WEBVTT - Factor-based Investing with John Montgomery

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Masters in

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<v Speaker 1>Business with Barry Ritholts on Bloomberg Radio.

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<v Speaker 2>This week on the podcast, I have an extra special

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<v Speaker 2>guest returning for the first time in a few years,

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<v Speaker 2>John Montgomery. He is the founder of Bridgeway Capital, established

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<v Speaker 2>in nineteen ninety three, and the firm is really a

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<v Speaker 2>very interesting mix of quantitative, value based and factor based investing.

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<v Speaker 2>It's really none and all of the above. It's a

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<v Speaker 2>little more nuanced and sophisticated than that. The firm first

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<v Speaker 2>came to my attention because I was kind of intrigued

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<v Speaker 2>by the idea of donating half their profits to charity.

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<v Speaker 2>That's unusual in the world of finance. In addition, they've

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<v Speaker 2>put up some really impressed of numbers over the past

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<v Speaker 2>thirty years, which has given them the opportunity to donate

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<v Speaker 2>tens of millions of dollars to their favorite organizations. I

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<v Speaker 2>thought this conversation was fascinating and I think you will

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<v Speaker 2>also with no further ado Ridgeway Capitals.

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<v Speaker 3>John Montgomery, Thanks Berry, it's great to be here.

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<v Speaker 2>It's great to see you. Let's for people who may

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<v Speaker 2>not be familiar with the firm, and your background. Let's

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<v Speaker 2>start with how your interesting and unusual career BS and engineering,

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<v Speaker 2>BA in philosophy from Swarthmore. Then you get a graduate

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<v Speaker 2>degree from MIT and you go to Harvard Business School.

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<v Speaker 2>What was the career plan?

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<v Speaker 3>Their career plan originally was urban development and transportation, So

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<v Speaker 3>that was my first career, was working with various bus

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<v Speaker 3>and transportation companies to improve the quality of life in

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<v Speaker 3>the cities. People ask how does that relate to investing,

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<v Speaker 3>and I say, well, they're both service industries. They're both

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<v Speaker 3>people intensive, and those are the elements that I love.

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<v Speaker 2>And I got to imagine there's a ton of data

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<v Speaker 2>analytics and optimization thinking that goes into both.

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<v Speaker 3>That's true. I like the intersection of people and analysis,

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<v Speaker 3>and both industries give a lot of opportunity that I

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<v Speaker 3>love serving people. They're both service industries, so I'm a

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<v Speaker 3>happy camper.

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<v Speaker 2>That makes a lot of sense. You were pretty early

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<v Speaker 2>to computer modeling and statistical methods as a research engineer

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<v Speaker 2>at MCT. This is the late nineteen seventies. That sort

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<v Speaker 2>of data analytics wasn't really well understood back then. How

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<v Speaker 2>did that background help when it comes to modeling portfolios

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<v Speaker 2>or applying those methods of statistical analysis to invest in.

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<v Speaker 3>Well, the statistical side definitely comes from my degree and

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<v Speaker 3>then work as a project manager at MIT, So you're right,

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<v Speaker 3>late seventies till nineteen eighty. The investment piece of that

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<v Speaker 3>didn't come tell business school about three four years later,

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<v Speaker 3>And that was kind of you could say, by chance

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<v Speaker 3>or on a lark. I thought, well, you know, there's

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<v Speaker 3>an opportunity cost of stepping out of your career where

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<v Speaker 3>you have a paycheck to go back to business school

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<v Speaker 3>full time, which I did, and thought, while I'm here,

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<v Speaker 3>I'll take a few investing courses and see if I

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<v Speaker 3>can use those to earn back the opportunity cost of

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<v Speaker 3>going to business school for two years.

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<v Speaker 2>So from transportation to finance. That sounds almost but not

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<v Speaker 2>quite purposeful. Is that Is that a fair description?

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<v Speaker 3>I think that's a very accurate description. So, and actually

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<v Speaker 3>didn't leave the transportation field immediately after business school. I

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<v Speaker 3>was in an investing course and we're doing a case study.

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<v Speaker 3>Professor ends the class and asks the question, who here

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<v Speaker 3>thinks that they'll be able to outperform post leaving Harvard

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<v Speaker 3>Business School this track record? And eighty percent of the

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<v Speaker 3>hands go up in the room. I'm not one of them,

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<v Speaker 3>by the way.

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<v Speaker 2>So the whole class from Lake wobegone everybody's average.

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<v Speaker 3>Yes, yes, exactly, I mean, and I immediately got the

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<v Speaker 3>eighty twenty rules. Wait a minute, this can't be And

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<v Speaker 3>if this is a microcosm and the methods that we

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<v Speaker 3>were using to think about the markets and valuation in

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<v Speaker 3>net present value kind of cfa classic kind of analysis.

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<v Speaker 3>If this is a microcosm of Wall Street in five years,

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<v Speaker 3>which probably it is, then quantitative methods should give you

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<v Speaker 3>a leg up on the competition for a lot lower costs.

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<v Speaker 2>So you've previously discussed the epiphany you had at Harvard

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<v Speaker 2>Business School. Is that the epiphany or was it something.

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<v Speaker 3>Else that was a major piece of it. I would

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<v Speaker 3>say the primary insights were behavioral finance ones we would

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<v Speaker 3>call like I didn't. I'd never heard the word behavioral

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<v Speaker 3>finance at the time.

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<v Speaker 2>At that as a phrase didn't exist for another twenty

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<v Speaker 2>five years.

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<v Speaker 3>Probably not you know, you see you watch. I've once

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<v Speaker 3>had a boss who said, this guy has enough sheep

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<v Speaker 3>skins to skin a sheep. But if I ever did

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<v Speaker 3>go back to school, the next degree I would love

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<v Speaker 3>to have is in psychology, because I really there's so

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<v Speaker 3>much there, and especially the intersection of psychology and money.

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<v Speaker 2>When do you finish up at HBS. What year was that?

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<v Speaker 3>Nineteen eighty five?

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<v Speaker 2>All right, so what do you do between that and

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<v Speaker 2>nineteen ninety three when you launch Bridgeway?

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<v Speaker 3>So the first thing I did was investing as a hobby.

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<v Speaker 3>So that was my advocation for the next six years,

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<v Speaker 3>and my personal track record in investing was about twice

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<v Speaker 3>the market for those periods, right in a good period.

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<v Speaker 2>Scalable or kind of one off, little aberrational.

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<v Speaker 3>No fine, reasonably scalable, reasonably scalable, I would say enough

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<v Speaker 3>that after six years, I had the thought of making

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<v Speaker 3>my avocation my next career and did something that was

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<v Speaker 3>modeled to me by the mayor of Houston, my hometown

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<v Speaker 3>at the time, and that is to take a year

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<v Speaker 3>off between careers. He'd actually had four careers in his

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<v Speaker 3>life in different fields, and every time he switched, he

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<v Speaker 3>took a year off just to study the heck out

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<v Speaker 3>of the next step. So that's when I really studied

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<v Speaker 3>deeply the research why what I'd been doing was working

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<v Speaker 3>more about when it might not and riding a business

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<v Speaker 3>plan for Bridgeway.

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<v Speaker 2>That's pretty fascinating. I took a year off between college

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<v Speaker 2>and grad school, but I had no idea I was

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<v Speaker 2>actually doing what you advocate, or with the Mayor of

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<v Speaker 2>Houston advocates. I just was kind of lost and not

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<v Speaker 2>sure what to do next, and spent a year thinking

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<v Speaker 2>about it before pulling the trigger on law school. But

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<v Speaker 2>your hometown is Houston. The firm is still locating in

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<v Speaker 2>Yuston right since nineteen ninety three, that's when you launched.

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<v Speaker 2>Where you launched. From the very beginning, you said something

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<v Speaker 2>kind of unusual about the firm. We want to donate

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<v Speaker 2>half of our profits to nonprofit organizations. Tell us where

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<v Speaker 2>that idea came from. It's fairly unusual either in finance,

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<v Speaker 2>and I've been to Houston. That's a kind of unusual

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<v Speaker 2>idea in Houston as well.

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<v Speaker 3>That's true. If I gather around, you know, just random

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<v Speaker 3>business people in Houston and say that we donate half

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<v Speaker 3>our profits, I have to say I get some very

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<v Speaker 3>puzzled looks around the room. Not so much from other

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<v Speaker 3>purpose driven people in different fields, though, But yes, it's different.

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<v Speaker 3>Where did that come from? You know, we think things

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<v Speaker 3>come from one place, but usually there are a lot

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<v Speaker 3>of forces at Bay. So I would look back to

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<v Speaker 3>my father, who was a businessman and CEO of an

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<v Speaker 3>oil exploration firm, and believe that business was a way

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<v Speaker 3>to change the world and engage. My mother was what

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<v Speaker 3>I would think of as almost a professional volunteer, so

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<v Speaker 3>giving back to the community. And this was in a

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<v Speaker 3>time when the War on Poverty, you know, was the

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<v Speaker 3>slogan at the time. So I was hugely influenced by

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<v Speaker 3>both of my parents. But I would say also a

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<v Speaker 3>conversation with my wife on the very first conversation of

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<v Speaker 3>starting Bridgeway, and it went something like this, let me

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<v Speaker 3>get this straight, John, You're thinking of leaving the transportation

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<v Speaker 3>industry where you have a lot of experience and a

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<v Speaker 3>w two to start a company in an industry you've

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<v Speaker 3>never worked with, no initial guarantees, no guarantees on the

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<v Speaker 3>money side. And I said, yes, we talked that through.

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<v Speaker 3>I have to say, I'm married to an extraordinary woman.

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<v Speaker 3>I didn't realize at that age of thirty seven how

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<v Speaker 3>extraordinary she was. But she believes in supporting people who

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<v Speaker 3>have a dream and she did that for me in

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<v Speaker 3>for Bridgeway, So she was all in. She had two questions.

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<v Speaker 2>Yeah.

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<v Speaker 3>Question one, can we still send our daughters to college?

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<v Speaker 3>That was like, I should have paid more attention to

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<v Speaker 3>that question because my budget, my business plan was fifty

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<v Speaker 3>percent of our net worth. Before it was all said

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<v Speaker 3>and done, it was one hundred and fifty percent of

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<v Speaker 3>our net worth. Right, so it took three years to

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<v Speaker 3>break even when my business plan had it at one.

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<v Speaker 3>The second question was do I have to go to

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<v Speaker 3>cocktail parties? Why would she not her cup of tea?

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<v Speaker 2>No? But I mean, why would she imagine? Launching of

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<v Speaker 2>funds is going to require your spat Just like.

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<v Speaker 3>She grew up in Washington, DC around academicians and government people,

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<v Speaker 3>and her view of business was you have to go

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<v Speaker 3>to cocktail parties and schmooz with people. Right, that makes sense,

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<v Speaker 3>And having taken a course of negotiation at Harvard Business School,

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<v Speaker 3>I immediately recognized the opportunity and said, dear not if

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<v Speaker 3>you don't want to. So she only comes when she

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<v Speaker 3>when she desires to come wherever I am. But she's

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<v Speaker 3>an amazing soulmate and supporter of everything Bridgeway.

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<v Speaker 2>That's fantastic. So you've been donating half your profits to

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<v Speaker 2>these different organizations over thirty years? Is that right?

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<v Speaker 3>Thirty one years?

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<v Speaker 2>So how much have you guys donated? What are the

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<v Speaker 2>organizations you support? What's been the response in the community

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<v Speaker 2>over the decades.

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<v Speaker 3>We don't give exact numbers. We're privately held firms. Since

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<v Speaker 3>we donate half, we don't report our profits specifically either,

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<v Speaker 3>but I'll just say it's tens of millions. Okay, over

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<v Speaker 3>you know what substantial amount of substantial amount of capital.

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<v Speaker 3>The bullseye of our giving is our own affiliated Bridgeway Foundation.

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<v Speaker 3>This is an extraordinary organization led by a powerhouse of

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<v Speaker 3>a woman, Shannon Davis. Our mission statement focuses on ending

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<v Speaker 3>genocide and prevent any war atrocities, of which there are

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<v Speaker 3>too many opportunities in the world today. So that's the

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<v Speaker 3>crosshairs of our Let me.

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<v Speaker 2>Interrupt you right here. So, so I know you have

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<v Speaker 2>very quantitative leanings. How do you measure how successful you

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<v Speaker 2>are in stopping genocides? Just generally speaking, it's hard to

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<v Speaker 2>measure something that doesn't happen, so you're always engaging in

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<v Speaker 2>counter factuals. But how do you know if you've moved

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<v Speaker 2>the needle?

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<v Speaker 3>It's probably no easier, no more difficult than things that

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<v Speaker 3>we do on the investment side and in the stock market,

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<v Speaker 3>there's time series analysis. We actually hired an outside firm

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<v Speaker 3>to come in and review the record of what we

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<v Speaker 3>had done in our first engagement with an organization called

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<v Speaker 3>the Lord's Resistance Army. And if you want more details,

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<v Speaker 3>there's a book called to Stop a Warlord that Shannon

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<v Speaker 3>Davis wrote. I never thought we'd be able to tell

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<v Speaker 3>the story at that level because you don't want to

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<v Speaker 3>put at risk the people that are on the ground

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<v Speaker 3>doing the real work. However, she found a way to

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<v Speaker 3>do that and protect them, and so there's a book

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<v Speaker 3>that goes into a lot of detail on that. But

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<v Speaker 3>people think there's not a way to measure there is,

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<v Speaker 3>and you're right, being a quantitative statistical guy, you can

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<v Speaker 3>bet that that comes up on the table frequently.

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<v Speaker 2>Huh. Really really fascinating. What's been the response from the community.

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<v Speaker 3>The smallest in community is the Bridgeway community. So that's

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<v Speaker 3>the twenty eight people at Bridgeway we call partners. Right

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<v Speaker 3>they sign on for this work because it's in the

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<v Speaker 3>mission statement. You don't not know about it coming in

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<v Speaker 3>and you don't come if this isn't from day one

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<v Speaker 3>and that's that's everything. The community of Houston, I would

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<v Speaker 3>say less so, but it's kind of it's specific to individuals.

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<v Speaker 3>So every once in a while you get somebody's like unbelievable,

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<v Speaker 3>that's amazing and cannot come huh that level. We have

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<v Speaker 3>partnered with other organizations, one of those being Howard Buffett,

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<v Speaker 3>Warren Buffett's son that does substantial philanthropic work.

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<v Speaker 2>Is he in Texas?

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<v Speaker 3>No, No, he's in Nebraska, But we have partnered with

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<v Speaker 3>him and work in the Ukraine. Worked in the first

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<v Speaker 3>year of getting generators in for obvious reasons and getting

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<v Speaker 3>the grain out for obvious reasons. I tell people at Bridgeway,

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<v Speaker 3>we don't know squat about farming, but Howard Buffett does.

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<v Speaker 3>And the third thing is documenting war crimes, and that's

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<v Speaker 3>actually something that Bridgeway Foundation knows a lot.

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<v Speaker 2>About documenting war crimes. Documenting and what do you do?

0:13:37.240 --> 0:13:39.280
<v Speaker 2>Does this then go to the Hague to the UN

0:13:39.360 --> 0:13:42.080
<v Speaker 2>What do you do with once you've documented and it

0:13:42.120 --> 0:13:47.040
<v Speaker 2>should be fairly substantial in Ukraine, considering the Russians have

0:13:47.200 --> 0:13:55.120
<v Speaker 2>been bombing civilian hospital, schools, infrastructure, apartment buildings, it looks horrific.

0:13:55.760 --> 0:13:59.080
<v Speaker 2>What do you do with all of that information once

0:13:59.120 --> 0:14:01.360
<v Speaker 2>you've documented a warp rhyme in Ukraine.

0:14:01.559 --> 0:14:07.080
<v Speaker 3>So it depends on what national or international jurisdiction engages.

0:14:07.360 --> 0:14:10.400
<v Speaker 3>So optimally you like to keep it at the country

0:14:10.480 --> 0:14:14.320
<v Speaker 3>level if possible. The International Criminal Court is the other

0:14:14.600 --> 0:14:17.880
<v Speaker 3>place that you can take a case that's in the Hague.

0:14:17.600 --> 0:14:20.080
<v Speaker 2>That is in the Okay. So that's what I was

0:14:20.520 --> 0:14:23.880
<v Speaker 2>really thinking about. Do they take these on as individual

0:14:23.920 --> 0:14:26.440
<v Speaker 2>cases or are they kind of you know, it seems

0:14:26.480 --> 0:14:29.640
<v Speaker 2>like the UN is sort of paralyzed because of you

0:14:29.800 --> 0:14:32.240
<v Speaker 2>just have one voting member say no and that that's

0:14:32.320 --> 0:14:33.040
<v Speaker 2>that at the end.

0:14:33.160 --> 0:14:35.920
<v Speaker 3>One of the indicities of the International Criminal Court was

0:14:36.080 --> 0:14:40.400
<v Speaker 3>Dominique Angwin, who was a general in the Lord's Resistance

0:14:40.520 --> 0:14:45.040
<v Speaker 3>Army the first conflict that I mentioned earlier, and we

0:14:45.160 --> 0:14:47.960
<v Speaker 3>played a major role in getting him to the Hague

0:14:48.000 --> 0:14:51.640
<v Speaker 3>to stand trial for justice. So win for justice and

0:14:51.680 --> 0:14:54.200
<v Speaker 3>then and as a deterrent by the way to kind

0:14:54.240 --> 0:14:56.000
<v Speaker 3>of thugs of the world that think they can get

0:14:56.000 --> 0:14:57.320
<v Speaker 3>away with war atrocities.

0:14:57.400 --> 0:15:01.920
<v Speaker 2>What one would hope what happens when you have somebody

0:15:02.040 --> 0:15:06.560
<v Speaker 2>like Putin who's kind of hard to reach and is Wisconsin, Moscow,

0:15:06.680 --> 0:15:09.480
<v Speaker 2>and you know, how many hundreds of thousands of people

0:15:09.520 --> 0:15:14.640
<v Speaker 2>have been killed, civilians, non combatants killed in the Ukraine.

0:15:15.440 --> 0:15:16.360
<v Speaker 2>How do you reach someone?

0:15:16.680 --> 0:15:19.520
<v Speaker 3>I would say one step at a time, and then

0:15:19.840 --> 0:15:21.960
<v Speaker 3>you know, it's a lot of hard work slugging through

0:15:22.000 --> 0:15:23.800
<v Speaker 3>and then occasionally you just need a stroke of good

0:15:23.880 --> 0:15:27.640
<v Speaker 3>luck for something going the right way. Typically it takes

0:15:27.680 --> 0:15:30.560
<v Speaker 3>more time. You know. They say the arc of justice

0:15:31.200 --> 0:15:33.480
<v Speaker 3>gets there, but it's slow. That's not an exact quote,

0:15:33.560 --> 0:15:37.880
<v Speaker 3>but that's my Martin Luther King summary of it.

0:15:37.960 --> 0:15:40.880
<v Speaker 2>Yes, sure, so we'll come back to this because this

0:15:41.000 --> 0:15:44.080
<v Speaker 2>is really fascinating. I had no idea you were so

0:15:44.320 --> 0:15:49.160
<v Speaker 2>international in the philanthropic sphere. But we'll definitely circle back

0:15:49.200 --> 0:15:53.440
<v Speaker 2>to that. Let's start talking a little bit about that

0:15:53.600 --> 0:15:56.480
<v Speaker 2>track record. You have a couple of mutual funds, a

0:15:56.520 --> 0:16:00.240
<v Speaker 2>couple of ETFs. I'm assuming you're running other stuff as

0:16:00.280 --> 0:16:04.640
<v Speaker 2>a either separately managed accounts or a separate what have you.

0:16:04.880 --> 0:16:08.720
<v Speaker 2>I know, one of your funds since inception has outperformed

0:16:08.760 --> 0:16:12.120
<v Speaker 2>the market by about one hundred basis points, and the

0:16:12.320 --> 0:16:14.760
<v Speaker 2>other I don't know if it's still a mutual fund.

0:16:14.800 --> 0:16:17.560
<v Speaker 2>I know it started as a mutual fund is now

0:16:17.960 --> 0:16:21.760
<v Speaker 2>about three hundred basis points over market returns. Tell us

0:16:21.760 --> 0:16:24.680
<v Speaker 2>about the mutual funds and ETFs you run on behalf

0:16:24.760 --> 0:16:26.240
<v Speaker 2>of Bridgeways clients.

0:16:26.360 --> 0:16:29.400
<v Speaker 3>Yes, so let me talk about the strategies. One you

0:16:29.480 --> 0:16:33.880
<v Speaker 3>referred to as aggressive investors, and as the name would indicate,

0:16:34.360 --> 0:16:37.720
<v Speaker 3>it has high beta, very well high beta, but very

0:16:37.800 --> 0:16:42.080
<v Speaker 3>high exposure to the factors that we want that we

0:16:42.160 --> 0:16:42.960
<v Speaker 3>believe in, so.

0:16:43.080 --> 0:16:46.280
<v Speaker 2>High active share. And when you say factors, very high active.

0:16:46.320 --> 0:16:48.840
<v Speaker 2>So you know I should have mentioned this earlier. What

0:16:49.320 --> 0:16:52.200
<v Speaker 2>a lot of people call smart beta, You guys were

0:16:52.240 --> 0:16:55.440
<v Speaker 2>doing long before anyone had a name on it. You've

0:16:55.440 --> 0:16:58.600
<v Speaker 2>been doing smart beta, You've been doing factor investing a

0:16:58.600 --> 0:17:00.920
<v Speaker 2>long time. Tell us a little bit about the sort

0:17:00.960 --> 0:17:03.800
<v Speaker 2>of factor investing that drives Bridgeways returns.

0:17:04.480 --> 0:17:06.840
<v Speaker 3>Well, these are factors that we believe in. First of all,

0:17:08.680 --> 0:17:12.199
<v Speaker 3>some of my co portfolio managers will bristle if you

0:17:12.359 --> 0:17:15.640
<v Speaker 3>refer to us as a factor based firm. I owned

0:17:15.680 --> 0:17:17.960
<v Speaker 3>that a little bit more. But it's a fair point

0:17:18.119 --> 0:17:22.040
<v Speaker 3>in the sense of being systematic, statistically driven over long

0:17:22.080 --> 0:17:26.600
<v Speaker 3>periods of time. But there are human elements, Like if

0:17:26.600 --> 0:17:29.600
<v Speaker 3>there were no human element, everybody would be operating the

0:17:29.680 --> 0:17:33.560
<v Speaker 3>identical strategy out there. So yes, we believe in value.

0:17:33.880 --> 0:17:37.359
<v Speaker 3>We have our own proprietary mix of metrics and we

0:17:37.400 --> 0:17:41.119
<v Speaker 3>can show statistically based on data over decades why we

0:17:41.160 --> 0:17:41.479
<v Speaker 3>do that.

0:17:41.680 --> 0:17:43.760
<v Speaker 2>So let me stop you before you go on to

0:17:43.840 --> 0:17:48.400
<v Speaker 2>the next one. When most people hear value, they immediately think,

0:17:49.040 --> 0:17:53.320
<v Speaker 2>you know, low PE, low price to book ratio. Your

0:17:53.359 --> 0:17:55.960
<v Speaker 2>approach to value, I know, is a little more sophisticated

0:17:56.000 --> 0:17:58.960
<v Speaker 2>than that. Put some flesh on the bones. Tell us

0:17:58.960 --> 0:18:01.800
<v Speaker 2>about Bridgeways value approach.

0:18:02.400 --> 0:18:06.600
<v Speaker 3>So we believe in value, quality, and sentiment, or the

0:18:06.640 --> 0:18:10.199
<v Speaker 3>three primary legs of the stool. Within that, one of

0:18:10.200 --> 0:18:11.919
<v Speaker 3>the things that we've done for a long period of

0:18:11.920 --> 0:18:16.320
<v Speaker 3>time is mix different measures. So and why do we

0:18:16.359 --> 0:18:18.760
<v Speaker 3>do that. It's because it gives you a more stable

0:18:19.560 --> 0:18:23.679
<v Speaker 3>return stream over time. So if it's academically, you know,

0:18:23.800 --> 0:18:27.119
<v Speaker 3>paper when I was in business school came out FAMA

0:18:27.240 --> 0:18:28.040
<v Speaker 3>French and.

0:18:28.080 --> 0:18:30.000
<v Speaker 2>The value factory model factor.

0:18:30.200 --> 0:18:34.000
<v Speaker 3>Yeah, and the three factor then was price to book

0:18:35.000 --> 0:18:38.879
<v Speaker 3>And it's a metric, but we could show statistically that

0:18:38.960 --> 0:18:42.680
<v Speaker 3>if you match it with things like PE, with things

0:18:42.760 --> 0:18:46.000
<v Speaker 3>like price to sales, which has its own part. Think

0:18:46.080 --> 0:18:48.960
<v Speaker 3>through the balance sheet and the income statement, different ways

0:18:49.000 --> 0:18:53.919
<v Speaker 3>to measure value. That putting them together in a efficient

0:18:54.000 --> 0:18:58.640
<v Speaker 3>way gives you a steadier stream of returns into the future.

0:18:59.040 --> 0:19:01.320
<v Speaker 3>So that's why we do that. There's a very interesting

0:19:02.240 --> 0:19:04.679
<v Speaker 3>output of that though, that comes. So I was at

0:19:04.680 --> 0:19:07.960
<v Speaker 3>a conference I don't know, I'm going to say, maybe

0:19:08.000 --> 0:19:11.680
<v Speaker 3>twelve years ago or so, paper presented by NOV marks

0:19:11.720 --> 0:19:16.720
<v Speaker 3>on quality, and he's presently like everybody's excited. I'm excited.

0:19:16.760 --> 0:19:18.440
<v Speaker 3>We go back in. The first thing we all always

0:19:18.480 --> 0:19:20.560
<v Speaker 3>try and to is replicate the work if it's new.

0:19:21.160 --> 0:19:25.160
<v Speaker 3>So we replicated the work we put it into see

0:19:25.200 --> 0:19:27.720
<v Speaker 3>could it help our models, and the answer was no.

0:19:28.000 --> 0:19:29.119
<v Speaker 3>Do you know why the reason was no?

0:19:29.359 --> 0:19:31.879
<v Speaker 2>Because you already had quality.

0:19:31.560 --> 0:19:36.120
<v Speaker 3>And inadvertently we had already included quality in the process.

0:19:36.240 --> 0:19:37.800
<v Speaker 3>Because that doesn't ultimately.

0:19:37.440 --> 0:19:42.320
<v Speaker 2>That doesn't surprise me because you're you're talking about different metrics,

0:19:42.720 --> 0:19:45.280
<v Speaker 2>and when I think about value, and I also think

0:19:45.280 --> 0:19:48.600
<v Speaker 2>about value traps, and I know you cannot generate the

0:19:48.680 --> 0:19:52.399
<v Speaker 2>numbers you have if you're constantly buying stuff that's cheap

0:19:52.880 --> 0:19:56.560
<v Speaker 2>but low quality, high debt, all these other issues that

0:19:56.600 --> 0:20:01.119
<v Speaker 2>come up. Eventually, those things have to underperform. So I

0:20:01.240 --> 0:20:04.640
<v Speaker 2>kind of had the sense that you guys have quality

0:20:04.680 --> 0:20:08.159
<v Speaker 2>exposure just by your long term track record. So you

0:20:08.240 --> 0:20:11.800
<v Speaker 2>reproduce Novi's work. Where do you go from there?

0:20:12.000 --> 0:20:14.199
<v Speaker 3>There's always a next step, Barry. If I take a

0:20:14.240 --> 0:20:18.280
<v Speaker 3>look at just three of our strategies currently, it gives

0:20:18.320 --> 0:20:20.400
<v Speaker 3>you a feel for the breadth of what we do.

0:20:20.480 --> 0:20:24.119
<v Speaker 3>So one would be our small value strategy and you

0:20:24.200 --> 0:20:27.720
<v Speaker 3>might think small value. That seems pretty plain. Vanilla mentioned

0:20:27.760 --> 0:20:30.919
<v Speaker 3>the research on value that we've done. We try and

0:20:30.960 --> 0:20:34.080
<v Speaker 3>incorporate some things and how you incorporate them into the

0:20:34.080 --> 0:20:38.040
<v Speaker 3>portfolio construction where you constrain and where you don't like

0:20:38.080 --> 0:20:40.960
<v Speaker 3>how much are you willing to take on of sector risk?

0:20:41.640 --> 0:20:45.239
<v Speaker 3>But our OMNI small value strategy is a strategy that

0:20:45.280 --> 0:20:49.880
<v Speaker 3>we designed specifically for the purposes of an organization called

0:20:49.920 --> 0:20:55.879
<v Speaker 3>Buckingham or BAM. Then now it's now called Focus Partner's Wealth,

0:20:56.680 --> 0:21:00.280
<v Speaker 3>great friends of ours and our small value OMNIE small

0:21:00.359 --> 0:21:04.600
<v Speaker 3>value fits into their allocation in a way that's efficient

0:21:04.720 --> 0:21:08.800
<v Speaker 3>for their portfolio construction. Now, what's Bridgeways advantage. It's our

0:21:08.880 --> 0:21:12.320
<v Speaker 3>size and this is something that's true across all of

0:21:12.320 --> 0:21:16.200
<v Speaker 3>our strategies currently. We have a huge leg up being

0:21:16.200 --> 0:21:20.560
<v Speaker 3>a smaller organization. Several reasons think of the OMNI small

0:21:20.640 --> 0:21:23.879
<v Speaker 3>value because we're smaller and we don't have hundreds of

0:21:23.920 --> 0:21:28.640
<v Speaker 3>billions under management, we can go deeper on small deeper

0:21:28.880 --> 0:21:31.439
<v Speaker 3>to a degree. Our benchmark is still the Rustle two

0:21:31.480 --> 0:21:36.720
<v Speaker 3>thousand value index, but our strategy is x real estate

0:21:36.760 --> 0:21:43.240
<v Speaker 3>and utilities because our partners focus Wealth Partners has separate

0:21:43.480 --> 0:21:46.879
<v Speaker 3>strategies for that, so we don't duplicate that. And so

0:21:47.000 --> 0:21:49.240
<v Speaker 3>that's an example of the kind of research that we do.

0:21:49.280 --> 0:21:52.360
<v Speaker 3>How does that affect the reterms? Is that a good

0:21:52.400 --> 0:21:56.720
<v Speaker 3>idea to do? But Bridgeway's own small size means that

0:21:57.280 --> 0:22:00.800
<v Speaker 3>we don't have well, it means several things. Really. Number one,

0:22:01.280 --> 0:22:04.959
<v Speaker 3>it means our transaction costs are less, which, based on

0:22:05.040 --> 0:22:08.480
<v Speaker 3>your career, you know exactly the importance of that. So

0:22:08.520 --> 0:22:11.440
<v Speaker 3>if you're a trader and I give you an order

0:22:11.480 --> 0:22:14.480
<v Speaker 3>on a particular stock ticker symbol and say go buy

0:22:14.520 --> 0:22:18.639
<v Speaker 3>me a thousand shares of that, and your job is

0:22:18.680 --> 0:22:21.120
<v Speaker 3>to get this completed at the best price possible. However

0:22:21.119 --> 0:22:23.120
<v Speaker 3>you want to measure it, and I give you one

0:22:23.160 --> 0:22:27.320
<v Speaker 3>ticket for one thousand shares and another ticket for fifty

0:22:27.359 --> 0:22:29.560
<v Speaker 3>thousand shares, but I'm going to hold you accountable to

0:22:29.600 --> 0:22:32.320
<v Speaker 3>the same price. Which one do you want?

0:22:33.040 --> 0:22:35.160
<v Speaker 2>Well? From back in the day, when it was five

0:22:35.200 --> 0:22:38.120
<v Speaker 2>cents a share, you wanted the fifty thousand share order,

0:22:38.160 --> 0:22:41.480
<v Speaker 2>but that's not how you're getting paid. Well, the thousand

0:22:41.480 --> 0:22:44.639
<v Speaker 2>share orders much easier to get done at a good price. Yes,

0:22:44.800 --> 0:22:48.600
<v Speaker 2>fifty thousand shares, especially a small cap, you may move

0:22:48.640 --> 0:22:51.399
<v Speaker 2>the price up. You're certainly not just absolutely lifting the

0:22:51.480 --> 0:22:54.080
<v Speaker 2>offer and walking away with fifty absolute shares.

0:22:54.280 --> 0:22:57.240
<v Speaker 3>So for the investor, you want the smaller one that

0:22:57.280 --> 0:22:59.120
<v Speaker 3>gets done more quickly. If you can get it done

0:22:59.119 --> 0:23:03.560
<v Speaker 3>more quickly, it's more favorable price. You're less likely to

0:23:03.600 --> 0:23:06.680
<v Speaker 3>move the price of the security in an unfavorable way.

0:23:07.320 --> 0:23:12.840
<v Speaker 3>And that same thousand shares will make a more meaningful

0:23:12.920 --> 0:23:15.760
<v Speaker 3>contribution to a smaller shop than to a larger shop.

0:23:15.920 --> 0:23:17.959
<v Speaker 3>Same number of shares is just going to be you know,

0:23:18.000 --> 0:23:20.560
<v Speaker 3>point zero zero one in the portfolio. Why even waste

0:23:20.560 --> 0:23:24.160
<v Speaker 3>your time at Bridgeway. It's more meaningful. That's a big deal.

0:23:24.200 --> 0:23:26.720
<v Speaker 3>And the last part is something that very few people

0:23:26.720 --> 0:23:30.440
<v Speaker 3>I hear talking about, and that's that our effective universe

0:23:31.280 --> 0:23:35.040
<v Speaker 3>is a larger universe. So that gets into our next

0:23:35.040 --> 0:23:38.120
<v Speaker 3>strategy that I'd like to highlight, which is our global opportunities.

0:23:38.160 --> 0:23:40.399
<v Speaker 3>This is a long short strategy. It's glows.

0:23:40.520 --> 0:23:42.520
<v Speaker 2>This is the one that's one hundred percent long one

0:23:42.560 --> 0:23:47.040
<v Speaker 2>hundred percent short. Yes, so less correlation to the market.

0:23:47.359 --> 0:23:51.920
<v Speaker 2>Volatility doesn't matter. If anything, volatility could actually help return

0:23:52.080 --> 0:23:55.359
<v Speaker 2>can So no guarantees, but it could.

0:23:55.600 --> 0:23:59.240
<v Speaker 3>Jacob Pejorni, who who led the research for a two

0:23:59.320 --> 0:24:04.159
<v Speaker 3>year period, resulted in three peer reviewed articles, which for

0:24:04.280 --> 0:24:08.359
<v Speaker 3>firm our size is an astonishing achievement. He likes to say,

0:24:08.960 --> 0:24:15.320
<v Speaker 3>market agnostic. This is long short. The success for us

0:24:15.440 --> 0:24:17.639
<v Speaker 3>is defined as if you know the direction of the

0:24:17.640 --> 0:24:21.040
<v Speaker 3>market tells you nothing about the direction of the returns

0:24:21.040 --> 0:24:21.840
<v Speaker 3>of this strategy.

0:24:21.920 --> 0:24:23.920
<v Speaker 2>Well, if you long short, you should have half the

0:24:24.000 --> 0:24:25.280
<v Speaker 2>volatility of long only.

0:24:25.440 --> 0:24:29.600
<v Speaker 3>Right, that's pretty much right in line with our target. Okay,

0:24:29.800 --> 0:24:30.680
<v Speaker 3>so volatility.

0:24:30.880 --> 0:24:34.080
<v Speaker 2>Is this an absolute return strategy? It is. The assumption

0:24:34.320 --> 0:24:36.960
<v Speaker 2>is you're picking stocks that you think you're going to

0:24:37.080 --> 0:24:41.120
<v Speaker 2>do well, and you're also looking for stocks to short

0:24:41.520 --> 0:24:43.320
<v Speaker 2>that you think you're going to do poorly, and we'll

0:24:43.359 --> 0:24:47.480
<v Speaker 2>do especially poorly. In a draw down, how's that working out?

0:24:48.080 --> 0:24:50.760
<v Speaker 3>It's working out well. This is a big deal in

0:24:50.840 --> 0:24:53.840
<v Speaker 3>terms of the design. A paper that caught my attention

0:24:54.640 --> 0:24:57.680
<v Speaker 3>was following two thousand and eight, and this paper took

0:24:57.720 --> 0:24:59.919
<v Speaker 3>a look at all hedge funds that reported to be

0:25:00.680 --> 0:25:04.080
<v Speaker 3>market neutral, and the bottom line was, most of the

0:25:04.080 --> 0:25:06.199
<v Speaker 3>time they did a pretty good job, but when you

0:25:06.320 --> 0:25:09.040
<v Speaker 3>really needed it, in a downturn of two thousand and eight,

0:25:09.960 --> 0:25:13.200
<v Speaker 3>the beta was zero point four, so about forty percent

0:25:13.320 --> 0:25:16.320
<v Speaker 3>of the downside. Well, it's like, okay, that's cushion, but

0:25:16.440 --> 0:25:19.520
<v Speaker 3>it's not zero. It's not zero, it's not a it's

0:25:19.760 --> 0:25:22.760
<v Speaker 3>neither an anti gravity fund, nor do you expect not

0:25:22.880 --> 0:25:26.840
<v Speaker 3>to be hurt. We've done research on the competition as well,

0:25:26.880 --> 0:25:30.440
<v Speaker 3>and this is fascinating and also just over the last week,

0:25:30.560 --> 0:25:33.800
<v Speaker 3>so we're now, you know, on two days that get

0:25:33.880 --> 0:25:37.560
<v Speaker 3>us close to twenty percent. That's enough to you know,

0:25:38.320 --> 0:25:40.640
<v Speaker 3>run your numbers and see how did they do. Our

0:25:40.800 --> 0:25:45.359
<v Speaker 3>closest competitors to global opportunities have done a much better

0:25:45.440 --> 0:25:49.680
<v Speaker 3>job than quote market neutral funds did back in two

0:25:49.720 --> 0:25:52.760
<v Speaker 3>thousand and eight. All of them within a percent of zero. Well,

0:25:53.000 --> 0:25:55.840
<v Speaker 3>one of them was two percent negative. But out of

0:25:55.880 --> 0:26:00.440
<v Speaker 3>seven strategies that I looked at just earlier today, I

0:26:00.440 --> 0:26:02.160
<v Speaker 3>would say doing a better job.

0:26:03.119 --> 0:26:07.159
<v Speaker 2>I think it was Cliff Astness at AQR had a

0:26:07.200 --> 0:26:11.600
<v Speaker 2>paper out our hedge funds really hedged and Unfortunately, the

0:26:11.680 --> 0:26:14.399
<v Speaker 2>conclusion for a lot of them were not very much.

0:26:14.920 --> 0:26:17.680
<v Speaker 2>And that sounds like it's very consistent with the research

0:26:17.800 --> 0:26:18.240
<v Speaker 2>you guys.

0:26:18.640 --> 0:26:22.720
<v Speaker 3>Well, we specifically designed this not to have the two

0:26:22.720 --> 0:26:25.920
<v Speaker 3>thousand and eight problem identified. But there are a couple

0:26:25.960 --> 0:26:27.879
<v Speaker 3>more areas that we have a huge leg up on

0:26:27.920 --> 0:26:31.360
<v Speaker 3>the competition with a strategy number one. Again, getting back

0:26:31.359 --> 0:26:34.560
<v Speaker 3>to our small size, our universe of stocks is so

0:26:34.640 --> 0:26:35.280
<v Speaker 3>much larger.

0:26:35.840 --> 0:26:38.280
<v Speaker 2>That's both domestic and international.

0:26:37.920 --> 0:26:42.120
<v Speaker 3>Yes, and especially internationally. That's because out of the nine

0:26:42.119 --> 0:26:47.480
<v Speaker 3>thousand or so stocks, significant majority, probably our bigger competitors

0:26:47.560 --> 0:26:49.800
<v Speaker 3>simply can establish a meaningful.

0:26:50.080 --> 0:26:53.160
<v Speaker 2>Position in a competitive advantage.

0:26:53.280 --> 0:26:54.280
<v Speaker 3>Oh it's and it's big.

0:26:54.359 --> 0:26:54.520
<v Speaker 2>Well.

0:26:54.560 --> 0:26:56.960
<v Speaker 3>And by the way, those are the ones that are

0:26:57.440 --> 0:27:01.200
<v Speaker 3>less liquid, less efficient that you are likely to win

0:27:01.400 --> 0:27:03.160
<v Speaker 3>with active management. Huh.

0:27:03.800 --> 0:27:08.479
<v Speaker 2>Really interesting. So we talked earlier about donating tens of

0:27:08.480 --> 0:27:11.160
<v Speaker 2>millions of dollars half of the profits of the firm

0:27:11.600 --> 0:27:17.800
<v Speaker 2>to charity. How does that affect how you recruit employees,

0:27:17.840 --> 0:27:21.080
<v Speaker 2>how you develop a compensation structure. Tell us a little

0:27:21.119 --> 0:27:24.719
<v Speaker 2>bit about the impact of that on running an asset

0:27:24.760 --> 0:27:25.640
<v Speaker 2>management business.

0:27:25.920 --> 0:27:29.159
<v Speaker 3>Sometimes I get into conversation with a prospective client and

0:27:29.200 --> 0:27:32.000
<v Speaker 3>you might hear something like, you know, it sounds like

0:27:32.040 --> 0:27:35.439
<v Speaker 3>you're good guys. You know, you're philanthropically geared and you

0:27:35.480 --> 0:27:37.560
<v Speaker 3>get awards. Is a great place to work. But all

0:27:37.560 --> 0:27:39.439
<v Speaker 3>of that, like, put that aside. I just want to

0:27:39.440 --> 0:27:42.879
<v Speaker 3>talk about the investments. And what I would say is

0:27:43.160 --> 0:27:47.520
<v Speaker 3>culture is everything. It's the housing within which we do

0:27:47.640 --> 0:27:49.520
<v Speaker 3>what we do. So it's very important, and you can

0:27:49.560 --> 0:27:54.480
<v Speaker 3>measure that in some statistical ways like turnover. I would say,

0:27:54.520 --> 0:27:59.200
<v Speaker 3>there are proxies for commitment at Bridgeway and then returns

0:27:59.200 --> 0:28:01.760
<v Speaker 3>of the strategies. Why would you think that's independent of

0:28:01.800 --> 0:28:03.120
<v Speaker 3>the culture that you've built up.

0:28:03.640 --> 0:28:07.919
<v Speaker 2>You also have an internal rule the highest paid employee

0:28:08.040 --> 0:28:10.840
<v Speaker 2>earns no more than seven times the lowest paid employee.

0:28:10.920 --> 0:28:11.440
<v Speaker 2>Is that right?

0:28:12.040 --> 0:28:15.240
<v Speaker 3>So statistically that's probably true. We don't measure it that way.

0:28:15.280 --> 0:28:18.359
<v Speaker 3>There's a new statistic that came out from the sec

0:28:18.640 --> 0:28:21.000
<v Speaker 3>required of public companies and those are some of the

0:28:21.040 --> 0:28:24.480
<v Speaker 3>metrics that we look at currently. Some people think it's like, oh,

0:28:24.520 --> 0:28:27.360
<v Speaker 3>so you underpay. That is absolutely not the intent. It's

0:28:27.480 --> 0:28:30.120
<v Speaker 3>just not to pay outrageous salaries on the top. And

0:28:30.200 --> 0:28:33.199
<v Speaker 3>so you know, if you want to make azill the

0:28:33.280 --> 0:28:36.040
<v Speaker 3>most money that you can make in our industry, you

0:28:36.040 --> 0:28:38.360
<v Speaker 3>probably wouldn't come to Bridgeway if you want to make

0:28:38.360 --> 0:28:42.840
<v Speaker 3>an absolute livable wage and if you invest, save and invest,

0:28:42.920 --> 0:28:47.760
<v Speaker 3>you should do very well over a full career. Then

0:28:48.720 --> 0:28:53.240
<v Speaker 3>then we're purpose driven firm and we ascribe to Daniel

0:28:53.280 --> 0:28:58.240
<v Speaker 3>Pink's what really motivates people is not money, but it's purpose,

0:28:58.440 --> 0:29:03.120
<v Speaker 3>which we have in strong Suit. It's autonomy and it's mastery.

0:29:03.280 --> 0:29:06.680
<v Speaker 3>So we really invest in our people by way of mastery,

0:29:06.920 --> 0:29:10.760
<v Speaker 3>give them opportunities for learning and growth, invest by way

0:29:10.800 --> 0:29:15.960
<v Speaker 3>of mentoring as well, and then the autonomy piece we're

0:29:16.200 --> 0:29:19.000
<v Speaker 3>trying to continually up our game with in a system

0:29:19.000 --> 0:29:22.640
<v Speaker 3>of structure called traction or entrepreneurial operating system.

0:29:23.880 --> 0:29:29.600
<v Speaker 2>And the firm's culture also emphasizes accountability. Tell us about

0:29:29.600 --> 0:29:31.600
<v Speaker 2>the Firewood Group. What does that do?

0:29:33.160 --> 0:29:37.080
<v Speaker 3>Okay? So the Firewood Group is a personal accountability group

0:29:37.080 --> 0:29:40.680
<v Speaker 3>that's not inside Bridgeway. And what happened is in nineteen

0:29:40.760 --> 0:29:42.240
<v Speaker 3>ninety eight a friend of mine came to me and

0:29:42.240 --> 0:29:44.040
<v Speaker 3>he said, so, I want you to be on the

0:29:44.040 --> 0:29:46.880
<v Speaker 3>board of directors. And he worked for a publicly held firm.

0:29:46.920 --> 0:29:49.440
<v Speaker 3>But he was like, Charlie, I like, you're not in

0:29:49.480 --> 0:29:51.560
<v Speaker 3>a position to ask me on that board, and I

0:29:51.600 --> 0:29:54.080
<v Speaker 3>don't know squad about that industry And he said, no, no,

0:29:54.120 --> 0:29:59.240
<v Speaker 3>not the company board, the board of directors of my life.

0:29:59.320 --> 0:30:01.160
<v Speaker 3>And he said, well, what does that look like? You

0:30:01.240 --> 0:30:06.080
<v Speaker 3>never heard of that. Out of that came the following observation.

0:30:06.680 --> 0:30:09.200
<v Speaker 3>We were each members of groups that were great at

0:30:09.240 --> 0:30:12.760
<v Speaker 3>support but lousy it accountability, and we both knew we

0:30:12.800 --> 0:30:16.680
<v Speaker 3>needed accountability. So we formed this group specifically around the

0:30:16.720 --> 0:30:20.320
<v Speaker 3>concept of accountability. And just to give you a very

0:30:20.320 --> 0:30:23.200
<v Speaker 3>specific example, I had a life goal of ending genocide.

0:30:24.360 --> 0:30:27.920
<v Speaker 3>This group starts, and you know, I'm sharing life goals like, well,

0:30:28.000 --> 0:30:29.880
<v Speaker 3>you've made great progress on this one and this one,

0:30:29.920 --> 0:30:31.560
<v Speaker 3>but we don't. We think it's time for you to

0:30:31.560 --> 0:30:34.200
<v Speaker 3>actually turn the ignition on on this one. Out of

0:30:34.240 --> 0:30:37.440
<v Speaker 3>that conversation, we turned the ignition on on our foundation

0:30:37.600 --> 0:30:42.920
<v Speaker 3>and everything that you see that Shannon Davis is doing

0:30:43.040 --> 0:30:44.520
<v Speaker 3>along with our partners.

0:30:44.880 --> 0:30:48.760
<v Speaker 2>That's really fascinating. And I would assume if the founder

0:30:48.800 --> 0:30:53.360
<v Speaker 2>and CEO has that degree of accountability in his personal life,

0:30:54.000 --> 0:30:57.280
<v Speaker 2>how does that then affect the culture of the organization.

0:30:58.360 --> 0:31:01.800
<v Speaker 2>How do you bring your work ethic and your sense

0:31:01.800 --> 0:31:03.800
<v Speaker 2>of accountability into the office.

0:31:04.480 --> 0:31:07.040
<v Speaker 3>Well, I like to think that I modeled it. Number one.

0:31:07.160 --> 0:31:10.880
<v Speaker 3>Number two, we attract people for whom that's an exciting concept.

0:31:11.360 --> 0:31:13.800
<v Speaker 3>And number three, then you've got to actually live it out.

0:31:14.280 --> 0:31:18.560
<v Speaker 3>And that's where aspects of this structure that I call

0:31:18.640 --> 0:31:22.240
<v Speaker 3>traction or some people call entrepreneurial operating system come into play.

0:31:22.520 --> 0:31:25.880
<v Speaker 3>There's an annual goal setting process and most companies have that,

0:31:26.520 --> 0:31:29.360
<v Speaker 3>the ninety day goals that they refer to as rocks.

0:31:29.520 --> 0:31:33.040
<v Speaker 3>There's a very high level of commitment toward It's like

0:31:33.520 --> 0:31:35.160
<v Speaker 3>when you take on that I'm going to do this

0:31:35.200 --> 0:31:37.600
<v Speaker 3>in the next ninety days, everybody is looking at its

0:31:37.680 --> 0:31:40.800
<v Speaker 3>very high profile. It's online. We have to report to

0:31:41.080 --> 0:31:45.200
<v Speaker 3>all of the partners the leadership team's experience, and then

0:31:45.400 --> 0:31:48.680
<v Speaker 3>every partner at Bridgeway, that's every person that has a

0:31:48.880 --> 0:31:51.560
<v Speaker 3>long term commitment to and front Bridgeway, has to do

0:31:51.600 --> 0:31:52.240
<v Speaker 3>the same thing.

0:31:52.960 --> 0:31:55.560
<v Speaker 2>So when I talk about accountability, one of the things

0:31:55.600 --> 0:32:01.120
<v Speaker 2>I was thinking about is the company's annual report where

0:32:01.400 --> 0:32:04.680
<v Speaker 2>you guys kind of own your biggest mistakes, tell us

0:32:04.720 --> 0:32:06.160
<v Speaker 2>about that.

0:32:06.160 --> 0:32:08.480
<v Speaker 3>That's something we started, I don't know, maybe a year

0:32:09.000 --> 0:32:14.600
<v Speaker 3>four or five, and it comes around accountability. The normal

0:32:14.600 --> 0:32:17.720
<v Speaker 3>thing is this in business or in government or academy

0:32:17.840 --> 0:32:21.400
<v Speaker 3>or journalism anywhere. You know you want to learn from

0:32:21.400 --> 0:32:23.760
<v Speaker 3>your mistakes, but you don't want to own them too publicly,

0:32:24.080 --> 0:32:27.520
<v Speaker 3>right it doesn't feel good. People might ask the wrong question.

0:32:27.800 --> 0:32:31.080
<v Speaker 3>We had a lawyer member of our board of directors

0:32:31.120 --> 0:32:32.880
<v Speaker 3>at the time that said, you do realize you're like

0:32:32.960 --> 0:32:35.800
<v Speaker 3>putting on a silver platter something that people could sue

0:32:35.880 --> 0:32:39.080
<v Speaker 3>you over. And my answer to that is like, yeah,

0:32:39.160 --> 0:32:41.560
<v Speaker 3>I get that, that's true, but you can't cut it

0:32:41.600 --> 0:32:44.880
<v Speaker 3>both ways. You either have to own your mistakes, get

0:32:44.920 --> 0:32:47.080
<v Speaker 3>them out in the open, learn from them and make

0:32:47.120 --> 0:32:49.480
<v Speaker 3>sure you don't repeat them, or you sweep them in

0:32:49.600 --> 0:32:51.800
<v Speaker 3>under a rug. And you just can't do both, and

0:32:51.840 --> 0:32:56.080
<v Speaker 3>I choose the former. Our shareholders are investors, our clients

0:32:56.840 --> 0:32:59.960
<v Speaker 3>are our boss. We have a fiduciary duty to them.

0:33:00.040 --> 0:33:03.280
<v Speaker 3>And I had one an early client say, you do realize,

0:33:03.280 --> 0:33:07.360
<v Speaker 3>like I'm your boss and there's accountability there. I should

0:33:07.360 --> 0:33:10.160
<v Speaker 3>know what's really going on. And I'm like, I can't

0:33:10.280 --> 0:33:13.360
<v Speaker 3>argue with that. That is a brilliant statement. This woman,

0:33:13.360 --> 0:33:15.760
<v Speaker 3>by the way, didn't have a high school degree, and

0:33:15.800 --> 0:33:17.680
<v Speaker 3>I learned so much from her.

0:33:18.160 --> 0:33:21.760
<v Speaker 2>Huh, really really fascinating. So let's talk a little bit

0:33:21.800 --> 0:33:25.440
<v Speaker 2>about what's going on in the marketplace. There has been

0:33:25.680 --> 0:33:29.720
<v Speaker 2>a shift over the past twenty thirty years too passive

0:33:29.840 --> 0:33:36.280
<v Speaker 2>from active, especially from expensive underperforming active. I don't put

0:33:36.320 --> 0:33:39.840
<v Speaker 2>you guys in that category. You've done well, your fees

0:33:39.920 --> 0:33:42.440
<v Speaker 2>are are kind of middle of the road. How you

0:33:42.840 --> 0:33:45.640
<v Speaker 2>navigating what's going on in the marketplace?

0:33:46.040 --> 0:33:49.080
<v Speaker 3>A few things that I can point to. Number one

0:33:49.160 --> 0:33:51.800
<v Speaker 3>is you always have to keep working to stay ahead

0:33:51.840 --> 0:33:54.920
<v Speaker 3>of the game and adding value, and that's the research part.

0:33:55.640 --> 0:33:58.400
<v Speaker 3>So we like to say small incremental improvements, but it

0:33:58.440 --> 0:34:03.400
<v Speaker 3>never stops. Number two, we were an early adapter of

0:34:04.120 --> 0:34:09.359
<v Speaker 3>moving some mutual funds converting them into ETFs, so we've

0:34:09.400 --> 0:34:12.480
<v Speaker 3>done that. That was painful because it's costly. Out the

0:34:12.520 --> 0:34:15.560
<v Speaker 3>other side, it's been helpful for the after tax return

0:34:15.760 --> 0:34:20.480
<v Speaker 3>of the shareholders, so big plus there. And those strategies

0:34:20.480 --> 0:34:23.280
<v Speaker 3>are both in positive flows, so good for the advisor

0:34:23.680 --> 0:34:26.520
<v Speaker 3>as well. And the last one is, you know, don't

0:34:26.520 --> 0:34:29.200
<v Speaker 3>make indexing and passive the enemy. What can you learn

0:34:29.200 --> 0:34:32.919
<v Speaker 3>from them? So Bridgeway actually came to market with our

0:34:33.680 --> 0:34:36.960
<v Speaker 3>blue chip strategy. To really be an index fund, you

0:34:37.000 --> 0:34:40.480
<v Speaker 3>have to have somebody else calculating it, and there are

0:34:40.480 --> 0:34:43.840
<v Speaker 3>all rules, and we decided we weren't willing to do that.

0:34:43.880 --> 0:34:46.400
<v Speaker 3>We just wouldn't call it an index fund anymore. But

0:34:46.480 --> 0:34:51.799
<v Speaker 3>it's a megacap strategy that gets off of what I

0:34:51.840 --> 0:34:56.080
<v Speaker 3>think of as the inefficient market cap waiting portfolio construction

0:34:56.200 --> 0:34:59.040
<v Speaker 3>of almost every index fund, not absolutely all of them,

0:34:59.040 --> 0:35:02.560
<v Speaker 3>but we have more than a quarter century real time

0:35:02.719 --> 0:35:04.920
<v Speaker 3>data like this has been a mutual fund. Now it's

0:35:04.920 --> 0:35:08.600
<v Speaker 3>an ETF converted. You can look at that track record

0:35:08.640 --> 0:35:11.520
<v Speaker 3>and draw your own conclusions. But I like to say

0:35:11.600 --> 0:35:14.560
<v Speaker 3>market cap weighting is like a momentum strategy that you

0:35:14.719 --> 0:35:17.600
<v Speaker 3>never rebalance, so you ride the wave up and then

0:35:17.640 --> 0:35:20.160
<v Speaker 3>you write it down, and that's just not very efficient.

0:35:20.200 --> 0:35:25.279
<v Speaker 3>That leads to more volatility. This strategy, on average, has

0:35:25.800 --> 0:35:29.279
<v Speaker 3>different ways to measure it. Beta standard deviation draw down

0:35:29.800 --> 0:35:33.600
<v Speaker 3>of very roughly five percent less than a market cap

0:35:33.640 --> 0:35:38.000
<v Speaker 3>weighted index of a broad index like the S and

0:35:38.080 --> 0:35:42.040
<v Speaker 3>P five hundred, So a little bit less risk, we believe,

0:35:42.400 --> 0:35:44.880
<v Speaker 3>not in every market environment. But you can measure it

0:35:44.960 --> 0:35:48.359
<v Speaker 3>over the long term in last decade for example, and

0:35:48.400 --> 0:35:51.200
<v Speaker 3>then a little bit more return. And why is that

0:35:51.640 --> 0:35:54.640
<v Speaker 3>it's roughly equal weighted, which means you're always investing a

0:35:54.719 --> 0:35:58.279
<v Speaker 3>little bit more in what's done poorly and harvesting a

0:35:58.320 --> 0:36:02.279
<v Speaker 3>little bit from what's done really well. That's bilos sell high.

0:36:02.520 --> 0:36:04.640
<v Speaker 3>Isn't that a basic investing principle?

0:36:05.760 --> 0:36:06.120
<v Speaker 1>That's just.

0:36:07.760 --> 0:36:10.000
<v Speaker 2>That sort of rebalancing is one of the few free

0:36:10.040 --> 0:36:14.760
<v Speaker 2>launches in finance. So if you're not doing market cap waiting,

0:36:15.360 --> 0:36:18.520
<v Speaker 2>and you're talking about blue chip companies, how you're waiting

0:36:18.520 --> 0:36:19.279
<v Speaker 2>the portfolio.

0:36:19.800 --> 0:36:23.240
<v Speaker 3>So we look at the top thirty five thirty six companies,

0:36:23.280 --> 0:36:26.360
<v Speaker 3>We make sure that we've got industry representation at the

0:36:26.360 --> 0:36:30.839
<v Speaker 3>time of recomposition, and then we're rebalancing quarterly and reinvesting

0:36:30.840 --> 0:36:34.280
<v Speaker 3>dividends along the way, and I'll say roughly equal weighting,

0:36:35.320 --> 0:36:40.400
<v Speaker 3>so there's some cushion on harvesting from the top. It

0:36:40.440 --> 0:36:43.479
<v Speaker 3>can go up. Our rule of thumb is about four

0:36:43.520 --> 0:36:46.160
<v Speaker 3>percent is the maximum weight and a strategy. So if

0:36:46.680 --> 0:36:51.839
<v Speaker 3>Apple or Microsoft or somebody else is eight percent of

0:36:52.520 --> 0:36:55.719
<v Speaker 3>an underlying market cap weighted US index, we're going to

0:36:55.760 --> 0:36:57.719
<v Speaker 3>be half of that. But it gives you a more

0:36:57.760 --> 0:37:01.520
<v Speaker 3>diversified fund in me a cap stocks, which gives you

0:37:02.200 --> 0:37:06.640
<v Speaker 3>some of the downside protection and some of the risk characteristic.

0:37:06.160 --> 0:37:08.520
<v Speaker 2>Well, as we've seen in year to date in twenty

0:37:08.600 --> 0:37:12.800
<v Speaker 2>twenty five, the mag seven have become the lag seven. Yes,

0:37:12.920 --> 0:37:16.400
<v Speaker 2>so not being full market cap weight certainly had to

0:37:16.400 --> 0:37:20.839
<v Speaker 2>have a positive impact on returns. What happens when those

0:37:20.880 --> 0:37:24.600
<v Speaker 2>stocks are doing great? How comfortable do you feel if

0:37:24.640 --> 0:37:29.200
<v Speaker 2>you're not full market weight of in Nvidia, Apple, Amazon, Microsoft,

0:37:29.320 --> 0:37:31.040
<v Speaker 2>as as they're going higher and higher.

0:37:31.120 --> 0:37:33.920
<v Speaker 3>That's the discipline of any investment process in the design.

0:37:34.040 --> 0:37:37.520
<v Speaker 3>So know the design of what you're investing in, know

0:37:37.680 --> 0:37:40.200
<v Speaker 3>when it's likely to outperform and when it's not, and

0:37:40.239 --> 0:37:44.080
<v Speaker 3>then you need to be comfortable with those numbers. But

0:37:44.200 --> 0:37:46.560
<v Speaker 3>in that strategy you pointed out exactly when it would

0:37:46.600 --> 0:37:49.759
<v Speaker 3>you know, underperform when the top seven you know, and

0:37:50.000 --> 0:37:53.160
<v Speaker 3>you know there're the nifty fifty back in the well.

0:37:53.280 --> 0:37:55.680
<v Speaker 2>You and I remember the nifty to fifty in the sixties.

0:37:55.800 --> 0:37:59.719
<v Speaker 2>Half our listeners are unfamiliar with them. But people talk

0:37:59.760 --> 0:38:04.000
<v Speaker 2>about out the Magnificent seven like it's something new. Yes,

0:38:04.080 --> 0:38:06.800
<v Speaker 2>it's fifty sixty years old. We have the same sort

0:38:06.840 --> 0:38:12.000
<v Speaker 2>of top heavy market happen when everybody clamoring into the

0:38:12.040 --> 0:38:16.719
<v Speaker 2>same sort of blue chips. Yes, being weighted on a

0:38:16.840 --> 0:38:21.120
<v Speaker 2>non capitalization basis, having other elements drive the waiting, how

0:38:21.120 --> 0:38:22.600
<v Speaker 2>do you manage around that?

0:38:23.040 --> 0:38:28.640
<v Speaker 3>As a disciplined investment shop. We have everything documented in detail.

0:38:28.880 --> 0:38:32.080
<v Speaker 3>So there are four portfolio managers on every strategy at Bridgeway.

0:38:32.160 --> 0:38:34.719
<v Speaker 3>In theory, any one of the four can step in

0:38:34.800 --> 0:38:37.520
<v Speaker 3>and do that job, one because they're trained to do so,

0:38:37.600 --> 0:38:40.799
<v Speaker 3>but two because they have documentation of how to do it.

0:38:41.440 --> 0:38:44.280
<v Speaker 3>In this case blue Chip, I mentioned there's a quarterly

0:38:44.320 --> 0:38:49.080
<v Speaker 3>rebalancing process. There's instructions exactly how you rebalance, how you

0:38:49.160 --> 0:38:52.080
<v Speaker 3>take care of unusual situations, which might be a merger,

0:38:52.400 --> 0:38:56.000
<v Speaker 3>an acquisition, a spin off. Now a company and you

0:38:56.120 --> 0:38:58.480
<v Speaker 3>in the portfolio is no longer one of the top

0:38:59.560 --> 0:39:02.400
<v Speaker 3>thirty five, thirty six by size, so what do you

0:39:02.440 --> 0:39:04.960
<v Speaker 3>do about that? So those are the kinds of exceptions

0:39:05.000 --> 0:39:09.200
<v Speaker 3>that you document, and otherwise it's fairly straightforward.

0:39:09.600 --> 0:39:13.640
<v Speaker 2>What you're describing sounds like a very systematic process to

0:39:13.640 --> 0:39:17.919
<v Speaker 2>evaluate securities and build a portfolio. Tell us a little

0:39:17.920 --> 0:39:20.600
<v Speaker 2>bit about the things that go into that system.

0:39:21.760 --> 0:39:24.920
<v Speaker 3>Let me shift gears back to global opportunities, which is

0:39:25.520 --> 0:39:27.680
<v Speaker 3>which gives you more the full breadth of how we

0:39:27.719 --> 0:39:30.520
<v Speaker 3>do what we do with respect to stock selection and

0:39:30.560 --> 0:39:34.000
<v Speaker 3>portfolio construction. The stock selection side, as I mentioned, you're

0:39:34.040 --> 0:39:39.560
<v Speaker 3>combining factors of value, quality, and sentiment. However, that's within

0:39:39.640 --> 0:39:44.320
<v Speaker 3>a framework of intangible capital intensity. And what that's intangible

0:39:44.560 --> 0:39:48.760
<v Speaker 3>capital intensity? Yes, so are these things like intellectual property,

0:39:48.880 --> 0:39:53.279
<v Speaker 3>patents excesses exactly? Okay, So high intangible capital would be

0:39:53.360 --> 0:39:56.960
<v Speaker 3>exactly the things you mentioned research and development. If you

0:39:57.080 --> 0:39:59.640
<v Speaker 3>rank them by industry, things that flow to the top

0:39:59.680 --> 0:40:05.000
<v Speaker 3>would be the pharmaceuticals, AI software things at the other

0:40:05.080 --> 0:40:09.879
<v Speaker 3>end of the spectrum would be things like manufacturing, transportation utilities.

0:40:10.520 --> 0:40:13.600
<v Speaker 3>So you think of old economy stocks and new economy

0:40:13.600 --> 0:40:16.279
<v Speaker 3>stocks as another way to think about them. But we're

0:40:16.320 --> 0:40:21.759
<v Speaker 3>measuring literally ranking these according to intangible capital intensity. The

0:40:21.920 --> 0:40:25.640
<v Speaker 3>high in tangible capital intensity ones don't work real well

0:40:25.640 --> 0:40:29.880
<v Speaker 3>with the classic measures of value. For example, what we

0:40:29.960 --> 0:40:33.960
<v Speaker 3>found is that sentiment is a stronger predictor of future

0:40:34.120 --> 0:40:37.759
<v Speaker 3>returns for those so we don't only use centiment. We're

0:40:37.760 --> 0:40:40.239
<v Speaker 3>always using the combination, but we're going to overweight the

0:40:40.239 --> 0:40:44.440
<v Speaker 3>sentiment part of that. So we have these three categories

0:40:44.440 --> 0:40:48.120
<v Speaker 3>of factors underneath, which, as I mentioned before, multiple ones

0:40:48.440 --> 0:40:52.360
<v Speaker 3>in the framework of intangible capital intensity, which is original

0:40:52.400 --> 0:40:55.480
<v Speaker 3>research that Bridgeway did over a couple of year period

0:40:55.520 --> 0:40:59.200
<v Speaker 3>and published papers on. That's the overall framework. Then you've

0:40:59.200 --> 0:41:02.600
<v Speaker 3>got in this particular strategy, it's global, and we like

0:41:02.680 --> 0:41:06.239
<v Speaker 3>to be neutral exposure on things that we don't care

0:41:06.239 --> 0:41:09.000
<v Speaker 3>about or aren't in the design, and positive on the

0:41:09.000 --> 0:41:10.600
<v Speaker 3>ones that we do. So what do we not care

0:41:10.640 --> 0:41:13.960
<v Speaker 3>about sectors? So we're always trying to move back to

0:41:14.080 --> 0:41:17.240
<v Speaker 3>it to be sector neutral, which means the same dollars

0:41:17.960 --> 0:41:20.360
<v Speaker 3>on the long side as you have on the short side.

0:41:20.560 --> 0:41:27.120
<v Speaker 3>Similarly with sectors, sectors, countries, certain factors. Book value, for example,

0:41:27.120 --> 0:41:29.520
<v Speaker 3>as a classic one. Don't like that one as much.

0:41:30.440 --> 0:41:33.399
<v Speaker 3>It's problematic for reasons that we relate well.

0:41:33.400 --> 0:41:37.640
<v Speaker 2>Book value doesn't really it tends to measure physical plants exactly,

0:41:37.600 --> 0:41:40.360
<v Speaker 2>and so it much more heavily and IP kind of

0:41:40.400 --> 0:41:42.000
<v Speaker 2>gets the short shrift there.

0:41:41.800 --> 0:41:45.040
<v Speaker 3>Yes, exactly. So what that means is the industries that

0:41:45.080 --> 0:41:48.759
<v Speaker 3>are on the low capital intensative part of the spectrum

0:41:49.080 --> 0:41:52.120
<v Speaker 3>tend to do fine with the classical measures of value.

0:41:53.000 --> 0:41:55.440
<v Speaker 3>So you can see you put all that together, you

0:41:55.600 --> 0:41:59.360
<v Speaker 3>constrain the portfolio according to certain things that you don't

0:41:59.400 --> 0:42:02.319
<v Speaker 3>want it to be exposed to. People come and say, oh,

0:42:02.360 --> 0:42:05.040
<v Speaker 3>global opportunities, that's got China. I don't want any China.

0:42:05.160 --> 0:42:06.960
<v Speaker 3>Well at any one point in time, we might be

0:42:07.560 --> 0:42:11.720
<v Speaker 3>a percent or possibly even too positive exposure to China

0:42:11.880 --> 0:42:15.600
<v Speaker 3>or negative exposure to China. On average, we're targeting that

0:42:15.880 --> 0:42:18.640
<v Speaker 3>zero percent, so you're not going to get any value

0:42:18.680 --> 0:42:21.719
<v Speaker 3>add over the long term. Shouldn't be coming from the

0:42:21.800 --> 0:42:24.840
<v Speaker 3>actual country or the sector. It should be the specific

0:42:24.880 --> 0:42:28.839
<v Speaker 3>factors that we're trying to give exposures to, and that

0:42:29.000 --> 0:42:33.239
<v Speaker 3>leads to a much steadier stream of returns.

0:42:33.560 --> 0:42:37.640
<v Speaker 2>That's really intriguing. So I've always kind of thought of

0:42:37.680 --> 0:42:40.400
<v Speaker 2>you as sort of a factor shop, sort of a

0:42:40.480 --> 0:42:44.120
<v Speaker 2>value shop, sort of a quand shop, a little bit

0:42:44.120 --> 0:42:47.600
<v Speaker 2>of everything. Is that a fair Is that a fair description?

0:42:47.880 --> 0:42:51.680
<v Speaker 2>I don't want to overgeneralize, but you guys do a

0:42:51.760 --> 0:42:53.080
<v Speaker 2>little bit of a lot of things.

0:42:53.200 --> 0:42:56.120
<v Speaker 3>Yes, I would say that that's true. The one thing

0:42:56.160 --> 0:42:58.160
<v Speaker 3>that you left out, which is the hard piece and

0:42:58.200 --> 0:43:03.120
<v Speaker 3>a significant part of our time, is qualifying the data.

0:43:03.160 --> 0:43:06.080
<v Speaker 3>Cleaning the data, especially on the global side. Data is

0:43:06.120 --> 0:43:08.760
<v Speaker 3>cleaner in the large caps on the US side, for sure.

0:43:09.040 --> 0:43:12.960
<v Speaker 3>And also the model assumptions. There's certain assumptions built into

0:43:13.000 --> 0:43:16.120
<v Speaker 3>the model. You get a strong pick. Are the reasons

0:43:16.160 --> 0:43:19.320
<v Speaker 3>that those picks of a model come to the surface,

0:43:20.280 --> 0:43:23.080
<v Speaker 3>ones that really hold true in the marketplace. Is there

0:43:23.120 --> 0:43:26.560
<v Speaker 3>something that you don't know, for example, regulations that have

0:43:26.680 --> 0:43:29.239
<v Speaker 3>just come out in a country that are going to

0:43:29.360 --> 0:43:34.320
<v Speaker 3>change the earnings and financial characteristics that you care about

0:43:35.280 --> 0:43:38.120
<v Speaker 3>with a particular model. So that's part of the work

0:43:38.200 --> 0:43:41.800
<v Speaker 3>and the scrubbing, and you know, that's why we chafe

0:43:41.800 --> 0:43:44.920
<v Speaker 3>a little bit when people say, oh, you're just a

0:43:44.960 --> 0:43:46.400
<v Speaker 3>smart beta shop.

0:43:47.040 --> 0:43:50.000
<v Speaker 2>Clearly there's a lot more going on than just smart beta.

0:43:50.080 --> 0:43:52.160
<v Speaker 2>All right, I only have you for a limited amount

0:43:52.200 --> 0:43:56.000
<v Speaker 2>of time, so let's jump to our favorite questions we

0:43:56.160 --> 0:43:59.359
<v Speaker 2>ask all of our guests, starting with what's been keeping

0:43:59.440 --> 0:44:02.160
<v Speaker 2>you entertained these days? What are you watching or listening to?

0:44:02.680 --> 0:44:06.280
<v Speaker 3>One of my favorite recent ones was actually a South

0:44:06.440 --> 0:44:14.040
<v Speaker 3>Korean series called The Extraordinary Attorney Wu, and it's a

0:44:14.239 --> 0:44:19.160
<v Speaker 3>fascinating study about a woman who's an adult autistic, brilliant

0:44:19.680 --> 0:44:23.239
<v Speaker 3>person in a law firm in South Korea and her

0:44:23.320 --> 0:44:28.719
<v Speaker 3>experiences navigating a non autistic world and the adjustments that

0:44:28.760 --> 0:44:31.759
<v Speaker 3>people do and don't try and make assumptions that people make.

0:44:32.880 --> 0:44:34.520
<v Speaker 3>You know, you might think that has nothing to do

0:44:34.600 --> 0:44:38.560
<v Speaker 3>with investing, But the assumptions side and the statistic side,

0:44:38.600 --> 0:44:42.920
<v Speaker 3>and then the human interaction side, and the behavioral side

0:44:43.000 --> 0:44:46.400
<v Speaker 3>is all right there. That's one of my top recently.

0:44:46.120 --> 0:44:49.680
<v Speaker 2>Really really interesting. Let's talk about mentors who helped to

0:44:49.840 --> 0:44:51.000
<v Speaker 2>shape your career.

0:44:51.560 --> 0:44:55.520
<v Speaker 3>Several had a mentor that passed away last year, Henry

0:44:55.520 --> 0:45:01.520
<v Speaker 3>GROPPI SoundBite from him was respect all people, all the time,

0:45:02.320 --> 0:45:06.040
<v Speaker 3>no exceptions. And it's that last piece that's really challenging.

0:45:07.080 --> 0:45:09.240
<v Speaker 3>So I'm going to put him as a top mentor.

0:45:09.440 --> 0:45:14.560
<v Speaker 3>Had some at MIT advisors there who taught me never

0:45:14.640 --> 0:45:17.400
<v Speaker 3>come to my office just bringing problems. Always try and

0:45:17.400 --> 0:45:22.279
<v Speaker 3>bring solutions when you can. People that have engaged on

0:45:22.280 --> 0:45:25.640
<v Speaker 3>a human level within these that didn't have to. Some

0:45:25.719 --> 0:45:28.800
<v Speaker 3>of the better things that I've learned Jack Bogel, certainly

0:45:28.840 --> 0:45:32.799
<v Speaker 3>on the cost and structure side, a little gritty, which

0:45:32.840 --> 0:45:34.200
<v Speaker 3>is I like, I think that's fun.

0:45:35.000 --> 0:45:38.720
<v Speaker 2>Those are some of momentors really interesting. Let's talk books.

0:45:38.800 --> 0:45:40.720
<v Speaker 2>What are some of your favorites? What are you reading

0:45:40.800 --> 0:45:41.280
<v Speaker 2>right now?

0:45:41.880 --> 0:45:45.360
<v Speaker 3>Right now, I'm reading two books. One is called People

0:45:46.320 --> 0:45:51.200
<v Speaker 3>Dare to Build an Intentional Culture. So you can imagine

0:45:51.200 --> 0:45:54.040
<v Speaker 3>why that would be attracted to me. Chapter two of

0:45:54.040 --> 0:45:56.640
<v Speaker 3>that book is about love. We don't tend to use

0:45:56.680 --> 0:45:59.600
<v Speaker 3>the word love. And workplace they say, well, and more

0:45:59.600 --> 0:46:05.960
<v Speaker 3>accepted word might be genuine caring, and so we think

0:46:06.000 --> 0:46:08.560
<v Speaker 3>a lot about that. We play the Simon Senek game

0:46:08.640 --> 0:46:11.719
<v Speaker 3>of why is why is that important? And underneath that,

0:46:11.800 --> 0:46:13.680
<v Speaker 3>why is that important? If you play that game at

0:46:13.719 --> 0:46:16.120
<v Speaker 3>Bridgeway of why you're doing what you're doing and get

0:46:16.120 --> 0:46:20.920
<v Speaker 3>to a core value, caring frequently comes out among different people,

0:46:21.040 --> 0:46:25.640
<v Speaker 3>board members, partners at Bridgeway. The other book is Jason

0:46:25.640 --> 0:46:30.399
<v Speaker 3>Swig's recent update on The Intelligent Investor. I'm halfway through

0:46:30.440 --> 0:46:32.719
<v Speaker 3>that one. It's it's a thick read because it's really

0:46:32.719 --> 0:46:35.520
<v Speaker 3>two books. It's in Benjamin Graham's book and it's Jason

0:46:35.520 --> 0:46:39.919
<v Speaker 3>Swigg's commentary on it. It's great and not too long ago.

0:46:39.960 --> 0:46:43.680
<v Speaker 2>I saw you mentioned, was it Dan Arawle's The Truth

0:46:43.719 --> 0:46:45.080
<v Speaker 2>About Dishonesty? Yes?

0:46:45.160 --> 0:46:47.759
<v Speaker 3>Right, that's one of my favorite. It might be it

0:46:47.840 --> 0:46:51.200
<v Speaker 3>might be a decade old now, but wonderful book on

0:46:52.000 --> 0:46:56.239
<v Speaker 3>humility in statistics and in non statistics.

0:46:56.800 --> 0:47:00.359
<v Speaker 2>And our final two questions, what sort of advice would

0:47:00.400 --> 0:47:03.799
<v Speaker 2>you give to a recent college grad interested in a

0:47:03.880 --> 0:47:06.360
<v Speaker 2>career in either investing or finance.

0:47:06.800 --> 0:47:10.640
<v Speaker 3>I actually had this opportunity just yesterday. It was somebody.

0:47:10.680 --> 0:47:12.520
<v Speaker 3>I'm going to guess he was about twenty five years

0:47:12.560 --> 0:47:17.160
<v Speaker 3>old and early stage in his career. And my advice is,

0:47:17.600 --> 0:47:21.640
<v Speaker 3>people scare you away when it's a declining industry or

0:47:21.680 --> 0:47:25.040
<v Speaker 3>not declining, but where feet pressure is increasing. So the

0:47:25.080 --> 0:47:28.960
<v Speaker 3>feed pressure has been very strong, different ways to measure it.

0:47:29.000 --> 0:47:32.040
<v Speaker 3>But you know, fees are less than half of what

0:47:32.080 --> 0:47:35.160
<v Speaker 3>they were a dozen years back, and that scares a

0:47:35.160 --> 0:47:38.560
<v Speaker 3>lot of people away. Within that, there's a lot of change,

0:47:38.840 --> 0:47:42.720
<v Speaker 3>and within the change there are strategic opportunities. And because

0:47:42.719 --> 0:47:45.280
<v Speaker 3>it doesn't attract as many people think supply and demand,

0:47:45.360 --> 0:47:48.040
<v Speaker 3>there are great they're kind of even bigger than normal

0:47:48.080 --> 0:47:51.480
<v Speaker 3>mature company opportunities and not as many people coming in.

0:47:51.600 --> 0:47:53.640
<v Speaker 3>You can make a big difference in that environment. I

0:47:53.680 --> 0:47:56.319
<v Speaker 3>think it's fun and fascinating. I would definitely choose this

0:47:56.800 --> 0:47:58.760
<v Speaker 3>as a career if I were doing it all over again.

0:47:59.280 --> 0:48:01.920
<v Speaker 2>And our final question, what do you know about the

0:48:01.960 --> 0:48:05.160
<v Speaker 2>world of investing today that would have been useful back

0:48:05.200 --> 0:48:08.720
<v Speaker 2>in nineteen ninety three when you were first launching the firm.

0:48:09.280 --> 0:48:12.280
<v Speaker 3>Wow, I was a contrarian by nature, but I didn't

0:48:12.400 --> 0:48:19.440
<v Speaker 3>understand the dynamics of chasing hot returns and panicking and downturns.

0:48:20.320 --> 0:48:24.719
<v Speaker 3>Understanding that dynamic better would have helped, not because not

0:48:24.800 --> 0:48:30.040
<v Speaker 3>personally but professionally. It would have given some good insights

0:48:30.480 --> 0:48:35.120
<v Speaker 3>for the individual investor. I would say, build your portfolio

0:48:35.719 --> 0:48:39.719
<v Speaker 3>and learn how to not pay attention in the downturns.

0:48:39.760 --> 0:48:41.880
<v Speaker 3>If it's long term money. And by the way, if

0:48:41.880 --> 0:48:43.239
<v Speaker 3>it's not long term money, you shouldn't have it in

0:48:43.280 --> 0:48:45.920
<v Speaker 3>the stock market. So it's assuming it is long term money.

0:48:46.360 --> 0:48:48.520
<v Speaker 3>The only price you really care about is the last

0:48:48.520 --> 0:48:51.040
<v Speaker 3>price when you want to take the money out, and

0:48:51.040 --> 0:48:54.040
<v Speaker 3>that wasn't last week or this week. Ever, whether it's

0:48:54.120 --> 0:48:57.360
<v Speaker 3>up or down, there's volatility in between. All those numbers

0:48:57.400 --> 0:48:59.759
<v Speaker 3>are irrelevant. All you need to know is the last

0:48:59.760 --> 0:49:01.680
<v Speaker 3>one the first day. You're going to know that number

0:49:01.920 --> 0:49:04.480
<v Speaker 3>his years in the future when you're actually gonna need it.

0:49:04.560 --> 0:49:08.919
<v Speaker 2>Huh, Absolutely fascinating. We have been speaking with John Montgomery,

0:49:09.400 --> 0:49:13.919
<v Speaker 2>founder of Bridgeway Capital. If you enjoy this conversation, well,

0:49:14.000 --> 0:49:16.879
<v Speaker 2>be sure and check out any of the previous five

0:49:16.960 --> 0:49:19.800
<v Speaker 2>hundred or so we've done over the past ten years.

0:49:20.239 --> 0:49:24.800
<v Speaker 2>You can find those at iTunes, Spotify, YouTube, Bloomberg, wherever

0:49:24.880 --> 0:49:29.080
<v Speaker 2>you find your favorite podcast. Check out my new book

0:49:29.320 --> 0:49:34.120
<v Speaker 2>How Not to Invest. The Ideas, numbers and behavior that

0:49:34.239 --> 0:49:37.520
<v Speaker 2>destroys wealth and how to avoid them, how not to

0:49:37.600 --> 0:49:41.239
<v Speaker 2>invest wherever you get your favorite books. I would be

0:49:41.320 --> 0:49:43.200
<v Speaker 2>remiss if I did not thank the correct team that

0:49:43.280 --> 0:49:47.560
<v Speaker 2>helps put these conversations together each week. My audio engineer

0:49:47.640 --> 0:49:51.839
<v Speaker 2>is Sam Danziger. Sean Russo is my researcher. Ana Luke

0:49:51.960 --> 0:49:56.160
<v Speaker 2>is my producer. I'm Barry Ritolfs. You've been listening to

0:49:56.320 --> 0:50:03.080
<v Speaker 2>Masters in Business on Bloomberg Radio