The researchers developed a model to predict how stock market volatility changes over time, especially during jumps in returns and volatility. They used real stock market data to estimate the model's parameters and found that it performed better than previous models. The model showed high probabilities of jumps during financial crises, which can help investors understand and prepare for market fluctuations.