Price is the smallest lever on your desk and the only one with a number on it. A submission lands in the last week of the renewal season. Three years of losses, a schedule of values with the same address typed three different ways, and a broker’s note saying it’s much like the account you wrote in the spring. You have an hour for it, and the pile behind it hasn’t stopped growing since the weekend.
If your book is motor or household, none of this is about you. That was settled by tables and screens long before any of the current noise. For everyone else, that hour goes on two different kinds of work and only one of them has a name. Pricing what has already happened is the named one. Deciding about what hasn’t is the other, and on most days it never announces itself, because the difference only shows up on the day it matters.
The first one is going, and I’m not going to be coy about it. Loss history is data, and a model is a machine for eating loss history. It will triage the submissions, price the ordinary risk better than you do, benchmark the terms against everything else in the market, and handle a renewal where nothing has changed. It will do it at the end of the renewal season without getting tired, which is when your book gets its worst decisions made. Anybody in your trade who insists a person prices small commercial better is going to lose that argument in front of the people who hold the pen on it.
The mistake about your job starts in the part of the lever that has no number on it. Where there is a technical rate it comes from the actuaries, and in the lines this post is about there often isn’t one, so you build the number yourself out of exposure and whatever the market is doing that month. Either way the number is the smaller part. Selection, structure and refusal are the rest of it. The deductible, the limit, the sub-limit, what sits inside the aggregate, the exclusion you insisted on, the wording you would not accept. Premium is one number among all of that. The trouble lives in a sentence somebody drafted years ago that a court will read in circumstances nobody had thought of.
The thing that actually kills insurers isn’t the enormous single loss. Everybody plans for the enormous single loss. That is what the reinsurance is for, and the whole market has rehearsed it. What ends companies is a book full of separate risks that turn out to be one risk. Every account sound on its own. Every one of them leaning, without anybody writing it down, on the same supplier, the same assumption inside the same standard clause, the same piece of infrastructure nobody thought to ask about. You wrote a portfolio. You owned a single position.
The machine’s confidence will be highest exactly there, because every one of those accounts resembles the history closely, and resemblance is what confidence is made of. Each price is defensible. The portfolio is a bomb. And this is the part I would put in front of any underwriter and ask them to shoot down: a loss with no precedent does not arrive looking strange. It arrives looking ordinary, many times over, one broker after another.
Somebody has to see it, and the only people who ever have are the ones who watched a book turn. You bind something today and find out later, sometimes at the end of a career, and it comes back as a reserve moving on a decision you can barely remember making. Not the big losses. The small steady wrongness, arriving late, about business you thought was fine. That is the slowest lesson in finance, nobody has found another way to teach it, and it is why the dull business matters. Ordinary risks are the only thing you get enough of to have a book of your own. If the model writes all of them, the person behind you sees referrals and nothing else, which sounds like a promotion and is nothing of the kind. An exception means nothing without a mass of ordinary underneath it to be exceptional against.
Some of this has nothing to do with data at all. You learn to decline by living through a soft market with your own name on the declinature. Everybody around you is writing the business, the broker is disappointed in you, your line is being filled by somebody down the street, and the numbers say you are wrong for a long stretch. Then it turns, and you find out. Reading about a cycle is not the same as having sat in one and held. If the ordinary book is machine written, that pressure never lands on a person early enough in their career to shape them, and the willingness to say no stops being a memory and becomes an opinion.
There is a serious objection to all of this, and your exposure management people will make it before you do. Aggregation is not unmanaged. There are catastrophe models, stress tests, disaster scenarios, accumulation limits by zone and class, and a whole function that exists to ask exactly the question I have just described. That is all true, and any post pretending otherwise has earned whatever it gets.
So let me keep my claim small. Everything in those models is a peril somebody already named. The scenario exists because a person once looked at a pile of paper and got an itch, and said out loud that these accounts might be the same account. That naming is the act. It has never come out of the data, because before the first loss there is no data, and after it there is no shortage of people willing to model it. What worries me is that the naming gets done by people who spent years being wrong slowly, and we are quietly closing the only place that ever happened.
And your trade is built so that none of this has to be noticed for years. Insurance is the one business that takes the money before it knows what the goods cost. A book written on borrowed confidence looks like a good year, then another good year, and the accounts agree with you the whole way through. By the time the reserves move, the way of pricing that did it has been the house standard for years. It is in the model everybody inherited, and the underwriters who might have argued with it are running somebody else’s division.
Take two accounts you have written this year, different brokers, different classes, and read the two wordings side by side until you find the assumption they are both resting on. If nothing turns up, read them again, because a real one is never in the same paragraph twice. Then work out whether anybody starting this year will ever hold enough business to run that test at all. I know what I would bet on that, and this isn’t the post where I write it down.