Stock Analysis FIN 534 Ganduulga Shuree Instructor: Thomas Alexander Strayer University – Arlington Campus 2012 Table of Content Introduction …………………………………………………………………………... 3 Methodology…………………………………………………………………………… 3 Descriptive Statistics and Financial Analysis ……………………………………….. 4 Analysis of Stock Price ………………………………………………………………... 5 Financial Statement Analysis …………………………………………………………. 9 Ratio Analysis …………………………………………………………………………... 10 Risk Analysis ……………………………………………………………………………
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REGRESSION ANALYSIS Correlation only indicates the degree and direction of relationship between two variables. It does not‚ necessarily connote a cause-effect relationship. Even when there are grounds to believe the causal relationship exits‚ correlation does not tell us which variable is the cause and which‚ the effect. For example‚ the demand for a commodity and its price will generally be found to be correlated‚ but the question whether demand depends on price or vice-versa; will not be answered
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l Regression Analysis Basic Concepts & Methodology 1. Introduction Regression analysis is by far the most popular technique in business and economics for seeking to explain variations in some quantity in terms of variations in other quantities‚ or to develop forecasts of the future based on data from the past. For example‚ suppose we are interested in the monthly sales of retail outlets across the UK. An initial data analysis would summarise the variability in terms of a mean and standard
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2000. Reed‚ R. and S. Wilkinson. Green Buildings—Issues for the Valuation Process. Paper presented to the Australia Property Institute‚ Queensland Property Conference‚ Gold Coast‚ Queensland‚ October 27–28‚ 2006. Robinson‚ J. Property Valuation and Analysis Applied to Environmentally Sustainable Development. PRRES Eleventh Annual Conference‚ Melbourne‚ Australia‚ The University of Melbourne‚ 2005 Roper‚ K.O. and J.L. Beard. Justifying Sustainable Buildings—Championing Green Operations. Journal of Corporate
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for which the manager can generate excess returns. This means that the ability to completely eliminate all non-systematic risk relative to the portfolio’s benchmark. The measurement of depth and breadth could be obtained through the regression analysis as well as risk adjusted performance measures‚ which would be the Capital Market Line (CML)‚ Capital Allocation Line (CAL)‚ the Sharpe Ratio and the M2 index. The depth of the portfolio is done by looking at the portfolio’s Security Characteristics
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Bivariate analysis Contingency table In this case‚ we use contingency table to analyze the relationship between 2 qualitative variables. And this test works by comparing expected and observed frequencies with x2 distribution. Correlation coefficient When we need to test the relationship between 2 quantitative variables‚ we use correlation coefficient and it measured by standardized covariance measure and investigates linear dependence. Before doing this‚ it is better to first make a scatterplot
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GAAP Analysis: In business and economics‚ gap analysis is a tool that helps a company to compare its actual performance with its potential performance. At its core are two questions: "Where are we?" and "Where do we want to be?" If a company or organization is not making the best use of its current resources or is forgoing investment in capital or technology‚ then it may be producing or performing at a level below its potential. This concept is similar to the base case of being below one’s production
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Statistics Overview of Elementary Concepts in Statistics. In this introduction‚ we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of one’s general understanding of the "quantitative nature" of reality (Nisbett‚ et al.‚ 1987)
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report Preliminary analysis Since the data of all variables are non-metric and ordinal‚ there is no appropriate preliminary analysis can be performed. The descriptive statistics of the variable (table 1) below show that most respondent’s answers falls between 3 to 4 and close to 4 which denote the perception of neutral to agree. That is‚ most answers are positive indicating the students are not on average dissatisfy with the teaching of the subject. Figure 1 |
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Chapter 25 Discriminant Analysis Content list Purposes of discriminant analysis Discriminant analysis linear equation Assumptions of discriminant analysis SPSS activity – discriminant analysis Stepwise discriminant analysis 589 590 590 593 604 When you have read this chapter you will understand: 1 The purposes of discriminant analysis. 2 How to use SPSS to perform discriminant analysis. 3 How to interpret the SPSS print out of discriminant analysis. Introduction This chapter
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