Dan Beaudoin
Consumer Credit Loss Forecasting
PNC
Businesses are increasingly dependent on data-driven decision making to direct long-term strategic planning, as well as day-to-day tactical decisions. The financial services industry has refocused efforts to leverage transparent, empirical decision making technology since the financial crisis of 2007-08. Applied statistics drive a multitude of processes within the financial services industry from asset pricing to risk-weighted capital allocation.
This presentation will focus on the use of applied statistics within a risk management context. Commonly used techniques including roll-rates, Markov chains, and logistic regression & scorecard construction will be reviewed. We will discuss in depth an example of the use of parametric hazard regression within asset valuation models.
All statistics students are expected to attend.