he AFN equation and the financial statement–forecasting approach both assume that assets grow at relatively the same rate as sales. However, the relationship between assets and sales is often a little more difficult than that. In particular, some firms use regression analysis to predict the required assets needed to support a given level of sales. General Services Corp. has used its historical sales and asset data to estimate the following regression equations: Accounts Receivable = –$85,230 + 0.265(Sales) Inventories = $9,110 + 0.211(Sales) General Services Corp. currently has sales of $922,000, but it expects sales to grow by 20% over the next year. Use the regression models to calculate General Services Corp.’s forecasted values for accounts receivable and inventories needed to support next year’s sales. Forecasted Values for Next Year Accounts receivable Inventories Based on the next year’s accounts receivable and inventory levels predicted by General Services Corp.’s regression equations, the firm’s DSO for next year is expected to be Use 365 days as the length of a year in all calculations.
he AFN equation and the financial statement–forecasting approach both assume that assets grow at relatively the same rate as sales. However, the relationship between assets and sales is often a little more difficult than that. In particular, some firms use regression analysis to predict the required assets needed to support a given level of sales. General Services Corp. has used its historical sales and asset data to estimate the following regression equations: Accounts Receivable = –$85,230 + 0.265(Sales) Inventories = $9,110 + 0.211(Sales) General Services Corp. currently has sales of $922,000, but it expects sales to grow by 20% over the next year. Use the regression models to calculate General Services Corp.’s forecasted values for accounts receivable and inventories needed to support next year’s sales. Forecasted Values for Next Year Accounts receivable Inventories Based on the next year’s accounts receivable and inventory levels predicted by General Services Corp.’s regression equations, the firm’s DSO for next year is expected to be Use 365 days as the length of a year in all calculations.
Essentials Of Investments
11th Edition
ISBN:9781260013924
Author:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.
Publisher:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.
Chapter1: Investments: Background And Issues
Section: Chapter Questions
Problem 1PS
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The AFN equation and the financial statement–forecasting approach both assume that assets grow at relatively the same rate as sales. However, the relationship between assets and sales is often a little more difficult than that. In particular, some firms use regression analysis to predict the required assets needed to support a given level of sales.
General Services Corp. has used its historical sales and asset data to estimate the following regression equations:
| Accounts Receivable | = | –$85,230 + 0.265(Sales) |
| Inventories | = | $9,110 + 0.211(Sales) |
General Services Corp. currently has sales of $922,000, but it expects sales to grow by 20% over the next year. Use the regression models to calculate General Services Corp.’s forecasted values for accounts receivable and inventories needed to support next year’s sales.
|
Forecasted Values for Next Year
|
|
|---|---|
| Accounts receivable | |
| Inventories |
Based on the next year’s accounts receivable and inventory levels predicted by General Services Corp.’s regression equations, the firm’s DSO for next year is expected to be Use 365 days as the length of a year in all calculations.
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