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The math behind Universal Life Insurance Interest Rates is a twisted web and most consumers are deceived. Know how the math works so you can see the potential risks that may exist with your policy. This correction was updated in 2020 with AG 49A and again in May 2023 with AG49B. Don’t be fooled! appeared first on Sara Grillo.
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. I didn’t know what any of these terms meant. And I thought, great, I just made partner.
And from a public market, that sounds like it’s a compliance and conflict nightmare. And you know, the only thing math works on recognition by peers, and there’s some prizes. And yet, the amount of math that’s been produced over the last, you know, few decades is just mind-blowing extraordinary. There you go.
00:21:42 [Speaker Changed] Yeah, I mean, I think, well, what set us up was we, you know, we got the low right in 2020 for the right reasons. So we were very aggressive in 2020 and 2021. And nobody paid him any attention back in 2020. So right, because we agreed with Professor Siegel in April of 2020. And we did.
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. I did it during the coronavirus collapse in 2020, and I did it again in 2022. They will earn that market return less, whatever they’re paying.
And I did the math, and I think at that point in time, roughly speaking, assets in ETS were roughly just 10 percent, 12 percent of assets in mutual funds and I was pretty convinced that that number was to increase significantly. 2020 was a huge year. You know, we had a really good 2020. BERRUGA: Yeah. 21, were up 28 percent.
We all know that a 55% hit rate is the top decile across the industry, and the maths above demonstrates why. We have both of these potential investments on our Ready-to-Buy list, and both had gotten to within 10% of prices where we thought they represented very good value in the past few years (Nvidia in Oct 2022, Novo Nordisk in Dec 2020).
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. So any compliance people listening, I’m just spitballing here. That’s Barry saying it.
Tell us a little bit about what you do on Twitter and how was it getting that through legal and compliance? RIEDER: Well, first of all, anything I tweet goes through legal and compliance before it gets out there, first part. How are we doing in literacy versus math versus science? I use immense amount of data and analysis.
SEIDES: But market returns across — RITHOLTZ: The past decade, 2010 to 2020, we were what? Let me say what your compliance wouldn’t allow you to say. RITHOLTZ: So hold the duration risk aside with those two, but just for an investor in treasuries, I know you’ve done the math before. SEIDES: It’s lower.
And so if you compare that to today, if you remember Oaktree raised $15 billion fund in 2020, on its own. For example, you talk about the 2020 distressed cycle, and it’s interesting to me that it was so short, so shallow. If you think of the biggest bankruptcy in 2020 was Hertz. So the magnitude is not even comparable.
The prime-age employment-population ratio is 80.6%, matching the highest recorded in the last cycle in January 2020, when the economy appeared to be in pretty good shape (pre-COVID). It indicates that more people are working and want to work than at any point between 2001 and 2020. in October 2023).
I mean, obviously, 2020 and 2021 and 2022, we’re still in the midst of, but is there still an echo of ’08-’09 today? And so it’s one of these things that math works. Tell us about Math for America that seeks to improve math education in US public schools. We’re still enjoying that.
ASNESS: Well, I was striving for uncorrelated, but then the compliance officer in my head is saying sometimes it doesn’t come out to zero all the time. And it’s really not a compliance reason, I hope it’s more of an intellectual honesty reason. My mom was a math teacher so — RITHOLTZ: Okay. ASNESS: Yes.
And I, and I really like the application of math and statistics and computer science to markets. You know, you run an RIA, the SEC just comes knocking every once in a while to say, Hey, just wanna make sure the compliance program’s all set up. You learn the math that can help you with, with market making operations.
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. What, what was your experience during the first quarter of 2020 during the pandemic s and p down 34%. What was the career plan?
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.
Um, case anybody that says anything, non-compliant, compliance tracks that also the watch list is just sort of fun. I started my own podcast in March 10th of 2020. So this is the math that I applied. So think about this, do the math. We’re up from the lows at the end of March 2020. I have a car list.
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