نتایج جستجو برای: Predicting Earnings
تعداد نتایج: 142908 فیلتر نتایج به سال:
this paper investigates the relationship between earnings management and quality of earnings for the bankrupt and non-bankrupt firms listed in the tehran stock exchange from 2007 to 2012.the earnings quality is measured by four separate accounting-based earnings attributes: accruals quality, earnings persistence, earnings predictability; earnings and is also examined by testing the relationshi...
This paper examines the effects of the predictive ability of accruals and cash flows on earnings quality in Tehran Stock Exchange (TSE). In this study we have used two methods: cross-section and pooled for testing hypothesis. The results show that Sloan model has the strongest ability to predict future earnings, and cash component earnings have more ability than accruals component earnings for ...
Because in the theory of economics, the value of a company is based on the current value of future cash flows and profit is used as a substitute for cash flows, profit forecasting is of particular importance. In the research, the effect of rounding and revision in predicting earnings per share on the investors' attention in Iran has been investigated. After designing the investors' attention as...
Earnings prediction is one of the most important communication channels for transferring information to investors. Despite the importance of earnings prediction, few studies examined whether real earnings management are effective in predicting them. In this paper, the effect of earnings forecasting on firm risk is reviewed by considering real earnings management. Since earnings prediction char...
This paper investigates the relationship between earnings management and quality of earnings for the bankrupt and non-bankrupt firms listed in the Tehran Stock Exchange from 2007 to 2012.The earnings quality is measured by four separate accounting-based earnings attributes: accruals quality, earnings persistence, earnings predictability; earnings and is also examined by testing the relationshi...
The purpose of this research is predicting the stock prices using the Particle Swarm Optimization Algorithm and Box-Jenkins method. In this way, the information of 165 corporations is collected from 2001 to 2016. Then, this research considers price to earnings per share and earnings per share as main variables. The relevant regression equation was created using two variables of earnings per sha...
Accurate projections of lifetime earnings are useful in projecting Social Security benefits, trust fund balances, and economic resources of the elderly and the effects of changes in Social Security policy. This article projects lifetime Social Security earnings until retirement using data from the Survey of Income and Program Participation (SIPP) matched to Social Security records of annual ear...
This paper projects lifetime Social Security earnings until retirement using data from the Survey of Income and Program Participation (SIPP) matched to Social Security records of annual earnings from 1951 through 1993. We first develop, estimate and test gender-specific multiple regression models of ten-year earnings intervals using the matched 1984 SIPP panel. We find strong relationships pred...
Behavioral Finance aims to explain empirical anomalies by introducing investor psychology as a determinant of asset pricing. This study provides strong evidence that anomalous stock price behavior following earnings announcements is due to a representativeness bias. It investigates current and past earnings surprises and subsequent market reaction for listed US companies over the period 1983-19...
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