Why Is My SIP Giving Negative Returns?By FundSageAI · May 25, 2026 · 11 min read

The single most important thing to understand about a negative SIP return: it is not evidence of a failed investment. It is evidence that you are investing in equity markets — where volatility is the price of entry, and corrections are not exceptions. They are the rule.

Equity markets do not go up in straight lines. The Nifty 50 — India's benchmark large-cap index — has experienced corrections of 10% or more repeatedly across every decade since it was launched. An investor with an active SIP during any of those corrections would have seen negative XIRR on their portfolio dashboard. That includes some of the most successful long-term investors in India.

The question is never if your SIP will show negative returns at some point. The question is what you do when it happens — and whether you understand why it is happening.

Before diagnosing your SIP, you need to know which return number you're actually looking at. Most investor confusion about negative returns comes from not knowing which calculation method their app is using — and why that method is more sensitive to recent market moves than they expect.

Most portfolio apps — including FundSageAI — display XIRR because it is the most accurate representation of your actual investment return. Unlike CAGR, XIRR accounts for the fact that you invested at different times and different prices. This makes it the right number — but it also makes it the most volatile number.

A negative XIRR does not mean your units are worthless. It means they are currently priced below your average buy cost. The moment markets recover — even partially — XIRR can swing sharply positive.

There are five distinct reasons you might be seeing a negative return. Most investors are experiencing one or more of them simultaneously. Understanding which one applies to you determines what action (if any) makes sense.

This is the insight that changes everything. SIPs are not just a convenient way to invest small amounts regularly — they are structurally designed to benefit from market corrections. The mechanism is called rupee-cost averaging, and understanding it transforms how you interpret a negative XIRR.

This mechanism — rupee-cost averaging — is why SIPs are explicitly designed for volatile markets. The crash does not hurt the SIP investor the way it hurts the lump-sum investor. The crash helps the SIP investor, by reducing their average buy price. The negative XIRR you see during the crash is temporary. The extra units you are accumulating are permanent.

When you stop a SIP during a correction, you cut off this mechanism at exactly the moment it is most powerful. You keep the temporary pain of the negative XIRR and give up the future gain of the cheaper units.

Theory is reassuring. Historical data is conclusive. Across every major market correction in India over the past 20 years, equity SIP investors who continued their instalments significantly outperformed those who paused or stopped.

The pattern is consistent across every correction: investors who continued SIPs saw dramatically higher XIRR two years later than where they stood at the trough. The magnitude of recovery in XIRR was amplified precisely because of the cheap units accumulated during the crash months.

XIRR's sensitivity to the most recent NAV is not a flaw — it is mathematically correct behaviour. But it creates a perceptual problem for investors who interpret each XIRR reading as a permanent verdict rather than a current snapshot.

Consider a concrete example. A ₹5,000/month SIP running for 24 months in a Nifty 50 index fund:

The SIP did not change. The fund did not change. The investor did not change. The NAV changed — and XIRR responded accordingly. This 18-percentage-point swing between January and September happened without a single investment decision being wrong.

Not every negative SIP return is benign. There is a real distinction between a market-wide correction (which affects all equity funds) and a fund-specific underperformance problem (which requires action). Here is how to tell them apart.

The diagnostic question is simple: is your fund underperforming its category average and its benchmark index by a meaningful margin? If yes, consistently, over 3+ years — that warrants a fund switch. If no — the fund is doing what the market is doing, and your negative return is a market condition, not a fund selection error.

When you see negative SIP returns, there are exactly three productive actions. Everything else — stopping, switching, panicking, waiting — is either harmful or irrelevant. Do these in order.

There is a concept in financial planning called sequence of returns risk — the idea that the order in which you receive good and bad returns matters as much as the average return. For retirees drawing down a portfolio, bad early returns are catastrophic. For SIP investors accumulating wealth, the opposite is true.

If you receive bad returns early in your SIP and good returns later, you benefit. The bad early period accumulates units at low prices. The good later period values those cheap units at higher NAV, amplifying your corpus. This is the exact opposite of what most investors fear.

If you receive good returns early and bad returns late, you are hurt less than a lump-sum investor. You already accumulated a large portion of your units at reasonable prices during the good years. The late correction only affects the most recent instalments — not the entire corpus built over years.

The implication: SIPs are structurally better at handling sequence of returns risk than lump-sum investments. The very thing investors fear most — a bad early sequence — is the scenario where SIPs excel. For investors with 10 or more years remaining, short-term negative returns are not just tolerable. They are actively useful.

Here is a concrete, timeline-based action plan. Not theory — specific steps with specific timing.

Also read: XIRR vs CAGR: Why Most Investors Are Looking at the Wrong Return Number to understand exactly how your returns are being measured and why the same investment can look different depending on which metric you use.