1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,279 Speaker 1: at Bloomberg dot com slash podcast. I want to get 7 00:00:21,280 --> 00:00:24,200 Speaker 1: over to Jeffrey Cleveland right now. He's a principal and 8 00:00:24,280 --> 00:00:28,120 Speaker 1: chief economist at Payden and Rival, and he's got um 9 00:00:28,160 --> 00:00:30,360 Speaker 1: some real intelligence for us on the U S JAS 10 00:00:30,440 --> 00:00:33,559 Speaker 1: market and how it relates to the FED. First, I 11 00:00:33,600 --> 00:00:37,480 Speaker 1: want to talk about the Triple Crown of open water swimming. Jeffrey, 12 00:00:37,600 --> 00:00:41,360 Speaker 1: you have completed a swim across the English Channel, the 13 00:00:41,400 --> 00:00:44,400 Speaker 1: Catalina Channel, and you've swum the entire distance around the 14 00:00:44,440 --> 00:00:50,280 Speaker 1: island of Manhattan. What compels you to join this elite club. 15 00:00:50,320 --> 00:00:53,360 Speaker 1: I think only forty people have done it well. I 16 00:00:53,360 --> 00:00:55,280 Speaker 1: think it's one of those things if you're a swimmer 17 00:00:55,280 --> 00:00:58,320 Speaker 1: in college and you're not quite as fast as you know, 18 00:00:58,400 --> 00:01:01,720 Speaker 1: say Caleb Drestle or or Michael Phelps you, you look 19 00:01:01,760 --> 00:01:03,880 Speaker 1: for stuff to do after college, and I took up 20 00:01:03,920 --> 00:01:06,240 Speaker 1: ocean swimming, did a bunch of swims in the San 21 00:01:06,280 --> 00:01:09,399 Speaker 1: Francisco Bay actually, and then you know, in the ocean 22 00:01:09,440 --> 00:01:13,360 Speaker 1: swimming community, it's really you know, it's like climbing Everest, uh, 23 00:01:13,400 --> 00:01:15,679 Speaker 1: you know, swimming across the English Channel. So that's that's 24 00:01:15,720 --> 00:01:17,760 Speaker 1: kind of something that you want to check off your 25 00:01:17,760 --> 00:01:20,920 Speaker 1: bucket list. So I once I did that, I realized 26 00:01:20,959 --> 00:01:23,000 Speaker 1: that there was any more exclusive club, which was the 27 00:01:23,000 --> 00:01:25,000 Speaker 1: Triple Crown. People have done all three of those. So 28 00:01:25,120 --> 00:01:27,000 Speaker 1: I felt like I had to swim from Catalina back 29 00:01:27,000 --> 00:01:29,520 Speaker 1: to l A and then and then around the Great 30 00:01:29,560 --> 00:01:32,680 Speaker 1: Island of Manhattan. Only forty people in the world have 31 00:01:32,760 --> 00:01:34,880 Speaker 1: done it. We're talking in the history of the world 32 00:01:34,920 --> 00:01:38,640 Speaker 1: have done this. So it's a pretty exclusive club and 33 00:01:38,920 --> 00:01:41,319 Speaker 1: very impressive. I just wanted to hit on that so 34 00:01:41,400 --> 00:01:44,320 Speaker 1: our listeners know. I mean, obviously you've done a lot 35 00:01:44,360 --> 00:01:46,960 Speaker 1: of other stuff, but that's huge. Um, all right, let's 36 00:01:46,959 --> 00:01:50,560 Speaker 1: get to the Jobs Report and the FED, because in 37 00:01:50,600 --> 00:01:54,400 Speaker 1: your view, we're still a long way from maximum unemployment. 38 00:01:54,400 --> 00:01:56,240 Speaker 1: We know this FED is focused on that and they 39 00:01:56,280 --> 00:02:02,200 Speaker 1: have an outcomes outcome based frame in place. So does 40 00:02:02,240 --> 00:02:06,400 Speaker 1: that mean, um, you don't think we're gonna see what 41 00:02:06,560 --> 00:02:13,200 Speaker 1: tapering so soon? Um, and certainly not rate hikes either. Yeah, 42 00:02:13,280 --> 00:02:15,239 Speaker 1: here's the context I would give you. This morning, we 43 00:02:15,360 --> 00:02:17,960 Speaker 1: got eight d fifty thou jobs added for June that 44 00:02:18,000 --> 00:02:21,120 Speaker 1: beat the consensus. Yet, as you know to ten, your 45 00:02:21,120 --> 00:02:23,519 Speaker 1: treasury yield are a little bit lower in fact yield 46 00:02:23,639 --> 00:02:26,920 Speaker 1: across the curve or lower today. So um, it's a 47 00:02:26,919 --> 00:02:29,000 Speaker 1: bit of a head scratcher. But I think the context 48 00:02:29,040 --> 00:02:32,200 Speaker 1: that matters is that even if we add eight hundred 49 00:02:32,200 --> 00:02:34,880 Speaker 1: and fifty thousand jobs per month going forward, we're still 50 00:02:35,000 --> 00:02:38,600 Speaker 1: a long way to anything that I would describe this 51 00:02:38,760 --> 00:02:42,160 Speaker 1: maximum employment. Probably takes another year or so to get 52 00:02:42,200 --> 00:02:46,079 Speaker 1: back to pre COVID levels on total employment. So we'll 53 00:02:46,120 --> 00:02:47,960 Speaker 1: get there. We're moving in the right direction. It's very 54 00:02:47,960 --> 00:02:50,480 Speaker 1: good news, but it's still gonna I think, fall short 55 00:02:50,520 --> 00:02:54,040 Speaker 1: in a year's time from from maximum employment. And you 56 00:02:54,080 --> 00:02:55,960 Speaker 1: know a little hints of that today, right you had 57 00:02:56,040 --> 00:02:57,880 Speaker 1: the the unemployment rate take up a little bit to 58 00:02:57,919 --> 00:03:01,040 Speaker 1: five point nine percent, so that's um, it's a bit disappointing. 59 00:03:01,080 --> 00:03:05,080 Speaker 1: And then there's no progress on labor force participation, so 60 00:03:05,280 --> 00:03:07,680 Speaker 1: it's it's possibly to get a year from now, we're 61 00:03:07,720 --> 00:03:10,920 Speaker 1: still not at maximum employment. So I think, you know, 62 00:03:11,000 --> 00:03:15,320 Speaker 1: calls for rate hike are are really really premature. That's 63 00:03:15,360 --> 00:03:18,480 Speaker 1: the biggest consideration tapering. You know, the FED is trying 64 00:03:18,600 --> 00:03:22,119 Speaker 1: very hard to separate tapering from hiking. I think they've 65 00:03:22,120 --> 00:03:24,079 Speaker 1: done a pretty good job of doing that. There's two 66 00:03:24,080 --> 00:03:27,560 Speaker 1: different decisions. We do think they will start to tapor 67 00:03:28,200 --> 00:03:31,880 Speaker 1: beginning in Q one of two, but it's it's for me, 68 00:03:32,040 --> 00:03:34,440 Speaker 1: the big question for the markets, whether it's the Bob 69 00:03:34,520 --> 00:03:37,000 Speaker 1: market or whether it's equities, is you know, when did 70 00:03:37,000 --> 00:03:39,840 Speaker 1: that first rate hike arrive a couple weeks ago? There 71 00:03:39,880 --> 00:03:42,080 Speaker 1: is some concerning it. We might arrive in two. I 72 00:03:42,160 --> 00:03:46,320 Speaker 1: think the data today tells you now that's uh at 73 00:03:46,320 --> 00:03:49,440 Speaker 1: the earliest. Well, that last f O MC meeting, Jeffrey, 74 00:03:49,520 --> 00:03:52,640 Speaker 1: there's some focus on the dot plots. Is that where 75 00:03:52,640 --> 00:03:55,120 Speaker 1: the focus should be? I don't think so. I think 76 00:03:55,120 --> 00:03:57,880 Speaker 1: the dots are distraction. You know, I've been a long 77 00:03:57,920 --> 00:04:00,960 Speaker 1: time critic of these dots. I've been saying, drop the 78 00:04:00,960 --> 00:04:05,320 Speaker 1: dot plot. It's it's you know, those figures are interesting, 79 00:04:05,400 --> 00:04:08,000 Speaker 1: but they're submitted before the meeting. They're not the topic 80 00:04:08,040 --> 00:04:11,920 Speaker 1: of conversation at the meeting, and they're not a policy outcome. 81 00:04:12,000 --> 00:04:14,960 Speaker 1: Of the meeting, and I think it provides a lot 82 00:04:15,040 --> 00:04:18,360 Speaker 1: of fodder, you know, a permanent employment clause for for 83 00:04:18,360 --> 00:04:21,039 Speaker 1: FED watchers such as myself of course, so and a 84 00:04:21,080 --> 00:04:24,760 Speaker 1: great screen on a Bloomberg terminal, which is good, exactly great, 85 00:04:24,839 --> 00:04:27,000 Speaker 1: great screen, But I don't think it tells you a 86 00:04:27,000 --> 00:04:29,520 Speaker 1: whole lot. I think if you're an investor, you shouldn't 87 00:04:29,560 --> 00:04:32,000 Speaker 1: look too much at what policymakers have in terms of 88 00:04:32,040 --> 00:04:35,000 Speaker 1: their dots for for a rate hike. Say, you should say, 89 00:04:35,120 --> 00:04:37,720 Speaker 1: when are we going to reach maximum employment? And then 90 00:04:37,760 --> 00:04:39,960 Speaker 1: you should ask, okay, at that time we read when 91 00:04:39,960 --> 00:04:43,080 Speaker 1: we reach maximum employment, are we gonna do we have 92 00:04:43,200 --> 00:04:46,600 Speaker 1: sustainable two percent inflation? Those are the two things that 93 00:04:46,640 --> 00:04:49,760 Speaker 1: will determine whether the rate hike occurs, and so our 94 00:04:49,800 --> 00:04:52,800 Speaker 1: conclusion is we won't have maximum employment before you know, 95 00:04:52,839 --> 00:04:55,400 Speaker 1: maybe the end of two or after, so that kind 96 00:04:55,440 --> 00:04:58,280 Speaker 1: of rules out a rate hike before that. Great to 97 00:04:58,320 --> 00:05:00,800 Speaker 1: get your views, Jeffrey, thanks to much for joining us. 98 00:05:01,080 --> 00:05:03,760 Speaker 1: Jeffrey Cleveland is chief economist and a principle at Payden 99 00:05:04,080 --> 00:05:07,359 Speaker 1: and Regal. Talking to us about the Job's report and 100 00:05:07,520 --> 00:05:12,400 Speaker 1: the FED. I want to bring in now Leonid Burjitsky. 101 00:05:12,520 --> 00:05:15,800 Speaker 1: He writes, for Bloomberg Opinion, and his latest story, Dark 102 00:05:15,839 --> 00:05:20,880 Speaker 1: Markets Can Be a geopolitical force, talks about um cyber 103 00:05:20,960 --> 00:05:25,839 Speaker 1: hacking and the blame game that we've all seen kind 104 00:05:25,880 --> 00:05:31,760 Speaker 1: of carefully played between Presidents Biden and Putin at their 105 00:05:31,839 --> 00:05:35,880 Speaker 1: last summit. Most recently, um, uh, there was a German 106 00:05:36,440 --> 00:05:40,640 Speaker 1: banking system hack that has been blamed, at least by 107 00:05:41,120 --> 00:05:46,159 Speaker 1: German the German press on Russian hackers, state Russian hackers. 108 00:05:46,160 --> 00:05:48,159 Speaker 1: They even say in the Builds Tongue, which is the 109 00:05:48,160 --> 00:05:51,560 Speaker 1: most widely read paper here, Leonid. I've actually been wondering 110 00:05:51,560 --> 00:05:53,640 Speaker 1: about this for a long time. Is it really fair 111 00:05:53,720 --> 00:05:59,040 Speaker 1: for us to say, um, definitively that these hack attacks 112 00:05:59,040 --> 00:06:03,159 Speaker 1: are from eight backed Russian criminals just because they are 113 00:06:03,320 --> 00:06:07,719 Speaker 1: in Russia. I mean, if we blamed every US criminal 114 00:06:07,800 --> 00:06:10,280 Speaker 1: on the US government, um, you you have a lot 115 00:06:10,320 --> 00:06:13,599 Speaker 1: of problems in Washington, d C. As well. Yeah. Well, 116 00:06:13,640 --> 00:06:17,560 Speaker 1: there's this major difference between Russia and the US. Russia 117 00:06:17,640 --> 00:06:23,560 Speaker 1: is increasingly a police state, and not many things happened 118 00:06:23,600 --> 00:06:28,440 Speaker 1: there without the government's explicit or implicit consent, especially if 119 00:06:28,480 --> 00:06:36,440 Speaker 1: they're um, you know, big projects. Uh. For example, the 120 00:06:36,480 --> 00:06:42,120 Speaker 1: column that you mentioned UM talks about Guibro hydra uh 121 00:06:42,400 --> 00:06:48,400 Speaker 1: dark marketplace for mostly drugs, but also fake papers and 122 00:06:48,440 --> 00:06:55,000 Speaker 1: stuff like that. It's a silk road. Yeah. Well again 123 00:06:55,080 --> 00:06:59,240 Speaker 1: there's a difference silk road uh to the west. As 124 00:06:59,240 --> 00:07:02,440 Speaker 1: a law hyper has been around since two thousands fifteen. 125 00:07:03,040 --> 00:07:07,680 Speaker 1: Uh and it's got an annual turnover of more than 126 00:07:07,680 --> 00:07:12,720 Speaker 1: a billion dollars in cryptocurrency, So it's a it's a 127 00:07:12,760 --> 00:07:19,440 Speaker 1: pretty noticeable project. Uh. And uh you know, it is 128 00:07:19,640 --> 00:07:22,520 Speaker 1: the place where if you want to buy drugs in Moscow, 129 00:07:22,600 --> 00:07:26,000 Speaker 1: that is where you go. Uh. So it's it's kind 130 00:07:26,000 --> 00:07:29,880 Speaker 1: of impossible to ignore. It's sort of the elephant in 131 00:07:29,960 --> 00:07:34,760 Speaker 1: the room. Uh. And the you know, things like that 132 00:07:35,040 --> 00:07:40,960 Speaker 1: cannot really operates in Russia without some sort of protection 133 00:07:41,120 --> 00:07:45,440 Speaker 1: from above. Uh. And you know that is the difference 134 00:07:45,720 --> 00:07:49,240 Speaker 1: with the US, where you can you know, build a 135 00:07:49,400 --> 00:07:57,400 Speaker 1: larger wizard project and not uh have corrupt officials protecting 136 00:07:57,520 --> 00:08:00,320 Speaker 1: or supporting it in some way. So it and I 137 00:08:00,360 --> 00:08:02,120 Speaker 1: guess that's one of the questions I think a lot 138 00:08:02,120 --> 00:08:04,360 Speaker 1: of people have is when they think about the Russian 139 00:08:05,960 --> 00:08:09,000 Speaker 1: I guess influence or role of the government in these 140 00:08:09,040 --> 00:08:12,360 Speaker 1: hacking Is it support per se or is it just 141 00:08:12,440 --> 00:08:17,960 Speaker 1: simply turning a blind eye well, turning a blind eye 142 00:08:18,120 --> 00:08:21,280 Speaker 1: is a form of support, right it is. But I 143 00:08:21,320 --> 00:08:26,320 Speaker 1: don't know if there's anything more overt Uh Well, uh, 144 00:08:26,800 --> 00:08:31,880 Speaker 1: for one thing, whoever is protecting these uh, these businesses 145 00:08:32,200 --> 00:08:37,199 Speaker 1: and the entire infrastructure, the entire ecosystem that has uh 146 00:08:37,960 --> 00:08:43,920 Speaker 1: grown up around them for money woundering, for uh, providing 147 00:08:43,960 --> 00:08:48,960 Speaker 1: worked engineers and to other you know, lots of other people. 148 00:08:49,640 --> 00:08:55,920 Speaker 1: It's a huge ecosystem. And uh, if the you know, 149 00:08:56,000 --> 00:08:59,320 Speaker 1: if somebody in the government is turning a blind eye, 150 00:09:00,240 --> 00:09:05,280 Speaker 1: that person or or those persons are highly personally interested 151 00:09:05,320 --> 00:09:08,760 Speaker 1: and probably you know, getting part of the parts of 152 00:09:08,760 --> 00:09:14,360 Speaker 1: the profits in exchange. So that is one, uh sort 153 00:09:14,400 --> 00:09:19,840 Speaker 1: of one thing that you can't really ignore. The other 154 00:09:19,880 --> 00:09:25,080 Speaker 1: one is the geopolitical angle. H If the hackers and 155 00:09:25,200 --> 00:09:31,040 Speaker 1: if these illicit operations hit the West and not Russian targets, 156 00:09:31,960 --> 00:09:37,360 Speaker 1: then basically this at least coincides with the direction of 157 00:09:37,360 --> 00:09:43,000 Speaker 1: official policy, and there's less of a reason for the government, 158 00:09:43,600 --> 00:09:46,640 Speaker 1: the Kremlin, you know, the authorities to go after them. 159 00:09:46,720 --> 00:09:51,319 Speaker 1: They're actually seen as doing something useful for the motherland. Well, 160 00:09:51,360 --> 00:09:54,280 Speaker 1: and also I don't think they could expect due process 161 00:09:54,360 --> 00:09:58,240 Speaker 1: necessarily if they were to hit Russia. Just like, Um, 162 00:09:58,240 --> 00:10:02,559 Speaker 1: you know, Chinese criminals probably shy away from hitting out 163 00:10:02,600 --> 00:10:06,280 Speaker 1: against the party. Do they have the same you know, 164 00:10:08,200 --> 00:10:12,040 Speaker 1: is there is there the same tacit support of crime 165 00:10:12,120 --> 00:10:17,320 Speaker 1: like this in China? Oh? I, Um, I wouldn't really 166 00:10:17,360 --> 00:10:22,719 Speaker 1: know about China Russians, you know where I'm from. Uh, 167 00:10:23,160 --> 00:10:26,320 Speaker 1: that's uh, that's how it kind of works there. If 168 00:10:27,720 --> 00:10:32,000 Speaker 1: the targets that are hit by criminals are also targets 169 00:10:32,000 --> 00:10:38,720 Speaker 1: that are hostile to the government, the government shouldn't really 170 00:10:38,760 --> 00:10:44,560 Speaker 1: be expected to come down hard on these criminals. So Lena, 171 00:10:44,640 --> 00:10:47,120 Speaker 1: give us a sense of what the policy of the 172 00:10:47,200 --> 00:10:51,440 Speaker 1: United States has been to this to this point and 173 00:10:51,480 --> 00:10:56,880 Speaker 1: maybe how it needs to change. Well, the US government, UM, 174 00:10:57,760 --> 00:11:00,760 Speaker 1: it's kind of it has to walk a fine line. 175 00:11:01,040 --> 00:11:05,920 Speaker 1: It can't say you know, you can't tell putting directly. Uh, 176 00:11:05,920 --> 00:11:10,079 Speaker 1: you know, someone in your entourage or you personally are 177 00:11:10,120 --> 00:11:14,800 Speaker 1: on the take and and like protecting. Uh, these are 178 00:11:14,840 --> 00:11:18,640 Speaker 1: wiggled businesses for payment. Uh you know what. The the 179 00:11:18,760 --> 00:11:21,400 Speaker 1: only thing that they can say, and they've been actually 180 00:11:21,760 --> 00:11:26,960 Speaker 1: doing it quite correctly under Biden. They've been saying, you know, 181 00:11:27,120 --> 00:11:30,880 Speaker 1: these people operate from your territory. They seem to enjoy 182 00:11:30,960 --> 00:11:33,920 Speaker 1: some kind of protection. And you know that's not a 183 00:11:33,920 --> 00:11:39,360 Speaker 1: good thing. I doubt that the US government can do 184 00:11:39,840 --> 00:11:44,040 Speaker 1: more than that in the sort of in the public space. Uh. 185 00:11:44,360 --> 00:11:48,680 Speaker 1: The other thing it can do is um, uh you know, 186 00:11:48,880 --> 00:11:57,400 Speaker 1: is fight back and step up the defenses of important infrastructure. 187 00:11:59,000 --> 00:12:01,840 Speaker 1: I wanted to ask you about something. I was going 188 00:12:01,880 --> 00:12:04,680 Speaker 1: to say completely different, Leonard, But I don't know how 189 00:12:05,400 --> 00:12:09,720 Speaker 1: far off George Orwell is from what we're seeing here. 190 00:12:10,240 --> 00:12:13,640 Speaker 1: And I ask you because you recently authored a Russian 191 00:12:13,679 --> 00:12:21,240 Speaker 1: translation of UM, the British author's masterpiece. Uh, what are 192 00:12:21,280 --> 00:12:25,320 Speaker 1: you seeing? I mean he Orwell famously UM modeled his 193 00:12:25,640 --> 00:12:31,000 Speaker 1: novel after Stalinist Russia. What are the differences between what 194 00:12:31,080 --> 00:12:38,160 Speaker 1: we see there and Putinist Russia well like or doesn't 195 00:12:38,200 --> 00:12:45,320 Speaker 1: exactly model uh Oceania UM on Stalin's Russie was sort 196 00:12:45,320 --> 00:12:50,920 Speaker 1: of your UM, you know, a combination of different autalitarian regimes. 197 00:12:50,920 --> 00:12:56,560 Speaker 1: There were elements of Nazi Germany UM and actually elements 198 00:12:56,600 --> 00:13:01,480 Speaker 1: of UM, you know, wartime influence in in the in 199 00:13:01,520 --> 00:13:08,640 Speaker 1: those descriptions UM, but U and and because it is 200 00:13:09,080 --> 00:13:15,839 Speaker 1: that way and there's no like specific model there, you 201 00:13:15,960 --> 00:13:21,480 Speaker 1: can obviously, you know, find lots of similarities with other 202 00:13:21,800 --> 00:13:28,120 Speaker 1: authoritarian governments, including the current Russian one. Obviously, the you know, 203 00:13:28,240 --> 00:13:34,560 Speaker 1: the sort of the um, the hostility towards the outside 204 00:13:34,600 --> 00:13:39,120 Speaker 1: world is very similar to what we're all described. Uh. 205 00:13:39,160 --> 00:13:43,839 Speaker 1: And the sort of siege mentality UM and the lack 206 00:13:43,920 --> 00:13:48,400 Speaker 1: of basically a lack of written rules is one other. 207 00:13:49,240 --> 00:13:57,679 Speaker 1: Um sort of certainly brother right well yeah, yeah, the 208 00:13:58,000 --> 00:14:02,920 Speaker 1: well big brother is uh sort of a guy with 209 00:14:03,040 --> 00:14:08,719 Speaker 1: many faces and uh yeah, one face. Leonardst Sky, thank 210 00:14:08,720 --> 00:14:11,760 Speaker 1: you so much for joining us. Lena is colmunist for 211 00:14:11,880 --> 00:14:17,000 Speaker 1: Bloomberg Opinion based in Berlin. Right now, I want to 212 00:14:17,040 --> 00:14:19,960 Speaker 1: talk more about work. Tom Gimble joins us. He's a 213 00:14:20,000 --> 00:14:23,600 Speaker 1: founder and CEO of the LaSalle Network. It's one of 214 00:14:23,600 --> 00:14:27,240 Speaker 1: the leading staffing and recruiting firms in the country. And 215 00:14:27,840 --> 00:14:30,600 Speaker 1: good morning to you. Thanks for joining us. Tom. Let 216 00:14:30,600 --> 00:14:34,720 Speaker 1: me first ask you about your reaction to the numbers. UM, 217 00:14:34,760 --> 00:14:37,440 Speaker 1: what do you think, eighty thou Are we gonna keep 218 00:14:37,440 --> 00:14:40,240 Speaker 1: seeing numbers like this? Yeah? I think it's great. I 219 00:14:40,240 --> 00:14:43,880 Speaker 1: think well, you know, we saw today was numbers of 220 00:14:44,000 --> 00:14:48,480 Speaker 1: recent college graduates from May entering the workforce in June 221 00:14:48,480 --> 00:14:52,560 Speaker 1: and getting hired. We still saw pandemic recovery in the 222 00:14:52,720 --> 00:14:56,960 Speaker 1: service and hospitality industry, meaning with warmer weather and restaurants opening. 223 00:14:57,160 --> 00:15:00,520 Speaker 1: But even though there's a huge shortage of labor, there's 224 00:15:00,560 --> 00:15:03,640 Speaker 1: still a lot of people finding jobs. And so you've 225 00:15:03,640 --> 00:15:06,880 Speaker 1: got those two things coming together for the numbers. And so, 226 00:15:06,960 --> 00:15:09,120 Speaker 1: you know, my feeling is even if it would have 227 00:15:09,120 --> 00:15:12,200 Speaker 1: been below estimates at six fifty or five hundred thousands, 228 00:15:12,520 --> 00:15:15,120 Speaker 1: it's still a win. Estimates are just that estimates. But 229 00:15:15,440 --> 00:15:18,360 Speaker 1: anytime we're we're adding over a half million new jobs, 230 00:15:18,360 --> 00:15:22,120 Speaker 1: it's a good thing, all right. Tom. When you talk 231 00:15:22,200 --> 00:15:25,479 Speaker 1: to your clients and they're talking about their hiring processes, 232 00:15:25,840 --> 00:15:27,800 Speaker 1: we've heard lots of stories about how a lot of 233 00:15:27,800 --> 00:15:32,080 Speaker 1: companies are unable to find workers. What do you think 234 00:15:32,200 --> 00:15:37,000 Speaker 1: are the primary reasons that that's the case. So our 235 00:15:37,120 --> 00:15:39,920 Speaker 1: firm works with venture capital BAK firms. We work with 236 00:15:40,000 --> 00:15:43,840 Speaker 1: private equity owned companies and publicly traded companies, and what 237 00:15:43,920 --> 00:15:47,760 Speaker 1: we see in the marketplace is companies are in high 238 00:15:47,800 --> 00:15:51,200 Speaker 1: demand of people, and we do all white collar positions, 239 00:15:51,240 --> 00:15:53,080 Speaker 1: even though some of our clients may also hire for 240 00:15:53,120 --> 00:15:57,320 Speaker 1: blue collar rolls and on the lower level positions. The 241 00:15:58,200 --> 00:16:01,720 Speaker 1: increased unemployment company station from the federal government is for 242 00:16:01,920 --> 00:16:06,040 Speaker 1: sure a hindrance the companies finding people. On the flip side, 243 00:16:06,080 --> 00:16:10,360 Speaker 1: we've got people that have relocated, uh due to remote 244 00:16:10,360 --> 00:16:13,560 Speaker 1: work due to the pandemic, and have left where jobs 245 00:16:13,600 --> 00:16:16,720 Speaker 1: are and have gone to other areas in warmer states, 246 00:16:16,720 --> 00:16:19,800 Speaker 1: southern areas, and it's left a lot of vacancies in 247 00:16:19,840 --> 00:16:22,520 Speaker 1: the northern part of the country. And I think once 248 00:16:22,600 --> 00:16:26,560 Speaker 1: we see the economy kind of settled down post pandemic. 249 00:16:26,600 --> 00:16:28,360 Speaker 1: I don't mean settled down like in a bad way, 250 00:16:28,640 --> 00:16:31,920 Speaker 1: but settled down that people aren't worried about the pandemic anymore, 251 00:16:32,360 --> 00:16:36,680 Speaker 1: We're going to start seeing those positions get built. Where 252 00:16:36,720 --> 00:16:41,440 Speaker 1: are you seeing um less growth than you anticipated? One 253 00:16:41,480 --> 00:16:44,480 Speaker 1: of the interesting things, Tom, which is why I ask 254 00:16:45,040 --> 00:16:48,720 Speaker 1: that we've noticed, is that a lot of industries, for example, 255 00:16:48,760 --> 00:16:53,720 Speaker 1: airlines have been able to boost production UM closer to 256 00:16:53,800 --> 00:16:58,440 Speaker 1: pre pandemic levels without boosting hiring. And I guess that's 257 00:16:58,480 --> 00:17:00,760 Speaker 1: because they have a lot of automation in place that 258 00:17:01,160 --> 00:17:03,400 Speaker 1: they brought forward. Are you seeing that in other industries 259 00:17:03,440 --> 00:17:06,560 Speaker 1: as well? Well? I don't know and not you know, 260 00:17:06,600 --> 00:17:08,520 Speaker 1: I know what the data says to an extent, but 261 00:17:08,560 --> 00:17:09,960 Speaker 1: I'm not sure if I agree with that on the 262 00:17:10,000 --> 00:17:13,480 Speaker 1: airline when the numbers aren't where they were pre feel you, Yeah, 263 00:17:13,600 --> 00:17:17,320 Speaker 1: I feel you, because they could they could just at 264 00:17:17,320 --> 00:17:21,080 Speaker 1: the higher occupancy level. Ye ye, right, so they weren't 265 00:17:21,119 --> 00:17:24,520 Speaker 1: running efficiently before, or they haven't fired as many people 266 00:17:24,640 --> 00:17:26,639 Speaker 1: and so they don't need to rehire. I know data. 267 00:17:27,040 --> 00:17:29,480 Speaker 1: I agree with Mark Twain, you know, um, I can't 268 00:17:29,520 --> 00:17:32,200 Speaker 1: remember the exact quote, but something about lies. In any case, 269 00:17:32,760 --> 00:17:36,440 Speaker 1: we do see though, technology, you know, being brought forward 270 00:17:36,520 --> 00:17:38,880 Speaker 1: to automate a lot of positions that you know used 271 00:17:38,880 --> 00:17:42,719 Speaker 1: to require humans. Yes and no, we're we're doing it. 272 00:17:42,960 --> 00:17:44,840 Speaker 1: You know, like you go to a baseball game now 273 00:17:44,920 --> 00:17:47,919 Speaker 1: and instead of having as many vendors they're having, you 274 00:17:47,960 --> 00:17:49,919 Speaker 1: can order it on your phone and food will be 275 00:17:49,960 --> 00:17:53,200 Speaker 1: delivered to you. Right, it's a technology innovation. The difference 276 00:17:53,280 --> 00:17:55,679 Speaker 1: is you're waiting three or four innings to get the 277 00:17:55,720 --> 00:17:58,680 Speaker 1: food and there still aren't as many people doing the job, 278 00:17:59,200 --> 00:18:01,000 Speaker 1: and you're not it in your food when you're one 279 00:18:01,080 --> 00:18:04,400 Speaker 1: it and you're unhappy. So we're what companies are doing 280 00:18:04,480 --> 00:18:08,600 Speaker 1: is they're using technology to compensate, but in some ways 281 00:18:08,800 --> 00:18:11,240 Speaker 1: it's not giving you the same level of service as 282 00:18:11,280 --> 00:18:15,240 Speaker 1: you get from having full unemployment full employment, So it's 283 00:18:15,240 --> 00:18:17,399 Speaker 1: a it's a band aid, it's not a cure. And 284 00:18:17,440 --> 00:18:19,960 Speaker 1: we're years away from being at the point where people 285 00:18:19,960 --> 00:18:24,080 Speaker 1: are going to accept technological advances in lieu of having 286 00:18:24,080 --> 00:18:26,959 Speaker 1: people to actually do the job. So to kind of 287 00:18:27,200 --> 00:18:29,399 Speaker 1: follow up on that, there's still i think the number 288 00:18:29,440 --> 00:18:31,840 Speaker 1: seven or eight million folks that are still out of 289 00:18:31,840 --> 00:18:35,240 Speaker 1: work relative to prior to the pandemic. What's the elok 290 00:18:35,320 --> 00:18:36,679 Speaker 1: for those folks. Do you think we're gonna get all 291 00:18:36,760 --> 00:18:39,040 Speaker 1: them back into the workforce and perhaps you know over 292 00:18:39,040 --> 00:18:42,520 Speaker 1: what time period? Well, those real questions there and number one, 293 00:18:42,640 --> 00:18:44,919 Speaker 1: do they want to be in the workforce? Number two 294 00:18:45,160 --> 00:18:47,760 Speaker 1: did they overvalue their worth when they got out of 295 00:18:47,760 --> 00:18:50,320 Speaker 1: the workforce? And number three are they ready to take 296 00:18:50,359 --> 00:18:53,439 Speaker 1: the jobs that are available versus what they want? You know, 297 00:18:53,720 --> 00:18:56,560 Speaker 1: I'm the CEO of a hundred million dollar company. If 298 00:18:56,560 --> 00:18:58,600 Speaker 1: I lost my job tomorrow and I only wanted to 299 00:18:58,600 --> 00:19:01,080 Speaker 1: be the CEO of a hundred million dollar company, there 300 00:19:01,160 --> 00:19:02,959 Speaker 1: might not be a job available for man might take 301 00:19:03,000 --> 00:19:05,200 Speaker 1: a job at a startup or at a five million 302 00:19:05,200 --> 00:19:07,959 Speaker 1: dollar company, and that might be an extreme, But if 303 00:19:08,000 --> 00:19:10,280 Speaker 1: you look at somebody who was an accountant and they 304 00:19:10,320 --> 00:19:12,560 Speaker 1: lost their job and they can't find a job as 305 00:19:12,560 --> 00:19:14,440 Speaker 1: an accountant, maybe they weren't a very good one and 306 00:19:14,440 --> 00:19:16,960 Speaker 1: they've got to go look at it. The infrastructure bill 307 00:19:17,280 --> 00:19:19,840 Speaker 1: is gonna get passed, hopefully in the third quarter, and 308 00:19:19,880 --> 00:19:23,040 Speaker 1: when that happens, there's gonna be tens of thousands, hundreds 309 00:19:23,080 --> 00:19:26,000 Speaker 1: of thousands of jobs working on infrastructure, and people are 310 00:19:26,000 --> 00:19:28,280 Speaker 1: gonna have to pivot and adjust. But the jobs are 311 00:19:28,280 --> 00:19:31,600 Speaker 1: out there for anybody who wants one. Where are you 312 00:19:31,680 --> 00:19:35,359 Speaker 1: seeing the biggest gains in terms of UH pay? I've 313 00:19:35,359 --> 00:19:38,840 Speaker 1: noticed lately that all the banks are boosting their pay 314 00:19:38,920 --> 00:19:41,840 Speaker 1: for junior analysts. Of course, not everybody can slide into 315 00:19:41,880 --> 00:19:45,600 Speaker 1: those positions that easily. But are you seeing other industries 316 00:19:45,640 --> 00:19:51,120 Speaker 1: where you know, just everyone's competing by by raising wages quickly. Yeah. 317 00:19:51,200 --> 00:19:53,359 Speaker 1: The reason you're seeing it in banks is because the 318 00:19:53,680 --> 00:19:56,439 Speaker 1: so much dry powder on the sidelines that deals are 319 00:19:56,440 --> 00:19:59,240 Speaker 1: being done, So banks need to hire as many people 320 00:19:59,280 --> 00:20:01,600 Speaker 1: as they can and to make sure that they're getting 321 00:20:01,640 --> 00:20:04,680 Speaker 1: the market while it's hot. And you know, historically they 322 00:20:04,680 --> 00:20:07,200 Speaker 1: don't have a hard time of downstizing when they need 323 00:20:07,240 --> 00:20:10,439 Speaker 1: to either. Where we're seeing growth continually needs to be 324 00:20:10,920 --> 00:20:14,000 Speaker 1: less in industry and more in skill sets. So we're 325 00:20:14,000 --> 00:20:17,400 Speaker 1: seeing a ton of back office accounting and finance professionals 326 00:20:17,720 --> 00:20:22,880 Speaker 1: at all types of companies, manufacturing technology, distribution service firms. 327 00:20:23,040 --> 00:20:25,000 Speaker 1: We're seeing a ton of sales people, which is a 328 00:20:25,040 --> 00:20:28,040 Speaker 1: great sign because that means companies are planning for longer 329 00:20:28,160 --> 00:20:30,520 Speaker 1: term growth and they want more sales people to be 330 00:20:30,560 --> 00:20:33,160 Speaker 1: able to do that for the foreseeable future. And then, 331 00:20:33,240 --> 00:20:36,360 Speaker 1: as always, we're seeing technology that the biggest and most 332 00:20:36,400 --> 00:20:40,119 Speaker 1: interesting role is human resources never took a hit during 333 00:20:40,160 --> 00:20:43,040 Speaker 1: the recession, which is a huge surprise based on the 334 00:20:43,080 --> 00:20:46,159 Speaker 1: most two recent recessions, and HR continues to be an 335 00:20:46,160 --> 00:20:49,320 Speaker 1: area that companies are hiring for and one that terrifies me. 336 00:20:50,320 --> 00:20:54,159 Speaker 1: Terrified of HR. If I see that HR on on 337 00:20:54,240 --> 00:20:57,320 Speaker 1: my office phone, I'm I'm not picking up. Tom, thanks 338 00:20:57,359 --> 00:21:00,280 Speaker 1: so much for joining us. Pleasure having you eight to 339 00:21:00,280 --> 00:21:03,040 Speaker 1: get your insight. As always, Tom Gimball, founder and CEO 340 00:21:03,400 --> 00:21:07,720 Speaker 1: of the Sound Network. Checking with Chad Obiad. He's a 341 00:21:07,720 --> 00:21:11,240 Speaker 1: director of investment management and hunting in private bank seven 342 00:21:11,359 --> 00:21:16,840 Speaker 1: billion dollars under management. Chad, when you see a disclosure part, 343 00:21:17,400 --> 00:21:19,919 Speaker 1: do I need to do any disclosure here? I don't know, 344 00:21:20,000 --> 00:21:22,840 Speaker 1: do you? It's my bank, it's your bank? There you go, 345 00:21:23,440 --> 00:21:26,040 Speaker 1: it's the Bank of Matt Millard. There should get dat 346 00:21:26,040 --> 00:21:28,879 Speaker 1: of Ohio. There should be a tagline the Bank of 347 00:21:29,119 --> 00:21:31,920 Speaker 1: Matt Miller Bloomberg Television and makes them to change it. Chad. 348 00:21:31,960 --> 00:21:34,760 Speaker 1: Let's ask them to change it, Chad. What what what 349 00:21:34,760 --> 00:21:37,120 Speaker 1: do you make of that job's number we saw this morning? 350 00:21:37,119 --> 00:21:40,119 Speaker 1: What does it mean for your economic outlook? Yeah? So 351 00:21:40,200 --> 00:21:42,960 Speaker 1: certainly seeing that many people get back to work is 352 00:21:43,000 --> 00:21:47,439 Speaker 1: good news, right, eight fifty thousand, well ahead of expectations, 353 00:21:47,600 --> 00:21:50,600 Speaker 1: really good, But there's still some mixed messaging in the data. 354 00:21:50,680 --> 00:21:53,920 Speaker 1: You saw the unemployment numbers tick up a bit. So 355 00:21:54,040 --> 00:21:56,480 Speaker 1: as we continue to look through this data, is it 356 00:21:56,720 --> 00:21:59,600 Speaker 1: enough to move the Fed? I think the general takeaway 357 00:21:59,600 --> 00:22:04,520 Speaker 1: here is probably not. But from our general thesis, we 358 00:22:04,600 --> 00:22:08,399 Speaker 1: still think the Fed starts to taper on the MBS side, 359 00:22:08,400 --> 00:22:12,480 Speaker 1: that the bond purchases part of their asset purchases later 360 00:22:12,560 --> 00:22:16,440 Speaker 1: this year. So, um, how much tapering do you think? 361 00:22:16,480 --> 00:22:19,000 Speaker 1: I mean, I don't know how out of consensus that 362 00:22:19,080 --> 00:22:22,240 Speaker 1: is at this point, Chad, it looks like, um, the 363 00:22:22,280 --> 00:22:25,640 Speaker 1: economy is certainly humming along, and lord knows mortgage backed 364 00:22:25,640 --> 00:22:28,959 Speaker 1: securities doesn't need any more support. So how much how 365 00:22:29,000 --> 00:22:32,720 Speaker 1: much tapering do you expect, well, so we think the 366 00:22:32,760 --> 00:22:34,919 Speaker 1: lion's share of the tapering would come from that NBS 367 00:22:34,960 --> 00:22:38,760 Speaker 1: side for the rest of look for the Treasury side 368 00:22:38,800 --> 00:22:42,920 Speaker 1: to start picking up early in two. We even saw 369 00:22:42,960 --> 00:22:45,399 Speaker 1: the I m F this this morning coming out and 370 00:22:45,440 --> 00:22:49,080 Speaker 1: saying that they're expecting some degree of tapering from US 371 00:22:49,160 --> 00:22:53,359 Speaker 1: FED early in that first half of two. So to 372 00:22:53,440 --> 00:22:56,080 Speaker 1: your point, I think we're in with consensus. We'll see 373 00:22:56,080 --> 00:23:00,440 Speaker 1: if any of the additional data points change our perspective 374 00:23:00,480 --> 00:23:05,120 Speaker 1: on that, and of course July as well as the 375 00:23:05,240 --> 00:23:08,640 Speaker 1: symposium in Jackson holl will definitely be on our radar 376 00:23:08,680 --> 00:23:12,320 Speaker 1: to see if the FED has any additional commentary. You know, 377 00:23:12,359 --> 00:23:14,359 Speaker 1: we did get a bit of a hawkish stance, or 378 00:23:14,359 --> 00:23:17,960 Speaker 1: at least interpretation of a hawkish stance at this last meeting. 379 00:23:18,240 --> 00:23:21,440 Speaker 1: We'll see if their commentary changes that as well. Chat 380 00:23:21,480 --> 00:23:24,359 Speaker 1: I'm looking at the again, the ten year one point 381 00:23:24,400 --> 00:23:27,240 Speaker 1: four or four percent. Where do you go? Where is 382 00:23:28,040 --> 00:23:31,640 Speaker 1: hunting in private bank going for yield these days? Yeah, 383 00:23:31,680 --> 00:23:35,320 Speaker 1: that's a challenge, particularly for our Huntington's clients that are 384 00:23:35,359 --> 00:23:38,639 Speaker 1: looking for income, and as we think about where to 385 00:23:38,720 --> 00:23:42,119 Speaker 1: generate income, the bond market is really challenging and In fact, 386 00:23:42,400 --> 00:23:46,400 Speaker 1: we've been overweight equities in the majority of our portfolios 387 00:23:46,720 --> 00:23:50,600 Speaker 1: and looking for sources of yield in the equity markets. 388 00:23:50,680 --> 00:23:53,800 Speaker 1: We've also been using things like preferreds and reads to 389 00:23:53,920 --> 00:23:59,560 Speaker 1: gain some additional yield out of our portfolios. So, uh, 390 00:23:59,640 --> 00:24:02,639 Speaker 1: well to yield are we talking about as someone as 391 00:24:02,680 --> 00:24:06,679 Speaker 1: someone to act as your portfolios right? So, so the 392 00:24:06,720 --> 00:24:10,320 Speaker 1: yield is going to be dependent on a number of variables, timeframe, 393 00:24:10,480 --> 00:24:14,000 Speaker 1: targeted allocations, those types of things. So it is client dependent. 394 00:24:14,119 --> 00:24:16,760 Speaker 1: We work very closely with our clients. We have portfolio 395 00:24:16,800 --> 00:24:20,080 Speaker 1: managers and advisors throughout our footprint looking for those specific 396 00:24:20,160 --> 00:24:25,600 Speaker 1: needs of our clients. But generally speaking, our positioning and 397 00:24:25,800 --> 00:24:28,360 Speaker 1: this is playing into some of that income theme has 398 00:24:28,400 --> 00:24:31,760 Speaker 1: been a post recessionary stance for our clients. Came into 399 00:24:31,800 --> 00:24:34,800 Speaker 1: the year with this idea of a post recessionary stance. Lately, 400 00:24:34,880 --> 00:24:37,800 Speaker 1: we've been adding to some of our inflation hedges though, 401 00:24:37,840 --> 00:24:42,120 Speaker 1: so think precious metals again, those real estate ideas. We've 402 00:24:42,160 --> 00:24:44,240 Speaker 1: been doing that on a global scale, and we've also 403 00:24:44,320 --> 00:24:48,800 Speaker 1: been adding some tips. So again post recessionary positioning, inflation 404 00:24:49,000 --> 00:24:52,920 Speaker 1: hedges starting to present themselves in our portfolio. The other 405 00:24:52,960 --> 00:24:55,080 Speaker 1: thing that we're doing, and we think it's a good 406 00:24:55,119 --> 00:24:58,800 Speaker 1: idea for investors to think about this, and you could 407 00:24:58,800 --> 00:25:01,840 Speaker 1: see this value to growth growth of value rotation going 408 00:25:01,840 --> 00:25:05,040 Speaker 1: on as well. As part of this theme, it's prudent 409 00:25:05,440 --> 00:25:08,000 Speaker 1: to think about trimming and adding to parts of your 410 00:25:08,000 --> 00:25:11,840 Speaker 1: portfolio that are performing well, maybe underperforming in this keep 411 00:25:11,920 --> 00:25:15,879 Speaker 1: that balance, keep that acknowledgment of what your overall target is, 412 00:25:16,520 --> 00:25:19,360 Speaker 1: and and think about trimming and adding throughout the rest 413 00:25:19,359 --> 00:25:21,920 Speaker 1: of this year. All right, So you know that that 414 00:25:22,200 --> 00:25:25,080 Speaker 1: brings up two questions for me, and I've got literally 415 00:25:25,160 --> 00:25:30,760 Speaker 1: hundreds of dollars with you there, so thank you. First 416 00:25:30,800 --> 00:25:32,760 Speaker 1: of all, how many other people are in my situation 417 00:25:32,840 --> 00:25:36,520 Speaker 1: who have moved to cash here? How many people are 418 00:25:36,520 --> 00:25:38,960 Speaker 1: holding dry powder? Because we hear so much about the 419 00:25:38,960 --> 00:25:41,960 Speaker 1: cash on the sidelines, there is a lot of cash 420 00:25:42,000 --> 00:25:46,280 Speaker 1: on the sidelines. And this is one of those areas 421 00:25:46,280 --> 00:25:48,440 Speaker 1: that we focus on with our clients to really talk 422 00:25:48,480 --> 00:25:51,560 Speaker 1: about what your long term goals are and it becomes 423 00:25:51,640 --> 00:25:55,280 Speaker 1: less about today's market prices to farrows market prices, but 424 00:25:55,560 --> 00:25:58,680 Speaker 1: what are you truly saving and investing four and if 425 00:25:58,760 --> 00:26:01,719 Speaker 1: it's five, ten years out, whatever the time frame might 426 00:26:01,760 --> 00:26:05,160 Speaker 1: be for your situation, we're recommending dollar cost averaging here. 427 00:26:05,280 --> 00:26:08,960 Speaker 1: We recognize that we have some things on the horizon 428 00:26:09,000 --> 00:26:11,879 Speaker 1: that may influence markets. We have an earning season with 429 00:26:11,960 --> 00:26:15,600 Speaker 1: high expectations coming, we still have fiscal policy decisions yet 430 00:26:15,640 --> 00:26:18,639 Speaker 1: to be made, we have monetary policy decisions yet to 431 00:26:18,640 --> 00:26:22,520 Speaker 1: be made, and we still have an ongoing pandemic. So 432 00:26:22,680 --> 00:26:26,280 Speaker 1: we're fans of dollar cost averaging into markets and staying 433 00:26:26,280 --> 00:26:29,920 Speaker 1: broadly diversified here. I also want to ask for a 434 00:26:29,920 --> 00:26:33,160 Speaker 1: little bit more specificity in terms of inflation hedges, because 435 00:26:33,160 --> 00:26:35,480 Speaker 1: this is something Paul and I talked about with people 436 00:26:35,560 --> 00:26:39,960 Speaker 1: a lot. Um. Are you still looking at the traditional 437 00:26:40,200 --> 00:26:44,840 Speaker 1: inflation hedges golden tips or do you see people doing 438 00:26:45,240 --> 00:26:49,720 Speaker 1: uh new and exciting things anything more complex or I mean, 439 00:26:50,040 --> 00:26:52,359 Speaker 1: I know bitcoin is too volatile to think about in 440 00:26:52,400 --> 00:26:55,280 Speaker 1: that way, but are there other uh moves that people 441 00:26:55,280 --> 00:26:59,880 Speaker 1: are making these days. So generally for our public mark, 442 00:27:00,040 --> 00:27:04,480 Speaker 1: it's we're looking at those traditional hedges, right, um, so tips, 443 00:27:04,800 --> 00:27:09,280 Speaker 1: gold real estate. We think those still have as they 444 00:27:09,480 --> 00:27:14,199 Speaker 1: historically have, have some benefit some hedge to inflation. In 445 00:27:14,240 --> 00:27:16,880 Speaker 1: the private markets, there's some things going on there where 446 00:27:16,880 --> 00:27:19,720 Speaker 1: people are maybe getting a little more exotic. But for 447 00:27:19,880 --> 00:27:24,000 Speaker 1: us at our core. We're a fiduciary manager. We're a 448 00:27:24,040 --> 00:27:27,600 Speaker 1: bank here in the Midwest, and so our approach has 449 00:27:27,640 --> 00:27:30,760 Speaker 1: been to use some of the traditional asset classes, use 450 00:27:30,840 --> 00:27:34,240 Speaker 1: the idea of asset allocation again, trimming and adding the 451 00:27:34,440 --> 00:27:39,080 Speaker 1: newer potential stores of value or hedging against inflation. Things 452 00:27:39,080 --> 00:27:42,880 Speaker 1: like cryptocurrency still not in our portfolios, although we are 453 00:27:43,480 --> 00:27:47,600 Speaker 1: continuing to evaluate those alright, Chad. Looking over on the 454 00:27:47,600 --> 00:27:50,119 Speaker 1: equity side of the ledger, there's been a little bit 455 00:27:50,119 --> 00:27:52,880 Speaker 1: of a push pull between the the folks that have favored, 456 00:27:52,880 --> 00:27:54,800 Speaker 1: you know, those growth names that have worked so well 457 00:27:54,920 --> 00:27:58,040 Speaker 1: for so many investors, the Amazons, the Apples of the world, 458 00:27:58,040 --> 00:28:01,520 Speaker 1: and those that have really, you know, embraced this I 459 00:28:01,560 --> 00:28:04,320 Speaker 1: guess uh kind of rotation trade into some of the 460 00:28:04,320 --> 00:28:07,239 Speaker 1: more cyclical sectors. How do you guys view the the 461 00:28:07,280 --> 00:28:11,639 Speaker 1: equity side, yep. So for our equity portfolios, we really 462 00:28:11,680 --> 00:28:15,480 Speaker 1: do focus a lot on staying balanced between those two disciplines. 463 00:28:15,560 --> 00:28:20,520 Speaker 1: We we don't typically make aggressive calls to overweight growth 464 00:28:20,800 --> 00:28:24,560 Speaker 1: or value. Naturally, coming in with a post recessionary trade, 465 00:28:24,600 --> 00:28:27,960 Speaker 1: we're favoring a little bit of that value space. We're 466 00:28:28,000 --> 00:28:31,800 Speaker 1: still looking at quality companies, those that are having good 467 00:28:31,880 --> 00:28:36,080 Speaker 1: quality earnings growth. So the earning season this time around 468 00:28:36,080 --> 00:28:38,360 Speaker 1: will be very important to us as well as thinking 469 00:28:38,360 --> 00:28:41,480 Speaker 1: about the comparing comparables for the rest of this year. 470 00:28:41,800 --> 00:28:44,719 Speaker 1: So growth versus value for US is a little bit 471 00:28:44,720 --> 00:28:47,560 Speaker 1: of the conversation, but it's more about the individual companies, 472 00:28:47,720 --> 00:28:52,280 Speaker 1: their ability to perform, their ability to meet expectations. And 473 00:28:52,320 --> 00:28:54,960 Speaker 1: with that said, what what we have done is we've 474 00:28:55,000 --> 00:28:58,200 Speaker 1: broadened out our equity exposures. So it's not just large 475 00:28:58,240 --> 00:29:01,200 Speaker 1: cap domestic equity that we're using. We've been using mid 476 00:29:01,360 --> 00:29:05,200 Speaker 1: and small steps as well, and more recently we saw 477 00:29:05,280 --> 00:29:08,720 Speaker 1: some value in international developed so that's an area on 478 00:29:08,720 --> 00:29:10,880 Speaker 1: the equity side that we actually have been adding to. 479 00:29:11,080 --> 00:29:14,760 Speaker 1: We think that theme of particularly Europe being a couple 480 00:29:14,800 --> 00:29:18,400 Speaker 1: of months behind the US in their response and their reopening, 481 00:29:18,840 --> 00:29:22,840 Speaker 1: we think that provides an opportunity for our clients. What 482 00:29:22,880 --> 00:29:24,280 Speaker 1: do you got going on for the fourth of July? 483 00:29:24,440 --> 00:29:28,360 Speaker 1: Chad is Ohio? Is Ohio all back and opened up? 484 00:29:28,400 --> 00:29:30,920 Speaker 1: Are you guys ready to rock and roll? There? You know? 485 00:29:31,040 --> 00:29:34,080 Speaker 1: We we are pretty much open. I think folks are 486 00:29:34,160 --> 00:29:38,239 Speaker 1: feeling really exuberant about being back to some level of 487 00:29:38,320 --> 00:29:40,920 Speaker 1: normalcy here in Ohio, and I have to tell you. 488 00:29:41,040 --> 00:29:43,960 Speaker 1: We're a baseball family. So my high school aged boys 489 00:29:44,000 --> 00:29:46,960 Speaker 1: are playing baseball all weekend and I'm looking forward to 490 00:29:47,040 --> 00:29:50,640 Speaker 1: being in a baseball field. Reds of the Tribe. We're 491 00:29:50,640 --> 00:29:54,400 Speaker 1: a tribe family. Oh God, I miss Ohio. I tell you, 492 00:29:54,440 --> 00:29:56,800 Speaker 1: paul is got to be one of the greatest states 493 00:29:56,800 --> 00:30:00,000 Speaker 1: in the nation. I'm gonna say, I'm gonna take yeah. 494 00:30:00,040 --> 00:30:03,160 Speaker 1: I mean, I feel like at least eight presidents are 495 00:30:03,200 --> 00:30:06,440 Speaker 1: from Ohio. I've had this argument before with um Brian 496 00:30:06,520 --> 00:30:10,960 Speaker 1: Sullivan at CNBC, who's from Virginia. I think Ohio has 497 00:30:11,000 --> 00:30:14,400 Speaker 1: the most presidents of any state because there's one I 498 00:30:14,400 --> 00:30:17,320 Speaker 1: can't remember who moved from Virginia to Ohio. But I 499 00:30:17,360 --> 00:30:20,160 Speaker 1: feel like if you chose Ohio as your place to die, 500 00:30:20,240 --> 00:30:23,400 Speaker 1: that's almost as good as your place of birth. Chad, 501 00:30:23,520 --> 00:30:25,360 Speaker 1: great talking to you. Thanks so much for joining us. 502 00:30:25,440 --> 00:30:28,280 Speaker 1: Chat Aviat there. He is the director of investment management 503 00:30:28,280 --> 00:30:31,760 Speaker 1: over at Huntington's Private Bank. Thanks for listening to the 504 00:30:31,760 --> 00:30:35,720 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 505 00:30:35,720 --> 00:30:40,000 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 506 00:30:40,040 --> 00:30:44,480 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three on 507 00:30:44,600 --> 00:30:47,680 Speaker 1: fal Sweeney. I'm on Twitter at pt Sweeney Before the podcast, 508 00:30:47,720 --> 00:30:50,240 Speaker 1: you can always catch us worldwide at Bloomberg Radio