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Fundamental Analysis
The objectives of the analysis may be to calculate credit risk, to evaluate management and make internal business decisions, or to determine the value of a company's stock and its probable future. The analysis is performed on historical and present data, but the objective is to predict future stock or business performance. Two analytical modelsWhen the objective of the analysis is to determine what stock to buy and at what price, there are two basic methodologies.
Investors can use both these different but somewhat complementary methods for stock picking. Many fundamental investors use technicals for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible stock to 'good' companies. ProceduresThe analysis of a business' health starts with financial statement analysis that includes ratios. It looks at dividends paid, operating cash flow, new equity issues and capital financing. The earnings estimates and growth rate projections published widely by Thomson Financial and others can be considered either 'fundamental' (they are facts) or 'technical' (they are investor sentiment) based on your perception of their validity. The determined growth rates (of income and cash) and risk levels (to determine the discount rate) are used in various valuation models. The foremost is the discounted cash flow model, which calculates the present value of the future
The simple model commonly used is the Price/Earnings ratio. Implicit in this model of a perpetual annuity (Time value of money) is that the 'flip' of the P/E is the discount rate appropriate to the risk of the business. The multiple accepted is adjusted for expected growth (that is not built into the model). Growth estimates are incorporated into the PEG ratio but the math does not hold up to analysis. Its validity depends on the length of time you think the growth will continue. Computer modelling of stock prices has now replaced much of the subjective interpretation of fundamental data (along with technical data) in the industry. Since about year 2000, with the power of computers to crunch vast quantities of data, a new career has been invented. At some funds the manager's decisions have been replaced by proprietary mathematical models. Rocky Schmidt January 10, 2007
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© Copyright 2005 Ricky Schmidt |