The article shows how Extreme Value Theory can help predict stock market crashes. By combining self-exciting models with a marked dependent process, the researchers can estimate the magnitude of potential crashes. Their method gives better risk estimates than traditional approaches and uses data more efficiently. The researchers tested their model on historical stock market crashes and found it to be effective in predicting the size of major crashes.