A company's earnings before interest, taxes, depreciation, and amortization is computed by considering a company's earnings before interest payments, tax, depreciation, and amortization are subtracted for any final accounting of its income and expenses. The EBITDA of a business gives an indication of its current operational profitability, i.e., how much profit it makes with its present assets and its operations on the products it produces and sells.
Earnings are the net benefits of a corporation's operation. Earnings is also the amount on which corporate tax is due. For an analysis of specific aspects of corporate operations several more specific terms are used as EBIT -- earnings before interest and taxes, EBITDA - earnings before interest, taxes, depreciation, and amortization.
In microeconomics, economies of scale are the cost advantages that enterprises obtain due to size, output, or scale of operation, with cost per unit of output generally decreasing with increasing scale as fixed costs are spread out over more units of output.
In financial economics, the efficient-market hypothesis states that asset prices fully reflect all available information. A direct implication is that it is impossible to "beat the market" consistently on a risk-adjusted basis since market prices should only react to new information or changes in discount rates.
Enterprise value, total enterprise value, or firm value is an economic measure reflecting the market value of a business. It is a sum of claims by all claimants: creditors and shareholders. Enterprise value is one of the fundamental metrics used in business valuation, financial modeling, accounting, portfolio analysis, and risk analysis.
The expense ratio of a stock or asset fund is the total percentage of fund assets used for administrative, management, advertising, and all other expenses. An expense ratio of 1% per annum means that each year 1% of the fund's total assets will be used to cover expenses. The expense ratio does not include sales loads or brokerage commissions.
In statistics, a moving average is a calculation to analyze data points by creating series of averages of different subsets of the full data set. It is also called a moving mean or rolling mean and is a type of finite impulse response filter. Variations include: simple, and cumulative, or weighted forms.
Financial education is so important, but barely taught at all in our schools. Having resources online is great, but not if they are inaccessible to so many. Thanks 508!