SIP works by rupee cost averaging: because you invest the same amount every month, you automatically buy more units when prices are low and fewer units when prices are high. Over time, this averages your purchase cost, rather than betting everything on a single day's price.
Lump sum has no such averaging — your entire outcome depends on how the market performs starting from that one specific entry date. If you invest a lump sum right before a downturn, the entire amount is affected; if you invest right before a rally, the entire amount benefits.
In markets that trend upward over most stretches of time — as Indian equity markets have over multi-decade periods — a lump sum invested earlier has more time exposed to that upward trend than a SIP that only fully invests near the end of its schedule. Purely on average return, lump sum frequently comes out ahead in backtests over long rising periods.
But this comparison assumes something most people don't actually have: a large sum of idle cash sitting around, available to invest all at once. For the vast majority of investors, income arrives monthly — SIP isn't a strategy chosen instead of lump sum, it's simply how most people are able to invest at all.
The more useful comparison isn't "SIP vs. a lump sum you don't have" — it's "a steady SIP vs. a smarter SIP that adjusts with conditions," which is where the real, testable question lies.
This is exactly the kind of question that shouldn't be settled by generic advice — it should be tested. Dynamic SIP Alpha Strategy backtests what happens when you don't just pick "SIP" or "lump sum," but actively adjust a monthly SIP based on market conditions — with the actual return numbers, not a hypothetical.
That piece is a good next step from here: it takes everything in this series — funds, categories, NAV, cost — and applies it to a real, testable strategy question with real numbers attached.