The article discusses a method to efficiently estimate a type of non-Gaussian process with symmetric jumps. The researchers proved that the estimation process is accurate and efficient, even when observed at high frequency. They found that using a simple method of moments can help in estimating the process without the need for complex calculations. The results of their simulations show that this method can perform similarly to the more demanding maximum likelihood estimation.