Impact of Ownership Concentration on the operating performance of Pakistani firms. Sample of 50 non-financial firms is selected from KSE-100 index of Karachi Stock Exchange of Pakistan. Descriptive analysis shows that there is an immense level of ownership concentration in Pakistani firms. Regression analysis suggested that there is a significant positive correlation among ownership concentration and firm’s operating performance. Naila Tabassum Center for Excellence in Research, Department of Management
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variable. Linear regression models are developed to examine the hypothesis and path analysis. The dependent variable of each model is auditor performance, whereas the independent variable of model 1 is spiritual intelligence, of model 2 are emotional intelligence and spiritual intelligence. The parameters were estimated by questioner data, with of 83 auditor respondent had worked in public accountant firms all of Jawa Tengah and Daerah Istimewa Yogyakarta. With path analysis, this research
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ARTICLE IN PRESS Journal of Accounting and Economics 39 (2005) 509–533 www.elsevier.com/locate/jae To blame or not to blame: Analysts’ reactions to external explanations for poor financial performance$ Jan Barton, Molly Mercerà Goizueta Business School, Emory University, Atlanta, GA 30322, USA Received 3 March 2003; received in revised form 17 March 2005; accepted 4 April 2005 Abstract Managers often provide self-serving disclosures that blame poor financial performance on temporary external
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orders for the upcoming year is regression analysis; we calculated the linear regression formula from the given data, and then applied the formula to the later months. Based on the linear regression equation, we anticipate the cell phone industry to continue to grow over the next 12 months, but Jordan's boos should feel free to stray away from actual forecasts for certain months. Method II is used to forecast the cell phone orders for the upcoming year is seasonal analysis. Seasonal variations in data
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example of which forecasting technique? a. | Barometric forecasting | b. | Time-series forecasting | c. | Survey and opinion | d. | Econometric methods based on an understanding of the underlying economic variables involved | e. | Input-output analysis | 4. The variation in an economic time-series which is caused by major expansions or contractions usually of greater than a year in duration is known as: a. | secular trend | b. | cyclical variation | c. | seasonal effect | d. | unpredictable
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company’s net income. Note that the p-value is not very impressive, 0.174, and the slope of the population regression equation could very easily be 0, at least based on this sample of years. For a year in which total revenues are $18 billion, the equation would estimate net income as $2.009 billion. The Minitab printout is shown below. Regression Analysis: NetIncome versus TotRev The regression equation is NetIncome = 0.21 + 0.0999 TotRev Predictor Coef SE Coef T P Constant
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CHAPTER 10. SIMPLE REGRESSION AND CORRELATION In agricultural research we are often interested in describing the change in one variable (Y, the dependent variable) in terms of a unit change in a second variable (X, the independent variable). Regression is commonly used to establish such a relationship. A simple linear regression takes the form of Y! = a + bx where is the predicted value of Y for a given value of X, a estimates the intercept of the regression line with the Y axis, and b estimates
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IFIC Bank Ltd. including Bank’s history, their vision, mission and strategy, products and services, organizational structure and corporate social responsibilities. After that I have analyzed the financial performance of IFIC which includes ratio analysis from 2008 to 2012. Then I described the remittance system in IFIC Bank Ltd which consists of foreign exchange houses, hierarchy of foreign remittance in IFIC, Job descriptions, operations of foreign remittance and remittance instructions. After that
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that the more recent data points fall under the previous demand line, which could mean that the demand curve for the industry has shifted downward due to the damaging trend towards healthier beverages. Industry Quantity vs. Nominal Price Regression Regression Statistic | Value | Significance | Sign of the Coefficient | Positive | Not Significant | To conform to the Law of Demand, the slope coefficient of demand must be negative. This is because the quantity that customers demand
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Introduction to Multiple Regression Dale E. Berger Claremont Graduate University http://wise.cgu.edu Overview Multiple regression is a flexible method of data analysis that may be appropriate whenever a quantitative variable (the dependent or criterion variable) is to be examined in relationship to any other factors (expressed as independent or predictor variables). Relationships may be nonlinear, independent variables may be quantitative or qualitative, and one can
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