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Sherman oversees and administers DoubleLine’s investment management subcommittee; serves as lead portfolio manager for multisector and derivative-based strategies; and is a member of the firm’s executive management and fixed-income assetallocation committees. He is host of the podcast The Sherman Show and a CFA charter holder.
So I took it upon myself to go off and took a course in bond math, took another course in derivatives and realized the underlying fundamental concepts were barely, I mean, it wasn’t even high school math in most cases. So you’re Chief Investment officer of Asset and Wealth Management. Is that more or less right?
We've talked just a couple of times about the market becoming increasingly concentrated which just in terms of math means that a diversified strategy will lag for as long as the big names do well.
That is difficult to pull off but if you do the math on that it shows long term outperformance. That is not guessing what markets will do, that is just managing assetallocation and cash needs. Remember, the peak in the S&P 500 in October, 2007 was 1565. Then it more than cut in half but is now at 4400.
Again just using simple math, this presumes the par value will roll over each month and reinvest at the same rate to get to the annual yield. Consider your objectives Before making an assetallocation decision, always keep in mind what you’re trying to accomplish. Compare that to the stated yield of 5.6% 467% a month.
She has a really fascinating background, very eclectic, a combination of math and law. You, you get a, a BS in Mathematics and a JD from Boston University Math and Law. It is something, math has always come easy to me since a child. I didn’t get an advanced degree in math. We also do assetallocation and overlays.
The topics covered are personal finance math, retirement problems, introduction to mutual funds, the concept of fund & NAV, equity schemes, debt funds, investing in bonds, index funds, rolling returns, Exchange-traded funds(ETF) and basics of macroeconomics. You can enroll in the course here.
Assetallocation matters. So using simple math, the total return is 34% versus 72% for the common. The more effort you expend, like frequent trading or in CALPERs case, frequent policy changes, the more you're are fighting against the market's ergodic potential. That's not a call to do nothing. adds another 22.5%
We’d look at the assetallocations of their portfolios and whether they’re tax-deferred, tax-exempt, or taxable. The math is the easy part, but James and Pamela have never really had a conversation on what their dream will look like—or even to what extent they both share it. So—problem solved, right? Well, actually, no.
One, one is true and I’ve always said is that I wanted people to stop, ask if I could doing math. And no one asked me if I can do math anymore with a degree from Booth, particularly in econometrics and statistics. So people really ask you, you take French and can you do math. It depends on your assetallocation.
I’d say management consulting is any of the other thing that least at that time was the other career trajectory, just my personality, more of a math oriented introvert. And actually Ben Inker is the head of our assetallocation group. We, we call assetallocation at GMO. Learn math, learn history.
Math Matters. I did okay in school and was educated on many different topics, including the basic principle that math matters. Source: Calafia Beach Pundit. This notion rings especially true when it comes to finance and investing.
This math explains why we shouldn’t be surprised when the market remains “irrational” far longer than seems possible. But we aren’t at all surprised when someone does win , even though the individual winner is shocked at his or her good fortune. In fact, much of what happens is highly improbable. But we are.
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. They will earn that market return less, whatever they’re paying. You don’t need to analyze every month spending in quicker.
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 forget that there weren’t personal computers on everybody’s desk back then.
I — I loved math, but really, I was going to go down that literature route more than anything else and — and study Spanish literature. Everyone wants to — which is so intuitive now, but we became a lot more tactical with some of our allocations. Of course, we have strategic assetallocations, strategic portfolios.
Once you have your assetallocation dialed in, your automatic contributions dialed in, all the basics, then you can move on. Have I managed my assetallocation and my investment fees? It’s much deeper than math. And they do that for 35 years tweaking numbers I go you won, you won the game. Am I paid well?
So there’s been a big push for folks to get the appropriate level of assetallocation in a highly diversified, low cost way. So what was challenging for me was like, actually, when we moved to the US when I was seven years old, I was always good with math, but my English was below average.
They’re assetallocation model driven folks. And I was always good at math and, and I had been writing code since I was in the sixth grade. Is that 00:21:39 [Speaker Changed] Patient cap do, do they have the bandwidth to, Hey, we’re, we’re in this for decades at 00:21:44 [Speaker Changed] Time?
I’m kind of in intrigued by the idea of philosophy and math. So I found myself getting kind of bored with my math problem sets, and then I could shift to philosophy and then go back and forth. 00:01:29 [Barry Ritholtz] I I, I try not to butcher people’s names, but let’s talk a little bit about your, your background.
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. 01:02:36 All the math tells us we should not buy high dividend yield stocks.
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.
Or should this be kept out of private assetallocators’ hands? So, it’s not one of these fuzzy math situations where you don’t really know what the value of the fund is because it’s got private companies in it that are being marked by individuals who have an ax to grind in the mark.
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