Accounts receivable financing

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Related to factorial: Factorial design

Accounts receivable financing

A short-term financing method in which accounts receivable are collateral for cash advances. See: Factoring.

Accounts Receivable Financing

The selling of a firm's accounts receivable to a third party, known as a factor. If a firm is not confident in its ability to collect on its credit sales, it may sell the right to receive payment to the factor at a discount. The factor then assumes the credit risk associated with the accounts receivable. This allows the firm access to working capital immediately, which is important especially if the firm might otherwise have a cash flow problem. The price of accounts receivable financing is determined by the creditworthiness of the firm's customer, not of the firm itself. See also: Debt assignment.
References in periodicals archive ?
2]/df = 1,36 that both of them are at desirable level; on one hand, in the mood of estimation of Standard, the factorial loads of all cases related to the factors are higher than.
We define cyclic factorial Schur polynomials to be the polynomials obtained by reducing factorial Schur polynomials in 2n torus variables [t.
Para calcular la invarianza de la estructura factorial del instrumento, el modelo obtenido fue sometido a un analisis multigrupal con vistas a analizar la equivalencia del instrumento para chicas y chicos.
Respecto a la validez de la aplicacion de lapiz y papel, se plantearon varias hipotesis relativas a la estructura factorial, consistencia interna, diferencias de sexo y validez concurrente-divergente.
We call B(n) the factorial function or binomial factorial function of the poset P.
Relation (1) presents the equation obtained from simulating the full factorial experiment.
Published formal methods for multizone model tuning are based on sensitivity analysis (specifically, factorial analysis and Monte Carlo methods).
A two-level fractional factorial design can be used as an effective tool in screening rubber compound mixing processing variables having different degrees of effects on viscoelastic behavior.
The data were analyzed by using multivariate factorial model with the four factors as dependent variables: (1) self-confidence, (2) value, (3) enjoyment, and (4) motivation and two independent variables: (1) gender and (2) level of math anxiety.
Analysis of the experiments using coronal sections of the brain required a factorial ANOVA to assess simultaneously the localization of aromatase activity in the sequence of brain sections and the effect of sex or of estradiol treatment.
In this study, the method adopted to analyze the half-fractional two-level factorial experiments ([2.