Risk Management · Lesson 13 of 15 · Reviewed November 10, 2026
A position held across a market closure or major announcement can face a discontinuous change in price and liquidity. A chart reference below the prior close does not guarantee a transaction at that level. Risk management needs scenarios that preserve the original quantity while changing the possible exit.
This lesson compares a planned exit with an entered gap-exit scenario for a fully paid long-share position. It calculates the additional loss and its share of account equity. The exercise does not predict an opening price, assign event probabilities, or claim that the selected stress is the worst possible outcome.
1. Identify the exposure carried through the event
Record the instrument, confirmed quantity, entry, current reference, planned exit, relevant session, and known event timing. An earnings release, regulatory decision, or broad market event can affect the holding before continuous trading resumes. A calendar check is useful, but unknown events remain possible.
A pending exit is not the same as a completed exit. A holding remains exposure until its actual state changes. A position ledger should also identify any related instructions that could execute later, including entries that were not confirmed canceled.
The stop-order lesson explains why activation and fill must be kept separate. Event risk makes that distinction especially visible because price can move past a reference without an available transaction there.
2. Define a gap scenario without claiming a forecast
A scenario is an entered possible outcome used to examine consequences. It can be selected to test sensitivity or a policy, but its magnitude should not be described as likely without separate evidence. A fictional $45 exit is a teaching assumption, not a prediction about a particular stock.
Use a range of cases when appropriate: the planned reference, a moderate adverse exit, and a more severe adverse exit. Label each clearly. A single stress case can reveal dependence on an assumption while still omitting other possible outcomes.
The worksheet requires the gap exit to be no higher than the planned exit for this adverse long-side comparison. A favorable gap is a different scenario and should be reviewed separately rather than mixed into a loss-only stress demonstration.
3. Hold quantity fixed while changing the exit
Suppose entry is $50, planned exit $48, gap exit $44, quantity 40, and total charges $2. Planned net loss is $82. Gap-scenario net loss is 40 × $6 + $2 = $242. The additional loss is $160.
Holding quantity fixed is essential. Resizing after seeing the adverse outcome would change the experiment and conceal what the original exposure would have experienced. A revised pre-event plan can use a different quantity, but it must be labeled as a revision with its own timestamp.
Against a $10,000 equity reference, planned loss is 0.82% and gap-scenario loss 2.42%. The original plan’s small percentage did not guarantee that the realized event outcome would remain near it.
4. Separate marked prices from executable proceeds
An opening print or indicative price may not be the fill for the entire holding. Spread, available quantity, order type, session rules, and timing can alter proceeds. The entered gap exit is one assumed full-fill price, not a complete opening-auction or order-book simulation.
Halts and delayed openings add another timing issue. A position can remain untradeable while information changes. A protective instruction does not create liquidity where no eligible transaction is available.
The liquidity lesson calculates weighted fills and remaining quantity. If a scenario involves several exits rather than one full fill, the ledger should use those quantities and prices explicitly.
5. Consider shared event exposure across positions
Several holdings can respond to the same announcement or market shock. Stressing only one while assuming all others remain unchanged may understate the portfolio effect. Identify common drivers before treating the positions as separate risks.
A joint scenario does not require an unsupported correlation estimate. It asks what the account would look like if the specified changes occurred together. The probability of that case is a different question and should not be invented by the worksheet.
The joint-stress lesson provides an aligned portfolio exercise. An event review should connect single-position gap calculations with the wider account rather than stopping at one attractive loss figure.
6. Use the dedicated gap exercise
Open the Lesson 13 gap-risk exercise. Enter equity 10000, entry 50, planned exit 48, gap exit 44, shares 40, and charges 2. Predict planned loss 82, stressed loss 242, additional loss 160, and stressed equity impact 2.42%.
Change gap exit to 47. The additional loss narrows to $40. Then change it to 40, producing a more severe case. Explain which assumptions remain fixed and why the larger output is a consequence of the selected exit rather than an estimated event probability.
Try a gap exit above the planned exit. The tool should reject it for this adverse comparison and explain the required ordering. A zero exit is allowed as an extreme long-share price scenario, but it is not presented as a probability estimate or a universal worst case for other instruments.
7. Build an event checklist that supports decisions
A useful checklist records the event source, scheduled time, session coverage, confirmed holdings, outstanding instructions, liquidity assumptions, and review responsibility. It also identifies uncertainty about whether the event time can change. A checklist is useful when it changes a concrete review action.
Do not treat the absence of a known calendar event as the absence of gap risk. Unexpected company or market information can arrive. The scenario process should therefore be relevant beyond scheduled announcements.
A paper study can compare policies about carrying exposure through events, but it must include all eligible cases and costs. Selecting only dramatic gaps after they occur does not establish the frequency or economics of a policy.
8. Avoid using a favorable gap to validate the control
A profitable event outcome can occur despite an incomplete plan. A loss can occur despite a clear scenario review. Evaluate whether the original exposure and assumptions were understood, not only whether the direction happened to be favorable.
A plan revised after the event should preserve the earlier version. If the learner says the position was always intended to be smaller or the exit wider, the original ledger should make that claim auditable. Memory is a weak substitute for a dated record.
A stress result can justify further investigation without prescribing a specific action. The exercise does not decide whether a person should hold, reduce, or exit a real position. It makes the consequences of selected assumptions visible.
9. Case review: the planned percentage survives only in the plan
A fictional learner describes a position as risking less than 1% because its planned loss is $82 against $10,000 equity. The gap scenario produces $242 loss, or 2.42%. Both calculations are correct under their respective exits; the error would be treating the first as a guaranteed cap.
If several similar holdings experience the same event, the account impact can grow further. That does not mean every event will produce the stress outcome. It means a complete explanation must distinguish the conditional plan from possible realized exposure.
For practice, write a one-sentence scenario statement containing quantity, exit assumption, charges, equity reference, and the limitation. Avoid the word protected unless you explain exactly which mechanism and uncertainty it refers to. Clear language is part of professional risk management because it prevents a small planned number from hiding a larger unresolved exposure.
Review challenge: compare the event scenario with the account
A 25-share holding has entry $40, planned exit $38, adverse event exit $32, and $2 charges. Planned loss is $52; event-scenario loss is $202. Against $8,000 equity, the latter is 2.525%. Against $4,000 equity, the same position scenario is 5.05%.
The security and exit assumptions did not change between those account comparisons. The denominator changed. A review that reports only a small per-share gap or a familiar planned percentage can therefore conceal the account-level effect.
Next consider a second holding exposed to the same announcement. Its adverse scenario belongs in a joint review rather than being assumed independent because it has a different ticker. The single-position calculator cannot discover that overlap from its price fields.
For practice, preserve the quantity and charges while varying the event exit. Then keep the event exit fixed and vary the equity reference. Explain the two sensitivities separately. A professional scenario statement identifies both the conditional transaction result and the account base. It does not present the chosen stress as a forecast, a maximum possible loss, or a substitute for understanding order availability and liquidity around the event.
A complete practice record: assumptions, calculation, and review
Start the exercise by copying its inputs into a short record before pressing Calculate. Identify every unit and denominator: dollars, shares, percentages, price units, or a count of completed observations. Write the valuation time and clarify whether the values are fictional, historical, or confirmed transactions. The defaults in this course are fictional teaching examples. Their purpose is to make the arithmetic reproducible, not to recommend a position, percentage, boundary, or financing arrangement for a particular person.
Name the assumption that has the greatest effect on the answer. In one exercise it may be an exit fill; in another it may be the portfolio value, a shared shock, a cost, or the definition of the risk unit. A precise result can be highly sensitive to one uncertain input. State that sensitivity in plain language rather than allowing a clean screen to imply certainty. The calculator can enforce numerical consistency, but it cannot verify that the source data or chosen policy fits a real account.
Predict the result of one controlled change before calculating again. Keep every other input fixed. Explain whether the change affects a numerator, denominator, quantity constraint, cost, or scenario branch. Then compare the displayed result with your prediction. If they differ, return to the definition and arithmetic before inventing a market explanation. This method teaches the relationship among the inputs and prevents experimentation from becoming a search for a reassuring output.
Test a boundary case deliberately. Ask what happens when no whole share fits, a denominator becomes zero, a list is incomplete, a quantity exceeds the holding, or a scenario no longer matches the required price ordering. A validation message is useful evidence about the model’s scope. Do not replace a rejected value with an unrelated number simply to obtain an answer. First identify the violated assumption and decide whether this exercise is the appropriate model for the question.
Keep intended actions separate from confirmed states. A submitted order is not a completed fill, a cancellation request is not necessarily a canceled instruction, and a chart reference is not an available transaction price. For a paper exercise, state the hypothetical execution assumption. For a completed transaction record, use actual quantities, prices, charges, and status. Reconcile partial fills and remaining instructions so the ledger describes the exposure that exists rather than the exposure that was intended.
Write both the ordinary scenario and an adverse alternative when the model permits it. Preserve the original quantity while testing a worse outcome unless the purpose is explicitly to design a new plan. Label any revised plan with its own time and assumptions. A stress case is one selected possibility; it is not automatically the worst conceivable outcome or an estimate of probability. Missing information should remain labeled as missing rather than being converted into a zero or a favorable assumption.
Review the result on two separate dimensions. The first is outcome: what net dollars or normalized result occurred under the stated convention? The second is process: were the original definitions, constraints, and reconciliation steps followed? A favorable outcome does not prove a deviation was sound, and a loss does not prove that correct arithmetic was wrong. This separation helps a beginner identify a specific improvement instead of responding to every result with a new rule.
Finish with a concise explanation containing the observation, calculation, interpretation, and limitation. Another reader should be able to reproduce the important numbers without guessing what the fields mean. Preserve the original record, later revisions, and unfavorable examples. If extending the exercise into a historical or forward paper study, define the eligible sample and review horizon before collecting outcomes. A selected group of attractive examples cannot establish the reliability of a process. The strongest learning result is a clearer, auditable decision routine, including a clear reason when an example remains unresolved or does not fit the entered constraints.
Sources and model scope
Primary investor-education background supplies additional context. The numerical cases, graphics, and worksheets here are original fictional teaching examples. Every calculation depends on its stated convention; no worksheet determines personal suitability, guarantees execution, or establishes future returns.