The article introduces a new model that can predict how stock prices change over time. This model focuses on both how quickly prices change (volatility) and whether these changes are more likely to be positive or negative (skewness). By analyzing real stock market data, the researchers found that their model is better at predicting stock price movements compared to other existing models. This means that their approach could help investors make more accurate predictions about the stock market.