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When you buy stock, you're essentially buying a tiny piece of the company it represents. Understanding how profitable the company is in relation to its stock price can be an important consideration...
In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...
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Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).
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Robert Shiller's plot of the S&P composite real price–earnings ratio and interest rates (1871–2012), from Irrational Exuberance, 2d ed. [1] In the preface to this edition, Shiller warns that "the stock market has not come down to historical levels: the price–earnings ratio as I define it in this book is still, at this writing [2005], in the mid-20s, far higher than the historical average
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Robert Shiller's plot of the S&P 500 price–earnings ratio (P/E) versus long-term Treasury yields (1871–2012), from Irrational Exuberance. [1]The P/E ratio is the inverse of the E/P ratio, and from 1921 to 1928 and 1987 to 2000, supports the Fed model (i.e. P/E ratio moves inversely to the treasury yield), however, for all other periods, the relationship of the Fed model fails; [2] [3] even ...