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Profit margin in an economy reflects the profitability of any business and enables relative comparisons between small and large businesses. It is a standard measure to evaluate the potential and capacity of a business in generating profits. These margins help business determine their pricing strategies for goods and services.
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Within economics, margin is a concept used to describe the current level of consumption or production of a good or service. [1] Margin also encompasses various concepts within economics, denoted as marginal concepts , which are used to explain the specific change in the quantity of goods and services produced and consumed.
In economics, the marginal cost is the change in the total cost that arises when the quantity produced is increased, i.e. the cost of producing additional quantity. [1] In some contexts, it refers to an increment of one unit of output, and in others it refers to the rate of change of total cost as output is increased by an infinitesimal amount.
Marginal profit at a particular output level (output being measured along the horizontal axis) is the vertical difference between marginal revenue (green) and marginal cost (blue).
Margining risk is a financial risk that future cash flows are smaller than expected due to the payment of margins, i.e. a collateral as deposit from a counterparty to cover some (or all) of its credit risk. [1] It can be seen as a short-term liquidity risk, a quantity called MaR can be used to measure it.
The Margin-at-Risk (MaR) is a quantity used to manage short-term liquidity risks due to variation of margin requirements, i.e. it is a financial risk occurring when trading commodities. It is similar to the Value-at-Risk (VaR) , but instead of simulating EBIT it returns a quantile of the (expected) cash flow distribution.
This interval is called the confidence interval, and the radius (half the interval) is called the margin of error, corresponding to a 95% confidence level. Generally, at a confidence level γ {\displaystyle \gamma } , a sample sized n {\displaystyle n} of a population having expected standard deviation σ {\displaystyle \sigma } has a margin of ...