1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,560 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,760 Speaker 1: at Bloomberg dot com slash podcast. Right now, I want 7 00:00:21,760 --> 00:00:23,079 Speaker 1: to get a sense. Let's talk about one of the 8 00:00:23,160 --> 00:00:26,640 Speaker 1: fastest growing areas UH in the financial markets MAT, which 9 00:00:26,680 --> 00:00:30,120 Speaker 1: is E t F's That's where the kids are playing today. 10 00:00:30,120 --> 00:00:33,800 Speaker 1: Sylvia Jablonski, chief investment officer co founder at Defiance E 11 00:00:33,920 --> 00:00:36,600 Speaker 1: t F s H. Sylvia, thanks so much for joining 12 00:00:36,680 --> 00:00:39,280 Speaker 1: us here. I would love to just get your thoughts 13 00:00:39,400 --> 00:00:43,640 Speaker 1: here um on these markets. In two you know, Matt Night, 14 00:00:43,680 --> 00:00:45,600 Speaker 1: we talked a lot about rising interest rates. We're not 15 00:00:45,640 --> 00:00:48,760 Speaker 1: sure how much and how fast. We've got a slowing economy. 16 00:00:49,040 --> 00:00:51,760 Speaker 1: We're not sure how much and how fast. But given 17 00:00:51,800 --> 00:00:55,200 Speaker 1: that backdrop, how are you thinking about these markets? Hi, 18 00:00:55,320 --> 00:00:58,280 Speaker 1: good morning and great to be here with you today. Well, 19 00:00:58,640 --> 00:01:02,400 Speaker 1: you know, I think that these markets were a little 20 00:01:02,400 --> 00:01:05,319 Speaker 1: bit of a wake up call from the way that 21 00:01:05,360 --> 00:01:09,280 Speaker 1: we had did one in terms of UM, you know, 22 00:01:09,360 --> 00:01:12,000 Speaker 1: some of the fear and panic and volatility that we've seen, 23 00:01:12,440 --> 00:01:17,560 Speaker 1: you know, following a dramatic fiscal and monetary policy UM. 24 00:01:17,600 --> 00:01:21,240 Speaker 1: You know, year of year of support in twenty one. 25 00:01:22,240 --> 00:01:25,120 Speaker 1: The markets now in two are are sort of in 26 00:01:25,120 --> 00:01:28,720 Speaker 1: a transition as some of those policies and and economies 27 00:01:28,760 --> 00:01:33,119 Speaker 1: moved towards a more normalized state. And you know what 28 00:01:33,160 --> 00:01:35,160 Speaker 1: we're trying to figure out is, you know, how does 29 00:01:35,240 --> 00:01:38,400 Speaker 1: that look? And I think that by itself would sort 30 00:01:38,400 --> 00:01:40,600 Speaker 1: of be okay, and maybe we would see you know, 31 00:01:40,640 --> 00:01:43,080 Speaker 1: sort of less a little bit less liquidly, a little 32 00:01:43,120 --> 00:01:44,880 Speaker 1: bit less free money things like that, maybe a little 33 00:01:44,880 --> 00:01:47,880 Speaker 1: pullback on high returns. But what I think to add 34 00:01:48,000 --> 00:01:52,120 Speaker 1: some some volatility and uncertainty is essentially, you know, the 35 00:01:52,200 --> 00:01:56,720 Speaker 1: supply chain disruptions UM, the upsurgeon demand for for goods 36 00:01:56,760 --> 00:01:59,480 Speaker 1: that's keeping implacent high and some of these other risks 37 00:01:59,520 --> 00:02:01,760 Speaker 1: to the market. It's and it's not just high, right, 38 00:02:01,800 --> 00:02:04,360 Speaker 1: I mean, the seven and a half percent print is 39 00:02:04,440 --> 00:02:08,959 Speaker 1: getting people to flip out UM. Jim Bullard said yesterday, 40 00:02:09,760 --> 00:02:12,520 Speaker 1: in another time, they would have caused called an emergency 41 00:02:12,560 --> 00:02:15,280 Speaker 1: meeting and really done something about it. And there are 42 00:02:15,280 --> 00:02:17,160 Speaker 1: a lot of critics out there who say, why in 43 00:02:17,280 --> 00:02:21,519 Speaker 1: the heck aren't they doing that? Um, it's the highest inflations, 44 00:02:21,560 --> 00:02:25,560 Speaker 1: Ben since I was eight, So you know, I think 45 00:02:25,600 --> 00:02:29,960 Speaker 1: I was seven. One is the last I graduated high school. 46 00:02:30,080 --> 00:02:33,239 Speaker 1: That was a fantastic year. That's awesome for you. I 47 00:02:33,400 --> 00:02:35,680 Speaker 1: was also awesome being eight, But it wasn't awesome living 48 00:02:35,680 --> 00:02:38,160 Speaker 1: with this much inflation for my parents, and it certainly 49 00:02:38,200 --> 00:02:40,720 Speaker 1: isn't for me now or a lot of especially lower 50 00:02:40,720 --> 00:02:44,800 Speaker 1: income people in this country. Um, what kind of rate 51 00:02:44,880 --> 00:02:47,839 Speaker 1: hike schedule do you see as a result? I mean, 52 00:02:48,160 --> 00:02:50,360 Speaker 1: are we going to see fifty basis points in March 53 00:02:50,520 --> 00:02:52,360 Speaker 1: or at least one of the next few meetings because 54 00:02:52,360 --> 00:02:54,959 Speaker 1: Bullard wants to see four rate hikes in the next 55 00:02:54,960 --> 00:02:58,359 Speaker 1: three meetings. You know, it's it's so hard to call, 56 00:02:58,480 --> 00:03:00,680 Speaker 1: right because you see what Bullard am out with, and 57 00:03:00,720 --> 00:03:03,160 Speaker 1: then you know sort of the response to that that 58 00:03:03,160 --> 00:03:05,360 Speaker 1: that the feed is going to wait and see and 59 00:03:05,360 --> 00:03:08,760 Speaker 1: and and you know, be reactive and reactive to what's 60 00:03:08,760 --> 00:03:11,560 Speaker 1: going on in the actual economy, and month by month, 61 00:03:11,960 --> 00:03:13,760 Speaker 1: you know, sort of take a look and and go 62 00:03:13,880 --> 00:03:16,320 Speaker 1: step by steps. So it feels like you know that 63 00:03:16,480 --> 00:03:18,680 Speaker 1: the feed wants to come in for a soft landing, 64 00:03:19,120 --> 00:03:22,040 Speaker 1: and you can see the reaction of the markets UM 65 00:03:22,080 --> 00:03:25,560 Speaker 1: to some of his comments about you know, perhaps doing 66 00:03:25,639 --> 00:03:28,040 Speaker 1: more and more quickly at higher rates and things like that. 67 00:03:28,120 --> 00:03:30,800 Speaker 1: So I just, you know, my my sense of this 68 00:03:30,919 --> 00:03:33,000 Speaker 1: is that it's going to be a slow and steady 69 00:03:33,200 --> 00:03:36,000 Speaker 1: right hike process. And I think part of that is because, yes, 70 00:03:36,040 --> 00:03:38,720 Speaker 1: inflation is at all time highs, but we still don't 71 00:03:38,760 --> 00:03:41,600 Speaker 1: know how much of this, you know, supply chain disruption 72 00:03:41,720 --> 00:03:44,880 Speaker 1: clearing out, you know, wages sort of easing out, UM 73 00:03:45,160 --> 00:03:47,680 Speaker 1: of a full sort of reopen getting back into the 74 00:03:47,680 --> 00:03:49,880 Speaker 1: market is going to pull that down where you know, 75 00:03:49,920 --> 00:03:51,640 Speaker 1: we might be at all time highs there and we 76 00:03:51,840 --> 00:03:53,640 Speaker 1: sort of keep saying that I thought that last month, 77 00:03:53,680 --> 00:03:55,160 Speaker 1: and you know here we are a little bit higher. 78 00:03:55,200 --> 00:03:58,240 Speaker 1: But I do think that we're peeking out here. UM. 79 00:03:58,520 --> 00:04:01,720 Speaker 1: So you know, I would expect it to be hopefully, 80 00:04:01,760 --> 00:04:03,880 Speaker 1: but you know, so so my you know, my guests 81 00:04:03,880 --> 00:04:06,720 Speaker 1: will be four to five on this UM and I 82 00:04:06,760 --> 00:04:10,720 Speaker 1: don't you know, see two fifty to see UM moves 83 00:04:10,760 --> 00:04:12,840 Speaker 1: in a row. But we'll well, we'll sort of see 84 00:04:12,840 --> 00:04:15,960 Speaker 1: how that turns out. Thirty seconds, Sylvia, what are the 85 00:04:16,000 --> 00:04:19,920 Speaker 1: sectors that you like the most right here, giving that backdrop, Yeah, 86 00:04:19,920 --> 00:04:23,000 Speaker 1: I really like well two things. One would be the 87 00:04:23,279 --> 00:04:26,520 Speaker 1: reopen trade right. Um, we're we're kind of exaccinated. The 88 00:04:26,560 --> 00:04:30,120 Speaker 1: numbers are getting better, so cruizes, hotels, airlines, and number two, 89 00:04:30,120 --> 00:04:32,520 Speaker 1: disruptive technology. You've got to be invested in five G 90 00:04:32,600 --> 00:04:35,400 Speaker 1: you've got to be invested in web three point oh um. 91 00:04:35,440 --> 00:04:38,159 Speaker 1: It's certainly the future, and I don't think that these 92 00:04:38,200 --> 00:04:40,839 Speaker 1: items issues right now are a huge factor on the 93 00:04:40,880 --> 00:04:43,359 Speaker 1: future growth stories there. All right, Sylvia, thank you so 94 00:04:43,440 --> 00:04:46,320 Speaker 1: much for joining us. Sylvia Jablonski, chief investment Officer, co 95 00:04:46,440 --> 00:04:55,479 Speaker 1: founder Defiance et f H. I want to talk about NBC. 96 00:04:55,640 --> 00:04:57,679 Speaker 1: Boy are they busy. They got a super Bowl, Matt, 97 00:04:57,920 --> 00:05:00,560 Speaker 1: they got the Olympics, they got Mike Treko back and 98 00:05:00,600 --> 00:05:03,320 Speaker 1: forth between the Olympics and the super Bowl. You know 99 00:05:03,360 --> 00:05:07,440 Speaker 1: who follows all that media stuff? You or Bloomberg News? 100 00:05:07,520 --> 00:05:08,920 Speaker 1: Yeah I did, I did it back in the day. 101 00:05:08,960 --> 00:05:11,680 Speaker 1: But Jerry Smith follows it for Bloomberg News. And we've 102 00:05:11,680 --> 00:05:14,839 Speaker 1: got Jerry Smith here right now. Jerry, is it a 103 00:05:14,839 --> 00:05:18,800 Speaker 1: good time to be NBC right now? It's definitely a 104 00:05:18,839 --> 00:05:21,760 Speaker 1: busy time to be working at NBC. Um. Yeah, they 105 00:05:21,760 --> 00:05:25,320 Speaker 1: have the Super Bowl on Sunday night, and their Olympics coverage, 106 00:05:25,839 --> 00:05:30,200 Speaker 1: uh started late last week. So they've got a lot 107 00:05:30,240 --> 00:05:34,240 Speaker 1: of employees in Beijing, a lot of employees in Los Angeles, 108 00:05:34,960 --> 00:05:37,760 Speaker 1: which is already complicated, and then you're talking about doing 109 00:05:37,760 --> 00:05:41,000 Speaker 1: all this in the middle of a pandemic. So it's um, 110 00:05:41,000 --> 00:05:43,960 Speaker 1: it's a busy time to be at NBC right now. Well. 111 00:05:44,000 --> 00:05:48,320 Speaker 1: And are other people besides Paul watching the Olympics? I 112 00:05:48,320 --> 00:05:51,400 Speaker 1: mean I barely know they're going on, although I have 113 00:05:51,560 --> 00:05:53,520 Speaker 1: to say that I also go to bed at six 114 00:05:53,600 --> 00:05:58,599 Speaker 1: pm every night. Um is it as popular as? Um? 115 00:05:58,720 --> 00:06:03,600 Speaker 1: NBC what have hoped when they were bidding for it. 116 00:06:03,600 --> 00:06:06,240 Speaker 1: It's certainly not what they hoped. The ratings so far 117 00:06:06,800 --> 00:06:10,640 Speaker 1: for the Olympics are down almost from the Winter Games 118 00:06:10,640 --> 00:06:14,440 Speaker 1: four years ago. UM. Well, not a lot of reasons 119 00:06:14,480 --> 00:06:17,120 Speaker 1: for that. I mean, just in the last four years, 120 00:06:17,120 --> 00:06:18,840 Speaker 1: a lot of people have cut the cord and are 121 00:06:18,839 --> 00:06:22,000 Speaker 1: watching a lot less TV than they used to. Um. 122 00:06:22,040 --> 00:06:24,720 Speaker 1: There's also just a lot of challenges NBC face with 123 00:06:24,800 --> 00:06:29,120 Speaker 1: these games. The the controversy over China and their human 124 00:06:29,200 --> 00:06:33,360 Speaker 1: rights record, A thirteen hour time difference between the East 125 00:06:33,400 --> 00:06:35,880 Speaker 1: Coast and Beijing, so a lot of these events are 126 00:06:35,920 --> 00:06:38,800 Speaker 1: happening while people are asleep. Um, you know, there's a 127 00:06:38,839 --> 00:06:41,960 Speaker 1: potential fatigue factor. We just had a Summer Games. They're 128 00:06:42,000 --> 00:06:44,920 Speaker 1: normally spaced out two years between summer winter. This time, 129 00:06:45,160 --> 00:06:47,360 Speaker 1: there's just six months between the Summer Olympics and the 130 00:06:47,400 --> 00:06:50,400 Speaker 1: Winter Olympics. So you know, there's a lot of different 131 00:06:50,440 --> 00:06:53,359 Speaker 1: reasons why the ratings might be down. Jerry Is the 132 00:06:53,440 --> 00:06:57,760 Speaker 1: NBC even making the argument that, oh, they're not capturing 133 00:06:57,800 --> 00:07:00,760 Speaker 1: all our digital viewership. Is that are you trying to 134 00:07:00,800 --> 00:07:04,640 Speaker 1: be made? Yeah? I mean NBC is is actually trying 135 00:07:04,880 --> 00:07:07,200 Speaker 1: to Uh. They've been on this campaign for a while 136 00:07:07,240 --> 00:07:10,320 Speaker 1: now where they're trying to replace uh Nielsen, which is 137 00:07:10,400 --> 00:07:14,240 Speaker 1: the industry standard for ad deals. They feel like Nielsen 138 00:07:14,320 --> 00:07:17,960 Speaker 1: isn't capturing all the viewers on outside of the TV landscape. 139 00:07:18,240 --> 00:07:21,040 Speaker 1: They've been promoting data from a company called i Spot TV, 140 00:07:21,320 --> 00:07:24,400 Speaker 1: which does its own sort of measurement. Um. I mean 141 00:07:24,440 --> 00:07:27,400 Speaker 1: that's been the challenge for NBC is just trying to 142 00:07:27,480 --> 00:07:30,040 Speaker 1: get the Olympics in front of people who are not 143 00:07:30,080 --> 00:07:33,920 Speaker 1: watching TV anymore. So they've struck deals with TikTok um, 144 00:07:33,960 --> 00:07:38,200 Speaker 1: you know, Snapchat, Twitter, They have pe streaming service where 145 00:07:38,560 --> 00:07:41,640 Speaker 1: for four nine a month, you can watch every Olympics 146 00:07:41,680 --> 00:07:44,920 Speaker 1: event for the first time. So, Jerry, there's concept in 147 00:07:44,920 --> 00:07:47,360 Speaker 1: the TV world of make goods, which is, boy, if 148 00:07:47,400 --> 00:07:49,760 Speaker 1: your audience comes in way below what you told me 149 00:07:49,800 --> 00:07:51,160 Speaker 1: it was going to be, you gotta give me some 150 00:07:51,200 --> 00:07:54,600 Speaker 1: more ads. Is that something that NBC is talking about 151 00:07:54,600 --> 00:07:57,960 Speaker 1: here for the Olympics, right? I mean the I've been 152 00:07:57,960 --> 00:08:01,880 Speaker 1: talking to NBC executives, an average rising executives, and no 153 00:08:01,920 --> 00:08:04,720 Speaker 1: one is surprised that the ratings are down. In fact, 154 00:08:04,840 --> 00:08:10,800 Speaker 1: NBC lowered um it's expectations with advertisers, um you know, 155 00:08:10,840 --> 00:08:15,000 Speaker 1: by about before the games began. So ultimately, you know, 156 00:08:15,080 --> 00:08:18,120 Speaker 1: and when you lower your your expectations for your audience, 157 00:08:18,160 --> 00:08:21,200 Speaker 1: you also lowered pride. So NBC was charging a lot 158 00:08:21,280 --> 00:08:23,360 Speaker 1: less for these ads, and they did four years ago. 159 00:08:23,960 --> 00:08:25,840 Speaker 1: And the hope is is that they can make up 160 00:08:25,880 --> 00:08:29,480 Speaker 1: for those lower prices with a lot more ad inventory. 161 00:08:29,600 --> 00:08:31,640 Speaker 1: I mean, if you think about all the different platforms 162 00:08:31,640 --> 00:08:33,839 Speaker 1: that the Olympics are on, now, that's a lot more 163 00:08:33,880 --> 00:08:37,560 Speaker 1: ad inventory that NBC can sell. All right, interesting, We'll 164 00:08:37,600 --> 00:08:39,559 Speaker 1: continue to pay attention to that. Plus we got a 165 00:08:39,600 --> 00:08:42,600 Speaker 1: Super Bowl, maybe they can make it up there. This Sunday, 166 00:08:42,640 --> 00:08:46,240 Speaker 1: because this is likely to be maybe the highest rated 167 00:08:46,360 --> 00:08:48,920 Speaker 1: super Bowl in a long everyone's gonna bet, I know, 168 00:08:49,000 --> 00:08:51,360 Speaker 1: everybody's bet. Everybody's got some schedrol on this thing. So 169 00:08:51,400 --> 00:08:56,520 Speaker 1: we'll see. All right, Let's check in with our next guest, 170 00:08:56,600 --> 00:09:00,480 Speaker 1: Dave Ellison, portfolio manager at the Hennessy Large in small 171 00:09:00,520 --> 00:09:04,240 Speaker 1: cat financial funds. Dave, how are financials going to perform? 172 00:09:04,280 --> 00:09:06,679 Speaker 1: And what is a rising interest rate environment? How do 173 00:09:06,720 --> 00:09:10,920 Speaker 1: you think about that? You know, I, you know, I 174 00:09:10,920 --> 00:09:14,719 Speaker 1: think generally the market has been you know, in lockstep, 175 00:09:14,800 --> 00:09:17,600 Speaker 1: meaning that rates go up, financials go up, and vice versa. 176 00:09:17,600 --> 00:09:20,160 Speaker 1: And that's been kind of a a theme that's been 177 00:09:20,200 --> 00:09:23,280 Speaker 1: playing out for you know, a year or so now, 178 00:09:23,960 --> 00:09:27,520 Speaker 1: and I'm not sure if that continues, depending what happens 179 00:09:27,559 --> 00:09:31,320 Speaker 1: to the yield curve. But I think generally the banks 180 00:09:31,760 --> 00:09:35,880 Speaker 1: in particular are you know, they've got good earnings visibility, 181 00:09:35,960 --> 00:09:40,719 Speaker 1: the valuations aren't crazy relative to history, and I think 182 00:09:40,760 --> 00:09:43,800 Speaker 1: they're becoming kind of a safe haven in a market 183 00:09:43,880 --> 00:09:46,440 Speaker 1: where you know, it seems like daily there's blow ups, 184 00:09:46,600 --> 00:09:49,000 Speaker 1: you know, not necessarily all in financial stocks, but across 185 00:09:49,040 --> 00:09:52,839 Speaker 1: the board. So I generally think we are in a 186 00:09:52,880 --> 00:09:56,840 Speaker 1: significant correction in the market, a significant downturn in the market. 187 00:09:56,880 --> 00:10:00,760 Speaker 1: It's not showing up in the indexes, but boy, there 188 00:10:00,800 --> 00:10:05,040 Speaker 1: are stocks that have just gotten absolutely hammered. I look 189 00:10:05,080 --> 00:10:08,760 Speaker 1: at Bank America's up ten percent this year, and I 190 00:10:08,800 --> 00:10:12,000 Speaker 1: look at, for example, of Firm Holdings, which is a 191 00:10:12,640 --> 00:10:16,079 Speaker 1: by Now paid later, a finance company that's down about 192 00:10:16,160 --> 00:10:22,160 Speaker 1: almost fifty this year. So there are significant things happening 193 00:10:22,160 --> 00:10:25,120 Speaker 1: in the market, and I think the problem is valuation, 194 00:10:25,160 --> 00:10:28,720 Speaker 1: and the problem is delivering on their you know, on 195 00:10:28,840 --> 00:10:31,240 Speaker 1: what they told people they were going to do, meaning 196 00:10:31,240 --> 00:10:34,200 Speaker 1: the business models aren't working and the stocks are just 197 00:10:34,240 --> 00:10:38,880 Speaker 1: getting absolutely hammered. But you're not saying, oh, now a 198 00:10:39,000 --> 00:10:40,920 Speaker 1: firm has a better evaluation, I want to go in 199 00:10:40,960 --> 00:10:43,880 Speaker 1: and buy that by now pay lead business. Well in 200 00:10:43,880 --> 00:10:46,560 Speaker 1: that in that specific case, I'm just picking out the 201 00:10:46,600 --> 00:10:50,800 Speaker 1: fact that there's significant negative performance happening in the market 202 00:10:50,840 --> 00:10:53,040 Speaker 1: despite the index. Is what is the sm T flat 203 00:10:53,120 --> 00:10:57,280 Speaker 1: this year? This week? I I think so, I think 204 00:10:57,280 --> 00:11:01,000 Speaker 1: my math is kind of correct, maybe not, And yet 205 00:11:01,040 --> 00:11:05,320 Speaker 1: you've had these massive draw downs in these companies. You know, 206 00:11:05,559 --> 00:11:08,720 Speaker 1: you just mentioned Goodyear Tire leading up into this into 207 00:11:08,760 --> 00:11:12,840 Speaker 1: my segment here that's down. I mean, in my days 208 00:11:12,840 --> 00:11:15,719 Speaker 1: of fidelity, you had a stock down, it wrecked your 209 00:11:15,760 --> 00:11:18,520 Speaker 1: performance if it was a big position in the fun 210 00:11:18,559 --> 00:11:21,720 Speaker 1: and it would destroy your performance for the year. So 211 00:11:21,720 --> 00:11:27,240 Speaker 1: so you were having in massive, you know, performance destructive 212 00:11:27,360 --> 00:11:30,920 Speaker 1: stocks in these portfolios that are not showing up in 213 00:11:30,960 --> 00:11:33,800 Speaker 1: the indexes. So that this is a we are in 214 00:11:33,880 --> 00:11:37,520 Speaker 1: a significant correction in the market. Well, you mentioned that, 215 00:11:37,559 --> 00:11:39,480 Speaker 1: you mentioned the yield curve. I mean yesterday we saw 216 00:11:39,480 --> 00:11:42,800 Speaker 1: the two year yield rise twenty five basis points in 217 00:11:42,840 --> 00:11:47,640 Speaker 1: one session. I mean that right. Well, I think that 218 00:11:47,760 --> 00:11:50,240 Speaker 1: the problem is, you know, the Fed governors talk too much, 219 00:11:51,000 --> 00:11:53,280 Speaker 1: and they need to shut up and not talk as much. 220 00:11:53,600 --> 00:11:55,640 Speaker 1: It creates these problems in the market. The market is 221 00:11:55,640 --> 00:11:57,240 Speaker 1: going to go there anyway. It was going to go 222 00:11:57,320 --> 00:11:59,640 Speaker 1: there anyway, meaning that I don't know it was going 223 00:11:59,679 --> 00:12:01,440 Speaker 1: to go or that day. But if we do have 224 00:12:01,480 --> 00:12:05,800 Speaker 1: a persistent inflation problem, we need to get rates more normalized. 225 00:12:05,960 --> 00:12:09,880 Speaker 1: I don't think raising rates is gonna impact inflation that much, 226 00:12:10,679 --> 00:12:12,720 Speaker 1: at least in the near term, because there are other 227 00:12:12,800 --> 00:12:17,600 Speaker 1: issues impacting it. And the question, whether you know, discussion 228 00:12:17,640 --> 00:12:20,040 Speaker 1: on inflation is a big one. The question is my 229 00:12:20,120 --> 00:12:24,079 Speaker 1: view is that companies seem to be raising prices because 230 00:12:24,120 --> 00:12:27,880 Speaker 1: they can politically get away with it and socially get 231 00:12:27,880 --> 00:12:30,559 Speaker 1: away with it. And they're going to do that as 232 00:12:30,559 --> 00:12:34,000 Speaker 1: long as they can. And you have examples like Tyson 233 00:12:34,080 --> 00:12:37,520 Speaker 1: Foods this week where you know, they raise prices across 234 00:12:37,559 --> 00:12:41,079 Speaker 1: the board and the stock is up. So every CEO 235 00:12:41,280 --> 00:12:44,200 Speaker 1: sees that and says, okay, I can raise prices, it 236 00:12:44,240 --> 00:12:47,320 Speaker 1: will help my stock price. I mean twenty years ago 237 00:12:47,400 --> 00:12:50,680 Speaker 1: it was basically move all your production to China and 238 00:12:50,720 --> 00:12:54,160 Speaker 1: the stock went up. So everybody went to China, got 239 00:12:54,200 --> 00:12:56,920 Speaker 1: the cheap labor, expanded their margins, and their stock went 240 00:12:57,040 --> 00:12:59,560 Speaker 1: went up. And now if we're in a trap now, 241 00:12:59,640 --> 00:13:02,320 Speaker 1: where are going to raise prices to hang onto margins, 242 00:13:02,960 --> 00:13:06,520 Speaker 1: You're gonna have persistent inflation despite what the FED does 243 00:13:06,520 --> 00:13:09,360 Speaker 1: on rates. Hey, Dave, thanks so much for joining us. 244 00:13:09,679 --> 00:13:14,400 Speaker 1: Appreciate getting your thoughts as always. Dave Ellison, portfolio manager, 245 00:13:14,400 --> 00:13:18,560 Speaker 1: Hennessey Large and small cap financial funds. They're joining us 246 00:13:22,120 --> 00:13:25,640 Speaker 1: all right. During this pandemic, more and more people working 247 00:13:25,679 --> 00:13:29,640 Speaker 1: from home, more and more people learning from home. That 248 00:13:29,679 --> 00:13:32,320 Speaker 1: means more and more data goes up into the cloud. 249 00:13:32,320 --> 00:13:36,000 Speaker 1: That parent raises data security issues. Um, let's get to 250 00:13:36,000 --> 00:13:38,480 Speaker 1: the bottom of that. Get some more details. Sanse Merchant Donnie. 251 00:13:38,520 --> 00:13:41,600 Speaker 1: He's the CEO of Common Vault. Common Vault is a 252 00:13:41,679 --> 00:13:46,119 Speaker 1: public and traded stock UM under on the NASTACS. Cv 253 00:13:46,559 --> 00:13:49,559 Speaker 1: lt is the symbol for you, Sance, I think so 254 00:13:49,640 --> 00:13:53,920 Speaker 1: much for joining us here. Are we seeing more security issues? 255 00:13:54,040 --> 00:13:57,760 Speaker 1: Data issues again as more and more people do they're 256 00:13:58,080 --> 00:14:04,439 Speaker 1: computing from remote areas now during this pandemic. Sure, hey 257 00:14:04,480 --> 00:14:09,280 Speaker 1: you good to be there. The company's compolled cb lt UM. 258 00:14:09,920 --> 00:14:13,959 Speaker 1: You know, is your question is is data more at risk? Well, 259 00:14:14,120 --> 00:14:17,560 Speaker 1: data has never been more valuable, and I would say 260 00:14:17,880 --> 00:14:21,680 Speaker 1: when more vulnerable because to your point, it's being created, 261 00:14:21,800 --> 00:14:24,440 Speaker 1: you know, from remote work. Data is being used in 262 00:14:24,520 --> 00:14:28,240 Speaker 1: new use cases for you know, data lakes, data warehouses, analytics, 263 00:14:28,760 --> 00:14:31,960 Speaker 1: customer service and so data is in flight. There's a 264 00:14:32,000 --> 00:14:34,920 Speaker 1: lot more data being created, and yes there's a lot 265 00:14:35,000 --> 00:14:37,840 Speaker 1: more happening around that data. You know, if you've seen 266 00:14:38,240 --> 00:14:42,040 Speaker 1: an incredible increase in cyber threat cyber attax on that 267 00:14:42,160 --> 00:14:46,480 Speaker 1: data UM over the past few years, but really around 268 00:14:46,480 --> 00:14:50,080 Speaker 1: the pandemic where companies had to pivot, you know, into 269 00:14:50,120 --> 00:14:52,640 Speaker 1: a whole new way of working and UM and we're 270 00:14:52,640 --> 00:14:55,720 Speaker 1: exposed to we help customers every day literally every day 271 00:14:56,000 --> 00:14:58,960 Speaker 1: and the customers and I wonder if it just gets 272 00:14:59,160 --> 00:15:02,000 Speaker 1: harder and harder. It's an uphill battle, by the way, 273 00:15:02,480 --> 00:15:07,560 Speaker 1: to repeat for viewers, it's Convolt not Common Vault Systems, 274 00:15:07,600 --> 00:15:12,600 Speaker 1: Paul has Paul has an issue speech issue. Yes, com 275 00:15:12,680 --> 00:15:16,680 Speaker 1: Vault systems um of course. And you know, as we 276 00:15:16,880 --> 00:15:22,280 Speaker 1: create and produce more and more data, I mean, we're 277 00:15:22,320 --> 00:15:26,840 Speaker 1: expecting exponential climbs, right, So how much more difficult does 278 00:15:26,840 --> 00:15:30,640 Speaker 1: this fight get? It gets? You know, it is it 279 00:15:30,800 --> 00:15:33,480 Speaker 1: is why convolts And you know during the data we 280 00:15:33,760 --> 00:15:38,080 Speaker 1: think we're in the data protection, data management, uh sort 281 00:15:38,080 --> 00:15:41,080 Speaker 1: of space. We've seen a real tail willing enough business 282 00:15:41,080 --> 00:15:43,680 Speaker 1: over the past couple of years because all of a sudden, 283 00:15:44,560 --> 00:15:48,240 Speaker 1: um companies boards. It's at you know, see you on 284 00:15:48,280 --> 00:15:53,400 Speaker 1: board levels. They're making decisions around having a uniform platform 285 00:15:53,480 --> 00:15:55,840 Speaker 1: to manage all the data assets. And data assets for 286 00:15:55,960 --> 00:15:59,200 Speaker 1: most companies have come over, you know, over generations literally, 287 00:15:59,240 --> 00:16:02,160 Speaker 1: so you're running you have you have business applications of 288 00:16:02,240 --> 00:16:04,600 Speaker 1: well built decades ago. They're still running businesses and you 289 00:16:04,640 --> 00:16:07,120 Speaker 1: have to protect those as well as as well as 290 00:16:07,160 --> 00:16:10,320 Speaker 1: the new workloads in the cloud, the cloud native workloads, 291 00:16:10,440 --> 00:16:12,440 Speaker 1: and and that's where we commit. Just as an example, 292 00:16:12,640 --> 00:16:15,640 Speaker 1: in in just in the past three years, we have 293 00:16:15,800 --> 00:16:19,040 Speaker 1: moved forward two and a half exabytes of data for 294 00:16:19,200 --> 00:16:22,200 Speaker 1: customers into the public cloud. And that is that has 295 00:16:22,240 --> 00:16:24,760 Speaker 1: literally grown five times in the past three years. So 296 00:16:24,840 --> 00:16:27,320 Speaker 1: you can see the pace at which customers are embracing 297 00:16:27,360 --> 00:16:31,040 Speaker 1: public cloud services, public cloud capabilities, and that brings about 298 00:16:31,080 --> 00:16:34,760 Speaker 1: a whole new way of thinking about protecting the data. Santa, 299 00:16:34,840 --> 00:16:38,320 Speaker 1: what you know, I think about you know, data security, cybersecurity, 300 00:16:38,360 --> 00:16:40,760 Speaker 1: and you know, oftentimes we hear from you know, big large, 301 00:16:40,920 --> 00:16:44,720 Speaker 1: publicly traded corporations SMP companies. How about some of the 302 00:16:44,760 --> 00:16:49,160 Speaker 1: small to mid size companies, how are they equipped to 303 00:16:49,240 --> 00:16:54,160 Speaker 1: kind of secure their data, to secure their networks. It's 304 00:16:54,240 --> 00:16:56,600 Speaker 1: it's a it's a it's a very important question. It's 305 00:16:56,600 --> 00:16:59,880 Speaker 1: a reality because today no one's in you. No company, 306 00:17:00,120 --> 00:17:03,640 Speaker 1: regardless of side, is immune to decide with threats. It 307 00:17:03,680 --> 00:17:06,720 Speaker 1: doesn't matter what side you are, um what they wanted 308 00:17:06,760 --> 00:17:08,040 Speaker 1: to data, what they want us to be able to 309 00:17:08,080 --> 00:17:11,520 Speaker 1: hold you for ransom? And and what's happening is we, 310 00:17:11,800 --> 00:17:14,160 Speaker 1: you know, the expectations become that you know, a small 311 00:17:14,200 --> 00:17:17,119 Speaker 1: accounting firm with let's say fifty people have to have 312 00:17:17,160 --> 00:17:21,200 Speaker 1: the same defenses as a pentagon to protect their customer information, 313 00:17:21,240 --> 00:17:24,399 Speaker 1: the client information. It's hard, it's super hard. And so 314 00:17:24,440 --> 00:17:26,639 Speaker 1: what we're doing is and and then there's another you know, 315 00:17:26,960 --> 00:17:29,240 Speaker 1: with with ransomware, which is which is the latest sort 316 00:17:29,240 --> 00:17:33,040 Speaker 1: of threat vector. What's happening is that traditional NT organizations 317 00:17:33,680 --> 00:17:37,240 Speaker 1: um find themselves you know, the crosscreas of of of 318 00:17:37,480 --> 00:17:39,920 Speaker 1: sort of what I call, you know, I ke collision, 319 00:17:39,960 --> 00:17:42,000 Speaker 1: which is is it a security problem or is it 320 00:17:42,040 --> 00:17:44,720 Speaker 1: an infrastructure problem? Who you know, who owns the backup? 321 00:17:44,840 --> 00:17:46,760 Speaker 1: Is that the best way to go about it? And 322 00:17:46,760 --> 00:17:49,080 Speaker 1: and so this, this whole thing is causing companies small 323 00:17:49,119 --> 00:17:52,720 Speaker 1: and big to rethink data protection, which is why we've 324 00:17:53,200 --> 00:17:56,479 Speaker 1: you know, we've been hard at work creating super super 325 00:17:56,520 --> 00:17:59,600 Speaker 1: easy to use um stas based solutions. As an example, 326 00:17:59,760 --> 00:18:02,159 Speaker 1: we've all the metallic because of the customers getting access 327 00:18:02,160 --> 00:18:04,920 Speaker 1: to the world class capabilities to protect themselves. That's that's 328 00:18:04,960 --> 00:18:08,360 Speaker 1: that's been our you know, our direction. So what kind 329 00:18:08,359 --> 00:18:12,240 Speaker 1: of growth do you expect? You know, we we we 330 00:18:12,359 --> 00:18:16,000 Speaker 1: just announced to three results. Uh and you know we 331 00:18:16,000 --> 00:18:19,119 Speaker 1: we it was a record sitting quarter for us. We 332 00:18:19,400 --> 00:18:21,720 Speaker 1: you know, we exceeded over twelve two hundred million dollars 333 00:18:21,720 --> 00:18:23,800 Speaker 1: in quality total revenue for the first time of the company, 334 00:18:23,840 --> 00:18:27,840 Speaker 1: so it was quite a quite a threshold. UM. You know, 335 00:18:27,880 --> 00:18:30,400 Speaker 1: we we we we we continue to see growth. We've 336 00:18:30,440 --> 00:18:33,800 Speaker 1: had UM, you know, really good results over the past 337 00:18:33,840 --> 00:18:36,879 Speaker 1: couple of years, are new products which we sort of 338 00:18:36,920 --> 00:18:39,439 Speaker 1: capture under the subscription and SASS A r r OUR 339 00:18:39,520 --> 00:18:42,400 Speaker 1: SASS products and our subscription oriented products sort of group 340 00:18:42,400 --> 00:18:45,280 Speaker 1: forty year on year and more than half of our 341 00:18:45,920 --> 00:18:49,080 Speaker 1: UM total A R R M and recurring revenue. So 342 00:18:49,200 --> 00:18:51,359 Speaker 1: you know, we're we're seeing great motion and there's no 343 00:18:51,400 --> 00:18:54,040 Speaker 1: reason to believe that it would still down. Sanj. Thanks 344 00:18:54,080 --> 00:18:56,760 Speaker 1: so much for joining us. Really appreciate your time, san J. 345 00:18:56,960 --> 00:19:00,679 Speaker 1: Virgin Donnie there is the CEO of Convolt again. The 346 00:19:00,720 --> 00:19:05,520 Speaker 1: ticker on the NASDAC is see v lt UM. Go 347 00:19:05,560 --> 00:19:07,359 Speaker 1: ahead and check that out if you want to see 348 00:19:07,440 --> 00:19:12,840 Speaker 1: more about Convolt Systems UM. The stock over the past 349 00:19:13,040 --> 00:19:17,280 Speaker 1: year has UM come down a little right now six 350 00:19:18,160 --> 00:19:21,480 Speaker 1: eight UM, but it had a big jump throughout one 351 00:19:21,520 --> 00:19:23,439 Speaker 1: and like the rest of the market's been very vulnerable. 352 00:19:25,880 --> 00:19:29,000 Speaker 1: Thanks for listening to the Bloomberg Markets podcast. You can 353 00:19:29,040 --> 00:19:32,800 Speaker 1: subscribe and listen to interviews with Apple podcasts or whatever. 354 00:19:32,880 --> 00:19:36,560 Speaker 1: Podcast platform you prefer. I'm Matt Miller. I'm on Twitter 355 00:19:36,800 --> 00:19:40,320 Speaker 1: at Matt Miller three. Pt on Fall Sweeney, I'm on 356 00:19:40,320 --> 00:19:43,280 Speaker 1: Twitter at pt Sweeney. Before the podcast, you can always 357 00:19:43,280 --> 00:19:45,160 Speaker 1: catch us worldwide at Bloomberg Radio