In extraordinary times, history is, in fact, a better guide than models estimated with data from ordinary times, because it captures variance that standard time-series techniques ignore. If one wants to know how to deal with a banking crisis, the risk of a depression, or the threat of a default, it is natural to examine times when those dangers were around, rather than to rely on models that ignore such dangers or treat them as distant clouds.