Confused about the 4% retirement rule? Discover why experts like Bengen keep changing the safe withdrawal rate—and why 3.5% may be safer in India.
Retirement planning often boils down to one practical worry: “How much can I safely withdraw from my nest egg each year so the money lasts as long as I do?”
The answer people hunt for is a single number: the Safe Withdrawal Rate (SWR). The most famous of them is the 4% Rule, born from William Bengen’s research in the 1990s. But over three decades Bengen has refined his view several times — and those changes matter. This article explains why Bengen changed his recommendations, the assumptions behind his numbers, why the U.S. findings don’t map neatly to India, and why — for most Indians — 3%–3.5% (and as low as realistically possible) is the safer zone.
SWR answers a practical question: from a retirement corpus, how much can you take out in the first year, then increase that amount every year to match inflation, and still expect the money to last (for a set horizon like 30 years)?
Example (simple): retire with Rs.1 crore.
Two things to remember:
Refer my earlier post on SWP and how it is actually misguided in this financial world “Systematic Withdrawal Plan SWP – Dangerous concept of Mutual Funds“
In 1994 William Bengen analysed long-run U.S. historical returns (stocks and bonds back to 1926). He tested many starting years and withdrawal rates for a 30-year retirement horizon. His headline result: 4% (first-year withdrawal, then inflation adjustments) would have survived almost all historical 30-year retirements in the U.S.
Important details that are often missed:
Bengen did not proclaim “4% forever” and stop. As markets changed and he ran new tests, he updated his findings. Summarised:
Period / Research Phase | Portfolio Assumption | Bengen’s suggested SWR (approx) | Why he changed |
1994 (original) | 50–75% US equities + bonds | 4.0% | Historical worst-case (e.g., retirement starting 1966) survivals led to 4% as conservative round number. |
Late 1990s–2000s | Add U.S. small-cap exposure | 4.5%–4.7% | Small caps historically improved long-term returns and survival rates in backtests. |
2010s | Same assets, but much lower bond yields & higher equity valuations | ~3.5%–4.0% | Lower expected future returns (low bond yields, expensive stocks) reduced the sustainable withdrawal estimates. |
2020s (recent) | Emphasis on adaptability | No single fixed % | Bengen began arguing for flexible withdrawals — spend more in good markets and cut back in bad markets. |
So his “changing” is not flip-flopping for fun — it reflects different inputs (asset mix, valuations, bond yields) and modern caution about lower future returns.
In recent interviews Bengen has emphasised a flexible approach: raise withdrawals when markets are strong, cut when markets are weak. Academically it’s sensible — it preserves capital and reacts to reality.
But for retirees this raises real problems:
So while flexible withdrawals are a valid tool, they must be used carefully — not as the default approach for retirees who value stability.
Sequence of returns risk means the order of investment returns matters when you are withdrawing money. Two portfolios with identical average returns can behave very differently for a retiree, depending on whether the bad years arrive early or late.
Illustration (simple simulation, same average returns but different order):
Assumptions for illustration:
We construct two 10-year return sequences with the same average (6%):
Key balances after withdrawals (selected years):
Year | Good-first balance (Rs.) | Bad-first balance (Rs.) |
1 | 1,21,00,000 | 96,00,000 |
2 | 1,35,14,999 | 92,00,000 |
5 | 1,48,33,519.75 | 81,68,000 |
10 | 1,31,30,190.15 | 1,11,96,650.48 |
Interpretation:
Lesson: If a portfolio faces severe negative returns early in retirement, withdrawals can do permanent damage. Sequence risk is one of the main reasons to be conservative early in retirement.
Worked example: Rs.1 crore corpus, 6% inflation — 4% vs 3.5% withdrawal
Real retiree concern: how big is the difference between 4% and 3.5%? Even a half-percent sounds small, but it compounds.
Assumptions:
Initial withdrawals (year 1):
Inflation-adjusted withdrawals (selected years):
We compute withdrawal in year n as initial withdrawal × (1.06)^(n?1).
Year | 4% path (Rs.) | 3.5% path (Rs.) |
1 | 4,00,000 | 3,50,000 |
10 | 6,75,792 | 5,91,318 |
20 | 12,10,240 | 10,58,960 |
30 | 21,67,355 | 18,96,436 |
(Example calculations: Year 10 withdrawal at 6% inflation means multiply initial withdrawal by 1.06^9. For 4%: 4,00,000 × 1.06^9 ? Rs.6,75,792.)
Cumulative nominal withdrawals over 30 years (sum of each year’s withdrawal):
Difference over 30 years: ~Rs.39.53 lakh (? Rs.39,52,909)
What this shows: that modest initial conservatism (0.5% less withdrawal) yields a significantly lower drawdown on the corpus over decades, giving better chance of survival and flexibility against bad returns, higher-than-expected healthcare costs, or longevity surprises.
When it comes to retirement planning, rules of thumb like the 4% rule can be useful but often don’t reflect Indian realities. To see how safe different withdrawal rates are for Indian retirees, I ran a Monte Carlo Simulation.
What is Monte Carlo Simulation?
It’s a method where we run thousands of “what if” scenarios with different combinations of stock and bond returns. Instead of assuming the market grows smoothly, it captures volatility — the ups and downs that retirees actually face.
Assumptions Used
Results at a Glance
SWR | 10th Year Median Corpus | 20th Year Median Corpus | 30th Year Median Corpus | 30-Year Survival Probability |
3.0% | Rs.1.68 Cr | Rs.2.74 Cr | Rs.4.25 Cr | 96.5% |
3.5% | Rs.1.58 Cr | Rs.2.36 Cr | Rs.3.09 Cr | 89.9% |
4.0% | Rs.1.49 Cr | Rs.1.97 Cr | Rs.1.95 Cr | 77.7% |
The takeaway: Lower withdrawal rates not only increase safety but also leave behind a much larger legacy corpus.
Chart 1 – Median Corpus Growth Over 30 Years
Interpretation:
At 3% withdrawal, the corpus grows steadily and rarely faces depletion. At 4%, the median corpus stagnates, showing much higher risk of running out of money.
Chart 2 – Probability of Corpus Survival (30 Years)
Interpretation:
At a 3% withdrawal, the portfolio lasts for 30 years in almost 97% of cases. At 4%, it drops to 78%. This difference is huge and shows why “4% rule” may be too risky in the Indian context.
Why This Matters for Indian Retirees
Disclaimer – The Monte Carlo results presented above are based on historical return assumptions of Nifty 50 TRI and 10-year Government Securities. Actual future returns may differ significantly due to market cycles, interest rate movements, inflation, and economic conditions. These charts show probabilities, not guarantees. Investors should treat this only as an educational illustration and not as personalized financial advice. Always review your withdrawal strategy regularly and adjust based on your actual portfolio performance and spending needs.
These factors make the 4% rule unreliable as a direct transplant into Indian retirement planning.
Practical, detailed advice for Indian retirees (how to translate this into action)
William Bengen gave us a hugely valuable rule of thumb — but even he changed it as markets and data changed. He proved the method (test historically, examine asset mixes), not a single permanent number. For most Indian retirees: aim for a withdrawal rate in the 3%–3.5% range, keep equity exposure at a level you can emotionally handle, use buckets and some guaranteed income, and be conservative early in retirement because sequence risk is real.
And always remember: lower withdrawal = more peace of mind.
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