The article shows that stocks with high idiosyncratic risk can lead to higher returns, especially for overpriced stocks. By focusing on anomalies in the stock market and considering idiosyncratic volatility, a new strategy was developed that outperformed traditional methods. This strategy produced monthly abnormal returns between 0.97% to 1.14%, beating a basic benchmark by a significant margin. The results were consistent across different time periods and models, indicating the potential for using idiosyncratic risk as a predictor for stock returns.