The article discusses a new way to price volatility and variance swaps in financial markets using a complex model that considers different market states and unexpected events. By combining various stochastic factors like volatility and interest rates with jump diffusion, the model can better predict swap prices. The researchers found that their method improved pricing accuracy and efficiency, providing a more realistic view of financial markets and considering more factors that affect swap prices.