The article explores how volatility in financial markets behaves, focusing on its asymmetry. The researchers use new methods to analyze volatility jumps and develop a model that captures volatility dynamics accurately. By studying VIX and S&P index data, they find that volatility movements are best described by a specific type of mathematical model. This model suggests that volatility changes are driven by sudden jumps rather than gradual shifts, with a balanced distribution around zero.