Why ORSA Conclusions Belong in Strategy
An insurer’s strategic plan changes its future risk profile. Entering a new market, expanding a product, changing distribution or investing in new technology can alter expected earnings, the types and concentration of risk, and the insurer’s ability to withstand adverse outcomes. The ORSA is useful to strategy when it helps decision-makers understand those consequences before they commit—not merely when it reports a solvency result after a plan is settled.
The connection is two-way. The strategy determines which exposures, assumptions and time horizons the ORSA should examine; the ORSA, in turn, can prompt leaders to modify, phase, defer or reject a strategic choice. A conclusion is most useful when it states what the analysis means for the decision, which assumptions matter, and what evidence or monitoring would change the conclusion.
This tutorial uses simple projected own-funds ratios to illustrate how evidence may be brought into a decision. They are not universal ORSA measures or prescribed thresholds. Any trigger used in an example is hypothetical and applies only because the fictional insurer has chosen it for that decision.
A Practical Link from Plan to Decision
A strategic proposal should be described in enough detail to identify how it could change the insurer’s risk profile. The analysis should distinguish the expected plan from relevant adverse conditions, make material assumptions visible, and assess whether the resulting risks remain consistent with the insurer’s stated appetite and capacity. A single ratio or scenario is not a complete assessment: dependencies, execution risks, uncertainty and possible management actions also matter.
Identify the proposed action, its scale and timing, and the alternatives the decision-makers can actually choose.
Consider which exposures, concentrations, dependencies and operational demands could change, including risks that may emerge during implementation.
Compare a coherent base plan with adverse conditions relevant to the proposal. State the assumptions and distinguish modeled results from areas of material uncertainty.
State whether the proposal is supportable as presented, what changes or safeguards might be needed, and what indicators would prompt reconsideration.
The arithmetic in a projection should be traceable. For example, if the model begins with own funds and then includes earnings, distributions and losses, the projected amount follows an accounting bridge:
This identity follows by adding the stated changes to the starting balance: earnings increase the balance, while distributions and losses reduce it. It does not establish that the assumptions are realistic, that the modeled risks are complete, or that a strategy is acceptable. Those are matters for challenge and judgment.
Worked Examples: Making the Strategic Connection
Worked Example: A Proposed Regional Expansion
A hypothetical insurer is considering expanding a property product into a new region. It starts the planning year with $1,000 million of own funds. Under the expansion plan, projected base-case earnings are $120 million, no distribution is planned, and the projected end-of-year own-funds requirement is $800 million. Under a severe but plausible scenario, earnings are instead a loss of $80 million and an additional catastrophe loss of $100 million is recognized; the own-funds requirement in that scenario is $850 million. The insurer has set a hypothetical management review trigger of 110% for this decision. Calculate both ratios and state what governance conclusion follows.
Method. For each outcome, first calculate projected own funds using the accounting bridge, then divide by the corresponding requirement. The base and adverse outcomes have different earnings and requirements, so they must not be mixed.
Base case. Projected own funds are \(1{,}000+120=1{,}120\) million. The ratio is \(1{,}120/800=1.40\), or 140.0%.
Adverse scenario. Earnings are a loss of $80 million, so the projected balance before the catastrophe loss is \(1{,}000-80=920\) million. After the additional $100 million loss, projected own funds are \(920-100=820\) million. The ratio is \(820/850=0.9647\), or 96.5% to one decimal place.
Decision interpretation. The base case is above the 110% trigger, but the adverse scenario is below it. The figures do not dictate a single answer, but they show that the expansion cannot be assessed from its favorable projection alone. Decision-makers should challenge the catastrophe assumptions, the proposed scale and timing, and whether a modified or phased plan would produce a more resilient outcome. The method avoids the common mistake of presenting the 140.0% base ratio as if it described performance under adverse conditions.
Check. The adverse projected balance reconciles as \(1{,}000-80-100=820\) million, and \(820/850\) is approximately 96.5%.
Worked Example: Changing the Mix of a Product Portfolio
A hypothetical insurer has $900 million of projected own funds before a proposed shift toward a higher-risk product. Management estimates that the new mix would add $36 million of base-case earnings. In an adverse scenario, the existing portfolio would produce a $20 million loss, while the new product would produce an additional $45 million loss. The requirement is $760 million in the base case and $800 million in the adverse scenario. The insurer’s stated hypothetical review trigger is 105%. Calculate the ratios and identify questions the result raises.
Method. Add the projected earnings to opening own funds for the base case. For the adverse case, subtract both losses from opening own funds, then compare each result with its matching requirement.
Base case. Projected own funds are \(900+36=936\) million. The ratio is \(936/760=1.2316\), or 123.2% to one decimal place.
Adverse scenario. The combined losses are \(20+45=65\) million. Projected own funds are \(900-65=835\) million. The ratio is \(835/800=1.04375\), or 104.4% to one decimal place. This is below the stated 105% trigger.
Decision interpretation. The adverse result is a reason to investigate the proposal’s sensitivity to assumptions about the new product, not a complete strategic verdict. Leaders should ask whether the loss estimate reflects the product’s actual risk drivers, whether exposures could accumulate, and whether the projected earnings depend on assumptions that would not hold in the adverse scenario. They should also consider whether a smaller shift changes the result. The common mistake is to add the $36 million base-case earnings to the adverse calculation while also subtracting adverse losses. That would combine incompatible outcomes; the stated adverse scenario uses losses instead of base-case earnings.
Check. The adverse calculation is \(900-20-45=835\) million, and \(835/800=104.375\%\), which rounds to 104.4%.
Worked Example: A Technology Investment With Execution Risk
A hypothetical insurer is considering a claims-platform investment. It has $750 million of projected own funds before the project. In the base case, the project produces $28 million of net earnings after operating costs, and the requirement is $650 million. In an adverse implementation scenario, the project produces only $8 million of net earnings, incurs a one-time $22 million implementation overrun, and faces a $40 million operational loss; the requirement is $680 million. The insurer’s hypothetical review trigger is 102%. Calculate both ratios and describe a suitable strategic conclusion.
Method. Treat the base case and the adverse implementation scenario separately. In the adverse scenario, include the lower earnings and both stated costs; do not carry over the base-case earnings.
Base case. Projected own funds are \(750+28=778\) million. The ratio is \(778/650=1.1969\), or 119.7% to one decimal place.
Adverse implementation scenario. Projected own funds are \(750+8-22-40=696\) million. The ratio is \(696/680=1.0235\), or 102.4% to one decimal place. This is above the stated 102% trigger, but by only 0.4 percentage points.
Decision interpretation. On these figures, the scenario result is just above the trigger, not comfortably beyond it. A reasoned conclusion might be to proceed only if decision-makers are satisfied with the operational-loss assumptions and have credible implementation milestones and indicators for reassessment. The ORSA should make the narrow margin and model uncertainty clear. The result alone does not prove that the investment is safe: a slightly larger loss, a delay in benefits or an omitted dependency could change the conclusion. The common mistake is to treat any result above a chosen trigger as automatic approval, without asking how sensitive it is to assumptions.
Check. The adverse balance is \(750+8-22-40=696\) million, and \(696/680\) is approximately 102.4%.
What Decision-Makers Should Challenge
The strategic connection is not achieved just by placing a solvency projection beside a business plan. Leaders need to test whether the analysis captures the decision they are making and whether the conclusion is robust enough to support that choice. Useful questions include:
- Scope: Does the assessment reflect the proposed scale, timing, entities and material dependencies of the strategy?
- Assumptions: Which assumptions drive the result, and are they consistent across earnings, losses and requirements?
- Risk profile: Does the initiative create a new concentration, change an existing exposure, or increase reliance on a counterparty, system or distribution channel?
- Uncertainty: Which risks are difficult to quantify, and what limitations in data or models could make the projected result less reliable?
- Alternatives: Would a smaller, slower or differently structured initiative change the exposure or the result materially?
- Review conditions: What observable developments would require management to revisit the plan or its assumptions?
These questions help turn an assessment into a decision-useful conclusion. For instance, a plan might be supportable only at a smaller initial scale, or only if specified assumptions and implementation milestones are monitored. The conclusion should identify the basis for such conditions and the uncertainty that remains. It should also be clear about the limits of the analysis rather than presenting modeled precision as certainty.
Common Traps in Linking ORSA and Strategy
| Trap | Why it is misleading | Better practice |
|---|---|---|
| Relying only on a favorable base case | It can conceal vulnerability to plausible adverse outcomes. | Show relevant adverse conditions and explain what they reveal about the proposal. |
| Combining assumptions from incompatible scenarios | The resulting projection may not represent any coherent outcome. | Keep scenario earnings, losses and requirements internally consistent. |
| Treating a threshold as a universal rule | A trigger is meaningful only in its stated context and under the insurer’s own governance. | State whose trigger it is, what it applies to and how close the result is. |
| Equating a model output with a decision | Quantitative results do not resolve uncertainty, execution concerns or strategic trade-offs. | Use results to inform challenge and document the judgment and conditions. |
A weak linkage says, “The ratio is above the trigger, so proceed.” A stronger linkage explains which strategic risks were assessed, how the material scenarios compare, which assumptions remain uncertain, and what decision or conditions follow. That is the difference between reporting a result and using ORSA in strategy.
Check Your Understanding
For each problem, keep scenarios internally consistent and interpret the calculation in the context of the stated hypothetical trigger.
- A hypothetical insurer has $600 million of own funds. A proposed expansion adds $45 million of base earnings; its base requirement is $500 million. Under a specified adverse scenario, earnings are a loss of $30 million and an additional loss is $55 million; the adverse requirement is $540 million. Its review trigger is 100%. What are the base and adverse ratios, and which one falls below the trigger? (Answer: Base \(645/500=129.0\%\); adverse \((600-30-55)/540=95.4\%\), below the trigger.)
- A product strategy begins with $820 million of own funds. In an adverse scenario, the existing portfolio loses $18 million and the new product loses $32 million; the scenario requirement is $740 million. The insurer’s hypothetical trigger is 103%. Calculate the adverse ratio and say whether it crosses the trigger. (Answer: Own funds \(820-18-32=770\) million; \(770/740=104.1\%\), above the trigger.)
- A proposed system project starts with $500 million of own funds. The base case adds $20 million of earnings against a $430 million requirement. The adverse case adds $6 million of earnings, subtracts a $12 million overrun and a $30 million operational loss, and has a $455 million requirement. Calculate both ratios and identify the scenario that merits greater challenge against a 101% trigger. (Answer: Base \(520/430=120.9\%\); adverse \((500+6-12-30)/455=464/455=102.0\%\). The adverse scenario merits greater challenge because it is much closer to the trigger, though still above it.)
- An insurer evaluates a regional launch with $1,100 million of opening own funds. The adverse scenario includes a $70 million earnings loss and a $95 million catastrophe loss, with a $960 million requirement. The hypothetical review trigger is 98%. Calculate the ratio and name one strategic question not answered by it. (Answer: Projected own funds are \(1{,}100-70-95=935\) million; \(935/960=97.4\%\), below the trigger. The ratio alone does not answer, for example, whether the catastrophe assumptions reflect possible geographic accumulation.)
- A proposed distribution change produces $40 million of base earnings from $900 million of opening own funds, with a $760 million base requirement. An adverse scenario instead has a $25 million loss and a $40 million operational loss, with an $820 million requirement. The hypothetical trigger is 105%. Calculate both ratios and state the scenario-consistent earnings amount used in the adverse calculation. (Answer: Base \(940/760=123.7\%\); adverse \((900-25-40)/820=835/820=101.8\%\), below the trigger. The adverse calculation uses the stated $25 million loss, not the $40 million base earnings.)