This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
My own track record at making big calls is pretty damned good, but none of our clients wants me slinging around their retirement monies based on my gut instinct. Hence, the less it matters, the less actual capital is on the line, the easier it is to make those bold calls. I sure as hell don’t want to either. More on this later.
They are a publicly traded investment manager, stocks symbol DHIL, that have been public since day one since 2016. 00:12:42 [Speaker Changed] I think it absolutely should be the norm because it is generally what our clients are seeking. And so that’s not something that every client is willing to tolerate.
Notably, between 2000 and 2016, U.S.-based STEM (science, technology, engineering and math) funding is steadily declining—a dynamic that potentially opens the door for China to gain ground on the AI innovation front. has commanded the majority of AI activity over the past two decades.
Notably, between 2000 and 2016, U.S.-based STEM (science, technology, engineering and math) funding is steadily declining—a dynamic that potentially opens the door for China to gain ground on the AI innovation front. has commanded the majority of AI activity over the past two decades.
We are in the rejection business and the statistics are stark as to how we should be very careful whenever investing our clients’ hard-earned dollars. We all know that a 55% hit rate is the top decile across the industry, and the maths above demonstrates why. We believe that avoiding losers is more important than finding big winners.
Buffett likes Tim Sloan, who became CEO at Wells after the sales incentive revelations in 2016, and his efforts to fix those past mistakes. Buffett noted that the math of the buyback would get even better if Apple’s shares went down (but not its intrinsic value), something people often misunderstand.
Buffett likes Tim Sloan, who became CEO at Wells after the sales incentive revelations in 2016, and his efforts to fix those past mistakes. Buffett noted that the math of the buyback would get even better if Apple’s shares went down (but not its intrinsic value), something people often misunderstand.
And given the design of the product and the client need, we’re trying to meet, we look for the best possible active manager to fill that mandate. And it speaks to the clients that we serve and the way we think about product development and, and all of the rest of it. It’s probably down to 22 or 23 now. Really interesting.
But the numbers you can’t argue with, I mean, we all know that the brutal math of investing before costs investors collectively will earn the market return after costs. 00:29:38 [Speaker Changed] So, humble Dollar was launched right at the end of 2016. They will earn that market return less, whatever they’re paying.
ANAT ADMATI, PROFESSOR OF FIANCE AND ECONOMICS, STANFORD GRADUATE SCHOOL OF BUSINESS: So, my journey starts where I took a lot of math. I was good in math and I love the math. So, I was kind of, in my romantic mind when I was in my early 20s, I was going to take but not give back to math, that kind of thing.
00:03:14 [Mike Greene] So that was actually an outgrowth from my experience coming out of Wharton and you mentioned the, the, you know, the transition of people who tended to be skilled at math or physics into finance. And those folks are very often my clients. Very few people want to quote unquote, get onto a smartphone.
I, I somehow found myself invited to a MSN client retreat that Joanne was running. And we wanted to, I really wanted them to move beyond the blog at, at, when I got to Barstool in 2016, it was, it was predominantly a blog operation. 00:40:26 [Speaker Changed] They, they know, they know math, they know math.
SHAW: My wife and I decided to move to Tennessee back in 2016. RITHOLTZ: Why is it not surprising that a math nerd is also a placekicker? That student can help me build and invest, and find opportunities and generate alpha, and bring more clients into my business. SHAW: Well, it’s pure geometry. RITHOLTZ: Right.
BRYANT: So money, unlike math, money is highly emotional. I mean, there’s 50,000 kids in the Atlanta public school system, so you can do the math there. BRYANT: We’ve had over 4 million clients, and we have 245 locations in 46 states. BRYANT: No, these are just my clients who happen to be working at TSA.
They have $37 billion in clients and their own funds, of which they have invested across a variety of disciplines from credit to strategic capital, as well as taking companies private and helping them grow into something more substantial than they’ve been in the past. They’re advising clients. RITHOLTZ: Oh, really?
So, I did the math, 20 million times a hundred. So, let me just repeat the math. And so, again, I went through this simple math. I lost $900 million with my client’s money and these are the people that I got around and tried to convince to invest in Russia. How many do you have in your fleet? They said, seven years.
Because he was all sure he was a totally isolated math. So, so he’s brilliant at math. He goes to m i t to study, study physics and math. So brilliant enough so that sure, he goes to math camp in the summer and find, kind of finds his tribe. But in math camp, he’s not the best. And the Undoing project.
RITHOLTZ: So wait, you’re, I’m trying to do the math, if you were 24 in ‘08, so you got this watch in 2000, 99? That came out in 2016. He gave me his Omega Speedmaster, which is a really nice watch. When I was 16 years old, it was my only nice watch. CLYMER: Yes, around there, I would say. That was the big thing.
So this is the math that I applied. So think about this, do the math. But, but for other people, we have, we have clients who’ve sold businesses. LINDZON: If you return your cash in 2016, we returned some cash in Robinhood in 2016, very early, but say those LPs bought Bitcoin. It’s meaningless.
You’re doing a lot of math in your head on the Fly. I’m doing, I’m doing an awful lot of math in my head on the fly. Goldman had clients on the other side. They were trying to make their clients a ahead price and get hedged, and they were gonna walk away from the trade. Oh, really?
That’s why the markets are much more of a mind game than a math game. And that’s why markets will always be exceedingly hard, even when the math seems easy or the future seems certain. 2 At Bank of America, rate strategist Meghan Swiber was telling clients to prepare for a plunge in U.S. Stop with the math.`
We organize all of the trending information in your field so you don't have to. Join 36,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content