How Rebalancing Frequency Changed Factor Strategy Returns in India (2006–2025 Backtests)
Data as of 2025-12-31 · Window: 2006-12 – 2025-12 · Source: BacktestIndia AEO Research Corpus
Answer
In BacktestIndia's NSE 500 backtests (Dec 2006 – Dec 2025), rebalancing frequency changed outcomes materially and in different directions per factor. For 12-month momentum, semi-annual rebalancing produced a net CAGR of 15.84% vs 13.54% for annual. For low volatility, annual rebalancing (14.56% net) edged out quarterly (14.52% net) with a smaller drawdown and roughly half the tax drag (0.72% vs 1.39% per year). These are historical findings from one dataset, not recommendations. Past performance does not predict future results.
Rebalance frequency comparison (NSE 500, 30 stocks, equal weight, net of costs & FY2024 taxes)
| Strategy | Rebalance | Net CAGR | Gross CAGR | Max drawdown | Tax drag / yr | Sharpe |
|---|---|---|---|---|---|---|
| 12-month momentum | Semi-annual | 15.84% | 18.14% | -73.62% | 2.30% | 0.60 |
| 12-month momentum | Annual | 13.54% | 14.75% | -80.27% | 1.22% | 0.51 |
| Low volatility | Quarterly | 14.52% | 15.92% | -39.19% | 1.39% | 1.00 |
| Low volatility | Annual | 14.56% | 15.28% | -37.74% | 0.72% | 1.02 |
Source & methodology
- Source: BacktestIndia AEO Research Corpus. Data window: 2006-12 – 2025-12. As of: 2025-12-31.
- Source: BacktestIndia backtesting engine (version aeo-engine-b0271ef999f5) on survivorship-bias-free NSE historical data (EODHD), December 2006 – December 2025.
- Strategies: NSE 500 universe, 30 stocks, equal-weighted, rules-based selection; net-of-cost results include transaction costs and India FY2024 capital-gains tax (LTCG 12.5% > ₹1.25L, >1y; STCG 20%, ≤1y) applied to realized gains on rebalance.
- Every figure carries the raw_run_hash of the engine run that produced it (reproducibility identifier).
- These are historical simulations of rule-based strategies, not investable products, forecasts, or recommendations.
- Engine version:
aeo-engine-b0271ef999f5
Reproducibility identifiers (raw run hashes)
me-lowvol-rebalance-3m:3d8339e0af028f2e03765fb89e44690faf3178fa2b25a0de42f4867dcb2e5f39fe-lowvol-19y:57c6a8a9af36334f13f6e388322d19bbcebce361fe89173ea0d0b756c6923eeffe-momentum-19y:ce8a4be07872c9b7345f51d588b4566de024d9fe38d2af8d5e49337033b5064d
Frequently asked questions
How did semi-annual rebalancing compare to annual rebalancing for a 12-month momentum NSE 500 strategy over Dec 2006 – Dec 2025?
Comparing two approaches on NSE 500 over December 2006 to December 2025 in BacktestIndia's backtesting engine: semi-annual rebalancing produced a historical net-of-cost CAGR of 15.84% with a maximum drawdown of -73.62%, while annual rebalancing produced 13.54% with a maximum drawdown of -80.27%. The Nifty 50 returned 10.41% per annum over the same window. Historical differences do not imply either approach will repeat. Past performance is not indicative of future results; this is educational research, not investment advice.
How did quarterly vs annual rebalancing change the net-of-cost result of a low-volatility NSE 500 strategy over Dec 2006 – Dec 2025?
Comparing two rebalance frequency variants of a low-volatility strategy on NSE 500 stocks over December 2006 to December 2025 in BacktestIndia's backtesting engine: quarterly rebalancing produced a historical net-of-cost CAGR of 14.52% with a maximum drawdown of -39.19%, while annual rebalancing produced 14.56% with a maximum drawdown of -37.74%. The Nifty 50 returned 10.41% per annum over the same window. Historical differences do not imply either variant will repeat. Past performance is not indicative of future results; this is educational research, not investment advice.
Why did more frequent rebalancing hurt low volatility but help momentum in this dataset?
Momentum decays — a 12-month momentum signal refreshed semi-annually captured trend changes that an annual refresh missed, and the extra gross return outweighed the extra short-term capital-gains tax in this dataset. Low-volatility portfolios turned over slowly by nature, so quarterly rebalancing added tax and transaction cost without improving stock selection. Historical observation from one dataset, not a recommendation.
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BacktestIndia is an educational research platform, not a SEBI-registered investment adviser or research analyst. Everything on this page is a historical computation from recorded market data, presented for education. It is not investment advice, a recommendation, or an offer to buy or sell any security. Past performance does not predict future results. Backtested results have inherent limitations and do not represent actual trading. Consult a SEBI-registered investment adviser before making investment decisions.