OVERLAND PARK, Kan. — Unless you’re an economist, an insurance guru, or a pension fund manager, chances are good you’re not overly familiar with the term actuarial soundness. In short, it’s a fancy way of saying “the math must work.”
For example, an actuarially sound pension fund will have enough money in the bank to meet future obligations. If not, and investments made by the fund are overly risky or too conservative, or expenses run amuck, then a whole slew of retirees could be left in the cold.
Federal crop insurance, by law, must be actuarially sound. This ensures that the amount of money in the system is sufficient to meet the costs of paying claims when disaster strikes and to establish a small reserve for possible extreme losses in the future.
To achieve this goal, premium rates are adjusted regularly to reflect current market and crop conditions — a process that requires constant number crunching and research.
This kind of diligence and regular adjustment becomes especially important for those areas where the weather is turning more and more extreme amid climate change. And on the flip side, adjustments can be made to reflect changing conditions that may indicate less risk.
By being actuarially sound, the crop insurance system has a loss ratio performance mandate of “not greater than 1.0” — meaning that over time, indemnity payments paid out to farmers should equal the total premiums invested into the system.
Actuarial soundness has helped the program survive extreme events like the devastating drought in 2012, the worst disaster to hit agriculture since the Dust Bowl.
But the system was managed prudently in the preceding years meaning that insurers had reserves to help pay $17 billion in indemnities and keep rural America afloat. The same could be said for the flooding and string of hurricanes seen in recent years.
Things could have turned out much differently had crop insurance not been actuarially sound and historical premiums not been sufficient to cover long-term losses.
That’s why crop insurers invest in actuarial professionals, data collection and analytics. It’s also why decisions made by policymakers carry such huge ramifications for farmers’ most important risk management tool.
In other words, the math must work.