Empirical Research on Computer Assisted Risk Measurement Method Statistics and Securities Investment Portfolio Model

Empirical research on the computer assisted risk measurement method statistics and also securities investment portfolio model is conducted in this study. The proposed algorithm shows that under the same conditions, investors are more inclined to choose a portfolio with a “right-biased” return distribution. If the skewness of the portfolio decreases, the expected return rate should be higher. For the better verification of the model, the computer assisted model is combined and the risk concerns are integrated to validate the robustness. The model is simulated compared with the latest methods. It is well reflected that the model is efficient.