Charles Brandon

Using modeling languages in managerial accounting: An example for pricing decisions

Abstract This paper presents a modeling approach useful for accounting applications. The capabilities of modeling languages, like IFPS, enable managers to make complex analysis with relative ease and efficiency by focusing attention on management goals. The variable over which management has some degree of control can be manipulated to determine sensitivity of variable changes on desired outcome. The ease of manipulation and goal-seeking capabilities available in modeling languages produce greater insight into the decision making process. The application demonstrated in this paper is cost-volume-profit analysis viewed from the pricing perspective.

Consensus Forecasting Using Relative Error Weights

Employs weights based on relative errors produced by two or more models to formulate a consensus forecast. This method better captures changing patterns through time and sharply reduces size of forecast error.