Bonjour, j'habite dans un appartement au rez de chaussée, assez humide. J'ai acheté un déshumidificateur que je laisse tourner en continu mais l'odeur d'humidité reste encore (sûrement incrustée) dans les murs. Le problème est que cette odeur s'incruste dans mes vêtements et je ne l'aime vraiment pas. Que puis-je faire pour eviter que mes vetements ne sentent cette odeur ?
Merci
Hi, i'm new to poker been playing for a few weeks and learned that you should never open limp, and should generally not limp. Either 3BB bet or fold. I know the idea behind is to rule out people with speculative hands that can then hit a big hand on a weak flop. However, I was wondering if it was okay to limp if you know that your table tends to not raise pre flop and you have the speculative hand ?
I made my first smoothie bowl this morning (delicious), but it cost me my 3 year old blender that i bought for like 40 bucks out of amazon. Buy it nice or buy it twice I guess. There's a second-hand ninja foodi (CB350EU) in my area for like 60% of retail price. The model is from 2022 and was used roughly once a week and is therefore out of warranty. I was wondering if it was worth splurging the 40% more to get a brand new model with warranty and if it lasts for years ? I'd like to try the buy it nice approach this time. Thank you for your help!
Hi,
I'm currently interning as a quant analyst on a market risk team because the bank I work for is considering entering the cryptocurrency derivatives space. My initial mission is to model crypto options' vol surfaces, but pretty much no one in my team has worked on this before (I know this is odd, they're more on the credit risk/XVA side). Information is quite scarce on the web given how everything is proprietary so I thought I would ask here:
What vol surface model is generally used for market making of vanilla options (in the FX space)? I'm evaluating eSSVI which guarantees no arbitrage, but find worst results than SABR, which is stochastic and should therefore not fit as well as a parametric model. However, the SVI family was initially made for equities, and the crypto smile looks more like the smile we can observe in FX markets.
What metrics are used to evaluate the fit of such surfaces, and how do you know when you've fit it well enough? Gatheral uses vega-weighted MSE in vol space, which makes sense from an economic perspective, but leads to underfitting of the wings. I've developed a sort of hybrid objective function between vega weighted mse and iv-mse based on moneyness to fit the wings better, and it seems to work on a metric that I invented (maybe?) which therefore might not make sense, which is the spread hit rate. (I essentially calculate the amount of points of my smile inside of the bid ask spread observed on the market). I get results in line with expectations as SVI averages ~94% hit rate, and eSSVI averages ~75%, but SABR averages around 83%. On vwrmse in vol space, i also outperform the classic vega-weighted objective function. However, here, eSSVI is between [0.83:1.17] error in IV points for all snapshots calibrated. SABR's median error is lower, but with huge spikes to roughly 25 points of error. I am not sure which metric I should be looking at to conclude. I believe it should be relative so the framework can be used across different coins or regimes. Should it also be vega weighted ?
Even though SABR is not a surface model, I include penalty terms to push it towards a non-arbitrageable surface by introducing penalties when there is butterfly and/or calendar arbitrage. Even with this, it outperforms eSSVI on spread hit rate. Options on cryptos are have futures as the underlying, so I understand why SABR works well, but I don't see why it performs better than eSSVI, which essentially has the same number of degrees of freedom (3 for both). Is it possible that this is just SABR being more flexible or are mistakes in my calibration process more likely?
(4.) Last question moreso about my future prospects since my team gives me a lot of freedom on how I can expand the project once the surfaces are done. I hope to work as a vol trader, hopefully at an OMM shop. Banks would also work but the roles are much more scarce now. I am considering roughly three expansions:
a. Work on the avallenada and stoikov framework to delve into the market making side.
b. Side track to work on exotics by using LSV models. I figure this would give me more room for banks since most of the derivatives desks are exotics nowadays.
c. Work on systematic trading strategies because literature shows a major vol risk premium in the cryptocurrency sphere (at least as of 2024, paper by V. Lucic and A. Sepp). I do not wish to work as a systematic trader but it might help me get a foot in the door.
I'm not sure which of the three options is better, and I will probably only have time to do one of these thoroughly.
not sure if this is a hazard now
hi, I tried to synchronise my anki phone app with the cards I’ve added from my computer this morning, but it seems that all of my stats have been resetted, instead of having to review the cards I should be reviewing, it’s putting me only new cards in all decks. I’ve started using anki not too long ago so it’s a manageable amount of cards to go through again, but how can I ensure this doesn’t happen?