The article explores ways to reduce risk in investment portfolios using two different models: Mean Absolute Deviation (MAD) and Conditional Value-at-Risk (CVaR). The researchers wanted to see if one model was better at minimizing risk than the other. They used data from 23 assets to create portfolios and found that neither model dominated the other. However, portfolios optimized with MAD tended to have higher returns than those optimized with CVaR. This suggests that MAD may be more effective at minimizing risk in portfolios. The researchers recommend using larger datasets in future studies to further explore these findings.