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Insurance score

Insurance score is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Insurance score rather than just read about it. In short: An insurance score – also called an insurance credit score – is a numerical point system based on select credit report characteristics. There is no direct relationship to financial credit scores used in lending decisions, as insurance scores are not intended to measure creditworthiness, but rather to predict risk.

Key takeaways

  • Insurance score belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Insurance score to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Insurance score from memory before moving on to harder problems.

Reference excerpt

An insurance score – also called an insurance credit score – is a numerical point system based on select credit report characteristics. There is no direct relationship to financial credit scores used in lending decisions, as insurance scores are not intended to measure creditworthiness, but rather to predict risk. Insurance companies use insurance scores for underwriting decisions, and to partially determine charges for premiums. Insurance scores are applied in personal product lines, namely homeowners and private passenger automobile insurance, and typically not elsewhere.

Background Insurance scoring models are built from selections of credit report factors, combined with insurance claim and profitability data, to produce numerical formulae or algorithms. A scoring model may be unique to an insurance company and to each line of business (e.g. homeowners or automobile), in terms of the factors selected for consideration and the weighting of the point assignments. As insurance credit scores are not intended to measure creditworthiness, they commonly focus on financial habits and choices (i.e., age of oldest account, number of inquiries in 24 months, ratio of total balance to total limits, number of open retail credit cards, number of revolving accounts with balances greater than 75% of limits, etc.) Therefore it is possible for a consumer with a high financial credit score, and excellent payment history, to receive a poor insurance score. Insurers consider credit report information in their underwriting and pricing decisions as a predictor of profitability and risk of loss. Various studies have found a strong relationship between credit-based insurance scores and profitability or risk of loss. The scores are generally most predictive when little or no other information exists, such as in the case of clean driving records, or claims-free policies; in instances where past claims, points, or other similar information exist on record, the personal histories will typically be more predictive than the scores. Insurers consider credit report information, along with other factors, such as driving experience, previous claims and vehicle age, to develop a picture of a consumer's risk profile and to establish premium rates. The correlation, between credit-based insurance scores and overall insurance profitability and loss, has not been disputed.

Support and opposition The use of credit information in insurance pricing and underwriting is heavily disputed. Proponents of insurance credit scoring include insurance companies, the American Academy of Actuaries (AAA), the Insurance Information Institute (III), and credit bureaus such as Fair Isaac and TransUnion. Active opponents include many state insurance departments and regulators, and consumer protection organizations such as the Center for Economic Justice, the Consumer Federation of America, the National Consumer Law Center and Texas Watch. As a result of successful lobbying by the insurance industry, credit scoring is legal in nearly all states. The state of Hawaii has banned all use of credit information in personal automobile underwriting and rating, and other states have established restrictions. A number of states have also made unsuccessful attempts to ban or restrict the practice. The National Association of Insurance Commissioners has acknowledged that a correlation does exist between insurance scores and losses, but asserts that the benefit of credit reports to consumers has not yet been established.

Public information Insurance credit-scoring models are considered proprietary, and a trade secret, in most cases. The designers wish to protect their models from view for a number of reasons: they may provide competitive advantage in the insurance marketplace, or they anticipate consumers might attempt to alter results, by changing the information they provide, if the computations were common knowledge. Thus there is little public information available about the details of insurance credit-scoring models.

One actuarial study has been published, The Impact of Personal Credit History on Loss Performance in Personal Lines, by James Monaghan, ACAS MAAA. Allstate has published a private passenger automobile credit scoring model, the ISM7 (NI) Scorecard (where "NI" indicates no inquiries are considered).

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Insurance score

Start with the simplest possible case. Write down what Insurance score claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Insurance score before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Insurance score ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Insurance score

In research
Insurance score appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Insurance score in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Insurance score is common in secondary-school and first-year university syllabi. It links to neighbouring topics Actuarial science, Metrics, so understanding it makes those chapters shorter.
In everyday life
Look for Insurance score outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Insurance score in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Insurance score means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Insurance score out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Insurance score in simple terms?

An insurance score – also called an insurance credit score – is a numerical point system based on select credit report characteristics. There is no direct relationship to financial credit scores used in lending decisions, as insurance scores are not intended to measure creditworthiness, but rather…

Why does Insurance score matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Insurance score?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Insurance score.

Tags

  • Actuarial science
  • Metrics

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