Title of article
Explaining the Relationship Between Sticky of Expenses with Prediction Error of Profit in Tehran Stock Exchange
Author/Authors
لعل بار علي نويسنده , جمكراني رضا غلامي نويسنده Department of Accounting, Ghom Branch, Islamic Azad University, Ghom, Iran. Jamkarani Reza Gholami
Issue Information
فصلنامه با شماره پیاپی 0 سال 2016
Pages
8
From page
11
Abstract
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 companyʹs 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.
Journal title
Astroparticle Physics
Serial Year
2016
Record number
2406127
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