Pareto multiobjective nonlinear regression modelling to aid CAPM analogous forecasting

Recent studies confront the problem of multiple error terms through summation. However, this implicitly assumes prior knowledge of the problem's error surface. This study constructs a population of Pareto optimal neural network regression models to describe a market generation process in relation to the forecasting of its risk and return.