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What Is the Hardest IFRS Standard to Implement?

Back in 2017, when the standard dropped, people thought it was just another accounting update. A tweak. A refinement. We were far from it.

Why IFRS 17 Stands Apart from Other Standards

Other standards—like IFRS 9 on financial instruments or IFRS 15 on revenue recognition—were disruptive, sure. IFRS 9 forced banks to change how they classify loans and anticipate credit losses. IFRS 15? It made every company selling goods or services rethink when and how they book revenue. But those changes were contained. They targeted specific line items. IFRS 17 isn’t contained. It explodes across the entire financial model of an insurance company. Premiums, claims, risk adjustments, interest margins—it reconstructs the profit engine from the ground up. And because insurance contracts span decades, the data requirements are monstrous. You’re not just reporting last quarter. You’re projecting, calibrating, and discounting cash flows over 20-year horizons. With stochastic models. On systems that weren’t built for it.

And that’s where it gets messy.

The Core Challenge: A Profit Model That Doesn’t Behave Like Accounting

IFRS 17 introduced the General Measurement Model (GMM), which calculates insurance liabilities as the sum of three components: the fulfillment cash flows (best estimate of future premiums and claims), a risk adjustment for non-financial risk, and the contractual service margin (CSM)—a deferred profit pool released over time as services are delivered. It sounds clean on paper. But the CSM is a beast. It’s supposed to smooth profit recognition. But adjustments to assumptions—like mortality rates, lapse rates, or inflation—can cause wild swings. A 0.5% change in discount rate might flip a $2 billion profit into a loss. And because those adjustments go directly through the income statement, volatility skyrockets.

Let’s be clear about this: it’s not just an accounting change. It’s a cultural earthquake. CFOs used to predictable earnings patterns now face earnings that look like EKG readouts after espresso shots.

Variable Annuity Hedging? Try Explaining That to the Board

Then there’s the Variable Fee Approach (VFA), a subset of GMM for contracts with direct participation features—basically, policies where policyholders get a share of investment returns. The VFA lets insurers align certain investment returns with policyholder benefits, reducing reported volatility. Sounds helpful. Except the mechanics are borderline surreal. You have to isolate fee income, link it to a specific return on underlying items, and ensure the contractual link is “clearly defined.” But what’s “clearly defined”? Regulators haven’t nailed that down. So one insurer might treat a 4% annual bonus as a fee. Another might call it a discretionary benefit. Same product. Different accounting. That changes everything.

How IFRS 17 Compares to Other Complex Standards

I find this overrated: the idea that IFRS 9 or IAS 39 were harder. Yes, Expected Credit Loss (ECL) models were tricky. But banks had data. Credit risk teams. Forecasting systems. Insurers? Many still rely on actuarial models built in the 1990s—written in COBOL, running on mainframes, fed by spreadsheets. Try plugging that into a real-time, principle-based standard. Then factor in that IFRS 17 requires quarterly re-measurement of liabilities. Quarterly. Not annually. Which explains why firms like Allianz, AXA, and Prudential poured over $500 million each into system overhauls. And even then, some delayed implementation multiple times.

IFRS 9 vs IFRS 17: One Is a Scalpel, the Other a Sledgehammer

IFRS 9 changed how we account for financial instruments. It introduced forward-looking ECLs—so banks now set aside provisions based on macroeconomic forecasts. Useful? Absolutely. But it’s a targeted change. It doesn’t redefine the core business. IFRS 17 does. It’s not a scalpel. It’s a sledgehammer to the P&L. And because it affects every contract, every segment, and every reporting line, integration with actuarial, pricing, and risk systems is non-negotiable. You can’t just patch it. You have to rebuild.

Why IFRS 15 Feels Simpler by Comparison

IFRS 15 applies to everyone selling anything. It brought consistency to revenue timing—like recognizing it when control transfers, not when cash lands. But it’s linear. Contracts are broken into performance obligations. Allocations are made. Done. IFRS 17? It’s multidimensional. Contracts are grouped. Cash flows are unbundled. Discount rates are updated. Risk adjustments recalculated. The CSM gets unlocked, but only if no loss emerges. And if a loss does emerge? It bypasses the CSM and hits the income statement immediately. Try explaining that to an investor who just wants to know if the company made money.

The Hidden Costs No One Predicted

Everyone knew implementation would be expensive. But the soft costs? They blindsided people. Training teams across actuarial, finance, tax, and IT. Aligning legal entities on contract boundary assessments. Getting boards to understand why profits are now volatile. And let’s not forget disclosure. IFRS 17 demands granular breakout of CSM movements, risk adjustments, and liability changes—often requiring 30+ new disclosures. One UK insurer reported a 40% increase in its annual report length post-IFRS 17. Is that useful? Or just noise?

Because here’s the thing: better transparency was the goal. But when every footnote reads like a differential equation, are we actually improving decision-making?

Legacy Systems: The Real Bottleneck

You can buy the best actuarial software on the market—like Prophet, MoSes, or Igloo. But if your source data is scattered across 17 legacy systems, none of which talk to each other, you’re stuck. One Asian insurer discovered mid-implementation that 60% of its policy data lacked consistent product codes. Sixty percent. They had to manually reconstruct historical cohorts. Took 18 months. Cost $80 million. And that’s just data hygiene. Then you have to align actuarial assumptions with finance. And reconcile with local GAAP. And satisfy auditors who don’t fully grasp the standard either.

Frequently Asked Questions

Why Did IFRS 17 Take So Long to Implement?

Originally issued in 2017, IFRS 17 was supposed to start in 2021. Then 2022. Then 2023. Finally, it became effective January 1, 2023—with a few jurisdictions like the UK pushing it to 2025. The delays weren’t bureaucracy. They were practical. Insurers needed time to test systems, validate models, and train staff. The European Insurance and Occupational Pensions Authority (EIOPA) admitted in 2022 that only 35% of EU insurers were ready by the original deadline. That’s not failure. That’s realism. Some companies still report under IFRS 4 today—using the temporary "temporary exemption" for qualifying puttable instruments. We’re not all caught up yet.

Does IFRS 17 Apply to All Insurers?

Yes, if they report under IFRS. But there are carve-outs. Reinsurance contracts held? Covered. Investment contracts without significant insurance risk (like pure savings plans)? Excluded. Also, small insurers can opt for the Group Threshold Exemption—delaying application if they’re below certain size thresholds. But that’s rare. Most major players had no escape. Even captives—subsidiaries insuring parent risks—must comply if they’re consolidated under IFRS.

Can IFRS 17 Be Simplified?

The Simplified Measurement Approach (SMA) exists for short-duration contracts—like motor or property insurance. It lets insurers use premium allocation without full GMM. But it’s limited. Long-term life contracts? No SMA. Health with renewal options? Probably not. And even SMA requires robust cash flow projections. So “simplified” is relative. It’s like calling a root canal “minor dentistry.”

The Bottom Line: It’s Not the Standard, It’s the Ecosystem

Look, IFRS 17 is technically the hardest. But the real challenge isn’t the math. It’s the ecosystem. Your people. Your systems. Your data. Your auditors. Your board’s patience. One firm spent two years just getting its actuarial and finance teams to agree on what “current estimates” mean. Two years. On a definition. And that’s exactly where companies fail—not because they don’t understand the standard, but because they underestimate the alignment it demands.

Data is still lacking on long-term impacts. Experts disagree on whether IFRS 17 actually improves comparability. Honestly, it is unclear. Some insurers now show higher near-term profits. Others see losses where they once saw stability. But one thing’s certain: if you’re in insurance, you don’t get to ignore this. Not anymore. The standard didn’t just change accounting. It changed what investors expect. And that changes everything.

Suffice to say, we won’t know if it was worth it for another decade.

💡 Key Takeaways

  • Is 6 a good height? - The average height of a human male is 5'10". So 6 foot is only slightly more than average by 2 inches. So 6 foot is above average, not tall.
  • Is 172 cm good for a man? - Yes it is. Average height of male in India is 166.3 cm (i.e. 5 ft 5.5 inches) while for female it is 152.6 cm (i.e. 5 ft) approximately.
  • How much height should a boy have to look attractive? - Well, fellas, worry no more, because a new study has revealed 5ft 8in is the ideal height for a man.
  • Is 165 cm normal for a 15 year old? - The predicted height for a female, based on your parents heights, is 155 to 165cm. Most 15 year old girls are nearly done growing. I was too.
  • Is 160 cm too tall for a 12 year old? - How Tall Should a 12 Year Old Be? We can only speak to national average heights here in North America, whereby, a 12 year old girl would be between 13

❓ Frequently Asked Questions

1. Is 6 a good height?

The average height of a human male is 5'10". So 6 foot is only slightly more than average by 2 inches. So 6 foot is above average, not tall.

2. Is 172 cm good for a man?

Yes it is. Average height of male in India is 166.3 cm (i.e. 5 ft 5.5 inches) while for female it is 152.6 cm (i.e. 5 ft) approximately. So, as far as your question is concerned, aforesaid height is above average in both cases.

3. How much height should a boy have to look attractive?

Well, fellas, worry no more, because a new study has revealed 5ft 8in is the ideal height for a man. Dating app Badoo has revealed the most right-swiped heights based on their users aged 18 to 30.

4. Is 165 cm normal for a 15 year old?

The predicted height for a female, based on your parents heights, is 155 to 165cm. Most 15 year old girls are nearly done growing. I was too. It's a very normal height for a girl.

5. Is 160 cm too tall for a 12 year old?

How Tall Should a 12 Year Old Be? We can only speak to national average heights here in North America, whereby, a 12 year old girl would be between 137 cm to 162 cm tall (4-1/2 to 5-1/3 feet). A 12 year old boy should be between 137 cm to 160 cm tall (4-1/2 to 5-1/4 feet).

6. How tall is a average 15 year old?

Average Height to Weight for Teenage Boys - 13 to 20 Years
Male Teens: 13 - 20 Years)
14 Years112.0 lb. (50.8 kg)64.5" (163.8 cm)
15 Years123.5 lb. (56.02 kg)67.0" (170.1 cm)
16 Years134.0 lb. (60.78 kg)68.3" (173.4 cm)
17 Years142.0 lb. (64.41 kg)69.0" (175.2 cm)

7. How to get taller at 18?

Staying physically active is even more essential from childhood to grow and improve overall health. But taking it up even in adulthood can help you add a few inches to your height. Strength-building exercises, yoga, jumping rope, and biking all can help to increase your flexibility and grow a few inches taller.

8. Is 5.7 a good height for a 15 year old boy?

Generally speaking, the average height for 15 year olds girls is 62.9 inches (or 159.7 cm). On the other hand, teen boys at the age of 15 have a much higher average height, which is 67.0 inches (or 170.1 cm).

9. Can you grow between 16 and 18?

Most girls stop growing taller by age 14 or 15. However, after their early teenage growth spurt, boys continue gaining height at a gradual pace until around 18. Note that some kids will stop growing earlier and others may keep growing a year or two more.

10. Can you grow 1 cm after 17?

Even with a healthy diet, most people's height won't increase after age 18 to 20. The graph below shows the rate of growth from birth to age 20. As you can see, the growth lines fall to zero between ages 18 and 20 ( 7 , 8 ). The reason why your height stops increasing is your bones, specifically your growth plates.