This paper studies the joint decision-making of order quantities and pricing for loss-averse retailers with the price-dependent demand which is affected additively or multiplicatively by a random term. Based on the prospect theory, the expected utility function of the loss-aversion retailer is expressed, and the expressions of optimal order quantities and pricing and its sufficient condition of existence are deduced. Finally, numerical examples are given to illustrate the theoretical results of the proposed models. It is also given that loss-aversion behavior makes the retailer take conservative quantity polices that make order quantity closed to mean demand, and the loss-aversion behavior has an effect on optimal decisions and expected utility.