The tendency of investors to weigh potential losses more heavily than gains plays a significant role in asset pricing. We develop a reduced-form dynamic model for the S&P500 return which follows a Gaussian-GARCH dynamic under the physical probability measure, and the pricing kernel blend together two components: (1) an exponential quadratic function of return component and (2) a disappointment aversion (DA) component. This pricing kernel transforms the Gaussian-GARCH model under the physical probability measure into a mixture of a truncated and standard Gaussian GARCH model under the risk-neutral probability measure. Leveraging this flexible setup to estimate the value of European-style call option contracts on the S&P 500, we find that adding a DA component to the pricing kernel reduces option pricing errors by approximately 20%.