The researchers used a method called hybrid Monte Carlo to study how well a model can predict the volatility of stock returns. They compared the stochastic volatility model with another model called GARCH. By analyzing data from the Tokyo Stock Exchange, they found that the stochastic volatility model was more accurate in measuring volatility compared to the GARCH model.