The Impact of Working Capital Components on Firm Value in US Firms
Why this work is in the frame
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Bibliographic record
Abstract
Working capital is an important part of any businesses day-to-day operations. However, most businesses do not take into consideration that continuous investment into working capital does not maximize firm value. The specific problem addressed was firm managers that do not understand the optimal level for each component of working capital create sub-optimal value firm; leading to diminished investment returns for shareholders. For this study, 140 firms for the years 2003-2012 were selected from a stratified random sample of firms listed on the Russell 2000 index. Accounts receivable days outstanding, accounts payable days outstanding, and inventory days outstanding were regressed on economic value to determine whether a curvilinear relationship existed. All three models showed a statistically significant relationship to firm value, F(6, 2268), p<.01, R2= .40, F(6, 2268), p<.01, R2= .38, F(6, 2268), p<.01, R2= .39. Recommendations for firm managers included lowering accounts receivable, accounts payable, and inventory days during boom economic times while increasing accounts receivable, accounts payable, and inventory days during recessionary economic times. Consideration for future research into working-capital management and firm value should consider whether different curvilinear relationships exist between firm value and working-capital components during different economic cycles.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it