Chapter 20 Quiz

Twenty questions to check your grasp of small commercial, the BOP, and straight-through underwriting: fifteen multiple choice and five short answer. Answers are in the collapsed block at the bottom — try the whole set before you open it.

Multiple choice

1. The single fact that drives almost everything about how small commercial is underwritten is that:

  • A. small businesses file more claims than large ones
  • B. it is the broad base of the market by policy count but the narrow tip by premium per policy
  • C. small businesses are exempt from rate regulation
  • D. the BOP is required by statute for businesses under a certain size

2. A business owners policy (BOP) bundles:

  • A. property, business income, and commercial general liability
  • B. property, workers' compensation, and commercial auto
  • C. general liability, professional liability, and cyber
  • D. every commercial coverage a business could need

3. The main difference between a BOP and a commercial package policy (CPP) is that:

  • A. the BOP is always cheaper
  • B. the CPP is only for personal lines
  • C. the BOP is a pre-packaged, standardized, eligibility-restricted product, while the CPP is built from individually selected, separately rated parts
  • D. the CPP cannot include property coverage

4. "Class underwriting" means:

  • A. investigating each individual risk's loss history in depth
  • B. pricing a risk on the basis of the class it belongs to rather than an individual investigation
  • C. underwriting only the largest accounts
  • D. refusing to write any standardized business

5. Small commercial relies on the class's experience rather than the individual risk's mainly because:

  • A. individual loss histories are illegal to use
  • B. the individual small risk's own experience is usually not credible, and the premium would not justify the investigation anyway
  • C. classes never have losses
  • D. regulators forbid individual rating

6. Straight-through processing (STP) is best described as:

  • A. a model that recommends a price for an underwriter to approve
  • B. the fully automated handling of a submission from intake to bound policy with no human underwriting intervention
  • C. a faster way to mail paper applications
  • D. a claims-handling workflow

7. The most accurate statement about automated/algorithmic underwriting is that it:

  • A. eliminates underwriting judgment entirely
  • B. relocates underwriting judgment from the individual file to the rule set, and from the moment of binding to the moment the rules were written
  • C. is unregulated because no human makes the decision
  • D. can only decline, never bind

8. In the STP pipeline, a "knockout rule" is one that:

  • A. automatically binds the best risks
  • B. is a hard stop preventing auto-bind (decline or refer) when a condition like an ineligible class or a cat-zone cap is hit
  • C. lowers the price for clean risks
  • D. routes every submission to a human

9. A submission whose risk score lands in the marginal "grey band" should typically be:

  • A. auto-bound, since the score exists to decide it
  • B. declined automatically
  • C. referred to a human underwriter
  • D. ignored until renewal

10. The most dangerous STP failure described in the chapter is:

  • A. referring too many clean risks
  • B. a referral trigger that should have fired but didn't, so a bad risk auto-binds and the error repeats at machine speed
  • C. quoting too slowly
  • D. asking the applicant too many questions

11. In small commercial, the carrier that wins an account is often the one that:

  • A. has the lowest rate regardless of speed
  • B. quotes fastest and easiest, often regardless of price
  • C. requires the most documentation
  • D. inspects every risk before quoting

12. The "battleground" number for profitability in small commercial is:

  • A. the loss ratio alone
  • B. the expense ratio, because fixed handling cost is large relative to a small premium
  • C. investment income
  • D. the agent's commission

13. Why must small commercial automate, according to the chapter?

  • A. because regulators require it
  • B. to drive the cost of touching a policy low enough that a low-premium product can run an expense ratio the combined ratio survives
  • C. because human underwriters cannot read applications
  • D. to avoid filing rates

14. Harbor Steel is not a BOP risk primarily because:

  • A. it is too small
  • B. it is an ineligible class (hot-work fabrication), over the size limits, too complex for the standardized form, and catastrophe-exposed
  • C. the BOP does not cover property
  • D. its owner prefers a package

15. When the volume that small commercial requires multiplies a five-point rate inadequacy across a hundred thousand auto-bound policies, the chapter calls this an example of:

  • A. the law of large numbers protecting the insurer
  • B. the "pricing follows risk" discipline failing at industrial scale
  • C. unfair discrimination
  • D. moral hazard

Short answer

16. Explain the package-versus-BOP decision: name three axes on which it turns, and apply them to tell a strip-mall gift shop from Harbor Steel.

17. Describe the referral logic of an STP program. Name the three families of case where STP should stop rather than auto-bind, and the signal that catches each.

18. Why is classification accuracy a first-order control in small commercial? Explain how a classification error and an eligibility rule "multiply together."

19. The chapter makes the unusually strong claim that, for the standardized middle of small commercial, STP can be better than human judgment. State the conditions under which that claim holds — and the conditions under which it fails.

20. A small-commercial manager wants to loosen the auto-bind tolerances to quote faster and win more accounts. Trace how that single decision could help or hurt the combined ratio (through both the expense ratio and the loss ratio), and what you would monitor to tell which is happening.

Answer key (try the questions first) **Multiple choice** 1. **B** — Most policies, least premium each; that inversion forces class-and-rule underwriting and makes the expense ratio the battleground. 2. **A** — Property, business income, and CGL. Workers' comp, auto, and professional/specialty are separate. 3. **C** — BOP = pre-packaged, standardized, eligibility-restricted; CPP = individually selected and rated parts built for the account. 4. **B** — Price off the class, not an individual investigation. 5. **B** — The individual is not credible (Ch. 10) and the premium won't justify the work; the class *is* credible. 6. **B** — Intake to bound policy, no human in the loop. (A describes augmentation/advice, Ch. 31–32.) 7. **B** — It relocates judgment to the rule set and to the moment the rules were written; it does not eliminate it. 8. **B** — A hard stop that prevents auto-bind (decline or refer) on a defined condition. 9. **C** — Refer the uncertain case to a human; a model forced to decide what it is uncertain about will be wrong often enough to matter. 10. **B** — The referral that should have fired and didn't: the same mistake, confidently, at machine speed, before anyone notices. 11. **B** — Speed and ease usually win small commercial, often over price. 12. **B** — The expense ratio; fixed handling cost is crushing relative to a small premium. 13. **B** — Automation is the expense-ratio discipline a thin-margin, low-premium product requires. 14. **B** — Ineligible class, over size, too complex, catastrophe-exposed: it fails the filter on nearly every axis. 15. **B** — "Pricing follows risk" failing at scale; the volume amplifies the leak rather than protecting against it. **Short answer** 16. The decision turns on (among others) **class** (eligible/low-hazard vs. ineligible/high-hazard), **size** (within the small-commercial cap vs. over it), and **complexity/catastrophe** (only standardized coverages vs. a custom-built program with cat exposure). The gift shop is a small, low-hazard, eligible class within size limits needing only standardized property and liability → **BOP**. Harbor Steel is a hot-work fabrication class (ineligible), 50,000 sq ft / ~\$45M revenue (far over size), needs WC, auto, umbrella, products, agreed-value property with a named-windstorm deductible, and is coastal-cat-exposed → **package policy**. 17. The **referral logic** decides bind / decline / refer per submission. STP should stop on: (1) the **ineligible or out-of-appetite** risk — caught by *hard knockout rules* (ineligible class, size/hazard over the cap, cat-zone cap, adverse claims history, unresolved data gap); (2) the **uncertain** risk — caught by the *grey-band score* that routes a marginal case to a human; and (3) the **novel** risk — the combination the rules never anticipated — caught by *catch-all referrals* ("an unusual combination," "anything where the cost of being wrong is large relative to the premium"). Confidence where it has seen the pattern, blindness where it has not; the referral logic backstops the blindness. 18. Classification is the *input* to the eligibility rule and the class rate, so an error in it makes everything downstream wrong: the right rate is applied to the wrong risk, and the wrong eligibility decision is reached, *automatically*. A classification error and an eligibility rule "multiply together" because the rule faithfully executes on a false input — a welding shop coded "metal products, light" binds a benign BOP its real hot-work hazard should have excluded. Garbage in, *bound* garbage out, and invisible until the loss arrives — which is why auditing bound classes against what businesses actually do is a first-order control. 19. The claim **holds** when the risk is standardized, well-understood, data-rich, and within appetite — the broad middle, where the class is a reliable guide, the third-party data is good, and nothing departs from the pattern the rules were built for; there, a model reading the whole class beats a human "investigating" a risk they can only glance at for a tiny premium. It **fails** at the edge: the misclassified risk, the business doing something the class does not capture, the local hazard no variable encodes, the account changed since the data was gathered, the novel exposure the training data predates. The model is confident where it has seen the pattern and blind where it has not. 20. **Helps:** faster quotes win more accounts → more volume spreads fixed costs and *lowers the expense ratio*; if the newly-bound business is genuinely good risk priced adequately, the combined ratio improves. **Hurts:** looser tolerances let marginal and misclassified risks auto-bind that should have been referred → the *loss ratio* rises (and adverse selection may steer a competitor's bad risks into the looser filter), so the combined ratio worsens — and it does so at volume, before anyone reacts. **Monitor:** loss ratio and loss emergence *by class and by segment*; the mix and score distribution of newly auto-bound business; classification accuracy on a sample of bound policies; and referral/decline rates — so you can tighten the rule before the book turns rather than after.