dominate the traditional metrics during forecasting financial performance, especially in the presence of the use of machine … hybrid statistical and machine learning approaches, can improve forecasting accuracy. Integrating cutting-edge analytical …

understanding mortality risk and longevity risk. Studies of mortality forecasting are of interest among actuaries and demographers … because mortality forecasting can quantify mortality and longevity risks. There is an abundance of literature on the topic of … modelling and forecasting mortality, which often leads to confusion in determining a particular model to be adopted as a …

Accurate forecasting of insurance claims is of the utmost importance for insurance activity as the evolution of claims … capital required (by the regulators) to absorb the assumed risks. The conventional claim forecasting methods attempt to fit … claims. This study offers a fresh approach in insurance claims forecasting. First, we introduce two novel sets of variables …

We introduce a multistep-ahead forecasting methodology that combines empirical mode decomposition (EMD) and support … vector regression (SVR). This methodology is based on the idea that the forecasting task is simplified by using as input for …