I don’t know if this is a bug. In my spare time, I am trying to compare outputs of my sims using the FS engine.
For most part, the simulations are similar, however, I seem to get consistently higher turnover Factset. What could the reasons be? How Final statements are handled?
Also, ranking is almost always similar, but different.
How do I count how many instances of a particular factor in the ranking is actually available in the population data. (ie FCF, Net equity issuance, etc)
In your ranking system, click on the Ranks tab; in the columns box choose “Include Composite and Factor Ranks”; then click Run. Any figures that are N/A will be colored white.
I still get some variance in my sims (actually for the better since a week, 39,58% on old data, 39,17% on new data with my best system, last
10 Years, very, very encouraging, I might not have to change anything :-)))))))))))))))))))))))). That said, I would like to get a rough estimation from p123 when this will actually “freeze” (It will never freeze, I understand this, you get the idea), e.g. my (or our all)
sims do not vary anymore.
It would be really great if P123 Team would start a new general thread (“Low hanging fruits with the new data provider”, something like that) on this board about best practices on how to adapt the ranking systems to the new data provider. There might be stuff, that the new data provider is doing much better (insider data?, better industry data whatever) and that we could profit on.
Also, p123 could point out what worked good on the old data provider, but does not work well on the new data provider and how one
can fix this easily. There might be also some real nice low hanging fruits that we all could implement in a fast way.
I know this is a thin line bc. we need to protect our models, so that can not be done with a whole ranking system, but
maybe p123 (and its users) could give line item examples, that would be really great.
Or p123, just give away your best secrets, that would be fine too (you get the irony)
Thank you for the million tons of work to all the p123 people and users who helped (I have to admit, I did not!!) to get
this transition done!
What works significantly worse on Factset → P123 Greenblatt ranking (which is a shame as it was allowing to get good results with minimal efforts).
This is true on a wide range of curated large caps universes that I use.
This is particular true for financials. I understand that Compustat was doing things to try to make Fin Serv fundamentals act like normal industries. Maybe they actually succeeded by luck or design since the P123 GB ranker was doing quite well
I got a call back from Tim Love (S&P Canada), he says the agreement is getting finalized so users get a seamless transition. He confirms the cutoff date is actually June 26th. He says there will be a grace period between June 26th to June 30th for those who plan to sign the new agreement terms later this week, everyone else is losing access this week end. He’s going to send me a draft to review tomorrow on the terms and conditions.
We’ll be switching everyone over to FactSet on June 26th, as planned. There should be no interruptions or loss of data. We’ll make sure to bridge any gaps. We have found a provider for short interest data and will let you know more details soon.
Georg, we’ve been working on getting front-end support for RBICS finished up.
All diversification functionality is using RBICS for screens and simulations run using FactSet; since those servers don’t even load GICS, there’s no other possibility.
Unfortunately, we won’t be able to launch the front-end RBICS support prior to the cutoff, so users who have not procured an S&P data license will start seeing RBICS as of Friday morning.