Smooth-return assumption
Real markets do not deliver equal monthly returns.
Investments • End-of-month withdrawals
Estimate regular monthly withdrawals and remaining corpus using a transparent end-of-month convention. The smooth-return model cannot show real market volatility or sequence risk.

If less than the requested amount remains, the tool withdraws the remaining balance and stops.
Balancem = Balancem−1 × (1+r) − Withdrawal
r is annual return divided by 12 and 100. The implementation uses an explicit monthly loop, which matches the displayed end-of-month convention. Display values round to whole rupees.
An initial ₹20,00,000 corpus, ₹15,000 monthly withdrawal, illustrative 8% annual return and 10 years gives:
| Total withdrawn | ₹18,00,000 |
|---|---|
| Estimated remaining corpus | ₹16,95,090 |
| Estimated growth component | ₹14,95,090 |
The smooth result can overstate stability. Actual returns may be poor early in retirement, when withdrawals can sell more units at lower prices.
Total withdrawn is cumulative cash removed. Remaining corpus is the smooth projection after withdrawals. Growth component equals withdrawals plus remaining value minus starting corpus; it is not guaranteed profit.
Two portfolios can have the same average return but different outcomes if losses arrive at different times. Early losses combined with withdrawals may reduce recovery potential.
Real markets do not deliver equal monthly returns.
A fixed withdrawal may lose purchasing power.
Redemptions can have tax consequences.
A high withdrawal can exhaust corpus quickly.
A method of periodic investment redemption.
At the end of each month after assumed growth.
No.
The tool stops and warns about the month.
No.
The order of gains and losses can change withdrawal sustainability.
No.
Actual platforms may allow changes; this model keeps it constant.
This is a simplified educational projection, not retirement or investment advice. Market returns and corpus sustainability are not guaranteed.