Modelling extreme stock market returns using Hawkes and Poisson processes
In probability theory, the assumption of independence between consecutive events is strong. However, when analyzing empirical data, this assumption is often weak or violated. This thesis investigates whether extreme negative daily returns in stock indices occur independently over time. To address this question, self-exciting Hawkes models are applied to extreme negative returns in two stock indice
