When Risk Changes Over Time
Different stages or cash flows within the same investment can carry different risks. Learn to separate probability weighting from systematic risk, and to match discount rates to each stage.
- One project can pass through stages with different economic risks
- Probability affects expected cash flow; the discount rate compensates for systematic risk
- The MIT oil-exploration example, worked stage by stage
- Zero beta is not zero uncertainty
- When one rate is enough — and when it is not
Can the risk of one investment change as it moves from development to approval, construction, launch, and mature operation?
A drug from preclinical to mature sales
A pharmaceutical development project looks very different at the trial stage than at the commercial stage. Should every stage automatically use the same discount rate?
- Will clinical trials succeed?
- Will the drug meet safety and efficacy standards?
- Will regulators approve it?
- How much additional development spending will be required?
The project is the same molecule from preclinical through mature sales. But the economic source of risk changes across stages.
Should every stage automatically use the same discount rate?
Expected cash flow, systematic risk, and timing
The most common valuation errors come from blending these three concepts. Keep them distinct.
Possible outcomes weighted by their probabilities.
Is the cash flow especially likely to be low when the overall market and investors' wealth are also low? This is what CAPM compensates.
A dollar expected later is worth less today, even before adding risk.
The 2/3 probability of finding nothing reduces the expected value. This is handled by probability weighting, not by inflating the discount rate.
Click the concept that each statement primarily describes.
A trial has a 50% probability of success, producing $60M if it works.
The project's cash flows are strongly correlated with recessions.
The payoff arrives in three years rather than tomorrow.
Construction will cost $40M in year 1 and $20M in year 2.
A dollar expected in ten years is worth less than a dollar expected in one year, even before risk.
Demand for the product falls sharply when the overall economy contracts.
Total uncertainty vs. systematic risk
A 50% probability of failure does not automatically justify a very high CAPM discount rate. The key question is whether the outcome moves with the market.
A trial has a 50% probability of success. The scientific outcome may be largely unrelated to broad market movements. Does a 50% probability of failure automatically justify a very high CAPM discount rate?
No. The probability of success belongs in the expected cash-flow estimate. The discount rate should reflect whether the value of the resulting cash flow moves with systematic market conditions.
- Will the molecule work?
- May be largely idiosyncratic
- Primarily affects probability-weighted cash flow
- Demand, reimbursement, competition, pricing
- Cyclical conditions
- May affect systematic risk and required return
Is the risk primarily idiosyncratic, systematic, both, or is there insufficient information to tell?
A Phase 2 clinical trial fails because the molecule did not reach statistical significance on its endpoint.
Demand for the company's products falls during a recession as consumers cut discretionary spending.
A factory construction project experiences cost overruns because steel prices spike during a global supply crisis.
An early-stage software startup's product fails to achieve product-market fit.
Oil production revenue falls because global oil prices collapse during an economic downturn.
A specific construction contractor goes bankrupt due to poor management.
Total uncertainty and systematic risk are not the same concept.
A project can carry enormous total uncertainty yet have low systematic risk — or vice versa. The CAPM discount rate compensates only for the portion that covaries with the market. (0/6 classified above.)
Stage-specific valuation, one step at a time
The MIT oil-exploration example separates diversifiable exploration uncertainty from market-sensitive production risk. Work backward from the production cash flow.
The Year 1 expected value combines the probability of discovery with the conditional production value. That expected value is then discounted at a rate matching the exploration stage's own systematic risk.
- Probability of discovering oil (incorporated via probability weighting, not the discount rate).
- Value at Year 1 if oil is found — the production cash flow discounted at the production-required return.
- Discount rate for the exploration-stage expected value, reflecting its own systematic risk.
Different stages use different rates because they carry different risks. The probability of finding nothing enters through E[V₁], not through inflating the discount rate.
Simplified instructional model
Drilling occurs. At year-end: oil found (33%) or nothing (67%).
If oil is found, production generates $60M.
Once oil is discovered, the remaining cash flow comes from producing and selling oil. That cash flow is valued using the required return associated with oil-production risk.
The production cash flow is discounted one year at the production-required return because it arrives at the end of Year 2, and at Year 1 one year remains.
The probability of finding oil is incorporated through the expected value. This is probability weighting, not discounting.
The 67% probability of finding nothing enters as a zero payoff. It lowers the expected value without inflating the discount rate.
Because this simplified example assumes the exploration outcome has beta 0, the Year 1 expected value is discounted at the risk-free rate.
Zero beta does not mean zero uncertainty. It means the uncertainty is not priced as systematic market risk in this example.
The two stages use different discount rates because they carry different risks. Production cash flows are valued at 20% — the return investors require for oil-production market exposure. The exploration outcome is valued at 5% because its uncertainty is assumed unrelated to the market in this simplified model.
Move the exploration-stage rate to match the production rate and watch the present value change. The next section compares this stage-specific approach with using one rate for everything.
Where the two methods diverge
Apply one rate to both years and see how the result differs from the stage-specific calculation. The gap reveals exactly where the rate treatment matters.
The stage-specific approach uses 20% for production and 5% for exploration. The single-rate approach uses one rate for both years.
Production risk is priced at 20%. Exploration outcome is priced at 5% because it is assumed uncorrelated with the market.
The expected payoff is discounted two full periods at 20% — as if exploration uncertainty carries the same market-risk compensation as oil production.
The single-rate approach treats the exploration uncertainty as though investors require the same market-risk compensation as they require for oil production. That understates value by $1.98M here, because it double-charges for risk that the stage-specific model already handles via probability weighting.
This does not mean exploration always has zero beta. It means the analyst should identify the actual source of risk rather than applying one industry label to every stage. If exploration outcomes do move with market conditions — for example, drilling becomes uneconomic when oil prices collapse — then a higher exploration-stage rate is justified.
Probabilities and discount rates answer different questions
Counting the same uncertainty twice — once through probability weighting and again through an unsupported discount-rate premium — is a subtle but common error.
An investor multiplies the commercial payoff by a low probability of success and then uses an extremely high discount rate because “the project may fail.” This may count the same uncertainty twice — unless the higher discount rate is independently justified by systematic risk.
Adjust for time and systematic risk only.
Probabilities answer which outcomes may occur. Discount rates answer how investors price the systematic risk of those outcomes.
An investor multiplies the commercial payoff by a 30% probability of approval, then discounts the result at 25% because 'the project may fail.'
An investor probability-weights a drug's value by approval probability, then discounts at a rate estimated from commercial-stage comparables (demand, pricing, competition).
An investor ignores the probability of construction delays entirely and discounts expected operating cash flows at the risk-free rate.
An investor applies a 15% discount rate to all cash flows of a mining project, citing 'high risk,' without separating geological discovery risk from commodity-price exposure.
An investor discounts construction costs at a low rate (financed by fixed-price contract) but discounts operating revenue at a higher rate reflecting cyclical demand.
- Some failure risk may be systematic.
- Construction failures may become more common during financing crises.
- Commodity projects may fail because market prices collapse.
- The analyst must investigate the source of uncertainty.
- Do not mechanically assign all failure probability to either category.
How risk shifts across clinical milestones
Return to the opening drug example. As the project moves from preclinical through commercialization, the dominant source of priced risk changes.
- Trial success probabilities
- Remaining research expense
- Safety and efficacy results
- Regulatory milestones
- Time to the next decision point
- Addressable patient population
- Expected price and reimbursement
- Market share and patent life
- Manufacturing and marketing costs
- Competitive treatments
Illustrative scenario. Probabilities and costs are teaching examples, not industry benchmarks.
Does the molecule show activity and acceptable safety in animal models?
Largely unrelated to broad market conditions. Affects probability-weighted cash flow more than the discount rate.
Preclinical data, mechanism of action, animal safety profile, competitive landscape.
A successful trial does not merely increase the probability of success. It can also change the project's remaining risk profile. As the project moves from scientific uncertainty toward commercial market exposure, the dominant source of priced risk shifts — and the appropriate valuation treatment may shift with it.
A compact manufacturing example
The same principle applies beyond pharma. Separate the probability of successful completion from the value of operating cash flows.
- Permitting and engineering delays
- Contractor performance
- Cost overruns
- Equipment installation
- Financing availability
- Product demand
- Selling prices
- Capacity utilization
- Input costs
- Industry cyclicality
- Technological obsolescence
A factory can be completed successfully and still produce poor financial returns. Probability of successful completion is a separate question from value of operating cash flows after completion.
Construction risk is not automatically idiosyncratic. Financing crises, commodity-price inflation, labor shortages, and supply-chain stress may create systematic exposure. The classification depends on the actual project and economic environment — not on a default assumption.
The time value of money and the risk premium can both differ
Discount rates can vary across time for two distinct reasons. Understanding both prevents confusion.
A risk-free cash flow due in one year may have a different risk-free rate from a risk-free cash flow due in ten years. The time value of money itself can vary with horizon.
Cash flows at different stages may carry different market exposure: development versus commercialization, construction versus operation, fixed contracts versus cyclical sales.
Different discount rates can arise because both the time value of money and the risk premium can differ across horizons. This lesson focuses on the second source — stage-specific risk premia. A full treatment of the yield curve belongs to the fixed-income module.
Representing meaningful risk differences, not maximizing rates
The professional objective is not to use as many discount rates as possible. Sometimes one rate is the right answer.
The professional objective is not to use the maximum possible number of discount rates. It is to represent economically meaningful risk differences. One rate may be a reasonable approximation when risks cannot be separated or disclosure is insufficient.
- All cash flows arise from similar operations
- Business risk is relatively stable
- Stages cannot be separated reliably
- Public disclosure is too limited
- Comparable risk estimates are highly uncertain
- Sensitivity testing shows the decision is not materially affected
A successful retailer opens 100 new locations using its established format, with stable unit economics and no distinct risk stages.
A biotech company is advancing a novel molecule through clinical trials toward potential commercialization.
A manufacturer builds a new plant under a fixed-price contract, then operates it to serve cyclical industrial demand.
A software company signs long-term subscription contracts with predictable renewal rates and minimal economic-cycle sensitivity.
A retailer's filings mention 'continued investment in digital capabilities' without any breakdown of stages, costs, or expected returns.
A connected analytical process
Outside investors rarely observe management's exact stage-specific betas or internal probability models. This practical workflow adapts the principle to incomplete information.
The loop closes at step 9: monitoring a milestone feeds back into step 1 of the next round. A successful trial does not merely confirm the old model — it produces a new project with different remaining risks, and the valuation should reflect that.
Common mistakes about stage-specific risk
Each card corrects a frequent error. Expand any question to see the reasoning.
Four applied questions
Test the framework on realistic situations. Explanatory feedback follows every answer.
Answer all questions, then check your work. You can retry any time — mastery is based on correctness, not speed.
- 01
A mining company has a 25% probability of discovering a viable deposit. The geological result appears unrelated to the market. If discovered, revenue will be highly exposed to commodity cycles. Which statement is correct?
- 02
A company probability-weights a drug's value by its approval probability and also uses a 25% discount rate solely because approval is uncertain. What potential error should the investor investigate?
- 03
A data center is built under a fixed-price contract, but future lease revenue depends heavily on technology demand. Should construction and operating cash flows automatically use the same rate?
- 04
A mature store-opening program has stable unit economics and no clearly distinct risk stages. Is one discount rate necessarily inappropriate?
Risk is not always constant within one investment
The analytical sequence that ties the lesson together.
An investment does not necessarily have one permanent level of risk. As uncertainty resolves and the source of cash flow changes, the relevant valuation treatment may also change.
- A single investment may pass through stages with different economic risks — and may justify different discount rates.
- Expected cash flow incorporates possible outcomes and their probabilities. The discount rate compensates for systematic risk.
- A high probability of failure does not automatically imply a high CAPM discount rate.
- Zero beta does not mean zero uncertainty — it means the uncertainty is not priced as systematic market risk.
- Probability weighting and an unsupported discount-rate premium can double-count the same risk.
- Multiple rates are useful only when stages carry economically meaningful and distinguishable risk exposures.
- When risks cannot be separated or disclosure is insufficient, one reasonable rate remains a valid approximation.
- Investors should update valuations as milestones resolve uncertainty.
We now know how to estimate possible cash flows and match discount rates to their risks. The next lesson combines those pieces into the central value-creation measure: net present value.
- 1A single investment may pass through stages with different economic risks — and may justify different discount rates.
- 2Expected cash flow incorporates possible outcomes and their probabilities. The discount rate compensates for systematic risk.
- 3A high probability of failure does not automatically imply a high CAPM discount rate.
- 4Zero beta does not mean zero uncertainty — it means the uncertainty is not priced as systematic market risk.
- 5Probability weighting and an unsupported discount-rate premium can double-count the same risk.
- 6Multiple rates are useful only when stages carry economically meaningful and distinguishable risk exposures.
- 7When risks cannot be separated or disclosure is insufficient, one reasonable rate remains a valid approximation.
- 8Investors should update valuations as milestones resolve uncertainty.