1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg P and L Podcast. I'm Pim Fox. 2 00:00:08,760 --> 00:00:11,560 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg P and L 6 00:00:20,840 --> 00:00:32,680 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. We 7 00:00:32,720 --> 00:00:36,120 Speaker 1: are broadcasting live from Carbonites Investor Day at their international 8 00:00:36,120 --> 00:00:39,959 Speaker 1: headquarters in downtown Boston. And well we're joined really by 9 00:00:39,960 --> 00:00:42,879 Speaker 1: our host right now, Muhammad Ali. He is the president 10 00:00:42,920 --> 00:00:45,919 Speaker 1: and the chief executive of Carbonite. Thank you very much 11 00:00:45,960 --> 00:00:48,720 Speaker 1: for hosting us. Thank you for being here. Um, let's 12 00:00:48,760 --> 00:00:52,320 Speaker 1: begin by just maybe outlining for people a bit of 13 00:00:52,360 --> 00:00:55,440 Speaker 1: a strategy change on the part of Carbonite, because I 14 00:00:55,440 --> 00:00:58,920 Speaker 1: can remember when it was focused almost exclusively on the consumer. 15 00:00:59,000 --> 00:01:02,120 Speaker 1: Back up your data and don't worry about it, but 16 00:01:02,200 --> 00:01:05,000 Speaker 1: there's been a shift. You bought some assets from s Gay, 17 00:01:05,120 --> 00:01:08,199 Speaker 1: you purchased a company, I believe earlier in the year 18 00:01:08,280 --> 00:01:11,880 Speaker 1: of double Take software in order to kind of shift 19 00:01:11,920 --> 00:01:15,039 Speaker 1: your strategy to move more into the enterprise. Can you 20 00:01:15,080 --> 00:01:17,480 Speaker 1: tell us about that? Yeah, no, thank you for asking. 21 00:01:17,720 --> 00:01:20,360 Speaker 1: Today is actually a big day here at Carponite. We're 22 00:01:20,440 --> 00:01:24,520 Speaker 1: using our investor day as an opportunity to really showcase 23 00:01:25,120 --> 00:01:27,919 Speaker 1: the strategy that we've implemented over the last three years, 24 00:01:28,280 --> 00:01:31,319 Speaker 1: which is a huge transformation for the company. As you 25 00:01:31,400 --> 00:01:33,679 Speaker 1: pointed out, we used to be and we still are, 26 00:01:34,040 --> 00:01:37,360 Speaker 1: that reliable company of backs up your laptop, but today 27 00:01:37,480 --> 00:01:40,520 Speaker 1: we now actually have a portfolio that we have built 28 00:01:40,600 --> 00:01:44,759 Speaker 1: both organically and inorganically that does what we call complete 29 00:01:44,800 --> 00:01:48,000 Speaker 1: data protection. As you know, data is everywhere now, it's 30 00:01:48,000 --> 00:01:50,320 Speaker 1: the most important asset. It's in the cloud, it's in 31 00:01:50,720 --> 00:01:53,200 Speaker 1: a lot of different clouds, it's on prem it's on 32 00:01:53,240 --> 00:01:55,520 Speaker 1: a whole bunch of operating systems. We're one of the 33 00:01:55,720 --> 00:01:59,840 Speaker 1: very very few companies now that can protect all that data, 34 00:02:00,120 --> 00:02:03,640 Speaker 1: your whole I T system, regardless of where it is. Mohammed, 35 00:02:04,000 --> 00:02:07,880 Speaker 1: you previously were chief strategy officer at Heltt Packard, You've 36 00:02:07,880 --> 00:02:11,520 Speaker 1: been at IBM. This is a smaller company, and I'm wondering, 37 00:02:11,560 --> 00:02:15,480 Speaker 1: can you speak to the unique challenges UH being in 38 00:02:15,520 --> 00:02:19,000 Speaker 1: a scrappy organization and say one of these uh legacy 39 00:02:19,560 --> 00:02:23,680 Speaker 1: behemoth tech companies. Sure, Um, you know, I actually start 40 00:02:23,760 --> 00:02:26,399 Speaker 1: up my career at a small company was called Adobe 41 00:02:26,560 --> 00:02:29,160 Speaker 1: before became a big company, and then I did and 42 00:02:29,480 --> 00:02:33,120 Speaker 1: artificial intelligence startup. Today we call that a big data startup. 43 00:02:33,400 --> 00:02:37,880 Speaker 1: So I love the small company. I love the scrappiness. Um. Now, 44 00:02:38,080 --> 00:02:41,760 Speaker 1: you know, when I got to IBM and tow hb UM, 45 00:02:42,320 --> 00:02:44,200 Speaker 1: one of the one of the things that that that 46 00:02:44,280 --> 00:02:47,200 Speaker 1: scrappiness was able to allow me to do is to 47 00:02:47,240 --> 00:02:49,600 Speaker 1: help those companies transform because it was very difficult to 48 00:02:49,600 --> 00:02:52,400 Speaker 1: those companies transform from within. And so I, you know, 49 00:02:52,440 --> 00:02:56,160 Speaker 1: I helped IBM transform into a software services company again 50 00:02:56,200 --> 00:03:00,280 Speaker 1: through a large number of divestitures and acquisitions to build 51 00:03:00,280 --> 00:03:03,519 Speaker 1: a portfolio. Uh. And then at HP, I you know, 52 00:03:03,560 --> 00:03:06,360 Speaker 1: I led the project to split the company into various parts. 53 00:03:06,400 --> 00:03:09,480 Speaker 1: Again sort of that scrappy thinking, Uh, if the company 54 00:03:09,560 --> 00:03:11,880 Speaker 1: is too big to really be successful, can you make 55 00:03:11,880 --> 00:03:15,920 Speaker 1: the smaller parts successful? So this, you know, the scrappy thinking, 56 00:03:16,040 --> 00:03:18,400 Speaker 1: as regardless of whether it's big company or small company, 57 00:03:18,520 --> 00:03:21,799 Speaker 1: is really important. We have that scrappy thinking here at Carbonite, 58 00:03:21,919 --> 00:03:23,720 Speaker 1: and that's why I think we've been able to you know, 59 00:03:23,760 --> 00:03:26,160 Speaker 1: more than double the company in the last two and 60 00:03:26,160 --> 00:03:31,000 Speaker 1: a half years. Does that scrappy attitude apply also to 61 00:03:31,080 --> 00:03:35,040 Speaker 1: spending money on marketing? Because this has a competitive business, 62 00:03:35,240 --> 00:03:38,160 Speaker 1: and as Lisa said, you you are smaller than some 63 00:03:38,240 --> 00:03:42,200 Speaker 1: of your competitors. I'm just gonna preview maybe one of 64 00:03:42,240 --> 00:03:44,320 Speaker 1: the questions you're gonna get at your investor day, which is, 65 00:03:44,520 --> 00:03:45,960 Speaker 1: you know, how much you're gonna spend a lot of 66 00:03:46,000 --> 00:03:48,880 Speaker 1: money on this? How are you going to afford all this? Yeah? 67 00:03:48,960 --> 00:03:50,920 Speaker 1: I mean, you know, we've been around for twelve years. 68 00:03:51,440 --> 00:03:54,600 Speaker 1: We started out as one of the very first companies 69 00:03:54,600 --> 00:03:58,360 Speaker 1: that advertise in radio software companies, uh, the advertising radio. 70 00:03:58,600 --> 00:04:02,400 Speaker 1: And we have learned through tremendous amount of data and analytics, 71 00:04:02,520 --> 00:04:06,520 Speaker 1: how to best deploy that money. And so twelve years later, 72 00:04:06,880 --> 00:04:10,120 Speaker 1: we can you know, we have an extremely advanced business 73 00:04:10,120 --> 00:04:13,640 Speaker 1: intelligence team that uses some of those artificial intelligence techniques 74 00:04:13,680 --> 00:04:16,480 Speaker 1: that I've talked about, you know, just just a little 75 00:04:16,480 --> 00:04:19,320 Speaker 1: while ago, to determine how to best place that money 76 00:04:19,360 --> 00:04:22,159 Speaker 1: and make it return in the most efficient way. You know, 77 00:04:22,240 --> 00:04:24,960 Speaker 1: one thing that we hear again and again from a 78 00:04:25,040 --> 00:04:29,160 Speaker 1: variety of chief executive officers is how difficult it is 79 00:04:29,200 --> 00:04:31,680 Speaker 1: to hire talent right now. Uh, and that you know 80 00:04:31,720 --> 00:04:35,440 Speaker 1: that the job market is incredibly tight, particularly in certain areas, 81 00:04:35,720 --> 00:04:38,400 Speaker 1: and I'm wondering, uh, you know, clearly based on the 82 00:04:38,640 --> 00:04:41,320 Speaker 1: clear love of Star Wars in our offices. Um, you know, 83 00:04:41,320 --> 00:04:43,680 Speaker 1: there is a certain culture here. But I'm wondering on 84 00:04:43,720 --> 00:04:46,440 Speaker 1: a broader level, how concerned you are about um sort 85 00:04:46,480 --> 00:04:48,560 Speaker 1: of bigger U S policies like the H one B 86 00:04:48,800 --> 00:04:52,520 Speaker 1: visa policy. Uh, and whether you view that potentially affecting 87 00:04:52,520 --> 00:04:56,920 Speaker 1: your business. Oh, very concerned, and it certainly affects our business. 88 00:04:56,960 --> 00:04:59,760 Speaker 1: But you know, if you think about America, America was 89 00:04:59,760 --> 00:05:03,320 Speaker 1: really built on this, uh, you know, incredible combination of 90 00:05:03,400 --> 00:05:06,599 Speaker 1: domestic talent and immigrant talent. I mean not just for 91 00:05:06,640 --> 00:05:09,839 Speaker 1: the last few years, but for two hundred years. Um. 92 00:05:09,880 --> 00:05:12,040 Speaker 1: You know, I walked in the office this morning and 93 00:05:12,080 --> 00:05:14,880 Speaker 1: I got this beautiful card with this long letter inside 94 00:05:14,920 --> 00:05:16,920 Speaker 1: from one of our employees. And I'm just gonna read 95 00:05:16,960 --> 00:05:20,080 Speaker 1: one paragraph. And she came. She came from China. It 96 00:05:20,120 --> 00:05:22,560 Speaker 1: was four years ago that I decided to come to 97 00:05:22,600 --> 00:05:25,479 Speaker 1: the United States to pursue my MBA because I believe 98 00:05:25,760 --> 00:05:28,279 Speaker 1: that if I work hard towards a clear goal, anything 99 00:05:28,400 --> 00:05:31,720 Speaker 1: is possible. And I found that with the right attitude 100 00:05:31,760 --> 00:05:35,760 Speaker 1: and inspirational leadership, such dreams can come true. Now, we 101 00:05:35,800 --> 00:05:38,440 Speaker 1: didn't hire her because she's from China. We hired her 102 00:05:38,480 --> 00:05:41,839 Speaker 1: because she was globally the best candidate for the job. 103 00:05:42,200 --> 00:05:46,039 Speaker 1: That's what makes American company strong. We're able to hire 104 00:05:46,080 --> 00:05:49,279 Speaker 1: the best and we're able to innovate better than anyone else. 105 00:05:49,640 --> 00:05:52,440 Speaker 1: If somehow, all of a sudden that is curtail or 106 00:05:52,520 --> 00:05:56,680 Speaker 1: these people go elsewhere, we have we have a problem here. 107 00:05:56,880 --> 00:05:59,120 Speaker 1: And if you think about the fact that over fifty 108 00:05:59,240 --> 00:06:03,440 Speaker 1: percent uh fortune companies here in Massachusetts were started by 109 00:06:03,440 --> 00:06:05,640 Speaker 1: an immigrant or a child of an immigrant. If we 110 00:06:05,960 --> 00:06:09,080 Speaker 1: no longer have those people, it's going to affect our economy. 111 00:06:09,360 --> 00:06:12,600 Speaker 1: You know. Earlier we were speaking with your chief evangelist, 112 00:06:12,680 --> 00:06:16,800 Speaker 1: Norman Guardgayell and yes, and we were talking about the 113 00:06:16,839 --> 00:06:19,160 Speaker 1: cyber threats and cyber tests because of course these are 114 00:06:19,200 --> 00:06:22,800 Speaker 1: in the headlines in the worst Equifax. Indeed, I want 115 00:06:22,839 --> 00:06:24,640 Speaker 1: to get your thoughts on that and what do you 116 00:06:24,680 --> 00:06:30,000 Speaker 1: believe will happen as a result. Uh Well, so, unfortunately, 117 00:06:30,000 --> 00:06:32,039 Speaker 1: I think we live in an era where more and 118 00:06:32,120 --> 00:06:34,160 Speaker 1: more of these things are going to happen. And what 119 00:06:34,360 --> 00:06:37,679 Speaker 1: carbonite does is it allows it allows you to bring 120 00:06:37,720 --> 00:06:41,000 Speaker 1: your business back to life after you've been either attacked 121 00:06:41,000 --> 00:06:45,560 Speaker 1: by one of these you know, cyber crime situation, whether 122 00:06:45,600 --> 00:06:49,240 Speaker 1: it's ransomware. Whether you've been hit by Hurricane Arama, whatever 123 00:06:49,240 --> 00:06:53,400 Speaker 1: the situation, carbon I will bring your company back to life. Uh. 124 00:06:53,440 --> 00:06:55,880 Speaker 1: Now you still have to clean up afterwards, as Equifax 125 00:06:55,920 --> 00:06:59,200 Speaker 1: will have to do. But you know, unfortunately, they're just 126 00:06:59,360 --> 00:07:02,600 Speaker 1: so many of these cyber weapons out there now, developed 127 00:07:02,720 --> 00:07:06,839 Speaker 1: either by industry or by cy criminals or our governments, 128 00:07:06,839 --> 00:07:09,320 Speaker 1: and they're being leaked. So I think we are in 129 00:07:09,400 --> 00:07:12,600 Speaker 1: actually a very complicated time here. Well, I'd love to 130 00:07:12,600 --> 00:07:15,840 Speaker 1: wrap my head around what that means to bring the 131 00:07:15,960 --> 00:07:19,520 Speaker 1: business back. Does it mean restoring the data? Does it 132 00:07:19,720 --> 00:07:23,760 Speaker 1: mean uh, putting new encryptions in to prevent another attack? 133 00:07:23,840 --> 00:07:26,760 Speaker 1: What does that mean to you? Yeah? So, um so, 134 00:07:26,840 --> 00:07:31,000 Speaker 1: first and foremost, it's about resurrecting the business. So if 135 00:07:31,000 --> 00:07:34,360 Speaker 1: you get hit by a tornado or a hurricane, as 136 00:07:34,480 --> 00:07:38,000 Speaker 1: was the case just recently. We have a customer who 137 00:07:38,040 --> 00:07:41,040 Speaker 1: called us right before this hurricane was about to hit 138 00:07:41,080 --> 00:07:42,840 Speaker 1: the island the Caribbean and said, we need you to 139 00:07:42,880 --> 00:07:45,000 Speaker 1: back up our system so that if we no longer 140 00:07:45,080 --> 00:07:47,360 Speaker 1: have a hotel there, at least from home, we can 141 00:07:47,520 --> 00:07:50,520 Speaker 1: we have everything we can resurrect this, maybe not in 142 00:07:50,560 --> 00:07:54,080 Speaker 1: that computer environment, maybe in your cloud and that's something 143 00:07:54,120 --> 00:07:56,320 Speaker 1: we can do. We could spin up your entire I 144 00:07:56,440 --> 00:07:59,360 Speaker 1: T environment in our cloud and have you run as 145 00:07:59,440 --> 00:08:02,320 Speaker 1: long as you too in our cloth to keep going. Airlines, 146 00:08:02,360 --> 00:08:05,000 Speaker 1: for example, use us to ensure high availability, so if 147 00:08:05,000 --> 00:08:07,880 Speaker 1: their systems go down, they fail over to our systems 148 00:08:07,880 --> 00:08:13,160 Speaker 1: and they keep running. Now, in terms of preventive aspects, right, uh, like, 149 00:08:13,800 --> 00:08:16,280 Speaker 1: we also provide some level of security, but at the 150 00:08:16,360 --> 00:08:18,880 Speaker 1: end of the day, you're most likely going to get hit. 151 00:08:19,520 --> 00:08:22,160 Speaker 1: Mohamad Ali, thank you so much. Mohamed Ali, President, chief 152 00:08:22,160 --> 00:08:38,319 Speaker 1: executive officer of Carbonite, based in Boston. Part let's talk 153 00:08:38,360 --> 00:08:41,640 Speaker 1: about the future when it comes to small cap stocks, 154 00:08:41,679 --> 00:08:44,040 Speaker 1: and here to help us is Drew Bejia. He is 155 00:08:44,080 --> 00:08:47,440 Speaker 1: the vice president portfolio manager of the g I M 156 00:08:47,640 --> 00:08:53,040 Speaker 1: small Cap Focused Growth Strategy for Granaham Investment Management firm. 157 00:08:53,080 --> 00:08:55,839 Speaker 1: Why they manage over a billion dollars. The small Cap 158 00:08:55,880 --> 00:08:58,320 Speaker 1: Focused Growth fund has about a quarter of a billion 159 00:08:58,360 --> 00:09:01,240 Speaker 1: dollars and they are based in wolf M, mass Drew, 160 00:09:01,320 --> 00:09:03,439 Speaker 1: thank you very much for being with us and coming in. 161 00:09:04,160 --> 00:09:07,200 Speaker 1: Maybe just first of all, make the case for small 162 00:09:07,280 --> 00:09:09,880 Speaker 1: cap stocks for people that may not be familiar with 163 00:09:09,920 --> 00:09:14,320 Speaker 1: this particular asset class. Sure, so we're we're looking for 164 00:09:14,480 --> 00:09:18,400 Speaker 1: small cap growth companies. And you know, our our clients 165 00:09:18,400 --> 00:09:21,440 Speaker 1: tend to be pension plans and now months that need 166 00:09:21,480 --> 00:09:28,000 Speaker 1: returns to essentially pay pay pensioners their retirement. What characterizes 167 00:09:28,080 --> 00:09:31,960 Speaker 1: small cap for you? Right? So, small cap typically it's 168 00:09:32,440 --> 00:09:34,880 Speaker 1: under two billion dollars put the sweet spots around a 169 00:09:34,880 --> 00:09:37,840 Speaker 1: billion dollars in market cap. And the idea is that 170 00:09:37,920 --> 00:09:41,920 Speaker 1: these companies, because they're small, can grow faster and accumulate 171 00:09:42,240 --> 00:09:46,360 Speaker 1: um can appreciate over the long long haul. So, Drew, 172 00:09:46,360 --> 00:09:48,840 Speaker 1: I'm looking at the performance of this fund and it's 173 00:09:48,960 --> 00:09:51,120 Speaker 1: up more than timber cent year to day, which is 174 00:09:51,200 --> 00:09:53,640 Speaker 1: ahead of the Rustle tooth hoousand. And I'm wondering, you 175 00:09:53,640 --> 00:09:56,040 Speaker 1: know what, what were the main drivers? What were the 176 00:09:56,200 --> 00:10:00,600 Speaker 1: sort of wagers that you got? Did you got right? Uh? So? 177 00:10:00,960 --> 00:10:03,360 Speaker 1: In generally, as I mentioned, we're looking for companies that 178 00:10:03,400 --> 00:10:08,800 Speaker 1: can grow and uh stocks that have good risk reward 179 00:10:08,920 --> 00:10:13,640 Speaker 1: and we take fairly concentrated bets five six seven percent 180 00:10:13,800 --> 00:10:17,760 Speaker 1: of the portfolio at times, and this year I think 181 00:10:17,760 --> 00:10:22,080 Speaker 1: we're actually up about or so and and what's uh 182 00:10:22,240 --> 00:10:24,680 Speaker 1: we've been able to do is is the bigger bets 183 00:10:24,760 --> 00:10:28,439 Speaker 1: have worked out and for the most part, the smaller 184 00:10:28,480 --> 00:10:32,480 Speaker 1: bets um, the ones that haven't worked out or have 185 00:10:32,559 --> 00:10:36,520 Speaker 1: been smaller positions are some of the companies that have 186 00:10:36,679 --> 00:10:40,640 Speaker 1: been a big winners. So we recently exited a position 187 00:10:40,640 --> 00:10:44,520 Speaker 1: in Shopify, which is no longer small cap, but his 188 00:10:44,880 --> 00:10:49,600 Speaker 1: uh you know, an e commerce solutions provider for small 189 00:10:49,640 --> 00:10:53,360 Speaker 1: to medium size businesses that has done very well this 190 00:10:53,440 --> 00:10:58,240 Speaker 1: year and risk reward and market cap uh cause us 191 00:10:58,240 --> 00:11:01,920 Speaker 1: to exit the position. What what what kind of h 192 00:11:02,240 --> 00:11:04,280 Speaker 1: work do you have to do in order to get 193 00:11:04,280 --> 00:11:07,600 Speaker 1: the information necessary to make these kinds of investments because 194 00:11:07,600 --> 00:11:11,400 Speaker 1: many small cap stocks are not covered by any analysts 195 00:11:11,400 --> 00:11:13,760 Speaker 1: and it doesn't seem to be a large following. Sure, 196 00:11:14,200 --> 00:11:16,600 Speaker 1: So at Grana hand we're a pretty small shop. We 197 00:11:16,640 --> 00:11:19,480 Speaker 1: have about twenty people, but uh seven of us are 198 00:11:19,600 --> 00:11:22,560 Speaker 1: very experienced in small caps. So we're very experienced team 199 00:11:23,160 --> 00:11:26,240 Speaker 1: that is looking for these small cap growth companies. I 200 00:11:26,280 --> 00:11:29,319 Speaker 1: call them desert island companies because if you sent me 201 00:11:29,360 --> 00:11:31,880 Speaker 1: to a desert island and come back five, six, seven, 202 00:11:31,920 --> 00:11:35,560 Speaker 1: ten years from now, they'd be uh much much more valuable, 203 00:11:35,559 --> 00:11:38,440 Speaker 1: they much bigger. So part of what we do is 204 00:11:38,600 --> 00:11:41,720 Speaker 1: exclusively look for those companies, and it's easier to find 205 00:11:42,640 --> 00:11:45,120 Speaker 1: diamonds in the rough if if you're if you're expresing, 206 00:11:45,120 --> 00:11:46,440 Speaker 1: But where do you go to? Where do you go 207 00:11:46,480 --> 00:11:48,040 Speaker 1: to find these? I mean, is it someone that comes 208 00:11:48,040 --> 00:11:51,040 Speaker 1: in with an idea, says, oh, my family just bought something, 209 00:11:51,320 --> 00:11:54,040 Speaker 1: or you went to an investor presentation, because a lot 210 00:11:54,040 --> 00:11:57,520 Speaker 1: of companies have trouble getting getting any kind of following 211 00:11:57,640 --> 00:12:00,520 Speaker 1: or anybody to wat you know, watch over them. Sure. Well, 212 00:12:00,559 --> 00:12:02,800 Speaker 1: as I mentioned, we have seven people looking for these 213 00:12:02,880 --> 00:12:08,760 Speaker 1: desert islands, secular growers and uh UM in that we 214 00:12:08,800 --> 00:12:13,280 Speaker 1: cover a pretty wide net and can quickly reject most companies. 215 00:12:13,320 --> 00:12:20,560 Speaker 1: So industry UM contacts suppliers, customers of companies we already know, etcetera. So, Drew, 216 00:12:20,640 --> 00:12:23,120 Speaker 1: you know, it's it's sort of this popular belief right 217 00:12:23,120 --> 00:12:26,520 Speaker 1: now that there's money flowing toward anything and everything that 218 00:12:26,679 --> 00:12:30,440 Speaker 1: asks for money right now, just given the current backdrop, 219 00:12:30,559 --> 00:12:33,800 Speaker 1: backdrop of central bank liquidity. Uh do you think that 220 00:12:33,800 --> 00:12:38,840 Speaker 1: that is an inaccurate characterization of this current market. I'd 221 00:12:38,880 --> 00:12:43,079 Speaker 1: have to say that there is capitals not scarce. UM 222 00:12:43,120 --> 00:12:48,320 Speaker 1: growth is scarce, and so I think you're seeing um 223 00:12:48,400 --> 00:12:52,240 Speaker 1: and and rates are low. So that combination is leading 224 00:12:52,280 --> 00:12:56,960 Speaker 1: toward investors to look for anything where they can have uh, 225 00:12:57,120 --> 00:12:59,679 Speaker 1: prospects for growth. Well, but I guess that's what I'm 226 00:12:59,679 --> 00:13:02,719 Speaker 1: getting at is, you know, how do you sort of 227 00:13:02,760 --> 00:13:06,760 Speaker 1: adjust your models to understand what value is at a 228 00:13:06,800 --> 00:13:10,000 Speaker 1: time when there is so much capital that's pushing up valuations, 229 00:13:10,640 --> 00:13:13,319 Speaker 1: and how do you adjust your your expectations for growth 230 00:13:13,360 --> 00:13:15,400 Speaker 1: going forward? Uh, you know, based on the idea that 231 00:13:15,440 --> 00:13:18,160 Speaker 1: this might this might end. Yeah, so that you separate 232 00:13:18,200 --> 00:13:20,880 Speaker 1: the asset from the price of the asset. So the 233 00:13:20,960 --> 00:13:25,480 Speaker 1: asset has in our case, little to do with the 234 00:13:25,559 --> 00:13:28,720 Speaker 1: access to capital. There's there's plenty of capital, so that 235 00:13:28,880 --> 00:13:31,800 Speaker 1: asset and our growth expectations, we're only looking for these 236 00:13:31,800 --> 00:13:34,679 Speaker 1: companies that are pretty rare that can sustain growth in 237 00:13:34,760 --> 00:13:37,760 Speaker 1: terms of pricing of the asset. You're right, there's been 238 00:13:37,800 --> 00:13:40,320 Speaker 1: a flood of capital. And what we do is a 239 00:13:40,360 --> 00:13:44,800 Speaker 1: probability weighted expected return, which has good scenarios and bad scenarios, 240 00:13:44,840 --> 00:13:48,480 Speaker 1: and we probably wait them so it tries to capture both. 241 00:13:48,880 --> 00:13:52,880 Speaker 1: So real quick, thirty seconds, what's your best idea right 242 00:13:52,920 --> 00:13:56,439 Speaker 1: now that you're looking at our company that you've recently bought. Uh, well, 243 00:13:56,559 --> 00:13:59,520 Speaker 1: not the best idea, because we have a fairly concentrate 244 00:14:00,080 --> 00:14:04,199 Speaker 1: concentrated UH portfolio. But for example, there's a company here 245 00:14:04,200 --> 00:14:07,400 Speaker 1: in Boston called ub spot UH. It's a platform for 246 00:14:07,480 --> 00:14:10,920 Speaker 1: small to medium sized businesses. They're basically created a category 247 00:14:11,000 --> 00:14:15,199 Speaker 1: called inbound marketing. We use it high value, add open 248 00:14:15,320 --> 00:14:20,560 Speaker 1: ended opportunity. Very interesting Desert Island company. The stock we 249 00:14:20,600 --> 00:14:23,120 Speaker 1: also think has good risk, reward and probability way to 250 00:14:23,160 --> 00:14:25,480 Speaker 1: expect the return. Drew Bejia, thank you so much for 251 00:14:25,520 --> 00:14:28,720 Speaker 1: joining us. Drew Bejia as vice president portfolio manager of 252 00:14:28,760 --> 00:14:32,120 Speaker 1: the g i M small cap focused growth strategy for 253 00:14:32,280 --> 00:14:37,040 Speaker 1: Grinahan Investment Management, which manages UH about a billion dollars 254 00:14:37,080 --> 00:14:50,960 Speaker 1: and is based in Waltham, Massachusetts. Let's bring in Margaret 255 00:14:50,960 --> 00:14:54,440 Speaker 1: Tollive right now. Our White House corresponded. Margaret is in Washington, 256 00:14:54,520 --> 00:14:56,480 Speaker 1: and Margaret, I'm wondering if you could just sort of 257 00:14:56,840 --> 00:14:59,720 Speaker 1: unpack a little bit of what the President was describing, 258 00:14:59,760 --> 00:15:01,960 Speaker 1: because it seems as though he was making a very 259 00:15:02,000 --> 00:15:06,160 Speaker 1: great distinction between the people of the various countries and 260 00:15:06,200 --> 00:15:09,760 Speaker 1: the responsibilities of the world leaders in order to fulfill 261 00:15:10,240 --> 00:15:16,080 Speaker 1: this promises he describes it of freedom, justice and peace. UH. 262 00:15:16,200 --> 00:15:18,920 Speaker 1: You know, it's really interesting because when we hear the 263 00:15:18,960 --> 00:15:21,960 Speaker 1: two messages of the president's speech. One was sort of UH, 264 00:15:22,240 --> 00:15:26,280 Speaker 1: uniting the world around action, UH, particularly towards North Korea 265 00:15:26,320 --> 00:15:29,840 Speaker 1: and also UM on Ivan. But the second was to 266 00:15:29,960 --> 00:15:32,840 Speaker 1: kind of drill home on this point that's been central 267 00:15:33,000 --> 00:15:36,040 Speaker 1: to his, you know, still relatively new political career, the 268 00:15:36,120 --> 00:15:40,560 Speaker 1: idea of of the primacy of nation states, of sovereignty 269 00:15:40,600 --> 00:15:42,600 Speaker 1: and such, and so the way he treated the needle 270 00:15:42,720 --> 00:15:46,280 Speaker 1: was again to say that you can be UM looking 271 00:15:46,280 --> 00:15:48,440 Speaker 1: out for number one. In effect, every country can have 272 00:15:48,480 --> 00:15:50,960 Speaker 1: its own version of an America First policy, and they 273 00:15:50,960 --> 00:15:56,080 Speaker 1: can still UM interact through the United Nations on issues 274 00:15:56,120 --> 00:15:59,120 Speaker 1: that rise above individual national interests. At these are the 275 00:15:59,160 --> 00:16:02,560 Speaker 1: two themes. Uh. They did sort of at sometimes bump 276 00:16:02,600 --> 00:16:06,200 Speaker 1: into one another. But his mission again was to try 277 00:16:06,200 --> 00:16:09,920 Speaker 1: to thread the needle between someone who's been himself skeptical 278 00:16:10,000 --> 00:16:13,280 Speaker 1: in the past of the utility of organizations like the 279 00:16:13,320 --> 00:16:16,840 Speaker 1: United Nations, but in this case saying, UH on North 280 00:16:16,880 --> 00:16:19,280 Speaker 1: Korea and Iran, I really think the world needs to 281 00:16:19,320 --> 00:16:23,280 Speaker 1: come together around what the US wants an act. Well, Margaret, 282 00:16:23,320 --> 00:16:25,600 Speaker 1: you know, I'd love to just get your big picture 283 00:16:25,760 --> 00:16:29,320 Speaker 1: sense of how this speech was likely received. He did 284 00:16:29,360 --> 00:16:34,160 Speaker 1: stay on script. He did quote historical figures in American history. 285 00:16:34,760 --> 00:16:39,040 Speaker 1: What was your first impression. Uh. We were very much 286 00:16:39,080 --> 00:16:41,560 Speaker 1: interested in looking around the room, not just to hear 287 00:16:41,600 --> 00:16:43,640 Speaker 1: what he was saying, but to watch how people were reacting. 288 00:16:43,640 --> 00:16:45,960 Speaker 1: And I was interested in seeing the notes from my 289 00:16:46,040 --> 00:16:49,320 Speaker 1: colleagues who were on the floor and sending color. UM, 290 00:16:49,720 --> 00:16:53,360 Speaker 1: some key US allies holding onto every word. Be at 291 00:16:53,480 --> 00:16:57,600 Speaker 1: Israel or be a Japan Uh, some other countries. Ministers 292 00:16:57,640 --> 00:17:01,160 Speaker 1: at times go ahead checking their their phones for notes, 293 00:17:01,560 --> 00:17:04,520 Speaker 1: kind of in and out of the stream of of 294 00:17:04,720 --> 00:17:08,320 Speaker 1: what he was saying. Uh. And then of course, UM 295 00:17:08,760 --> 00:17:11,520 Speaker 1: looking for where a couple of the countries who were 296 00:17:11,520 --> 00:17:14,920 Speaker 1: targets of these discussions stood in the room earlier before 297 00:17:14,960 --> 00:17:17,840 Speaker 1: he began to speak. UM. North Korea as foreign minister 298 00:17:17,880 --> 00:17:20,199 Speaker 1: appeared to be in the room later on, UM not 299 00:17:20,320 --> 00:17:22,760 Speaker 1: as visible. So well, I think we're going to see 300 00:17:22,760 --> 00:17:24,920 Speaker 1: the reaction from the world begin to trickle in. There 301 00:17:24,920 --> 00:17:28,600 Speaker 1: were a couple of lines that were important for domestic audience, 302 00:17:28,640 --> 00:17:32,120 Speaker 1: such as the president's UH talk about Venezuela and how 303 00:17:32,280 --> 00:17:36,640 Speaker 1: the problem was in fact the ideology of socialism that 304 00:17:36,720 --> 00:17:39,960 Speaker 1: did not go over a real big and at the 305 00:17:40,000 --> 00:17:42,520 Speaker 1: same time, some of the discussions about the need to 306 00:17:42,560 --> 00:17:46,080 Speaker 1: act the score of Iran or the problems in North Korea. 307 00:17:46,119 --> 00:17:47,840 Speaker 1: There seemed to be a lot of agreement in the room, 308 00:17:47,920 --> 00:17:50,440 Speaker 1: so um different messages for different people. And this is 309 00:17:50,440 --> 00:17:53,159 Speaker 1: always true for US President. He's talking at once to 310 00:17:53,240 --> 00:17:56,280 Speaker 1: the world and to his own uh based not so 311 00:17:56,480 --> 00:17:59,160 Speaker 1: well all of the American voters, but particularly his base. 312 00:17:59,240 --> 00:18:02,080 Speaker 1: And again his base is the basi that is inherently 313 00:18:02,080 --> 00:18:04,840 Speaker 1: skeptical of the value and the utility of the United Nations. 314 00:18:05,600 --> 00:18:10,679 Speaker 1: Margaret Taller, thank you so much for joining us. Thanks 315 00:18:10,680 --> 00:18:13,320 Speaker 1: for listening to the Bloomberg P and L podcast. You 316 00:18:13,359 --> 00:18:17,119 Speaker 1: can subscribe and listen to interviews at Apple Podcasts, SoundCloud, 317 00:18:17,240 --> 00:18:20,720 Speaker 1: or whatever podcast platform you prefer. I'm pim Fox. I'm 318 00:18:20,760 --> 00:18:24,280 Speaker 1: on Twitter at pim Fox. I'm on Twitter at Lisa 319 00:18:24,320 --> 00:18:27,240 Speaker 1: Abramo wits one. Before the podcast, you can always catch 320 00:18:27,359 --> 00:18:29,080 Speaker 1: us worldwide on Bloomberg Radio.