Yahya Kamyabi; Esmail Tavakolnia
Abstract
AbstractRelations in the analysis of CVP, implies a linear relationship between sales, costs and profit. However, recent studies have documented a significant non-linear behavior of costs and profit, and cost stickiness is one of the most important behavior. Cost stickiness requires considerable conceptual ...
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AbstractRelations in the analysis of CVP, implies a linear relationship between sales, costs and profit. However, recent studies have documented a significant non-linear behavior of costs and profit, and cost stickiness is one of the most important behavior. Cost stickiness requires considerable conceptual changes in CVP model, which refers to conceptual and empirical limitations of this model. Therefore, this study uses the data of 140 companies listed in Tehran’s Stock Exchange over the 1385 to 1392 period to present the asymmetric model of CVP analysis, and enters cost stickiness into the equation. The results of the study showed that the standard model of CVP requires adjustment of cost stickiness, in case of using Anderson et al. (2003) model, and total amounts of revenues and costs, due to the lack of their efficacy of earnings management measures relating to the changes of classification. In other words, given the realized sales level, the profit is less if the sales level has increased compared to the prior period, than when the sales level has decreased compared to the prior period.
H. Khaleghi Moghadam; F. Karami
Volume 6, Issue 23 , October 2008, , Pages 19-41
Abstract
This paper aims to evaluate the earning forecasting model based on cost variability and cost stickiness in comparison to other forecasting models. Cost stickiness means that the rate of decrease in costs while sale declines is less than the rate of increase in costs while sale grows. In other ...
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This paper aims to evaluate the earning forecasting model based on cost variability and cost stickiness in comparison to other forecasting models. Cost stickiness means that the rate of decrease in costs while sale declines is less than the rate of increase in costs while sale grows. In other word, costs are sticky downward. The data used in this research was gathered from 85 companies accepted in Tehran stock market from 1994 to 2004. To analyze the data two regression techniques called simple and rolling methods and also confidence coefficient R2 and F test are used. The results indicate that the power of the earning forecasting model based on cost variability and cost stickiness is significantly more than the others'.
