Extending the Influence of Real Options: Problems and Opportunities
Bibliographic record
Abstract
Abstract Investments in oil and gas are subjected to increasingly sophisticated financial analyses. Real option valuation is prominent among the new financial analytical tools being applied prospectively to projects in the industry. This paper begins with the observation that many real option analyses are formally, technically correct and yet clearly lack substantial influence on decisions and ongoing project management. The paper considers possible explanations for this lack of influence, including aspects of model design and construction, organizational structure, training, and corporate communication habits. The paper explores two problems in more detail. First, the mathematically powerful assumption of optimal exercise is built into all real-option models, yet it clearly over-simplifies corporate behavior. The paper cites recent advances in corporate finance theory to show why corporations sometimes fail to exercise options optimally. These include insights from research on agency costs, information asymmetries, and corporate governance. When these problems acquire first-order significance they tend to undermine the credibility of an otherwise sound model. Second, there is a dissonance between the established language of capital budgeting (essentially cash flows and discount rates) and the language of real options, which is still evolving, but which must at a minimum accommodate changes over time in key variables and the phenomenon of active rather than passive management. The paper concludes with practical suggestions for surmounting or skirting these obstacles, drawn from the author's experience as an academic and consultant in the field of real option valuation.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".