaker 1: which is actually good for your stock and bond portfolio. 166 00:08:54,679 --> 00:08:56,680 Speaker 1: But I think it's also good for inflation pushing forward. 167 00:08:56,679 --> 00:08:58,920 Speaker 1: And I think you're gonna see inflation fall, which will 168 00:08:58,920 --> 00:09:01,800 Speaker 1: allow the market to guide. The Bloomberg Commodities Index UM 169 00:09:01,920 --> 00:09:04,960 Speaker 1: started the year just under a hundred. It peaked in 170 00:09:05,080 --> 00:09:09,800 Speaker 1: June at UM one thirty six seven, and now we're 171 00:09:09,800 --> 00:09:12,880 Speaker 1: back down to one seventeen. And it's also been a 172 00:09:12,880 --> 00:09:15,240 Speaker 1: pretty good month for stocks. I mean, we started the 173 00:09:15,320 --> 00:09:18,040 Speaker 1: month off at thirty and change I think on the SMP, 174 00:09:18,200 --> 00:09:21,040 Speaker 1: and now we're pushing four thousand. Okay, it's a down day, 175 00:09:21,080 --> 00:09:25,079 Speaker 1: but it's been a good week. UM. When markets fall 176 00:09:25,400 --> 00:09:30,160 Speaker 1: twenty some percent brent, for a retail investor who's got 177 00:09:30,200 --> 00:09:34,400 Speaker 1: a longer time horizon, isn't it a decent idea to 178 00:09:34,440 --> 00:09:36,640 Speaker 1: go ahead and at least dollar cost average in or 179 00:09:36,679 --> 00:09:39,240 Speaker 1: am I dated in that thinking? No, you're not dated. 180 00:09:39,240 --> 00:09:41,040 Speaker 1: All the all the old rules of investing still work. 181 00:09:41,120 --> 00:09:43,240 Speaker 1: The first one that I've mentioned to people listening in 182 00:09:43,320 --> 00:09:45,800 Speaker 1: is don't sell what others are um, even if you 183 00:09:45,840 --> 00:09:47,559 Speaker 1: don't want to buy, don't sell what you have. But 184 00:09:47,679 --> 00:09:51,000 Speaker 1: certainly adding to your exposure during downturns, it's historically proven 185 00:09:51,040 --> 00:09:52,079 Speaker 1: to be a good thing, and I don't think this 186 00:09:52,160 --> 00:09:54,400 Speaker 1: time will be any different. You certainly may have to 187 00:09:54,480 --> 00:09:57,520 Speaker 1: go through some uh periods of doubt about what you 188 00:09:57,640 --> 00:10:00,520 Speaker 1: just did. Um, but certainly, you know, I don't think 189 00:10:00,520 --> 00:10:02,280 Speaker 1: it's going to be a bad idea if you do, 190 00:10:02,520 --> 00:10:04,120 Speaker 1: you know, two, three, or four five years from now, 191 00:10:04,120 --> 00:10:07,400 Speaker 1: which hopefully, if you're buying stocks, you have that horizon 192 00:10:07,520 --> 00:10:11,000 Speaker 1: for those to actually kind of come to fruition. Alright, 193 00:10:11,040 --> 00:10:15,000 Speaker 1: good stuff. Brent Shrudy joins his chief investment strategist for 194 00:10:15,040 --> 00:10:18,160 Speaker 1: Northwestern Mutual. You know, he's in Milwaukee, so that it's 195 00:10:18,160 --> 00:10:20,199 Speaker 1: summertime now, it's probably like a hundred degrees there and 196 00:10:20,240 --> 00:10:22,319 Speaker 1: it'll be snow on the ground in two months. He's 197 00:10:22,440 --> 00:10:26,600 Speaker 1: he's the Chicago guy though NBA from University Chicago. No, Yeah, 198 00:10:26,679 --> 00:10:29,680 Speaker 1: NBA from those guys work hard, they're smart, they're all 199 00:10:29,720 --> 00:10:32,160 Speaker 1: about the numbers. Um. I'm more of a big picture 200 00:10:32,240 --> 00:10:34,839 Speaker 1: story guy. But you know, Chicago people, you've got to 201 00:10:34,840 --> 00:10:38,600 Speaker 1: be into this, like those freshwater economics come down. Yeah, exactly. 202 00:10:38,840 --> 00:10:44,560 Speaker 1: All right, good stuff. Bruce Levine joins the CEO of 203 00:10:44,720 --> 00:10:48,400 Speaker 1: night Shares, and we're gonna talk first, Bruce about what 204 00:10:48,480 --> 00:10:51,240 Speaker 1: that is. I know that UM for a long time 205 00:10:51,280 --> 00:10:53,959 Speaker 1: in crypto, it's been a good strategy to buy at 206 00:10:53,960 --> 00:10:55,920 Speaker 1: the close and sell at the open, or buy on 207 00:10:55,960 --> 00:10:58,640 Speaker 1: Friday and sell on Monday. Is that a similar idea 208 00:10:58,679 --> 00:11:02,560 Speaker 1: behind night Shares? What's night Years? Yeah, I think there's 209 00:11:02,600 --> 00:11:06,959 Speaker 1: some similarity there night chairs. Is this really with the 210 00:11:07,040 --> 00:11:09,600 Speaker 1: night effect? I should say? Is this really surprising phenomenon 211 00:11:09,880 --> 00:11:13,640 Speaker 1: that a very large percentage of the returns of being 212 00:11:13,679 --> 00:11:16,680 Speaker 1: buy and hol they're coming through the night session, and 213 00:11:16,720 --> 00:11:20,520 Speaker 1: they're coming with substantially less volatility than the daytime session. 214 00:11:21,040 --> 00:11:23,600 Speaker 1: So from the risk adjested basis, it makes a lot 215 00:11:23,640 --> 00:11:25,800 Speaker 1: of sense to be playing in the night session as 216 00:11:25,840 --> 00:11:29,920 Speaker 1: compared with the day session. All right, So what securities 217 00:11:29,920 --> 00:11:35,880 Speaker 1: in particular have a meaningful night session? If you will, Yeah, 218 00:11:36,000 --> 00:11:38,480 Speaker 1: it's interesting in the night effect we found is very 219 00:11:38,520 --> 00:11:42,080 Speaker 1: broad in acrey markets. It exists around the world. So 220 00:11:42,160 --> 00:11:45,600 Speaker 1: if you were a Japanese investor who would buy the 221 00:11:45,679 --> 00:11:48,880 Speaker 1: Japanese clothes and sell the Japanese open you'd have good 222 00:11:49,000 --> 00:11:51,600 Speaker 1: risk agested returns. If you're a German investor, same thing, 223 00:11:52,400 --> 00:11:54,640 Speaker 1: And um we find it at the single stock level. 224 00:11:55,920 --> 00:11:59,320 Speaker 1: But what we've decided to launch is to broad based 225 00:11:59,320 --> 00:12:02,840 Speaker 1: indexes give you this night effect essentially in the large 226 00:12:02,840 --> 00:12:07,600 Speaker 1: cap in the small cap space. So how many et 227 00:12:07,800 --> 00:12:09,600 Speaker 1: s do you think you're inna launch and how long 228 00:12:09,679 --> 00:12:13,439 Speaker 1: is it this going to take? Yeah, So just to 229 00:12:13,480 --> 00:12:15,320 Speaker 1: give a sense of you know, kind of what I'm 230 00:12:15,320 --> 00:12:20,439 Speaker 1: talking about and why we launched these, Uh, we were 231 00:12:20,480 --> 00:12:23,480 Speaker 1: getting returned in the large cap space, let's say over time, 232 00:12:23,920 --> 00:12:27,480 Speaker 1: you were getting maybe the return coming in the night session, 233 00:12:28,160 --> 00:12:33,600 Speaker 1: and the volatility of that being uh maybe fifty of 234 00:12:33,679 --> 00:12:36,360 Speaker 1: buy and hold. So again nice risk of just returns. 235 00:12:36,679 --> 00:12:41,400 Speaker 1: We saw something really amazing and small caps where the 236 00:12:41,480 --> 00:12:44,199 Speaker 1: daytime return on the Russell two South over a long 237 00:12:44,240 --> 00:12:46,920 Speaker 1: period of times was either negative or just about flat. 238 00:12:47,000 --> 00:12:50,360 Speaker 1: So all of the return was coming in the night session. 239 00:12:50,559 --> 00:12:53,280 Speaker 1: So so the two that we launched so far are 240 00:12:53,400 --> 00:12:59,000 Speaker 1: the end spy, So think of a night spy. Uh, 241 00:12:59,080 --> 00:13:01,800 Speaker 1: and then that also playing on the ticker and the 242 00:13:02,440 --> 00:13:04,679 Speaker 1: heavily traded russell to E T F I, w M 243 00:13:04,880 --> 00:13:07,199 Speaker 1: D and w M. So those are the first two. 244 00:13:08,040 --> 00:13:10,920 Speaker 1: We have four more in registration and we'll see what 245 00:13:11,000 --> 00:13:14,320 Speaker 1: happens over time. But we think it's a really interesting 246 00:13:14,320 --> 00:13:16,880 Speaker 1: concept that's never been done in ets before. So have 247 00:13:17,040 --> 00:13:19,760 Speaker 1: these two E T s have you launched them? And 248 00:13:19,800 --> 00:13:23,199 Speaker 1: if so, kind of what's the interest been. Yeah, so 249 00:13:23,280 --> 00:13:26,160 Speaker 1: we launched them on JU and I'd say we're getting 250 00:13:26,160 --> 00:13:28,720 Speaker 1: a really good reception. People are very interested in the concept. 251 00:13:29,200 --> 00:13:30,839 Speaker 1: They're trying to figure out how to blend them into 252 00:13:30,880 --> 00:13:34,320 Speaker 1: their portfolios. And you know, we're just out there telling 253 00:13:34,360 --> 00:13:36,439 Speaker 1: our story in the down days of summer that we're 254 00:13:36,440 --> 00:13:39,600 Speaker 1: getting a good responsible. But do you expect to focus 255 00:13:39,679 --> 00:13:42,360 Speaker 1: on equities? I mean, I type E T F go right, 256 00:13:42,600 --> 00:13:45,559 Speaker 1: and um, I can put in night shares if I 257 00:13:45,720 --> 00:13:48,600 Speaker 1: leave it on equity. I see these, but then I'm 258 00:13:48,640 --> 00:13:51,360 Speaker 1: reminded you could be doing bonds, you could be doing commodities, 259 00:13:51,400 --> 00:13:53,400 Speaker 1: you could be Because of my experience in crypto, I 260 00:13:53,480 --> 00:13:57,199 Speaker 1: see that it's worked across asset classes. Yeah, I know 261 00:13:57,280 --> 00:14:01,280 Speaker 1: it is so now it's equities, and part of that 262 00:14:01,480 --> 00:14:04,800 Speaker 1: is just the operational complexities of actually doing this. So 263 00:14:05,559 --> 00:14:08,800 Speaker 1: you know, cryptos obviously there's no cryptos being traded in 264 00:14:08,880 --> 00:14:12,800 Speaker 1: et F format period other than the futures um you 265 00:14:12,880 --> 00:14:16,240 Speaker 1: know with UH commodities is a good example where we 266 00:14:16,360 --> 00:14:18,160 Speaker 1: have looked at it. That's something you might look at 267 00:14:19,760 --> 00:14:22,280 Speaker 1: on the bond side that you get some interesting results 268 00:14:23,560 --> 00:14:27,560 Speaker 1: on the on the high yield side, it tends to 269 00:14:27,600 --> 00:14:29,960 Speaker 1: look a little bit like equities that kind of returns. 270 00:14:30,120 --> 00:14:33,680 Speaker 1: Yet and sometimes on treasuries you get the opposite of 271 00:14:33,720 --> 00:14:35,960 Speaker 1: the night effect, which is when people are going out 272 00:14:36,000 --> 00:14:38,560 Speaker 1: of the equities to get flat at the end of 273 00:14:38,600 --> 00:14:41,960 Speaker 1: the day, um, they're going into treasuries. So so we're 274 00:14:42,000 --> 00:14:44,920 Speaker 1: looking at all that. It's really interesting. Are you looking 275 00:14:44,960 --> 00:14:47,560 Speaker 1: also at crypto Bruce, mean, do you have you know, 276 00:14:47,680 --> 00:14:51,000 Speaker 1: like SEC news alerts on your phone just in case 277 00:14:51,120 --> 00:14:57,160 Speaker 1: they do approve of crypto e t f UM Not yet, 278 00:14:57,320 --> 00:15:01,040 Speaker 1: but you know, we're we're we're just doubt there on 279 00:15:01,120 --> 00:15:03,560 Speaker 1: the equity side started we're starting down the path here, 280 00:15:03,600 --> 00:15:06,480 Speaker 1: so we will make sure to put that crypto alert 281 00:15:06,520 --> 00:15:08,440 Speaker 1: on our phone. It's it's interesting that in such a 282 00:15:09,080 --> 00:15:11,600 Speaker 1: difficult year for I p O s, you know, no 283 00:15:11,760 --> 00:15:16,320 Speaker 1: new issues and UM and for the market in general, 284 00:15:17,080 --> 00:15:22,320 Speaker 1: E t F introductions have still been pretty strong this year, 285 00:15:22,480 --> 00:15:26,120 Speaker 1: right ye have. But I think I heard a statum 286 00:15:26,120 --> 00:15:28,440 Speaker 1: about two and the sifty new funds this year, you know. 287 00:15:28,480 --> 00:15:31,560 Speaker 1: I think what you're seeing is two things. One is, 288 00:15:32,840 --> 00:15:35,440 Speaker 1: most of the innovation and asset management in my opinion, 289 00:15:35,680 --> 00:15:38,760 Speaker 1: comes through the et F structure these days. That seems 290 00:15:38,800 --> 00:15:41,560 Speaker 1: to be the preferred vehicle for most investors. The second 291 00:15:41,600 --> 00:15:44,920 Speaker 1: thing you're you're seeing is you've seen the mutual fund 292 00:15:44,960 --> 00:15:49,640 Speaker 1: industry really um embrace the E t F vehicle, and 293 00:15:49,720 --> 00:15:51,720 Speaker 1: so you've seen conversion. Then you've seen some of the 294 00:15:51,800 --> 00:15:54,360 Speaker 1: traditional folks get into the industry for the first time. 295 00:15:54,400 --> 00:15:55,920 Speaker 1: So it's driving a lot of product launch. It took 296 00:15:55,960 --> 00:15:59,880 Speaker 1: them long enough. So Bruce, you're at I Shares, Black Rocks. 297 00:16:00,000 --> 00:16:01,920 Speaker 1: Selection of e t F s give us a sense 298 00:16:01,960 --> 00:16:04,000 Speaker 1: of just how the et F space it's kind of 299 00:16:04,120 --> 00:16:07,880 Speaker 1: evolved over time, and is it a good attractive area 300 00:16:07,960 --> 00:16:10,080 Speaker 1: to look at today. It's kind of a duopoly, right 301 00:16:10,120 --> 00:16:15,040 Speaker 1: with I mean, I Shares and Vanguard are the two 302 00:16:15,200 --> 00:16:19,160 Speaker 1: biggest shops on the street. They are and they take 303 00:16:19,240 --> 00:16:21,640 Speaker 1: in you know, the lion's share of the money, and 304 00:16:21,720 --> 00:16:24,520 Speaker 1: they do it in the more traditional et f that 305 00:16:24,560 --> 00:16:26,920 Speaker 1: were launched twenty five years ago. You know, I launched 306 00:16:27,000 --> 00:16:31,080 Speaker 1: actually a number of them, and you know that if 307 00:16:31,120 --> 00:16:33,600 Speaker 1: you take some of the flows away from them, it's 308 00:16:33,640 --> 00:16:36,440 Speaker 1: still pretty large numbers. It's still a growth industry and 309 00:16:36,680 --> 00:16:39,120 Speaker 1: there's always room for innovation. You have seen some good 310 00:16:39,160 --> 00:16:43,000 Speaker 1: things happening from some of the smaller firms, and you know, 311 00:16:43,040 --> 00:16:46,160 Speaker 1: I expected to just continue to be the center of 312 00:16:46,200 --> 00:16:50,040 Speaker 1: innovation and asset management. All right, So you have an 313 00:16:50,040 --> 00:16:52,200 Speaker 1: affinity here. I'm just looking at kind of your CV. 314 00:16:52,280 --> 00:16:57,320 Speaker 1: You have affinity for Charlottesville, Virginia, University of Virginia undergrad 315 00:16:57,760 --> 00:17:00,640 Speaker 1: and then you get the NBA at the Darden School 316 00:17:00,720 --> 00:17:02,720 Speaker 1: of Business, and I was considering going there. That was 317 00:17:02,800 --> 00:17:05,040 Speaker 1: my choice between Duke and Virginia. But you know what, 318 00:17:05,200 --> 00:17:08,000 Speaker 1: the people Bruce at Darden, they just worked too hard. 319 00:17:08,840 --> 00:17:13,680 Speaker 1: You guys really worked hard at doing that case stuff, right, Yeah, 320 00:17:13,800 --> 00:17:17,000 Speaker 1: we the series Lament. The type of the law school 321 00:17:17,000 --> 00:17:18,919 Speaker 1: which was right across from us is really playing softball 322 00:17:18,960 --> 00:17:22,920 Speaker 1: while we're working on our cases. But um, now I 323 00:17:23,040 --> 00:17:26,000 Speaker 1: have a greater finishing Charlotte, Like you said, it's a 324 00:17:26,000 --> 00:17:28,200 Speaker 1: great place. You know. I was down there Matt for 325 00:17:28,320 --> 00:17:30,680 Speaker 1: my tour and they were just telling me how hard 326 00:17:30,760 --> 00:17:32,840 Speaker 1: they worked. And I was literally getting off a stretch 327 00:17:32,880 --> 00:17:35,200 Speaker 1: of like twenty seven days straight work, you know, as 328 00:17:35,240 --> 00:17:38,199 Speaker 1: an investment banking analyst, scrub analyst. And the last thing 329 00:17:38,280 --> 00:17:41,160 Speaker 1: I wanted to hear was we worked the hardest. Yeah. 330 00:17:41,200 --> 00:17:44,080 Speaker 1: So I went to Duke and had a phenomenal two years. 331 00:17:44,200 --> 00:17:46,480 Speaker 1: And so all right, Bruce, thanks so much for joining us. 332 00:17:47,000 --> 00:17:49,440 Speaker 1: Bruce Levine, CEO of Night Shairs, I didn't know this 333 00:17:49,600 --> 00:17:52,560 Speaker 1: night trading thing was a thing. Yeah, it's huge, and 334 00:17:53,240 --> 00:17:55,760 Speaker 1: um it's amazing if you look at the charts, because 335 00:17:55,840 --> 00:17:58,399 Speaker 1: you don't expect it to be as successful as it is, 336 00:17:58,960 --> 00:18:02,240 Speaker 1: and then I guess it would be laborious. Um well, 337 00:18:02,440 --> 00:18:05,000 Speaker 1: from my perspective, maybe the kids could write code for it, 338 00:18:05,119 --> 00:18:07,520 Speaker 1: but obviously in E t F just makes it easier 339 00:18:07,760 --> 00:18:14,280 Speaker 1: and keeps the cost down. Where you go to Man Deep, 340 00:18:14,400 --> 00:18:16,000 Speaker 1: because we need to get smart here on the social 341 00:18:16,080 --> 00:18:22,199 Speaker 1: media named snap down thirty, uh pinterest down twelve, Twitter 342 00:18:22,359 --> 00:18:24,720 Speaker 1: also a down, So Man Deep seeing he covers technology 343 00:18:24,760 --> 00:18:27,520 Speaker 1: for Bloomberg Intelligence. Man Deep, is this some of this 344 00:18:27,640 --> 00:18:30,320 Speaker 1: week just we're seeing some of these smaller social media names. 345 00:18:30,400 --> 00:18:32,879 Speaker 1: Is it just because they're not players and we need 346 00:18:32,920 --> 00:18:37,560 Speaker 1: to really wait for the facebooks and the Google's next week? Yes, 347 00:18:37,720 --> 00:18:41,440 Speaker 1: and uh, I think what it shows is that not 348 00:18:41,840 --> 00:18:44,720 Speaker 1: everything in ad spending is going to be cut. So 349 00:18:45,160 --> 00:18:49,080 Speaker 1: if companies are looking at their discretionary versus you know, 350 00:18:49,280 --> 00:18:55,000 Speaker 1: essential ad spend, So in the discretionary bucket, probably snap Pinterest, 351 00:18:55,320 --> 00:18:59,440 Speaker 1: the smaller social media platform sofall as opposed to the 352 00:18:59,560 --> 00:19:03,280 Speaker 1: non stationary where you Google search spend is probably the 353 00:19:03,440 --> 00:19:06,399 Speaker 1: last thing to be cut. So I think that's what 354 00:19:06,600 --> 00:19:09,119 Speaker 1: the market is hinting at. But who knows, maybe Google 355 00:19:09,280 --> 00:19:13,080 Speaker 1: disappoints as well. It's very unlikely. And you know, the 356 00:19:13,200 --> 00:19:17,840 Speaker 1: valuation multiples have compressed a lot in anticipation, so I 357 00:19:18,240 --> 00:19:21,439 Speaker 1: think even if the report an inline quarter, you are 358 00:19:21,480 --> 00:19:24,680 Speaker 1: going to see the stock will be up. So uh yeah, 359 00:19:24,840 --> 00:19:27,119 Speaker 1: I I think a lot has already priced in in 360 00:19:27,280 --> 00:19:32,200 Speaker 1: terms of weakness. Man, deep, why does um Snapchat have 361 00:19:32,440 --> 00:19:35,120 Speaker 1: the power to move the market. I mean, it's wiped out. 362 00:19:35,160 --> 00:19:39,480 Speaker 1: I think eighty billion dollars in social media market cap, 363 00:19:39,600 --> 00:19:42,920 Speaker 1: but it's not even worth eight billion dollars itself. And 364 00:19:44,040 --> 00:19:46,879 Speaker 1: I didn't even really know people still used it. I 365 00:19:46,960 --> 00:19:49,400 Speaker 1: remember back in the day the idea was college kids 366 00:19:49,480 --> 00:19:52,960 Speaker 1: could text each other and it would disappear or something. 367 00:19:53,200 --> 00:19:57,320 Speaker 1: But is it still like a big deal. Well, so 368 00:19:57,720 --> 00:20:01,280 Speaker 1: they still have around three forty and daily active users. 369 00:20:01,400 --> 00:20:04,000 Speaker 1: So when you start looking at you know a number 370 00:20:04,040 --> 00:20:07,040 Speaker 1: of platforms that have got over two hundred million daily 371 00:20:07,080 --> 00:20:10,960 Speaker 1: active users, you can it's probably you know, less intent 372 00:20:11,200 --> 00:20:14,359 Speaker 1: at this point of time. So clearly they have that 373 00:20:14,680 --> 00:20:18,159 Speaker 1: user base. Now their engagement seems to be falling, and 374 00:20:18,400 --> 00:20:21,359 Speaker 1: part of that has to do with competition from TikTok. 375 00:20:21,920 --> 00:20:26,200 Speaker 1: But at the same time, the advertisers are pulling back 376 00:20:26,960 --> 00:20:30,119 Speaker 1: because they just don't seem to get the r Y 377 00:20:30,240 --> 00:20:33,200 Speaker 1: they were getting before. And that is the big change. 378 00:20:33,240 --> 00:20:37,879 Speaker 1: Because Apple's privacy changes has really heard the r o 379 00:20:38,080 --> 00:20:41,879 Speaker 1: I on ad spending for some of these platforms, and uh, 380 00:20:42,400 --> 00:20:45,200 Speaker 1: I think that is the big change. I mean, doesn't 381 00:20:45,200 --> 00:20:48,679 Speaker 1: warrant eighty billion dollar route in terms of the market 382 00:20:48,760 --> 00:20:52,200 Speaker 1: cap of all these companies, I don't think so. But 383 00:20:52,960 --> 00:20:56,280 Speaker 1: clearly there's a lot of uncertainty around how much those 384 00:20:56,400 --> 00:20:59,800 Speaker 1: changes would affect the large companies like Alphabet and Matter. 385 00:21:00,000 --> 00:21:02,200 Speaker 1: All right, well, Snap has a market cap at of 386 00:21:02,320 --> 00:21:04,800 Speaker 1: sixteen point eight billions, a little bit bigger than that, 387 00:21:04,960 --> 00:21:08,280 Speaker 1: but nothing relative to the Facebook's and Google. So thirty seconds, 388 00:21:08,359 --> 00:21:10,000 Speaker 1: Man Deep, what's the key thing we should look for 389 00:21:10,160 --> 00:21:15,040 Speaker 1: from those big companies next week? Facebook and Google? Yeah, 390 00:21:15,119 --> 00:21:19,080 Speaker 1: direct response adds because those are the ones directly hit 391 00:21:19,240 --> 00:21:23,200 Speaker 1: by Apple's privacy changes. If Meta can show you know, 392 00:21:23,600 --> 00:21:26,520 Speaker 1: even an inline quarter, the estimates have been devised the 393 00:21:26,520 --> 00:21:29,200 Speaker 1: lower by ten percent if they report an inline quarter, 394 00:21:29,720 --> 00:21:32,480 Speaker 1: I think I thinks those stabilized. All right, Man Deep, 395 00:21:32,520 --> 00:21:35,320 Speaker 1: good stuff. As always appreciate your phone in it in 396 00:21:35,520 --> 00:21:37,680 Speaker 1: from home. But I see him here. He's here all 397 00:21:37,680 --> 00:21:39,480 Speaker 1: the time too, So he's one of those guys A feeling. 398 00:21:39,560 --> 00:21:41,760 Speaker 1: He also works very hard from home. This is you 399 00:21:41,840 --> 00:21:45,280 Speaker 1: know the debate, right, do people are they pretending to 400 00:21:45,359 --> 00:21:47,639 Speaker 1: work from home? As Elon Musk says, or as we 401 00:21:47,760 --> 00:21:51,800 Speaker 1: see from Man Deep, are they excelling They're? Deep is 402 00:21:51,840 --> 00:21:53,760 Speaker 1: a smart dude and he's a hard work He puts 403 00:21:53,760 --> 00:21:55,359 Speaker 1: out some great research. You can get it in b 404 00:21:55,680 --> 00:22:00,880 Speaker 1: I go. I'll just get right to next guy, Dan Mary, 405 00:22:00,920 --> 00:22:05,280 Speaker 1: CEO and founder of Vertex Software UM and I also 406 00:22:05,359 --> 00:22:07,160 Speaker 1: want to talk to about what's going on in great 407 00:22:07,280 --> 00:22:10,120 Speaker 1: state of Iowa. We'll get to that in a minute. Hey, Dan, 408 00:22:10,160 --> 00:22:12,120 Speaker 1: thanks so much for joining us. Tell us what Vertex 409 00:22:12,280 --> 00:22:14,520 Speaker 1: software is, what are you guys doing, and and kind 410 00:22:14,520 --> 00:22:18,080 Speaker 1: of what's your outlook? Well, hey, thanks for having me. 411 00:22:18,760 --> 00:22:22,480 Speaker 1: So we have cloud based software that helps manufacturers use 412 00:22:23,040 --> 00:22:26,520 Speaker 1: three D and sales service, factory and supply chain that 413 00:22:26,640 --> 00:22:29,560 Speaker 1: helps them increase efficiencies, lower costs, and drive revenue. That's 414 00:22:29,640 --> 00:22:32,159 Speaker 1: kind of the nutshell. It's kind of like if you 415 00:22:32,200 --> 00:22:34,920 Speaker 1: think about video games, to do games make today, you 416 00:22:34,960 --> 00:22:37,840 Speaker 1: make heavy use of three D content. Well, manufacturers have 417 00:22:37,880 --> 00:22:40,760 Speaker 1: a lot of three D content that they provide. It's 418 00:22:40,840 --> 00:22:43,320 Speaker 1: just much more complex, a lot bigger, and it has 419 00:22:43,359 --> 00:22:46,200 Speaker 1: to be more precise. So we help happen leverage that 420 00:22:46,320 --> 00:22:48,639 Speaker 1: content to get more bang for the buck out of 421 00:22:48,680 --> 00:22:52,440 Speaker 1: that investment. So is it like CAD your own version 422 00:22:52,520 --> 00:22:55,960 Speaker 1: of AutoCAD, Well, it's kind of like that, except we're 423 00:22:55,960 --> 00:22:59,040 Speaker 1: more like Netflix for CAD. So we take their CAD 424 00:22:59,160 --> 00:23:01,840 Speaker 1: data and we make it easier for them to use 425 00:23:01,920 --> 00:23:05,479 Speaker 1: it downstream of product of alopment and engineering where they 426 00:23:05,520 --> 00:23:07,399 Speaker 1: make it so they can use it and put in 427 00:23:07,480 --> 00:23:10,479 Speaker 1: the hands of a salesperson or someone on the factory 428 00:23:10,520 --> 00:23:13,720 Speaker 1: for or in the hands of their customers. That historically 429 00:23:13,760 --> 00:23:15,639 Speaker 1: has been really really hard to do, and we make 430 00:23:15,720 --> 00:23:20,040 Speaker 1: that easy and orders the magnitude more cost efficient. Dan 431 00:23:20,119 --> 00:23:22,920 Speaker 1: talks about your partnership with John Deer one of my 432 00:23:23,080 --> 00:23:26,639 Speaker 1: favorite companies out there, Mine too, Mine too. Yeah, I mean, 433 00:23:26,720 --> 00:23:29,679 Speaker 1: we're just so grateful to work with. You know, iconic 434 00:23:29,760 --> 00:23:32,880 Speaker 1: company like John dere is such innovators. So we help 435 00:23:33,000 --> 00:23:36,639 Speaker 1: them leverage three D cads like you just said, uh, 436 00:23:37,000 --> 00:23:40,200 Speaker 1: to see the state of the factory for forecasting and planning, 437 00:23:40,760 --> 00:23:43,879 Speaker 1: for visualizes and equipment of function and for service. Again, 438 00:23:43,960 --> 00:23:46,440 Speaker 1: that concept of putting three D in the palm of 439 00:23:46,480 --> 00:23:50,000 Speaker 1: people's hands on devices that they use today. Again, it's 440 00:23:50,040 --> 00:23:53,280 Speaker 1: been a horse historical challenging. So what is the state 441 00:23:53,359 --> 00:23:56,200 Speaker 1: of US manufacturing like right now, especially with the supply 442 00:23:56,359 --> 00:24:00,359 Speaker 1: chain issues? Are they getting any better? Chip short ages 443 00:24:00,600 --> 00:24:04,600 Speaker 1: really bumming me out? Um, is there an improvement that 444 00:24:04,680 --> 00:24:07,960 Speaker 1: you see with the partners you work with? Well, I 445 00:24:08,080 --> 00:24:12,040 Speaker 1: think just generally what I'm seeing is certainly right now. 446 00:24:12,040 --> 00:24:14,320 Speaker 1: I think everybody knows demand for goods as weakening. You know, 447 00:24:14,480 --> 00:24:17,879 Speaker 1: consumers are starting to spend more on service, labor, energy 448 00:24:17,960 --> 00:24:21,320 Speaker 1: costs are rising, and their supply chain bombs. As you mentioned, 449 00:24:21,680 --> 00:24:23,440 Speaker 1: so I think what I'm seeing, and I was just 450 00:24:23,520 --> 00:24:26,840 Speaker 1: actually on site of one of our customers earlier this week. 451 00:24:27,280 --> 00:24:31,840 Speaker 1: I'm just seeing this accelerating need, almost an urgency for automation, 452 00:24:32,400 --> 00:24:36,320 Speaker 1: automation and distributed collaboration across time zones. They want to 453 00:24:36,359 --> 00:24:38,720 Speaker 1: shorten a side of supply chain and be more nimble 454 00:24:38,800 --> 00:24:41,680 Speaker 1: and flexible. That's really what what I see in the 455 00:24:41,720 --> 00:24:45,680 Speaker 1: microchip shortage. The nail on the head with that is 456 00:24:46,400 --> 00:24:50,480 Speaker 1: we have customers that have equipment parked in parking lots 457 00:24:50,560 --> 00:24:53,920 Speaker 1: that they're leasing right because they don't have the parts 458 00:24:53,960 --> 00:25:00,360 Speaker 1: to complete the production to deliver the orders. So you know, man, Dan, 459 00:25:00,560 --> 00:25:03,520 Speaker 1: do I understand that? You know, I ordered a Chevy 460 00:25:03,600 --> 00:25:07,320 Speaker 1: Silverado at the beginning of the year, and it is 461 00:25:07,480 --> 00:25:10,360 Speaker 1: apparently as far as I can track, built in Mexico, 462 00:25:10,520 --> 00:25:13,640 Speaker 1: sitting in a lot waiting for I think a window 463 00:25:13,880 --> 00:25:19,160 Speaker 1: switch chip. I don't ever need to roll the windows down. 464 00:25:19,240 --> 00:25:22,000 Speaker 1: I'll take the truck now, thank you very much. Hey Dan, 465 00:25:22,640 --> 00:25:25,360 Speaker 1: you know, Matt and I are stuck here in midtown Manhattan. 466 00:25:25,440 --> 00:25:27,360 Speaker 1: We have no idea what's going on in the real world. 467 00:25:27,400 --> 00:25:29,680 Speaker 1: So we left talking the folks that are out and 468 00:25:29,720 --> 00:25:33,239 Speaker 1: about doing stuff you have a bachelor's mechanical engineering from 469 00:25:33,320 --> 00:25:37,920 Speaker 1: Iowa State University. That's an eyewa. These days, well, you know, 470 00:25:38,040 --> 00:25:40,119 Speaker 1: I think, you know, generally speaking, I think things are 471 00:25:40,119 --> 00:25:43,160 Speaker 1: pretty good in Iowa. We have a you know, state 472 00:25:43,200 --> 00:25:47,080 Speaker 1: government here that has been really uh you know, supportive 473 00:25:47,160 --> 00:25:50,639 Speaker 1: of from my world, support of the innovation. I I 474 00:25:50,720 --> 00:25:53,600 Speaker 1: am excited about what's going on in Congress right now 475 00:25:53,640 --> 00:25:57,840 Speaker 1: and support for you know, kind of diversifying uh you know, 476 00:25:58,160 --> 00:26:02,280 Speaker 1: diversity of the investments for National Science Foundation and Department Energy. 477 00:26:02,560 --> 00:26:04,400 Speaker 1: I think that's something I've heard a lot of excitement 478 00:26:04,440 --> 00:26:08,560 Speaker 1: about with his latest bill. Um just making it possible 479 00:26:08,600 --> 00:26:11,920 Speaker 1: for people in more rural states like us to tap 480 00:26:12,000 --> 00:26:14,840 Speaker 1: into you know, grant money. How's it you the farm 481 00:26:14,920 --> 00:26:18,639 Speaker 1: economy out there. We've seen big swings and commodity prices 482 00:26:18,680 --> 00:26:20,560 Speaker 1: that Mett and I like to talk about, but you 483 00:26:20,640 --> 00:26:22,760 Speaker 1: guys are actually putting the stuff in the ground and 484 00:26:22,840 --> 00:26:26,560 Speaker 1: taking it out. Yeah, you know, I gotta tell you, 485 00:26:26,600 --> 00:26:29,600 Speaker 1: I'm in Iowa, and that's not not really my area. 486 00:26:30,200 --> 00:26:31,800 Speaker 1: Got a lot of friends, and I got a lot 487 00:26:31,800 --> 00:26:33,840 Speaker 1: of friends in the act. But I grew up in 488 00:26:34,440 --> 00:26:37,480 Speaker 1: kind of science technology and was a child at the 489 00:26:37,520 --> 00:26:42,520 Speaker 1: early video game generation, Like, what what are your favorite games? 490 00:26:43,640 --> 00:26:45,919 Speaker 1: Oh gosh, geez, well, I go all the way back 491 00:26:45,920 --> 00:26:50,040 Speaker 1: to dude, I was there at the Commodore sixty four. 492 00:26:50,480 --> 00:26:55,760 Speaker 1: You know. Oh yeah, yeah, oh you that that impossibation? 493 00:26:56,760 --> 00:26:59,680 Speaker 1: Yeah yeah, all right, dad, good, good, good stuff. We 494 00:26:59,720 --> 00:27:03,400 Speaker 1: always appreciate checking in with some of these entrepreneurs out 495 00:27:03,440 --> 00:27:06,560 Speaker 1: there all over the country. Dan Murray's doing it CEO 496 00:27:06,640 --> 00:27:10,440 Speaker 1: and founder Vertex Software bringing some technology solutions to some 497 00:27:10,640 --> 00:27:13,880 Speaker 1: industrial companies. And I'm sure that's a big, big plus 498 00:27:13,960 --> 00:27:15,360 Speaker 1: for a lot of these companies when they can get 499 00:27:15,560 --> 00:27:19,119 Speaker 1: kind of really step up their tech game, and Dan 500 00:27:19,240 --> 00:27:23,560 Speaker 1: Murray does that. Appreciate it. Thanks for listening to the 501 00:27:23,560 --> 00:27:27,520 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 502 00:27:27,520 --> 00:27:31,800 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 503 00:27:31,840 --> 00:27:36,200 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three. Put 504 00:27:36,240 --> 00:27:38,840 Speaker 1: on Ball Sweeney I'm on Twitter at pt Sweeney. Before 505 00:27:38,880 --> 00:27:42,000 Speaker 1: the podcast, you can always catch us worldwide at Bloomberg Radio.