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
We, we made in 2005, I believe. That 00:15:42 [Speaker Changed] Was first AI investment, 2005. He said, I overpaid for the asset. So here’s the math, Barry. It’s hard to know which assets are going to have durable value. Fair Cast was an investment, a series B investment. Listen to this, Barry.
You mentioned in the beginning of the book lower asset yields and richer asset prices have pulled forward future returns. So, starting yields of all major assets were coming down in the last decade and last decade — actually, several decades. RITHOLTZ: Really quite interesting. Explain that. RITHOLTZ: Right.
But there’s also a lot of, like at Wittel, you know, I was at Wachtel in 2005 to 2007, so really near the peak of a big merger’s boom. So like a component of it was like the standard derivatives math, right? And so like, you know, I got there and I learned derivatives math, right? And I love that.
You can go get some turnkey asset management program. We’re in the business of sitting in between asset owners, financial advisors, institutions, retail and asset managers, right, the BlackRock, State Street, PIMCO’s of the world, and helping them understand each other. That is a mug’s game, right?
I want to get into that before we start talking about asset management. So I, I did a math degree at Oxford, which is more pure math. 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.
No income, no job, no assets were exactly ninja, Sean Dobson : No pulse seems reasonable. We see it as, like I said, about 50 million assets and we’re modeling up the value of every home in the country, every, every week, basically. And in the 2000 at the 2005 conference, it’s kind of wild.
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. Asset management group had made an argument and then the investment bank says, he works here, and then the emerging market people say, what about us, and it was going on and on.
This was the era, 2005, 2006, all of my friends were looking to get banking roles. And I, and I really like the application of math and statistics and computer science to markets. But as it turns out, the reason that asset manager was able to raise so much money was because they had taken signals. It was truly a throwaway name.
RITHOLTZ: 2004, 2005. RITHOLTZ: 2005. Why wouldn’t you, you can buy a fintech assets for 90, 90 cents off the dollar. So the VCs were like, we got to go after the assets under management. So this is the math that I applied. LINDZON: Yes. And So now flash forward to, you know, I’m a hedge fund guy.
I think that the asset stripping that has also occurred, pensions, for instance, are sold off, overfunded pensions get sold off and that goes into the private equity firm instead of into the company itself. Or should this be kept out of private asset allocators’ hands? And this was back in 2005 or 2006. Kind of a thing.
When I look back at 2005, ’06, ’07, yeah, those growth stocks that collapsed from way too high, probably were too low. And I’m like, “Well, if Bob Shiller is putting on the seatbelts, maybe he’s done the math, maybe I should be wearing a seatbelt in the back of the car.” SIEGEL: Yes. RITHOLTZ: There you go.
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. To find the answer, CXO collected and investigated 6,584 forecasts from 2005-2012 for the 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