1 00:00:02,040 --> 00:00:06,000 Speaker 1: This is Master's in Business with Barry rid Holds on 2 00:00:06,240 --> 00:00:11,840 Speaker 1: Bloomberg Radio. This week on the podcast, I have an 3 00:00:11,880 --> 00:00:16,880 Speaker 1: extra special guest. Elizabeth Burton is Goldman Sachs's Assets Management's 4 00:00:17,360 --> 00:00:22,680 Speaker 1: client investment strategist. Previously, she was chief investment officer at 5 00:00:22,800 --> 00:00:27,880 Speaker 1: various state pension funds, including Maryland and Hawaii. I found 6 00:00:27,920 --> 00:00:32,440 Speaker 1: this to be really an intriguing conversation with somebody whose 7 00:00:33,240 --> 00:00:37,960 Speaker 1: investment charge is unconstrained. She can go anywhere do anything. 8 00:00:38,440 --> 00:00:43,720 Speaker 1: She provides advice to institutions and high net worth investors 9 00:00:44,320 --> 00:00:50,400 Speaker 1: that isn't limited by the typical buckets or lines or 10 00:00:51,440 --> 00:00:55,920 Speaker 1: structure that you so often see. Her job is portfolio 11 00:00:56,200 --> 00:00:59,480 Speaker 1: and product solutions, and that means she could go anywhere 12 00:00:59,520 --> 00:01:02,680 Speaker 1: in the world than do anything. I thought this conversation 13 00:01:02,880 --> 00:01:06,759 Speaker 1: was absolutely fascinating, and I think you will also with 14 00:01:06,840 --> 00:01:12,520 Speaker 1: no further ado, Goman Sachs Asset Managements. Elizabeth Burton, Hi Arry, 15 00:01:12,520 --> 00:01:14,880 Speaker 1: thank you for having me. That is quite a resume. 16 00:01:15,280 --> 00:01:18,200 Speaker 1: Let's start a little bit before we get to what 17 00:01:18,240 --> 00:01:21,200 Speaker 1: you do with Goldman Sachs. Let's talk about your background, 18 00:01:21,240 --> 00:01:24,400 Speaker 1: which is really kind of fascinating. First, you have a 19 00:01:24,440 --> 00:01:27,360 Speaker 1: degree in French, how does that lead to a group 20 00:01:27,440 --> 00:01:30,120 Speaker 1: to a focus on investment management? 21 00:01:30,600 --> 00:01:32,800 Speaker 2: I do have a degree in French, A little bit 22 00:01:32,840 --> 00:01:35,720 Speaker 2: of a cheat there, unless you consider English majors cheating 23 00:01:35,720 --> 00:01:39,120 Speaker 2: as well who speak English. But my grandmother's from Normandy, 24 00:01:39,680 --> 00:01:42,440 Speaker 2: and so I've been speaking French since like as long 25 00:01:42,480 --> 00:01:46,319 Speaker 2: as I can remember, and I love French literature. I 26 00:01:46,360 --> 00:01:49,000 Speaker 2: actually have some relationship far far away to Jules Vernen. 27 00:01:49,160 --> 00:01:51,960 Speaker 2: So how does that relate to finance? 28 00:01:52,000 --> 00:01:55,720 Speaker 3: It doesn't. But my parents told me college is the 29 00:01:55,800 --> 00:01:57,000 Speaker 3: last time you can. 30 00:01:56,880 --> 00:01:59,880 Speaker 2: Study in our dime anything you would like, and so 31 00:02:00,560 --> 00:02:04,080 Speaker 2: they were both in finance, and I decided that must 32 00:02:04,160 --> 00:02:06,320 Speaker 2: be the absolute last thing I ever wanted to do. 33 00:02:06,680 --> 00:02:10,240 Speaker 1: So University of Chicago Booth School of Business. Was this 34 00:02:10,480 --> 00:02:15,240 Speaker 1: just an inevitable, unavoidable thing your parents come from that 35 00:02:15,360 --> 00:02:18,840 Speaker 1: it seems like you're getting a lot of your focus 36 00:02:18,919 --> 00:02:21,440 Speaker 1: from your genetics. What led to Booth? 37 00:02:21,600 --> 00:02:24,480 Speaker 2: Well, so I will this will be the first time 38 00:02:24,480 --> 00:02:27,520 Speaker 2: I'm telling honestly why I went to Booth Two reasons. 39 00:02:27,560 --> 00:02:29,360 Speaker 2: One one is true, and I've always said is that 40 00:02:29,400 --> 00:02:31,360 Speaker 2: I wanted people to stop asking if I could do math, 41 00:02:31,480 --> 00:02:33,880 Speaker 2: And no one asked me if I can do math anymore? 42 00:02:33,880 --> 00:02:37,160 Speaker 2: With a degree from both, particularly in econometrics and statistics. 43 00:02:37,840 --> 00:02:40,800 Speaker 2: But the other reason was Booth rejected me an undergrad. 44 00:02:40,919 --> 00:02:44,280 Speaker 1: Oh really, yes, I'll show that of Chicago, so right. 45 00:02:44,560 --> 00:02:46,880 Speaker 2: And then the third and final reason was my dad 46 00:02:47,000 --> 00:02:51,160 Speaker 2: got his PhD in econ from Northwestern, but he's so ancient. 47 00:02:51,280 --> 00:02:53,560 Speaker 2: Back then it was taught at the University of Chicago, 48 00:02:53,760 --> 00:02:54,760 Speaker 2: and so I. 49 00:02:54,880 --> 00:02:59,440 Speaker 1: Wait, so Northwestern grad students took classes at you see. 50 00:02:59,120 --> 00:03:01,680 Speaker 2: At you Chicago, and my dad lived in the International House. 51 00:03:01,720 --> 00:03:03,240 Speaker 2: He's from Houston, so I don't know how he pulled 52 00:03:03,240 --> 00:03:04,160 Speaker 2: that one. 53 00:03:04,560 --> 00:03:07,000 Speaker 1: Well, it's really like a different a different kind of 54 00:03:07,120 --> 00:03:10,320 Speaker 1: humidity makes it feel in Houston, makes it feel like 55 00:03:10,560 --> 00:03:13,960 Speaker 1: you're in the tropics. So it's close totally. That's very amusing. 56 00:03:14,120 --> 00:03:19,560 Speaker 1: So people really ask you, if you take French, you 57 00:03:19,600 --> 00:03:23,079 Speaker 1: do math? Is that like still the sort of thing 58 00:03:23,120 --> 00:03:24,000 Speaker 1: that we ask people. 59 00:03:24,200 --> 00:03:26,840 Speaker 2: I think it's because I went into risk management straight 60 00:03:26,880 --> 00:03:30,080 Speaker 2: out of school, on the risk side of fund of 61 00:03:30,120 --> 00:03:34,960 Speaker 2: funds and various other industries, and without a formal degree 62 00:03:35,000 --> 00:03:37,640 Speaker 2: in math and statistics. I think there was some hesitation 63 00:03:37,680 --> 00:03:39,120 Speaker 2: on whether or not it was capable of doing it, 64 00:03:39,160 --> 00:03:42,360 Speaker 2: which which may be fair, And I wanted to bolster 65 00:03:42,440 --> 00:03:44,960 Speaker 2: my resume a little bit away from politics and French 66 00:03:45,000 --> 00:03:47,240 Speaker 2: and so I thought, what better places to go? 67 00:03:47,360 --> 00:03:49,440 Speaker 3: And you know it might hurt a little bit. 68 00:03:49,520 --> 00:03:51,680 Speaker 2: Chicago's a pretty good place to learn some math. 69 00:03:51,520 --> 00:03:55,360 Speaker 1: And flance, I'll say for sure. So how do you 70 00:03:55,440 --> 00:03:58,960 Speaker 1: go from coming out of Booth School in University of 71 00:03:59,000 --> 00:04:04,520 Speaker 1: Chicago to getting named CIO magazines top forty under forty. 72 00:04:04,680 --> 00:04:07,280 Speaker 2: So that was kind of a meandering path a little bit. 73 00:04:07,320 --> 00:04:09,880 Speaker 2: What ended up happening was I met my husband right 74 00:04:09,920 --> 00:04:11,080 Speaker 2: before I went to business school. 75 00:04:11,160 --> 00:04:12,240 Speaker 3: He was living in Maryland. 76 00:04:12,600 --> 00:04:16,160 Speaker 2: My boyfriend during business school and he was living in Maryland, 77 00:04:16,200 --> 00:04:19,680 Speaker 2: and so after school, I decided I should probably move there, 78 00:04:19,800 --> 00:04:22,480 Speaker 2: not back to New York, not back to California. And 79 00:04:22,720 --> 00:04:25,599 Speaker 2: the hedge funds down there looked like Post made off 80 00:04:25,640 --> 00:04:27,200 Speaker 2: post GFC that they were really. 81 00:04:27,040 --> 00:04:28,880 Speaker 3: Going to struggle. So I had to switch industries. 82 00:04:28,920 --> 00:04:30,680 Speaker 2: So I actually went to work in M and A 83 00:04:30,760 --> 00:04:34,480 Speaker 2: in payments, and I enjoyed that. 84 00:04:34,640 --> 00:04:36,320 Speaker 3: After three years, I decided I don't. 85 00:04:36,160 --> 00:04:38,880 Speaker 2: Love payments enough to continue to do consulting in M 86 00:04:38,880 --> 00:04:41,159 Speaker 2: and A and payments, so I actually went and worked 87 00:04:41,160 --> 00:04:44,520 Speaker 2: in economics. I was an econometrician. And then when my 88 00:04:44,800 --> 00:04:47,960 Speaker 2: second child was born, I needed a little bit of 89 00:04:48,000 --> 00:04:51,599 Speaker 2: a different lifestyle. I had two kids, they were both young. 90 00:04:52,480 --> 00:04:55,240 Speaker 2: My father had worked with public pensions and he said, 91 00:04:55,320 --> 00:04:56,920 Speaker 2: this is a pretty good place to be in finance 92 00:04:56,920 --> 00:04:59,120 Speaker 2: if you want to raise kids. It's a little bit better, 93 00:04:59,240 --> 00:05:03,560 Speaker 2: better of a lifestyle. Well, so I applied to Maryland 94 00:05:03,600 --> 00:05:07,039 Speaker 2: State Retirement. I actually think I interviewed there a couple 95 00:05:07,080 --> 00:05:09,120 Speaker 2: of days after my child was born because they were 96 00:05:09,120 --> 00:05:12,480 Speaker 2: cutting off the application. And I luckily, thankfully got the job. 97 00:05:12,560 --> 00:05:13,719 Speaker 3: Got to work for one. 98 00:05:13,560 --> 00:05:16,000 Speaker 2: Of the most amazing CIOs in the businesses and a 99 00:05:16,000 --> 00:05:18,960 Speaker 2: close friend, Andy Palmer. But how I got the award, 100 00:05:18,960 --> 00:05:20,599 Speaker 2: I'm not sure. I think, you know, I was in 101 00:05:20,680 --> 00:05:24,160 Speaker 2: my main thirties at the time, and I think I 102 00:05:24,200 --> 00:05:27,359 Speaker 2: was a little bit outspoken. And I also believe that 103 00:05:28,360 --> 00:05:32,200 Speaker 2: I have never really believed in bucketing very much in investments, 104 00:05:32,839 --> 00:05:36,280 Speaker 2: and so I often look at investments in my portfolio 105 00:05:36,400 --> 00:05:38,760 Speaker 2: that may be different from what most other people put 106 00:05:38,760 --> 00:05:39,680 Speaker 2: in their portfolios. 107 00:05:39,839 --> 00:05:43,080 Speaker 1: So I have like a half a dozen questions that 108 00:05:43,120 --> 00:05:46,560 Speaker 1: has led me to But let's start with bucketing, or 109 00:05:46,600 --> 00:05:50,360 Speaker 1: what some people call silos, different types of investing. When 110 00:05:50,400 --> 00:05:53,720 Speaker 1: you say you haven't been much for bucketing. Tell us 111 00:05:53,720 --> 00:05:54,440 Speaker 1: what you mean by that. 112 00:05:54,640 --> 00:05:55,960 Speaker 3: Well, let me give you an example. 113 00:05:55,960 --> 00:05:57,800 Speaker 2: I don't know if you're in the market for a 114 00:05:57,880 --> 00:06:00,320 Speaker 2: house currently, but let's say you're real at her goes 115 00:06:00,800 --> 00:06:03,839 Speaker 2: and says, I talk to you, and you say I 116 00:06:03,880 --> 00:06:06,320 Speaker 2: love Cape CODs, And he's like, okay, okay, I've also 117 00:06:06,360 --> 00:06:09,400 Speaker 2: got this amazing condo that overlooks all of Central Park 118 00:06:09,440 --> 00:06:12,840 Speaker 2: and it's only a one million dollars, right, or it's 119 00:06:12,880 --> 00:06:15,520 Speaker 2: only two hundred thousand dollars. And you say, wow, two 120 00:06:15,600 --> 00:06:17,960 Speaker 2: hundred thousand dollars for a condo overlooking Central Park. That 121 00:06:18,000 --> 00:06:21,320 Speaker 2: sounds great. But I only have spots in my portfolio 122 00:06:21,320 --> 00:06:23,640 Speaker 2: for a Cape Cod. How ridiculous is that? 123 00:06:23,800 --> 00:06:23,920 Speaker 1: Right? 124 00:06:24,040 --> 00:06:27,440 Speaker 2: So it's a problem that institutions often suffer from that 125 00:06:27,520 --> 00:06:30,719 Speaker 2: Retail investors do not like you and me, we probably 126 00:06:30,760 --> 00:06:33,719 Speaker 2: don't have this bucketing issue. And so I always felt 127 00:06:34,360 --> 00:06:37,840 Speaker 2: an institutional management that we were hamstrung by these bucketing 128 00:06:37,920 --> 00:06:40,279 Speaker 2: issues because we weren't able to invest in things because 129 00:06:40,320 --> 00:06:43,240 Speaker 2: of these prescribed rules, which I'm not saying are bad, 130 00:06:43,720 --> 00:06:46,320 Speaker 2: but they can be limiting. Anytime you have a rule, 131 00:06:46,360 --> 00:06:48,440 Speaker 2: you limit your availability of option. 132 00:06:49,320 --> 00:06:53,560 Speaker 1: So let's stay with this. So when I think of bucketing. 133 00:06:54,200 --> 00:06:58,479 Speaker 1: I think of a large institution that says, well, we're 134 00:06:58,520 --> 00:07:03,800 Speaker 1: gonna we like this space, pick a space, private credit, 135 00:07:03,960 --> 00:07:06,719 Speaker 1: venture capital, real estate doesn't matter, and we want to 136 00:07:06,720 --> 00:07:12,160 Speaker 1: allocate ten percent of our portfolio to that particular space. 137 00:07:12,920 --> 00:07:16,960 Speaker 1: What you're suggesting is regardless of whether they're fantastic deals 138 00:07:17,000 --> 00:07:21,400 Speaker 1: elsewhere or this space is pricey. You think that that 139 00:07:21,560 --> 00:07:28,320 Speaker 1: sort of bucket very much hamstrings the CIO to make 140 00:07:28,360 --> 00:07:29,280 Speaker 1: the best decisions. 141 00:07:29,600 --> 00:07:32,040 Speaker 2: I believe it can. I believe it can save you 142 00:07:32,120 --> 00:07:36,200 Speaker 2: from making poor decisions outside of your mandate. But here's 143 00:07:36,240 --> 00:07:38,560 Speaker 2: a good example that's come up in recent years. Real 144 00:07:38,640 --> 00:07:41,480 Speaker 2: estate that has been something in recent years that is 145 00:07:41,480 --> 00:07:44,000 Speaker 2: something that we're seeing in institutional portfolios. So does that 146 00:07:44,040 --> 00:07:45,800 Speaker 2: go in real estate or does that go in debt? 147 00:07:46,360 --> 00:07:47,720 Speaker 3: It can be a tricky problem. 148 00:07:48,000 --> 00:07:49,400 Speaker 1: Well, it depends on how it's financed. 149 00:07:50,040 --> 00:07:50,680 Speaker 3: It could It. 150 00:07:50,600 --> 00:07:53,760 Speaker 2: Could also depend on the bogie or the target return 151 00:07:53,880 --> 00:07:56,200 Speaker 2: for either of the If the person managing those two 152 00:07:56,240 --> 00:07:59,320 Speaker 2: portfolios are different, they may have different objectives, so it 153 00:07:59,360 --> 00:08:02,840 Speaker 2: may slip the cracks even though it's a good investment. 154 00:08:02,920 --> 00:08:05,600 Speaker 2: There's also some sort of some hedge fund structures that 155 00:08:05,640 --> 00:08:08,520 Speaker 2: have private equity, like investments. If the private equity team 156 00:08:08,560 --> 00:08:10,160 Speaker 2: doesn't feel that the return. 157 00:08:09,880 --> 00:08:11,000 Speaker 3: Is high enough, they will pass. 158 00:08:11,040 --> 00:08:12,880 Speaker 2: But if the hedge fund team feels like it has 159 00:08:12,920 --> 00:08:16,120 Speaker 2: too high of inequity beta, right, they may pass on that. 160 00:08:16,480 --> 00:08:17,400 Speaker 3: So you may miss. 161 00:08:17,240 --> 00:08:20,880 Speaker 2: Out on a good investment. So I always try to 162 00:08:20,920 --> 00:08:23,840 Speaker 2: find a way to not miss out on those investments. Plus, 163 00:08:23,840 --> 00:08:26,800 Speaker 2: often those investments are some of the better investments because 164 00:08:26,800 --> 00:08:29,720 Speaker 2: a lot of people have these constraints, right, so there's 165 00:08:29,720 --> 00:08:31,960 Speaker 2: not as much capital flying flying in there, and when 166 00:08:31,960 --> 00:08:35,800 Speaker 2: you have limited capital chasing you know these really amazing deals, 167 00:08:35,840 --> 00:08:37,440 Speaker 2: you can often earn a higher return. 168 00:08:37,800 --> 00:08:40,600 Speaker 1: So before you said perhaps it was because you were 169 00:08:40,640 --> 00:08:43,600 Speaker 1: outspoken and I was going to say, how do people 170 00:08:43,640 --> 00:08:47,280 Speaker 1: work in public pensions? Not spoken, but I get the 171 00:08:47,320 --> 00:08:52,640 Speaker 1: sense of what you're saying. You're pushing back at established 172 00:08:53,880 --> 00:08:58,520 Speaker 1: assumptions of investing, that we can create these broad categories 173 00:08:59,000 --> 00:09:02,440 Speaker 1: regardless of whether it helps our performance or not. In fact, 174 00:09:02,920 --> 00:09:07,000 Speaker 1: it sounds like you think these rigid rules get in 175 00:09:07,040 --> 00:09:09,400 Speaker 1: the way of good investors making good decisions. 176 00:09:09,559 --> 00:09:10,520 Speaker 3: I think sometimes. 177 00:09:10,720 --> 00:09:13,000 Speaker 2: But you could also take that and apply it to 178 00:09:13,040 --> 00:09:16,960 Speaker 2: a company, right, So you could say that if you 179 00:09:17,000 --> 00:09:19,760 Speaker 2: have a company that has people working there for twenty 180 00:09:19,800 --> 00:09:21,920 Speaker 2: five years. They all have seen the same thing for 181 00:09:21,920 --> 00:09:23,920 Speaker 2: twenty five years. When you get one person that comes 182 00:09:23,920 --> 00:09:25,920 Speaker 2: in and has a year of experience in that industry, 183 00:09:26,120 --> 00:09:28,040 Speaker 2: they're going to bring a new vision to it. And 184 00:09:28,040 --> 00:09:30,079 Speaker 2: it may be wrong, but there might be parts of. 185 00:09:30,000 --> 00:09:31,120 Speaker 3: That that are really interesting. 186 00:09:31,160 --> 00:09:33,320 Speaker 2: And I feel that because I was only there for 187 00:09:33,360 --> 00:09:35,199 Speaker 2: a year when I won that award, there might have 188 00:09:35,240 --> 00:09:38,079 Speaker 2: been flaws in my argument. But because I hadn't grown 189 00:09:38,200 --> 00:09:40,280 Speaker 2: up in the public pension spase, I had a different 190 00:09:40,280 --> 00:09:43,599 Speaker 2: perspective of what might work, and that's what I applied. 191 00:09:43,440 --> 00:09:46,960 Speaker 1: Right, So not only diversity as we tend to think 192 00:09:47,000 --> 00:09:50,760 Speaker 1: of it broadly, but diversity of experience, diversity of ideas, 193 00:09:50,800 --> 00:09:53,680 Speaker 1: just different ways of looking at things. So let's talk 194 00:09:53,720 --> 00:09:56,640 Speaker 1: about your prior experience. You worked at a South African 195 00:09:57,120 --> 00:10:00,160 Speaker 1: based hedge funds or fund of funds. 196 00:10:00,240 --> 00:10:02,200 Speaker 2: But fund of funds, and they did have an F 197 00:10:02,280 --> 00:10:04,160 Speaker 2: three product as well, if you can believe it, a 198 00:10:04,200 --> 00:10:05,520 Speaker 2: fund of fun to funds. 199 00:10:05,679 --> 00:10:10,520 Speaker 1: Oh so that's fun to fun squared. Tell us about 200 00:10:10,520 --> 00:10:12,800 Speaker 1: that experience. Were you actually in South Africa? Are you 201 00:10:12,840 --> 00:10:14,200 Speaker 1: working in the States. 202 00:10:14,520 --> 00:10:15,160 Speaker 3: I was working. 203 00:10:15,200 --> 00:10:19,960 Speaker 2: So they had four offices, one in Switzerland, one in Johannesburg, 204 00:10:20,160 --> 00:10:22,640 Speaker 2: one in Cape Town, and one in New York. And 205 00:10:22,960 --> 00:10:25,960 Speaker 2: so the New York team was the Diligence team, and 206 00:10:26,200 --> 00:10:28,280 Speaker 2: we had a couple of products. I had originally started 207 00:10:28,280 --> 00:10:31,520 Speaker 2: out on the multi strategy product. I had gone to 208 00:10:31,600 --> 00:10:34,880 Speaker 2: work there because I'd previously worked in mortgages, in mortgage backs, 209 00:10:34,920 --> 00:10:37,199 Speaker 2: and as you know, that was around seven and eight 210 00:10:37,240 --> 00:10:37,880 Speaker 2: tricky time. 211 00:10:38,040 --> 00:10:39,079 Speaker 3: Wanted to diversify this. 212 00:10:39,800 --> 00:10:41,679 Speaker 1: Something happened, Something happened. 213 00:10:42,320 --> 00:10:45,000 Speaker 2: So I wanted to try other strategies, and multi strat 214 00:10:45,280 --> 00:10:47,680 Speaker 2: sounded like a good place to learn about a bunch 215 00:10:47,720 --> 00:10:49,800 Speaker 2: of different types of strategies. I was really interested in 216 00:10:49,840 --> 00:10:54,520 Speaker 2: hedge funds. Our clientele was mostly x US, almost exclusively 217 00:10:54,640 --> 00:10:57,160 Speaker 2: x US, and it was great. 218 00:10:57,160 --> 00:10:58,640 Speaker 3: It was the best part about that job. 219 00:10:58,679 --> 00:11:01,559 Speaker 2: Actually, it wasn't even the investing and the meeting funds. 220 00:11:01,600 --> 00:11:03,720 Speaker 2: It was actually that I worked on a team across 221 00:11:03,760 --> 00:11:06,200 Speaker 2: multiple continents and like just trying to stay in touch 222 00:11:06,679 --> 00:11:10,240 Speaker 2: and trying to work together on this portfolio and coordinate meetings. 223 00:11:10,280 --> 00:11:13,360 Speaker 2: And we all had different backgrounds and different investment ideas 224 00:11:13,400 --> 00:11:16,480 Speaker 2: and different clients. Like US clients are very different from 225 00:11:16,559 --> 00:11:19,559 Speaker 2: clients in other countries, so it was really a unique experience. 226 00:11:19,559 --> 00:11:22,240 Speaker 2: I still keep in touch with them. I eventually moved 227 00:11:22,280 --> 00:11:25,280 Speaker 2: over to the global macro CTA type side of the business, 228 00:11:26,040 --> 00:11:28,559 Speaker 2: a little bit of a diversifier, which is funny because 229 00:11:28,920 --> 00:11:32,160 Speaker 2: later at Maryland and then Hawaii, that was a big 230 00:11:32,200 --> 00:11:35,560 Speaker 2: part of our investment strategy was investing in macro or 231 00:11:35,600 --> 00:11:37,040 Speaker 2: CTA and trend type funds. 232 00:11:37,120 --> 00:11:38,880 Speaker 3: So it was a great learning ground for me. 233 00:11:39,520 --> 00:11:41,240 Speaker 1: Was there a lot of travel? You were back and 234 00:11:41,280 --> 00:11:45,199 Speaker 1: forth at Geneva or London or Johannesburg, Zurich. 235 00:11:45,360 --> 00:11:50,120 Speaker 2: Johannesburg and Cape Town the majority of the trips, and 236 00:11:50,160 --> 00:11:52,319 Speaker 2: we tried to go a couple times a year to 237 00:11:52,400 --> 00:11:56,640 Speaker 2: each of the different offices. They would come here as well, 238 00:11:57,000 --> 00:11:59,400 Speaker 2: but at that point I was still fairly young, and 239 00:11:59,440 --> 00:12:02,400 Speaker 2: it wasn't as much client faxing x US, not as 240 00:12:02,440 --> 00:12:04,560 Speaker 2: much explaining, and because I was on the diligence team, 241 00:12:04,640 --> 00:12:06,680 Speaker 2: so more research base. 242 00:12:07,000 --> 00:12:10,360 Speaker 1: That flight to South Africa is thy. 243 00:12:10,200 --> 00:12:12,520 Speaker 2: Two hours with a layover in Dakar, and I remember 244 00:12:12,880 --> 00:12:15,199 Speaker 2: before the airline rules, I got stuck on the tarmac 245 00:12:15,200 --> 00:12:16,280 Speaker 2: once for five hours. 246 00:12:16,400 --> 00:12:22,600 Speaker 1: Wow, no fun. So you end up going from the 247 00:12:22,640 --> 00:12:28,280 Speaker 1: fund of funds to pension funds and what was first 248 00:12:28,360 --> 00:12:32,440 Speaker 1: Maryland or why so Maryland's first. 249 00:12:32,440 --> 00:12:36,040 Speaker 2: I had two brief jobs between the Fund of Funds 250 00:12:36,080 --> 00:12:39,120 Speaker 2: in Maryland and business school in between there, Maryland was first, 251 00:12:39,160 --> 00:12:41,240 Speaker 2: and I never intended to leave Maryland. It was one 252 00:12:41,240 --> 00:12:43,600 Speaker 2: of my favorite jobs. Probably my current job is probably 253 00:12:43,600 --> 00:12:46,160 Speaker 2: my favorite job, but that is a very close, good safe. 254 00:12:48,520 --> 00:12:49,679 Speaker 3: For very similar reasons. 255 00:12:49,720 --> 00:12:53,200 Speaker 1: Actually, But well, tell us why why was Maryland and 256 00:12:53,240 --> 00:12:54,600 Speaker 1: Goldman your favorite jobs? 257 00:12:55,200 --> 00:12:58,040 Speaker 2: I think number one the team my team at Goldman 258 00:12:58,200 --> 00:13:01,160 Speaker 2: and the broader team even and the team at Maryland 259 00:13:01,360 --> 00:13:05,080 Speaker 2: are some of my favorite people. Just really wonderful, smart, 260 00:13:05,160 --> 00:13:07,760 Speaker 2: fun human beings to work with with a very clear mission. 261 00:13:08,760 --> 00:13:12,080 Speaker 2: I also really like the access talking to really smart 262 00:13:12,080 --> 00:13:14,280 Speaker 2: people at Golman. It's the internal access, talking to the 263 00:13:14,320 --> 00:13:17,080 Speaker 2: traders and the pms and the CIOs. And we have 264 00:13:17,160 --> 00:13:18,959 Speaker 2: so many offices across the world that are. 265 00:13:19,360 --> 00:13:21,680 Speaker 1: A unique vision of what's going on in the world, right, 266 00:13:21,720 --> 00:13:25,040 Speaker 1: I mean, I have to think the intelligence that comes 267 00:13:25,120 --> 00:13:30,120 Speaker 1: from that team in what they see everywhere has to 268 00:13:30,160 --> 00:13:33,199 Speaker 1: be incomparable. It's just about anything else. 269 00:13:33,440 --> 00:13:34,120 Speaker 3: It is amazing. 270 00:13:34,360 --> 00:13:37,079 Speaker 2: I sometimes wonder if I would have rather having started 271 00:13:37,120 --> 00:13:39,240 Speaker 2: with this experience and then got what I would have 272 00:13:39,240 --> 00:13:41,559 Speaker 2: been better at Maryland having known what I know now, 273 00:13:42,000 --> 00:13:44,480 Speaker 2: or am I better now having learned how things work 274 00:13:44,520 --> 00:13:47,000 Speaker 2: on the clients. So I go back and forth. But 275 00:13:47,000 --> 00:13:50,319 Speaker 2: I'm lucky to have had both. And at Maryland it 276 00:13:50,440 --> 00:13:52,960 Speaker 2: was a giant pool capital fifty five billion back then. 277 00:13:53,000 --> 00:13:55,559 Speaker 2: I'm not sure exactly what it is now. But you 278 00:13:55,600 --> 00:13:57,360 Speaker 2: could talk to pretty much whoever you wanted to talk 279 00:13:57,400 --> 00:13:58,560 Speaker 2: to if you had a question. If you had a 280 00:13:58,600 --> 00:14:00,959 Speaker 2: question on high yield, It's not conceivable one day you 281 00:14:01,040 --> 00:14:03,880 Speaker 2: might get to talk to Milkin about it, and that 282 00:14:04,640 --> 00:14:08,720 Speaker 2: is just so cool. And I learned a lot because 283 00:14:08,760 --> 00:14:10,760 Speaker 2: remember I majored in French and politics. I did go 284 00:14:10,800 --> 00:14:14,400 Speaker 2: to Chicago, but they teach more finance less about like 285 00:14:14,440 --> 00:14:17,800 Speaker 2: these esoteric strategies. And that's one of the things I 286 00:14:17,840 --> 00:14:20,080 Speaker 2: love about Goldman, and I also loved about Maryland is 287 00:14:20,120 --> 00:14:22,960 Speaker 2: like good people and you're constantly learning and it never 288 00:14:23,080 --> 00:14:23,560 Speaker 2: is boring. 289 00:14:24,560 --> 00:14:27,760 Speaker 1: That sounds fascinating. Let's talk a little bit about your 290 00:14:27,800 --> 00:14:32,440 Speaker 1: time as CIO at Hires. Is that how that's pronounced, Yes, 291 00:14:32,480 --> 00:14:38,560 Speaker 1: the acronym for the Hawaii Investment Employt Retirement System or 292 00:14:38,560 --> 00:14:41,800 Speaker 1: where it's to that effect. How did that come about? 293 00:14:41,840 --> 00:14:45,360 Speaker 1: That seems like such a fascinating position and so far 294 00:14:45,400 --> 00:14:46,280 Speaker 1: away from Maryland's. 295 00:14:48,120 --> 00:14:50,920 Speaker 3: It is interesting how it happened. I guess I got lucky. 296 00:14:51,120 --> 00:14:55,040 Speaker 2: In January or February of twenty eighteen, Hawaii HA parted 297 00:14:55,080 --> 00:14:58,000 Speaker 2: ways with their then chief investment officer and there was 298 00:14:58,040 --> 00:15:02,640 Speaker 2: an article in a magazine for institutional allocators about it 299 00:15:02,680 --> 00:15:04,520 Speaker 2: and how they were hiring. And I still have the 300 00:15:04,520 --> 00:15:06,320 Speaker 2: email I sent to my husband and I said, ha, ha, 301 00:15:06,560 --> 00:15:09,040 Speaker 2: want to move to Hawaii. And I forwarded it to 302 00:15:09,120 --> 00:15:12,560 Speaker 2: him and I was very happy at Maryland. Wasn't planning 303 00:15:12,560 --> 00:15:15,960 Speaker 2: on leaving, and I had a lot of ties to 304 00:15:16,000 --> 00:15:18,480 Speaker 2: Maryland that I didn't think I wanted to break. But 305 00:15:18,800 --> 00:15:21,480 Speaker 2: on a whim, I applied, and at the same time 306 00:15:21,560 --> 00:15:24,040 Speaker 2: had mentioned to a friend of mine that I had applied, 307 00:15:24,080 --> 00:15:26,480 Speaker 2: And it turns out the recruiter had called my friend 308 00:15:26,600 --> 00:15:29,480 Speaker 2: about the job and he said, I'm not interested, but 309 00:15:29,520 --> 00:15:31,960 Speaker 2: I know someone who applied and she's got a risk background, 310 00:15:31,960 --> 00:15:32,920 Speaker 2: and I know you at. 311 00:15:32,760 --> 00:15:34,960 Speaker 3: How I care about risk, and so he put me 312 00:15:35,000 --> 00:15:36,000 Speaker 3: in contact with a recruiter. 313 00:15:36,600 --> 00:15:38,640 Speaker 2: They reached out and they said, look, you're one of. 314 00:15:38,560 --> 00:15:40,600 Speaker 3: One hundred and forty. It's unlikely. 315 00:15:41,080 --> 00:15:44,280 Speaker 2: So I actually went on vacasion. I went to work 316 00:15:44,320 --> 00:15:46,280 Speaker 2: in Asia. It was gone for a couple of months 317 00:15:46,640 --> 00:15:48,920 Speaker 2: here and there. When I got back, they said, okay, 318 00:15:49,120 --> 00:15:50,840 Speaker 2: that's STI unlikely, but you're down to about forty. 319 00:15:51,080 --> 00:15:53,000 Speaker 3: I was like, oh, oh, well, I like those odds. 320 00:15:53,000 --> 00:15:53,560 Speaker 3: Thos are okay. 321 00:15:54,080 --> 00:15:56,680 Speaker 2: And then by June I was telling my husband I'm 322 00:15:56,680 --> 00:15:58,520 Speaker 2: in the final four. We got to fly out there, 323 00:15:58,800 --> 00:16:01,600 Speaker 2: and he said, I moving to Hawaii. He had he 324 00:16:01,640 --> 00:16:04,160 Speaker 2: had a great job. He's very senior in his career. 325 00:16:05,200 --> 00:16:07,800 Speaker 2: Both our families are on the Ease coast. She went 326 00:16:07,800 --> 00:16:09,640 Speaker 2: out there for about a week and at the end 327 00:16:09,640 --> 00:16:12,320 Speaker 2: of the week that I interviewed, got the job and 328 00:16:12,360 --> 00:16:13,120 Speaker 2: we accepted by the. 329 00:16:13,120 --> 00:16:13,640 Speaker 3: End of the week. 330 00:16:13,920 --> 00:16:17,440 Speaker 1: Really, so what changed to make your husband say, yeah, 331 00:16:17,440 --> 00:16:20,240 Speaker 1: I could live in tropical paradise if I have to. 332 00:16:20,640 --> 00:16:22,240 Speaker 3: I think, you know, he's a really good guy. 333 00:16:22,320 --> 00:16:25,640 Speaker 2: I basically said, I've been working in my whole life 334 00:16:25,760 --> 00:16:28,640 Speaker 2: for something like this. I was thirty four, I was 335 00:16:28,640 --> 00:16:31,760 Speaker 2: a female. It was, you know, a Hawaii pension. There's 336 00:16:31,760 --> 00:16:34,000 Speaker 2: only so many pensions take pensions in the US. I said, 337 00:16:34,040 --> 00:16:35,800 Speaker 2: who knows what the next one to crop up will be. 338 00:16:36,320 --> 00:16:37,280 Speaker 3: This is unique. 339 00:16:37,400 --> 00:16:40,720 Speaker 2: There's just there aren't that many young or females cee 340 00:16:40,720 --> 00:16:43,760 Speaker 2: Ia is I have got to try this, And I 341 00:16:43,760 --> 00:16:45,640 Speaker 2: think he could tell how badly I wanted it, and 342 00:16:45,680 --> 00:16:49,640 Speaker 2: he sweetly gave up his job of fifteen years and 343 00:16:49,720 --> 00:16:51,080 Speaker 2: wow followed me out there. 344 00:16:51,400 --> 00:16:53,200 Speaker 1: Wow. So, how long did you stay in Hawaii? 345 00:16:53,200 --> 00:16:54,200 Speaker 3: For four years? 346 00:16:54,320 --> 00:16:56,920 Speaker 1: You lived on the islands? We did, so part of 347 00:16:56,960 --> 00:17:00,560 Speaker 1: me thinks of Hawaii as his tropical paradise. But I've 348 00:17:00,600 --> 00:17:03,160 Speaker 1: spent time on other islands, and I know at a 349 00:17:03,160 --> 00:17:06,679 Speaker 1: certain point you get a little island fever. You're stuck 350 00:17:07,160 --> 00:17:10,080 Speaker 1: with your seeing the same things. How long did it 351 00:17:10,119 --> 00:17:13,639 Speaker 1: take before it was no longer tropical paradise? It's just 352 00:17:13,760 --> 00:17:14,359 Speaker 1: where we lived. 353 00:17:15,480 --> 00:17:19,600 Speaker 2: Well, I think COVID sped up the process a little bit. 354 00:17:19,840 --> 00:17:22,280 Speaker 2: I also, I don't know if you've ever experienced this. 355 00:17:22,359 --> 00:17:24,320 Speaker 2: There's like one day when your parents are really young, 356 00:17:24,359 --> 00:17:26,399 Speaker 2: and then within thirty minutes they all of a sudden 357 00:17:26,440 --> 00:17:29,120 Speaker 2: mamede and you miss them and you've got to take 358 00:17:29,119 --> 00:17:30,760 Speaker 2: care of them. And so my parents, if they listen 359 00:17:30,840 --> 00:17:32,560 Speaker 2: to this, are going to kill me for calling them old. 360 00:17:32,600 --> 00:17:35,679 Speaker 2: But you know, I had little kids had when I 361 00:17:35,720 --> 00:17:37,520 Speaker 2: moved there. My daughter was two, my son was four, 362 00:17:37,560 --> 00:17:40,359 Speaker 2: and I think they saw them two three times, right, 363 00:17:40,400 --> 00:17:43,639 Speaker 2: and I was realizing I was sacrificing my family to 364 00:17:43,680 --> 00:17:48,680 Speaker 2: live in this beautiful location. I also really missed being 365 00:17:48,720 --> 00:17:52,399 Speaker 2: in New York. It's an island too, and that's an island, right, 366 00:17:53,240 --> 00:17:55,880 Speaker 2: And I missed being around the buzz of finance. It's 367 00:17:55,960 --> 00:17:58,479 Speaker 2: very easy in Hawaii to get wrapped up in the 368 00:17:58,520 --> 00:18:00,840 Speaker 2: water and surfing in the mountains and the hiking and 369 00:18:01,400 --> 00:18:03,359 Speaker 2: all of that is lovely. But I run it about 370 00:18:03,359 --> 00:18:05,240 Speaker 2: one hundred and sixty miles an hour, and I'd like 371 00:18:05,280 --> 00:18:07,640 Speaker 2: to be at a place where people run at least 372 00:18:07,680 --> 00:18:09,600 Speaker 2: at that And I have to say Goldman Sachs definitely 373 00:18:09,640 --> 00:18:11,800 Speaker 2: runs at one hundred and sixty miles an hour, and 374 00:18:12,119 --> 00:18:15,800 Speaker 2: I just I wanted to go back to finance and 375 00:18:15,880 --> 00:18:19,800 Speaker 2: being more like in the middle of all the frenzy. 376 00:18:20,440 --> 00:18:24,399 Speaker 1: I totally get that. I know this is sort of 377 00:18:24,480 --> 00:18:28,000 Speaker 1: old school, but it's true. Once you leave New York, 378 00:18:28,040 --> 00:18:31,879 Speaker 1: you've left town. You really have And it's and I 379 00:18:31,920 --> 00:18:34,800 Speaker 1: don't just mean waiting twenty minutes for an egg McMuffin 380 00:18:34,840 --> 00:18:39,080 Speaker 1: in Richmond, Virginia. I mean I leave New York, I 381 00:18:39,119 --> 00:18:42,040 Speaker 1: make a concerted effort to like take it down a 382 00:18:42,119 --> 00:18:44,920 Speaker 1: gear because the rest of the world has a very 383 00:18:44,960 --> 00:18:48,359 Speaker 1: different pace than New York City, and I imagine places 384 00:18:48,880 --> 00:18:52,640 Speaker 1: like London and Hong Kong and other financial capitals where 385 00:18:52,680 --> 00:18:55,119 Speaker 1: it's pedal to the metal. Did it take you a 386 00:18:55,119 --> 00:18:57,600 Speaker 1: while to get back into the rhythm here or like 387 00:18:57,720 --> 00:18:59,520 Speaker 1: riding a bike, you were just right back into. 388 00:18:59,400 --> 00:19:01,720 Speaker 2: It's funny that Hong Kong's my second favorite city in 389 00:19:01,720 --> 00:19:04,200 Speaker 2: the world. New York is number one. No, it took 390 00:19:04,440 --> 00:19:06,320 Speaker 2: all of thirty seconds. In fact, I very much wanted 391 00:19:06,359 --> 00:19:07,840 Speaker 2: to live in Manhattan. I wanted to go back to 392 00:19:07,920 --> 00:19:09,680 Speaker 2: the West Village where I lived in my twenties. 393 00:19:10,440 --> 00:19:11,520 Speaker 3: But my husband was. 394 00:19:11,680 --> 00:19:13,640 Speaker 2: Like, well, with two kids and a dog and a cat, 395 00:19:13,760 --> 00:19:17,440 Speaker 2: maybe we should not do that. But no, I actually 396 00:19:17,800 --> 00:19:20,040 Speaker 2: pretty long commute. I love coming in the city every day. 397 00:19:20,040 --> 00:19:22,320 Speaker 2: I don't think for me personally, there's no better city 398 00:19:22,320 --> 00:19:22,720 Speaker 2: in the world. 399 00:19:22,720 --> 00:19:25,000 Speaker 1: I love. Well, your commute is not bad. There are 400 00:19:25,080 --> 00:19:26,280 Speaker 1: much worse commutes. 401 00:19:25,920 --> 00:19:27,560 Speaker 3: Than It's about an hour forty five. 402 00:19:27,680 --> 00:19:30,200 Speaker 1: Oh really, because you have to go down to Yes, 403 00:19:30,280 --> 00:19:34,359 Speaker 1: that's why. See, they need to move into the space 404 00:19:34,560 --> 00:19:38,480 Speaker 1: between right between Penn Station and Grand Central knock a 405 00:19:38,520 --> 00:19:41,359 Speaker 1: half hour off your commute each other. Oh. Absolutely, So 406 00:19:41,760 --> 00:19:46,680 Speaker 1: let's talk a little bit about risk management. How does 407 00:19:46,720 --> 00:19:51,720 Speaker 1: that come into play when you're looking at a big 408 00:19:51,760 --> 00:19:55,680 Speaker 1: pension fund that has all of these obligations for employees 409 00:19:56,560 --> 00:19:57,480 Speaker 1: in perpetuity. 410 00:19:57,840 --> 00:20:02,120 Speaker 2: Right First, management is tough a pension and Goldman Sachs 411 00:20:02,160 --> 00:20:04,840 Speaker 2: provides itself on being a good manager of risk. But 412 00:20:04,920 --> 00:20:08,640 Speaker 2: Goldman Sachs has fewer constraints. We actually have a budget 413 00:20:08,640 --> 00:20:11,159 Speaker 2: for risk management and technology and tools. That is not 414 00:20:11,280 --> 00:20:13,960 Speaker 2: something your typical pension is able to do. And it's 415 00:20:14,000 --> 00:20:18,600 Speaker 2: a critical need and they often have to find multiple 416 00:20:18,640 --> 00:20:22,080 Speaker 2: tools that they can use, some free, some not free 417 00:20:22,160 --> 00:20:26,479 Speaker 2: to try to make a good and robust risk management system. 418 00:20:26,480 --> 00:20:29,680 Speaker 2: But it's definitely a challenge and it's really important because 419 00:20:29,760 --> 00:20:32,520 Speaker 2: to your point, especially now, it's always been important, but 420 00:20:32,560 --> 00:20:35,800 Speaker 2: I think post COVID, the industry is starting to realize 421 00:20:35,800 --> 00:20:41,000 Speaker 2: that liquidity for pension funds is extremely important. It affects 422 00:20:41,040 --> 00:20:43,840 Speaker 2: almost everything they do and the lack of it could 423 00:20:43,880 --> 00:20:46,040 Speaker 2: have really dire outcomes for the pensioners and for the 424 00:20:46,040 --> 00:20:49,480 Speaker 2: system itself and have a host of other consequences. 425 00:20:50,119 --> 00:20:52,359 Speaker 1: Is it something that can be outsourced or does it 426 00:20:52,400 --> 00:20:53,800 Speaker 1: have to be managed in house? 427 00:20:54,840 --> 00:20:56,679 Speaker 2: I think it would be tough to outsource all of 428 00:20:56,680 --> 00:20:59,359 Speaker 2: it unless also the investment team was partially outsourced. 429 00:20:59,400 --> 00:21:00,440 Speaker 3: I think there needs to be. 430 00:21:00,600 --> 00:21:03,399 Speaker 2: Some marriage between the two. But I do think that 431 00:21:03,440 --> 00:21:06,160 Speaker 2: you can outsource certain functions of it, or you can 432 00:21:06,240 --> 00:21:09,200 Speaker 2: have a consultant assist with the risk management. But I 433 00:21:09,240 --> 00:21:10,879 Speaker 2: think the most important thing that you have to do 434 00:21:10,920 --> 00:21:12,960 Speaker 2: at a pension fund for that is get a hold 435 00:21:12,960 --> 00:21:15,800 Speaker 2: on your You have to have good lawyers and good contracts. 436 00:21:15,880 --> 00:21:18,359 Speaker 2: You have to have a clear view of your liquidity 437 00:21:18,600 --> 00:21:19,560 Speaker 2: and your cash flows. 438 00:21:19,600 --> 00:21:20,280 Speaker 3: It's critical. 439 00:21:20,400 --> 00:21:22,280 Speaker 1: So let's talk a little bit about that, because that's 440 00:21:22,359 --> 00:21:24,800 Speaker 1: kind of fascinating. When when I think of a pension fund, 441 00:21:25,200 --> 00:21:29,280 Speaker 1: I think of existing employees contributing into the funds a 442 00:21:29,320 --> 00:21:33,800 Speaker 1: source of liquidity, and retirees drawing down on the fund, 443 00:21:33,840 --> 00:21:39,480 Speaker 1: which is the liability or the future obligations. When when 444 00:21:39,480 --> 00:21:43,600 Speaker 1: the pandemic shuts everything down, does this mean the current 445 00:21:43,600 --> 00:21:47,720 Speaker 1: employees are not making contributions? What happened during that period. 446 00:21:47,800 --> 00:21:50,920 Speaker 2: So we actually never fully shut down. We were always 447 00:21:50,960 --> 00:21:53,280 Speaker 2: in operations, and we were I was in the office 448 00:21:53,280 --> 00:21:55,960 Speaker 2: pretty much full time. But one thing I want to 449 00:21:56,000 --> 00:21:58,800 Speaker 2: point out is that not all employees at all. 450 00:21:58,640 --> 00:22:00,800 Speaker 3: Pension funds contribute. Some don't. 451 00:22:00,920 --> 00:22:04,000 Speaker 2: There are certain types of employer sponsor plans where some 452 00:22:04,080 --> 00:22:06,600 Speaker 2: portion of the employees are potentially all are part of 453 00:22:06,640 --> 00:22:10,280 Speaker 2: non contributory plans. Now, their multipliers are different, their payouts 454 00:22:10,280 --> 00:22:12,919 Speaker 2: are different. But that's a tough situation when you're not 455 00:22:13,040 --> 00:22:16,480 Speaker 2: paying in and you're only receiving, right, but what you 456 00:22:16,560 --> 00:22:22,320 Speaker 2: did mention So in COVID, a bunch of pension funds 457 00:22:22,560 --> 00:22:25,200 Speaker 2: experienced or thought they were going to experience furloughs or 458 00:22:25,440 --> 00:22:27,959 Speaker 2: cuts in their work week, which are essentially cuts into wages. Right, 459 00:22:28,000 --> 00:22:31,200 Speaker 2: So fifty percent furloughed, you're also fifty percent wage cut. 460 00:22:31,520 --> 00:22:35,600 Speaker 2: Those would slow contributions into the system, but it depends 461 00:22:35,600 --> 00:22:38,680 Speaker 2: on how you calculate the multiplier going out. So if 462 00:22:38,680 --> 00:22:41,919 Speaker 2: it's based on their highest wage, ever, it could be 463 00:22:42,040 --> 00:22:44,840 Speaker 2: your contribution to actually stay constant while the incoming cash 464 00:22:44,840 --> 00:22:49,080 Speaker 2: flows are not. Also, in many pension funds, while there 465 00:22:49,119 --> 00:22:53,120 Speaker 2: are technically penalties for employers not contributing to the system, 466 00:22:53,440 --> 00:22:56,159 Speaker 2: it's very politically unpopular for a pension fund to go 467 00:22:56,240 --> 00:23:00,119 Speaker 2: after it's counties or teachers or police for payments, So 468 00:23:00,160 --> 00:23:01,760 Speaker 2: it's very unlikely that would happen. 469 00:23:01,600 --> 00:23:05,040 Speaker 1: Especially in the middle of a crazy pandemic with everything 470 00:23:05,080 --> 00:23:06,439 Speaker 1: associated there too. 471 00:23:06,400 --> 00:23:10,840 Speaker 2: So it's a very precarious position. Luckily it actually, as 472 00:23:10,840 --> 00:23:13,720 Speaker 2: you probably know, the market turned around rather sharply. There 473 00:23:13,760 --> 00:23:16,240 Speaker 2: was a good equity rebound. A lot of this didn't 474 00:23:16,320 --> 00:23:18,679 Speaker 2: end up happening. In fact, state revenues were often at 475 00:23:18,760 --> 00:23:22,920 Speaker 2: all time highs from taxes when this happened, so that 476 00:23:23,040 --> 00:23:26,000 Speaker 2: the worst was somewhat avoided in the US, I will say, 477 00:23:27,000 --> 00:23:29,280 Speaker 2: but it did shed a light on the fact that, 478 00:23:30,200 --> 00:23:32,399 Speaker 2: you know, you still can have equities and bonds right 479 00:23:32,480 --> 00:23:34,640 Speaker 2: down at the same time, you can have a challenging 480 00:23:34,680 --> 00:23:37,240 Speaker 2: liquidity environment, just like we had No eight, which I 481 00:23:37,240 --> 00:23:39,800 Speaker 2: don't think you know, they're not the same thing, but 482 00:23:40,000 --> 00:23:42,040 Speaker 2: similar challenges in some respects. 483 00:23:42,280 --> 00:23:45,879 Speaker 1: So how do you think about I'm still looking at 484 00:23:45,960 --> 00:23:49,919 Speaker 1: the liquidity issue. How do you think about under normal 485 00:23:49,960 --> 00:23:57,200 Speaker 1: circumstances matching future liabilities with liquidity or cash flows. I'm 486 00:23:57,200 --> 00:23:59,760 Speaker 1: sure there are all sorts of actuarial tables that you 487 00:23:59,800 --> 00:24:03,159 Speaker 1: were working with, but you have to think, what are 488 00:24:03,280 --> 00:24:06,600 Speaker 1: obligations going to be five years, ten years, twenty years out. 489 00:24:07,080 --> 00:24:10,760 Speaker 1: Most investors don't think in those times, No. 490 00:24:11,160 --> 00:24:14,040 Speaker 2: They probably don't unless they're investing in private markets or 491 00:24:14,040 --> 00:24:17,080 Speaker 2: in your house. You're probably thinking about how to afford 492 00:24:17,080 --> 00:24:20,440 Speaker 2: those payments, So in the US and Europe or abroad, 493 00:24:20,480 --> 00:24:24,000 Speaker 2: they're actually two separate things. So in the US, corporate 494 00:24:24,000 --> 00:24:28,320 Speaker 2: pensions other than public pensions, right, corporate pensions tend to 495 00:24:28,359 --> 00:24:31,240 Speaker 2: focus more on the liability driven side, meaning they're matching 496 00:24:31,280 --> 00:24:34,200 Speaker 2: their cash flows very carefully. On the public side, usually 497 00:24:34,560 --> 00:24:38,320 Speaker 2: it's not an LDI type format, they are monitoring their liquidity. 498 00:24:38,359 --> 00:24:40,000 Speaker 2: So they might have a coverage ratio, so they might 499 00:24:40,040 --> 00:24:44,240 Speaker 2: say how many times can we meet our pension payments 500 00:24:44,240 --> 00:24:48,600 Speaker 2: and private market private equity capital commitment pacing over a 501 00:24:48,640 --> 00:24:51,640 Speaker 2: certain ratio with no contributions over a certain umbur of years. 502 00:24:51,680 --> 00:24:53,920 Speaker 2: So maybe they say, okay, we want it to be quarters, 503 00:24:53,920 --> 00:24:56,000 Speaker 2: we want it to be twenty times, and then they 504 00:24:56,000 --> 00:24:58,320 Speaker 2: can manage to that or something like that. And they 505 00:24:58,359 --> 00:25:02,399 Speaker 2: often have models for modeling the on corporate pensions or 506 00:25:02,440 --> 00:25:07,520 Speaker 2: European pensions. They most likely are involved in either liability 507 00:25:07,720 --> 00:25:10,200 Speaker 2: driven investing or this cash flow matching. But I will 508 00:25:10,200 --> 00:25:13,560 Speaker 2: say of the top ten questions I get from allocators 509 00:25:13,600 --> 00:25:16,920 Speaker 2: this year, one of them is can we implement cash 510 00:25:16,920 --> 00:25:20,560 Speaker 2: flow matching to try to help our liquidity issues? Because 511 00:25:20,600 --> 00:25:22,919 Speaker 2: of the denominator effect right now, a lot of pension 512 00:25:22,920 --> 00:25:25,760 Speaker 2: funds in the US are still suffering from some liquidity 513 00:25:26,280 --> 00:25:29,199 Speaker 2: issues since they're super overweight private equity and the equity 514 00:25:29,240 --> 00:25:31,040 Speaker 2: markets had stumbled right. 515 00:25:30,840 --> 00:25:33,800 Speaker 1: So that means while the value of the fund is 516 00:25:33,840 --> 00:25:36,320 Speaker 1: where they wanted to be, the liquidity in the ability 517 00:25:36,359 --> 00:25:39,280 Speaker 1: to send out cash is somewhat compromise. 518 00:25:39,359 --> 00:25:43,280 Speaker 2: It's challenging, especially because private equity funds are not distributing 519 00:25:43,320 --> 00:25:46,040 Speaker 2: as much as they used to because there haven't been 520 00:25:46,080 --> 00:25:49,120 Speaker 2: as many sales in the market or exits, so they're 521 00:25:49,119 --> 00:25:51,000 Speaker 2: getting hit on sort of both ends. 522 00:25:51,119 --> 00:25:55,120 Speaker 1: So in twenty twenty two, when equities were down and 523 00:25:55,240 --> 00:25:58,360 Speaker 1: fixed income were down, they were both down double digits. 524 00:25:58,720 --> 00:26:01,119 Speaker 1: Were you saying to yourself, I'm glad I'm not running 525 00:26:01,119 --> 00:26:04,359 Speaker 1: a state pension fund this year, or like, what was 526 00:26:04,359 --> 00:26:07,600 Speaker 1: that experience like from your perspective where you are now? 527 00:26:09,160 --> 00:26:14,200 Speaker 2: No, so, I you know Hawaii, It should have done 528 00:26:14,280 --> 00:26:16,239 Speaker 2: probably quite well during that time. It depends on your 529 00:26:16,240 --> 00:26:19,640 Speaker 2: asset allocation. I also don't think you should ever really 530 00:26:19,640 --> 00:26:22,560 Speaker 2: beat yourself up for sticking to your acid allocation. 531 00:26:22,240 --> 00:26:23,240 Speaker 3: And your beliefs. 532 00:26:24,040 --> 00:26:26,880 Speaker 2: I also think that was a great learning experience. But 533 00:26:26,920 --> 00:26:32,280 Speaker 2: more importantly, I have always struggled with why there seems 534 00:26:32,280 --> 00:26:34,040 Speaker 2: to be some belief that equities and bonds will be 535 00:26:34,119 --> 00:26:35,720 Speaker 2: negatively correlated throughout time. 536 00:26:35,840 --> 00:26:37,760 Speaker 3: Oh, it's simply not the case. 537 00:26:37,880 --> 00:26:40,640 Speaker 1: Go back to nineteen eighty one, you've had both stocks 538 00:26:40,640 --> 00:26:43,840 Speaker 1: and bonds down. I believe double digits that year, and 539 00:26:44,720 --> 00:26:46,680 Speaker 1: the year before was pretty close as well. 540 00:26:46,840 --> 00:26:50,280 Speaker 2: Right, And if you look at inflationary environments, a positive 541 00:26:50,280 --> 00:26:51,400 Speaker 2: correlation between the two. 542 00:26:51,440 --> 00:26:52,680 Speaker 3: It's also not uncommon. 543 00:26:52,800 --> 00:26:55,960 Speaker 2: And I think, sitting back in twenty twenty, twenty twenty one, 544 00:26:56,200 --> 00:26:59,119 Speaker 2: I was adamant that inflation was not transitory, adamant and 545 00:26:59,160 --> 00:27:03,520 Speaker 2: super public about it. I had many people, super famous 546 00:27:03,520 --> 00:27:05,840 Speaker 2: people telling me I was completely wrong. It's the one 547 00:27:05,840 --> 00:27:08,919 Speaker 2: good call I made ever my entire life. But so 548 00:27:09,000 --> 00:27:11,919 Speaker 2: I felt confident that I had prepared myself for this 549 00:27:12,000 --> 00:27:14,959 Speaker 2: type of environment. It's tricky, though, because one of the 550 00:27:14,960 --> 00:27:16,920 Speaker 2: things that can help you in this sort of environment 551 00:27:17,080 --> 00:27:19,800 Speaker 2: is a diversifier. It could be head friends, it can 552 00:27:19,840 --> 00:27:23,400 Speaker 2: be commodities, it could be cash, right, but commodities were 553 00:27:23,400 --> 00:27:26,400 Speaker 2: often taken out of institutional portfolios a decade or so ago, 554 00:27:26,520 --> 00:27:30,000 Speaker 2: because really they so there was at one point right 555 00:27:30,119 --> 00:27:33,240 Speaker 2: after I think actually the Gonzex Commodities Index came into 556 00:27:33,280 --> 00:27:37,240 Speaker 2: existence commodities actually struggled right after that index came out 557 00:27:37,280 --> 00:27:39,320 Speaker 2: for a while, right, And also the makeup of that 558 00:27:39,359 --> 00:27:43,399 Speaker 2: index has changed over time. It used to be I believe, 559 00:27:43,440 --> 00:27:48,480 Speaker 2: mostly like cattle features, but in commodities and disease. So 560 00:27:48,600 --> 00:27:50,840 Speaker 2: a lot of institution investors got tired of like the 561 00:27:51,040 --> 00:27:54,080 Speaker 2: challenging returns and the volatility and commodities. Also, it can 562 00:27:54,160 --> 00:27:56,960 Speaker 2: be challenging to invest in something without like an you 563 00:27:57,000 --> 00:27:58,840 Speaker 2: know that's based on supply and demand and. 564 00:27:58,800 --> 00:28:00,359 Speaker 3: Not some sort of like intrinsic value. 565 00:28:00,640 --> 00:28:02,439 Speaker 2: And they took it out of their asset allocation in 566 00:28:02,480 --> 00:28:05,800 Speaker 2: favor of other strategies. So when the pandemic came, they 567 00:28:05,800 --> 00:28:08,240 Speaker 2: didn't have that as a diversifier outright. They might have 568 00:28:08,320 --> 00:28:10,240 Speaker 2: had it through it's also hard to invest in start. 569 00:28:10,480 --> 00:28:13,119 Speaker 1: It would have been a good inflation diversified but it 570 00:28:13,160 --> 00:28:13,640 Speaker 1: wasn't there. 571 00:28:13,960 --> 00:28:16,200 Speaker 2: And once you start looking for something when the ship's 572 00:28:16,200 --> 00:28:17,960 Speaker 2: already sinking, right, it's. 573 00:28:17,800 --> 00:28:21,159 Speaker 3: A little late. So I was what I was most curious. 574 00:28:20,880 --> 00:28:23,080 Speaker 2: About actually in twenty twenty two, if when we saw 575 00:28:23,119 --> 00:28:25,679 Speaker 2: asset liability studies come out in twenty twenty three for 576 00:28:25,760 --> 00:28:28,040 Speaker 2: pension funds, where we going to see people putting commodities 577 00:28:28,119 --> 00:28:31,760 Speaker 2: back into their portfolio. And no, but out of the 578 00:28:31,800 --> 00:28:36,920 Speaker 2: cash allocations at some endowments and foundations, at some pensions 579 00:28:36,920 --> 00:28:40,560 Speaker 2: there's gold allocations like the outright gold allocations, but they're 580 00:28:40,560 --> 00:28:45,080 Speaker 2: not they're not in the investment policy statement. The interesting yes, 581 00:28:45,280 --> 00:28:47,360 Speaker 2: in for the most part, this is not you know, ubigodius. 582 00:28:47,480 --> 00:28:50,600 Speaker 2: But so that was an interesting play. And then but 583 00:28:51,000 --> 00:28:53,000 Speaker 2: another question I got in twenty twenty three that I 584 00:28:53,000 --> 00:28:55,840 Speaker 2: haven't heard in a long time is people asking for 585 00:28:56,000 --> 00:29:01,040 Speaker 2: information on CTA's trend following importable alpha to have diversified 586 00:29:01,280 --> 00:29:03,560 Speaker 2: buyers and try to ease cash in this environment. 587 00:29:03,800 --> 00:29:07,560 Speaker 1: That's intriguing. Let me stick with either gold or commodities 588 00:29:07,640 --> 00:29:12,520 Speaker 1: or both. How much of the large allocators a voidance 589 00:29:12,560 --> 00:29:16,120 Speaker 1: of that has to do with the fact that academia 590 00:29:16,280 --> 00:29:20,760 Speaker 1: is not a big fan of commodities. They are not 591 00:29:20,880 --> 00:29:23,600 Speaker 1: just gold. But when you look at Kamali's general as 592 00:29:23,600 --> 00:29:29,480 Speaker 1: opposed to trend following and specific trading systems, the academics 593 00:29:29,480 --> 00:29:31,040 Speaker 1: I always look at it and say, we don't see 594 00:29:31,040 --> 00:29:34,920 Speaker 1: a real return here over longer periods of time. There 595 00:29:34,960 --> 00:29:37,800 Speaker 1: are specific short periods of time where they do spectacular, 596 00:29:38,200 --> 00:29:41,560 Speaker 1: but over long time and eventually mean reverts. Is the 597 00:29:41,800 --> 00:29:45,280 Speaker 1: allocator issue with commodities a function of, Hey, we just 598 00:29:45,360 --> 00:29:47,360 Speaker 1: don't have the white papers to show this is a 599 00:29:47,400 --> 00:29:50,479 Speaker 1: good long term investment or is it something else? And 600 00:29:50,720 --> 00:29:52,920 Speaker 1: I know I'm calling on you to speculate because it's 601 00:29:53,560 --> 00:29:54,440 Speaker 1: a goofy question. 602 00:29:54,800 --> 00:29:55,320 Speaker 3: Well I'm not. 603 00:29:56,080 --> 00:29:57,480 Speaker 2: I would love to agree with you that it is 604 00:29:57,520 --> 00:30:01,080 Speaker 2: the academia, But academia a and always predict the best 605 00:30:01,240 --> 00:30:03,880 Speaker 2: outcomes in I can say this because my dad's an 606 00:30:03,880 --> 00:30:07,000 Speaker 2: academic don't always have the best outcomes in terms of investing. 607 00:30:07,080 --> 00:30:09,320 Speaker 2: I do think there's some merit in staying that. But 608 00:30:09,360 --> 00:30:11,680 Speaker 2: I would also point out that risk parity doesn't have 609 00:30:11,720 --> 00:30:14,920 Speaker 2: a deep history in academia and doesn't have a ton 610 00:30:14,960 --> 00:30:18,720 Speaker 2: of support. And yet risk parity was historically very popular. 611 00:30:18,560 --> 00:30:20,720 Speaker 1: And it's done fairly well recently. 612 00:30:20,480 --> 00:30:23,440 Speaker 2: Great So I don't know if it's purely academic based. 613 00:30:23,480 --> 00:30:25,400 Speaker 2: I think part of it is a volatility, and part 614 00:30:25,400 --> 00:30:27,560 Speaker 2: of it is that it is genuinely unless you're doing 615 00:30:27,600 --> 00:30:29,760 Speaker 2: it through a hedged vehicle or a hedge fund or 616 00:30:29,800 --> 00:30:33,840 Speaker 2: an alternative investment, it is hard to get access to commodities. Typically, 617 00:30:34,360 --> 00:30:36,520 Speaker 2: it's just not the easiest thing to invest in. And 618 00:30:36,560 --> 00:30:40,440 Speaker 2: a lot of funds historically were prohibited from investing in alternatives. 619 00:30:39,920 --> 00:30:42,320 Speaker 1: Meaning they can't invest in futures or anything with the 620 00:30:42,360 --> 00:30:45,200 Speaker 1: liability components of it. So let's talk a little bit 621 00:30:45,200 --> 00:30:48,640 Speaker 1: about what you do at Goldman Sachs's asset management, starting 622 00:30:48,680 --> 00:30:51,400 Speaker 1: with how did you end up at Goldman? It sounds 623 00:30:51,440 --> 00:30:55,320 Speaker 1: like things were delightful on the island of Oahu where 624 00:30:55,320 --> 00:30:57,680 Speaker 1: you were working in Hawaii. Is that where you were 625 00:30:57,720 --> 00:31:02,320 Speaker 1: living or yes? Uh huh not a terrible place to 626 00:31:02,360 --> 00:31:04,080 Speaker 1: set up shop, right, No, it was. 627 00:31:04,080 --> 00:31:06,880 Speaker 3: A wonderful place to live. Yes. 628 00:31:07,000 --> 00:31:09,200 Speaker 2: I would have bet you money I wouldn't have ended 629 00:31:09,240 --> 00:31:10,720 Speaker 2: up at Goldman Sachs two years ago. 630 00:31:11,440 --> 00:31:14,000 Speaker 1: So you weren't going to leave Maryland. You were never 631 00:31:14,000 --> 00:31:15,560 Speaker 1: going to end up in a while. You weren't going 632 00:31:15,640 --> 00:31:17,880 Speaker 1: to go in Goldman. I'm taking the other side of 633 00:31:17,920 --> 00:31:21,360 Speaker 1: your trade, your career. So how did this come about? 634 00:31:21,760 --> 00:31:22,000 Speaker 4: Well? 635 00:31:22,880 --> 00:31:27,640 Speaker 2: I decided to leave Hawaii, believe in about maybe March 636 00:31:27,640 --> 00:31:31,760 Speaker 2: April May of twenty twenty two, and I gave a 637 00:31:31,760 --> 00:31:33,760 Speaker 2: couple months notice and I did not have another job 638 00:31:33,800 --> 00:31:34,239 Speaker 2: lined up. 639 00:31:34,320 --> 00:31:36,440 Speaker 1: I did not know what I wanted to do. Wow. 640 00:31:36,560 --> 00:31:38,000 Speaker 3: So that is a common trend with me. 641 00:31:38,920 --> 00:31:40,800 Speaker 1: I usually yes, something will come up. 642 00:31:41,560 --> 00:31:44,880 Speaker 2: I just can't quiet quit, so I need to just say, hey, 643 00:31:44,880 --> 00:31:45,600 Speaker 2: this isn't the right fit. 644 00:31:45,680 --> 00:31:46,360 Speaker 3: Something will happen. 645 00:31:47,520 --> 00:31:50,720 Speaker 2: And I evaluated what I wanted to do next, and 646 00:31:50,760 --> 00:31:52,440 Speaker 2: I sort of just assumed, Okay, I'll go be a 647 00:31:52,480 --> 00:31:56,400 Speaker 2: CIO somewhere else. We'll see what happens. And I was 648 00:31:56,440 --> 00:31:59,600 Speaker 2: close to taking another role. And when I started thinking 649 00:31:59,600 --> 00:32:03,160 Speaker 2: about we're at Goldman Sachs, I thought, this is again 650 00:32:03,360 --> 00:32:05,880 Speaker 2: just like Chicago. This may hurt, this may be really hard. 651 00:32:06,040 --> 00:32:07,960 Speaker 2: It's going to be a lot of very smart people. 652 00:32:08,320 --> 00:32:10,720 Speaker 2: But I really, like I said earlier, I missed running 653 00:32:10,720 --> 00:32:12,280 Speaker 2: at like one hundred and sixty miles an hour. 654 00:32:12,400 --> 00:32:13,800 Speaker 3: I wanted a challenge. 655 00:32:13,920 --> 00:32:18,040 Speaker 2: I was, you know, forty, and I figured I have 656 00:32:18,120 --> 00:32:22,200 Speaker 2: a couple more moves in me and I wanted something different, 657 00:32:22,240 --> 00:32:23,840 Speaker 2: and I thought, let's see if I can do this. 658 00:32:24,000 --> 00:32:26,760 Speaker 2: And most importantly, like I said before, I loved the team. 659 00:32:26,880 --> 00:32:30,600 Speaker 2: Some of my favorite investors right now are people that 660 00:32:30,680 --> 00:32:33,239 Speaker 2: came out of Goldman Sachs, mostly hedge funds, because I 661 00:32:33,320 --> 00:32:36,240 Speaker 2: love hedge funds. But to me, it was like joining 662 00:32:36,560 --> 00:32:39,720 Speaker 2: the Yankees, like I had followed their versions of Derek 663 00:32:39,800 --> 00:32:41,520 Speaker 2: Jeter and I was like, Wow, I could I could 664 00:32:41,520 --> 00:32:43,000 Speaker 2: go work for these people that I idolized. 665 00:32:43,000 --> 00:32:43,760 Speaker 3: This would be amazing. 666 00:32:43,880 --> 00:32:45,840 Speaker 1: And I'm assuming you know a lot of these people 667 00:32:45,880 --> 00:32:49,840 Speaker 1: through both Maryland and Hawaii, CIO, you're interacting with them 668 00:32:49,880 --> 00:32:53,920 Speaker 1: on a regular basis. What made you think, Hey, I 669 00:32:53,960 --> 00:32:56,720 Speaker 1: can I can keep up with these guys. I want 670 00:32:56,720 --> 00:32:58,680 Speaker 1: to play on this team. 671 00:32:59,320 --> 00:33:01,320 Speaker 2: I think was the one that said you can keep 672 00:33:01,400 --> 00:33:02,920 Speaker 2: up with us, you can play on this team. And 673 00:33:02,960 --> 00:33:05,000 Speaker 2: the amount that they letting me come here and do 674 00:33:05,040 --> 00:33:08,040 Speaker 2: this interview, the amount that Goldman believes in me every day. 675 00:33:08,560 --> 00:33:10,320 Speaker 2: I had to tell you, it's it's like the best 676 00:33:10,320 --> 00:33:11,720 Speaker 2: feeling in the world to wake up and put on 677 00:33:11,720 --> 00:33:13,520 Speaker 2: the Goldman jersey, like they believe in me. 678 00:33:13,600 --> 00:33:16,480 Speaker 3: And it's crazy. I think they believe more than my family. 679 00:33:17,480 --> 00:33:19,000 Speaker 1: I'm going to tell you right now, I don't think 680 00:33:19,000 --> 00:33:22,280 Speaker 1: it's crazy at all, given your history and your your 681 00:33:22,320 --> 00:33:26,760 Speaker 1: track record. But at what point in the process was 682 00:33:26,800 --> 00:33:30,320 Speaker 1: it who was interviewing, who were they recruiting you, or 683 00:33:30,400 --> 00:33:33,680 Speaker 1: had you kind of quietly reached out How did this 684 00:33:34,160 --> 00:33:36,200 Speaker 1: specific position come about? 685 00:33:36,880 --> 00:33:39,400 Speaker 2: You know, I don't even know if the position it self, 686 00:33:39,440 --> 00:33:42,440 Speaker 2: Huven came about till very late in the summer until 687 00:33:42,680 --> 00:33:44,640 Speaker 2: you know, I started in September, and I don't even 688 00:33:44,680 --> 00:33:47,960 Speaker 2: know that it was fully ironed out like much before then. 689 00:33:48,400 --> 00:33:53,120 Speaker 2: I think for me though, the opportunity to join the group. 690 00:33:52,880 --> 00:33:53,920 Speaker 3: That I was joining. 691 00:33:54,040 --> 00:33:57,520 Speaker 2: I have so much respect for this group and to 692 00:33:57,560 --> 00:33:59,680 Speaker 2: be part of what they wanted to do, which was, 693 00:33:59,800 --> 00:34:03,520 Speaker 2: you know, reignite their asset management business. I really like, 694 00:34:04,440 --> 00:34:06,280 Speaker 2: I really like to join places that have something they 695 00:34:06,360 --> 00:34:06,880 Speaker 2: need to get. 696 00:34:06,720 --> 00:34:11,000 Speaker 1: Done and that you can help contribute to making that happen. 697 00:34:11,360 --> 00:34:13,359 Speaker 2: Yes, And I thought, you know, why don't I try 698 00:34:13,360 --> 00:34:14,960 Speaker 2: something different? And if you look at my career and 699 00:34:14,960 --> 00:34:16,640 Speaker 2: all the next steps, they're all a little different and 700 00:34:16,680 --> 00:34:20,040 Speaker 2: in some cases very different. And I think actually all 701 00:34:20,080 --> 00:34:22,840 Speaker 2: those different careers I had led me to be a 702 00:34:22,840 --> 00:34:24,880 Speaker 2: really good CIO. So I thought, if I add this in, 703 00:34:25,000 --> 00:34:26,040 Speaker 2: what does that make me next? 704 00:34:26,080 --> 00:34:26,520 Speaker 3: I don't know. 705 00:34:27,760 --> 00:34:29,719 Speaker 1: So let's talk a little bit about what you do 706 00:34:29,760 --> 00:34:34,200 Speaker 1: with the team you work with at Goldman Sachs. Are 707 00:34:34,239 --> 00:34:38,000 Speaker 1: the clients primarily retail? Are they institutional? Is it a mix? 708 00:34:38,719 --> 00:34:40,799 Speaker 1: What does that group focus on it is? 709 00:34:41,560 --> 00:34:44,279 Speaker 2: Well, the whole group of the client Solutions group is 710 00:34:44,320 --> 00:34:46,600 Speaker 2: a mix of all different kinds of clients, right, But 711 00:34:46,640 --> 00:34:49,520 Speaker 2: I mostly step in with the institutional clients. I don't 712 00:34:49,520 --> 00:34:52,600 Speaker 2: own the client relationships, but I do help advise from 713 00:34:52,640 --> 00:34:56,560 Speaker 2: the perspective as a former institutional allocator and occasionally have 714 00:34:56,560 --> 00:34:59,480 Speaker 2: comments on the retail side that may be tangential. But 715 00:34:59,520 --> 00:35:00,759 Speaker 2: it's mostly institutions. 716 00:35:01,000 --> 00:35:04,120 Speaker 1: So this sounds like this is a very unconstrained position. 717 00:35:04,560 --> 00:35:08,240 Speaker 1: You can help clients work on setting goals, put together 718 00:35:08,280 --> 00:35:11,760 Speaker 1: an investment policy statement, like you've done all the stuff 719 00:35:11,800 --> 00:35:14,960 Speaker 1: from the from the client side, and now you're saying 720 00:35:15,320 --> 00:35:16,799 Speaker 1: what can we what can we do for you? 721 00:35:17,080 --> 00:35:19,520 Speaker 2: They can ask confidential questions. They can say, do you 722 00:35:19,560 --> 00:35:22,239 Speaker 2: think we should sell part of this portfolio? Do you 723 00:35:22,360 --> 00:35:24,799 Speaker 2: like this private equity fund, do you like that? Do 724 00:35:24,800 --> 00:35:28,040 Speaker 2: you like this equity in this country? Do you like 725 00:35:28,040 --> 00:35:30,600 Speaker 2: emerging markets right now? Do you like local bonds? They 726 00:35:30,640 --> 00:35:34,880 Speaker 2: can ask me anything, And because I'm not running my portfolio, 727 00:35:34,880 --> 00:35:37,200 Speaker 2: I can have a more honest position on what I 728 00:35:37,239 --> 00:35:39,040 Speaker 2: would do if I were them in that environment. 729 00:35:39,680 --> 00:35:43,640 Speaker 1: Huh. So this is much broader than the typical relationship 730 00:35:43,680 --> 00:35:47,480 Speaker 1: with a client, So that sounds quite fascinating. You mentioned 731 00:35:47,480 --> 00:35:50,000 Speaker 1: you really like hedge funds. Let's talk a little bit 732 00:35:50,000 --> 00:35:54,520 Speaker 1: about alternative investments within a portfolio. What do you think 733 00:35:54,560 --> 00:35:58,840 Speaker 1: of those various I'm gonna use a dirty word, buckets 734 00:35:58,880 --> 00:36:00,560 Speaker 1: of different types of investments. 735 00:36:02,000 --> 00:36:04,520 Speaker 2: So I want to qualify that I don't know that 736 00:36:04,560 --> 00:36:07,439 Speaker 2: everyone should be invested in alternative investments, and I don't 737 00:36:07,480 --> 00:36:09,880 Speaker 2: mean you and me, I mean institutions as well. But 738 00:36:10,040 --> 00:36:12,160 Speaker 2: I have to say I think their alternatives are the 739 00:36:12,160 --> 00:36:14,759 Speaker 2: most fascinating part of the investment landscape to me, and 740 00:36:14,760 --> 00:36:15,560 Speaker 2: it's why I love them. 741 00:36:15,800 --> 00:36:18,080 Speaker 1: So tell us a little bit. Why why are alternatives 742 00:36:18,120 --> 00:36:22,000 Speaker 1: so fascinating? Here's the pushback? Let's start with this. The 743 00:36:22,040 --> 00:36:25,719 Speaker 1: pushback is, alternatives are great. If you're in the top 744 00:36:25,760 --> 00:36:29,160 Speaker 1: death style of hetche funds, venture capital funds, private equity, 745 00:36:29,280 --> 00:36:32,680 Speaker 1: that stuff is awesome. But there's so much competition, so 746 00:36:32,840 --> 00:36:36,840 Speaker 1: much delution of talent, so many people chasing so few deals, 747 00:36:37,280 --> 00:36:40,920 Speaker 1: that unless you're really in the best funds, it's a 748 00:36:41,040 --> 00:36:44,440 Speaker 1: challenge to generate alpha. How do you respond to that 749 00:36:44,560 --> 00:36:45,440 Speaker 1: sort of criticism? 750 00:36:45,560 --> 00:36:47,640 Speaker 2: Well, I think that's true in the public equity markets 751 00:36:47,640 --> 00:36:49,080 Speaker 2: as well, in the mid large. 752 00:36:48,800 --> 00:36:53,160 Speaker 1: Gap, right, it's certainly true in individual stocks. Rites what 753 00:36:53,360 --> 00:36:56,439 Speaker 1: was it a best in Binders research? Two point three 754 00:36:56,520 --> 00:37:00,279 Speaker 1: percent of equities or responsible for all the returns. It's 755 00:37:00,280 --> 00:37:03,160 Speaker 1: not even top death style. That's a teeny tiny percentage. 756 00:37:03,640 --> 00:37:06,480 Speaker 1: So you're saying that, hey, if you can be in 757 00:37:06,520 --> 00:37:09,040 Speaker 1: a better fund, you want to be in a better fund. 758 00:37:09,120 --> 00:37:11,880 Speaker 2: I think that's true across everything. You always want to 759 00:37:11,880 --> 00:37:14,760 Speaker 2: be in the best possible fund. Picking funds is very challenging. 760 00:37:14,840 --> 00:37:18,160 Speaker 2: I think it is most challenging in the private market space. 761 00:37:18,200 --> 00:37:22,440 Speaker 2: There's an information gap which makes it pretty challenging. But 762 00:37:22,560 --> 00:37:25,640 Speaker 2: I think what I love most about it is so 763 00:37:25,680 --> 00:37:28,239 Speaker 2: I think I've always loved credit, and part of that 764 00:37:28,320 --> 00:37:29,280 Speaker 2: is that I love contracts. 765 00:37:29,320 --> 00:37:29,880 Speaker 3: I should have been a. 766 00:37:29,920 --> 00:37:33,439 Speaker 2: Lawyer, and for me, private equity, private credit, and some 767 00:37:33,920 --> 00:37:38,680 Speaker 2: other liquid strategies real estate included, they have a complexity 768 00:37:38,680 --> 00:37:40,400 Speaker 2: component to it and a lot of that is contract 769 00:37:40,480 --> 00:37:43,160 Speaker 2: related and you have to get very Like my favorite 770 00:37:43,160 --> 00:37:43,480 Speaker 2: class in. 771 00:37:43,440 --> 00:37:45,759 Speaker 3: Business school is taxes. I should tell you I like 772 00:37:45,840 --> 00:37:49,360 Speaker 3: loopholes and I like figuring out unique. 773 00:37:49,120 --> 00:37:51,279 Speaker 1: Ways to structure its supposals right. 774 00:37:51,800 --> 00:37:54,360 Speaker 2: But for private equity, private credit, private real estate, for me, 775 00:37:54,520 --> 00:37:57,640 Speaker 2: those make sense. Those are complex deals and there's ways 776 00:37:57,680 --> 00:37:59,480 Speaker 2: to derive value out of them, and if you can 777 00:37:59,520 --> 00:38:01,960 Speaker 2: get access to those, I think it's brilliant. If you 778 00:38:02,000 --> 00:38:04,120 Speaker 2: can't get access to those. The other way I think 779 00:38:04,160 --> 00:38:07,520 Speaker 2: it's interesting to play in those markets is to play 780 00:38:07,560 --> 00:38:10,640 Speaker 2: the discrepancy and value between public equity and private equity, 781 00:38:10,920 --> 00:38:14,879 Speaker 2: public real estate and private real estate, public infrastructure private infrastructure. 782 00:38:15,600 --> 00:38:17,680 Speaker 2: So for those reasons, I just think they're the most 783 00:38:17,680 --> 00:38:20,080 Speaker 2: interesting place to look. And in terms of hedge funds, 784 00:38:20,080 --> 00:38:23,319 Speaker 2: specifically where I started my career, they invest in every 785 00:38:23,320 --> 00:38:25,640 Speaker 2: asset class, So if you want to learn about commodities, 786 00:38:25,640 --> 00:38:29,719 Speaker 2: fixed income, rates, equities, bonds, they're all there, right, And 787 00:38:29,760 --> 00:38:31,640 Speaker 2: so I think it's a really great proving ground, and 788 00:38:31,680 --> 00:38:35,680 Speaker 2: it also teaches you to understand relative value in which 789 00:38:35,760 --> 00:38:39,399 Speaker 2: trades are better relatively speaking, not absolutely speaking. In an 790 00:38:39,480 --> 00:38:43,440 Speaker 2: environment like today and probably the next ten years, relative value. 791 00:38:43,239 --> 00:38:43,960 Speaker 3: Is going to be critical. 792 00:38:44,160 --> 00:38:48,320 Speaker 1: Huh. That's really interesting. Let's stay focused on the complications 793 00:38:48,360 --> 00:38:51,520 Speaker 1: of the private side, because you're touching on something that's 794 00:38:51,560 --> 00:38:56,319 Speaker 1: really fascinating and a little bit contrarian to the consensus view, 795 00:38:56,800 --> 00:39:01,640 Speaker 1: which is complications tend to be expanded and very often 796 00:39:01,719 --> 00:39:05,320 Speaker 1: simple is better. What you're saying on the private side 797 00:39:05,960 --> 00:39:08,520 Speaker 1: is if you have an ability and correct me if 798 00:39:08,560 --> 00:39:12,640 Speaker 1: I'm getting this wrong, if you have an ability to 799 00:39:12,719 --> 00:39:17,240 Speaker 1: manage through that complexity in a way that doesn't disadvantage 800 00:39:17,280 --> 00:39:22,560 Speaker 1: you as an investor. There's potential upside from complexity because 801 00:39:23,440 --> 00:39:29,640 Speaker 1: most investors aren't finding that thread that really leads you 802 00:39:29,719 --> 00:39:35,479 Speaker 1: to Hitchcock used to call it the McGuinty, but that's 803 00:39:35,480 --> 00:39:39,000 Speaker 1: whatever everybody is chasing, that's driving the action. You're looking 804 00:39:39,000 --> 00:39:42,600 Speaker 1: through complexity to define where is the piece of alpha 805 00:39:42,680 --> 00:39:43,720 Speaker 1: that everybody is missing. 806 00:39:44,239 --> 00:39:45,120 Speaker 3: If that is. 807 00:39:45,040 --> 00:39:47,000 Speaker 2: Your edge, and that is the one thing I want 808 00:39:47,040 --> 00:39:49,120 Speaker 2: to be very clear on. You should not be investing 809 00:39:49,120 --> 00:39:51,520 Speaker 2: in complex issues that you do not understand. So if 810 00:39:51,560 --> 00:39:54,400 Speaker 2: you do not understand technology, do not go do a 811 00:39:54,440 --> 00:39:55,560 Speaker 2: technology co investment. 812 00:39:55,640 --> 00:39:58,759 Speaker 1: Right, we shouldn't all be piling my money into AI startups. 813 00:39:58,760 --> 00:40:01,520 Speaker 1: You don't think that's that's a savvy thing to do today. 814 00:40:01,600 --> 00:40:04,440 Speaker 2: I have Plowing money into anything is usually a good idea. 815 00:40:04,520 --> 00:40:07,080 Speaker 2: But I mean to use an example. So I did 816 00:40:07,200 --> 00:40:09,880 Speaker 2: Killimanjaro a year ago, and I didn't get altitude sickness. 817 00:40:09,960 --> 00:40:13,600 Speaker 2: And so to do hiking at high elevations when something 818 00:40:13,640 --> 00:40:15,600 Speaker 2: isn't a challenge for you, it is a challenge for 819 00:40:15,640 --> 00:40:18,120 Speaker 2: other people. That's not a terrible idea and experience that 820 00:40:18,160 --> 00:40:20,480 Speaker 2: you get that's unique, right, And so I think that 821 00:40:20,520 --> 00:40:22,879 Speaker 2: if there are managers you can find, or if you 822 00:40:22,880 --> 00:40:25,120 Speaker 2: yourself are good at certain parts of these markets, then 823 00:40:25,120 --> 00:40:27,239 Speaker 2: I do think you in any investment, if you have 824 00:40:27,280 --> 00:40:30,520 Speaker 2: an edge, you should lean into that edge, right, And 825 00:40:30,600 --> 00:40:34,080 Speaker 2: I think that is why, or I believe that's why alternatives. 826 00:40:34,120 --> 00:40:35,919 Speaker 2: There are people who have edges, there are people who don't, 827 00:40:36,000 --> 00:40:38,399 Speaker 2: and they raise money, and that's the world, right, right. 828 00:40:39,000 --> 00:40:41,480 Speaker 2: But if you can find when you find a good 829 00:40:41,520 --> 00:40:44,600 Speaker 2: manager or you find a good investment, I mean, I 830 00:40:44,640 --> 00:40:46,120 Speaker 2: think that's one of the best feelings in life. And 831 00:40:46,120 --> 00:40:49,239 Speaker 2: when it comes to fruition is incredible and unique and 832 00:40:49,280 --> 00:40:51,080 Speaker 2: you learn so much, and you learn so much about 833 00:40:51,080 --> 00:40:52,239 Speaker 2: the industry you're investing in. 834 00:40:52,640 --> 00:40:55,520 Speaker 1: Huh, know your skill set, know your blind spot, know 835 00:40:55,600 --> 00:40:56,080 Speaker 1: your edge. 836 00:40:56,239 --> 00:40:56,359 Speaker 3: Right. 837 00:40:56,680 --> 00:41:00,279 Speaker 1: That sounds like very savvy advice. Let's talk little bit 838 00:41:00,320 --> 00:41:04,480 Speaker 1: about institutional investing. What's happening these years. We had rates 839 00:41:04,719 --> 00:41:08,919 Speaker 1: and yields on fixed income shoot up in twenty twenty 840 00:41:08,960 --> 00:41:13,360 Speaker 1: two and twenty twenty three, and pension funds, especially in Europe, 841 00:41:13,840 --> 00:41:17,279 Speaker 1: seemed to stumble around. That tell us a little bit 842 00:41:17,280 --> 00:41:20,799 Speaker 1: what's been going on with institutions as you see it 843 00:41:20,840 --> 00:41:25,120 Speaker 1: from the thirty thousand foot view. Why was last year 844 00:41:25,280 --> 00:41:29,520 Speaker 1: into this year so challenging for many large institutions. 845 00:41:30,040 --> 00:41:32,040 Speaker 2: Well, I think in Europe it was some of what 846 00:41:32,080 --> 00:41:36,000 Speaker 2: we mentioned earlier with the liability driven investing. They had, 847 00:41:36,320 --> 00:41:40,680 Speaker 2: you know, rates go up precipitously as well for various 848 00:41:40,760 --> 00:41:44,520 Speaker 2: reasons twice in a very short amount of time. And 849 00:41:45,360 --> 00:41:49,120 Speaker 2: you know, because they had leveraged in some casions, bomb 850 00:41:49,120 --> 00:41:50,880 Speaker 2: portfolio has been rates to go up as you know, 851 00:41:50,920 --> 00:41:53,640 Speaker 2: prices go down. They had margin calls because they were 852 00:41:53,680 --> 00:41:55,320 Speaker 2: trading on margin in a world. 853 00:41:55,239 --> 00:41:58,880 Speaker 1: Were their duration issues? Also because I know some areas 854 00:41:59,160 --> 00:42:01,359 Speaker 1: seem to be in did very long and they're much 855 00:42:01,400 --> 00:42:05,520 Speaker 1: more sensitive to rate moves than others. Is that part 856 00:42:05,560 --> 00:42:08,840 Speaker 1: of the issue where they mandated to have longer dated bonds. 857 00:42:08,880 --> 00:42:10,120 Speaker 1: What's to happen in Europe? 858 00:42:10,200 --> 00:42:12,440 Speaker 2: It's part of the liability matching, right, So if you 859 00:42:12,560 --> 00:42:15,800 Speaker 2: have an infinitely lived asset or a very long lived asset, 860 00:42:15,840 --> 00:42:18,680 Speaker 2: you're going to want to match your investments to that. 861 00:42:18,840 --> 00:42:21,920 Speaker 2: So that's why they had some of these longer term bonds. 862 00:42:22,320 --> 00:42:24,960 Speaker 2: US pension funds also had a fair degree of long 863 00:42:25,000 --> 00:42:29,239 Speaker 2: bond exposure and they hurt you know, I think in 864 00:42:29,920 --> 00:42:32,680 Speaker 2: the two thousand and eight crisis, a lot of pension 865 00:42:32,719 --> 00:42:36,759 Speaker 2: fund boards struggled with the fact that their equity portfolio 866 00:42:36,800 --> 00:42:39,560 Speaker 2: and their bond portfolio and credit portfolio all stumbled around 867 00:42:39,600 --> 00:42:42,560 Speaker 2: the same time. And it's why you saw in ten, 868 00:42:42,640 --> 00:42:46,000 Speaker 2: twenty eleven, twenty twelve a lot of the investment policy 869 00:42:46,040 --> 00:42:48,839 Speaker 2: statements of pension funds changed from saying equity and fixed 870 00:42:48,880 --> 00:42:53,000 Speaker 2: income to saying growth risk and diversifying risk. And I 871 00:42:53,040 --> 00:42:54,920 Speaker 2: don't know that anyone really noticed that and this they 872 00:42:54,920 --> 00:42:57,040 Speaker 2: were working in it, but that is what changed in 873 00:42:57,080 --> 00:43:00,000 Speaker 2: a large part, because if you have your growth bucket 874 00:43:00,200 --> 00:43:03,120 Speaker 2: drawn out, so credit and equity, it feels less bad 875 00:43:04,000 --> 00:43:05,880 Speaker 2: than if you thought something that was diversifying all of 876 00:43:05,880 --> 00:43:09,439 Speaker 2: a sudden wasn't diversifying, right. So I think last year 877 00:43:10,560 --> 00:43:13,040 Speaker 2: potentially we still hadn't quite learned the lesson as we 878 00:43:13,040 --> 00:43:15,800 Speaker 2: were discussing earlier, that these things can all kind of 879 00:43:15,800 --> 00:43:18,680 Speaker 2: suffer at the same time. And that's true diversifying strategies too. 880 00:43:18,719 --> 00:43:21,400 Speaker 2: That's two of alternatives. It's true of CTAs. Unless you 881 00:43:21,400 --> 00:43:23,960 Speaker 2: have a short term trend follower, usually in the instant 882 00:43:24,000 --> 00:43:25,680 Speaker 2: the market drops, you're going to get all those things 883 00:43:25,680 --> 00:43:28,640 Speaker 2: to kind of drop too. Beauty about alternatives they're not 884 00:43:28,680 --> 00:43:31,040 Speaker 2: going to mark, so you might just not notice it 885 00:43:31,080 --> 00:43:33,719 Speaker 2: for quite a bit of time, so you have some 886 00:43:33,760 --> 00:43:35,440 Speaker 2: cushion there, and by that time they may have rebounded. 887 00:43:35,520 --> 00:43:35,680 Speaker 1: Right. 888 00:43:36,680 --> 00:43:39,879 Speaker 2: But the biggest issue that happened with both Europe and 889 00:43:39,960 --> 00:43:42,759 Speaker 2: the US, and you can look up a broad elsewhere, 890 00:43:43,280 --> 00:43:47,400 Speaker 2: was that when these things drop, when your equity portfolio 891 00:43:47,520 --> 00:43:51,279 Speaker 2: which is supposed to be some return generating mainly, and 892 00:43:51,320 --> 00:43:53,200 Speaker 2: you're fixing come portfolio which is supposed to be your 893 00:43:53,200 --> 00:43:56,520 Speaker 2: liquidity provider, but then you don't have a job necessarily 894 00:43:56,520 --> 00:43:59,320 Speaker 2: in your private markets bucket, you're in a really tricky 895 00:43:59,440 --> 00:44:04,800 Speaker 2: position for funding new investments, for funding you know, retirement benefits, 896 00:44:04,840 --> 00:44:07,640 Speaker 2: healthcare benefits, the like. And so they were all kind 897 00:44:07,680 --> 00:44:11,680 Speaker 2: of in this illiquidity spiral for a little bit of time, 898 00:44:11,880 --> 00:44:14,200 Speaker 2: and so they actually had to alter a lot of funds, 899 00:44:14,239 --> 00:44:17,399 Speaker 2: altered their investment policy statements, which are never. 900 00:44:17,280 --> 00:44:17,719 Speaker 3: Supposed to do. 901 00:44:17,880 --> 00:44:19,719 Speaker 2: These are supposed to be setting stone reviewed every couple 902 00:44:19,719 --> 00:44:22,040 Speaker 2: of years in order to allow them to have wider 903 00:44:22,160 --> 00:44:25,520 Speaker 2: bands in the private markets until things sort of reset. 904 00:44:25,560 --> 00:44:28,160 Speaker 1: Now, to be fair, you're not really getting marked in 905 00:44:28,200 --> 00:44:31,160 Speaker 1: private markets what you are in stocks and bonds every tick, 906 00:44:31,760 --> 00:44:34,719 Speaker 1: so you could kind of ignore that for a while. 907 00:44:35,320 --> 00:44:37,080 Speaker 2: And they actually might have liked to have been marked 908 00:44:37,080 --> 00:44:38,080 Speaker 2: down right because it. 909 00:44:38,040 --> 00:44:41,960 Speaker 4: Would have reseent it would hurt yours as long as reset, 910 00:44:42,160 --> 00:44:45,600 Speaker 4: but was a loser anyway, you might as well clear 911 00:44:45,640 --> 00:44:48,239 Speaker 4: the decks, get everything off, and start fresh the following year. 912 00:44:48,520 --> 00:44:50,360 Speaker 1: You can't really do that with private equity. 913 00:44:50,440 --> 00:44:52,480 Speaker 3: But it also makes it challenging if you're an investor 914 00:44:52,520 --> 00:44:52,759 Speaker 3: and you. 915 00:44:52,719 --> 00:44:55,319 Speaker 2: Decide, well, what do I do about the iniquity I'd 916 00:44:55,360 --> 00:44:57,560 Speaker 2: like to sell part of my private market book? Well, 917 00:44:57,560 --> 00:44:59,759 Speaker 2: then where are you pricing it? Because if you go 918 00:44:59,840 --> 00:45:02,560 Speaker 2: with these inflated asset values and you try to sell them, 919 00:45:02,600 --> 00:45:04,440 Speaker 2: and they know you're a force seller and they know 920 00:45:04,480 --> 00:45:06,840 Speaker 2: that the value is likely lower, it actually made it 921 00:45:06,840 --> 00:45:09,239 Speaker 2: a really tricky environment to kind of close those transactions 922 00:45:09,280 --> 00:45:09,600 Speaker 2: as well. 923 00:45:09,640 --> 00:45:12,160 Speaker 1: No one wants to be a distressed seller now, boy. 924 00:45:12,920 --> 00:45:14,600 Speaker 1: So let's stick with Europe a little bit, and I'm 925 00:45:14,600 --> 00:45:17,719 Speaker 1: going to ask you to put your econometricians hat on 926 00:45:17,880 --> 00:45:22,680 Speaker 1: for a second. Us are CPI peaked around nine percent 927 00:45:22,760 --> 00:45:25,520 Speaker 1: a year and a half ago or so, and the 928 00:45:25,600 --> 00:45:28,640 Speaker 1: last CPI print was what three point two percent three 929 00:45:28,680 --> 00:45:31,839 Speaker 1: point three percent year of a year, it seems, and 930 00:45:31,880 --> 00:45:35,520 Speaker 1: that's with this massive fiscal stimulus, the pig is still 931 00:45:35,520 --> 00:45:38,359 Speaker 1: working his way through the python. Europe seems to be 932 00:45:38,560 --> 00:45:44,600 Speaker 1: having a harder time wrestling inflation into submission. Why do 933 00:45:44,680 --> 00:45:45,400 Speaker 1: we think that is? 934 00:45:46,440 --> 00:45:47,239 Speaker 3: I think that well. 935 00:45:47,280 --> 00:45:50,839 Speaker 2: I believe that they our US economics team would say 936 00:45:50,840 --> 00:45:53,040 Speaker 2: that the wage pressures in Europe are part of the 937 00:45:53,080 --> 00:45:55,440 Speaker 2: reason they still remain as much. 938 00:45:55,360 --> 00:45:57,360 Speaker 1: Greater than here in the US, where there seems to 939 00:45:57,360 --> 00:46:01,320 Speaker 1: be such a shortage in almost every sector of people 940 00:46:01,320 --> 00:46:03,160 Speaker 1: want to come in and work for a living. 941 00:46:03,280 --> 00:46:05,480 Speaker 2: We're seeing improvement and I think we're about four or 942 00:46:05,480 --> 00:46:07,320 Speaker 2: five percent, It could be off on the wage increase 943 00:46:07,400 --> 00:46:12,520 Speaker 2: number somewhere around there. So we've got stickier inflation still 944 00:46:12,560 --> 00:46:16,080 Speaker 2: happening in Europe, and in the US we were starting 945 00:46:16,080 --> 00:46:17,919 Speaker 2: to see signs of improvement. Who knows what could happen 946 00:46:17,960 --> 00:46:18,480 Speaker 2: between now on the. 947 00:46:18,480 --> 00:46:18,920 Speaker 3: End of the year. 948 00:46:18,920 --> 00:46:22,400 Speaker 2: You can't Some of it you can't predict. But we're 949 00:46:22,400 --> 00:46:26,200 Speaker 2: seeing improvement here and you've got emerging markets. We're seeing 950 00:46:26,239 --> 00:46:28,400 Speaker 2: more improvement on the inflation front than you're seeing in 951 00:46:28,760 --> 00:46:29,600 Speaker 2: the US. 952 00:46:29,880 --> 00:46:33,160 Speaker 1: Huh. Just kind of interesting that that's what's taking place there. 953 00:46:33,239 --> 00:46:36,640 Speaker 1: So let's stay with the concept of we had inflation. 954 00:46:36,920 --> 00:46:40,200 Speaker 1: We now have higher FED funds rates, and we have 955 00:46:40,880 --> 00:46:45,240 Speaker 1: what a number of people have been calling very attractive yields, 956 00:46:45,280 --> 00:46:49,480 Speaker 1: certainly much higher than they've been in decades. One of 957 00:46:49,520 --> 00:46:52,000 Speaker 1: the ag funds of I want to say about seven 958 00:46:52,080 --> 00:46:56,439 Speaker 1: years duration is five percent for investment grade. We haven't 959 00:46:56,440 --> 00:47:00,960 Speaker 1: seen that in you know, ten fifteen years. What how 960 00:47:00,960 --> 00:47:04,000 Speaker 1: do you work around those sort of numbers? What does 961 00:47:04,000 --> 00:47:07,600 Speaker 1: that do to the sort of advice you give to clients. 962 00:47:07,840 --> 00:47:10,440 Speaker 2: So if we just take the US public pension market 963 00:47:10,480 --> 00:47:12,759 Speaker 2: and kind of separate it from the corporates and other 964 00:47:12,880 --> 00:47:15,880 Speaker 2: institutional investors for a moment, five percent is still below 965 00:47:16,000 --> 00:47:19,120 Speaker 2: most target returns. Most target returns are still around on average, 966 00:47:19,160 --> 00:47:21,839 Speaker 2: like let's call it seven percent. It might be six 967 00:47:21,920 --> 00:47:25,000 Speaker 2: and three quarters, but it's not five. So in order 968 00:47:25,160 --> 00:47:28,240 Speaker 2: to take advantage of some of those, so like agency 969 00:47:28,239 --> 00:47:31,279 Speaker 2: mortgages may be a good trade right now, right, but 970 00:47:31,440 --> 00:47:33,759 Speaker 2: you probably want to even that's what the thirties at 971 00:47:33,800 --> 00:47:36,319 Speaker 2: seven plus rate, So you even want to think about 972 00:47:36,320 --> 00:47:38,560 Speaker 2: that more in like a credit long short context in 973 00:47:38,560 --> 00:47:42,560 Speaker 2: and outright by But in terms of a higher rate environment, 974 00:47:42,600 --> 00:47:45,880 Speaker 2: I still think look, Goman would probably say they're aggressively 975 00:47:45,960 --> 00:47:50,839 Speaker 2: neutral on on ponds. I love that aggssively right the 976 00:47:50,840 --> 00:47:53,520 Speaker 2: next three to three to twelve months, because there is 977 00:47:53,560 --> 00:47:56,000 Speaker 2: still some duration risk. Now the numbers that have been 978 00:47:56,040 --> 00:47:59,000 Speaker 2: recently coming out that are showing more likely to you know, 979 00:47:59,520 --> 00:48:02,120 Speaker 2: the economy slowing, we should have avoid a recession. And 980 00:48:02,160 --> 00:48:04,799 Speaker 2: I will say Goldman's opinion on this is that there's 981 00:48:04,800 --> 00:48:06,600 Speaker 2: a twenty percent out of a recession in the next 982 00:48:06,640 --> 00:48:09,040 Speaker 2: twelve months. That is still meaningfully higher than the twelve 983 00:48:09,040 --> 00:48:12,080 Speaker 2: percent in any given year, right, but it's it's not 984 00:48:12,080 --> 00:48:15,640 Speaker 2: one hundred percent. It's also not zero. But there's still 985 00:48:16,000 --> 00:48:19,000 Speaker 2: risk that rates could rise, right. There still could be 986 00:48:19,000 --> 00:48:21,439 Speaker 2: something that happens we get another rate increase. Our view 987 00:48:21,480 --> 00:48:23,560 Speaker 2: is that there's not going to be another hike this year, 988 00:48:23,600 --> 00:48:25,200 Speaker 2: and that in the back half of next year we'll 989 00:48:25,200 --> 00:48:27,280 Speaker 2: start seeing FED funds comes. 990 00:48:27,120 --> 00:48:31,600 Speaker 1: Down back half of twenty twenty four. Yeah, So, hypothetically, 991 00:48:32,160 --> 00:48:37,120 Speaker 1: an investor has listened to you three years ago when 992 00:48:37,160 --> 00:48:41,240 Speaker 1: you were screaming about inflation is not transitory. It actually 993 00:48:41,280 --> 00:48:43,919 Speaker 1: turned out to be transitory. Transfory just took a whole 994 00:48:43,920 --> 00:48:47,640 Speaker 1: lot longer than everybody expected. Everything in life is transitory, 995 00:48:48,560 --> 00:48:53,439 Speaker 1: all right. So a couple of years ago you had said, Hey, 996 00:48:53,480 --> 00:48:55,759 Speaker 1: this inflation thing is for real. The Fed's going to 997 00:48:55,880 --> 00:49:01,440 Speaker 1: raise rates substantially, and given how sensitive dated bonds are 998 00:49:01,600 --> 00:49:06,120 Speaker 1: too moves up in FED funds, rate investors should be 999 00:49:06,120 --> 00:49:09,880 Speaker 1: thinking about shortening their duration. Clients who listened to that 1000 00:49:10,000 --> 00:49:13,879 Speaker 1: advice avoided at least some of the bloodshed last year. 1001 00:49:15,600 --> 00:49:18,520 Speaker 1: Now though that rates have gone up five hundred and 1002 00:49:18,600 --> 00:49:22,000 Speaker 1: something basis points and you can actually get five five 1003 00:49:22,000 --> 00:49:26,600 Speaker 1: and a half percent yield. At what point are clients 1004 00:49:26,680 --> 00:49:30,359 Speaker 1: going to want to think about taking advantage and extending 1005 00:49:30,480 --> 00:49:34,080 Speaker 1: duration you mentioned? Goldman says there's a twenty percent chance 1006 00:49:34,239 --> 00:49:39,080 Speaker 1: of recession in the coming twenty twenty four and we 1007 00:49:39,160 --> 00:49:42,040 Speaker 1: may see rate cuts in the back half of twenty 1008 00:49:42,080 --> 00:49:45,080 Speaker 1: twenty four. How do you respond to I have to 1009 00:49:45,080 --> 00:49:47,960 Speaker 1: think clients are asking about duration at this point. What's 1010 00:49:48,000 --> 00:49:50,600 Speaker 1: your response to people who shortened duration a few years ago? 1011 00:49:51,040 --> 00:49:53,480 Speaker 1: And we're very successful because. 1012 00:49:53,200 --> 00:49:56,080 Speaker 2: Of it, right, So I do get asked quite a bit, 1013 00:49:56,120 --> 00:49:58,560 Speaker 2: when can we start adding duration back to the portfolio. 1014 00:49:58,600 --> 00:50:00,640 Speaker 3: It's probably the third biggest. 1015 00:50:00,400 --> 00:50:03,200 Speaker 2: Question that I have been getting In twenty twenty three. 1016 00:50:03,920 --> 00:50:06,080 Speaker 2: A lot of clients weren't able to shorten their duration, 1017 00:50:06,200 --> 00:50:09,600 Speaker 2: some were, some can take advantage of two years, right, 1018 00:50:09,680 --> 00:50:11,640 Speaker 2: and you could get a pretty good return there. But 1019 00:50:11,680 --> 00:50:13,680 Speaker 2: some couldn't, not in their investment policy or they didn't 1020 00:50:13,680 --> 00:50:16,560 Speaker 2: want the reinvestment risk, right, So some are still holding 1021 00:50:16,560 --> 00:50:18,719 Speaker 2: onto those long bonds portfolio. But what I would say 1022 00:50:18,920 --> 00:50:22,000 Speaker 2: is I would look to see where you could add duration, 1023 00:50:22,080 --> 00:50:24,040 Speaker 2: but I would be cautious. There's still risks to the 1024 00:50:24,080 --> 00:50:26,239 Speaker 2: upside on rates and the other part of that. I 1025 00:50:26,239 --> 00:50:28,560 Speaker 2: would say that let's say inflation is coming down and 1026 00:50:28,600 --> 00:50:31,759 Speaker 2: it's moderating, it's coming down from a very high level, 1027 00:50:31,800 --> 00:50:34,000 Speaker 2: but it's not coming down to zero, right, so we 1028 00:50:34,000 --> 00:50:35,880 Speaker 2: could see a three percent level for a while. 1029 00:50:36,000 --> 00:50:38,640 Speaker 3: We could see and that you know, in the grand. 1030 00:50:38,400 --> 00:50:41,319 Speaker 2: Scheme of life, grand scheme of history, maybe that's not exorbitant, 1031 00:50:41,320 --> 00:50:43,360 Speaker 2: but it is a higher cost of capital. Right, So 1032 00:50:43,760 --> 00:50:47,040 Speaker 2: if you think about where term premiums might end up 1033 00:50:47,080 --> 00:50:49,480 Speaker 2: off of that number one hundred and fifty two hundred 1034 00:50:49,520 --> 00:50:51,960 Speaker 2: basis points, you're still looking at a pretty high cost 1035 00:50:52,040 --> 00:50:54,799 Speaker 2: of capital compared to the last ten years, right, So 1036 00:50:54,880 --> 00:50:58,640 Speaker 2: for firms and for refinancing risks. So if you can 1037 00:50:58,680 --> 00:51:01,800 Speaker 2: add a duration, then where you can and take your pockets. 1038 00:51:01,840 --> 00:51:03,360 Speaker 2: And yes, but I still think there's still risk to 1039 00:51:03,400 --> 00:51:06,080 Speaker 2: the upside there, and so again I would reiterate that 1040 00:51:06,400 --> 00:51:09,160 Speaker 2: Goldman's views right now are pretty neutral on equities and 1041 00:51:09,440 --> 00:51:10,680 Speaker 2: bonds the next three to twelve. 1042 00:51:10,480 --> 00:51:15,520 Speaker 1: Months, aggressively neutral. I like that. And you know you're 1043 00:51:15,560 --> 00:51:19,359 Speaker 1: pointing out that it's a very different regime today. In 1044 00:51:19,400 --> 00:51:23,160 Speaker 1: the twenty tens, not only did you have cheap capital, 1045 00:51:23,320 --> 00:51:28,239 Speaker 1: but real returns were so low given how low inflation was. 1046 00:51:28,320 --> 00:51:32,080 Speaker 1: So now capital costs more, inflation is higher. So how 1047 00:51:32,120 --> 00:51:36,160 Speaker 1: do we think about real returns when discussing fixed income? 1048 00:51:37,200 --> 00:51:37,359 Speaker 3: Right? 1049 00:51:37,480 --> 00:51:40,800 Speaker 2: Interestingly enough, there's only you know, a handful of valcators 1050 00:51:40,880 --> 00:51:44,399 Speaker 2: actually benchmark themselves to real returns, and I think, really, yeah, 1051 00:51:44,560 --> 00:51:48,000 Speaker 2: it's not as popular as one would think, particularly when 1052 00:51:48,040 --> 00:51:50,319 Speaker 2: they're having to worry about that on the back end 1053 00:51:50,360 --> 00:51:53,879 Speaker 2: and their payouts and their liability side. But I think 1054 00:51:53,880 --> 00:51:56,919 Speaker 2: it's going to becoming increasingly more important, and it might 1055 00:51:57,400 --> 00:51:58,799 Speaker 2: very well to your point, I believe this is where 1056 00:51:58,800 --> 00:52:00,319 Speaker 2: you get It might change what you're looking looking at 1057 00:52:00,320 --> 00:52:03,360 Speaker 2: and what you evaluate in terms of your outcomes. You 1058 00:52:03,440 --> 00:52:05,759 Speaker 2: also probably will see a change in benchmarking if you 1059 00:52:05,760 --> 00:52:08,799 Speaker 2: think about some of the real asset and infrastructure and 1060 00:52:08,840 --> 00:52:11,400 Speaker 2: real estate investments that were benchmarked a CPI plus a 1061 00:52:11,400 --> 00:52:15,239 Speaker 2: spread for example, or even absolute return that likely was 1062 00:52:15,360 --> 00:52:17,799 Speaker 2: challenged in the last couple of years, So you may 1063 00:52:17,840 --> 00:52:21,160 Speaker 2: see portfolios change as a result of a benchmarking. I 1064 00:52:21,200 --> 00:52:23,279 Speaker 2: do believe the next couple of years will probably start 1065 00:52:23,320 --> 00:52:26,959 Speaker 2: to get more questions on deflation what that means for portfolios, 1066 00:52:27,280 --> 00:52:29,480 Speaker 2: and that can be very tricky if you haven't figured 1067 00:52:29,520 --> 00:52:32,279 Speaker 2: out your liabilities, because that can hurt the liability side 1068 00:52:32,280 --> 00:52:37,040 Speaker 2: of your balance sheet. And if your liabilities are really struggling, 1069 00:52:37,120 --> 00:52:39,560 Speaker 2: then the ability of what you can invest in will 1070 00:52:39,560 --> 00:52:40,239 Speaker 2: be truncated. 1071 00:52:40,480 --> 00:52:44,000 Speaker 1: All right, So you said the duration question is the 1072 00:52:44,040 --> 00:52:50,160 Speaker 1: third most asked question you get from institutional investors. I'm 1073 00:52:50,239 --> 00:52:52,759 Speaker 1: curious what are questions one and two? 1074 00:52:53,280 --> 00:52:55,839 Speaker 2: So number one would be give me ideas on how 1075 00:52:55,840 --> 00:52:57,600 Speaker 2: to raise liquidity in my portfolio. 1076 00:52:58,120 --> 00:53:01,520 Speaker 1: And this is mostly from institutions. 1077 00:53:00,920 --> 00:53:02,200 Speaker 3: Mostly from institutional investment. 1078 00:53:02,280 --> 00:53:05,680 Speaker 1: So when someone says I want more liquiditly is this 1079 00:53:05,840 --> 00:53:08,600 Speaker 1: because they're kind of tied up with long dated bonds 1080 00:53:08,680 --> 00:53:11,480 Speaker 1: or is it more because they're tied up with ill 1081 00:53:11,480 --> 00:53:15,320 Speaker 1: liquid investments looking for the illiquidity premium. 1082 00:53:16,080 --> 00:53:18,640 Speaker 2: Typically it's because they're tied up in inliquid investments and 1083 00:53:18,680 --> 00:53:20,720 Speaker 2: they don't want to miss out on a vintage cycle, 1084 00:53:21,040 --> 00:53:22,520 Speaker 2: or they want to out they see good deals that 1085 00:53:22,560 --> 00:53:25,719 Speaker 2: they want to get done. Another option is that their 1086 00:53:26,520 --> 00:53:31,600 Speaker 2: pension is finite, and so they are not able in 1087 00:53:31,640 --> 00:53:33,640 Speaker 2: certain cases to make the same investments that they used 1088 00:53:33,680 --> 00:53:35,440 Speaker 2: to make. But they see interesting deals and they want 1089 00:53:35,440 --> 00:53:37,080 Speaker 2: to find a way to do them without hurting the 1090 00:53:37,800 --> 00:53:41,880 Speaker 2: liquidity of their structure. And those would be the two 1091 00:53:41,920 --> 00:53:45,560 Speaker 2: biggest cases, but usually it's funding other investments or trying 1092 00:53:45,600 --> 00:53:48,359 Speaker 2: to stay within their policy balance. The second most asked 1093 00:53:48,440 --> 00:53:52,359 Speaker 2: question I get is around either crisis position, crisis risk 1094 00:53:52,440 --> 00:53:57,080 Speaker 2: offt set positions or tail risk hedging or diversifying strategies. 1095 00:53:57,080 --> 00:53:59,359 Speaker 2: People are looking for ways investors, I should say, are 1096 00:53:59,360 --> 00:54:03,080 Speaker 2: looking for way to be protected should this happen again. 1097 00:54:04,680 --> 00:54:07,640 Speaker 2: But you know, one interesting statistics I like to mention 1098 00:54:07,840 --> 00:54:10,120 Speaker 2: is if you think of twenty two diversifiers that are 1099 00:54:10,160 --> 00:54:13,160 Speaker 2: typically involved in a sort of crisis portfolio or when 1100 00:54:13,160 --> 00:54:14,560 Speaker 2: you're in a tail hedge, twenty. 1101 00:54:14,400 --> 00:54:15,960 Speaker 3: Two take twenty two of the most common ones. 1102 00:54:16,360 --> 00:54:19,120 Speaker 2: There's a paper that Goldman has done on this, No 1103 00:54:19,280 --> 00:54:22,200 Speaker 2: two in these three periods, So there are no one 1104 00:54:22,280 --> 00:54:25,200 Speaker 2: in these three periods pre twenty twenty from twenty twenty 1105 00:54:25,239 --> 00:54:27,040 Speaker 2: through twenty to twenty twenty one, and then post twenty 1106 00:54:27,120 --> 00:54:31,080 Speaker 2: twenty two were positive. Huh, so you need more options 1107 00:54:31,080 --> 00:54:33,640 Speaker 2: than you think to kind of hedge the risk there, 1108 00:54:33,960 --> 00:54:36,400 Speaker 2: But more than I've heard probably in the last decade, 1109 00:54:36,880 --> 00:54:38,919 Speaker 2: investors are asking I would like to put a tail 1110 00:54:38,960 --> 00:54:39,279 Speaker 2: hedge on. 1111 00:54:39,520 --> 00:54:41,319 Speaker 3: How can I do that? What should I be looking at? 1112 00:54:41,520 --> 00:54:44,160 Speaker 1: Let's jump to our favorite questions that we ask all 1113 00:54:44,200 --> 00:54:47,480 Speaker 1: of our guests, starting with, Hey, what are you streaming 1114 00:54:47,520 --> 00:54:51,000 Speaker 1: these days? What kept you entertained during the pandemic. 1115 00:54:51,760 --> 00:54:52,759 Speaker 3: So I don't. 1116 00:54:52,760 --> 00:54:55,000 Speaker 2: Watch a ton of TV, I will say, I am 1117 00:54:55,040 --> 00:54:57,799 Speaker 2: a shark tank addict. I am a huge fan of 1118 00:54:57,880 --> 00:55:01,640 Speaker 2: Kevin O'Leary, I think the absolute greatest, But that is 1119 00:55:01,760 --> 00:55:04,080 Speaker 2: really the extent of my TV watching, other than, of 1120 00:55:04,120 --> 00:55:05,200 Speaker 2: course blow bird. 1121 00:55:06,480 --> 00:55:09,120 Speaker 1: So let me throw a Kevin O'Leary thing at you 1122 00:55:09,200 --> 00:55:12,759 Speaker 1: that you probably haven't seen, okay, or if you have, 1123 00:55:14,800 --> 00:55:18,560 Speaker 1: I would be surprised. So there's a young watch geek 1124 00:55:18,680 --> 00:55:21,640 Speaker 1: named Teddy I'm gonna get his last name wrong, Balderas 1125 00:55:21,719 --> 00:55:26,799 Speaker 1: or balder Ass say something like that, and he is 1126 00:55:26,800 --> 00:55:30,000 Speaker 1: pretty well known in the time piece of community, and 1127 00:55:30,520 --> 00:55:35,319 Speaker 1: somehow he him and Kevin O'Leary became friendly and the 1128 00:55:35,360 --> 00:55:41,440 Speaker 1: two of them go on these watch shopping for lack 1129 00:55:41,480 --> 00:55:46,200 Speaker 1: of a better word, expeditions and they're just shockingly hilarious. 1130 00:55:46,239 --> 00:55:48,759 Speaker 1: So if you're a Kevin O'Leary fan, it this is 1131 00:55:48,840 --> 00:55:52,560 Speaker 1: him up close and personal talking about why he likes 1132 00:55:52,600 --> 00:55:56,359 Speaker 1: certain things and doesn't. And you know, Teddy's a young guy. 1133 00:55:56,520 --> 00:56:01,440 Speaker 1: Kevin is a different generation and the interaction it's just charming. 1134 00:56:01,440 --> 00:56:04,960 Speaker 1: And if you're a fan of leary's you'll find this 1135 00:56:05,000 --> 00:56:08,239 Speaker 1: absolutely Thank you for the tips, So yeah, you will 1136 00:56:08,239 --> 00:56:12,240 Speaker 1: thank me for sure. Let's talk about mentors who helped 1137 00:56:12,480 --> 00:56:13,640 Speaker 1: shape your career. 1138 00:56:14,960 --> 00:56:16,880 Speaker 3: Number one would be my dad. 1139 00:56:17,280 --> 00:56:21,040 Speaker 2: We are very close, we have had very similar career careers. 1140 00:56:21,200 --> 00:56:21,960 Speaker 1: We look alike. 1141 00:56:22,480 --> 00:56:26,120 Speaker 2: He's my best friend by far. We talk two or 1142 00:56:26,120 --> 00:56:28,640 Speaker 2: three tight times a day. I'm admittedly super codependent. 1143 00:56:28,719 --> 00:56:32,919 Speaker 3: He's awesome. I was joking earlier. 1144 00:56:32,960 --> 00:56:34,680 Speaker 2: I think Goldman believes me more than he does that 1145 00:56:35,080 --> 00:56:37,840 Speaker 2: I am totally joking. He is wonderful and he's the 1146 00:56:37,880 --> 00:56:39,880 Speaker 2: one person I can trust to give me honest advice. 1147 00:56:41,080 --> 00:56:43,320 Speaker 3: Other than that, I think second. 1148 00:56:43,120 --> 00:56:47,240 Speaker 2: Grade soccer coach, a guy named Jeff Easter. He actually 1149 00:56:47,280 --> 00:56:48,759 Speaker 2: told me to read this book. Golf is not a 1150 00:56:48,800 --> 00:56:52,520 Speaker 2: game of perfect, but he he taught me to like 1151 00:56:52,800 --> 00:56:54,480 Speaker 2: it was a good lesson for being a trader. He 1152 00:56:54,560 --> 00:56:57,200 Speaker 2: taught me to like, move on from your last you know, 1153 00:56:57,280 --> 00:57:00,120 Speaker 2: mystical and just stop stressing over it. 1154 00:57:00,440 --> 00:57:01,560 Speaker 3: I finally. 1155 00:57:02,880 --> 00:57:05,400 Speaker 2: Somebody I used to work with Hawaii, my deputy Cio. 1156 00:57:06,800 --> 00:57:09,440 Speaker 2: He has thirty more years probably an investment experience in me, 1157 00:57:09,880 --> 00:57:13,600 Speaker 2: but always treated me as an equal even though it's 1158 00:57:13,640 --> 00:57:15,680 Speaker 2: his boss, and gave me wonderful advice and to this 1159 00:57:15,800 --> 00:57:17,920 Speaker 2: day is a close friend that can ask anything else. 1160 00:57:18,320 --> 00:57:20,800 Speaker 1: Let's talk about books. What are some of your favorites? 1161 00:57:20,800 --> 00:57:21,920 Speaker 1: What are you reading right now? 1162 00:57:22,080 --> 00:57:28,439 Speaker 2: I just finish The Wager and Endurance and wait. 1163 00:57:28,520 --> 00:57:31,880 Speaker 1: So the Wager I'm not familiar with. Endurance is the 1164 00:57:31,920 --> 00:57:35,200 Speaker 1: Shackleton the Stories, which is insane. I can't believe that's 1165 00:57:35,680 --> 00:57:39,840 Speaker 1: made hit into a movie that anyone knows of what's 1166 00:57:39,880 --> 00:57:40,360 Speaker 1: the Wager? 1167 00:57:40,680 --> 00:57:44,240 Speaker 2: The Wager is a shipwreck actually around the same area, 1168 00:57:44,320 --> 00:57:48,960 Speaker 2: but it is a true story of a shipwreck, and 1169 00:57:49,560 --> 00:57:51,760 Speaker 2: similar to the reasons I like the Shackleford story. It's 1170 00:57:51,800 --> 00:57:56,240 Speaker 2: an interesting examination of leadership in crisis. And also it 1171 00:57:56,400 --> 00:57:58,439 Speaker 2: helps me when I'm running in the morning and I'm tired. 1172 00:57:58,480 --> 00:58:02,320 Speaker 2: I'm like, well I have and I've had water and 1173 00:58:02,720 --> 00:58:03,680 Speaker 2: not covered in lice. 1174 00:58:04,760 --> 00:58:08,920 Speaker 1: Right or sub sub zero temperature with leopard seals. 1175 00:58:08,640 --> 00:58:10,920 Speaker 2: Trying to use I know, it's incredible story. 1176 00:58:11,200 --> 00:58:13,680 Speaker 1: I think I just read not too long ago that 1177 00:58:13,960 --> 00:58:21,600 Speaker 1: they found the Shackleford ship the uh No Way and 1178 00:58:21,640 --> 00:58:24,960 Speaker 1: it's the water is so cold, everything is preserved. Normally 1179 00:58:25,040 --> 00:58:27,479 Speaker 1: the wood would have wrought it away a long time ago, 1180 00:58:27,560 --> 00:58:32,200 Speaker 1: but nothing eats it away because it's barely of a 1181 00:58:32,320 --> 00:58:33,640 Speaker 1: phreezing most It's Unloubal. 1182 00:58:33,840 --> 00:58:36,040 Speaker 2: The Shackleling story really struck me because if you look 1183 00:58:36,040 --> 00:58:38,080 Speaker 2: at the wager, I won't this is not a spoiler. 1184 00:58:38,320 --> 00:58:40,600 Speaker 2: They're mostly negative in this story and he is just 1185 00:58:40,640 --> 00:58:44,280 Speaker 2: like continually positive and it's incredible. It's just it's a 1186 00:58:44,320 --> 00:58:45,480 Speaker 2: great story in leadership. 1187 00:58:45,720 --> 00:58:48,000 Speaker 1: Like if you would have told me, hey, you're gonna 1188 00:58:48,000 --> 00:58:51,120 Speaker 1: lose your ship and you're stuck somewhere in the Antarctic, 1189 00:58:51,200 --> 00:58:54,080 Speaker 1: my assumption is you're gone or you have no chance 1190 00:58:54,120 --> 00:58:57,960 Speaker 1: of survival. Yes, like the fact that if you if 1191 00:58:57,960 --> 00:59:01,240 Speaker 1: you've never read the book Endurance, it's just one of 1192 00:59:01,280 --> 00:59:04,840 Speaker 1: the most amazing. It couldn't be fiction because it just 1193 00:59:04,840 --> 00:59:07,160 Speaker 1: wouldn't be believable. The fact that it's a true story 1194 00:59:07,560 --> 00:59:11,040 Speaker 1: makes it really amazing, right right, Yeah, So two books, 1195 00:59:11,040 --> 00:59:13,160 Speaker 1: The Wager and Endurance. I'm going to have to check 1196 00:59:13,160 --> 00:59:17,080 Speaker 1: out The Wager. Our final two questions, what sort of 1197 00:59:17,120 --> 00:59:20,360 Speaker 1: advice would you give to a recent college grad interested 1198 00:59:20,400 --> 00:59:24,520 Speaker 1: in a career in either investment or risk management, or 1199 00:59:24,640 --> 00:59:27,320 Speaker 1: public pensions or anything else in finance. 1200 00:59:27,800 --> 00:59:30,120 Speaker 2: I think I would encourage them to know the full 1201 00:59:30,160 --> 00:59:32,400 Speaker 2: scope of what jobs you can have investments. You can 1202 00:59:32,440 --> 00:59:35,120 Speaker 2: be in marketing, you can be in communications. We need writers. 1203 00:59:35,280 --> 00:59:39,320 Speaker 2: Everybody needs good writers these days. We need good public speakers. 1204 00:59:39,360 --> 00:59:42,120 Speaker 2: We also need traders, we need pms, we need leaders, 1205 00:59:42,480 --> 00:59:46,440 Speaker 2: we need hr need legal So it always strikes me 1206 00:59:46,480 --> 00:59:49,480 Speaker 2: how the young people seem to think you're just a 1207 00:59:49,520 --> 00:59:50,480 Speaker 2: banker or a trader. 1208 00:59:50,560 --> 00:59:51,880 Speaker 3: Nope, there's a lot of other things. 1209 00:59:52,200 --> 00:59:54,840 Speaker 1: And our final question, what do you know about the 1210 00:59:54,840 --> 00:59:58,360 Speaker 1: world of investing today? You wish you knew let's say, 1211 00:59:58,400 --> 01:00:02,120 Speaker 1: twenty years ago when you first got it started. 1212 01:00:03,400 --> 01:00:05,840 Speaker 2: Then no one knows all the right answers all the time. 1213 01:00:06,120 --> 01:00:07,960 Speaker 2: They all act like they do, but they don't. And 1214 01:00:08,040 --> 01:00:10,320 Speaker 2: if you get it wrong, they've gotten it wrong too. 1215 01:00:10,880 --> 01:00:13,640 Speaker 1: Really interesting, Elizabeth, Thank you for being so generous. With 1216 01:00:13,720 --> 01:00:15,640 Speaker 1: your time. This was absolutely fascinating. 1217 01:00:15,840 --> 01:00:16,600 Speaker 3: Thank you for having me. 1218 01:00:16,840 --> 01:00:20,720 Speaker 1: We have been speaking with Elizabeth Taylor Slash Elizabeth Burton 1219 01:00:21,360 --> 01:00:25,360 Speaker 1: of Goldman Sachs's Asset Management. If you enjoy this conversation, 1220 01:00:25,520 --> 01:00:27,840 Speaker 1: be sure and check out any of the five hundred 1221 01:00:27,880 --> 01:00:31,760 Speaker 1: previous conversations we've had over the past eight years. You 1222 01:00:31,800 --> 01:00:35,520 Speaker 1: can find those at iTunes, Spotify, YouTube, wherever you get 1223 01:00:35,600 --> 01:00:39,440 Speaker 1: your favorite podcast. Sign up from my daily reading list 1224 01:00:39,480 --> 01:00:42,040 Speaker 1: at ridults dot com. Follow me on Twitter at rid 1225 01:00:42,040 --> 01:00:46,200 Speaker 1: Holts or at Barry Underscore Ridults. Follow all of the 1226 01:00:46,240 --> 01:00:51,040 Speaker 1: Bloomberg family of podcasts on Twitter at podcast I would 1227 01:00:51,080 --> 01:00:53,120 Speaker 1: be remiss if I did not thank the craft team 1228 01:00:53,480 --> 01:00:57,680 Speaker 1: that helps us put these conversations together each week. Ana 1229 01:00:57,800 --> 01:01:03,760 Speaker 1: Luke is my producer, Sean Russo is my researcher. Attica 1230 01:01:03,760 --> 01:01:07,520 Speaker 1: of albron is my project manager. Sam Danziger is my 1231 01:01:07,640 --> 01:01:12,040 Speaker 1: audio engineer. I'm Barry Hults. You've been listening to Masters 1232 01:01:12,040 --> 01:01:14,240 Speaker 1: in Business on Bloomberg Radio.