This talk is intended to explain how we can use tools coming from financial modeling in user-based models. These techniques are especially useful in the situation where the underlying signals are weak and we can’t expect a truly accurate model, which is mostly the case when forecasting the stock market.
Cathy O’Neil earned a Ph.D. in math from Harvard, was postdoc at MIT in the math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then chucked it and switched over to the private sector. She worked as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. Since this spring she’s been a data scientist for the startup media company “Intent Media”;http://www.intentmedia.com/.
For information on exhibition and sponsorship opportunities, contact Susan Stewart at email@example.com.
For information on trade opportunities contact Kathy Yu at mediapartners
For media-related inquiries, contact Maureen Jennings at firstname.lastname@example.org
View a complete list of Strata contacts.