The article introduces a new model called SG-Itô to analyze financial volatility using high-frequency data. This model considers that market dynamics vary depending on different economic states. The researchers found evidence of factors like leverage, investor attention, market illiquidity, stock market movements, and post-holiday effects affecting the volatility of the S&P 500 index.