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
And I found that subsegment really interesting because we did studies on kind of decision making biases, human biases like loss aversion and other biases that impact otherwise what should be rational decisions and make them less than rational. And I did a lot of options math, which I thought was interesting. Absolutely.
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. We built a company that was focused on valuation, initially, actually targeting corporate strategic planning departments.
I got the sense that, so Churnin takes 51% for a fairly modest valuation, 10 or $15 million. That, that gives Barstool a half a billion dollar valuation. And they had a belief at the time of driving growth profitably whereby you could organically acquire customers. Was it a loss? And that was really the end of that.
So I, I did a math degree at Oxford, which is more pure math. You know, pure math can be very theoretical and detached from the real world, and it’s getting worse. And they go on longer and longer and obviously more profitable for the states that run the lottery. And then I was looking for something more applied.
And I was a math nerd as a kid. They announced a $640 million loss and ouch. But if, if it has a history of not being profitable, you you really want to exclude that. The visibility on earnings they grew but they stayed profitable as, as they grew. So big loss. So I took that. That was real money. Real money.
I’m good at math and science and you know, I always had an idea what go into business, but I felt that electrical engineering would be a good foundation. You know, I, it always, I I see different numbers all the time, so it’s always kinda like, who’s math if you will? 00:02:16 [Speaker Changed] Me too.
And so, so we sort of felt pretty stupid for a while because we did a lot of losing trades in 2006 that were the, you know, that obviously didn’t come to fruition until the actual people could see the losses. So in mortgages, the borrower can stop paying maybe a year to two years before the lenders actually book a loss.
And, you know, therein began, I think the unraveling and, and a little bit of the, the loss of that, you know, cultural juice that had kind of historically made that firm special. 00:31:40 [Speaker Changed] So there’s the emotions and then there’s the math, right? I don’t wanna experience loss. Just extreme.
ASNESS: Some of the things like betting against beta, quality or profitability, carry strategies were additions over time. ASNESS: And we had a great almost a decade, because everything else we do work, profitability one; fundamental, momentum one; low risk one. ASNESS: There are a few reasons. RITHOLTZ: Okay. RITHOLTZ: Past decade.
And I, and I really like the application of math and statistics and computer science to markets. You learn the math that can help you with, with market making operations. It’s just not smart on a math basis to do that. And I just caught the bug. Become options market makers. You learn the technology.
Jeffrey Sherman : Well, what it was was, so I, as I said, with applications, there’s many applications of math, and the usually obvious one is physics. Barry Ritholtz : It seems that some people are math people and some people are not. The, the math came easier. And I really hated physics, really. It’s so true.
We organize all of the trending information in your field so you don't have to. Join 39,000+ 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