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10 Tuesday AM Reads

The Big Picture

My Two-for-Tuesday morning train WFH reads: • Stock Pickers Never Had a Chance Against Hard Math of the Market : In years like this one, when just a few big companies outperform, it’s hard to assemble a winning portfolio. 2000-2003 Dotcom implosion 6. Businessweek ) but see With cash earning 5%, why risk money on the stock market?

Insurance 130
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Assessing Altria and Tobacco Fundamentals Five Years After the Peak

Fortune Financial

It is no coincidence, for example, that the two most recent periods of major tobacco underperformance in the last several decades have been driven largely by a huge compression in multiples, the result of serious litigation (1998 – 2003) and regulatory (2017 – present) challenges.

Math 52
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Transcript: Julian Salisbury, GS

The Big Picture

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. RITHOLTZ: They just became distressed.

Assets 293
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Transcript: Luis Berruga, Global X ETFs

The Big Picture

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. And I always use the exact same example, how will you invest in Google in 1998, or in Facebook in 2003?

Clients 157
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The Better Letter: October is the Best Month

The Better Letter

My family and I were evacuated in 2003 due to the Cedar Fire. As Charley Ellis famously demonstrated , investing and life more broadly are loser’s games much of the time, with outcomes dominated by luck rather than skill and high transaction costs. If we avoid mistakes we will generally win. The coolest. The silliest. The oddest.

Math 68
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Transcript: Mike Green, Simplify Asset Management

The Big Picture

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. She was based out in Los Angeles.

Assets 167
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Transcript: Colin Camerer on Neuroeconomics

The Big Picture

Colin Camerer : So I, some of it was when I was in college at Johns Hopkins, I, I studied physics and math. And there was people, Physics didn’t have, people, psychology didn’t have math, economics was kind of the right mix. The math doesn’t math. That was too abstract. Yeah, I’m gonna vote.

Economics 144