Learn How $250M Fund Of Funds Uses Diversity To Generate Alpha - podcast episode cover

Learn How $250M Fund Of Funds Uses Diversity To Generate Alpha

Oct 10, 202319 minSeason 12Ep. 5
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Episode description

Learn How Daryn Dodson, Managing Partner Of Illumen Capital, Uses Diversity To Generate Alpha

Website: https://www.illumencapital.com/ Bio: Daryn is a passionate advocate of social and economic justice, especially for disadvantaged and marginalized groups. His work with impact investors, private equity funds, Fortune 100 companies, universities and foundations has been viewed through the lens of addressing the world’s most pressing social and environmental problems.  Daryn previously led the Special Equities Program as a consultant to the Board of the Calvert Funds, a $12 billion pioneer of the impact investing field. Through this vehicle, Calvert maintains a portfolio of more than 40 funds on five continents, representing over 350 underlying portfolio companies. Prior to serving as a consultant to Calvert, Daryn served as Director of University and Corporate Partnership for The Idea Village, where he created a platform engaging leading private equity firms, business schools, and Fortune 500 companies to invest in New Orleans entrepreneurs post-Hurricane Katrina. Mr. Dodson currently serves on the Board of Directors for Ben and Jerry’s.  He earned his M.B.A. from Stanford, where he serves on the Dean’s Management Board, and his A.B. from Duke University.

Transcript

One and welcome everybody to another smart money circle show. I'm Adam Sarhan. With me today is Darren Dodson, who's managing Partner at Alum Capital with around 250 million in assets under management. Darren, thank you so much for coming on the show. Oh. It's great to be here, so I always like to begin. Can you tell us your story and how you got to where you are today, please? Sure, I grew up in Washington,

DC, started. Looking at and understand the asset management business after graduating from Duke University and focusing on antipredatory lending legislation, which I worked with a group of attorneys to pass legislation in in 18 states to protect low income homeowners from predatory loans. After that, I had the opportunity during that time to look at. Research as a power for creating

change. And the research there showed that loans were underwritten above risk to black and Latino families in particular, which was, you know, created a lot of. A lot of people stuck in loans for reasons that hurt them as overall borrowers over time, which is bad for banks but also hurt them in terms of. You know, no one should pay more for a loan because of the race or color of their thick skin.

So using those insights ended up going to Stanford Business School and then focusing on underwriting for companies that create positive impact in the world. And that's been my focus for the last 15 years of my career.

I did 8 years at the Calvert Funds where I focused on investing in transformative, environmentally focused companies as well as. Health tech companies before starting my own firm, Alumin Capital, which I'm excited to share more about today, perfect by the way, fantastic cause I love that that there's something, there's a purpose behind the mission there and that's really, really fantastic. So next is a perfect segue to my next question. Please tell us about your investment strategy.

At Alumin Capital, we're fund of funds. We're private equity venture and growth fund of funds. We focus on investing in. The leading impact funds in the world and working with them to apply rigorous evidence based strategies to address biases that prevent our managers from seeing the all too often underestimated and overlooked entrepreneurs talent within their hiring processes and then also within their board construction and selection processes. I love that.

So you're fund the funds, meaning you're looking at other strategies. I guess it's a good segue again to my next question. How do you handle risk and what are some mistakes you see people make with respect to risk management? Well, one of the things that we do is that we look at investing in an area where there's latent value in the in our investment strategy.

So when we look at. The asset management business, about $82 trillion under management, 1.4% of it is managed by women and people of color. So one might naturally think that there would be an opportunity and investing in, you know, 50% of the universe of possible funds would be women led. So we might look to women led firms as a potential for outperformance. And women and people of color

led firms. In fact, our own research with Stanford University where we systematically tested 180 asset allocators and looked at their ability to select high performing black managers versus high performing white managers controlling for a number of variables and we found that

systematically asset allocators. Would leave money on the table before investing in high performing black led funds which means that there's a tremendous opportunity that it for those that can see the opportunity which is the way we spend a lot of time partnering with our downstream funds in order to unlock the verticals that we invest into and their ability to see these. We liken it to drive in a car and if you're driving a car and you've ever had your.

Your parking break on you know something's going slower and you're not sure what quite what for a while and taking the blinders off and seeing opportunity within communities that might be different that then fund managers meet through their networks or you know through familiarity might in in many cases given our thesis sort of yield economic opportunities that might not have seen. I love it.

I love that. So I guess next question for you from a before we well let me ask you about the risk again. So you're saying that there's basically a layer of the market of portfolio managers that are allocators are under invested 10 or under allocated towards and that's strictly based on their race. So are there other indicators that you use as far as finding these undervalued money managers and allocating to them? Do you look at strategy?

Do you look at beta? Do you look at sharp ratio, anything along those lines or is it just a race component and gender? In the private markets, we also have sector based, sector based strategy. We have 4 sectors that we invest into transformative environmental technologies we look at. Health enabled technologies as well as educational technologies

and financial tech. So when we look at these different areas, each of them have their own respective biases within the strategies in the firms and the companies that the respective funds we invest in to commit to and we're able to add,

you know our unique. Thinking about overcoming biases to each of these different platforms, for example, within Edtech we see that underwriting algorithms, machine learning, etcetera can apply in the biases of a teacher so that education isn't delivered in an equitable way. So if we're interrupting those biases, it increases the education for all students in the classroom. And helps the firms deliver on important aspects that are important to the education system.

Furthermore, we see in a period of high volatility like we're in high inflation, high interest rates, etcetera, that biases increase from our social psychologist friends. In fact, we published a paper with some of the leading social psychologists in the world. And in in what we learn is that in these periods of time when people are often making Ras decisions, slowing down and addressing biases becomes even

more important. So I think that one of the ways that we mitigate risk that you know whether it's Daniel Kahneman talking about his Nobel Prize winning research is under these pressure oriented conditions where there's lots of emotional energy in the markets. We're able to help our managers slow down and address some of these biases that might occur. Hey, so that makes perfect. So it clicked in my head as you were speaking. Thank you for that.

So basically your alpha, your strategy, your edge is being able to find cognitive biases that exists in all our minds and then help I guess narrow it down over there to help this, I guess discover or find these undervalued assets that most people would miss because it's a blind spot for them. Is that is that a good way of wording it?

That's it. I mean, the assumption I often say, like cognitive biases as we know from Charlie Munger and Daniel Kahneman, are a very broad number of hundreds of different biases that might show up. But we take, you know, kind of a broad view that if 1.4% of $82 trillion in assets are managed by women and people of color, one of the biggest biases that the market might have, especially after our research that shows the higher people perform, the more bias they face if they're black.

And one of the biggest biases that we might see facing women and people of color in the market is the inaccurate assessment of their ability to outperform relative to the analysis that's currently being done. So while many cognitive biases may yield an opportunity in markets, this one is so imbalanced relative to what we had expect by random chance. That we think that there is a massive value that underlies people's ability to properly

underwrite this group. Just like I saw, you know, initially in the banking system where people were being underwritten significantly above risk because they were black or Latino. Yeah, no, I love that. So I wrote a book about psychological investing as Psychological analysis and it was #1 in Amazon for two months every day and in it. I yeah, So you're speaking my

language, so to speak. I have a whole section on cognitive biases, and I'm very, very big on the whole idea of the book as a teacher, how to make rational, not emotional decisions, especially with your money. So what you're saying here is it's, it's spot on. Like I've got my mind going in a gazillion different directions

here. I love that you were able to take that realization you have and then create a whole entire business around it. And being a fund to fund manager, you can help, I guess find those blind spots that other people would miss. So that to me is fascinating and I and brilliant by the way. So hats off to you. I mean really, really, really great job. Thank you. So. OK, well, let me also give the audience something. There's something called the personal blind spot bias, one of

these cognitive biases. So if you ask 100 newlywed in case the audience isn't following, here's how to explain it. Ask 100 newlyweds the night of their wedding. Raise your hand if you think you can get divorced. Almost no hands are going to go up. Yet statistically, we know half

of them are getting divorced. That's called the personal blind spot bias, and that's a blind spot that people just don't see if you're in it. But if you're out of it, you can clearly see it. And that's what I guess what you're doing over here in an investment standpoint. So yeah, no, I love that. Okay, timeless lessons. What are some timeless lessons you've learned along the way that you'd like to share with the audience, please?

Well, one is the power of James Baldwin's contributions to our work. And James Baldwin often talks about people and the way that they think, the way that they act, and the. The difference between and the space between those two. And he says many people think that they would like to do the right thing or underwrite with

these types of tools. But when they try to move into action, there's there's a danger of, like you just mentioned in your example, sort of understanding how their identity might be challenged in the process of acting. So in in some ways removing some of the motion from the underwriting process sort of helps us to get there.

I think in studying something like both of us have been working on and something that's unseen bias by definition, it's going to be a little bit harder to explain to people something that they don't naturally see. But I think that the consistent frameworks for questions that we ask.

Those that were evaluating. Although it seems quite simple as an analytical framework, we often see it change drastically when women are presenting and you know large numbers of downside questions that are asked. Isn't the risk of this business greater than other businesses? Are you afraid you'll run out of money or not hit your milestones versus men who are often asked? You know, how hard can you hit the ball over the fence or what's how big could this

opportunity be? These heuristics creep back into the process of investing and the field that we're in. Within venture capital, although we found similar findings within public equities as well as fixed income, when we look at private equity venture and growth, there is where we invest into. There's often massive value creation and upside that could be lost if we're missing some of these biases in a major way. In other words, being second or third in a category isn't always

a desirable position. So really, choosing the number one entrepreneur in a particular field, it can be very, very valuable. So investing heavily in the underwriting process to partner with our managers is something that we focused on for that reason as well. I love that. So let's talk about timeless mistakes. What are some timeless mistakes you've learned you've made, and or how do you avoid them that

you want to share? So I think one of the timeless mistakes that I've seen made quite often is. The creation of something new, let's call it the field of impact investing or ESG without one of the critical SuccessFactors in producing an alpha, which is namely the inclusion of women and people of color. And particularly because of this finding that shows that bias increases when performance increases, which is sort of.

The hallmark of our our, our paper, so weeding out top performing managers because of their race, timeless mistake that I think a lot of portfolios could benefit from intentionally looking for managers that they might inadvertently through bias weed out. Also, I think it's an important dimension of fiduciary duty, so. Turns out that this timeless mistake is also important for that reason.

Because if we're trying to be great fiduciaries and we noticed that a dimension about performance is missing from our pipeline, i.e. Women and people of color led funds that in some cases have are more often than not produced at or above results. Then we should be looking you know carefully through the portfolio for these opportunities. I love that because that that's

really, really smart. So you actually you're able to almost shed shed light if you will on that blind spot and then extract alpha from there if I understand your process. Yeah, that that's right. And it is sort of consistent with modern portfolio theory. We want to start with a set of the investable universe. And what we found is that in evaluating pension funds, sovereign wealth funds, university endowments, family office asset allocators.

That they are are are not looking for inadvertently sort of some of these alpha producing managers, which in some cases are women and people of color led funds. I know the National Association of Investment Companies, for example, has done research over the last 40 years showing at or equal performance despite this, you know, kind of lack of. Additional asset allocation to managers of color and women LED

funds. So when we combine the thinking there, we asked, well, why aren't asset flows following performance And one of the things that we think and hypothesize on it, there seems to be some. You know, important additional work to be done is that bias is one of those things that can make the mind think differently about allocating capital to outperforming funds, right. Yeah, you're chasing returns and then yeah, that that makes perfect sense. OK.

Next question, what's the best piece of advice you'd like to share with the audience or your 20 year old self? Let's see. I think that. One of the exciting pieces of advice that someone gave me, and this is a consistent, I found it to be somewhat consistent. But my venture capital teacher at Stanford Business School was Andy Rycliff, one of the founders of Benchmark.

And you know, he was one of the people that told me, you know, big ideas come from two major conditions, and many listeners may be familiar with this. One is that. They're non consensus and the 2nd is that they're right. So in other words, if we went around to a number of people and we asked them if this idea was a good idea, a lot of the people would say I don't know or be confused by the idea.

And the second condition is that you know there's economic value associated with delivering on the other side of that idea. Now I think the idea of bias. Facing women in color of in asset management, when I go around and talk to leaders of financial institutions, a lot of them seem puzzled at first. But when they look around their offices in their industry and they see 98% of 1 race and one gender in in the industry, they then begin to kind of examine how bias might be showing up.

And then the second piece is the associated latent economic value with fixing that problem or addressing these biases. And you know that's the essence of a looming capitals message and thesis. So trying to find follow Andy's advice there and sort of find an area where there is untapped value that many people may not understand or.

Have attention focused on for one reason or another and deliver that value to, of course, our investors and create a movement of others that see this value and can build organizations to address it. That it's almost it reminds me of the story with Henry Ford. If he was going to ask his customers what they wanted, they would have said a faster horse and buggy, but instead he invented. So yeah, that makes perfect sense. So, OK, beautiful. Well, Darren, this has been

absolutely fantastic. Thank you so much for coming on the show. What is the best way for people to get in touch with you? Is it a website or how would you like people to reach out? Yeah, I think just go to our website and you can learn more about our work at www.alumincapital.com. Beautiful. Well, Darren, thanks so much and hopefully we'll see you again soon. All right. Really appreciate it. Thanks a lot, Adam.

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