1 00:00:02,040 --> 00:00:06,000 Speaker 1: This is Master's in Business with very rid Holds on 2 00:00:06,240 --> 00:00:08,200 Speaker 1: Bloomberg Radio. 3 00:00:09,280 --> 00:00:12,200 Speaker 2: This week on the podcast, I have an extra special guest. 4 00:00:12,880 --> 00:00:17,239 Speaker 2: Mike Rockefeller of Woodline Partners launched what was one of 5 00:00:17,280 --> 00:00:20,880 Speaker 2: the hottest new hedge funds in a long time twenty nineteen. 6 00:00:20,960 --> 00:00:24,959 Speaker 2: He came out of the gate having previously worked at Citadel, 7 00:00:25,840 --> 00:00:29,600 Speaker 2: raising about two billion dollars in the new funds. Since then, 8 00:00:29,720 --> 00:00:33,360 Speaker 2: it's grown to about seven billion dollars. And they are 9 00:00:33,400 --> 00:00:38,040 Speaker 2: not the typical hedge fund. They run a very specific 10 00:00:38,560 --> 00:00:42,839 Speaker 2: sector focused type of fund. There are about thirteen different 11 00:00:42,880 --> 00:00:48,800 Speaker 2: portfolio managers, each focused on a different sub sector. It's 12 00:00:49,080 --> 00:00:52,720 Speaker 2: beta neutral, market neutral. They run long short across each 13 00:00:52,720 --> 00:00:56,000 Speaker 2: of these and they've put up some pretty impressive numbers 14 00:00:56,000 --> 00:01:00,200 Speaker 2: over the past couple of years. It's always interesting to 15 00:01:00,280 --> 00:01:03,360 Speaker 2: speak to a fund manager in the midst of one 16 00:01:03,400 --> 00:01:08,440 Speaker 2: of the craziest macro periods of the markets that we've 17 00:01:08,480 --> 00:01:12,640 Speaker 2: seen and god knows how long who doesn't factor in 18 00:01:13,200 --> 00:01:18,600 Speaker 2: macro events or the overall market because their market neutral 19 00:01:18,800 --> 00:01:21,720 Speaker 2: and hedged, and when they look at a sector, they 20 00:01:21,800 --> 00:01:24,360 Speaker 2: want to be long the very best stocks at the 21 00:01:24,360 --> 00:01:28,360 Speaker 2: best valuations they can and short the worst stocks at 22 00:01:28,400 --> 00:01:32,039 Speaker 2: the worst valuations. It's a fascinating strategy and it's one 23 00:01:32,080 --> 00:01:36,480 Speaker 2: that's been very successful. With no further ado my conversation 24 00:01:36,760 --> 00:01:40,320 Speaker 2: with Woodline Partners, Mike Rockefeller. 25 00:01:40,120 --> 00:01:42,039 Speaker 1: Thanks for having me, Berry, looking forward to the conversation 26 00:01:42,240 --> 00:01:42,800 Speaker 1: same here. 27 00:01:42,800 --> 00:01:46,280 Speaker 2: In fact, we had a conversation at an Emerging Manager's 28 00:01:46,880 --> 00:01:51,000 Speaker 2: panel back at Bloomberg invest earlier this year, and I 29 00:01:51,000 --> 00:01:54,240 Speaker 2: thought you would be great for Masters in Business. So 30 00:01:54,680 --> 00:01:57,880 Speaker 2: let's dive into your background. How did you get here? 31 00:01:57,960 --> 00:02:00,720 Speaker 2: Tell us a little bit about the early days of 32 00:02:00,760 --> 00:02:01,280 Speaker 2: your career. 33 00:02:01,800 --> 00:02:05,960 Speaker 1: Sure, so I was a neuroscience major in undergrad so 34 00:02:06,120 --> 00:02:10,280 Speaker 1: I had no intention of being an investment Yeah, it's 35 00:02:10,320 --> 00:02:12,440 Speaker 1: you know, a study of the brain and spinal cord. 36 00:02:13,000 --> 00:02:16,160 Speaker 1: Pretty specific, and you know, I just I love biology. 37 00:02:16,200 --> 00:02:19,280 Speaker 1: You know, the human body is so complex and will 38 00:02:19,280 --> 00:02:23,800 Speaker 1: never quite understand it. But I had this really unique 39 00:02:23,840 --> 00:02:28,440 Speaker 1: experience in between my junior and senior year of college. 40 00:02:28,560 --> 00:02:32,840 Speaker 1: I got an internship at a investment fund in Baltimore. 41 00:02:33,360 --> 00:02:35,240 Speaker 1: And this was two thousand and two at the time, 42 00:02:35,320 --> 00:02:39,040 Speaker 1: so they were not offering paid internships because the market 43 00:02:39,080 --> 00:02:43,160 Speaker 1: was still recovering from the tech bubble crash. But the 44 00:02:43,320 --> 00:02:48,120 Speaker 1: chief investment officer offered me an unpaid internship. And he said, 45 00:02:48,160 --> 00:02:49,919 Speaker 1: and this is what was interesting, that I could live 46 00:02:50,000 --> 00:02:52,160 Speaker 1: with him and his family for the summer. 47 00:02:52,880 --> 00:02:53,320 Speaker 2: So I. 48 00:02:54,840 --> 00:02:58,040 Speaker 1: Know, I know it's a big risk, but I did. 49 00:02:58,120 --> 00:03:00,800 Speaker 1: I went down there and I spent the summer. And 50 00:03:01,000 --> 00:03:03,440 Speaker 1: you know, I love sports, Barry, and you know, I 51 00:03:03,480 --> 00:03:05,639 Speaker 1: think they teach you so much about life. I was 52 00:03:05,680 --> 00:03:07,760 Speaker 1: not good enough to be a pro athlete, but I 53 00:03:07,880 --> 00:03:12,760 Speaker 1: was amazed how many similarities there were to investing and 54 00:03:12,800 --> 00:03:16,160 Speaker 1: being an athlete. You know, the competition, the practice, the 55 00:03:16,240 --> 00:03:21,680 Speaker 1: hard work, the score and the occasional randomness. Yes, yeah, 56 00:03:21,840 --> 00:03:25,880 Speaker 1: and you know, except in investing, the market is your competitor, 57 00:03:26,040 --> 00:03:29,920 Speaker 1: and your ability to understand businesses and what's priced into 58 00:03:29,919 --> 00:03:31,839 Speaker 1: a stock better than your peers is how you win. 59 00:03:33,080 --> 00:03:36,600 Speaker 1: So what was really amazing about that internship was was 60 00:03:36,640 --> 00:03:42,200 Speaker 1: actually how Eric, the chief investment officer, practiced. So what 61 00:03:42,200 --> 00:03:44,520 Speaker 1: I mean by that is that in the morning, he 62 00:03:44,520 --> 00:03:47,120 Speaker 1: would wake up early, and I saw how he prepared 63 00:03:47,160 --> 00:03:49,960 Speaker 1: for the day. On weekends, I saw how he would 64 00:03:49,960 --> 00:03:52,560 Speaker 1: prepare for the next week. I remember walking into his 65 00:03:52,640 --> 00:03:56,880 Speaker 1: living room on Saturday mornings and there'd be newspapers and 66 00:03:56,920 --> 00:04:00,840 Speaker 1: research reports and articles all over his living room. And 67 00:04:01,320 --> 00:04:04,440 Speaker 1: he said this is where it happens, you know, the learning. 68 00:04:05,240 --> 00:04:08,440 Speaker 1: So I was hooked. I said, this is this is 69 00:04:08,440 --> 00:04:11,720 Speaker 1: what I want my career to be. And I was 70 00:04:11,800 --> 00:04:14,840 Speaker 1: fortunate because I was twenty one years old at the time, 71 00:04:15,680 --> 00:04:21,120 Speaker 1: and from that moment, every step that I took was 72 00:04:21,160 --> 00:04:24,279 Speaker 1: to get to where I am right now, you know, 73 00:04:24,320 --> 00:04:28,080 Speaker 1: sitting with you Berry and and you know, investing and 74 00:04:28,160 --> 00:04:31,320 Speaker 1: being a part of a great investment firm. 75 00:04:31,720 --> 00:04:34,560 Speaker 2: So you start at the healthcare group as an analyst 76 00:04:34,600 --> 00:04:38,040 Speaker 2: in City in the early two thousands. Obviously the background 77 00:04:38,120 --> 00:04:39,200 Speaker 2: in neuro had to help. 78 00:04:39,600 --> 00:04:42,520 Speaker 1: Yeah, So after my experience in Baltimore, I wanted to 79 00:04:42,560 --> 00:04:45,760 Speaker 1: pivot to finance and came back to school and applied 80 00:04:45,760 --> 00:04:49,880 Speaker 1: to every major investment bank. That did not go so well. 81 00:04:50,640 --> 00:04:53,599 Speaker 1: No one called me back. It was late in the process. 82 00:04:53,960 --> 00:04:56,839 Speaker 1: Most most of the kids that were going into banking 83 00:04:56,880 --> 00:04:59,680 Speaker 1: at that time already had their jobs, and I didn't 84 00:04:59,680 --> 00:05:01,560 Speaker 1: have a back around that banks wanted. I had never 85 00:05:01,600 --> 00:05:06,120 Speaker 1: taken an account in our finance class. But finally City 86 00:05:06,560 --> 00:05:09,520 Speaker 1: did call me back and invited me to interview, and 87 00:05:09,600 --> 00:05:13,600 Speaker 1: I had four different interviews there and didn't get any 88 00:05:13,640 --> 00:05:17,479 Speaker 1: of the jobs. And so I went throughout my senior 89 00:05:17,560 --> 00:05:19,360 Speaker 1: year and didn't know exactly what I was going to do. 90 00:05:20,040 --> 00:05:24,080 Speaker 1: And fortunately, at the end of the year a couple 91 00:05:24,200 --> 00:05:28,800 Speaker 1: spots opened up, one in the healthcare division of the 92 00:05:28,839 --> 00:05:32,320 Speaker 1: investment bank, and they invited me in. I interview and 93 00:05:32,680 --> 00:05:33,360 Speaker 1: I got the job. 94 00:05:33,960 --> 00:05:34,919 Speaker 2: What was a job like? 95 00:05:35,640 --> 00:05:39,880 Speaker 1: Well, a couple weeks before I joined banking, someone gave 96 00:05:39,920 --> 00:05:41,720 Speaker 1: me a book called Monkey Business. Have you read that? 97 00:05:41,880 --> 00:05:42,359 Speaker 2: I have not. 98 00:05:43,279 --> 00:05:47,800 Speaker 1: So that book is about bankers at DLJ in the nineties, 99 00:05:47,839 --> 00:05:52,640 Speaker 1: you know, Premier investment bank, and it talks about how 100 00:05:53,279 --> 00:05:58,159 Speaker 1: they worked eighteen hour days, slept under their desk, endless 101 00:05:58,200 --> 00:06:02,840 Speaker 1: pitch books every weekend. And I thought to myself, there's 102 00:06:02,839 --> 00:06:04,800 Speaker 1: no way it could be like this anymore. That was 103 00:06:04,839 --> 00:06:07,880 Speaker 1: back then, and I have to tell you, Barry, it 104 00:06:07,960 --> 00:06:11,839 Speaker 1: was exactly like that. It was brutal. But I was 105 00:06:11,880 --> 00:06:14,720 Speaker 1: so grateful because I knew my life could have been different, 106 00:06:15,240 --> 00:06:17,560 Speaker 1: and so I was so happy to be there. I 107 00:06:17,640 --> 00:06:20,920 Speaker 1: learned a lot of skills, and probably the most important 108 00:06:21,000 --> 00:06:24,479 Speaker 1: skill that I learned was the basic principle of double 109 00:06:24,800 --> 00:06:27,560 Speaker 1: and triple checking your work and if you ever make 110 00:06:27,640 --> 00:06:29,880 Speaker 1: a mistake, don't ever make it again. 111 00:06:30,320 --> 00:06:34,039 Speaker 2: Huh. Really interesting. So you go from City, eventually to 112 00:06:34,480 --> 00:06:37,600 Speaker 2: Millennium and Morgan Stanley. Tell us about what you did 113 00:06:37,600 --> 00:06:38,320 Speaker 2: at those shops. 114 00:06:39,000 --> 00:06:41,760 Speaker 1: So in two thousand and four I joined Morgan Stanley 115 00:06:41,800 --> 00:06:45,960 Speaker 1: Equity Research. That was great. They had a star studded 116 00:06:46,000 --> 00:06:50,640 Speaker 1: cast of research analysts Byron Ween who sadly crossed away 117 00:06:50,680 --> 00:06:55,520 Speaker 1: recently he had retired, but he was still active, Henry 118 00:06:55,600 --> 00:06:58,360 Speaker 1: McVay who's now at KKR. He was the US strategist. 119 00:06:58,880 --> 00:07:01,680 Speaker 1: Katie Huberty, who's still there now, was a young, up 120 00:07:01,680 --> 00:07:05,279 Speaker 1: and coming tech analyst. And I worked for Jamie Rubin, 121 00:07:05,320 --> 00:07:08,279 Speaker 1: who was a top pharma analyst. And it was great 122 00:07:08,320 --> 00:07:11,320 Speaker 1: preparation for the buyside, you know, writing research reports, doing 123 00:07:11,320 --> 00:07:12,880 Speaker 1: the same kind of work that you would do as 124 00:07:12,880 --> 00:07:16,400 Speaker 1: an investor, except you're making recommendations instead of on the 125 00:07:16,440 --> 00:07:19,560 Speaker 1: buy side, you're actually putting those dollars to work and 126 00:07:19,640 --> 00:07:20,720 Speaker 1: structure in portfolio. 127 00:07:20,600 --> 00:07:23,000 Speaker 2: So now let's talk a little bit about the buy side. 128 00:07:23,040 --> 00:07:26,320 Speaker 2: Your next stop is Millennium. What was it like there? 129 00:07:27,280 --> 00:07:31,240 Speaker 1: So in early two thousand and eight, Millennium was looking 130 00:07:31,320 --> 00:07:33,560 Speaker 1: for an analyst at one of their funds out in 131 00:07:33,600 --> 00:07:38,360 Speaker 1: San Francisco, and I jumped at the opportunity. I had 132 00:07:38,360 --> 00:07:39,360 Speaker 1: never been to San Francisco. 133 00:07:39,600 --> 00:07:40,480 Speaker 2: You're working in New York. 134 00:07:40,560 --> 00:07:42,960 Speaker 1: I was working in New York and I jumped on 135 00:07:43,000 --> 00:07:46,440 Speaker 1: a plane and moved to San Francisco. That was my shot, 136 00:07:46,640 --> 00:07:51,440 Speaker 1: you know, So I was I was in. 137 00:07:50,120 --> 00:07:53,560 Speaker 2: Two thousand and eight, the start of the Great Financial Crisis. 138 00:07:53,600 --> 00:07:57,200 Speaker 2: What was it like being at Millennium as everything kind 139 00:07:57,200 --> 00:07:58,080 Speaker 2: of melted down? 140 00:07:59,320 --> 00:08:04,080 Speaker 1: So Millennium employees a market neutral equity strategy long short 141 00:08:04,200 --> 00:08:07,440 Speaker 1: in other words, exactly. And when I joined, I frankly 142 00:08:07,480 --> 00:08:11,000 Speaker 1: didn't appreciate the power of that type of investing. And 143 00:08:11,040 --> 00:08:13,760 Speaker 1: then the fall of two thousand and eight came and 144 00:08:14,040 --> 00:08:17,480 Speaker 1: I learned the power of that type of investing. And 145 00:08:18,160 --> 00:08:20,120 Speaker 1: to the credit of the portfolio manager that I was 146 00:08:20,160 --> 00:08:22,920 Speaker 1: working with, Josh Fisher, we were actually up that year. 147 00:08:23,200 --> 00:08:26,960 Speaker 2: Wow, that's pretty that's pretty impressive. So your next stop 148 00:08:27,080 --> 00:08:30,559 Speaker 2: is Citadel in twenty eleven and you spend six years there. 149 00:08:30,960 --> 00:08:35,480 Speaker 2: Citadel also, like Millennium, has a fantastic reputation. What was 150 00:08:35,520 --> 00:08:36,880 Speaker 2: your Citadel experience like? 151 00:08:37,679 --> 00:08:41,360 Speaker 1: So, during my time at Millennium, as my appreciation for 152 00:08:41,520 --> 00:08:45,200 Speaker 1: proper portfolio construction started to grow, I had heard that 153 00:08:45,320 --> 00:08:49,080 Speaker 1: Citadel was a pioneer in this type of investing. So 154 00:08:49,320 --> 00:08:52,040 Speaker 1: in twenty ten when they were looking for someone to 155 00:08:52,160 --> 00:08:55,600 Speaker 1: start their healthcare team in San Francisco, I jumped at 156 00:08:55,600 --> 00:08:59,760 Speaker 1: the opportunity. Citadel didn't jump as quickly as I did. 157 00:09:00,400 --> 00:09:05,480 Speaker 1: That was an eleven month interview process, Yeah, including in 158 00:09:05,640 --> 00:09:09,680 Speaker 1: all day what you would consider FBI like interview where 159 00:09:09,679 --> 00:09:12,760 Speaker 1: they dig through every piece of your background. It was 160 00:09:12,880 --> 00:09:16,320 Speaker 1: very intense, but fortunately Ken Griffin took a shot on 161 00:09:16,400 --> 00:09:19,320 Speaker 1: me in what turned out to be a life changing 162 00:09:19,320 --> 00:09:23,160 Speaker 1: opportunity to build a business. And by the way, everything 163 00:09:23,320 --> 00:09:26,120 Speaker 1: that I had heard on the outside about the quality 164 00:09:26,160 --> 00:09:29,200 Speaker 1: of people at Citadel and the investment process that they employ, 165 00:09:29,440 --> 00:09:30,600 Speaker 1: it was all true. Wow. 166 00:09:30,840 --> 00:09:33,200 Speaker 2: So that had to be a fun experience. Had to 167 00:09:33,200 --> 00:09:36,960 Speaker 2: be a tough decision to make to leave a shop 168 00:09:37,040 --> 00:09:38,520 Speaker 2: like Citadel. 169 00:09:38,920 --> 00:09:42,560 Speaker 1: It was. My partners and I were incredibly fortunate to 170 00:09:42,640 --> 00:09:45,600 Speaker 1: grow up at Citadel. It was there that we learned 171 00:09:45,640 --> 00:09:50,400 Speaker 1: a unique and differentiated approach to portfolio construction and investing 172 00:09:50,960 --> 00:09:55,520 Speaker 1: where the output was an uncorrelated alpha return stream. 173 00:09:56,120 --> 00:09:58,720 Speaker 2: What made you decide to say, hey, we really need 174 00:09:58,760 --> 00:10:02,920 Speaker 2: to do this as a stands alone outside of a 175 00:10:02,960 --> 00:10:05,720 Speaker 2: big complex fund like Citadel. 176 00:10:06,000 --> 00:10:09,719 Speaker 1: Yeah. So Woodline was founded by myself, Carl Kraaker our 177 00:10:09,840 --> 00:10:13,680 Speaker 1: co chief investment officer, Matt Hooker, our chief operating officer, 178 00:10:13,880 --> 00:10:15,960 Speaker 1: and then a group of us who worked together for 179 00:10:16,040 --> 00:10:20,240 Speaker 1: many years, and we studied the industry leaders of the 180 00:10:20,280 --> 00:10:24,640 Speaker 1: past twenty years, and we believed that we could iterate 181 00:10:24,720 --> 00:10:28,760 Speaker 1: and improve on those learnings and create a durable investment 182 00:10:28,800 --> 00:10:31,720 Speaker 1: firm that would thrive in the future. And our vision 183 00:10:32,240 --> 00:10:35,280 Speaker 1: was to create an investment partnership like you'd find with 184 00:10:35,320 --> 00:10:39,000 Speaker 1: a Wellington or a Capital Group, with the risk management 185 00:10:39,040 --> 00:10:43,920 Speaker 1: expertise of Citadel, wrapped in a specialist structure at Woodline. 186 00:10:44,280 --> 00:10:47,800 Speaker 2: So what was it like when you had to tell Ken, Hey, 187 00:10:47,920 --> 00:10:51,720 Speaker 2: this has been great, but I want to I want 188 00:10:51,720 --> 00:10:54,959 Speaker 2: to hang my own shingle out. How supportive was he? 189 00:10:56,200 --> 00:11:04,840 Speaker 1: The whole process was exciting, occult, scary, wonderful, all of 190 00:11:04,840 --> 00:11:09,160 Speaker 1: those things. And leaving a successful career and starting your 191 00:11:09,160 --> 00:11:13,400 Speaker 1: own business makes no sense on paper. The chance of 192 00:11:13,400 --> 00:11:16,360 Speaker 1: failure is so high, and it was a bad decision 193 00:11:16,440 --> 00:11:20,920 Speaker 1: financially initially, So we had to make a choice between 194 00:11:21,920 --> 00:11:28,840 Speaker 1: comfort and creation. And I remember reading Jeff Bezos's bio 195 00:11:28,920 --> 00:11:32,120 Speaker 1: at the time, and it talks about how Jeff was 196 00:11:32,160 --> 00:11:34,880 Speaker 1: working at d SHAW in the mid nineties, and he 197 00:11:34,920 --> 00:11:37,199 Speaker 1: had a great job, and he had an idea to 198 00:11:37,240 --> 00:11:40,559 Speaker 1: start an internet company. So he goes to David Shaw 199 00:11:41,160 --> 00:11:44,080 Speaker 1: and he tells him about his idea. David Shaw says, Jeff, 200 00:11:44,120 --> 00:11:46,840 Speaker 1: this is a great idea for someone who doesn't already 201 00:11:46,880 --> 00:11:49,040 Speaker 1: have a great job. You know, why don't you take 202 00:11:49,080 --> 00:11:52,760 Speaker 1: the weekend to think about it. So Jeff went home 203 00:11:53,040 --> 00:11:59,439 Speaker 1: and he applied what he coined as the regret minimization theory. Basically, 204 00:11:59,520 --> 00:12:02,040 Speaker 1: when he's a eighty years old, what decision is he 205 00:12:02,080 --> 00:12:06,559 Speaker 1: going to regret less? And he chose out Amazon, which 206 00:12:06,600 --> 00:12:07,839 Speaker 1: worked out very well for him. 207 00:12:08,120 --> 00:12:10,320 Speaker 2: Literally threw all the stuff in a car and drove 208 00:12:10,360 --> 00:12:12,080 Speaker 2: across country that next Monday. 209 00:12:12,240 --> 00:12:16,040 Speaker 1: Yeah, and it was so inspiring. And obviously Amazon is 210 00:12:16,360 --> 00:12:19,920 Speaker 1: a different scale, But I will say I asked myself 211 00:12:19,920 --> 00:12:22,319 Speaker 1: a similar question, which is, do I want to go 212 00:12:22,440 --> 00:12:25,360 Speaker 1: on this journey even if I never get to where 213 00:12:25,400 --> 00:12:25,800 Speaker 1: I'm going? 214 00:12:26,280 --> 00:12:30,199 Speaker 2: Huh? Really really quite fascinating. What was the most surprising 215 00:12:30,240 --> 00:12:33,360 Speaker 2: thing you learned when you were launching your own firm? 216 00:12:33,400 --> 00:12:36,040 Speaker 2: What what kind of struck you as Huh? I didn't 217 00:12:36,040 --> 00:12:37,199 Speaker 2: really expect that to happen. 218 00:12:39,160 --> 00:12:43,560 Speaker 1: I think how difficult it was to raise money you know, 219 00:12:43,720 --> 00:12:46,800 Speaker 1: it was it was a rough first few months. 220 00:12:46,800 --> 00:12:49,679 Speaker 2: Didn't you guys launch with a big chunk of cash though, 221 00:12:49,760 --> 00:12:50,760 Speaker 2: like two billion dollars. 222 00:12:51,040 --> 00:12:54,319 Speaker 1: We did, but we had trouble finding investors in the beginning, 223 00:12:55,160 --> 00:12:57,920 Speaker 1: and we had a lot of people on board who 224 00:12:58,000 --> 00:13:01,400 Speaker 1: left great jobs who were eyeing on us to get 225 00:13:01,400 --> 00:13:05,760 Speaker 1: funding and pressure there, a little bit of pressure, yeah, 226 00:13:05,800 --> 00:13:07,480 Speaker 1: and then you know, it's it's it's a different kind 227 00:13:07,480 --> 00:13:10,000 Speaker 1: of pressure when you when you're now responsible for so 228 00:13:10,160 --> 00:13:14,760 Speaker 1: many people. And so we eventually made the decision to 229 00:13:14,880 --> 00:13:18,160 Speaker 1: fly to the Middle East to meet with a large investor, 230 00:13:18,360 --> 00:13:22,000 Speaker 1: hoping they would partner with us. And on the flight over, 231 00:13:22,040 --> 00:13:23,600 Speaker 1: I remember waking up in the middle of the night. 232 00:13:24,040 --> 00:13:26,920 Speaker 1: I looked up. The whole plane was dark except for 233 00:13:27,000 --> 00:13:29,400 Speaker 1: one light on in the back of coach, and that 234 00:13:29,600 --> 00:13:34,120 Speaker 1: was our COO, Matt Hooker, cranking away. And to say 235 00:13:34,160 --> 00:13:37,360 Speaker 1: we were prepared for that meeting, you know, as an understatement. 236 00:13:37,880 --> 00:13:40,280 Speaker 1: So we get all the way over there, they brought 237 00:13:40,440 --> 00:13:42,640 Speaker 1: they brought us into this huge auditorium to present to 238 00:13:42,679 --> 00:13:45,800 Speaker 1: their team, and you know, we were like, okay, this 239 00:13:45,880 --> 00:13:48,480 Speaker 1: is it, this is our chance. One gentleman comes in, 240 00:13:48,720 --> 00:13:52,040 Speaker 1: he sits down. We waited a few minutes. We then 241 00:13:52,120 --> 00:13:54,680 Speaker 1: asked where everyone else was, and he said he was 242 00:13:54,679 --> 00:13:58,360 Speaker 1: the only one coming. Everyone else was busy so much 243 00:13:58,559 --> 00:14:01,760 Speaker 1: so we ended up presenting to just Tim, and suffice 244 00:14:01,760 --> 00:14:07,320 Speaker 1: to say, we walked away empty handed. But fortunately, a 245 00:14:07,360 --> 00:14:11,480 Speaker 1: couple weeks later, two partners came to the table and 246 00:14:11,520 --> 00:14:15,240 Speaker 1: anchored our launch, and like that we were in business. 247 00:14:15,280 --> 00:14:18,760 Speaker 2: Wow, really really interesting. So let's talk a little bit 248 00:14:19,000 --> 00:14:23,640 Speaker 2: about your launch in twenty nineteen. You come out of 249 00:14:23,640 --> 00:14:27,239 Speaker 2: the gate pretty fast. Not a lot of emerging managers 250 00:14:27,680 --> 00:14:30,720 Speaker 2: start with over a billion dollars. You guys were close 251 00:14:30,760 --> 00:14:33,560 Speaker 2: to two billion. You know you have since really ran 252 00:14:33,680 --> 00:14:38,080 Speaker 2: that up in the ensuing four years to over seven 253 00:14:38,160 --> 00:14:41,040 Speaker 2: billion dollars. Tell us a little bit about how you 254 00:14:41,080 --> 00:14:43,400 Speaker 2: built the firm and how it's structured. 255 00:14:44,200 --> 00:14:48,800 Speaker 1: So we structured Woodline to enable our world class decision 256 00:14:48,840 --> 00:14:51,280 Speaker 1: makers to operate at their very best. And there's a 257 00:14:51,320 --> 00:14:53,680 Speaker 1: few key elements to that. One is we have a 258 00:14:53,800 --> 00:14:58,400 Speaker 1: deep specialist approach, so where our teams are experts in 259 00:14:58,440 --> 00:15:01,440 Speaker 1: the stocks that they cover. We also have a sole 260 00:15:01,560 --> 00:15:04,680 Speaker 1: coverage model, so that means one person or one team 261 00:15:04,760 --> 00:15:09,040 Speaker 1: is responsible for their group of names, no overlap. Our 262 00:15:09,080 --> 00:15:13,880 Speaker 1: teams are also small and autonomous such that they can 263 00:15:13,920 --> 00:15:17,920 Speaker 1: make decisions. Because we believe that people closest to the 264 00:15:17,960 --> 00:15:22,960 Speaker 1: ground can make the best portfolio management decisions. And since 265 00:15:23,000 --> 00:15:27,480 Speaker 1: I mentioned Bezos earlier, he has a great quote. He says, 266 00:15:27,520 --> 00:15:30,400 Speaker 1: great teams should be small enough such that you can 267 00:15:30,440 --> 00:15:34,360 Speaker 1: feed all of them with two pizzas. That's a good concept. 268 00:15:35,320 --> 00:15:38,200 Speaker 1: We believe our senior team should have many years of 269 00:15:38,240 --> 00:15:43,040 Speaker 1: experience perfecting their craft. There's a gentleman named Anders Ericsson. 270 00:15:43,120 --> 00:15:45,960 Speaker 1: He's done great work on Mastery and he says that 271 00:15:46,120 --> 00:15:50,960 Speaker 1: expert performance requires intense and deliberate practice for at least 272 00:15:51,040 --> 00:15:54,840 Speaker 1: ten years. Our pms have eighteen years of experience. 273 00:15:55,800 --> 00:15:58,640 Speaker 2: So you started with about twenty five employees, you have 274 00:15:58,760 --> 00:16:01,800 Speaker 2: since ramped that up to over seventy five people. What's 275 00:16:01,840 --> 00:16:06,240 Speaker 2: it like managing all those people and that degree of growth. 276 00:16:07,440 --> 00:16:12,760 Speaker 1: We set up a Cocio model to deal with that 277 00:16:12,880 --> 00:16:15,280 Speaker 1: vario issue so that we could attract the best talent, 278 00:16:16,360 --> 00:16:21,200 Speaker 1: leverage the skills and capabilities of Carl and myself, allowing 279 00:16:21,280 --> 00:16:25,560 Speaker 1: us to have more time both to invest. And we 280 00:16:25,600 --> 00:16:29,160 Speaker 1: also set up a management structure of Matt, Carl and 281 00:16:29,240 --> 00:16:33,720 Speaker 1: myself where every decision is made with a two thirds vote, 282 00:16:34,040 --> 00:16:39,080 Speaker 1: and that allows us to really delineate our duties to 283 00:16:39,400 --> 00:16:43,080 Speaker 1: where we see fit and has provided us the ability 284 00:16:43,120 --> 00:16:45,440 Speaker 1: to manage a very complex infrastructure. 285 00:16:45,720 --> 00:16:50,440 Speaker 2: So not ties it takes to you to really move 286 00:16:50,480 --> 00:16:56,800 Speaker 2: a decision forward. Carl is your cocio, Metta is running operations. 287 00:16:57,240 --> 00:16:59,640 Speaker 2: So how much does that free you and Carl up 288 00:16:59,640 --> 00:17:00,560 Speaker 2: toll becus on the. 289 00:17:00,520 --> 00:17:04,840 Speaker 1: Investing We get that question a lot, and we tell 290 00:17:04,960 --> 00:17:10,000 Speaker 1: investors that both Carl and I spend more time now 291 00:17:10,520 --> 00:17:14,719 Speaker 1: as cocios of Woodline actually investing in our portfolios than 292 00:17:14,720 --> 00:17:17,560 Speaker 1: we did at Citadel, which is an amazing stat. 293 00:17:18,280 --> 00:17:20,879 Speaker 2: And is that because of the structure where you began 294 00:17:21,000 --> 00:17:25,080 Speaker 2: with someone running operations. It wasn't an afterthought a few 295 00:17:25,119 --> 00:17:27,080 Speaker 2: years down the road exactly. 296 00:17:27,240 --> 00:17:31,000 Speaker 1: Yeah, that structure was thought out so that we could 297 00:17:31,040 --> 00:17:34,119 Speaker 1: focus on investing rather than having to spend all of 298 00:17:34,119 --> 00:17:35,439 Speaker 1: our days managing people. 299 00:17:35,960 --> 00:17:37,959 Speaker 2: So let's talk about some of those people. You have 300 00:17:38,040 --> 00:17:44,399 Speaker 2: thirteen portfolio managers plus including you and Carl. You've talked 301 00:17:44,440 --> 00:17:47,359 Speaker 2: about a player coach model. Explain what that is. 302 00:17:48,119 --> 00:17:50,960 Speaker 1: So that's correct. So thirteen pms, including Carl and myself. 303 00:17:51,440 --> 00:17:55,320 Speaker 1: We also have very seasoned analysts running portfolios, some not 304 00:17:56,240 --> 00:17:58,400 Speaker 1: These are people truly the best at what they do. 305 00:17:59,320 --> 00:18:01,679 Speaker 1: And what we mean player Coach is that Carl and 306 00:18:01,720 --> 00:18:05,480 Speaker 1: I didn't want to just take the traditional chief investment 307 00:18:05,520 --> 00:18:09,639 Speaker 1: officer role of management. We wanted to invest, and so 308 00:18:09,760 --> 00:18:13,960 Speaker 1: Carl and I actually run individual portfolios within Woodline. So 309 00:18:14,040 --> 00:18:17,760 Speaker 1: Carl runs a semi conductor portfolio, myself and my team 310 00:18:17,840 --> 00:18:20,120 Speaker 1: led by a Niche Kapor and Brian Schmidt, run a 311 00:18:20,119 --> 00:18:23,040 Speaker 1: bio pharma portfolio, and we spend most of our days 312 00:18:23,040 --> 00:18:24,400 Speaker 1: on those portfolios. 313 00:18:24,840 --> 00:18:28,000 Speaker 2: And then how much time do you devote to managing 314 00:18:28,119 --> 00:18:31,359 Speaker 2: the other eleven or so pms. 315 00:18:32,240 --> 00:18:35,840 Speaker 1: I would say we spend about seventy five percent of 316 00:18:35,880 --> 00:18:39,760 Speaker 1: our time on our existing portfolios that we're running, and 317 00:18:39,920 --> 00:18:44,359 Speaker 1: the remainder of our time managing others and thinking about 318 00:18:44,600 --> 00:18:45,680 Speaker 1: the business strategically. 319 00:18:45,800 --> 00:18:49,520 Speaker 2: So let's talk about your investment process. You come from 320 00:18:49,640 --> 00:18:56,520 Speaker 2: a biotech background, Carl has a semiconductor background. Tell us 321 00:18:56,520 --> 00:19:00,480 Speaker 2: a little bit about a process that has a dozen 322 00:19:00,600 --> 00:19:04,040 Speaker 2: or so different pms, each with a different focus. 323 00:19:05,600 --> 00:19:07,720 Speaker 1: We each have a different focus, but we all have 324 00:19:07,840 --> 00:19:12,280 Speaker 1: the same bottoms up fundamental research process. The teams spend 325 00:19:12,320 --> 00:19:15,360 Speaker 1: the majority of their time on research and learning about 326 00:19:15,400 --> 00:19:18,640 Speaker 1: the companies that they cover. Each team covers a small 327 00:19:18,760 --> 00:19:21,600 Speaker 1: group on average of about fifty to seventy names, so 328 00:19:21,680 --> 00:19:24,800 Speaker 1: they can understand them better and they come up with 329 00:19:24,960 --> 00:19:28,320 Speaker 1: unique insights on those stocks in their universe that may 330 00:19:28,320 --> 00:19:31,639 Speaker 1: not be appreciated by the market, and then structure portfolios 331 00:19:31,640 --> 00:19:32,719 Speaker 1: around those ideas. 332 00:19:33,080 --> 00:19:36,680 Speaker 2: So when we think of the typical bottoms up stockpicker, 333 00:19:37,760 --> 00:19:41,840 Speaker 2: it seems like there's a whole lot of variation, But 334 00:19:42,400 --> 00:19:46,560 Speaker 2: lots of funds tend to look like other funds. You 335 00:19:46,600 --> 00:19:51,600 Speaker 2: guys seem to look very different than the typical either 336 00:19:51,680 --> 00:19:57,200 Speaker 2: sector focused or bottoms up stockpicking focused fund. What makes 337 00:19:57,200 --> 00:20:00,000 Speaker 2: Woodline a little different, a little more unique. 338 00:20:00,920 --> 00:20:05,280 Speaker 1: It really comes down to our portfolio construction. We hedge 339 00:20:05,320 --> 00:20:11,760 Speaker 1: out not just market beta, but any factors that we 340 00:20:11,880 --> 00:20:16,280 Speaker 1: can't predict. We focus solely on what is predictable, and 341 00:20:16,400 --> 00:20:20,520 Speaker 1: we construct portfolios around that so that we don't succumb 342 00:20:20,600 --> 00:20:23,160 Speaker 1: to factors that are moving the market on a day 343 00:20:23,240 --> 00:20:25,440 Speaker 1: in and day out basis. That's a key differentiation. 344 00:20:25,560 --> 00:20:28,320 Speaker 2: Give us some examples of those factors that you're looking 345 00:20:28,359 --> 00:20:29,159 Speaker 2: to hedge out. 346 00:20:29,640 --> 00:20:32,320 Speaker 1: Yes, So in addition to beta, you know, there's many 347 00:20:32,359 --> 00:20:35,800 Speaker 1: factors that are moving stocks outside of what is idiosyncratic 348 00:20:35,840 --> 00:20:38,920 Speaker 1: to a particular company. In fact, you can model these 349 00:20:38,920 --> 00:20:44,240 Speaker 1: factors and their influence on stocks, so momentum, value, growth, 350 00:20:44,640 --> 00:20:49,240 Speaker 1: short interest, and like other macro cross currents, we don't 351 00:20:49,240 --> 00:20:51,919 Speaker 1: have a unique advantage in predicting these factors, so we 352 00:20:52,000 --> 00:20:52,560 Speaker 1: hedge them out. 353 00:20:52,920 --> 00:20:58,160 Speaker 2: Huh. So you describe your key overwriting strategy as market 354 00:20:58,240 --> 00:21:03,200 Speaker 2: neutral equity focus on the global healthcare sector. Let's break 355 00:21:03,200 --> 00:21:06,760 Speaker 2: that down. Market neutral means most of the time you're 356 00:21:06,840 --> 00:21:10,360 Speaker 2: running long short. Is it long short against the market 357 00:21:10,520 --> 00:21:12,240 Speaker 2: or long short within the sector? 358 00:21:13,040 --> 00:21:17,520 Speaker 1: We run neutral to the market and to the sub 359 00:21:17,600 --> 00:21:19,119 Speaker 1: sector that we're in both. 360 00:21:19,320 --> 00:21:22,720 Speaker 2: Yes, So that's got to be a challenging strategy to 361 00:21:23,280 --> 00:21:25,960 Speaker 2: create for hedging both at the same time. 362 00:21:26,920 --> 00:21:29,879 Speaker 1: And that's why we have a specialist structure. So we 363 00:21:30,400 --> 00:21:33,439 Speaker 1: instead of having a healthcare PM or a tech PM, 364 00:21:33,880 --> 00:21:37,719 Speaker 1: we have a semiconductors PM, we have a medical device PM. 365 00:21:38,320 --> 00:21:42,000 Speaker 1: Just focusing on those fifty to seventy names within those 366 00:21:42,040 --> 00:21:45,600 Speaker 1: sub sectors and then structuring portfolios within those sub sectors. 367 00:21:45,640 --> 00:21:49,520 Speaker 1: So you have to be a specialist to take this approach. 368 00:21:49,600 --> 00:21:53,359 Speaker 2: And a lot of funds that have found success seem 369 00:21:53,440 --> 00:21:57,480 Speaker 2: to have run some pretty concentrated portfolios they hit a 370 00:21:57,480 --> 00:22:01,240 Speaker 2: couple of big winners and it's worked out. You don't 371 00:22:01,240 --> 00:22:04,920 Speaker 2: take that approach. Woodline has about twelve hundred positions. That 372 00:22:05,119 --> 00:22:09,439 Speaker 2: seems almost like a closet index, but your performance doesn't 373 00:22:09,560 --> 00:22:13,159 Speaker 2: track an index. You guys are absolutely not closet indexers. 374 00:22:13,800 --> 00:22:15,320 Speaker 2: Why so many positions? 375 00:22:16,320 --> 00:22:19,920 Speaker 1: The reason why it exists is because of our twenty 376 00:22:20,160 --> 00:22:24,680 Speaker 1: individually constructed subsector portfolios that feed up into a master 377 00:22:24,800 --> 00:22:27,680 Speaker 1: fund and the end result of that is over one 378 00:22:27,680 --> 00:22:30,760 Speaker 1: thousand unique positions. 379 00:22:31,320 --> 00:22:36,480 Speaker 2: So less concentrated exposure. What does that big of a 380 00:22:36,560 --> 00:22:40,000 Speaker 2: set of holdings? Due to the funds of volatility and 381 00:22:40,480 --> 00:22:42,240 Speaker 2: return patterns. 382 00:22:42,800 --> 00:22:48,639 Speaker 1: So we offer investors and uncorrelated diversified return stream. Investors 383 00:22:48,640 --> 00:22:51,080 Speaker 1: can expect us to be up or down one percent 384 00:22:51,320 --> 00:22:58,720 Speaker 1: a month and our vall is around five percent annually. 385 00:22:58,960 --> 00:23:02,720 Speaker 2: Huh, not too bad. What do you do in terms 386 00:23:02,760 --> 00:23:04,919 Speaker 2: of risk management? How do you stay on top of 387 00:23:06,200 --> 00:23:08,920 Speaker 2: Obviously you don't have a whole lot of concentration risk, 388 00:23:09,359 --> 00:23:12,320 Speaker 2: but just generally speaking, what's the risk management process like? 389 00:23:13,359 --> 00:23:19,000 Speaker 1: So each of the portfolios are running a high idiosyncratic 390 00:23:19,160 --> 00:23:22,840 Speaker 1: ball portfolio on their own, and it all feeds up 391 00:23:22,840 --> 00:23:28,639 Speaker 1: into the master fund, which creates a great product, but 392 00:23:28,720 --> 00:23:32,640 Speaker 1: we also monitor that from a top level, both Carl 393 00:23:32,880 --> 00:23:37,359 Speaker 1: and Matt and myself. You know, we'll meet weekly and 394 00:23:37,680 --> 00:23:40,719 Speaker 1: look daily at our exposures and make any adjustments so 395 00:23:40,760 --> 00:23:43,320 Speaker 1: that we continue to make sure that we are completely 396 00:23:43,359 --> 00:23:45,600 Speaker 1: neutral to any macro factors. 397 00:23:45,800 --> 00:23:49,200 Speaker 2: H quite intriguing. So let's talk about some of those 398 00:23:49,200 --> 00:23:55,520 Speaker 2: sectors you focus on, tech, healthcare, industrials, energy, and consumer. 399 00:23:56,200 --> 00:23:59,240 Speaker 2: Why these sectors they almost seem unrelated. 400 00:24:00,040 --> 00:24:03,639 Speaker 1: Well, the primary driver in deciding where to invest is 401 00:24:03,680 --> 00:24:07,840 Speaker 1: great talent. That's what we look at first. The secondary 402 00:24:08,000 --> 00:24:10,680 Speaker 1: component is that we look for sub sectors that have 403 00:24:10,960 --> 00:24:17,560 Speaker 1: the most disruption, innovation, and stock specific idiosyncratic volatility. 404 00:24:18,520 --> 00:24:23,440 Speaker 2: Those sectors that you're focusing on, there's the greatest mispricing 405 00:24:23,600 --> 00:24:27,320 Speaker 2: versus what the market believes. How do you how do 406 00:24:27,359 --> 00:24:31,280 Speaker 2: you look at these sub sectors versus the general consensus. 407 00:24:31,640 --> 00:24:37,040 Speaker 1: Usually they have the greatest complexity and the greatest disruption, 408 00:24:37,440 --> 00:24:42,000 Speaker 1: and therefore there's a larger spread between winners and losers. 409 00:24:42,480 --> 00:24:46,119 Speaker 1: And that's what's required to have a portfolio where the 410 00:24:46,240 --> 00:24:49,240 Speaker 1: performance is really driven by our relative stock picking. 411 00:24:49,640 --> 00:24:53,560 Speaker 2: Huh. That's interesting. In the past, you've mentioned that Woodline 412 00:24:53,640 --> 00:24:58,360 Speaker 2: established a network of corporate execs and industry relationships. Tell 413 00:24:58,440 --> 00:25:02,920 Speaker 2: us how you're using this network to generate alpha. 414 00:25:03,040 --> 00:25:07,160 Speaker 1: So we're very fortunate to spend our days building relationships 415 00:25:07,160 --> 00:25:11,280 Speaker 1: with some of the world's leading executives. And these executives 416 00:25:11,320 --> 00:25:15,439 Speaker 1: have a full plate of managing complex businesses, and so 417 00:25:15,480 --> 00:25:17,840 Speaker 1: we're appreciative of the time that they spend with us 418 00:25:17,920 --> 00:25:20,720 Speaker 1: and the members of the Woodline team. We have a 419 00:25:20,760 --> 00:25:25,560 Speaker 1: responsibility to create a mutually beneficial engagement, and so we 420 00:25:25,600 --> 00:25:29,359 Speaker 1: need to be well prepared, ask thoughtful questions and hopefully 421 00:25:29,400 --> 00:25:31,560 Speaker 1: find ways to add value in terms of what we're 422 00:25:31,600 --> 00:25:35,760 Speaker 1: seeing across the industry. And then in return, we get 423 00:25:35,760 --> 00:25:37,840 Speaker 1: to have a front row seat of what these companies 424 00:25:37,880 --> 00:25:39,720 Speaker 1: are doing and where they're going. 425 00:25:40,840 --> 00:25:44,480 Speaker 2: Huh interesting. So, in the way you structured the firm, 426 00:25:45,119 --> 00:25:48,520 Speaker 2: you Woodline does not have a full pass through. Tell 427 00:25:48,600 --> 00:25:50,560 Speaker 2: us a little bit about firms that do have a 428 00:25:50,600 --> 00:25:55,240 Speaker 2: pass through and why you elected not to go that way. 429 00:25:56,080 --> 00:25:58,639 Speaker 1: That was one of the most important questions to answer 430 00:25:58,800 --> 00:26:03,159 Speaker 1: when setting up the firm. We believed that establishing a 431 00:26:03,200 --> 00:26:06,320 Speaker 1: partnership model more akin to what you would find with 432 00:26:06,520 --> 00:26:10,120 Speaker 1: a private equity shop, as the best approach. And we're 433 00:26:10,160 --> 00:26:14,760 Speaker 1: called Woodline partners for a reason. The partnership structure, coupled 434 00:26:14,760 --> 00:26:19,280 Speaker 1: with our sole coverage model has allowed us to compete 435 00:26:19,280 --> 00:26:20,280 Speaker 1: effectively for talent. 436 00:26:20,800 --> 00:26:23,880 Speaker 2: So let's talk a little bit about that. On a 437 00:26:23,920 --> 00:26:28,480 Speaker 2: pass through model, if you're a fund manager that's doing 438 00:26:29,160 --> 00:26:32,600 Speaker 2: well and the firm is doing poorly, you still get 439 00:26:32,680 --> 00:26:35,760 Speaker 2: full bonuses and everything else. Everybody else takes a hit. 440 00:26:36,280 --> 00:26:39,400 Speaker 2: This is more of a all for one and one 441 00:26:39,440 --> 00:26:43,000 Speaker 2: for all, sort of a three Musketeers approach. Everybody is 442 00:26:43,040 --> 00:26:46,840 Speaker 2: a partner in the firm, not just running their own 443 00:26:46,840 --> 00:26:47,840 Speaker 2: independent fiefdom. 444 00:26:48,320 --> 00:26:53,680 Speaker 1: That's correct, and it really aligns incentives with our employees 445 00:26:54,200 --> 00:26:56,600 Speaker 1: and our LPs so that we're all driving for the 446 00:26:56,600 --> 00:26:57,120 Speaker 1: same goal. 447 00:26:58,119 --> 00:27:00,720 Speaker 2: What does the lack of a pay us through do 448 00:27:01,119 --> 00:27:02,760 Speaker 2: when you're competing for talent? 449 00:27:06,240 --> 00:27:11,800 Speaker 1: So far, it has not impacted us because the partnership 450 00:27:11,960 --> 00:27:16,800 Speaker 1: model has been an attractive component to candidates looking at Woodline. 451 00:27:17,119 --> 00:27:20,080 Speaker 1: And also the sole coverage is an important component. When 452 00:27:20,119 --> 00:27:23,040 Speaker 1: you are looking at a platform and you join, you know, 453 00:27:23,080 --> 00:27:28,440 Speaker 1: another multi manager, you're one of two, three, four, six, eight, 454 00:27:28,640 --> 00:27:32,879 Speaker 1: twenty teams covering the same stocks, and it's more of 455 00:27:32,920 --> 00:27:37,840 Speaker 1: a mercenary type of approach. At Woodline, we only have 456 00:27:38,200 --> 00:27:42,399 Speaker 1: one software PM, that's Elliott Wilson. You know, we only 457 00:27:42,440 --> 00:27:45,320 Speaker 1: have one medical device PM that's Chris Hawkins. They are 458 00:27:45,800 --> 00:27:46,560 Speaker 1: the key people. 459 00:27:47,720 --> 00:27:51,720 Speaker 2: So given that, let's talk about some of those sub sectors. 460 00:27:52,880 --> 00:27:56,880 Speaker 2: When you say you cover tech, how many different subsectors 461 00:27:57,000 --> 00:27:58,200 Speaker 2: are under technology? 462 00:27:59,119 --> 00:28:03,679 Speaker 1: There are four sub sectors currently under technology. There are 463 00:28:03,920 --> 00:28:07,639 Speaker 1: four sub sectors currently under healthcare, and we break them 464 00:28:07,720 --> 00:28:15,800 Speaker 1: up biotech services, pharma, semiconductors. We have a Japanese Tech PM, 465 00:28:16,160 --> 00:28:20,160 Speaker 1: we have a Japanese consumer PM, we have a consumer 466 00:28:20,200 --> 00:28:24,160 Speaker 1: Health and Wellness PM. These are all very specialized sub sectors. 467 00:28:25,000 --> 00:28:29,119 Speaker 2: When you say Japanese tech, we're talking about companies in 468 00:28:29,240 --> 00:28:33,840 Speaker 2: Japan that you're buying here. That's right, huh, really interesting. 469 00:28:34,200 --> 00:28:37,679 Speaker 2: So each PM works for a specific fund, it's not 470 00:28:38,320 --> 00:28:41,040 Speaker 2: part of a whole pulled fund. How does that. 471 00:28:40,960 --> 00:28:44,200 Speaker 1: Break down, It's a good question. It's all one fund 472 00:28:44,240 --> 00:28:49,040 Speaker 1: that provides diversified access to all of our subsector portfolios. 473 00:28:49,520 --> 00:28:53,600 Speaker 1: Part of the challenge for sector specific funds over the 474 00:28:53,720 --> 00:28:58,760 Speaker 1: past decade is the higher volatility and lower sharp associated 475 00:28:58,760 --> 00:28:59,480 Speaker 1: with that approach. 476 00:29:00,120 --> 00:29:04,120 Speaker 2: So one of the sectors you cover is energy. It's 477 00:29:04,200 --> 00:29:08,880 Speaker 2: been a kind of odd space the past couple of years. 478 00:29:09,000 --> 00:29:12,880 Speaker 2: The Russian invasion of Ukraine, oil spikes and by the 479 00:29:13,000 --> 00:29:15,120 Speaker 2: end of the year it's below where it was when 480 00:29:15,160 --> 00:29:18,040 Speaker 2: the invasion starts. Now we have the war in the 481 00:29:18,040 --> 00:29:22,479 Speaker 2: Middle East, oil fools below eighty dollars. How do you 482 00:29:22,680 --> 00:29:27,200 Speaker 2: contextualize oil? And what other energy subsectors do you do 483 00:29:27,240 --> 00:29:29,520 Speaker 2: you look at? Do you look at non carbon energy? 484 00:29:30,080 --> 00:29:33,720 Speaker 2: What else is in that area? 485 00:29:34,000 --> 00:29:36,040 Speaker 1: So energy was one of those sectors that we didn't 486 00:29:36,040 --> 00:29:41,360 Speaker 1: initially launch with, and the reason why was because there 487 00:29:41,400 --> 00:29:44,920 Speaker 1: was a lot of correlation among the companies within energy, 488 00:29:45,600 --> 00:29:49,280 Speaker 1: and with all that's gone on in the world, including 489 00:29:49,520 --> 00:29:53,480 Speaker 1: clean energy, there's been a lot more dispersion among energy 490 00:29:53,480 --> 00:29:57,080 Speaker 1: companies and have allowed us to first of all, find 491 00:29:57,200 --> 00:30:01,080 Speaker 1: a great analyst covering those names, also to run a 492 00:30:01,200 --> 00:30:04,520 Speaker 1: high idiosyncratic portfolio. So that's why we entered the sector. 493 00:30:05,640 --> 00:30:09,800 Speaker 2: Hey, it's a really exciting time in healthcare. The mRNA 494 00:30:10,560 --> 00:30:13,440 Speaker 2: drugs have been applied to all sorts of different things 495 00:30:13,480 --> 00:30:19,680 Speaker 2: beyond COVID. The obesity drugs like ozembic and wagovi are 496 00:30:19,960 --> 00:30:24,680 Speaker 2: finding amazing traction and having great results. This is your space, 497 00:30:24,760 --> 00:30:29,760 Speaker 2: the healthcare sector. What's it like in this area these days? 498 00:30:30,840 --> 00:30:34,200 Speaker 1: It's an incredibly exciting time to be a healthcare investor. 499 00:30:35,400 --> 00:30:38,200 Speaker 1: Science has gotten to the point where we are understanding 500 00:30:38,680 --> 00:30:43,480 Speaker 1: biology and how to target areas that we hadn't known 501 00:30:43,880 --> 00:30:48,200 Speaker 1: for decades, and we're seeing some incredible results. You know, 502 00:30:48,240 --> 00:30:51,480 Speaker 1: we've made some breakthroughs in Alzheimer's disease, We've made some 503 00:30:51,520 --> 00:30:57,160 Speaker 1: breakthroughs in obesity and in diabetes, in cancer, and so 504 00:30:57,840 --> 00:31:01,480 Speaker 1: to be a healthcare investor right now is probably the 505 00:31:01,520 --> 00:31:03,920 Speaker 1: best time that I've seen in the last twenty years. 506 00:31:04,040 --> 00:31:08,560 Speaker 2: Huh, really interesting. So you mentioned cancer cell therapeutics looks 507 00:31:08,600 --> 00:31:12,479 Speaker 2: like it's a fascinating area. What's happening in that medical space. 508 00:31:13,440 --> 00:31:18,120 Speaker 1: Self therapy is very exciting. You basically take a patient's 509 00:31:18,160 --> 00:31:22,080 Speaker 1: cells out, you infuse them, and put them back in 510 00:31:22,120 --> 00:31:25,080 Speaker 1: the patient's body to fight the cancer. And we've had 511 00:31:25,200 --> 00:31:30,560 Speaker 1: remarkable results, particularly in types of blood cancer. But now 512 00:31:30,640 --> 00:31:33,719 Speaker 1: we are starting to see the promise to work on 513 00:31:33,880 --> 00:31:37,480 Speaker 1: solid tumors using this approach. And it comes down to 514 00:31:38,680 --> 00:31:42,880 Speaker 1: the industrial complex around these because you have to manufacture 515 00:31:43,520 --> 00:31:45,760 Speaker 1: these cells for each individual patient. 516 00:31:45,960 --> 00:31:47,760 Speaker 2: It has to match their own genetics. 517 00:31:48,320 --> 00:31:50,520 Speaker 1: You have to take the cells out of a person's 518 00:31:50,560 --> 00:31:55,440 Speaker 1: body and align it just for that individual person and 519 00:31:55,480 --> 00:31:57,880 Speaker 1: then and put them back in. And so this is 520 00:31:57,960 --> 00:32:00,800 Speaker 1: not something that you can do like a pill where 521 00:32:00,840 --> 00:32:04,200 Speaker 1: you're manufacturing millions of these. This is a one by 522 00:32:04,240 --> 00:32:06,480 Speaker 1: one approach, and so we have to figure out a 523 00:32:06,480 --> 00:32:10,520 Speaker 1: way to make it more efficient, less costly. But I'm 524 00:32:10,560 --> 00:32:11,440 Speaker 1: confident we'll do that. 525 00:32:11,720 --> 00:32:14,320 Speaker 2: So let's talk a little bit about what's going on 526 00:32:15,000 --> 00:32:19,400 Speaker 2: in terms of the hedge fund industry. Eleven thousand hedge 527 00:32:19,440 --> 00:32:22,920 Speaker 2: funds today, go back twenty five years, there were I 528 00:32:22,960 --> 00:32:25,640 Speaker 2: don't know a couple of hundred. Are there too many 529 00:32:25,680 --> 00:32:28,600 Speaker 2: hedge funds? Has it gotten too crowded? Tell us about 530 00:32:29,240 --> 00:32:30,280 Speaker 2: what the space is like. 531 00:32:31,440 --> 00:32:35,280 Speaker 1: The growth in the number of hedge funds has slowed recently, 532 00:32:35,840 --> 00:32:39,400 Speaker 1: and we think that'll likely continue as the consolidation of 533 00:32:39,600 --> 00:32:45,200 Speaker 1: talent into the large Platform models appear structural, and like 534 00:32:45,280 --> 00:32:47,800 Speaker 1: any fast growing business, there will be winners and losers, 535 00:32:48,560 --> 00:32:53,040 Speaker 1: but the platforms offer a material value proposition to their 536 00:32:53,040 --> 00:32:57,520 Speaker 1: portfolio managers and limited partners alike and will likely survive 537 00:32:58,400 --> 00:32:59,760 Speaker 1: various market regimes. 538 00:33:00,160 --> 00:33:03,680 Speaker 2: So define what you mean by platform business models. I 539 00:33:03,720 --> 00:33:05,520 Speaker 2: think a lot of people may not be familiar with 540 00:33:05,560 --> 00:33:06,120 Speaker 2: that term. 541 00:33:06,280 --> 00:33:08,960 Speaker 1: So when I talk about the platforms, some people refer 542 00:33:08,960 --> 00:33:11,800 Speaker 1: to them as the multi managers. The big market leaders 543 00:33:11,840 --> 00:33:13,920 Speaker 1: are Citadel and Millennium. 544 00:33:13,800 --> 00:33:16,840 Speaker 2: And coincidentally, two places you happen to have worked. 545 00:33:16,960 --> 00:33:22,960 Speaker 1: That's right. That's right, And what the platforms offer is 546 00:33:24,440 --> 00:33:28,560 Speaker 1: two things. One, from a PM and analyst standpoint, they 547 00:33:28,600 --> 00:33:32,680 Speaker 1: allow pms and analysts to invest in their portfolios and 548 00:33:32,720 --> 00:33:36,400 Speaker 1: not worry about the operational complexities of running a business. 549 00:33:36,760 --> 00:33:42,080 Speaker 1: That's huge. And from an LP standpoint, there are lots 550 00:33:42,080 --> 00:33:45,840 Speaker 1: of decision makers, so there are lots of ideas and 551 00:33:46,280 --> 00:33:51,760 Speaker 1: it results in a uncorrelated, diversified alpha return stream and 552 00:33:51,920 --> 00:33:54,720 Speaker 1: one that an LP can do in a single investment 553 00:33:55,080 --> 00:33:58,160 Speaker 1: versus the complexity of multiple investments in many funds. 554 00:33:58,760 --> 00:34:01,920 Speaker 2: So when you we were at both Citadel and Millennium, 555 00:34:02,000 --> 00:34:05,000 Speaker 2: you didn't have to deal with any of the operational challenges. 556 00:34:05,520 --> 00:34:10,000 Speaker 2: What has it been like pivoting to running a business, 557 00:34:10,120 --> 00:34:14,960 Speaker 2: hiring people, dealing with regulations, managing people, dealing with clients 558 00:34:14,960 --> 00:34:19,000 Speaker 2: and LPs. How different is this experience from what you 559 00:34:19,040 --> 00:34:19,799 Speaker 2: had previously. 560 00:34:20,600 --> 00:34:25,160 Speaker 1: It's complex and it's critically important to have a fully 561 00:34:25,239 --> 00:34:29,360 Speaker 1: built out infrastructure to support your investment team and manage 562 00:34:29,360 --> 00:34:31,719 Speaker 1: the operations of your business. And we're fortunate to have 563 00:34:31,760 --> 00:34:34,759 Speaker 1: Matt Hooker and his team doing that for us very 564 00:34:34,760 --> 00:34:40,480 Speaker 1: effectively and allows our investment team to invest even more 565 00:34:40,680 --> 00:34:43,840 Speaker 1: than we were at Citadel, which is incredible. 566 00:34:44,120 --> 00:34:46,560 Speaker 2: So we've talked about a lot of different funds. We 567 00:34:46,640 --> 00:34:50,239 Speaker 2: mentioned d Show, we mentioned Millennium, we mentioned Citadel. Each 568 00:34:50,280 --> 00:34:54,600 Speaker 2: of those have a very specific corporate culture driven by 569 00:34:54,640 --> 00:34:58,040 Speaker 2: the founder. How do you create a corporate culture at 570 00:34:58,080 --> 00:34:58,760 Speaker 2: your own fund? 571 00:35:00,920 --> 00:35:05,520 Speaker 1: I just watched an interview where Ray Dalyo was speaking 572 00:35:05,520 --> 00:35:07,760 Speaker 1: to Bill Belichick, the head coach of the Patriots. 573 00:35:07,840 --> 00:35:08,000 Speaker 2: Huh. 574 00:35:08,560 --> 00:35:12,799 Speaker 1: Bill had just earned his three hundredth career win, and 575 00:35:12,920 --> 00:35:16,040 Speaker 1: Ray is all about principles, and so he asked Bill 576 00:35:16,080 --> 00:35:19,480 Speaker 1: what his principles as a head coach are and Bill said, 577 00:35:20,120 --> 00:35:25,160 Speaker 1: put your team first, do your job, and continually focus 578 00:35:25,320 --> 00:35:28,919 Speaker 1: on improvement. And these are the key principles to any 579 00:35:28,960 --> 00:35:33,200 Speaker 1: successful organization, and they're certainly part of the DNA of Woodline. 580 00:35:33,880 --> 00:35:36,000 Speaker 1: But a football team has a lot in common with 581 00:35:36,080 --> 00:35:38,839 Speaker 1: a successful investment firm. You know, on a football team, 582 00:35:38,840 --> 00:35:41,040 Speaker 1: you have a little over fifty people who dress for 583 00:35:41,080 --> 00:35:46,080 Speaker 1: the game, plus an entire organization around that, and everyone 584 00:35:46,239 --> 00:35:49,319 Speaker 1: dreams of being the quarterback or the star running back, 585 00:35:49,719 --> 00:35:53,040 Speaker 1: but the success of a team is driven by all 586 00:35:53,080 --> 00:35:57,040 Speaker 1: those people who are doing jobs that may not have 587 00:35:57,080 --> 00:36:01,840 Speaker 1: that same kind of glorified role Woodline. Carl likes to 588 00:36:01,880 --> 00:36:05,080 Speaker 1: say that people join because they choose to be on 589 00:36:05,120 --> 00:36:08,440 Speaker 1: a great team, rather than being an all star on 590 00:36:08,480 --> 00:36:11,440 Speaker 1: an OK team. And I think that's true. And I 591 00:36:11,520 --> 00:36:14,440 Speaker 1: like to think of Woodline as an organization of linemen, 592 00:36:15,120 --> 00:36:19,719 Speaker 1: defensive ends, and kickers, where every role is celebrated and 593 00:36:19,840 --> 00:36:22,520 Speaker 1: every person critical to achieving its goals. 594 00:36:23,040 --> 00:36:26,600 Speaker 2: Let's talk a little bit about return quality. You've discussed 595 00:36:26,600 --> 00:36:31,279 Speaker 2: this previously. How do you define return quality and what 596 00:36:31,320 --> 00:36:32,600 Speaker 2: do you have to do to deliver it? 597 00:36:33,080 --> 00:36:36,800 Speaker 1: So, ultimately, the goal for all investors across strategies public 598 00:36:36,840 --> 00:36:40,759 Speaker 1: private is to generate uncorrelated alpha, and it starts with 599 00:36:40,840 --> 00:36:46,080 Speaker 1: good risk management and optimal portfolio construction. If you look 600 00:36:46,120 --> 00:36:49,719 Speaker 1: at the average investment fund, it has a risk profile 601 00:36:50,040 --> 00:36:54,400 Speaker 1: of around thirty percent idiosyncratic risk. So let's flip that around. 602 00:36:55,000 --> 00:36:59,759 Speaker 1: That means the average investment firm has seventy percent of 603 00:36:59,760 --> 00:37:04,560 Speaker 1: their performance that will be influenced by macro and market factors. 604 00:37:05,719 --> 00:37:08,600 Speaker 1: That's not high quality, and we think the industry can 605 00:37:08,640 --> 00:37:09,319 Speaker 1: do better than that. 606 00:37:10,080 --> 00:37:14,440 Speaker 2: And you cover North America, Europe and Asia. Are you 607 00:37:14,520 --> 00:37:19,600 Speaker 2: seeing more opportunities in one geography versus another? The world 608 00:37:19,920 --> 00:37:23,200 Speaker 2: really is pretty uncorrelated these days. 609 00:37:23,800 --> 00:37:27,760 Speaker 1: We see opportunities for our strategy in the US, Japan, 610 00:37:28,239 --> 00:37:28,920 Speaker 1: and Europe. 611 00:37:29,719 --> 00:37:33,480 Speaker 2: Japan especially has been a house of fire lately. The 612 00:37:34,320 --> 00:37:37,799 Speaker 2: Nike is up substantially. I don't think we're all that 613 00:37:37,960 --> 00:37:42,160 Speaker 2: far from the prior peaks before their big collapse in 614 00:37:42,160 --> 00:37:47,399 Speaker 2: eighty nine. What is it that's driving Japan despite all 615 00:37:47,440 --> 00:37:50,480 Speaker 2: of their demographic problems and everything else. 616 00:37:50,960 --> 00:37:55,120 Speaker 1: What's happening over there, Well, what makes a good market 617 00:37:55,120 --> 00:38:00,520 Speaker 1: for US is breath of companies, liquidity, and having rules 618 00:38:00,560 --> 00:38:04,800 Speaker 1: based system. And in any of these markets, the market 619 00:38:04,880 --> 00:38:08,439 Speaker 1: being up or down really doesn't matter to us. If 620 00:38:08,480 --> 00:38:10,560 Speaker 1: tomorrow you told me the market was going to be 621 00:38:10,680 --> 00:38:14,439 Speaker 1: up five percent or down five percent, it would likely 622 00:38:14,480 --> 00:38:18,400 Speaker 1: have very little impact on the performance of Woodline. And 623 00:38:18,480 --> 00:38:22,960 Speaker 1: so we really look at talent and then the types 624 00:38:22,960 --> 00:38:25,759 Speaker 1: of companies that are within a market that we can 625 00:38:25,800 --> 00:38:28,480 Speaker 1: structure a diversified portfolio with. 626 00:38:29,040 --> 00:38:32,880 Speaker 2: So, if I say to you, US has been really 627 00:38:32,920 --> 00:38:36,560 Speaker 2: strong economically and Japan has been doing well, but Europe 628 00:38:36,560 --> 00:38:39,480 Speaker 2: has been limping along. They've been rolling recessions from the 629 00:38:39,600 --> 00:38:42,400 Speaker 2: UK to Germany to France. They can't get out of 630 00:38:42,480 --> 00:38:45,240 Speaker 2: their own way. You don't care about that macro stuff. 631 00:38:45,280 --> 00:38:47,640 Speaker 2: You want to find the right company at the right price. 632 00:38:48,040 --> 00:38:50,920 Speaker 1: And we want to pick the winners and the losers, 633 00:38:51,600 --> 00:38:55,320 Speaker 1: and we want to structure portfolios around those winners and losers, 634 00:38:55,360 --> 00:38:57,040 Speaker 1: and the market just does not matter. 635 00:38:57,320 --> 00:39:01,160 Speaker 2: Huh. That's really quite fascinating. All right, we only have 636 00:39:01,239 --> 00:39:04,200 Speaker 2: you for a limited amount of time, so I'm going 637 00:39:04,239 --> 00:39:07,040 Speaker 2: to jump to my favorite questions. I ask all of 638 00:39:07,040 --> 00:39:11,279 Speaker 2: my guests starting with what have you been streaming these days? 639 00:39:11,320 --> 00:39:14,720 Speaker 2: Tell us what you're either watching or listening to, either 640 00:39:16,040 --> 00:39:18,840 Speaker 2: video or podcasts, or whatever's keeping you entertained. 641 00:39:19,520 --> 00:39:23,640 Speaker 1: Most recently, I've been listening to Founders, where David Cenra 642 00:39:23,800 --> 00:39:27,680 Speaker 1: summarizes the biographies of path leaders and entrepreneurs. 643 00:39:29,239 --> 00:39:34,160 Speaker 2: Interesting. Let's talk about your mentors who helped shape your career. 644 00:39:36,040 --> 00:39:39,080 Speaker 1: Well. Ken Griffin is a larger than life figure and 645 00:39:39,160 --> 00:39:42,560 Speaker 1: teacher that leaves it imprint about how you think about 646 00:39:42,600 --> 00:39:46,680 Speaker 1: things your entire life. I'd also say that Brandon Haley, 647 00:39:46,760 --> 00:39:50,280 Speaker 1: who started Holosecene. He was the first of our group 648 00:39:50,320 --> 00:39:53,040 Speaker 1: at Citadel to launch his own fund and he blazed 649 00:39:53,120 --> 00:39:57,799 Speaker 1: a path for Woodline and others and was critical in 650 00:39:57,880 --> 00:40:00,200 Speaker 1: helping all of us get started. Woodline wouldn't be year 651 00:40:00,560 --> 00:40:04,640 Speaker 1: without him. And then on a personal level level, my 652 00:40:04,760 --> 00:40:08,120 Speaker 1: father for teaching me the value of loyalty and hard 653 00:40:08,120 --> 00:40:12,360 Speaker 1: work and consistency. I've been really fortunate, Barry. So I 654 00:40:12,640 --> 00:40:14,640 Speaker 1: could go on for a while. 655 00:40:15,400 --> 00:40:17,720 Speaker 2: Let's talk a little about books, some of your favorites 656 00:40:17,760 --> 00:40:21,280 Speaker 2: and what you're reading right now. You mentioned Monkey Business. 657 00:40:21,320 --> 00:40:22,880 Speaker 2: What other books are you enjoying. 658 00:40:23,640 --> 00:40:26,560 Speaker 1: One of my all time favorites is Shoe Dog by 659 00:40:26,640 --> 00:40:27,600 Speaker 1: Phil Knight. Have you read that? 660 00:40:27,760 --> 00:40:28,960 Speaker 2: Yes? Really interesting? 661 00:40:29,080 --> 00:40:31,640 Speaker 1: Yeah, it's so great. What I love about that is, 662 00:40:31,800 --> 00:40:36,320 Speaker 1: after a long and sometimes grueling road for him building Nike, 663 00:40:37,080 --> 00:40:39,799 Speaker 1: he said he could he wished he could go back 664 00:40:39,840 --> 00:40:40,880 Speaker 1: and do it all over again. 665 00:40:41,080 --> 00:40:43,640 Speaker 2: I recall that I thought that was the most bonkers 666 00:40:43,640 --> 00:40:47,920 Speaker 2: thing in the whole book. Ye, after literally selling shoes 667 00:40:47,960 --> 00:40:50,759 Speaker 2: out of the trunk of his car and not knowing 668 00:40:50,800 --> 00:40:53,000 Speaker 2: if they're gonna have enough money to pay vendors, and 669 00:40:53,719 --> 00:40:56,200 Speaker 2: constantly getting by on the skin of their teeth. The 670 00:40:56,600 --> 00:40:59,920 Speaker 2: first third of that book is like, I know the outcome, 671 00:41:00,440 --> 00:41:03,520 Speaker 2: and it still feels like they're not going to make it. 672 00:41:03,560 --> 00:41:04,640 Speaker 2: They're just skating by. 673 00:41:04,920 --> 00:41:07,680 Speaker 1: Yeah, I know it's it's amazing and it's inspiring for 674 00:41:07,760 --> 00:41:08,600 Speaker 1: any entrepreneur. 675 00:41:09,000 --> 00:41:10,560 Speaker 2: Any of the books you want to mention or. 676 00:41:10,840 --> 00:41:14,239 Speaker 1: I'm reading Musk right now and that's. 677 00:41:14,320 --> 00:41:18,200 Speaker 2: Uh Walter Isaacson. Yes, that looks that's that. That looks 678 00:41:18,239 --> 00:41:20,640 Speaker 2: like it's too big to read. It's a giant tone. 679 00:41:20,680 --> 00:41:22,040 Speaker 1: I'm a third of the way through. 680 00:41:22,280 --> 00:41:22,760 Speaker 2: Yeah. 681 00:41:23,440 --> 00:41:25,799 Speaker 1: What I didn't know, Maybe I should have known this 682 00:41:26,440 --> 00:41:31,560 Speaker 1: was that Elon actually started SpaceX before he took over Tesla. 683 00:41:31,760 --> 00:41:35,200 Speaker 2: Right, He didn't start Tesla, he joined it, didn't start PayPal, 684 00:41:35,640 --> 00:41:37,359 Speaker 2: he joined it, But SpaceX was. 685 00:41:37,480 --> 00:41:40,960 Speaker 1: Basactly Yeah, he was thinking about space travel, you know, 686 00:41:41,200 --> 00:41:42,680 Speaker 1: from a very early age. 687 00:41:43,400 --> 00:41:47,560 Speaker 2: Huh. Quite interesting. Uh. And our final two questions, what 688 00:41:47,680 --> 00:41:50,000 Speaker 2: sort of advice would you give to a college grad 689 00:41:50,200 --> 00:41:53,560 Speaker 2: interested in a career in investing or hedge funds? 690 00:41:54,960 --> 00:41:59,160 Speaker 1: Place learning and experience over salary entitle. 691 00:42:00,000 --> 00:42:02,399 Speaker 2: No matter what, No matter what, you got to get 692 00:42:02,440 --> 00:42:05,600 Speaker 2: those fundamentals down, the money will take care of itself. 693 00:42:05,400 --> 00:42:06,280 Speaker 1: Later, exactly. 694 00:42:06,840 --> 00:42:09,359 Speaker 2: And our final question, what do you know about the 695 00:42:09,360 --> 00:42:12,839 Speaker 2: world of investing today that you wish you knew when 696 00:42:12,880 --> 00:42:17,759 Speaker 2: you were first starting out fifteen twenty years ago. 697 00:42:19,080 --> 00:42:23,959 Speaker 1: So I was fortunate enough to spend time with Will 698 00:42:24,040 --> 00:42:25,840 Speaker 1: I Am from The Black Eyed Peas a couple of 699 00:42:25,880 --> 00:42:31,319 Speaker 1: years ago, and I was asking him, Will what was 700 00:42:31,320 --> 00:42:35,120 Speaker 1: it that really made you so successful? And he said 701 00:42:35,160 --> 00:42:38,759 Speaker 1: that at a very early age, when he was in 702 00:42:38,840 --> 00:42:42,880 Speaker 1: high school, he started looking forward ten years, twenty years, 703 00:42:43,120 --> 00:42:47,920 Speaker 1: thirty years, and then he would envision himself then and 704 00:42:47,960 --> 00:42:52,840 Speaker 1: then work backward. So I would say, you know, let's 705 00:42:52,840 --> 00:42:56,239 Speaker 1: all be like Will I Am and look thirty years 706 00:42:56,239 --> 00:42:58,719 Speaker 1: ahead and envision what the future will look like, so 707 00:42:58,800 --> 00:42:59,560 Speaker 1: we don't miss. 708 00:42:59,320 --> 00:43:03,759 Speaker 2: Out really interesting Mike, Thanks for being so generous with 709 00:43:03,840 --> 00:43:08,239 Speaker 2: your time. We have been speaking with Mike Rockefeller, co 710 00:43:08,440 --> 00:43:13,080 Speaker 2: chief investment officer and co founder of Woodline Partners. If 711 00:43:13,120 --> 00:43:16,120 Speaker 2: you enjoy this conversation, well, be sure and check out 712 00:43:16,480 --> 00:43:20,319 Speaker 2: any of the previous five hundred discussions we've had over 713 00:43:20,360 --> 00:43:25,960 Speaker 2: the past nine years. You can find those at Apple Podcasts, Spotify, YouTube, 714 00:43:26,000 --> 00:43:29,680 Speaker 2: wherever you find your favorite podcasts. Sign up from my 715 00:43:29,760 --> 00:43:32,480 Speaker 2: daily reading list at ridults dot com, Follow me on 716 00:43:32,520 --> 00:43:36,440 Speaker 2: Twitter at ridults, follow all of the Bloomberg family of 717 00:43:36,520 --> 00:43:40,680 Speaker 2: podcasts on Twitter at podcast I would be remiss if 718 00:43:40,719 --> 00:43:42,520 Speaker 2: I did not thank the PRAC team that helps put 719 00:43:42,560 --> 00:43:47,360 Speaker 2: these conversations together each week. Sarah Livesey is my audio engineer. 720 00:43:47,400 --> 00:43:51,960 Speaker 2: Attika Valbrunt is my project manager. Sean Russo is my researcher. 721 00:43:52,600 --> 00:43:57,240 Speaker 2: Anna Luke is my producer. I'm Barry Ridholts. You're listening 722 00:43:57,280 --> 00:44:02,520 Speaker 2: to Masters and Business on Bloomberg Radio Back