The article introduces a new model called linear-quadratic jump-diffusion (LQJD) that combines existing jump-diffusion and quadratic models. The researchers fully describe how this model works and its benefits for pricing assets. They find that adding nonlinearity to the model reduces pricing errors, and including a jump component improves accuracy for certain types of stock options.