چکیده:
This study uses a model-based forecast revenue and expenditure is illiquidity shocks, Shock of illiquidity, lack of liquidity and risk-taking as independent variables and the dependent variable was considered as a profit forecast, The population of this study includes all companies listed on Tehran Stock Exchange for a period of 5 years from 2008 till 2014 at the company's 123 number, However, in order to homogenize the data, companies according to criteria (listed companies on the Stock Exchange dated to the end of the fiscal year are different, Financial intermediation industry member companies, holding companies (the parent company) and banks, corporations before 1393 at the Tehran Stock Exchange accepted the panel list, companies were profitable during the years 2008 to 2014 and suffered losses in this period grants), Shipping and finally 74 companies were selected. Based on data for the years 2008 to 2014, 74 firms of the sample of bank-data extracted and transferred to Excel spreadsheet. After performing the necessary calculations for variables, data needed to test stored in file-appropriate. To analyze the data descriptive statistics (mean and standard deviation) and univariate regression analysis were used. Results showed that the risk of taking on a significant negative impact on earnings forecast. The lack of liquidity and significant negative impact on earnings forecast, and the shock of illiquidity significant negative impact on earnings forecast
خلاصه ماشینی:
Predict Dividend, by Using Model that Based on Consumption and the Lack of liquidity Shock 1 Ghasam Kamali jaghin1, Mohammad Hossein Ranjbar 1Department of Business Management, College of Human Science, Qeshm International Branch, Islamic Azad University, Qeshm, Iran Abstract: This study uses a model-based forecast revenue and expenditure is illiquidity shocks, Shock of illiquidity, lack of liquidity and risk-taking as independent variables and the dependent variable was considered as a profit forecast, The population of this study includes all companies listed on Tehran Stock Exchange for a period of 5 years from 2008 till 2014 at the company's 123 number, However, in order to homogenize the data, companies according to criteria (listed companies on the Stock Exchange dated to the end of the fiscal year are different, Financial intermediation industry member companies, holding companies (the parent company) and banks, corporations before 1393 at the Tehran Stock Exchange accepted the panel list, companies were profitable during the years 2008 to 2014 and suffered losses in this period grants), Shipping and finally 74 companies were selected.
Table 2: Re ression model summar yR R2 gR2(adj) Durbin-Watson 0/984 0/838 0/832 2/663 Table 3 regression analysis of the dependent variable, based on the redictor variables p predictor variables coVeafrfiiacbileent StatiTstics P F Constant -0/064 -8/49 0/003 pvraeridaibctleosr Risk factor -0/838 -29/96 0/02 4/52 The second hypothesis analysis H0 : Lack of liquidity is not effective on the expected profit.