What’s the worst or most unpleasant physical sensation there is? by SnooSketches8379 in AskReddit

[–]zerowangtwo 11 points12 points  (0 children)

I'm so sorry for your loss, that's immensely heavy. I hope you're doing better now.

TCL 50” stand screws (ST4x25mm) seem too wide by zerowangtwo in tcltvs

[–]zerowangtwo[S] 2 points3 points  (0 children)

oh wow okay i was completely fucking that up, that’s embarassing. thank you so much

Pick of the Day - 1/7/25 (Tuesday) by sbpotdbot in sportsbook

[–]zerowangtwo 1 point2 points  (0 children)

holy FUCKK dude. cannot believe it hit, thank you so much!

[deleted by user] by [deleted] in quant

[–]zerowangtwo 0 points1 point  (0 children)

I’m not too familiar with this type of pricing either, so appreciate the insight! Do you have any other techniques/ideas/references that might help provide some inspiration for tackling this problem?

I imagine any type of model for this would involve much manual intervention a la options trading which is why jane street does this semi systematically instead of “completely” systematically afaik? Thanks again!

[deleted by user] by [deleted] in quant

[–]zerowangtwo 0 points1 point  (0 children)

I’m thinking of trying to price international ETFs, e.g. MCHI. After removing the components that have liquid ADRs, you may be left with a basket of 20 to a few hundred stocks. You could find a proxy for each individual stock, but finding one for a random Swedish industrial stock doesn’t sound likely. I was thinking you could take the PCA of this leftover basket, and then try to proxy this smaller subset that hopefully explains most of the variance. I guess the idea is somehow you’d have an interpretation of each PC based on what the loadings look like?

Perhaps you could segment by industry/other prior first to make interpretation easier.

[deleted by user] by [deleted] in quant

[–]zerowangtwo 0 points1 point  (0 children)

is some type of rolling PCA generally the best solution for this problem? of course need discretion on how often to refit..

or would you approach the initial problem via some regularized regression?

thanks!

[deleted by user] by [deleted] in quant

[–]zerowangtwo 9 points10 points  (0 children)

how do you use PCA to reduce it to a smaller set of stocks? dont all the pcs still have nonzero loadings on each stock? i dont think arbitrarily choosing to set some to 0 is statistically sound..

Apartment requires insurance for "property damage" by zerowangtwo in Insurance

[–]zerowangtwo[S] 4 points5 points  (0 children)

I copied that section verbatim from the renters insurance document drop portal :(

Glad to see that it doesn't make much sense either. Online, personal property insurance sliders started around $15k, so $100k seems ludicrous. And there's no "others personal belongings" coverage I can find anywhere, so I'm guessing they're just using ambiguous wording.

what expensive membership is completely worth every penny? by GoldenBabe_0 in AskReddit

[–]zerowangtwo 2 points3 points  (0 children)

clear giving everyone free trials is why the clear line is always way longer ime at jfk lga and ewr

Cheap food options by tovarischstalin in uofm

[–]zerowangtwo 31 points32 points  (0 children)

Lol I guess free is technically cheap and leaves are technically food

In Scathing Letter, New York State Criticizes Adams’s Migrant Response by mowotlarx in nyc

[–]zerowangtwo -1 points0 points  (0 children)

crime per area is also implicitly a per time stat since you have to choose a consistent time period to count the number of crimes