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The PEG ratio's validity is particularly questionable when used to compare companies expecting high growth with those expecting low-growth, or to compare companies with high P/E with those with a low P/E. It is more apt to be considered when comparing so-called growth companies (those growing earnings significantly faster than the market).
Given any ratio, one can take its reciprocal; if the ratio was above 1, the reciprocal will be below 1, and conversely. The reciprocal expresses the same information, but may be more understandable: for instance, the earnings yield can be compared with bond yields, while the P/E ratio cannot be: for example, a P/E ratio of 20 corresponds to an ...
In statistics, a k-th percentile, also known as percentile score or centile, is a score (e.g., a data point) below which a given percentage k of arranged scores in its frequency distribution falls ("exclusive" definition) or a score at or below which a given percentage falls ("inclusive" definition); i.e. a score in the k-th percentile would be above approximately k% of all scores in its set.
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...
Cohen's kappa measures the agreement between two raters who each classify N items into C mutually exclusive categories. The definition of is =, where p o is the relative observed agreement among raters, and p e is the hypothetical probability of chance agreement, using the observed data to calculate the probabilities of each observer randomly selecting each category.
Typically, any expense ratio higher than one percent is high and should be avoided. Over an investing career, a low expense ratio could easily save you tens of thousands of dollars, if not more.
This is the smallest value for which we care about observing a difference. Now, for (1) to reject H 0 with a probability of at least 1 − β when H a is true (i.e. a power of 1 − β), and (2) reject H 0 with probability α when H 0 is true, the following is necessary: If z α is the upper α percentage point of the standard normal ...
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 ...