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Risk Shrinker

If the risk is high, let's shrink it down!

As a financial analyst, you must use mathematical techniques to estimate the future risk of proposed stock portfolios. Use the latest statistical method developed by Professor Alec Kercheval, with the help of Lisa Goldberg from the University of California, to reduce estimation errors and improve performance measurements when a small number of observations are used to estimate large quantities of data—so-called high dimensional data.