Value at risk models, widely used for risk management by banks and other financial institutions, use complex computer algorithms to calculate the maximum that the institution could lose in a single day’s trading. These models seem to work well in normal conditions but not, alas, during financial crises, which is arguably when it is most necessary to know how much value is at risk.