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The weighted average cost of capital (WACC) is the rate that a company is expected to pay on average to all its security holders to finance its assets. The WACC is commonly referred to as the firm's cost of capital. Importantly, it is dictated by the external market and not by management.
The Marshall-Edgeworth index, credited to Marshall (1887) and Edgeworth (1925), [11] is a weighted relative of current period to base period sets of prices. This index uses the arithmetic average of the current and based period quantities for weighting. It is considered a pseudo-superlative formula and is symmetric. [12]
Since return on invested capital is said to measure the ability of a firm to generate a return on its capital, and since WACC is said to measure the minimum expected return demanded by the firm's capital providers, the difference between ROIC and WACC is sometimes referred to as a firm's "excess return", or "economic profit".
It most commonly refers to an index, called the Balassa index, introduced by Béla Balassa (1965). [1] In particular, the revealed comparative advantage of country c {\displaystyle c} in product/commodity/good p {\displaystyle p} is defined by:
In finance, the equivalent annual cost (EAC) is the cost per year of owning and operating an asset over its entire lifespan.It is calculated by dividing the negative NPV of a project by the "present value of annuity factor":
Working capital (WC) is a financial metric which represents operating liquidity available to a business, organisation, or other entity, including governmental entities. . Along with fixed assets such as plant and equipment, working capital is considered a part of operating ca
The Incremental Capital-Output Ratio (ICOR) is the ratio of investment to growth which is equal to the reciprocal of the marginal product of capital.The higher the ICOR, the lower the productivity of capital or the marginal efficiency of capital.
Weighted least squares (WLS), also known as weighted linear regression, [1] [2] is a generalization of ordinary least squares and linear regression in which knowledge of the unequal variance of observations (heteroscedasticity) is incorporated into the regression.