Assessment of the Profitability of a Revenue Investment with Random Times between Uniform Successive Returns
Why this work is in the frame
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Bibliographic record
Abstract
Investments with random cash flow streams are much closer to describe the real financial environment of a revenue generating investment than constant cash flow streams .A cash flow stream is considered under risk if at least one of its parameters is a random variable with a given probability distribution. Many models of random cash flows were investigated by researchers. However, this study aims to survey the economic worth of cash flows with random time between equal returns on the initial investment. This study develops criteria for the profitability based on the rate of return of the expected net present worth, and make comparisons to the expected rate of return based on simulations. The concept of moment generating functions of random variables is employed to get the analytic forms of the expectations. This study also considers many possible distributions for the random separating time between returns and supply a sufficient number of numerical examples. The findings show that this financial model applies to apartment buildings, condominiums, shopping malls, and the management of inventory stocks of expensive items.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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