"Mathematician uncovers methods to shrink sampling errors in large-dimensional data sets":
Kercheval's research provides a way for the analyst to better estimate the future risk of proposed stock portfolios by reducing statistical uncertainties, and this new method is most useful to financial portfolio managers who often run into challenges when determining financial outcomes for their clients when the number of assets held in a single portfolio exceeds the manager's possible observations.