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Sales variance is the difference between actual sales and budgeted sales. [1] It is used to measure the performance of a sales function, and/or analyze business results to better understand market conditions.
But as market shares of the 20-firm industry diverge from equality the Herfindahl can exceed that of the equal-market-share 3-firm industry (e.g., if one firm has 81% of the market and the remaining 19 have 1% each, then =). A higher Herfindahl signifies a less competitive (i.e., more concentrated) industry.
The general formula for variance decomposition or the law of total variance is: ... the population variance of a finite population of size N with values x i is given ...
Market Share is the breakup of market size in percentage terms, to help identify the top players, the middle and the "minnows" of the marketplace, based on the volume of business conducted; Market Segmentation Some of the factors that determine the market are price, quality, speed of service, ease of maintenance, and points of distribution.
In economics, market concentration is a function of the number of firms and their respective shares of the total production (alternatively, total capacity or total reserves) in a market. [1] Market concentration is the portion of a given market's market share that is held by a small number of businesses.
However, some firms are more sensitive to these factors than others, and this firm-specific variance is typically denoted by its beta (β), which measures its variance compared to the market for one or more economic factors. Covariance among securities result from differing responses to macroeconomic factors.
While "market share" may be defined as "the percentage of a market accounted for by a specific entity", [1] the measure may also be divided into two types: "Unit market share: The units sold by a particular company as a percentage of total market sales, measured in the same units." [1]
This algorithm can easily be adapted to compute the variance of a finite population: simply divide by n instead of n − 1 on the last line.. Because SumSq and (Sum×Sum)/n can be very similar numbers, cancellation can lead to the precision of the result to be much less than the inherent precision of the floating-point arithmetic used to perform the computation.