That question has a few layers worth unpacking, because "best" depends heavily on what you're measuring and over what period.
Factor returns are cyclical — each factor has multi-year periods of outperformance and underperformance. [1] Picking the "best" factor ETF by recent returns is essentially factor-timing, which is notoriously difficult.
| Factor | Documented Indian Premium | Key Risk |
|---|---|---|
| Momentum | 3–5% p.a. over Nifty 200 — one of the highest globally | Sharp reversals (e.g., March 2020 drawdowns) |
| Quality | Most consistent premium of any Indian factor | Can lag in speculative bull markets |
| Value | ~1.5–2% p.a. over Nifty 500 | Long stretches of underperformance |
| Low Volatility | Near-Nifty returns, significantly lower drawdowns | Lags in strong bull runs |
| Size (Mid-cap) | ~2–3% p.a. over Nifty 50 | 40–50% drawdowns in downturns |
Before choosing a factor ETF, screen it on these criteria: [2]
A multi-factor blend — e.g., equal-weight combination of Quality + Momentum + Low Volatility, rebalanced annually — has historically delivered better risk-adjusted returns in India than any single factor index alone, because the factors partially offset each other's bad periods. [7]
Give you a pick. What it will do: teach you to compare live Tracking Error — definition">tracking error, fee data, and performance vs. the stated benchmark yourself.
Apply this → Head to Benchmarks / ETFs and filter by factor category. Compare each ETF's tracking error and performance versus its factor index — not versus Nifty 50, which is the wrong benchmark for a factor product. [2]