1 00:00:00,440 --> 00:00:02,960 Speaker 1: This is Bloomberg Business Week. I'm Carol Masser and I'm 2 00:00:03,040 --> 00:00:05,480 Speaker 1: Jason Kelly. We're here every day bringing you the latest 3 00:00:05,519 --> 00:00:09,800 Speaker 1: news from the world's of business and finance, plus technology, politics, economics, 4 00:00:09,880 --> 00:00:13,480 Speaker 1: all harnessing the power of Bloomberg Business Week reporters and editors, 5 00:00:13,480 --> 00:00:16,759 Speaker 1: not to mention our journalists and analysts more than a 6 00:00:16,800 --> 00:00:19,520 Speaker 1: hundred and twenty countries. You can download Bloomberg Business Week 7 00:00:19,560 --> 00:00:22,439 Speaker 1: on iTunes, SoundCloud, or Bloomberg dot Com. You can also 8 00:00:22,480 --> 00:00:24,919 Speaker 1: listen to our radio show weekdays at two pm Eastern 9 00:00:25,000 --> 00:00:33,159 Speaker 1: only on Bloomberg Radio. We're gonna roll around, all right, 10 00:00:33,200 --> 00:00:35,520 Speaker 1: So let's talk a little Tesla. We do it often. 11 00:00:35,960 --> 00:00:37,960 Speaker 1: We're also very fortunate that we get to do it 12 00:00:38,040 --> 00:00:40,920 Speaker 1: pretty often with Dana Hall. She follows the company so closely, 13 00:00:41,520 --> 00:00:44,280 Speaker 1: and the headline on the story today that she wrote 14 00:00:44,280 --> 00:00:47,320 Speaker 1: with Gabby Coppola really sums it up. Tesla Capital Raise 15 00:00:47,640 --> 00:00:53,640 Speaker 1: keeps fourteen billion dollar virtuous circle rolling. It certainly does. 16 00:00:53,880 --> 00:00:56,080 Speaker 1: And Dana, one of the things that struck me, and 17 00:00:56,120 --> 00:00:58,760 Speaker 1: you just nail it right there at the top of 18 00:00:58,760 --> 00:01:02,280 Speaker 1: your story is normally, in this sort of situation, you 19 00:01:02,280 --> 00:01:04,080 Speaker 1: would look at a company saying, oh, we gotta go 20 00:01:04,120 --> 00:01:07,000 Speaker 1: get more money. As a little bit of a problem, 21 00:01:07,280 --> 00:01:09,840 Speaker 1: we're diluting shareholders. That's a little bit of a problem. 22 00:01:09,920 --> 00:01:13,520 Speaker 1: And yet, and yet this is Tesla. Tesla does not 23 00:01:13,640 --> 00:01:17,120 Speaker 1: go the way that people normally expect. Help us understand 24 00:01:17,120 --> 00:01:19,360 Speaker 1: the context here, Yeah, I mean, I think what you're 25 00:01:19,360 --> 00:01:21,760 Speaker 1: seeing now is that, you know, it's always about the future, 26 00:01:21,840 --> 00:01:24,880 Speaker 1: right Elon Musk is always selling this vision of the future. 27 00:01:25,080 --> 00:01:28,160 Speaker 1: And now that they seem to have mastered you know, 28 00:01:28,200 --> 00:01:31,440 Speaker 1: the past challenges of actually getting the Model three out 29 00:01:31,480 --> 00:01:34,120 Speaker 1: the door, the share price is really high. You know, 30 00:01:34,240 --> 00:01:36,280 Speaker 1: the idea of them going out and getting money so 31 00:01:36,280 --> 00:01:38,800 Speaker 1: that they can do things like build out this plant 32 00:01:38,959 --> 00:01:43,560 Speaker 1: in Berlin or perhaps another plant in Texas seems more doable. 33 00:01:43,600 --> 00:01:45,280 Speaker 1: So people are more than willing to kind of fund 34 00:01:45,280 --> 00:01:47,560 Speaker 1: the vision of the future, and the banks get fees, 35 00:01:47,600 --> 00:01:51,000 Speaker 1: and you know, everyone sort of wins out. Dan, I'm 36 00:01:51,000 --> 00:01:54,000 Speaker 1: also wondering if Gene Munster puts this correctly, as you 37 00:01:54,160 --> 00:01:56,920 Speaker 1: right in your story where you say you know Elong 38 00:01:57,040 --> 00:02:00,720 Speaker 1: had a shirt investors, he didn't plan to r capital. 39 00:02:01,480 --> 00:02:04,600 Speaker 1: His backpeddaling is a criticism, but frankly, the state of 40 00:02:04,640 --> 00:02:07,920 Speaker 1: the balance sheet is a bigger criticism. So perhaps this 41 00:02:08,000 --> 00:02:10,360 Speaker 1: is scene is a good thing because it could shore 42 00:02:10,440 --> 00:02:13,239 Speaker 1: up the balance sheet. Yeah, I mean, and some and 43 00:02:13,280 --> 00:02:15,520 Speaker 1: some analysts like David Whiston and morning Star, they just 44 00:02:15,560 --> 00:02:17,359 Speaker 1: wish that Tesla would go out and raise like five 45 00:02:17,400 --> 00:02:19,240 Speaker 1: billion dollars and be done with it, like and just 46 00:02:19,360 --> 00:02:21,800 Speaker 1: raise a ton of money and then and and be said, 47 00:02:21,800 --> 00:02:23,639 Speaker 1: instead of having to go back to the market sort 48 00:02:23,639 --> 00:02:25,400 Speaker 1: of year after year. But it is kind of funny, 49 00:02:25,720 --> 00:02:27,919 Speaker 1: how you know, just on their earnings called two weeks ago, 50 00:02:28,720 --> 00:02:30,960 Speaker 1: Musk was asked very specifically, do you have any plans 51 00:02:30,960 --> 00:02:33,200 Speaker 1: to do a raise? And he's like no, And then 52 00:02:33,320 --> 00:02:34,960 Speaker 1: you know, two weeks two weeks later, here we are. 53 00:02:35,000 --> 00:02:36,880 Speaker 1: This is the second time that he's done that. Actually, 54 00:02:36,960 --> 00:02:39,919 Speaker 1: so you know, people people are a little frustrated that, 55 00:02:40,120 --> 00:02:41,840 Speaker 1: you know that he says one thing is and then 56 00:02:41,880 --> 00:02:44,919 Speaker 1: they do the other. But from an investor perspective, having 57 00:02:44,960 --> 00:02:48,960 Speaker 1: money on hand is always a good thing. And so Dana, 58 00:02:49,240 --> 00:02:51,600 Speaker 1: you know, this is also a good moment to ask 59 00:02:51,639 --> 00:02:54,000 Speaker 1: you about sort of the state of Musk. You know, 60 00:02:54,040 --> 00:02:56,520 Speaker 1: we have a fairly good sense of the state of Tesla. 61 00:02:56,800 --> 00:03:00,280 Speaker 1: What do you sort of draw conclusion wise from looking 62 00:03:00,280 --> 00:03:03,200 Speaker 1: at the company right now? Looking at the decision making 63 00:03:03,360 --> 00:03:07,640 Speaker 1: and especially this amazing run where is sort of Elon's 64 00:03:07,680 --> 00:03:10,760 Speaker 1: mind as much as anybody can understand it outside of 65 00:03:10,760 --> 00:03:14,720 Speaker 1: his own head. Well, it's not like I'm talking to, 66 00:03:14,800 --> 00:03:17,639 Speaker 1: I'm talking against from the guy every day. I don't know, 67 00:03:18,000 --> 00:03:20,519 Speaker 1: I have not like interacted with him directly recently, but 68 00:03:21,200 --> 00:03:23,280 Speaker 1: you know, I think that this is a guy whose 69 00:03:23,520 --> 00:03:26,200 Speaker 1: entire career and much of the kind of mystique in 70 00:03:26,280 --> 00:03:30,560 Speaker 1: persona around him is built around him proving doubters wrong. 71 00:03:30,639 --> 00:03:34,920 Speaker 1: And so like the classic example is with SpaceX, they were, 72 00:03:35,040 --> 00:03:37,240 Speaker 1: you know, for for months they tried to like land 73 00:03:37,320 --> 00:03:39,160 Speaker 1: this rocket on a drone ship. No one thought they 74 00:03:39,160 --> 00:03:40,440 Speaker 1: were ever going to be able to pull it off, 75 00:03:40,480 --> 00:03:42,800 Speaker 1: and now they've not only have they done it several times, 76 00:03:42,840 --> 00:03:45,000 Speaker 1: but it's kind of become old hat like most you know, 77 00:03:45,040 --> 00:03:47,960 Speaker 1: we don't even cover the drone ship landings anymore. And 78 00:03:48,000 --> 00:03:52,160 Speaker 1: with Tesla, like you know, the Model three, everyone questioned 79 00:03:52,200 --> 00:03:54,480 Speaker 1: what the demand would be like. When they started building 80 00:03:54,480 --> 00:03:57,000 Speaker 1: the factory in China, there were a lot of skeptics 81 00:03:57,000 --> 00:03:58,920 Speaker 1: who said that this mud pit would never turn into 82 00:03:58,960 --> 00:04:01,600 Speaker 1: a factory. And now like here they are like building 83 00:04:01,640 --> 00:04:07,880 Speaker 1: cars in China, and so I think he feels probably emboldened. Um, certainly. Um. 84 00:04:07,920 --> 00:04:10,160 Speaker 1: You know, he has a very long kind of time 85 00:04:10,200 --> 00:04:13,840 Speaker 1: horizon and so people always ding him for being laid 86 00:04:13,880 --> 00:04:17,360 Speaker 1: on his promises, but he ultimately does tend to deliver 87 00:04:17,480 --> 00:04:19,560 Speaker 1: on them, Like, maybe not in the time frame that 88 00:04:19,600 --> 00:04:23,600 Speaker 1: he originally anticipated, but you know, you look around at 89 00:04:23,640 --> 00:04:27,600 Speaker 1: the at the competitive landscape. You know, no other rocket 90 00:04:27,600 --> 00:04:30,839 Speaker 1: company is landing rockets quite in the way that SpaceX is. 91 00:04:31,240 --> 00:04:34,279 Speaker 1: No other automaker is selling electric vehicles and the volumes 92 00:04:34,279 --> 00:04:38,159 Speaker 1: that Tesla is. And it's like a new decade. They've 93 00:04:38,160 --> 00:04:41,960 Speaker 1: had two quarters of back to back, back to back profits. Um, 94 00:04:42,000 --> 00:04:43,479 Speaker 1: you know, they just went out to the market and 95 00:04:43,520 --> 00:04:45,640 Speaker 1: raised another tree billion. I mean, I think he's feeling 96 00:04:45,680 --> 00:04:48,479 Speaker 1: pretty good about things right now, Dan, I'm doing my 97 00:04:48,520 --> 00:04:56,440 Speaker 1: Elon Musk dance right now for our YouTube video, all right, Dan. 98 00:04:56,520 --> 00:04:59,120 Speaker 1: On a more serious note, Elon Musk and Tesla have 99 00:04:59,160 --> 00:05:01,840 Speaker 1: been criticized for the lack of investment in R and 100 00:05:01,920 --> 00:05:04,040 Speaker 1: D and Capex last year, and of course then they've 101 00:05:04,040 --> 00:05:06,880 Speaker 1: got a big profitability number, but some of the concerns, Now, 102 00:05:06,920 --> 00:05:08,120 Speaker 1: if you come out with a three and a half 103 00:05:08,160 --> 00:05:11,599 Speaker 1: billion dollar Capex budget, can you still be profitable on 104 00:05:11,680 --> 00:05:15,919 Speaker 1: that number. What are you hearing? Well, I think I 105 00:05:15,960 --> 00:05:18,039 Speaker 1: think that I think it'll be really interesting to see 106 00:05:18,040 --> 00:05:20,279 Speaker 1: what the first quarter is, which they've sort of hinted 107 00:05:20,320 --> 00:05:22,120 Speaker 1: at will is likely going to be soft because of 108 00:05:22,160 --> 00:05:25,040 Speaker 1: seasonality and the and the fallout from the coronavirus. But 109 00:05:25,160 --> 00:05:27,039 Speaker 1: you know, I mean, that's that's one of the things 110 00:05:27,040 --> 00:05:28,720 Speaker 1: that Musk has gone back and forth on. They've said 111 00:05:28,800 --> 00:05:31,839 Speaker 1: they'll be seasonally, they've said that they'll be sustainably profitable, 112 00:05:32,400 --> 00:05:34,800 Speaker 1: and then they're like, unless we're investing in growth, but 113 00:05:34,839 --> 00:05:37,920 Speaker 1: they're always investing in growth, So our investors willing to 114 00:05:38,000 --> 00:05:40,320 Speaker 1: kind of take you know, I mean, I guess the 115 00:05:40,400 --> 00:05:43,760 Speaker 1: question is what do investors want. Do they want profitability 116 00:05:43,760 --> 00:05:45,720 Speaker 1: every quarter or do they want the company and really 117 00:05:45,800 --> 00:05:47,920 Speaker 1: kind of come and dominate. And I think some investors 118 00:05:47,920 --> 00:05:50,560 Speaker 1: are willing to sacrifice short term profits if it means 119 00:05:50,640 --> 00:05:53,920 Speaker 1: long term you know, sort of market dominance. All right, 120 00:05:54,000 --> 00:05:57,080 Speaker 1: Dana Hall, we really appreciate it. Tech reporter looking after 121 00:05:57,120 --> 00:06:00,240 Speaker 1: all things Tesla, all things that Elon must that is, 122 00:06:00,279 --> 00:06:04,680 Speaker 1: as we joked yesterday yesterday Taylor like eight full time jobs. 123 00:06:04,680 --> 00:06:06,840 Speaker 1: All right. She joined us on the phone from San 124 00:06:06,920 --> 00:06:18,320 Speaker 1: Francisco my whole patient and I know, all right, well, 125 00:06:18,360 --> 00:06:22,160 Speaker 1: there are a lot of opportunities for songs leading into 126 00:06:22,279 --> 00:06:26,120 Speaker 1: this segment. It also is a story in a discussion, 127 00:06:26,360 --> 00:06:28,239 Speaker 1: and it helps solve a little bit of a mystery 128 00:06:28,320 --> 00:06:30,839 Speaker 1: that's been going on over at Goldman, which is where 129 00:06:30,880 --> 00:06:34,400 Speaker 1: all these guys going, a lot of big tech guys leaving, 130 00:06:34,520 --> 00:06:37,000 Speaker 1: and at least one has landed, and he's landed in 131 00:06:37,000 --> 00:06:40,280 Speaker 1: the marijuana business. Shrina Rajan here with me in New 132 00:06:40,360 --> 00:06:43,400 Speaker 1: York City finance reporter looking after all things Goldman for 133 00:06:43,480 --> 00:06:46,960 Speaker 1: us and much more across Wall Street. Uh so, tell 134 00:06:47,080 --> 00:06:52,320 Speaker 1: us about Mike bum Well, high frequency training experted Goldman 135 00:06:52,480 --> 00:06:55,760 Speaker 1: is ditching his prestigious partnership role to go and join 136 00:06:56,320 --> 00:06:58,240 Speaker 1: a company that's going to open a bunch of weed 137 00:06:58,279 --> 00:07:03,360 Speaker 1: dispensaries across the country. You missed an obvious opportunity to 138 00:07:03,440 --> 00:07:06,920 Speaker 1: make a high frequency joke, but I'm gonna let that slide. 139 00:07:07,000 --> 00:07:09,279 Speaker 1: Were you surprised by this move? Oh my god, Taylor, 140 00:07:09,279 --> 00:07:11,480 Speaker 1: no offense. But I really miss Carol because if she 141 00:07:11,680 --> 00:07:16,480 Speaker 1: was here, the amount of serious irols people, so many irols, 142 00:07:16,520 --> 00:07:19,360 Speaker 1: so many irols. I'm I'm I roll Lane Jason just 143 00:07:19,400 --> 00:07:21,280 Speaker 1: can't see me because I'm not with them in person. 144 00:07:21,600 --> 00:07:24,760 Speaker 1: Luckily all of our YouTube viewers can see it. I 145 00:07:25,040 --> 00:07:26,960 Speaker 1: just have to be the poor guest I can I know, 146 00:07:27,120 --> 00:07:29,480 Speaker 1: I know, you're so nice. No, but do your question, Jason. 147 00:07:30,080 --> 00:07:33,200 Speaker 1: It's instructive in many ways, right, of course, when people 148 00:07:33,280 --> 00:07:36,160 Speaker 1: leave firms, why they choose to do it When they 149 00:07:36,200 --> 00:07:38,640 Speaker 1: do it, there are a variety of different factors, family, 150 00:07:39,480 --> 00:07:42,640 Speaker 1: lack of interest in the role, new opportunities. But still, 151 00:07:42,760 --> 00:07:45,760 Speaker 1: when you decided to leave you a perch, as you know, 152 00:07:45,800 --> 00:07:48,440 Speaker 1: a partner at Goldman Sex their highest title, one of 153 00:07:48,520 --> 00:07:51,120 Speaker 1: Walt Street's foremost investment banks, and decided to take a 154 00:07:51,160 --> 00:07:53,600 Speaker 1: different opportunity. In this case they start up in the 155 00:07:53,640 --> 00:07:57,680 Speaker 1: marijuana space. It just it gives you a sense of 156 00:07:58,520 --> 00:08:01,960 Speaker 1: where he thinks the all opportunity lies, and perhaps also 157 00:08:02,000 --> 00:08:06,880 Speaker 1: indicative of the fact that it wasn't entirely fully committed 158 00:08:06,960 --> 00:08:09,320 Speaker 1: to what he was doing at Goldman because he did 159 00:08:09,360 --> 00:08:11,840 Speaker 1: have a weighty task. He did win approval and a 160 00:08:11,880 --> 00:08:14,160 Speaker 1: lot of funds to make a bunch of highers to 161 00:08:14,280 --> 00:08:17,240 Speaker 1: make a big push to overhaul the electronic trading systems, 162 00:08:17,800 --> 00:08:20,320 Speaker 1: had to convince senior management a number of other people 163 00:08:20,440 --> 00:08:22,760 Speaker 1: to be able to get those projects rolling, and for 164 00:08:22,840 --> 00:08:25,080 Speaker 1: him to be leaving a few months after that. It 165 00:08:25,120 --> 00:08:26,840 Speaker 1: was a bit of a surprise when we heard about it. 166 00:08:27,160 --> 00:08:29,200 Speaker 1: And it seems that he's decided to go out there 167 00:08:29,240 --> 00:08:31,640 Speaker 1: and pair up with some of his ex colleagues from 168 00:08:31,640 --> 00:08:36,040 Speaker 1: a previous firm to join the startup venture three. I'm 169 00:08:36,040 --> 00:08:38,439 Speaker 1: curious to get your thoughts about what's going on at 170 00:08:38,480 --> 00:08:42,880 Speaker 1: Goldman more generally. You originally never really heard a lot 171 00:08:42,880 --> 00:08:45,240 Speaker 1: of stories about people leaving. It's so hard to get 172 00:08:45,280 --> 00:08:48,160 Speaker 1: into that. Once you're Derrick Goldman, you are really excited 173 00:08:48,200 --> 00:08:51,079 Speaker 1: to be there and to work your way up. We've seen, though, 174 00:08:51,120 --> 00:08:54,560 Speaker 1: a lot of departures recently, especially from the top ranks. 175 00:08:55,000 --> 00:08:57,720 Speaker 1: Is there a lack of vote of confidence in Goldman 176 00:08:57,840 --> 00:09:01,000 Speaker 1: or is there just a bigger vote of confidence somewhere else. 177 00:09:02,120 --> 00:09:05,000 Speaker 1: That's a tough question, Taylor, because and we had this 178 00:09:05,040 --> 00:09:07,600 Speaker 1: discussion yesterday when we were thinking about all the troubles 179 00:09:07,600 --> 00:09:10,000 Speaker 1: at government and all the people leaving. When we go 180 00:09:10,080 --> 00:09:13,600 Speaker 1: back a year ago, the January February of nine, again 181 00:09:13,679 --> 00:09:15,559 Speaker 1: we saw a lot of departures. We were able to 182 00:09:15,600 --> 00:09:18,080 Speaker 1: explain away a lot of that saying, hey, whenever there's 183 00:09:18,080 --> 00:09:20,360 Speaker 1: a new management. In this case, David Solomon took over 184 00:09:20,400 --> 00:09:23,280 Speaker 1: the role of CEO and chairman from Lloyd Blankfind you 185 00:09:23,400 --> 00:09:25,400 Speaker 1: expect to change with the Guard. You expect a lot 186 00:09:25,440 --> 00:09:27,480 Speaker 1: of people aligned with Lloyd or the old Guard to 187 00:09:27,480 --> 00:09:30,360 Speaker 1: be leaving. And the new guy comes in and installed 188 00:09:30,400 --> 00:09:32,160 Speaker 1: a lot of his people at various roles, and in 189 00:09:32,200 --> 00:09:35,199 Speaker 1: an ambitious, competitive place like Goldman, you will see a 190 00:09:35,240 --> 00:09:38,560 Speaker 1: lot of churn. The difficult part here, the troubling part 191 00:09:38,600 --> 00:09:41,480 Speaker 1: here is a year later, fifteen months in his tenure, 192 00:09:41,559 --> 00:09:43,960 Speaker 1: we're still talking about this time of the year and 193 00:09:44,000 --> 00:09:47,240 Speaker 1: the kind of high profile departures we're seeing, which is 194 00:09:47,360 --> 00:09:49,360 Speaker 1: which has got a lot of tongues wagging across Wall 195 00:09:49,400 --> 00:09:52,360 Speaker 1: Street for sure, and the competitors are paying attention. You 196 00:09:52,400 --> 00:09:55,600 Speaker 1: can be guaranteed about that. And somebody else leaving and 197 00:09:55,600 --> 00:09:57,920 Speaker 1: and you the other other names that are we included 198 00:09:57,920 --> 00:10:00,280 Speaker 1: in the story. Couldn't play it higher Bi because I 199 00:10:00,360 --> 00:10:02,440 Speaker 1: was just so much interested in giving all the details 200 00:10:02,440 --> 00:10:05,080 Speaker 1: on the marijuana startup. Otherwise Jason would have killed us. 201 00:10:05,760 --> 00:10:09,920 Speaker 1: But yes, Jeff Winner joined Goldman two years ago after 202 00:10:10,000 --> 00:10:14,120 Speaker 1: having senior engineering roles in places like Stripe and Uber Silicon, 203 00:10:14,240 --> 00:10:16,640 Speaker 1: Valley name. He was supposed to build out this big 204 00:10:16,679 --> 00:10:19,880 Speaker 1: San Francisco office for Goldman uh and he's gone in 205 00:10:19,880 --> 00:10:22,480 Speaker 1: onto two years and it's it's funny when when when 206 00:10:22,520 --> 00:10:24,640 Speaker 1: we sort of look back at the old clips and 207 00:10:24,840 --> 00:10:26,480 Speaker 1: the interviews we did with him at the time of 208 00:10:26,520 --> 00:10:29,600 Speaker 1: his joining. He talked about how there's still a lot 209 00:10:29,640 --> 00:10:31,520 Speaker 1: of stuff in us in this place, but the bank 210 00:10:31,600 --> 00:10:34,080 Speaker 1: is working to get rid of it. He talked about 211 00:10:34,200 --> 00:10:37,960 Speaker 1: free flowing kombucha. Unfortunately, before he could get a free 212 00:10:37,960 --> 00:10:42,400 Speaker 1: full of kombucha, he's decided he's had enough. All right, Well, 213 00:10:42,760 --> 00:10:44,720 Speaker 1: it's a good story. Thank you for being a good sport. 214 00:10:44,760 --> 00:10:47,800 Speaker 1: As I make all my terrible, terrible marijuana punts here, 215 00:10:48,040 --> 00:10:50,560 Speaker 1: it's a Friday afternoon, it's been a long week, and 216 00:10:50,800 --> 00:10:52,720 Speaker 1: you know, it's just too good. It's just too easy. 217 00:10:52,720 --> 00:10:55,800 Speaker 1: It's sitting right there, Shri Nadaraja and always doing such 218 00:10:55,840 --> 00:10:58,600 Speaker 1: a great job with the comings and goings at Goldman, 219 00:10:58,640 --> 00:11:03,480 Speaker 1: Sachs and Codman Arture Partner. Ditching a pursuit of Quantz 220 00:11:03,480 --> 00:11:06,200 Speaker 1: for a marijuana start up is a really nice story 221 00:11:06,240 --> 00:11:09,720 Speaker 1: in one of the most read on the Bluebird. And 222 00:11:09,800 --> 00:11:16,440 Speaker 1: what is it that hasn't done as a puzzle in song. Alright, 223 00:11:16,559 --> 00:11:19,760 Speaker 1: so when it comes to Valentine's Day gifts, maybe this 224 00:11:20,040 --> 00:11:24,240 Speaker 1: isn't the one you want, unless you what you're Valentine 225 00:11:24,280 --> 00:11:28,360 Speaker 1: to be both ignoring you and maybe really really mad 226 00:11:28,400 --> 00:11:31,160 Speaker 1: at you. It's such a great story. We're talking about 227 00:11:31,440 --> 00:11:36,960 Speaker 1: stave puzzles, where the torture is the point. Devin Leonard 228 00:11:37,240 --> 00:11:40,360 Speaker 1: wrote this story quite an assignment he got for Bluebird 229 00:11:40,440 --> 00:11:43,080 Speaker 1: Business Week. As I joked earlier, Devon, you know, usually 230 00:11:43,120 --> 00:11:46,800 Speaker 1: you're doing these deep dive investigations you're telling us about 231 00:11:46,800 --> 00:11:51,040 Speaker 1: like McK mulvaney and Steve mcnuchin and folks like that. 232 00:11:51,080 --> 00:11:54,560 Speaker 1: But here we are talking to you about puzzles. So 233 00:11:54,960 --> 00:11:57,319 Speaker 1: why what's going on here? I don't know. This is 234 00:11:57,360 --> 00:11:59,920 Speaker 1: a really weird one. And I mean, this is a 235 00:12:00,000 --> 00:12:02,160 Speaker 1: company basically until recently was run by a guy who 236 00:12:02,200 --> 00:12:07,000 Speaker 1: described himself as its chief tormentor. It's customers they all 237 00:12:07,040 --> 00:12:10,559 Speaker 1: basically say their addicts, and I mean to these weird games, 238 00:12:10,559 --> 00:12:12,760 Speaker 1: some of which the company says are are created by 239 00:12:12,920 --> 00:12:15,640 Speaker 1: you know, a sadist. So I mean, this is not 240 00:12:15,679 --> 00:12:17,080 Speaker 1: the type of story I do all the time. And 241 00:12:17,120 --> 00:12:18,760 Speaker 1: I had no idea what I was getting into when 242 00:12:18,920 --> 00:12:22,400 Speaker 1: Joel Webber, the magazine that are asked me to do it. Yeah, Devin, 243 00:12:22,480 --> 00:12:26,679 Speaker 1: how did you find this story? I've never even heard. 244 00:12:26,679 --> 00:12:28,480 Speaker 1: I've never heard of this company. I never I'm not 245 00:12:28,520 --> 00:12:32,280 Speaker 1: a puzzle guy. Uh and and uh, but Joel kind 246 00:12:32,280 --> 00:12:34,320 Speaker 1: of is. I mean, I think he that part of 247 00:12:34,360 --> 00:12:37,040 Speaker 1: it is he knew about this from maybe being Tork 248 00:12:37,400 --> 00:12:41,880 Speaker 1: cousin or or something. But no, I don't. I just 249 00:12:42,280 --> 00:12:43,920 Speaker 1: said I just had no idea. It really wasn't. I 250 00:12:44,480 --> 00:12:46,480 Speaker 1: went up there and I stayed at that place. It's 251 00:12:46,480 --> 00:12:49,959 Speaker 1: really swanky, uh, you know, Resort Twin Farms, and they 252 00:12:49,960 --> 00:12:52,240 Speaker 1: had them in all the rooms. I couldn't do mine. 253 00:12:52,280 --> 00:12:55,640 Speaker 1: My daughter later did in ten minutes. But but but 254 00:12:55,679 --> 00:12:57,360 Speaker 1: that's when I started to see like, hey, wait a minute. 255 00:12:57,360 --> 00:13:00,680 Speaker 1: You know, you know, you know the rooms, the sweets 256 00:13:00,679 --> 00:13:02,800 Speaker 1: I go for, you know, a thousand, two thousand dollars 257 00:13:02,800 --> 00:13:05,960 Speaker 1: a night, and you know, you know there's something that 258 00:13:06,200 --> 00:13:09,280 Speaker 1: you know there, there's some there's something going going on here. 259 00:13:09,400 --> 00:13:10,760 Speaker 1: And then then I went over to the company and 260 00:13:11,000 --> 00:13:13,040 Speaker 1: basically they took me all around and show me with 261 00:13:13,080 --> 00:13:14,760 Speaker 1: crazy puzzles. And then they showed me a whole wall 262 00:13:14,760 --> 00:13:18,560 Speaker 1: and there's Jeff Bezos and Bill Gates and Queen Elizabeth 263 00:13:18,679 --> 00:13:22,719 Speaker 1: and the Bush family and you know, so basically all 264 00:13:22,800 --> 00:13:25,760 Speaker 1: these people. Um, I mean, well you have to have 265 00:13:25,800 --> 00:13:28,240 Speaker 1: money because because the puzzles cost as much as you know, 266 00:13:28,280 --> 00:13:31,520 Speaker 1: ten ten ten grants. Right. I have to say, like, 267 00:13:31,920 --> 00:13:34,520 Speaker 1: in reading your story, it feels like, and you just 268 00:13:34,840 --> 00:13:37,400 Speaker 1: illustrated it pretty well. It's almost like you go down 269 00:13:37,440 --> 00:13:40,800 Speaker 1: this rabbit hole, right, you know, into into this place 270 00:13:40,880 --> 00:13:45,439 Speaker 1: where people are sort of obsessive about it. Clearly they 271 00:13:45,880 --> 00:13:49,200 Speaker 1: appeal to a certain type of person. Tell us about 272 00:13:49,200 --> 00:13:55,520 Speaker 1: the puzzles themselves. Well, they mean, they're they're they're sort 273 00:13:55,520 --> 00:13:58,720 Speaker 1: of I guess they're very they're very I guess they're beautiful, 274 00:13:58,760 --> 00:14:01,720 Speaker 1: I mean a person. But they're designed and ways to 275 00:14:01,720 --> 00:14:04,160 Speaker 1: to just be be very difficult. They come in boxes 276 00:14:04,200 --> 00:14:06,280 Speaker 1: and blue boxes, so you don't have a picture of 277 00:14:06,280 --> 00:14:07,840 Speaker 1: the puzzle in the box and you put it together. 278 00:14:08,080 --> 00:14:11,240 Speaker 1: They throw in pieces that purposely don't fit. Then they 279 00:14:11,280 --> 00:14:13,440 Speaker 1: have all these other tricks that that they used to 280 00:14:13,480 --> 00:14:15,880 Speaker 1: drive people crazy. But then but then you you know, 281 00:14:15,920 --> 00:14:17,679 Speaker 1: you wind up talking to the people who spend all 282 00:14:17,679 --> 00:14:19,520 Speaker 1: this money, you know, these things, So that's what they want. 283 00:14:19,800 --> 00:14:22,080 Speaker 1: They want to kind of be tortured and and you know, 284 00:14:22,120 --> 00:14:23,600 Speaker 1: they want things to be really hard and they want 285 00:14:23,640 --> 00:14:25,600 Speaker 1: to be a challenge, and sometimes it drives them crazy. 286 00:14:25,600 --> 00:14:28,040 Speaker 1: And one guy said he's he curses at his puzzles, 287 00:14:28,080 --> 00:14:30,920 Speaker 1: but he buys ten a year, sorry, not ten a year, 288 00:14:31,080 --> 00:14:34,840 Speaker 1: ten at a time. Oh wow, you know, Devin, I'm 289 00:14:34,880 --> 00:14:37,040 Speaker 1: going on the website right now and there's a puzzle 290 00:14:37,080 --> 00:14:39,760 Speaker 1: for Valentine's Day that Jason's gonna get me. It's nine 291 00:14:39,880 --> 00:14:44,000 Speaker 1: hundred and seven dollars. It has this sweetheart little street. 292 00:14:44,040 --> 00:14:47,400 Speaker 1: It's called sweet Streets, just in time for Valentine's Day. 293 00:14:47,440 --> 00:14:49,920 Speaker 1: But in your story you talk about a lot of 294 00:14:49,960 --> 00:14:54,360 Speaker 1: other cool ones, um like these boxes and locks and 295 00:14:55,360 --> 00:14:58,560 Speaker 1: very non traditional, right, talk to us about some of 296 00:14:58,680 --> 00:15:03,120 Speaker 1: these crazy puzzles that you mentioned in your story. Well, 297 00:15:03,200 --> 00:15:05,440 Speaker 1: maybe the best example is, you know, this custom made 298 00:15:05,480 --> 00:15:07,640 Speaker 1: one that they made for this guy in in Dallas. 299 00:15:08,160 --> 00:15:11,000 Speaker 1: His name's Hal Brierley. He's a relaters and guy ended 300 00:15:11,080 --> 00:15:13,000 Speaker 1: up himself. I mean, he's sort of one of the 301 00:15:13,080 --> 00:15:17,240 Speaker 1: fathers of customer Customer loyally programs. He either designed them 302 00:15:17,360 --> 00:15:21,280 Speaker 1: or random for the major airlines, for Hurts, for Hilton. 303 00:15:21,800 --> 00:15:25,320 Speaker 1: But basically he's he's he's a guy. He's he's he's 304 00:15:25,320 --> 00:15:27,680 Speaker 1: a workaholic and he needs these puzzles sort to get 305 00:15:27,720 --> 00:15:30,680 Speaker 1: his mind off of an off of work. He's still 306 00:15:30,720 --> 00:15:32,960 Speaker 1: like seventy four and he's still doing this. So so basically, 307 00:15:33,480 --> 00:15:36,080 Speaker 1: his uh, his wife and his sister in law been 308 00:15:36,200 --> 00:15:39,360 Speaker 1: ordering him these custom made puzzles and uh, you know 309 00:15:39,560 --> 00:15:41,480 Speaker 1: the one he the one he's he's working on he 310 00:15:41,520 --> 00:15:43,520 Speaker 1: can't finish, just driving him nuts. It's more than a 311 00:15:43,640 --> 00:15:48,200 Speaker 1: thousand pieces and it's designed you know, it's inspired by 312 00:15:48,280 --> 00:15:52,440 Speaker 1: these African safari trips. They've all taken two thirds of 313 00:15:52,480 --> 00:15:55,360 Speaker 1: the pieces are all blue, and basically basically when he 314 00:15:55,600 --> 00:15:57,960 Speaker 1: doesn't understand, I mean maybe he's figured out. No, I 315 00:15:57,960 --> 00:16:00,280 Speaker 1: don't think he has. But there's a whole other level 316 00:16:00,760 --> 00:16:02,440 Speaker 1: to to the puzzle that fits on top of the 317 00:16:02,480 --> 00:16:05,080 Speaker 1: continent of Africa. It's all water but the but the 318 00:16:05,120 --> 00:16:07,440 Speaker 1: pieces are almost all the same size. There's no guide. 319 00:16:07,880 --> 00:16:09,600 Speaker 1: And this is a really smart guy. There's tons and 320 00:16:09,640 --> 00:16:12,200 Speaker 1: tons of puzzles, but he can't figure it out. And 321 00:16:12,360 --> 00:16:15,280 Speaker 1: he's I mean, I he basically said, I'm a guy 322 00:16:15,280 --> 00:16:16,960 Speaker 1: of bills by the hour. I'm sort of calculated how 323 00:16:17,040 --> 00:16:18,800 Speaker 1: much time they I don't know it's worth it. But 324 00:16:19,240 --> 00:16:21,000 Speaker 1: I love these things. So, you know, one of the 325 00:16:21,080 --> 00:16:23,200 Speaker 1: things that occurs to me Devon, and I wonder if 326 00:16:23,240 --> 00:16:24,640 Speaker 1: this occurred to you as you were working on it. 327 00:16:25,360 --> 00:16:29,840 Speaker 1: This feels like kind of an analog antidote to a 328 00:16:29,960 --> 00:16:33,120 Speaker 1: very digital world, right, you know, it's very tactile, and 329 00:16:33,280 --> 00:16:35,560 Speaker 1: even some of the other things you talk about are 330 00:16:35,760 --> 00:16:39,160 Speaker 1: experiential and more and more, it does feel like, and 331 00:16:39,400 --> 00:16:42,280 Speaker 1: you've alluded to this already, this is an escape from 332 00:16:42,400 --> 00:16:44,680 Speaker 1: being in front of these screens or holding our phones 333 00:16:44,720 --> 00:16:47,120 Speaker 1: and things like that. People draw a lot of satisfaction 334 00:16:47,160 --> 00:16:49,320 Speaker 1: out of this. Yeah, and and and and it is 335 00:16:49,360 --> 00:16:51,400 Speaker 1: sort of amazing that that in this day and age, 336 00:16:51,480 --> 00:16:54,760 Speaker 1: some little company could you know, prosper by making something 337 00:16:54,840 --> 00:16:56,400 Speaker 1: that's sort of like I guess now you can buy 338 00:16:56,440 --> 00:16:58,560 Speaker 1: them online. But they used to Everything used to be 339 00:16:58,920 --> 00:17:00,960 Speaker 1: you know, done through the male, and so they think 340 00:17:00,960 --> 00:17:03,400 Speaker 1: they still do something, you know, thank you notes, handwritten 341 00:17:03,440 --> 00:17:05,480 Speaker 1: thank you notes, and I mean the whole thing is 342 00:17:05,560 --> 00:17:07,800 Speaker 1: so sort of retro but I think that's for the point. 343 00:17:08,040 --> 00:17:09,760 Speaker 1: I mean, the one thing for them is the customers 344 00:17:09,800 --> 00:17:11,399 Speaker 1: are are pretty old. Just about everybody I talked to 345 00:17:11,520 --> 00:17:14,159 Speaker 1: was their seventies, so I mean, I did see them, 346 00:17:14,600 --> 00:17:17,720 Speaker 1: among other things. Well, it's Valentine's. They designed these puzzles 347 00:17:17,760 --> 00:17:21,200 Speaker 1: for people that you know, some person puts it together 348 00:17:21,240 --> 00:17:23,480 Speaker 1: with their significant another and then as they're finishing it, 349 00:17:24,040 --> 00:17:26,200 Speaker 1: you know that, you know, they put these pieces and 350 00:17:26,280 --> 00:17:28,200 Speaker 1: I guess, I guess the person I bought the puzzle 351 00:17:28,520 --> 00:17:30,119 Speaker 1: gives oh, by the way, I got these pieces, and 352 00:17:30,280 --> 00:17:33,359 Speaker 1: and it says, will you marry me? And and I 353 00:17:33,400 --> 00:17:36,119 Speaker 1: guess the one example, the one or two examples they 354 00:17:36,160 --> 00:17:41,440 Speaker 1: showed me, the answer was no. But no, so so 355 00:17:41,680 --> 00:17:47,440 Speaker 1: you know, buyer beware. But but but I mean, it's 356 00:17:47,840 --> 00:17:50,320 Speaker 1: it's uh, it's it's it's like nothing I've I've ever 357 00:17:50,359 --> 00:17:53,560 Speaker 1: seen before. Absolutely need I need to meet that girl 358 00:17:53,600 --> 00:17:55,600 Speaker 1: who said no. I think I'm a fan of hers, 359 00:17:57,119 --> 00:17:59,640 Speaker 1: you know. But on a more serious note, I think, 360 00:17:59,680 --> 00:18:02,600 Speaker 1: like you, we're alluding to Jason. In this digital world, 361 00:18:03,200 --> 00:18:06,800 Speaker 1: I remember during Superstorm Sandy, when all of our lights 362 00:18:06,840 --> 00:18:10,000 Speaker 1: went out, we're all doing puzzles by candle light, right 363 00:18:10,000 --> 00:18:13,000 Speaker 1: because our mobile devices stopped working. And around Christmas time, 364 00:18:13,040 --> 00:18:15,280 Speaker 1: when we're all on our phones, it's kind of a 365 00:18:15,359 --> 00:18:17,960 Speaker 1: nice break to maybe just sit down and do a puzzle. 366 00:18:18,040 --> 00:18:20,080 Speaker 1: And so I'm really wondering if this is the beginning 367 00:18:20,119 --> 00:18:22,520 Speaker 1: of a bigger trend where we put some of these 368 00:18:22,600 --> 00:18:25,280 Speaker 1: mobile devices down and use this as a really way 369 00:18:25,320 --> 00:18:27,680 Speaker 1: to connect with people again, if you're gonna afford it, 370 00:18:28,000 --> 00:18:31,000 Speaker 1: If you can afford it, that's absolutely true. Well, uh, 371 00:18:31,200 --> 00:18:33,960 Speaker 1: this is a really terrific story. It is being consumed 372 00:18:34,040 --> 00:18:37,880 Speaker 1: pretty madly on the Bloomberg terminal and online. This one's 373 00:18:37,880 --> 00:18:39,720 Speaker 1: gonna have a long tail. I can guarantee you that 374 00:18:39,840 --> 00:18:42,959 Speaker 1: Devin Leonard wrote it. He is projects an investigations reporter, 375 00:18:43,280 --> 00:18:46,399 Speaker 1: a different sort of project, in this case looking into 376 00:18:46,600 --> 00:18:54,960 Speaker 1: some very tough to solve puzzles. All right, it's one 377 00:18:55,000 --> 00:18:57,600 Speaker 1: of my favorite stories of the week. Not surprisingly, any 378 00:18:57,680 --> 00:19:00,480 Speaker 1: Massa wrote it. It's about big mone me on big 379 00:19:00,560 --> 00:19:05,280 Speaker 1: money Vanguard. We're talking about the mutual fund manager looking 380 00:19:05,280 --> 00:19:08,399 Speaker 1: after mutual funds, looking after index funds, getting into the 381 00:19:08,440 --> 00:19:12,280 Speaker 1: business of private equity, sort of dipping its toe a bit, 382 00:19:12,560 --> 00:19:15,080 Speaker 1: but we think probably we're going to put a leg 383 00:19:15,119 --> 00:19:17,119 Speaker 1: in it before too long. An easier with me in 384 00:19:17,200 --> 00:19:19,679 Speaker 1: New York City, tailor raigs in San Francisco. All right, 385 00:19:19,720 --> 00:19:22,320 Speaker 1: so Annie, tell us what Vanguard's up to. So Vanguard 386 00:19:22,359 --> 00:19:25,440 Speaker 1: has announced plans for a new private equity fund that 387 00:19:25,520 --> 00:19:29,800 Speaker 1: at first will only be available to institutions, smaller institutions 388 00:19:29,880 --> 00:19:33,520 Speaker 1: like endowments and nonprofit foundations, but that it hopes to 389 00:19:33,640 --> 00:19:37,160 Speaker 1: open up to a broader range of investors as it can, 390 00:19:37,320 --> 00:19:40,600 Speaker 1: and it's doing this with Harbor Vest Partners managing the 391 00:19:40,680 --> 00:19:44,960 Speaker 1: fund out of Boston, so Annie. The interesting thing is 392 00:19:45,040 --> 00:19:49,200 Speaker 1: that Vanguard is known for low cost passive indexing. This 393 00:19:49,400 --> 00:19:51,879 Speaker 1: is now PE, which you think of as high fees, 394 00:19:52,440 --> 00:19:56,960 Speaker 1: certainly nowhere near passive investing. How does this fit into 395 00:19:57,080 --> 00:20:01,359 Speaker 1: Vanguard strategy. It's a great question. As you know, Vanguard 396 00:20:01,600 --> 00:20:05,360 Speaker 1: is synonymous with this kind of retail facing, ultra low 397 00:20:05,520 --> 00:20:09,680 Speaker 1: cost index fund ethos that it was really built on. 398 00:20:10,400 --> 00:20:13,520 Speaker 1: But I mean, it does have an active management arm. 399 00:20:13,640 --> 00:20:17,879 Speaker 1: It's got over a trillion dollars in active strategies and 400 00:20:18,520 --> 00:20:22,320 Speaker 1: it sees this PE vehicle as a continuation of that. 401 00:20:22,800 --> 00:20:24,680 Speaker 1: But that's not to understate that it really is a 402 00:20:24,760 --> 00:20:28,840 Speaker 1: departure for such a huge indexing giant and index fund 403 00:20:29,000 --> 00:20:34,280 Speaker 1: giant um so PE. Obviously it's a place with higher fees, 404 00:20:34,400 --> 00:20:38,479 Speaker 1: longer lock up periods, and just a very different realm 405 00:20:38,760 --> 00:20:43,400 Speaker 1: of investing than index funds and so tell Us about 406 00:20:43,440 --> 00:20:48,200 Speaker 1: the experimentation that's happened so far because other big money managers, 407 00:20:48,240 --> 00:20:50,840 Speaker 1: the big three you know we call Vanguard, you call 408 00:20:51,080 --> 00:20:54,720 Speaker 1: you helped us understand a few weeks ago, Vanguard, State Street, 409 00:20:54,800 --> 00:20:59,000 Speaker 1: and black Rock, there's been some experimentation here, right, Yeah, 410 00:20:59,080 --> 00:21:01,760 Speaker 1: that's right. Vanguard certainly not the only one of those 411 00:21:01,880 --> 00:21:04,960 Speaker 1: three big fund firms to try and get into PEE. 412 00:21:05,160 --> 00:21:08,359 Speaker 1: You also saw black Rock two years ago announced its 413 00:21:08,440 --> 00:21:12,560 Speaker 1: own new private equity style of vehicle called long Term 414 00:21:12,640 --> 00:21:17,360 Speaker 1: Private Capital that's taking stakes in private companies. And it's 415 00:21:17,400 --> 00:21:20,280 Speaker 1: another indication now that you see Vanguard doing it as well, 416 00:21:20,680 --> 00:21:25,520 Speaker 1: that private equity is becoming kind of irresistible to these firms. 417 00:21:25,880 --> 00:21:30,480 Speaker 1: And you know, fees are something that you cannot ignore um. 418 00:21:30,960 --> 00:21:36,600 Speaker 1: And also there's more institutional ability to allocate to private equity. UM. 419 00:21:37,160 --> 00:21:40,160 Speaker 1: You see funds raising record amounts. So it's a piece 420 00:21:40,200 --> 00:21:42,040 Speaker 1: of the market that they don't want to be left 421 00:21:42,080 --> 00:21:45,080 Speaker 1: out of for much longer. Andy, I also wonder if 422 00:21:45,160 --> 00:21:49,240 Speaker 1: this is classic peak pe that a Vanguard is getting in. 423 00:21:49,720 --> 00:21:53,000 Speaker 1: It's just a sign of my mom, my dad, my grandma, 424 00:21:53,359 --> 00:21:55,800 Speaker 1: you know, every sort of retail investor wanting a piece 425 00:21:55,840 --> 00:21:57,720 Speaker 1: of the action. And it is a sign that we 426 00:21:57,800 --> 00:21:59,760 Speaker 1: were at peak PEE. We should all be running for 427 00:21:59,800 --> 00:22:03,199 Speaker 1: the don't be so dismissive of the rigs. They're very 428 00:22:03,280 --> 00:22:09,159 Speaker 1: sophisticated investors with UM no offense to anyone in your 429 00:22:09,200 --> 00:22:14,040 Speaker 1: family and the investing strategies, Taylor. UM is that some 430 00:22:14,200 --> 00:22:19,280 Speaker 1: people say, some kind of advocates for individual investors have said, 431 00:22:19,960 --> 00:22:22,840 Speaker 1: you know, we haven't This vehicle is not open to 432 00:22:22,920 --> 00:22:25,000 Speaker 1: retail investors yet. And it's important to note that there 433 00:22:25,040 --> 00:22:28,719 Speaker 1: are regulatory restrictions on who can invest in PE right now. 434 00:22:29,200 --> 00:22:32,720 Speaker 1: You see big firms like black Stone and KKR and 435 00:22:32,760 --> 00:22:37,359 Speaker 1: Apollo wanting to angle into a broader audience UM and 436 00:22:37,480 --> 00:22:42,080 Speaker 1: open up their private equity vehicles to more investors. But 437 00:22:42,480 --> 00:22:46,800 Speaker 1: what these UM advocates for individual investors say in some 438 00:22:46,960 --> 00:22:50,440 Speaker 1: cases is, you know, they're not sure that it makes 439 00:22:50,680 --> 00:22:53,760 Speaker 1: sense to change the rules about who can invest in 440 00:22:53,880 --> 00:22:57,560 Speaker 1: P because they're more esoteric. Lock up periods are longer, 441 00:22:58,040 --> 00:23:00,440 Speaker 1: and they say that it might not necess necessarily be 442 00:23:00,480 --> 00:23:02,879 Speaker 1: a good thing for the end investor or, Like the 443 00:23:03,000 --> 00:23:09,280 Speaker 1: less sophisticated Invester Well and as you noted there, Blackstone 444 00:23:09,320 --> 00:23:13,800 Speaker 1: and others Blackstone, Carlo, KKR, they are desperate to get 445 00:23:13,880 --> 00:23:16,199 Speaker 1: to this like holy grail of the retail investor. They 446 00:23:16,240 --> 00:23:19,360 Speaker 1: just see this as this massive pool that they want 447 00:23:19,400 --> 00:23:22,639 Speaker 1: to swim into the to their hearts content. Right, And 448 00:23:22,760 --> 00:23:25,399 Speaker 1: if you think about it, you can't really have pe 449 00:23:25,600 --> 00:23:28,399 Speaker 1: in a four oh one K, for example, But I 450 00:23:28,520 --> 00:23:31,080 Speaker 1: think that they might argue a four oh one K 451 00:23:31,320 --> 00:23:34,800 Speaker 1: is a perfect place for a private equity fund because 452 00:23:35,480 --> 00:23:38,560 Speaker 1: you're not really supposed to touch that money for long 453 00:23:38,640 --> 00:23:42,560 Speaker 1: periods of time, for decades, so it makes perfect sense to, 454 00:23:43,600 --> 00:23:46,080 Speaker 1: you know, put a p style vehicle in there. UM. 455 00:23:46,560 --> 00:23:48,760 Speaker 1: Of course, they have products to sell, so you have 456 00:23:48,880 --> 00:23:51,320 Speaker 1: to keep that in mind as they, you know, make 457 00:23:51,400 --> 00:23:56,359 Speaker 1: their case. UH in Washington, any any sort of thoughts 458 00:23:56,440 --> 00:23:59,440 Speaker 1: on when we would see this type of vehicle be 459 00:23:59,640 --> 00:24:03,840 Speaker 1: open to retail investors. There's no real clarity around that yet. 460 00:24:04,000 --> 00:24:07,280 Speaker 1: But regulators are reassessing whether they should change some of 461 00:24:07,320 --> 00:24:11,159 Speaker 1: the restrictions on private equity investments. So it's a an 462 00:24:11,240 --> 00:24:15,480 Speaker 1: issue that's evolving, and UM Vanguard is UH, I think, 463 00:24:15,640 --> 00:24:18,080 Speaker 1: trying to get ahead of it because I think they 464 00:24:18,119 --> 00:24:20,679 Speaker 1: wouldn't want to be caught flat footed if the regulations 465 00:24:20,720 --> 00:24:25,000 Speaker 1: were to change. UM with their army of advisors that 466 00:24:25,080 --> 00:24:28,680 Speaker 1: could potentially sell those um kinds of vehicles to trying 467 00:24:28,680 --> 00:24:31,480 Speaker 1: to be on the vanguard. All right, Annie massa investing 468 00:24:31,600 --> 00:24:36,920 Speaker 1: reporter for Bloomberg, keeping a very close eye on everything 469 00:24:37,000 --> 00:24:39,520 Speaker 1: that happens in the world, a big money on our 470 00:24:39,640 --> 00:24:51,960 Speaker 1: investing team journal. Yeah, but you let me drive, No, Ann, please, 471 00:24:54,760 --> 00:25:11,440 Speaker 1: I want to drive, drive the questions, the drive to 472 00:25:11,520 --> 00:25:17,320 Speaker 1: the globes community. Thanks well us, Bloomberg Radio. All right, 473 00:25:17,320 --> 00:25:21,080 Speaker 1: it's time for the Drive to the clothes. Let's get 474 00:25:21,119 --> 00:25:24,399 Speaker 1: into it with Rob Crocha. He is senior portfolio manager 475 00:25:24,520 --> 00:25:27,479 Speaker 1: for Risk Parody and Managed Features at Melon, joining us 476 00:25:27,560 --> 00:25:30,480 Speaker 1: on the phone from Boston. Rob, great to have you 477 00:25:30,560 --> 00:25:33,720 Speaker 1: with Taylor Riggs and myself. So what are you seeing 478 00:25:33,760 --> 00:25:36,400 Speaker 1: in this market right now? It feels like we're kind 479 00:25:36,400 --> 00:25:38,920 Speaker 1: of catching our breath here on a Friday after a 480 00:25:39,040 --> 00:25:42,200 Speaker 1: few turbulent weeks and candidly a couple of turbulent Fridays 481 00:25:42,280 --> 00:25:44,679 Speaker 1: where you saw a big sell off going into the weekend. 482 00:25:47,200 --> 00:25:49,399 Speaker 1: It still feels like a risk on market to us. 483 00:25:49,720 --> 00:25:53,400 Speaker 1: Um you know, when we when we saw the response 484 00:25:53,480 --> 00:25:57,000 Speaker 1: of the market to you know, frankly, pretty big macro 485 00:25:57,200 --> 00:26:01,560 Speaker 1: news including coronavirus UM and the market just seems to 486 00:26:01,720 --> 00:26:05,320 Speaker 1: continue to shrug off risk with the idea that monetary 487 00:26:05,400 --> 00:26:09,640 Speaker 1: policy has got our back. Um, it's the market has 488 00:26:09,760 --> 00:26:14,280 Speaker 1: a really positive sentiment here, Rob, I was reading through 489 00:26:14,320 --> 00:26:16,199 Speaker 1: your notes and one thing that I really liked, as 490 00:26:16,240 --> 00:26:19,480 Speaker 1: you're talking about value go along cheap stocks, short expensive ones. 491 00:26:19,720 --> 00:26:22,920 Speaker 1: We were talking in an earlier segment about the rotation 492 00:26:23,080 --> 00:26:26,280 Speaker 1: or really the lack of rotation here between value and growth. 493 00:26:26,440 --> 00:26:30,000 Speaker 1: Are you still preferring value here? You know, as a 494 00:26:30,080 --> 00:26:33,639 Speaker 1: as a quand investor, we try to be empirically driven. 495 00:26:33,800 --> 00:26:35,960 Speaker 1: And the truth is that for a big investor that 496 00:26:36,000 --> 00:26:41,600 Speaker 1: has to deploy significant capital, traditional value it just naively applied, 497 00:26:41,920 --> 00:26:45,560 Speaker 1: has never really worked. So if you break down what's driven, 498 00:26:46,040 --> 00:26:49,720 Speaker 1: you know, from a French factor performance, it was tiny 499 00:26:49,800 --> 00:26:52,959 Speaker 1: stocks and it was actually the short side of tiny stocks. 500 00:26:53,000 --> 00:26:55,720 Speaker 1: So small stocks that have been really beaten down and 501 00:26:55,840 --> 00:26:59,399 Speaker 1: are still expensive, those those are the ones that have 502 00:26:59,560 --> 00:27:02,600 Speaker 1: tended to do very poorly, and being short those has 503 00:27:02,680 --> 00:27:06,560 Speaker 1: been has has been a great booster for value strategies. 504 00:27:06,920 --> 00:27:10,159 Speaker 1: And so if you look at the data that is 505 00:27:10,320 --> 00:27:13,760 Speaker 1: underneath of the original papers on value, they are not 506 00:27:13,920 --> 00:27:17,320 Speaker 1: supportive of just being long a big naive value index 507 00:27:17,400 --> 00:27:21,399 Speaker 1: portfolio never worked, doesn't work now, so talk to us 508 00:27:21,400 --> 00:27:24,360 Speaker 1: about factors. Rob remind us, you know, for our audience 509 00:27:24,440 --> 00:27:28,800 Speaker 1: that's not as familiar what that involves. What basically the 510 00:27:28,960 --> 00:27:32,560 Speaker 1: lens through which you see the market is absolutely when 511 00:27:32,640 --> 00:27:35,640 Speaker 1: we think about the market, we're thinking about it as 512 00:27:35,720 --> 00:27:39,159 Speaker 1: a group of stocks that are weighted by their market 513 00:27:39,240 --> 00:27:43,000 Speaker 1: capitalization relative to each other. So when I think about beta, 514 00:27:43,480 --> 00:27:46,879 Speaker 1: that is just exposure to the market as it exists 515 00:27:46,920 --> 00:27:49,600 Speaker 1: in the market today, I'm buying more stocks that that 516 00:27:49,760 --> 00:27:52,560 Speaker 1: have higher market cabin less of stocks with lower market cap. 517 00:27:53,440 --> 00:27:56,919 Speaker 1: Smart beta or or sort of long only factor exposure 518 00:27:57,400 --> 00:28:00,720 Speaker 1: is where you don't you're still long only, but you've 519 00:28:00,760 --> 00:28:04,280 Speaker 1: got exposure only two stocks with certain characteristics. So you 520 00:28:04,440 --> 00:28:07,800 Speaker 1: let go of that cap waiting methodology and you begin 521 00:28:07,920 --> 00:28:11,639 Speaker 1: to wait based on something the attractiveness of valuations, or 522 00:28:11,680 --> 00:28:14,840 Speaker 1: how well it's done recently, or how defensive it is 523 00:28:14,960 --> 00:28:18,480 Speaker 1: low volatility, it is how the quality of the stocks earnings. 524 00:28:19,119 --> 00:28:22,320 Speaker 1: So those are smart beta portfolios. I'm still long only, 525 00:28:22,680 --> 00:28:24,600 Speaker 1: but I'm long a basket of stocks I think will 526 00:28:24,600 --> 00:28:27,919 Speaker 1: outperform the market because they have good characteristics. And then 527 00:28:28,119 --> 00:28:32,520 Speaker 1: power factors long short are smart beta minus bet at 528 00:28:32,600 --> 00:28:37,760 Speaker 1: just a smart part. Rob curious to see how you 529 00:28:37,880 --> 00:28:41,320 Speaker 1: are factoring in momentum at this point, if at all. 530 00:28:42,440 --> 00:28:45,120 Speaker 1: So we're always factoring in momentum. Momentum is one of 531 00:28:45,200 --> 00:28:49,000 Speaker 1: the factors that works across capsizes, so if you're a 532 00:28:49,080 --> 00:28:51,800 Speaker 1: big investor, you can still take advantage of momentum strategies. 533 00:28:52,040 --> 00:28:54,600 Speaker 1: The other thing about momentum is it's the same language 534 00:28:54,600 --> 00:28:57,640 Speaker 1: across asset classes, So it's very straightforward for me to 535 00:28:57,680 --> 00:29:00,920 Speaker 1: build a portfolio where I'm doing momentum cash equities, I'm 536 00:29:00,960 --> 00:29:04,040 Speaker 1: doing momentum in equity indices, I'm doing momentum in bonds 537 00:29:04,080 --> 00:29:07,959 Speaker 1: and commodities. It's it is a very robust factor, and frankly, 538 00:29:08,040 --> 00:29:10,880 Speaker 1: it's been a much better performing factor than value since 539 00:29:11,200 --> 00:29:17,120 Speaker 1: since it was discovered. Do you have I'm curious to 540 00:29:17,440 --> 00:29:20,800 Speaker 1: dig a little bit more into the momentum question. If 541 00:29:20,840 --> 00:29:24,920 Speaker 1: you've ever seen momentum like this before? You think of 542 00:29:25,000 --> 00:29:29,000 Speaker 1: the massive run up, the length of the bullmarket, and 543 00:29:29,120 --> 00:29:31,680 Speaker 1: the rate at which we have gotten to fresh record 544 00:29:31,760 --> 00:29:34,840 Speaker 1: highs every day. Have you seen this type of momentum before? 545 00:29:34,880 --> 00:29:37,760 Speaker 1: As you take a look at your factor models, we've 546 00:29:37,800 --> 00:29:40,240 Speaker 1: seen we haven't seen this length of a bull market 547 00:29:40,280 --> 00:29:42,600 Speaker 1: in stocks. I mean, I think that that's you know, unequivocal. 548 00:29:42,960 --> 00:29:45,480 Speaker 1: But what we've clearly seen is is runs where you 549 00:29:45,600 --> 00:29:49,200 Speaker 1: have made as much money being long or short based 550 00:29:49,240 --> 00:29:52,760 Speaker 1: on momentum. What's different in this market is that if 551 00:29:52,800 --> 00:29:55,400 Speaker 1: you're if you're if you're talking about trend trend falling, 552 00:29:55,440 --> 00:29:58,440 Speaker 1: which is momentum, but but but with a drifting bias 553 00:29:58,520 --> 00:30:01,400 Speaker 1: to being long and stuff is going well on average um. 554 00:30:02,280 --> 00:30:04,240 Speaker 1: This is not a market that's been permitted to fall. 555 00:30:04,800 --> 00:30:07,600 Speaker 1: So it used to be the case that when sentiment 556 00:30:07,720 --> 00:30:11,040 Speaker 1: got bad, it could get worse and get worse after that, 557 00:30:11,280 --> 00:30:13,720 Speaker 1: and that markets would continue to fall in there would 558 00:30:13,720 --> 00:30:17,160 Speaker 1: this be this building sort of bad sentiment that gets 559 00:30:17,200 --> 00:30:20,760 Speaker 1: worse and worse. That has not happened. Monetary policy has 560 00:30:20,800 --> 00:30:24,320 Speaker 1: got our back um and and anytime the market really 561 00:30:24,480 --> 00:30:28,160 Speaker 1: starts to do very poorly, monetary policy expectations change, treasury 562 00:30:28,280 --> 00:30:31,960 Speaker 1: yields plummet, and the party starts over again. And and 563 00:30:32,160 --> 00:30:34,480 Speaker 1: because of that, that's been hard because a lot of 564 00:30:34,960 --> 00:30:37,000 Speaker 1: as a factor investor, a lot of what we do 565 00:30:37,120 --> 00:30:40,600 Speaker 1: in factor space makes money when saying when sentiment changes 566 00:30:40,680 --> 00:30:42,600 Speaker 1: for the for the worst. That is a big part 567 00:30:42,640 --> 00:30:45,880 Speaker 1: of why factors have been so awful. Lately, so Rob. 568 00:30:46,040 --> 00:30:48,600 Speaker 1: You know, we started the conversation talking about a market 569 00:30:48,720 --> 00:30:52,000 Speaker 1: that has been uh shrugging it off or maybe in 570 00:30:52,160 --> 00:30:55,760 Speaker 1: the words of another tailor, Taylor Swift, shaking it off. 571 00:30:56,800 --> 00:31:00,760 Speaker 1: When you think about the coronavirus I risk, you think 572 00:31:00,840 --> 00:31:04,120 Speaker 1: about how global markets, and certainly the US market has 573 00:31:04,240 --> 00:31:08,640 Speaker 1: continued with a couple notable exceptions to really take it 574 00:31:08,720 --> 00:31:12,640 Speaker 1: in stride. Does that worry you at all? Does that 575 00:31:12,760 --> 00:31:15,360 Speaker 1: sort of go against what you would expect given all 576 00:31:15,720 --> 00:31:19,600 Speaker 1: the factors you talked about? It does a lot of 577 00:31:19,640 --> 00:31:22,760 Speaker 1: stuff worries us because but but as you know, those 578 00:31:22,840 --> 00:31:25,080 Speaker 1: worries are the same thing that cause an investor that 579 00:31:25,200 --> 00:31:28,720 Speaker 1: doesn't have discipline, doesn't have a process to bail out 580 00:31:28,800 --> 00:31:31,320 Speaker 1: before before they they've done as well as they can 581 00:31:31,360 --> 00:31:33,719 Speaker 1: in the market. You know, most of our investors need 582 00:31:33,760 --> 00:31:37,080 Speaker 1: to make seven plus percent return a year on average 583 00:31:37,160 --> 00:31:40,000 Speaker 1: in order to meet their their liabilities. And you can't 584 00:31:40,040 --> 00:31:42,360 Speaker 1: make that kind of return in a high valuation market, 585 00:31:42,480 --> 00:31:45,760 Speaker 1: especially if you're not invested, and so tapping out is 586 00:31:45,800 --> 00:31:49,720 Speaker 1: not an option. So what's left Well, you basically have 587 00:31:49,840 --> 00:31:52,880 Speaker 1: to manage risk very actively. You stay in the market, 588 00:31:53,000 --> 00:31:56,000 Speaker 1: and you monitor for for when the environment changes and 589 00:31:56,120 --> 00:31:59,160 Speaker 1: you adapted very quickly. And that's what we do across 590 00:31:59,240 --> 00:32:02,600 Speaker 1: our platform with all of our adapted strategies. All right. 591 00:32:02,720 --> 00:32:06,640 Speaker 1: Rob croch Is, senior portfolio manager for Risk Parody and 592 00:32:06,880 --> 00:32:09,520 Speaker 1: Managed Future, is talking to us about smart beta factors 593 00:32:09,880 --> 00:32:12,520 Speaker 1: and so much more. He works at Mellon joined us 594 00:32:12,560 --> 00:32:16,640 Speaker 1: on the phone from Boston. Thanks for listening to Bloomberg 595 00:32:16,680 --> 00:32:20,000 Speaker 1: Business Week. You can subscribe to the podcast on iTunes, SoundCloud, 596 00:32:20,080 --> 00:32:22,160 Speaker 1: or Bloomberg dot com. You can also listen to our 597 00:32:22,280 --> 00:32:25,120 Speaker 1: radio show every weekday at two pm Eastern only on 598 00:32:25,200 --> 00:32:26,000 Speaker 1: Bloomberg Radio