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Quantіan Profile picture
@quantian1
Dec 13, 2021 • 5 tweets • 2 min read • Read on X
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Student loan debt in America: the angle is proportional to the number of people with debt in that range, the area is proportional to the total value of debt in that range. The top 10% of borrowers have half the debt, a Gini coefficient of 62%. Image
Everyone complaining about this visualization: Image
Enough! I relent, and will bow to the crass taste of the masses. I have added in the % of total debt and changed it to a soft baby-friendly pastel color scheme, so the babies whining about it in my mentions will finally shut up. Image
(As an aside, you may ask: Why is this the default color scheme? As everyone knows, Mathematica's design choices were handed down by Allah to Stephen Wolfram and contains no errors. In this case, the default orange/blue shading is visually distinct for all colorblind individuals) Image
Ok, one last thing: based on the 2021 data, if you gave everyone blanket forgiveness of up to $ X, here's what fraction of borrowers would be extinguished and what your total cost would be. ImageImage

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More from @quantian1

Quantіan Profile picture
Dec 12
A zero employee single manager fund runs somewhere between $500k and $1mm per year in expenses like audit, admin, legal/formation costs nowadays, so $50mm is the minimum for *you* to draw a paycheck, let alone employ a team, without eating performance fees for ~all of comp.
Once you have launched, institution interest evaporates because giving money to a nonexistent fund is way easier than a fund w/ a 4 month track, so you need to tough out 3 years minimum to get calls, and then they’ll bitch about scalability because you were managing HNWI money
In practice, if you want to acquire the accoutrements of institutional hedge fund life- an office, a team, a good PB, ISDA, etc., you need at least $100mm of fee paying AUM, which translates to more like $150 or $200 because various people will want deals and discounts to invest
Read 5 tweets
Quantіan Profile picture
Mar 23
Not to pick on this guy in particular, but there is a great deal of misinformation floating around re: DWAC. Fortunately for you all, I spent today reading the S-1, and as a SPAC expert I can confidently answer the question of “can Trump sell Monday” with a firm “idk, maybe?”
Here is their lock-up agreement, I’ve attached a screenshot of the relevant sections. Formal disclaimer that everything that follows is neither legal nor financial advice, I may have positions in securities mentioned, do your own research, etc. sec.gov/Archives/edgar…
Image
This is pretty boilerplate, as far as these things go, which it of course is because SPACs mostly just use a standardized template. The three major conditions are as follows: can’t sell until the EARLIEST of: six months, five months of the price is above $12, or they get bought Image
Read 8 tweets
Quantіan Profile picture
Nov 11, 2023
I just attended a talk on the mathematics of diffusion image generation models and it blew me away. Takeaways:
1. The math is very “simple”
2. In fact, it’s so simple that this method *shouldn’t really work*
3. The fact it does says something very fundamental about the universe
The basic idea is you define a stochastic process X_t, where dX_t = a(t,X)dt + b(t,X)dW_t. Let X_0 be random noise and X_1 be, eg, vector of RGB values for an image. Interpolate and add noise to generate a sample X_t, do this for many images, and then you can “learn” a() and b()
To generate a new image, you simply pick a new vector of random noise and evolve forward your newly discovered SDE until you reach t=1, at which point you have a perfectly sensible image if you’ve done your job right, modulo various finicky fine-tuning bits.
Read 9 tweets
Quantіan Profile picture
Aug 7, 2023
Since it's Sunday and I'm bored, I figured I would finally, definitively answer the question of "why do people think the economic is bad (and is that the case?)". This is because it is easy to answer, and the answer is funny and will make many people mad.
First of all, we will ignore everyone on Twitter and look at objective data, in this case the University of Michigan's consumer survey asking what people think economic conditions are. Spoiler: People think the economy is very bad, worse than any time other than 1980 and 2008! Image
Ok, now let's think of all the variables that might cause them to think that and build a model. I picked the following:
Inflation rate
Inflation rate change
Unemployment
Unemployment change
Housing prices
Real wages
Dollar strength
Interest rates
Stock prices
and went from there
Read 14 tweets
Quantіan Profile picture
Jun 26, 2023
Junior data scientist interview question: Assume you generate points X = N(0,1); Y = N(0,0.1). Rotate the (x,y) dataset 45 degrees, so they look something like pic below (line is y = x). If you were to calculate the OLS regression y = b1*x + b0, what is E[b1] as n->infinity? Image
(this question and the answer were previously buried in my replies, don't cheat or i will bully you for it)
The responses to this were bifurcated between “this is a hard question no one would get” and “this is a trivial question everyone should get ”. Surely if “data scientist” means anything, it means you should be able to answer basic linear algebra and mathematical stats questions!
Read 4 tweets
Quantіan Profile picture
Mar 6, 2023
As I strive to provide #content for my followers, I typed up my ratings from this weekend. Of the 200+ wines I tasted, ~150 were producer samples of guaranteed quality, and ~100 of those were reds (I don't drink enough white burg to have an opinion). Editorializing to follow:
The scoring method was just A+ to F, since it needed to be simple enough to be robust to me getting smashed over the course of the tastings, since I didn't spit. The older wines were Friday, all the 2020s were Saturday.
It is probably not surprising that Dujac, Hudelot-Noellat, Salon, etc. had the best wines. However, I was very impressed with the Robert Chevillon NSG wines, and the Didier Fornerol regional appellations punched way above their weight. Denis/Arnaud Mortet was also great.
Read 5 tweets

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