The article presents a new method called GARCH-UGH for estimating extreme financial risks in time series data. This approach reduces bias in predicting extreme losses, which is crucial for managing financial risks effectively. The researchers found that GARCH-UGH provides more accurate estimates of extreme Value-at-Risk compared to existing methods, making it a valuable tool for financial analysts and decision-makers.