Understand how an organisation can monitor its experience and manage risk

CP1 – Actuarial Practice · IFoA (Institute and Faculty of Actuaries) · 5 min read

Welcome to the "Feedback Loop": Monitoring Experience and Managing Risk

Congratulations! You’ve reached the "Living with the Solution" part of the CP1 syllabus. Think of this phase as the "maintenance and tracking" stage of a project. You’ve designed the product, priced it, and set it live. Now, you need to make sure it’s actually doing what you expected it to do.

In this chapter, we explore how organizations keep an eye on their performance and what they do when reality doesn't match their mathematical models. It’s all about the Feedback Loop of the Actuarial Control Cycle. Don’t worry if this seems like a lot of detail—at its heart, it’s just about comparing "What we thought would happen" with "What actually happened."

1. Why Do We Monitor Experience?

Imagine you are driving a car to a new city using a GPS. Monitoring experience is like looking out the windshield and checking your GPS. If you see a road closure or realize you’ve taken a wrong turn, you adjust your route. If an actuary doesn't monitor experience, the company is essentially driving blindfolded!

The primary reasons for monitoring are:
• To check the validity of assumptions: Were we too optimistic about investment returns? Did more people claim than we expected?
• To identify trends: Is a one-off bad year actually the start of a permanent change?
• To inform future pricing: Use today’s data to price tomorrow’s products better.
• To ensure solvency: Making sure the company has enough money to pay future claims.
• To satisfy regulators: Regulators want to see that you are managing your risks proactively.

Quick Review: Monitoring is the "Feedback Loop". It connects the results of our past decisions to our future planning.

2. What Exactly Are We Monitoring?

To understand how the business is performing, we look at several key areas. A great way to remember these is the mnemonic "C.I.E.L.O." (which is Spanish for "Sky" – because we are looking at the big picture!):

C - Claims (or Mortality/Morbidity): Are we paying out more than we expected? Is the severity (cost) or frequency (how often) higher?
I - Investment Income: Did the stock market or interest rates behave as our models predicted?
E - Expenses: Is the cost of running the office, paying staff, and managing policies within budget?
L - Lapses / Persistency: Are customers leaving us sooner than expected? (This can be "bad" if we haven't recovered our setup costs yet).
O - Others: This includes New Business volumes (are we selling enough?) and Mix of Business (are we selling too much of a risky product?).

Did you know?

Monitoring Lapses is vital because of "Selective Withdrawal." Often, it’s the healthy people who cancel their insurance policies, leaving the company with a pool of "riskier" individuals. This can cause claims to rise unexpectedly!

3. The Mechanism: Actual vs. Expected (AvE)

This is the bread and butter of actuarial monitoring. We calculate the Actual result and compare it to the Expected result based on our original assumptions.

The formula is simple in theory:
$ Experience \: Variance = Actual \: Result - Expected \: Result $

If you expected $ \$1,000,000 $ in claims but actually paid $ \$1,200,000 $, you have a negative variance of $ \$200,000 $. You then need to investigate why this happened. Was it a random fluke, or is the population getting unhealthier?

Common Mistake to Avoid:

Don't just look at the total number. If claims are high, check if it's because you sold more policies than expected (which might be good!) or because each policy is more expensive than expected (which is usually bad).

4. Analysis of Surplus (or Profit)

Once we have our "Actual vs. Expected" data, we perform an Analysis of Surplus. This is the process of breaking down the total profit (or loss) into its individual components.

Think of it like a recipe. If your cake (Total Profit) tastes different than intended, you check the ingredients:
• How much of the difference was due to the Interest Rate?
• How much was due to Mortality?
• How much was due to Expenses?

This helps management see exactly which "levers" to pull to fix the business.

Key Takeaway: Analysis of surplus explains why the financial position changed over the year. It provides a bridge between the opening balance sheet and the closing balance sheet.

5. Managing the Risks Identified

Monitoring is useless if you don't act on the information. Once you've identified a risk or a deviation in experience, you have several options:

A. Management Actions

These are steps the company takes to bring the "Actual" back in line with the "Expected":
• Change Premium Rates: If claims are too high, increase prices for new customers (or existing ones, if the contract allows).
• Alter Underwriting: Be stricter about who you sell to.
• Expense Control: Cut costs if the expense experience is poor.
• Change Investment Strategy: Move assets to match liabilities better if investment returns are volatile.

B. Risk Mitigation and Transfer

If the risk is too big to handle alone, the organization might:
• Use Reinsurance: Pass some of the claim risk to another insurance company.
• Use Derivatives: Hedge against changes in interest rates or equity prices.
• Diversify: Sell different types of products so that a loss in one is offset by a gain in another.

6. Data Quality: The "Golden Rule"

You cannot monitor experience effectively if your data is messy. Actuaries often use the phrase "Garbage In, Garbage Out" (GIGO). For monitoring to be useful, the data must be:
1. Accurate: No typos in claim amounts.
2. Complete: No missing policies.
3. Timely: Monitoring data from five years ago won't help you fix a problem happening today!

Don't worry if this seems tricky at first! In the exam, you often just need to suggest what might have caused a change in experience for a specific scenario. Always think: "What changed? Was it the number of events, or the cost per event?"

Summary Checklist

• Why monitor? To close the feedback loop and update assumptions.
• What to monitor? Claims, Investments, Expenses, Lapses, and New Business (C.I.E.L.O).
• How to monitor? Using Actual vs. Expected (AvE) and Analysis of Surplus.
• How to react? Through management actions, changing prices, or transferring risk (reinsurance).
• Crucial requirement: High-quality, reliable data.

Quick check

Can you answer these now?

Open each question to check the key ideas from this chapter.

How does monitoring experience relate to the Actuarial Control Cycle?

Monitoring experience is the "Feedback Loop" or "Living with the Solution" phase of the Actuarial Control Cycle, where actual performance is used to update models and assumptions.

What are the primary reasons for an organization to monitor its experience?

Monitoring checks assumption validity, identifies trends, informs future pricing, ensures solvency, and satisfies regulatory requirements for proactive risk management.

What does the mnemonic C.I.E.L.O. represent in experience monitoring?

C.I.E.L.O. stands for Claims (or Mortality/Morbidity), Investment income, Expenses, Lapses (persistency), and Others (New Business volumes and Mix).

What is "Selective Withdrawal" and why is it a risk during monitoring?

Selective Withdrawal occurs when healthy individuals cancel their policies, leaving a riskier pool of policyholders, which often leads to unexpectedly higher claim rates.

How is Experience Variance calculated in the Actual vs. Expected (AvE) mechanism?

$ Experience \: Variance = Actual \: Result - Expected \: Result $

What is the purpose of an Analysis of Surplus?

Analysis of Surplus breaks down total profit or loss into individual components to explain why the financial position changed over a period.

List common management actions taken to manage risks identified during monitoring.

Management can change premium rates, alter underwriting standards, implement expense controls, or adjust investment strategies.

How can an organization mitigate or transfer risk if the identified risk is too large?

The organization can use reinsurance to pass risk to others, financial derivatives to hedge volatility, or diversification to spread risk across different products.

What are the three essential characteristics of high-quality monitoring data?

Monitoring data must be accurate, complete, and timely to avoid the "Garbage In, Garbage Out" (GIGO) effect.

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