Factor Timing and Cycles

Every factor goes through cycles. Value lagged for most of the 2010s. Momentum broke in early 2020 and again from late 2024. Quality lagged the 2020 to 2021 rally and then slid from an expensive start in 2024. Small caps lost more than half their value from January 2018 to March 2020. Anyone who invested in factors and watched their portfolio underperform the simple index year after year has asked the question: is the factor broken? Should I switch?

This is the most important behavioural challenge in systematic factor investing. My honest answer, after watching these cycles for years, is mostly no: switching factors on recent performance has a poor record, and cycles do turn. The data below shows why.

Value was the worst of these indices over six months, near the top over one year and the best over two. Momentum was last over two years and middling over six months. Pick a window and you can tell any story you like. That is precisely why timing factors on recent results is so hard.

Why factors cycle

Factor cycles have two distinct causes:

1. Valuation cycles (mean reversion)

Factors become expensive and cheap relative to their history. When everyone crowds into a factor, say, momentum in a prolonged bull market, the stocks in that factor portfolio get bid up above their fair value. Expected future returns compress. Eventually the factor "mean-reverts", either through a crash or a long period of muted returns while the valuation premium is digested.

2. Economic regime cycles

Different economic environments favour different factors:

The case FOR factor timing

There's a reasonable argument for adjusting factor exposures based on valuation spreads. When value stocks are trading at historically wide discounts to growth stocks, expected returns to value are higher than normal. This is documented, factor valuation spreads have some predictive power for future factor returns over 3 to 5 year horizons.

Similarly, when momentum is at historically high valuations (momentum stocks trading at extreme premiums to their own history), the risk of a momentum crash is elevated. Some sophisticated factor investors reduce momentum exposure at these times.

Research: Asness, Chandra, Ilmanen and Israel (2017), "Contrarian Factor Timing is Deceptively Difficult", Journal of Portfolio Management.

The case AGAINST factor timing, and why it's stronger

Despite the theoretical appeal, the evidence for successfully timing factors in practice is weak. Here's why:

• Factor cycles are long and irregular, Value lagged for about a decade in the US before its recovery from 2021. If you exited value after 2 years of underperformance, you missed the eventual payoff. The signal-to-noise ratio for timing is terrible.
• Valuation spreads are imprecise predictors, even if wide value spreads predict better value returns over 5 years, they're terrible at predicting returns over 1 year, which is when most investors would actually change their allocation.
• You add another layer of decision-making error, every active decision you add is another opportunity to make a behavioural mistake. The primary reason systematic investing works is that it removes these decisions. Factor timing adds them back in.
• The market impact of switching, switching from a momentum portfolio to a value portfolio generates transactions, costs, and tax events. The switching cost must be overcome by the timing benefit. In practice, it rarely is.

What to do instead: strategic factor allocation

Rather than tactical timing, the evidence supports strategic, long-horizon factor allocation with these principles:

• Diversify across factors from the start, a multi-factor portfolio from day one means you're never fully dependent on a single factor's cycle
• Set a rebalancing rule and stick to it, annual rebalancing back to target factor weights, regardless of recent performance, captures some of the mean reversion effect without active timing
• Use drawdown events to add, not subtract, when a factor you believe in has a significant drawdown (value down 20%, momentum down 30%), that's typically a better entry point, not an exit point
• Measure in 5-year windows, short-term underperformance should be expected and budgeted for. Evaluate factor performance only over full cycles (5+ years)

A worked example: the cost of chasing the last winner

Run the scenario above in rupees. ₹10 lakh split evenly between NSE's momentum and value indices on 9 April 2026. Option one: hold the 50/50 split. Six months later the portfolio is worth about ₹9.47 lakh, down 5.3%. Option two: move it all into value, last year's winner. Six months later it is about ₹9.16 lakh, down 8.4%. The switch cost about ₹31,000 on ₹10 lakh, before the extra trading costs and the tax on the gains booked to make it.

Common mistakes with factor cycles

How this shows up in RupeeCase

RupeeCase strategies are rules meant to be held through cycles, and each strategy page shows its model, back tested history with the worst drawdowns dated, so you can see the bad stretches before you invest. Allcap's own worst run, from December 2024 to April 2026, is the momentum cycle described here, seen from the inside. The one strategy in the lineup that deliberately shifts with conditions, the Dynamic Asset Allocator, does it by a published rule between equity, debt and gold, never by a call made in the moment.