Explaining the Relationship Between Sticky of Expenses with Prediction Error of Profit in Tehran Stock Exchange

Document Type: Research Paper


1 Department of Accounting, Ghom Branch, Islamic Azad University, Ghom, Iran.

2 Department of Accounting, Arak Branch, Islamic Azad University Arak, Iran


One of the basic assumptions of management accounting illustrate that costs
changes has a significance Relationship with increasing and decreasing in the level
of activity, recently after being raised of sticky costs issue by Anderson and his
colleagues this assumption was discussed. It means Increases in costs by increasing
the more activity level of reduction in costs is exchange for the reduction in the
level of activity. Anderson et al (2003) changed the expression of Cost behavior to
sticky costs. The Subject profit forecast error is one of the issues that can affect
investment decisions to hold or transfer of shares, because purchase of shares of
the new company's stock is riskier process than other companies; Because of its
lack of trading Background, historical information related to their is low. Accordingly,
in prediction two fundamental goals follow: The first one obviously is the
proper planning and second one is Familiarity and deployment of predictive techniques
using predictive techniques for decision making and problem solving process.
The aim of this study was to investigate the relationship between forecast
error of earnings and sticky cost in Tehran Stock Exchange. To achieve this aim, a
main hypothesis and sub-hypothesis has been proposed, and to test hypotheses
data 108 firms listed companies in Tehran Stock Exchange using systematic sampling
purposefully selected, and data of the period between 2007 to 2013 was used
for statistical analysis. Finally, the results indicate that There is an inverse relationship
between sticky costs and forecast error of earnings, and also between
sticky cost of goods sold and sticky costs of sales.


Main Subjects

[1] Ahmed, Kamran.Hasan Tanweer, Karim Waves. Reliability of Management Ea ings forecasts
in IPO prospectuses: Evidence from an Emerging Market, 2007, P.1-20.

[2] Anderson M. C, Banker R, Huang R, Janakiraman S. Cost Behavior and Fundamental
Analysis of SG&A Costs, Journal of Accounting, Auditing & Finance, 2007, 22(1),
P.1- 28.

[3] Anderson, M., R. Banker, and S. Janakiraman. Are selling, generaadministrative costs
‘sticky?’ Journal of Accol, and unting Research, 2003, 41, P. 47–63.

[4] Balakrishnan, R., and K. Sivaramakrishnan., and T. S. Gruca. Cost stickiness and core
competency: A note. Contemporary Accounting Research, 2008, 25(4), P. 993–1006.

[5] Banker R, Chen L. Predicting Earnings Using a Model Based on Cost Variability and
Cost Stickiness, The Accounting Review, 2006, 81(2), P. 285-307.

[6] Chen, C. X., H. Lu, and T. Sougiannis. Managerial empire building, corporate governance,
and the asymmetrical behavior of selling, general, and administrative costs.
Working paper, University of Illinois at Urbana–Champaign, 2006, P.1-10.

[7] Dan Weiss. Cost Behavior and Analysts Earnings Forecasts. The accounting review
American Accounting Association, 2010, 85, P. 1441–1471.

[8] Firth, M, IPO profit forecasts and their role in signalling firm value and explaining postlisting
returns, Applied Financial Economics, 1998, P.29-39.                                                                                    

[9] Firth, M. and Liau-Tan, C.K. Signalling models and the valuation of new issues: An exaination of IPOs in Singapore, Pacific- Basin Finance Journal, 2008, 27, P. 511-526.                                                                                  

[10] Lonkani Ravi and Michael Firth. The accuracy of IPO earnings forecasts in Thailand and their relationships with stock market valuation, Journal of Accounting and Business Research, 2005, 35, P.269-286.                                        

[11] Noreen E, N. Suderstrum, The Accuracy of Proportional Cost Models: Evidence fromHospital Service Departments, Review of Accounting Studies, 1995, 2, P.89-114.

[12] Xie, Wenjuan, A New Measure of Analyst Earnings Forecast Dis-persion, Working Paper,
University of New Hampshire,2008, P.35.