Commit now or keep the decision open? The answer depends on more than an appetite for uncertainty. You need to know what information will arrive, what can still be changed, what waiting costs and whether probabilities are defensible. Real options and minimax regret address different versions of this problem. Modic's games let you compare their assumptions instead of using flexibility as a blanket reason to postpone.
A real option is a choice you can still make later
A real option concerns a future operational or investment decision rather than a tradeable financial contract. Its value can come from making the action contingent on information that is not yet available. The ability to decline a poor project after learning more is different from a promise to undertake it regardless of what is learned.
Myers's corporate-finance paper is a primary reference associated with real investment options. Modic's real-options game uses a deliberately small two-period example, not a company valuation. Every payoff, probability and timing assumption is exposed so the comparison can be checked before attempting a more realistic application.
Write a timeline before calculating value
Building now costs fifty immediately and returns either one hundred or twenty at time one. Waiting costs a fee now; at time one demand is revealed, and the model allows instant construction and payoff then. The waiting strategy builds only in high demand, when the immediate hundred payoff exceeds the fifty cost. That strong timing assumption is essential to the displayed values.
If construction took another year or a competitor could remove the opportunity, the waiting branch would be different. Likewise, observing demand only after committing would not preserve the same option. A timeline prevents a favourable calculation from quietly giving one strategy extra information, faster construction or a later payment date without acknowledging the change.
Worked example: a waiting fee can reverse the choice
Use the model's fifty-percent high-demand probability and ten-percent discount rate. These are stipulated inputs, not investment forecasts. The comparison demonstrates how contingent action changes expected payoff and how an explicit option-preservation cost can remove that advantage.
- Building now has expected future receipt sixty. Discounting and subtracting the immediate fifty cost gives 60/1.1−50, approximately 4.55.
- With waiting fee five, the future net receipt is fifty only in high demand and zero otherwise. Its expected present value is 25/1.1−5, approximately 17.73.
- Raise the waiting fee to twenty. Waiting value falls to about 2.73, below immediate building's 4.55. Flexibility remains available, but its assumed price now exceeds its benefit relative to the other action.
Expected value and unknown probabilities are different settings
The expected-value calculation uses a specified demand probability. If no defensible probability is available, hiding that gap inside a convenient fifty-fifty assumption is not the same analysis. You can instead inspect outcomes across states and ask which decision criterion fits the problem, while being explicit about the value judgments each criterion introduces.
Stoye's discussion of decisions under ambiguity surveys formal approaches including minimax regret. In the minimax-regret game, no weather probabilities are specified. Maximin protects the lowest absolute payoff; minimax regret limits the greatest shortfall relative to the best venue in each state. Those criteria can select different actions from the same table.
Waiting for information is different from searching indefinitely
An option can expire or become costly to maintain. A decision can also suffer from endless comparison that yields little new information. The satisficing game makes that cost visible by charging for each inspected offer and removing past offers. Continuing search can discover a higher value while reducing net payoff after inspection costs.
Before postponing, write what you expect to learn and when. If the next week supplies no new observation relevant to the decision, merely passing time may not create the option value you have in mind. If learning is available, ask whether an inexpensive reversible step can obtain it while preserving the important choice. The relevant benefit is a changed contingent action, not an abstract preference for keeping every possibility open.
Go a little deeper: Expected waiting value in this board
With high-demand probability p, discount rate 0.1 and waiting fee f, the waiting strategy is worth p×50/1.1−f. Immediate building is worth (100p+20(1−p))/1.1−50. These equations rely on the stated construction and payoff timing; changing timing changes the comparison.
A practical decision note about preserving flexibility
Use a short note that makes both the future choice and its preservation cost concrete. The note should also identify what would make waiting no longer worthwhile. That turns delay into an explicit strategy with a review point instead of an open-ended way to avoid committing.
- Write the actions available now and after information arrives.
- Specify the information, its arrival date and its reliability.
- Record expiry, competition, fees and delayed benefits.
- Separate stated probabilities from genuine ambiguity.
- Compare outcomes or expected values under the chosen criterion.
- Set a review point and an action trigger rather than waiting without a condition.
Preserving a choice is not always the goal
Some commitments create coordination, learning or access that waiting would lose. Other decisions are cheap to reverse and do not require an elaborate option analysis. A useful model focuses attention on a material irreversible choice and relevant uncertainty, rather than turning every ordinary decision into a prolonged financial exercise.
The games use teaching amounts and simplified states. They do not value an actual business, recommend an investment or settle which conservative rule a person must prefer. Their practical value is a clearer structure: what is known, what may become known, which choices remain, what each branch costs and which criterion you use to compare them. Once those are explicit, the next action becomes easier to justify and revisit.
Try the ideas for yourself.
These are teaching models. Follow the assumptions in each experiment; the results are not real-world forecasts.
Sources & further reading
Current-event context was checked on October 27, 2026. Follow the original source for newer updates. Worked scenarios are illustrative unless explicitly identified as reported data.
- Stewart Myers — Determinants of corporate borrowing ↗
Primary corporate-finance reference associated with real investment options.
- Jörg Stoye / Cornell — Decisions under ambiguity ↗
University survey of minimax and regret criteria under ambiguity.