Under the age-weighted historical simulation approach, past returns are assigned weights that decline exponentially. A decay parameter (typically denoted by $\lambda$, where $0 < \lambda < 1$) is used to give more recent observations greater weights, while distant observations receive progressively smaller weights. This allows the VaR estimation to quickly reflect recent market conditions and trends rather than equally relying on older, potentially irrelevant data.