1 00:00:05,960 --> 00:00:11,680 Speaker 1: Welcome a trillions. I'm Joel Webber and I'm Eric belchunis 2 00:00:12,880 --> 00:00:16,000 Speaker 1: Eric happy last days the summer? You're remote, I'm remote. 3 00:00:16,480 --> 00:00:19,240 Speaker 1: Let's do this together one more time, remote. 4 00:00:19,079 --> 00:00:23,400 Speaker 2: One last hurrah before the cold bucket of water of 5 00:00:23,480 --> 00:00:24,639 Speaker 2: return to office sets in. 6 00:00:25,400 --> 00:00:28,960 Speaker 1: You've got a new team member who is yes. 7 00:00:29,600 --> 00:00:32,320 Speaker 2: So believe it or not. We hired a mutual fund analyst, 8 00:00:33,080 --> 00:00:36,600 Speaker 2: which when I posted on LinkedIn that we're looking for this, 9 00:00:36,600 --> 00:00:39,400 Speaker 2: this guy replied with, this is like Elon Musk looking 10 00:00:39,440 --> 00:00:43,360 Speaker 2: for an internal combustible engine designer. Like what are you 11 00:00:43,440 --> 00:00:45,800 Speaker 2: talking about, right, because everybody kind of knows me as 12 00:00:45,880 --> 00:00:48,520 Speaker 2: ETF and passive and I read about Vanguard a lot 13 00:00:48,560 --> 00:00:51,599 Speaker 2: like why would you do this? But we noticed when 14 00:00:51,680 --> 00:00:54,120 Speaker 2: we covered mutual funds and notes, because sometimes we do, 15 00:00:54,520 --> 00:00:57,400 Speaker 2: the readership was really good because a lot of terminal 16 00:00:57,480 --> 00:00:59,960 Speaker 2: users are these mutual fund companies, and the sort of 17 00:01:00,240 --> 00:01:03,040 Speaker 2: horse race between them who's winning, who's leasing, really played 18 00:01:03,040 --> 00:01:06,280 Speaker 2: well on the terminal and it was still twenty six 19 00:01:06,400 --> 00:01:09,280 Speaker 2: trillion dollars in mutual funds. And there's a lot of 20 00:01:09,319 --> 00:01:11,560 Speaker 2: good active managers, even though the majority of them tend 21 00:01:11,640 --> 00:01:14,520 Speaker 2: to not beat the benchmark, And so we just thought 22 00:01:14,520 --> 00:01:17,399 Speaker 2: we should cover this and also add a counterweight to 23 00:01:17,760 --> 00:01:21,319 Speaker 2: their team's sort of bias towards passive and ETFs, And 24 00:01:21,440 --> 00:01:24,000 Speaker 2: so we hired David Cohene, who joined us a couple 25 00:01:24,040 --> 00:01:27,360 Speaker 2: months ago and has been kicking butt right off the bat, 26 00:01:27,840 --> 00:01:31,000 Speaker 2: writing a lot of notes, and this week he had 27 00:01:31,040 --> 00:01:33,399 Speaker 2: one that crushed it. It got the equivalent of like 28 00:01:33,440 --> 00:01:37,360 Speaker 2: a three run Homer in sort of readership terms for US, 29 00:01:38,160 --> 00:01:39,640 Speaker 2: and so I thought we should just go with some 30 00:01:39,680 --> 00:01:41,960 Speaker 2: of his interesting finds because there's been a couple of 31 00:01:42,000 --> 00:01:44,800 Speaker 2: notes he's written that I've just just been really surprising 32 00:01:44,840 --> 00:01:46,720 Speaker 2: to me and interesting, and I thought we should, you know, 33 00:01:46,760 --> 00:01:47,640 Speaker 2: dive into some of those. 34 00:01:48,800 --> 00:01:51,960 Speaker 1: Can't wait to explore this with David Cohne, who is 35 00:01:52,120 --> 00:01:56,280 Speaker 1: a mutual fund analyst with Bloomberg Intelligence, this time on 36 00:01:56,360 --> 00:02:02,559 Speaker 1: Trillian's five Interesting Finds from the Mutual fund world. David, 37 00:02:02,560 --> 00:02:03,720 Speaker 1: Welcome to Trillions. 38 00:02:04,880 --> 00:02:05,720 Speaker 3: Thank you for having me. 39 00:02:06,240 --> 00:02:08,639 Speaker 1: Okay, so, how do you feel about ETF We got 40 00:02:08,680 --> 00:02:09,280 Speaker 1: to start there. 41 00:02:10,080 --> 00:02:13,000 Speaker 3: I mean, they have their purpose more of an active guy, 42 00:02:13,400 --> 00:02:16,919 Speaker 3: So I like mutual funds and active ETFs, but you know, 43 00:02:16,960 --> 00:02:18,880 Speaker 3: there's a lot of areas of the market where many 44 00:02:18,880 --> 00:02:21,959 Speaker 3: managers struggle. So ETF serve a great purpose and a 45 00:02:21,960 --> 00:02:23,079 Speaker 3: lot of portfolios. 46 00:02:23,400 --> 00:02:25,120 Speaker 1: Do mutual funds still exist? 47 00:02:26,120 --> 00:02:30,120 Speaker 3: Yeah, yeah, there's a ton of assets. You think of 48 00:02:30,120 --> 00:02:33,960 Speaker 3: all the defined benefit plans for one k's, there's just 49 00:02:34,120 --> 00:02:36,560 Speaker 3: they're all mutual fund assets. A lot of it's still 50 00:02:36,600 --> 00:02:39,520 Speaker 3: actively managed, so they still have their place. 51 00:02:40,400 --> 00:02:44,040 Speaker 1: Okay, So you wrote a recent note that really did 52 00:02:44,120 --> 00:02:47,720 Speaker 1: crush it on the Bloomberg terminalized Eric mentioned, and it's 53 00:02:47,760 --> 00:02:51,480 Speaker 1: about QQQ, which we actually the last episode of Trillions 54 00:02:51,520 --> 00:02:55,399 Speaker 1: was all about how QQQ is this wildly successful ETF 55 00:02:55,760 --> 00:02:59,200 Speaker 1: and yet makes no money for Invesco, its owner. You 56 00:02:59,240 --> 00:03:02,520 Speaker 1: actually almost one up dust. What did you discover in 57 00:03:02,560 --> 00:03:03,480 Speaker 1: this note? 58 00:03:03,760 --> 00:03:06,680 Speaker 3: Well, I mean, if you look at the QQQ, it's beaten, 59 00:03:06,880 --> 00:03:09,320 Speaker 3: you know, the major market indexes. You look at some 60 00:03:09,320 --> 00:03:12,799 Speaker 3: of the other ETFs like SPY and VTI, and it's 61 00:03:12,880 --> 00:03:15,760 Speaker 3: just destroyed those over the last fifteen years. And it's 62 00:03:15,800 --> 00:03:19,200 Speaker 3: also been destroying just about every single mutual fund. But 63 00:03:19,240 --> 00:03:21,440 Speaker 3: there's been about a handful of mutual funds that have 64 00:03:21,520 --> 00:03:26,320 Speaker 3: been able to outperform the QQQ, basically by taking more risk, 65 00:03:26,520 --> 00:03:31,400 Speaker 3: whether that's concentrated bets or investing in lower quality companies. 66 00:03:32,560 --> 00:03:35,640 Speaker 1: Okay, So talk to us about this mutual fund of note. 67 00:03:36,480 --> 00:03:39,760 Speaker 3: Well, the big one is the Baron Partners Fund, managed 68 00:03:39,800 --> 00:03:42,960 Speaker 3: by Ron and Michael barn This fund's been around for 69 00:03:43,000 --> 00:03:46,240 Speaker 3: a while. It's actually outperformed the QQQ over five, ten 70 00:03:46,400 --> 00:03:51,360 Speaker 3: and fifteen years. It's fifteen year annualized return to seventeen 71 00:03:51,440 --> 00:03:53,760 Speaker 3: point eight, which is pretty good. And the thing with 72 00:03:53,840 --> 00:03:58,120 Speaker 3: this fund is it's extremely concentrated. It only held about 73 00:03:58,160 --> 00:04:03,040 Speaker 3: twenty stocks as of June thirtieth, with a allocation of 74 00:04:03,040 --> 00:04:06,360 Speaker 3: about forty point five percent to Tesla, which is pretty 75 00:04:06,400 --> 00:04:09,040 Speaker 3: huge for a mutual fund. You know, none of the 76 00:04:09,040 --> 00:04:13,360 Speaker 3: big company's, big mutual fund families typically allow their funds 77 00:04:13,400 --> 00:04:16,400 Speaker 3: to be this non diversified. And it's really kind of 78 00:04:16,440 --> 00:04:19,240 Speaker 3: written Tesla the last few years to outperformance. 79 00:04:19,760 --> 00:04:22,920 Speaker 2: Yeah, this is so interesting, Joel, because David's looking through 80 00:04:23,080 --> 00:04:26,520 Speaker 2: thousands of funds. This isn't even just growth managers. Anybody 81 00:04:26,600 --> 00:04:28,800 Speaker 2: beat the cues. And as we said last week, the 82 00:04:28,839 --> 00:04:31,200 Speaker 2: cues can be bought for twenty basis points and now 83 00:04:31,240 --> 00:04:33,120 Speaker 2: fifteen there's a mini me cues that does the same 84 00:04:33,160 --> 00:04:36,680 Speaker 2: thing for fifteen basis points. And think about that one 85 00:04:37,480 --> 00:04:41,040 Speaker 2: soul fund and what did that fund do? It got crazy. 86 00:04:41,560 --> 00:04:44,040 Speaker 2: I mean, we've been talking on the team lately about 87 00:04:44,040 --> 00:04:45,599 Speaker 2: how in order to beat the cues, you have to 88 00:04:45,680 --> 00:04:48,680 Speaker 2: kind of forget your CFA, you have to forget everything 89 00:04:48,720 --> 00:04:51,919 Speaker 2: you learned and just go wild. I'd even think the 90 00:04:51,920 --> 00:04:54,200 Speaker 2: Baron Fund, that the one that beat it, went even 91 00:04:54,360 --> 00:04:57,400 Speaker 2: you know, more wild than Kathy would, because Kathy would 92 00:04:57,440 --> 00:05:01,000 Speaker 2: in her portfolio, she has Tesla, and she Tesla obviously, 93 00:05:01,279 --> 00:05:03,560 Speaker 2: but when Tesla has a nice run, she'll sell it 94 00:05:04,360 --> 00:05:07,000 Speaker 2: to keep the waiting at ten percent or eleven percent, 95 00:05:07,080 --> 00:05:10,400 Speaker 2: so she's always profit taking. This guy just let it run. 96 00:05:11,000 --> 00:05:14,279 Speaker 2: And so he let this one stock run, which denominated 97 00:05:14,320 --> 00:05:18,520 Speaker 2: the portfolio, and it really gave him the juice, and 98 00:05:18,560 --> 00:05:21,560 Speaker 2: so he just got crazier than the cues. And I 99 00:05:21,640 --> 00:05:25,200 Speaker 2: just think this is a really I don't know if 100 00:05:25,240 --> 00:05:28,400 Speaker 2: ironic or a conundrum, which is that all these managers 101 00:05:28,440 --> 00:05:31,400 Speaker 2: go to schools, they take all the tests, they have 102 00:05:31,480 --> 00:05:35,520 Speaker 2: the numbers, and they see these highly these stocks with 103 00:05:35,680 --> 00:05:41,080 Speaker 2: just really high valuations. They're expensive, and their CFA brains 104 00:05:41,080 --> 00:05:42,880 Speaker 2: are like, there's no way this can keep going up. 105 00:05:42,920 --> 00:05:45,760 Speaker 2: I've got to invest in something that's cheaper, and that 106 00:05:45,920 --> 00:05:49,080 Speaker 2: just hasn't worked. Now it's some of it you can 107 00:05:49,120 --> 00:05:51,680 Speaker 2: beat this spy that way, but the CUES is like 108 00:05:51,800 --> 00:05:54,680 Speaker 2: just full of momentum and just the juggernaut I compared 109 00:05:54,720 --> 00:05:58,000 Speaker 2: to a locomotive train, And it's just interesting. And so 110 00:05:58,200 --> 00:06:00,839 Speaker 2: I think when when Dave wrote that no this week 111 00:06:01,279 --> 00:06:04,200 Speaker 2: that only one manager beat the mighty Cues, I think 112 00:06:04,240 --> 00:06:06,480 Speaker 2: a lot of our clients were like, yeah, I wonder 113 00:06:06,520 --> 00:06:09,920 Speaker 2: who it was, because I know I didn't. And so 114 00:06:09,960 --> 00:06:12,480 Speaker 2: it's just interesting and this could all change. The CUES 115 00:06:12,960 --> 00:06:16,200 Speaker 2: is a you know, has a high valuation, right, a 116 00:06:16,279 --> 00:06:19,839 Speaker 2: high average pe ratio. So if there's a move to 117 00:06:19,920 --> 00:06:24,040 Speaker 2: value that's long term, these people could outperform the cues 118 00:06:24,080 --> 00:06:25,680 Speaker 2: in mass. I'm not saying it can't happen, but the 119 00:06:25,760 --> 00:06:29,840 Speaker 2: last fifteen years it's really just been almost impossible to beat. 120 00:06:30,360 --> 00:06:33,200 Speaker 1: So Dave. Obviously the knock on active is always that 121 00:06:33,880 --> 00:06:36,640 Speaker 1: you might be able to beat something, but by the 122 00:06:36,680 --> 00:06:39,599 Speaker 1: time you account for fees, maybe not so much. What's 123 00:06:39,680 --> 00:06:42,320 Speaker 1: the fees look like for the fund that they've been 124 00:06:42,360 --> 00:06:43,920 Speaker 1: able to crush the cues like this. 125 00:06:45,360 --> 00:06:48,400 Speaker 3: It's not terrible. It is still a little bit higher 126 00:06:48,440 --> 00:06:50,279 Speaker 3: than I mean, obviously it's a lot higher than the 127 00:06:50,320 --> 00:06:56,159 Speaker 3: typical ETF. So an investor is basically willing to pay 128 00:06:56,200 --> 00:06:59,240 Speaker 3: a fee to outperform the cues, which is the case here, 129 00:06:59,320 --> 00:07:01,760 Speaker 3: and you know, willing to take that risk that comes 130 00:07:01,800 --> 00:07:02,039 Speaker 3: with it. 131 00:07:03,000 --> 00:07:05,120 Speaker 2: I mean, you know, and this is how you can 132 00:07:05,160 --> 00:07:07,440 Speaker 2: tell daves from the mutual fund world. One point six 133 00:07:07,600 --> 00:07:11,360 Speaker 2: nine percent. That's that's at that's a lot higher. But 134 00:07:11,680 --> 00:07:13,880 Speaker 2: for a mutual fund, it's not that bad. It's within 135 00:07:13,960 --> 00:07:17,120 Speaker 2: the range of normalcy. But for an ETF one point 136 00:07:17,120 --> 00:07:20,040 Speaker 2: sixty nine would be like, you know, a million dollars. 137 00:07:20,080 --> 00:07:23,960 Speaker 2: I mean again, qqq M, which is tracks then has 138 00:07:24,000 --> 00:07:26,600 Speaker 2: that one hundred is fifteen basis points, and a lot 139 00:07:26,600 --> 00:07:30,600 Speaker 2: of the you know, vanguard funds are under five. It's interesting, though, 140 00:07:30,960 --> 00:07:34,840 Speaker 2: this fund has seven billions, so it clearly has gotten 141 00:07:34,880 --> 00:07:38,560 Speaker 2: some interest. Seven billion is a pretty big size for 142 00:07:38,640 --> 00:07:41,200 Speaker 2: an active mutual fund, and it's taken in some money, 143 00:07:41,240 --> 00:07:44,000 Speaker 2: about half a billion over say the past five years. 144 00:07:44,400 --> 00:07:46,720 Speaker 2: But that's not a ton of money considering this performance. 145 00:07:46,760 --> 00:07:48,640 Speaker 2: So a lot of that seven billion roll came from 146 00:07:48,720 --> 00:07:51,800 Speaker 2: just the performance. So even though this mutual fund had 147 00:07:51,800 --> 00:07:53,520 Speaker 2: had such a nice run, it was the only one 148 00:07:53,520 --> 00:07:56,200 Speaker 2: to beat the cues, it barely got rewarded with flows. 149 00:07:56,200 --> 00:07:58,480 Speaker 2: Whereas Kathy would which she had her run got rewarded 150 00:07:58,520 --> 00:08:01,040 Speaker 2: big time. So you have to wonder if Baron wasn't 151 00:08:01,040 --> 00:08:04,120 Speaker 2: an ETF rapper, maybe it would have gotten more attention. 152 00:08:05,480 --> 00:08:08,960 Speaker 2: You know. Is this part of this sort of difficulty 153 00:08:09,040 --> 00:08:12,320 Speaker 2: of mutual funds having to overcome their vehicle so that 154 00:08:12,400 --> 00:08:15,040 Speaker 2: even if there is one that's really dynamic, maybe some 155 00:08:15,040 --> 00:08:16,920 Speaker 2: people don't even give it a look anymore. I don't know. 156 00:08:16,960 --> 00:08:19,320 Speaker 2: It's just an interesting case study for a lot of reasons. 157 00:08:19,840 --> 00:08:24,120 Speaker 1: Day when you dissected the portfolio, we talked about the concentration. 158 00:08:24,600 --> 00:08:26,880 Speaker 1: What else stood out to you about how they were 159 00:08:26,880 --> 00:08:27,720 Speaker 1: able to achieve this? 160 00:08:28,560 --> 00:08:30,680 Speaker 3: I mean one thing, you know, in addition to the Tesla, 161 00:08:30,760 --> 00:08:33,559 Speaker 3: it's kind of funny. I noticed that they have an 162 00:08:33,600 --> 00:08:37,560 Speaker 3: eight point three percent allocation to SpaceX and then just 163 00:08:37,600 --> 00:08:40,720 Speaker 3: a below one percent allocation to X holding, so they 164 00:08:40,760 --> 00:08:44,320 Speaker 3: seem to be a fan of Elon. It's kind of noteworthy, 165 00:08:45,559 --> 00:08:47,719 Speaker 3: you know. I mean, the Tesla's really been growing the 166 00:08:47,840 --> 00:08:50,560 Speaker 3: last three years or so. They've held it longer than that. 167 00:08:50,760 --> 00:08:53,360 Speaker 3: But the thing that's interesting is they continue to take 168 00:08:53,520 --> 00:08:56,600 Speaker 3: concentrated picks. So if you go back ten years, it's 169 00:08:56,640 --> 00:08:59,440 Speaker 3: a different company that has a huge allocation and so 170 00:08:59,480 --> 00:09:03,360 Speaker 3: they're really just making big bets on companies and you know, 171 00:09:03,600 --> 00:09:06,120 Speaker 3: keeping this really really concentrated portfolio. 172 00:09:06,960 --> 00:09:09,840 Speaker 2: They have some other stocks in here that people probably know, 173 00:09:09,920 --> 00:09:14,600 Speaker 2: like Hyatt MSCI, which is an index company, Veil Resorts, 174 00:09:15,559 --> 00:09:19,280 Speaker 2: Charles Schwab fact Set, which is a Bloomberg competitor, but 175 00:09:19,640 --> 00:09:21,520 Speaker 2: not all big weights. So those are two three percent 176 00:09:21,559 --> 00:09:24,720 Speaker 2: of the portfolio. Like you said, half the fund is 177 00:09:24,760 --> 00:09:26,760 Speaker 2: basically Elon. I mean, they might as well call it 178 00:09:26,760 --> 00:09:28,920 Speaker 2: the Elon Musk fan Club fund. 179 00:09:31,040 --> 00:09:34,720 Speaker 3: This this isn't This fund doesn't have to It's kind 180 00:09:34,760 --> 00:09:37,040 Speaker 3: of a I wouldn't say, go anywhere fund, but it's 181 00:09:37,080 --> 00:09:39,320 Speaker 3: not you know, a large cap. It kind of can 182 00:09:39,360 --> 00:09:43,840 Speaker 3: invest in any companies it wants, basically, So I think 183 00:09:43,880 --> 00:09:47,319 Speaker 3: that's a benefit. It's not really put into one little 184 00:09:47,360 --> 00:09:50,720 Speaker 3: category that it must be one specific benchmark. It kind 185 00:09:50,720 --> 00:09:54,200 Speaker 3: of just invest in what they want and it's worked 186 00:09:54,200 --> 00:09:54,839 Speaker 3: for them so far. 187 00:09:55,960 --> 00:09:59,040 Speaker 1: Interesting to get that SpaceX exposure to you like, that's 188 00:09:59,080 --> 00:10:03,920 Speaker 1: not we wouldn't see that in a ETF easily. I 189 00:10:03,920 --> 00:10:05,000 Speaker 1: don't think, Eric right. 190 00:10:05,480 --> 00:10:08,160 Speaker 2: No, I have to look at this, but I believe it. 191 00:10:08,240 --> 00:10:11,160 Speaker 2: David could correct me. Mutual funds can dabble in private 192 00:10:11,200 --> 00:10:13,679 Speaker 2: equity a little bit. They can't go full on. I 193 00:10:14,280 --> 00:10:17,240 Speaker 2: forget the percentage, but like, there are definitely some Fidelity 194 00:10:17,280 --> 00:10:19,320 Speaker 2: funds that have a little bit of private equity in there, 195 00:10:19,360 --> 00:10:20,160 Speaker 2: like little doses. 196 00:10:20,960 --> 00:10:23,920 Speaker 3: Yeah, no, they their mutual funds can hold private companies. 197 00:10:24,000 --> 00:10:27,840 Speaker 3: Just the interesting thing is every mutual fund will value 198 00:10:28,080 --> 00:10:31,400 Speaker 3: their private companies differently, so they'll place a different value 199 00:10:31,440 --> 00:10:33,880 Speaker 3: than than a different mutual fund will place on the 200 00:10:33,880 --> 00:10:36,520 Speaker 3: same company. So it kind of is hard if you're 201 00:10:36,520 --> 00:10:39,880 Speaker 3: looking at their holding to determine the exact value. So 202 00:10:39,920 --> 00:10:42,400 Speaker 3: you kind of just have to go with what they say. 203 00:10:43,280 --> 00:10:45,280 Speaker 3: But they seem to be a big fan of Elon 204 00:10:45,360 --> 00:10:46,800 Speaker 3: and they're they're going with it right now. 205 00:10:47,640 --> 00:10:50,839 Speaker 1: Okay, so we mentioned Fidelity briefly there. I also want 206 00:10:50,840 --> 00:10:54,000 Speaker 1: to bring that in because you had some interesting research 207 00:10:54,040 --> 00:10:57,840 Speaker 1: about how fidelities active equity managers have performed. How have 208 00:10:57,880 --> 00:10:58,400 Speaker 1: they been doing. 209 00:10:59,120 --> 00:11:00,600 Speaker 2: They've been doing pretty well. 210 00:11:00,880 --> 00:11:04,080 Speaker 3: I do want to mention first though, that actually over 211 00:11:04,200 --> 00:11:07,839 Speaker 3: five years, there were two Fidelity funds that outperform the 212 00:11:07,880 --> 00:11:12,680 Speaker 3: QQQ Fidelity Series Growth Opportunity or Growth Company and Fidelity 213 00:11:12,720 --> 00:11:16,400 Speaker 3: Advisor Growth Opportunities. And so those those two funds were 214 00:11:16,440 --> 00:11:18,560 Speaker 3: able to perform over five years. But if you're looking 215 00:11:18,600 --> 00:11:23,200 Speaker 3: at all fidelities active equity managers, we did a study 216 00:11:23,200 --> 00:11:26,440 Speaker 3: and it looked like about approximately fifty percent have outperformed 217 00:11:26,440 --> 00:11:30,280 Speaker 3: their benchmarks. And that's taken in into account sector funds 218 00:11:30,280 --> 00:11:32,959 Speaker 3: against their primary benchmarks, which are which is the S 219 00:11:33,000 --> 00:11:36,079 Speaker 3: and P five hundred. But then actually when you remove 220 00:11:36,160 --> 00:11:40,120 Speaker 3: the sector funds, their active managers do even better. And 221 00:11:40,240 --> 00:11:43,040 Speaker 3: so they're they're doing pretty well for themselves. And you know, 222 00:11:43,080 --> 00:11:45,160 Speaker 3: it's a big company, and you know, they've got a 223 00:11:45,160 --> 00:11:47,760 Speaker 3: great program where they train analysts from the ground up 224 00:11:47,960 --> 00:11:51,040 Speaker 3: that eventually become their PMS, and so a lot of 225 00:11:51,040 --> 00:11:53,199 Speaker 3: them are doing well. And one thing I did notice 226 00:11:53,240 --> 00:11:55,320 Speaker 3: with a lot of the growth stocks, they had a 227 00:11:55,320 --> 00:11:58,360 Speaker 3: lot of exposure to Navidia and in fact, I think 228 00:11:58,360 --> 00:12:00,880 Speaker 3: they were the third largest holder of Navidio, which is 229 00:12:00,880 --> 00:12:03,360 Speaker 3: I covered in a different note, which is really driven 230 00:12:03,400 --> 00:12:04,640 Speaker 3: a lot of their gains this year. 231 00:12:05,840 --> 00:12:08,960 Speaker 2: Again, latching onto a juggernaut stock seems to be key 232 00:12:09,160 --> 00:12:12,440 Speaker 2: for pms at least in this era, versus finding like 233 00:12:12,520 --> 00:12:15,760 Speaker 2: a value play. Yeah, you're right. They're the third biggest 234 00:12:15,760 --> 00:12:19,520 Speaker 2: holder after Vanguard and black Rock and bigger than State Streets. 235 00:12:19,559 --> 00:12:22,240 Speaker 2: So they definitely overweight. The other thing about Fidelity, it's interesting. 236 00:12:22,400 --> 00:12:25,480 Speaker 2: Obviously they have this famous name for active, but they 237 00:12:25,480 --> 00:12:27,560 Speaker 2: haven't done a ton in the ETF world, and you 238 00:12:27,600 --> 00:12:30,720 Speaker 2: know they're active mutual funds. Some see inflows, some see outflows, 239 00:12:30,720 --> 00:12:32,920 Speaker 2: but where they get most of their flows these days 240 00:12:33,240 --> 00:12:36,120 Speaker 2: is in their index mutual funds, which now have over 241 00:12:36,200 --> 00:12:40,320 Speaker 2: a trillion dollars roll. If Fidelity converted all of its 242 00:12:40,400 --> 00:12:42,840 Speaker 2: index mutual funds into ETFs, they'd be bigger than State 243 00:12:42,880 --> 00:12:45,920 Speaker 2: Street in terms of assets. So they have a lot 244 00:12:45,960 --> 00:12:48,360 Speaker 2: going on. They're just they're a private company. You don't 245 00:12:48,400 --> 00:12:50,920 Speaker 2: hear a ton about them anymore, but I think we're 246 00:12:50,920 --> 00:12:53,400 Speaker 2: gonna hear big things. I think they're gonna try to 247 00:12:53,440 --> 00:12:55,840 Speaker 2: take some of what David found, these managers who are 248 00:12:55,840 --> 00:12:58,640 Speaker 2: bucking the trend. If you have over half being their benchmarks, 249 00:12:58,840 --> 00:13:00,840 Speaker 2: that's way better than the average, because the average about 250 00:13:00,880 --> 00:13:03,480 Speaker 2: a third. They're probably going to try to figure out 251 00:13:03,480 --> 00:13:06,160 Speaker 2: how to move that that brain power and that ip 252 00:13:06,280 --> 00:13:08,000 Speaker 2: into the ETF rapper. I think we're going to see 253 00:13:08,040 --> 00:13:11,000 Speaker 2: that happen over the next ten years from Fidelity and 254 00:13:11,080 --> 00:13:13,839 Speaker 2: many other companies. But Fidelity, with that track record, it 255 00:13:13,880 --> 00:13:15,760 Speaker 2: should help them a lot. I think their price point, 256 00:13:15,800 --> 00:13:18,480 Speaker 2: how they where they put the expense issio will matter. 257 00:13:18,559 --> 00:13:21,600 Speaker 2: But overall, if you can perform that consistently, you're going 258 00:13:21,640 --> 00:13:22,600 Speaker 2: to get looks. 259 00:13:29,440 --> 00:13:33,160 Speaker 1: Okay. So the irony here is obviously you've written a 260 00:13:33,160 --> 00:13:35,960 Speaker 1: book about Jack Bogel and what Jack Bogel did at Vanguard. 261 00:13:36,600 --> 00:13:42,679 Speaker 1: Fidelity not known for indexes or anything touching passive. So 262 00:13:42,679 --> 00:13:46,800 Speaker 1: so what stands out to you, Eric about how Fidelity 263 00:13:46,840 --> 00:13:48,160 Speaker 1: has found some success here. 264 00:13:49,280 --> 00:13:53,760 Speaker 2: I mean, honestly, Bogel relished this, he loved Fidelity used 265 00:13:53,800 --> 00:13:57,440 Speaker 2: to basically, you know, dump on passive back in the day. 266 00:13:58,400 --> 00:14:01,120 Speaker 2: I think I think they're the ones who say, would 267 00:14:01,120 --> 00:14:03,200 Speaker 2: you pay for an average surgeon if you were having 268 00:14:03,200 --> 00:14:06,760 Speaker 2: heart surgery? You know, an indexes like average. And there 269 00:14:06,840 --> 00:14:08,680 Speaker 2: was a lot of pushback on what Bogel was doing 270 00:14:08,720 --> 00:14:11,320 Speaker 2: back in the day, but Fidelity kind of came around 271 00:14:11,400 --> 00:14:13,480 Speaker 2: to their credit. They swallowed their pride and launched a 272 00:14:13,520 --> 00:14:16,679 Speaker 2: series of low cost index funds. And now when Fidelity 273 00:14:16,679 --> 00:14:19,240 Speaker 2: puts out a press release, they say, every single one 274 00:14:19,240 --> 00:14:21,640 Speaker 2: of our index funds is cheaper than the Vanguard equivalent, 275 00:14:21,720 --> 00:14:23,720 Speaker 2: and they are a lot of them are zero to 276 00:14:23,800 --> 00:14:27,640 Speaker 2: one to two basis points but Bogel loved this because 277 00:14:27,680 --> 00:14:29,480 Speaker 2: he wanted to change the whole game, not just how 278 00:14:29,560 --> 00:14:33,560 Speaker 2: Vanguard gets successful. So he would be happy that Fidelity 279 00:14:33,600 --> 00:14:36,240 Speaker 2: is seeing so much success in the low cost index 280 00:14:36,280 --> 00:14:38,960 Speaker 2: funds that they put out. But I think what blows 281 00:14:39,000 --> 00:14:41,840 Speaker 2: me away is that trillion dollars. That is a ton 282 00:14:41,880 --> 00:14:44,040 Speaker 2: of money that no one talks about because it's in 283 00:14:44,080 --> 00:14:49,240 Speaker 2: the mutual fund rapper. Again, if Fidelity was an ETF, 284 00:14:49,080 --> 00:14:51,920 Speaker 2: if all those index mutual funds were ETFs, Fidelity be 285 00:14:51,960 --> 00:14:54,760 Speaker 2: the talk of the town. David, speaking of fees, one 286 00:14:54,880 --> 00:14:57,080 Speaker 2: other note you did that we sort of collaborated on 287 00:14:57,120 --> 00:15:00,440 Speaker 2: to a degree, was you looked at flows and mutual 288 00:15:00,520 --> 00:15:03,920 Speaker 2: funds based on expense ratio buckets, just to see if 289 00:15:03,920 --> 00:15:07,560 Speaker 2: there was a connection between that, because you know what's 290 00:15:07,560 --> 00:15:10,520 Speaker 2: more important now if you're active, your performance or your fee, 291 00:15:10,720 --> 00:15:12,800 Speaker 2: And just tell me what you found when you look 292 00:15:12,840 --> 00:15:13,040 Speaker 2: at that. 293 00:15:13,880 --> 00:15:18,200 Speaker 3: So I separated mutual funds into three feed buckets under 294 00:15:18,240 --> 00:15:22,440 Speaker 3: forty basis points, between forty and eighty basis points, and 295 00:15:22,560 --> 00:15:26,800 Speaker 3: over eighty basis points. And similar to findings that Eric 296 00:15:26,840 --> 00:15:29,400 Speaker 3: and the rest of our team have found on the 297 00:15:29,400 --> 00:15:32,840 Speaker 3: ETF side, if you look at mutual funds under forty 298 00:15:32,840 --> 00:15:36,080 Speaker 3: basis points, they're seeing better flows than the rest of 299 00:15:37,120 --> 00:15:39,560 Speaker 3: you know, than the rest of their counterparts or peers. 300 00:15:40,000 --> 00:15:43,920 Speaker 3: So on the equity side, it's more of less outflows. 301 00:15:44,320 --> 00:15:48,440 Speaker 3: So equity mutual funds are still seeing significant outflows, but 302 00:15:48,560 --> 00:15:50,960 Speaker 3: once you drop down to below forty basis points, the 303 00:15:51,000 --> 00:15:54,480 Speaker 3: outflows is considerably less than the other two buckets. On 304 00:15:54,520 --> 00:15:57,600 Speaker 3: the fixed income side, it was actually seeing a lot 305 00:15:57,640 --> 00:16:02,320 Speaker 3: more inflows. So fixed income mutual fun low with under 306 00:16:02,320 --> 00:16:05,400 Speaker 3: forty basis points are seeing a ton of flows compared 307 00:16:05,760 --> 00:16:08,720 Speaker 3: but once you go over forty or even over eighty, 308 00:16:09,000 --> 00:16:13,560 Speaker 3: it's disastrous on both the equity and the fixed income side. 309 00:16:13,960 --> 00:16:16,760 Speaker 2: And so this completely is intugual with what we've done 310 00:16:16,800 --> 00:16:20,440 Speaker 2: on the ETF side. Research wise, active ETFs are finally 311 00:16:20,480 --> 00:16:23,480 Speaker 2: having their day. It took them ten years, but it 312 00:16:23,520 --> 00:16:26,280 Speaker 2: wasn't until they got cheap and forty basis points appears 313 00:16:26,280 --> 00:16:29,600 Speaker 2: to be some kind of a magic number for advisors 314 00:16:29,640 --> 00:16:33,000 Speaker 2: because ninety five percent of the flows into active ETFs, 315 00:16:33,280 --> 00:16:37,680 Speaker 2: which are massive these days, is into ETFs under forty 316 00:16:37,720 --> 00:16:40,680 Speaker 2: BIPs that are active. It's so only and they only 317 00:16:40,680 --> 00:16:42,960 Speaker 2: make up twenty five percent of the products. So think 318 00:16:43,000 --> 00:16:45,520 Speaker 2: about that that's punching way above its weight. It's very clear. 319 00:16:46,120 --> 00:16:49,160 Speaker 2: My theory on all this, and we've gone I thought 320 00:16:49,200 --> 00:16:51,400 Speaker 2: about this heavily and it's kind of our equals MC 321 00:16:51,480 --> 00:16:55,280 Speaker 2: squared is you have to now beta adjust your fees 322 00:16:55,320 --> 00:16:58,440 Speaker 2: if you're active. So what do I mean by that beta? 323 00:16:58,480 --> 00:17:00,520 Speaker 2: Which is just owning the whole market? And an index 324 00:17:00,560 --> 00:17:03,720 Speaker 2: fund is free. So if you own a lot of beta, 325 00:17:03,960 --> 00:17:06,639 Speaker 2: like I'm talking Apple, Microsoft, if that's the top of 326 00:17:06,640 --> 00:17:09,160 Speaker 2: your portfolio and you're beta heavy, you have to lower 327 00:17:09,200 --> 00:17:11,400 Speaker 2: your fee because an advisor's like, well I can get 328 00:17:11,400 --> 00:17:13,119 Speaker 2: most of that for free, Now why am I going 329 00:17:13,160 --> 00:17:17,720 Speaker 2: to pay you one percent? So as you have a 330 00:17:17,760 --> 00:17:20,840 Speaker 2: fund a manager that's close to the index, if they 331 00:17:20,880 --> 00:17:23,639 Speaker 2: come down and fee and that way they sort of 332 00:17:23,640 --> 00:17:27,439 Speaker 2: beta adjust their fees. I think that in advisors like, well, okay, 333 00:17:27,640 --> 00:17:31,080 Speaker 2: you're just charging me for the active And that's why 334 00:17:31,160 --> 00:17:32,879 Speaker 2: we say you have to be either cheap or shiny 335 00:17:32,920 --> 00:17:35,760 Speaker 2: if you're active. If you want to charge seventy one 336 00:17:35,840 --> 00:17:38,040 Speaker 2: hundred basis points, you've got to be baron funds or arc. 337 00:17:38,080 --> 00:17:40,560 Speaker 2: You got to go hog wild and swing for the 338 00:17:40,560 --> 00:17:43,239 Speaker 2: fences like Babe Ruth and there, because there you can 339 00:17:43,240 --> 00:17:45,360 Speaker 2: actually double or triple the S and P and not 340 00:17:45,440 --> 00:17:47,720 Speaker 2: just beat up by two three percent. But if you're 341 00:17:47,760 --> 00:17:49,679 Speaker 2: one of these managers looking for a little bit of 342 00:17:49,680 --> 00:17:53,479 Speaker 2: excess return beyond the benchmark, I just think that beta 343 00:17:53,520 --> 00:17:56,600 Speaker 2: being free is such a massive innovation that Bogel and 344 00:17:56,680 --> 00:17:59,840 Speaker 2: Vanguard brought along over the last forty years. You have 345 00:17:59,880 --> 00:18:02,080 Speaker 2: to adjust to that, and I think the mutual funds 346 00:18:02,080 --> 00:18:03,560 Speaker 2: show it, and the ETFs really show it. 347 00:18:03,960 --> 00:18:06,720 Speaker 1: Okay, Dave, you got another note where you looked at 348 00:18:06,880 --> 00:18:12,480 Speaker 1: fact a factor, particularly quality and the stock picking in 349 00:18:12,520 --> 00:18:14,080 Speaker 1: small caps. Would you would you learn there? 350 00:18:14,920 --> 00:18:17,879 Speaker 3: Well, it's actually interesting because a lot of the funds 351 00:18:17,880 --> 00:18:20,600 Speaker 3: I noticed that did upperform the QQQ. They took on 352 00:18:20,680 --> 00:18:23,119 Speaker 3: a lot more risk. But this is actually on the 353 00:18:23,160 --> 00:18:27,359 Speaker 3: opposite side. This is a as you know, most small 354 00:18:27,359 --> 00:18:30,480 Speaker 3: caps are underperforming large caps for a big part of 355 00:18:30,480 --> 00:18:34,000 Speaker 3: the year, and but this fund, that's the Ker Small 356 00:18:34,040 --> 00:18:38,040 Speaker 3: Cap Fund, they have a quality factor type approach where 357 00:18:38,040 --> 00:18:42,480 Speaker 3: they're looking for reality quality type companies and so they've 358 00:18:42,480 --> 00:18:45,080 Speaker 3: been able to do that keep their risks down and outperform. 359 00:18:45,560 --> 00:18:47,679 Speaker 3: But one thing I do want to mention about this fund, 360 00:18:48,040 --> 00:18:51,959 Speaker 3: like Barons, it's a concentrated fund. It just instead of 361 00:18:52,400 --> 00:18:54,959 Speaker 3: the high flyers. This is much more of a you know, 362 00:18:55,400 --> 00:18:57,879 Speaker 3: better for companies that would be considered part of the 363 00:18:57,960 --> 00:19:02,280 Speaker 3: quality factor, great balance sheet, it's just really good companies. 364 00:19:02,320 --> 00:19:06,080 Speaker 3: But they're basically making massive bets on a few companies. 365 00:19:06,480 --> 00:19:09,320 Speaker 1: I'm sensing a theme here like concentration and quality. 366 00:19:09,920 --> 00:19:13,040 Speaker 3: Yeah, it's you know, definitely concentration does work, but I 367 00:19:13,080 --> 00:19:16,720 Speaker 3: actually wrote another note that it doesn't always work. It 368 00:19:17,119 --> 00:19:20,280 Speaker 3: really depends on the manager. If a manager has skill 369 00:19:20,760 --> 00:19:23,400 Speaker 3: and they know what they're doing, and they really pick 370 00:19:23,480 --> 00:19:27,120 Speaker 3: great stocks, concentration can do great things. But if you're 371 00:19:27,200 --> 00:19:31,880 Speaker 3: just concentrating a portfolio just for the sake of it, 372 00:19:31,080 --> 00:19:33,800 Speaker 3: it brings on a lot of risk and a lot 373 00:19:33,800 --> 00:19:35,960 Speaker 3: of loss, and a lot of mutual funds of it 374 00:19:36,160 --> 00:19:39,800 Speaker 3: that are just concentrated and really don't have the best 375 00:19:39,840 --> 00:19:41,880 Speaker 3: teams are really faltering. 376 00:19:42,080 --> 00:19:44,200 Speaker 2: Yeah, Joe, when I said, Earl, you got to be 377 00:19:44,280 --> 00:19:48,520 Speaker 2: cheap or shiny. If you're cheap, it's almost less performance sensitive. 378 00:19:48,560 --> 00:19:51,200 Speaker 2: Like you could be a low cost stock picker who 379 00:19:51,280 --> 00:19:54,600 Speaker 2: charges like DFA or Vantis or JP Morgan who charges 380 00:19:54,680 --> 00:19:57,520 Speaker 2: like twenty five basis points to invest in small cat 381 00:19:57,560 --> 00:20:00,879 Speaker 2: value and just the fee alone, you'll get some interest, 382 00:20:01,600 --> 00:20:05,120 Speaker 2: but if your high fee and high concentration it's not enough, 383 00:20:05,160 --> 00:20:08,000 Speaker 2: you then have to perform. So I think ARC is 384 00:20:08,040 --> 00:20:11,080 Speaker 2: a great example. Some thematic ETFs are good examples of that, 385 00:20:11,440 --> 00:20:14,840 Speaker 2: and this kar is a good example. Also. I think 386 00:20:14,880 --> 00:20:17,720 Speaker 2: that in the small cap space that's an interesting spot 387 00:20:17,760 --> 00:20:19,639 Speaker 2: for active because if you look at the number of 388 00:20:19,680 --> 00:20:22,600 Speaker 2: analysts that cover like certain large cap stocks like Amazon, 389 00:20:22,960 --> 00:20:25,480 Speaker 2: it's in like the fifties, right, And then you get 390 00:20:25,480 --> 00:20:27,560 Speaker 2: down to small caps, some stocks aren't covered at all 391 00:20:27,800 --> 00:20:31,040 Speaker 2: or barely, so there's probably more opportunity for someone to 392 00:20:31,080 --> 00:20:35,200 Speaker 2: find something novel. Right. There's less information on all these 393 00:20:35,240 --> 00:20:39,320 Speaker 2: companies that everybody knows, so I'm not totally surprised that 394 00:20:39,400 --> 00:20:41,600 Speaker 2: this manager found a niche down here. But again, this 395 00:20:41,680 --> 00:20:43,880 Speaker 2: is why David was hired, was to sort of dig 396 00:20:43,920 --> 00:20:48,920 Speaker 2: into all these managers. Again, there's almost double as many 397 00:20:48,960 --> 00:20:51,879 Speaker 2: mutual funds as ETFs, you know, and to find some 398 00:20:52,000 --> 00:20:53,639 Speaker 2: of the diamonds in the rough. And I think this 399 00:20:53,680 --> 00:20:58,040 Speaker 2: is a good example speaking of diamonds in the rough 400 00:20:58,080 --> 00:21:01,080 Speaker 2: and finding exotic species. This last one is a good 401 00:21:01,400 --> 00:21:03,600 Speaker 2: just a great one to end on. When David showed 402 00:21:03,600 --> 00:21:08,359 Speaker 2: me this fund, I never heard of it. I was like, WTF, 403 00:21:08,520 --> 00:21:10,800 Speaker 2: I can't say the whole thing, so let's give the acronym. 404 00:21:11,160 --> 00:21:15,080 Speaker 2: And I never seen anything like this. I'll just introduce 405 00:21:15,119 --> 00:21:18,360 Speaker 2: it as that and say, David, talk to me about. 406 00:21:18,040 --> 00:21:22,520 Speaker 3: Fairholme Film is one of the more interesting funds I've 407 00:21:22,560 --> 00:21:25,479 Speaker 3: ever seen in all the years I've covered mutual funds. 408 00:21:26,760 --> 00:21:29,960 Speaker 3: This fund has a or according to our data, a 409 00:21:30,119 --> 00:21:33,560 Speaker 3: ninety one percent allocation to a real estate company called 410 00:21:33,640 --> 00:21:38,119 Speaker 3: Saint Joe. And so this is just a this is 411 00:21:38,200 --> 00:21:42,800 Speaker 3: extreme concentration. It makes Baron Funds look like a you know, 412 00:21:42,960 --> 00:21:46,920 Speaker 3: portfolio of five hundred stocks. I mean, it's just and 413 00:21:47,000 --> 00:21:50,359 Speaker 3: you know, I originally thought this made it not qualify 414 00:21:50,520 --> 00:21:54,320 Speaker 3: as a regulated investment company just due to tax issues, 415 00:21:54,359 --> 00:21:58,320 Speaker 3: and you know whether they could claim that, but apparently 416 00:21:58,520 --> 00:22:01,159 Speaker 3: the there's a threshold of about twenty five percent that 417 00:22:01,200 --> 00:22:04,879 Speaker 3: you can't go above. But apparently that's during purchases. So 418 00:22:05,040 --> 00:22:07,800 Speaker 3: if your purchase is under the twenty five percent and 419 00:22:07,840 --> 00:22:11,399 Speaker 3: then you let that stock grow continuously, it can go 420 00:22:11,560 --> 00:22:13,919 Speaker 3: up to ninety percent or so, it can go up 421 00:22:13,960 --> 00:22:16,439 Speaker 3: to one hundred percent if you wanted to. It's just 422 00:22:17,000 --> 00:22:20,840 Speaker 3: not very traditional. I'd say it's definitely out of the ordinary. 423 00:22:20,880 --> 00:22:23,960 Speaker 3: But I mean they posted a return of thirty one 424 00:22:24,040 --> 00:22:29,119 Speaker 3: point three percent last month, which is pretty ridiculous, pretty impressive. 425 00:22:30,320 --> 00:22:32,119 Speaker 3: But with a fun like this, you're going to have 426 00:22:32,160 --> 00:22:34,919 Speaker 3: extreme risk as well, and you know they're likely not 427 00:22:34,960 --> 00:22:37,280 Speaker 3: going to perform like that every month. It's going to 428 00:22:37,320 --> 00:22:39,720 Speaker 3: go back and forth. And I think if you own this, 429 00:22:40,400 --> 00:22:43,840 Speaker 3: you really need to not pay attention to it. You 430 00:22:43,920 --> 00:22:45,920 Speaker 3: need to kind of look at it over the long term. 431 00:22:46,000 --> 00:22:47,480 Speaker 3: It kind of just let it sit there, or else 432 00:22:47,520 --> 00:22:50,040 Speaker 3: you're going to have a heart attack. Wait, what is 433 00:22:50,080 --> 00:22:53,120 Speaker 3: that holding though it's well, the main stock right now 434 00:22:53,160 --> 00:22:56,040 Speaker 3: is a real estate company called Saint Joe that's really benefiting, 435 00:22:56,600 --> 00:22:58,680 Speaker 3: you know, due to real estate prices in Florida. 436 00:22:59,560 --> 00:23:03,959 Speaker 2: Hold on, Joel, this is very important. It's not just Florida. 437 00:23:04,080 --> 00:23:07,160 Speaker 2: It's the Panhandle, where as you know, my dad lives 438 00:23:07,160 --> 00:23:08,919 Speaker 2: and I visit all the time and tell you I'm 439 00:23:08,960 --> 00:23:13,080 Speaker 2: going to live someday because it's so beautiful, emerald green water, 440 00:23:13,800 --> 00:23:16,840 Speaker 2: white sands that are so fine to the foot, it's clean, 441 00:23:17,680 --> 00:23:21,679 Speaker 2: there's no taxes, and so this manager, it's almost as 442 00:23:21,720 --> 00:23:23,679 Speaker 2: if he used this stock to buy a bunch of 443 00:23:23,760 --> 00:23:26,119 Speaker 2: land in a place in America. He thinks he's going 444 00:23:26,200 --> 00:23:28,360 Speaker 2: to go up because even the manager's like, I want 445 00:23:28,359 --> 00:23:30,280 Speaker 2: to move there and drive a golf cart around every day. 446 00:23:30,400 --> 00:23:31,720 Speaker 2: And I'm like, oh my god, this guy has the 447 00:23:31,760 --> 00:23:34,439 Speaker 2: same life vision as me, so I can relate to. 448 00:23:34,520 --> 00:23:39,760 Speaker 2: This is just this amazing, long, long game trade to 449 00:23:39,880 --> 00:23:42,560 Speaker 2: own land in Florida through a mutual fund that owns 450 00:23:42,560 --> 00:23:44,200 Speaker 2: one stock. It's just so bizarre. 451 00:23:44,440 --> 00:23:48,720 Speaker 1: We've gone almost five years or so without Eric talking 452 00:23:48,800 --> 00:23:51,280 Speaker 1: his book, and then he finally broke down and talked 453 00:23:51,320 --> 00:23:51,760 Speaker 1: his book. 454 00:23:52,720 --> 00:23:55,679 Speaker 2: So Joel. While the Fair Home Fund, even with everything 455 00:23:55,720 --> 00:23:57,880 Speaker 2: we just said, while it did not beat the QQQ, 456 00:23:58,080 --> 00:24:01,159 Speaker 2: obviously only Baron did that, it was up almost as 457 00:24:01,200 --> 00:24:03,080 Speaker 2: much as the cues over the past five years, and 458 00:24:03,200 --> 00:24:05,560 Speaker 2: obviously beat the S and P by a lot. But 459 00:24:05,600 --> 00:24:07,800 Speaker 2: what's interesting is if you look at this fund in 460 00:24:07,840 --> 00:24:10,639 Speaker 2: its peer group, it's beat nine to nine percent of 461 00:24:10,680 --> 00:24:13,119 Speaker 2: its peers pretty much five to three one year and 462 00:24:13,320 --> 00:24:17,960 Speaker 2: year to date. Again, it's very rare to see a fund, 463 00:24:18,440 --> 00:24:21,200 Speaker 2: you know, register in the high nineties like this, so Joel, 464 00:24:21,280 --> 00:24:22,920 Speaker 2: I think the lesson here in a lot of these 465 00:24:22,960 --> 00:24:25,399 Speaker 2: funds today is if you want to be at the 466 00:24:25,400 --> 00:24:28,199 Speaker 2: top of the heap and be able to charge a 467 00:24:28,240 --> 00:24:32,119 Speaker 2: decent fee. You know, as Prince says, let's go crazy, 468 00:24:32,119 --> 00:24:33,000 Speaker 2: you got to get wild. 469 00:24:33,960 --> 00:24:38,359 Speaker 1: Yeah, sure, I'll take that. David. I got to ask, 470 00:24:38,440 --> 00:24:42,919 Speaker 1: if we've got as much exposure to Florida Panhandle, what 471 00:24:43,080 --> 00:24:44,520 Speaker 1: else does he have in the portfolio? 472 00:24:45,480 --> 00:24:50,280 Speaker 3: Only a few other stocks. Enterprise Products Partners, Commercial Metal 473 00:24:50,320 --> 00:24:56,000 Speaker 3: Company is actually a Fidelity Treasury fund. It's also part 474 00:24:56,000 --> 00:24:58,960 Speaker 3: of the portfolio. But these are all very He's also 475 00:24:59,000 --> 00:25:00,800 Speaker 3: got Treasury bills in there as well, but these are 476 00:25:00,800 --> 00:25:04,120 Speaker 3: all tiny allocations. It's just really long. 477 00:25:05,320 --> 00:25:09,280 Speaker 1: Yeah, long Panhandle. All right, Dave, we got one more 478 00:25:09,400 --> 00:25:12,680 Speaker 1: question for you. It's a it's a it's a great 479 00:25:12,720 --> 00:25:16,240 Speaker 1: finale question. We ask many a guest on Trillions, which is, 480 00:25:16,680 --> 00:25:21,840 Speaker 1: what is your favorite et F ticker? Favorite et F Yeah, ticker. 481 00:25:21,920 --> 00:25:25,119 Speaker 3: Oh that's a good question. 482 00:25:25,440 --> 00:25:27,880 Speaker 1: I know, I know. This is like I'm bringing I'm 483 00:25:27,880 --> 00:25:28,640 Speaker 1: bringing you the heater. 484 00:25:32,280 --> 00:25:35,359 Speaker 3: I would just say vt I because I want to 485 00:25:35,359 --> 00:25:36,280 Speaker 3: grab the whole market. 486 00:25:36,800 --> 00:25:43,320 Speaker 1: Yeah, all right, bullets, Yeah a good, all good, All right, Dave, 487 00:25:43,320 --> 00:25:45,439 Speaker 1: thanks for joining us on Trillions. Well, thanks for having me, 488 00:25:49,680 --> 00:25:52,080 Speaker 1: Thanks for listening to Trillions. Until next time, you can 489 00:25:52,080 --> 00:25:56,280 Speaker 1: find us on the Bloomberg terminal. Bloomberg dot com, Apple Podcasts, Spotify, 490 00:25:56,720 --> 00:25:59,359 Speaker 1: or wherever else you like to listen. We'd love to 491 00:25:59,400 --> 00:26:02,480 Speaker 1: hear from you. We're on X, I'm at Joel Webber Show, 492 00:26:02,800 --> 00:26:07,000 Speaker 1: He's at Eric Baltunas. Trillions is produced by Magnus Hendrickson. 493 00:26:07,960 --> 00:26:11,879 Speaker 1: Sage Bauman is the head of Bloomberg podcast Bye.