INTRODUCTION Unprecedented globalizations have witnessed double digit economic growth resulting in fierce competition and accelerated pace of innovation. As a result inflow of Foreign Direct investments has become a striking measure of economic development in both developed and developing countries. FDI and FII thus have become instruments of international economic integration and stimulation. Fast growing economies like Singapore, China, Korea etc have registered incredible growth at onset
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3/14/2014 1 RELATIVE VALUATION Introduction 2 The majority of equity research reports are based on multiples Most analysts use relative valuation because it is safer It is a short term strategy Forward multiples are better then historical ones because the price is related to expected cash flow Relative valuations usually means that you need to: 1. 2. 3. Come up with comparable companies Standardize by dividing by something common to all stocks Compare
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. . . . . . . . . . . . . . . . . Regression Analysis of Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . II The Core 19 21 22 23 26 30 36 38 38 44 47 51 51 3 Making Regression Make Sense 3.1 Regression Fundamentals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.1.1 3.1.2 3.1.3 3.1.4 3.2 Economic Relationships and the Conditional Expectation Function . . . . . . . . . . . Linear Regression and the CEF . . . . . . . . . . .
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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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Quantitative Methods for Economists Fall 2010 Final Examination Directions This exam is open book/open notes. Calculators are allowed but not laptop computers. The exam will end 3 hours after it begins. The exam is divided into two parts. The first part is multiple choice and true/false. Please answer these questions on the exam by circling the best answer (some rounding occurs in several places). The second part of the exam consists of several problems. Please answer these problems in the space provided on
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Inferential Statistics Data Analysis: Analyzing Data - Inferential Statistics Inferential statistics deal with drawing conclusions and, in some cases, making predictions about the properties of a population based on information obtained from a sample. While descriptive statistics provide information about the central tendency, dispersion, skew, and kurtosis of data, inferential statistics allow making broader statements about the relationships between data. Inferential statistics are frequently
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them individually. Alternatively, counting techniques that involve permutations and combinations are helpful when calculating theoretical probabilities. This section will examine methods for determining theoretical probabilities of successive or multiple events. Permutation? or Combination? The following flow chart will help determine which formula is suitable for any given question. By simply following a series of "yes" or "no" questions, the appropriate formula can be determined. Flow
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------------------------------------------------- ------------------------------------------------- Biometry 242 – NS 12 -14 NS 12 – Split Plot Design * Factor A on large plots (Main plots), Factor B on smaller plots (Sub-plots) * Use a split-plot when: * there is a limited number of plots * one of the factors is more important than the other * More NB Factor on sub-plots * Disadvantage – one factor forfeits precision * Has two error terms = SSMAIN
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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 examine
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RESEARCH TITLE The relationships among determinants of the gold price in Malaysia RESEARCH OBJECTIVES 1. To determine the relationship between USD-MYR exchange rate on the Malaysian gold price. 2. To determine the relationship between the price of crude oil on the Malaysian gold price. 3. To determine the relationship between the Malaysian Gross Domestic Product on the Malaysian gold price 4. To determine the relationship between inflation rate on the Malaysian gold price. 5. To determine
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