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Cash flow forecasting is the process of obtaining an estimate of a company's future cash levels, and its financial position more generally. [1] A cash flow forecast is a key financial management tool, both for large corporates, and for smaller entrepreneurial businesses. The forecast is typically based on anticipated payments and receivables.
The profit model may represent actual data (c), planned data (p)or standard data (s) which is the actual sales quantities at the planned costs. The actual data model will be (using equation 8): π = p c *q c - [F c + (mμ c + lλ c + n c)q c] The planned data model will be (using equation 8): π = p p *q p - [F p + (mμ p + lλ p + n p)q p]
Given a sample from a normal distribution, whose parameters are unknown, it is possible to give prediction intervals in the frequentist sense, i.e., an interval [a, b] based on statistics of the sample such that on repeated experiments, X n+1 falls in the interval the desired percentage of the time; one may call these "predictive confidence intervals".
[3] In models involving many input variables, sensitivity analysis is an essential ingredient of model building and quality assurance and can be useful to determine the impact of a uncertain variable for a range of purposes, [4] including: Testing the robustness of the results of a model or system in the presence of uncertainty.
This type of software usually enables the trader to assemble the relevant information into composite pages, comprising a news panel, in text format, sliding in real time from bottom to top, a quotes panel, for instance spot rates against the US dollar, every quote update or « tick » showing up in reverse video during one or two seconds, a ...