OSAM
6 statements across 1 episodes · 2 bullish · 0 bearish · 1 people on the record · first statement Jun 10, 2019 by Patrick O'Shaughnessy · across every show →
Everything said about OSAM, oldest first
Jun 10, 2019 positive
O'Shaughnessy: OSAM Uses Machine Learning to Predict Specific Events Like Dividend Cuts
“So as a result, we have started to focus more on applying these techniques to focus on something like a dividend cut. Let's use that as an example. Build a model that just forecasts or predicts dividend cuts, and that's it.”
Jun 10, 2019
O'Shaughnessy: OSAM Measures Momentum Across 3-12 Month Windows and Adjusts for Volatility
“What's fascinating about pure price momentum and the way that we think about this is three, six, nine, 12 month trailing windows of total return versus pierce. We think we should also care about the volatility of the momentum.”
Jun 10, 2019 neutral
O'Shaughnessy: OSAM has almost zero portfolio overlap with AQR and LSV
“Our overlaps with other quants are shockingly low. Like we have this little cool program that we can show people this on the fly and they won't believe us. Like they'll ask about AQR and LSV and these other great managers, you know, really, really, really stro…”
Jun 10, 2019
O'Shaughnessy: Best quant researchers are defined by extensive failure experience
“The best way to know that someone's going to be an effective and efficient researcher going forward into the future is that they know what not to do. And I think the only way to do that is to build up that experience of failure through time.”
Jun 10, 2019 positive
O'Shaughnessy: OSAM Strictly Prohibits Researchers From Discarding Failed Studies
“And in our case as a business building, we've got a pretty strict rule around OSAM when it comes to building. You can't just do a research study and if it doesn't work, just like forget about it. You need to bring it into our ecosystem in a way that can be use…”
Jun 10, 2019 neutral
O'Shaughnessy: R&D spending factor added zero incremental alpha to master model
“So we did a lot of work around like R and D type spending. And when you plug it in, it Is both value and momentum in some interesting different ways and sectors. But when you plug it in into the master model as a factor, it was completely gone. It literally di…”