Research projects

Project CEMAPRE internal

TitleClustering Extreme Values
ParticipantsJoão Nicolau (Principal Investigator)
SummaryExtreme value clustering often occurs during financial crises when large losses or gains are not
isolated but come in sequences, indicating periods of heightened market stress or exuberance. This
helps in identifying and understanding the dynamics of systemic risks. Recognizing the clustering of
extreme events enables more accurate modeling of tail risks, essential for setting capital reserves
and developing robust risk management strategies. Incorporating clustering into predictive models
enhances their accuracy in estimating extreme outcomes