Quantitative Trading
topic on 4 shows · 6 statements across 6 episodes
Latent Space
Capital Allocators
How I Built This
the a16z Podcast
6 statements about Quantitative Trading, every show
Swix: My fund was among the first combining social data with quantitative trading
“We were sort of the first to combine like social data with quantitative trading. And I think I think now it's very common”
Beauchamp: Small trading funds hold an advantage exploiting niche market anomalies
“If you have a fund of ten million dollars, if you find a little anomaly in the market that you might be able to make a hundred K a year from, that's a one percent return on your ten million fund. If your fund is a hundred K, that's a hundred percent return, ri…”
Talent mapping is efficient in equity long/short but inefficient in quants
“It's relatively efficient. I think it depends on the transparency of the strategy. So equity long short, I would say is pretty efficient. There's a lot of teams. They all go to the same conferences. A lot of them know each other. People move around. Analysts m…”
Tenev: Quantitative trading benefited from 2008 volatility due to wider spreads
“Quantitative trading actually benefited from the volatility in 2008, because the more volatility in the markets, the wider bid ask spreads are.”