Conceptual · Article 1.1.3.3

Smart Beta ETFs.

Rule-Based Factors. Boring Discipline. Patience Required.

Published as on 17 June 2026

A Smart Beta ETF is a rule-based investment fund that follows specific factor strategies (value, quality, low volatility, momentum, equal weight) instead of simply copying the market. Sits between regular index funds (mirror market) and actively managed funds (manager picks stocks). Active in strategy design, passive in execution. Tax under Finance Act 2024: 20% STCG, 12.5% LTCG with ₹1.25L exemption. Mechanical rebalancing (semi-annual or quarterly). Liquidity hierarchy critical — Tier 1 funds (Momentum, Alpha) much safer than Tier 3. Patience required: 3-5 year underperformance is normal.

Rules-based

Factor strategy

0.20-0.55%

Direct expense

Semi-annual

Rebalance frequency

3-5 yr

Underperformance norm

Executive Summary · Page 2

Executive Summary · 6 Findings

Smart Beta ETFs follow mechanical rules to tilt portfolios toward characteristics (value, quality, low volatility, momentum) that academic research suggests deliver better long-term outcomes. Sits between plain index funds (no view) and active funds (manager view). The hardest part isn't choosing the right factor — it's sticking with it during 3-5 years of underperformance before the factor 'comes back into favour.'

Covers index methodology (e.g., Nifty50 Value 20 four-factor scoring), rebalancing mechanics (semi-annual for Value/Quality/Low Vol; quarterly for Momentum/Alpha), tax under Finance Act 2024 (20% STCG, 12.5% LTCG), liquidity hierarchy (Tier 1/2/3 with concrete AUM and volume thresholds), behavioural trap of factor timing, and the seven retail questions.

Key Findings

Active in design, passive in execution.

Rule-based: Nifty50 Value 20 scores all 50 Nifty companies on ROCE (25%) + P/E (25%) + P/B (25%) + Dividend Yield (25%); selects top 20. Methodology published, followed mechanically — no human discretion. Once launched, no fund manager makes judgment calls. The 'active' decision is the choice of which rules to follow (value vs quality vs momentum); execution is passive.

Four common factor strategies.

(1) Value: low P/E, low P/B, high dividend yield (Nifty50 Value 20). (2) Low Volatility: lowest standard deviation of returns over 12 months (Nifty Low Volatility 30). (3) Quality: strong balance sheets, high ROE, low debt (Nifty100 Quality 30). (4) Momentum: recent winners (Nifty200 Momentum 30, UTI Nifty50 Momentum Quality 50). (5) Equal Weight: each stock same weight regardless of size.

Rebalancing: semi-annual (most) or quarterly (Momentum).

Value, Quality, Low Volatility: semi-annual rebalance (June, December). Momentum, Alpha: quarterly (Mar, Jun, Sep, Dec) to capture trends faster. Equal Weight: quarterly to maintain equal allocations as prices drift. Higher frequency = higher turnover costs embedded. Multi-factor strategies have 0.50-0.75% tracking difference vs 0.20-0.30% for simpler strategies.

Tax: same as broad equity ETFs (Finance Act 2024).

STCG (≤12 mo): 20% flat. LTCG (>12 mo): 12.5% on gains above ₹1.25L exemption (cumulative across all equity investments). Example (HDFC Nifty100 Quality 30 ETF): ₹2L Mar 2025, sold Nov 2025 (8 mo) at ₹2.4L. STCG ₹40K × 20% = ₹8K. Same as Nifty 50 ETF. Note: International Smart Beta ETFs (S&P 500 Low Volatility) may be taxed as debt if <65% Indian equity — verify.

Liquidity hierarchy critical — Tier 1 vs Tier 3.

Tier 1 (safe): UTI Nifty50 Momentum Quality 50 ETF (AUM ₹8,683 cr, daily volume ₹15+ cr), ICICI Pru Alpha Low-Vol 30 (AUM ₹3,757 cr, ₹8+ cr); spreads 0.05-0.10%. Tier 2 (caution): HDFC Nifty100 Quality 30 (AUM ₹850 cr, ₹2-3 cr); spreads 0.15-0.30%. Tier 3 (high risk): HDFC Nifty50 Value 20 (AUM ₹37 cr, ₹20-40 lakh); spreads 0.40-0.80%. Impact cost on ₹5L: Tier 1 ~₹150; Tier 3 ~₹3,250.

Factor timing is the behavioural trap.

Smart Beta funds can underperform broad market for 3-5 years before factor 'comes back.' Value-focused fund underperforms during growth-stock dominance (2017-2020 India). Outperforms when valuations matter (2022-2023 correction). The hardest discipline isn't picking the right factor — it's sticking with it through multi-year underperformance. SIP without commitment to 7-10+ years often means buying high (good performance) and selling low (underperformance).

At A Glance

Metric	Value	Detail
Strategy	Rule-based factor	Mechanical execution
Common Factors	Value, Quality, Low Vol, Momentum	Plus Equal Weight
Rebalance	Semi-annual (most)	Quarterly for Momentum
Direct Expense	0.20-0.55%	vs 0.05-0.15% plain index
STCG	20%	≤12 mo
LTCG	12.5%	>12 mo, above ₹1.25L
Min AUM Target	₹100+ cr	Preferably ₹500+
Min Daily Volume	₹50 lakh+	Preferably ₹2+ cr

Exhibit 01: Liquidity Tiers

Tier	Example	AUM
Tier 1 (Safe)	UTI Nifty50 Mom Quality 50	₹8,683 cr
Tier 1 (Safe)	ICICI Alpha Low-Vol 30	₹3,757 cr
Tier 2 (Caution)	HDFC Quality 30	₹850 cr
Tier 3 (Risk)	HDFC Value 20	₹37 cr

Impact cost example: ₹5L purchase in Tier 1 momentum (spread 0.03%) = ₹150 slippage. Same in Tier 3 value (spread 0.65%) = ₹3,250. Over 10 round-trip transactions over 5 years, low liquidity costs ₹32,500 — erasing any factor premium advantage.

The Opening · Page 3

The Opening

Smart Beta ETFs follow a different recipe than market-cap index funds. Where a Nifty 50 ETF owns stocks in proportion to company size, Smart Beta funds use pre-decided rules to select or weight stocks based on specific characteristics: low P/E (value), stable price (low volatility), strong balance sheets (quality), or recent winners (momentum). The 'active' decision is the choice of which rules to follow; execution is mechanical, passive, transparent.

"Smart Beta ETFs are tools, not upgrades. They make sense if you understand and accept that underperforming the market for extended periods is normal. They don't make sense if you're looking for guaranteed better returns, will panic during multi-year underperformance, or are attracted only to recent performance charts. The hardest part isn't choosing the right factor — it's sticking with it for 7-10+ years regardless of relative performance."
The Active-Design-Passive-Execution Frame

The mathematics. Smart Beta funds charge 0.20-0.55% (Direct) vs 0.05-0.15% for plain index funds — premium for more complex index construction and frequent rebalancing. Tracking difference 0.20-0.30% for simpler strategies; 0.50-0.75% for multi-factor. Tax identical to broad equity ETFs (20% STCG, 12.5% LTCG with ₹1.25L exemption). ₹10L over 10 years on Smart Beta at 13% gross with 0.35% expense: ₹18.5L vs Active Fund at 1.5%: also ~₹18.5L but fees ₹3L total vs Smart Beta ₹70K. ₹2.3L fee savings.

Feb 2026 context. SEBI 2026 framework caps ETF BER at 0.90%; Smart Beta typically 0.20-0.55% Direct. Brokerage cap reduced 12 bps → 6 bps. Liquidity hierarchy across funds varies enormously: Tier 1 (UTI Momentum Quality 50 AUM ₹8,683 cr) safe for ₹50L+ positions; Tier 3 (HDFC Value 20 AUM ₹37 cr) high impact cost even on ₹5L orders. Liquidity often more important than factor purity for retail investors.

The Honest Boundary: Smart Beta ETFs reward patient, disciplined investors with 7-10+ year horizons who genuinely understand factor investing. They punish investors who chase recent factor outperformance or switch when their chosen factor underperforms. For most Indian investors, a simple low-cost Nifty 50 or Nifty 500 index fund is sufficient. Smart Beta adds complexity that only pays off if you truly understand and commit to the specific factor exposure.

Structure

Part I

How Smart Beta Works, Four Common Strategies, Rebalancing

Part II

Tax, Cost vs Active, Tracking Error vs Performance Difference

Part III

Liquidity Hierarchy, Behavioural Trap, Selection

Part IV

The Verdict: Discipline Required, Patience Rewarded

Use If

✓ 7-10+ year horizon

✓ Specific factor view

✓ Tier 1/2 liquidity verified

✓ Can stick through underperformance

Do NOT Use If

✕ Want guaranteed outperformance

✕ Will switch on factor underperformance

✕ Attracted to recent performance

✕ Tier 3 low-liquidity ETF

Part I

How Smart Beta Works, the Four Common Factor Strategies, and Rebalancing Mechanics

The mechanics of rule-based factor scoring (e.g., Nifty50 Value 20 four-factor weighted methodology), the four main factor strategies accessible in India, and the rebalancing schedules that determine turnover costs and tracking error.

Part I · Page 4

Step 1: Index Methodology

Example: Nifty50 Value 20

Universe: All 50 Nifty companies

Scoring (each weighted 25%):
• Return on Capital Employed (ROCE)
• Price-to-Earnings (P/E) ratio
• Price-to-Book (P/B) ratio
• Dividend Yield

Selection: Top 20 by combined score → become index constituents. Published publicly, followed mechanically.

Four Common Strategies

Value

Low P/E, low P/B, high dividend yield. Example: Nifty50 Value 20. Works when valuations matter (post-bubble corrections).

Low Volatility

Lowest standard deviation of returns over 12 months. Example: Nifty Low Volatility 30. Protects in downturns, lags in strong bulls.

Quality

Strong balance sheets, high ROE, low debt. Example: Nifty100 Quality 30. Shines during stress; lags in speculation.

Momentum

Recent winners. Example: Nifty200 Momentum 30, UTI Nifty50 Momentum Quality 50. Excels in trends; suffers in choppy markets.

Rebalancing Schedule

Strategy	Frequency
Value, Quality, Low Vol	Semi-annual (Jun, Dec)
Momentum, Alpha	Quarterly (Mar/Jun/Sep/Dec)
Equal Weight	Quarterly

Rebalancing Example (Nifty Low Vol 30)

June 2025 rebalancing:

1. NSE recalculates volatility for all Nifty 100 stocks over past 12 months

2. Ranks stocks by lowest volatility

3. Selects new top 30

4. Stock #28 (volatility increased) → dropped. Stock #35 (volatility decreased) → added

5. ETFs tracking index must sell #28, buy #35 on rebalancing date

Rebalancing Cost Impact

Frequency	Turnover Cost	Tracking Diff
Semi-annual	Moderate	0.20-0.30%
Quarterly	Higher	0.40-0.50%
Multi-factor	Highest	0.50-0.75%

Tax Efficiency Benefit

ETF structure: you don't pay capital gains tax on internal rebalancing (unlike active mutual funds where buy/sell triggers taxable events for the fund). Only your redemption triggers tax. Significant advantage for active strategies with high turnover.

vs Regular Index ETF

Feature	Plain Index	Smart Beta
Selection	Top 50 by size	30 by factor score
Weighting	Market cap	Factor-based
Tracking	Market returns	Intentionally different
Manager Decisions	None	None (post-launch)
Holdings Change	Rarely	Semi-annual+
Behavioural	Easy to stick	Hard — multi-yr underperf

The intentional differentiation: Smart Beta is designed to behave differently from broad market — that's the point. A Value Smart Beta avoiding expensive tech stocks while market rallies on tech is doing exactly what it's designed to do, even if it underperforms Nifty 50 for years.

Part II

Tax, Cost vs Active, and Tracking Error vs Performance Difference

Why Smart Beta tax treatment is identical to broad equity ETFs (Finance Act 2024), the meaningful cost advantage over active funds (~₹2.3L savings on ₹10L over 10 years), and the critical distinction between tracking error (executing well) and performance difference (underperforming Nifty 50 by design).

Part II · Page 6

Tax — Finance Act 2024

STCG (≤12 mo): 20%

Example: ₹2L in HDFC Nifty100 Quality 30 ETF on March 15, 2025. Sold November 20, 2025 (8 mo) for ₹2.4L.
Gain ₹40K → tax 20% = ₹8K. Net proceeds ₹2.32L.

LTCG (>12 mo): 12.5% above ₹1.25L

Example: ₹5L in UTI Nifty50 Value 20 ETF on April 10, 2024. Sold June 15, 2025 (14 mo) for ₹6.5L.
Gain ₹1.5L → exempt ₹1.25L → taxable ₹25K × 12.5% = ₹3,125. Net proceeds ₹6,46,875.

International Smart Beta Caveat

Important nuance: International Smart Beta ETFs (like FoF investing in S&P 500 Low Volatility) may be taxed as DEBT (slab rate) if they don't meet the 65% domestic equity threshold. Always verify fund classification. 30%-slab investor on ₹50K gain: domestic equity Smart Beta ₹0 (below exemption); international Smart Beta ₹15K.

10-Year Cost Comparison

Fund Type	Annual Expense	10-yr Fees on ₹10L SIP
Smart Beta ETF	0.35%	~₹70K
Active Large-Cap	1.50%	~₹3 lakh
Fee savings vs active	1.15%	~₹2.3 lakh

Tracking Error vs Performance Difference

Critical Distinction

Tracking Error: how well ETF follows ITS index. Nifty Low Vol 30 ETF with 0.2% tracking error = doing its job well (copies Low Vol index accurately).

Performance Difference: how the Low Vol INDEX itself differs from Nifty 50. Index might underperform Nifty 50 by 8% in bull year — that's BY DESIGN.

Key insight: Smart Beta ETF can have excellent tracking error (perfect strategy execution) while simultaneously underperforming broad market for years. The underperformance is intentional based on factor strategy, not a sign the ETF is broken.

When Each Factor Works

Factor	Favourable	Unfavourable
Value	Post-bubble correction	Growth-led rallies
Quality	Market stress	Speculative booms
Low Vol	Downturns	Strong bull markets
Momentum	Trending markets	Choppy/directionless

Tax Comparison Summary

ETF Type	Tax
Domestic Smart Beta	12.5% LTCG (above ₹1.25L)
International Smart Beta FoF	Slab rate (if <65% Indian equity)
Plain Nifty 50 ETF	12.5% LTCG (same)

The structural cost story: Smart Beta sits between plain index (lower cost ~0.05-0.15%) and active (higher cost 1.5-2.5%). Premium of 0.20-0.40% over plain index funds reflects more complex construction. Pays off if you commit to factor strategy for 7-10+ years AND choose Tier 1 liquidity. Without these conditions, plain index fund is structurally better.

Part III

Liquidity Hierarchy, the Behavioural Trap, and Selection Framework

Why liquidity often matters more than factor purity for retail investors, the three-tier hierarchy (Tier 1 safe, Tier 2 caution, Tier 3 high-risk) with concrete examples, the behavioural trap of factor timing that destroys returns, and the practical selection thresholds.

Part III · Page 8

Liquidity Hierarchy (Feb 2026)

Tier 1 — Safe for Most Investors

UTI Nifty50 Momentum Quality 50 ETF: AUM ₹8,683 cr, daily vol ₹15+ cr.
ICICI Pru Alpha Low-Vol 30 ETF: AUM ₹3,757 cr, daily vol ₹8+ cr.
Spreads 0.05-0.10%. Can trade ₹50L+ without significant impact.

Tier 2 — Proceed with Caution

HDFC Nifty100 Quality 30 ETF: AUM ₹850 cr, daily vol ₹2-3 cr.
Mirae Smallcap Momentum Quality: AUM ₹420 cr, daily vol ₹1-2 cr.
Spreads 0.15-0.30%. Workable for investments under ₹10L.

Tier 3 — High Risk

HDFC Nifty50 Value 20 ETF: AUM ₹37 cr, daily vol ₹20-40 lakh.
Spreads 0.40-0.80%. Difficult to exit large positions.

Impact Cost Example (₹5L)

Tier	Spread	Slippage
Tier 1 (Momentum)	0.03%	₹150
Tier 3 (Value)	0.65%	₹3,250

Over 10 round-trip transactions over 5 years: low liquidity costs ₹32,500 — erasing any factor premium advantage. Key insight: theoretically superior factor strategy in Tier 3 ETF can underperform simpler strategy in Tier 1 ETF purely due to transaction costs.

Minimum Selection Thresholds

Metric	Minimum	Preferred
AUM	₹100 cr	₹500+ cr
Daily Volume	₹50 lakh	₹2+ cr
Bid-Ask Spread	< 0.30%	< 0.10%

The Behavioural Trap

Factor Timing Destroys Returns

Smart Beta funds can underperform broad market 3-5 years continuously before factor 'comes back into favour.' Tests patience severely.

Real pattern (India 2017-2023):
2017-2020: Value-focused Smart Beta UNDERPERFORMED as expensive growth/tech dominated.
2022-2023: Value OUTPERFORMED when valuations corrected sharply.

Investor pattern: chase momentum (recent winners) → buy after big gains → switch to value when momentum underperforms → just as value's underperformance ends. Buy high, sell low.

When Smart Beta Makes Sense

✓ You understand and accept multi-year underperformance is normal

✓ Specific reason to tilt to factor (nearing retirement = low vol)

✓ ETF has adequate liquidity (daily vol ₹50L+, AUM ₹100 cr+)

✓ Willing to research which factor aligns with your situation

✓ Can resist switching factors based on recent performance

WHEN IT DOESN'T MAKE SENSE

✕ Looking for guaranteed better returns

✕ Will panic-sell during multi-year underperformance

✕ Attracted only to recent performance charts

✕ ETF has poor liquidity (Tier 3)

✕ Don't understand why you're choosing one factor over another

Default for most: simple low-cost Nifty 50 or Nifty 500 index fund is often sufficient. Smart Beta adds complexity that only pays off if you truly understand and commit to the specific factor exposure for 7-10+ years through underperformance. Don't choose Smart Beta because it sounds sophisticated.

Part IV

The Verdict

Discipline required. Patience rewarded. Liquidity matters.

Part IV: The Verdict · Page 10

30-Second Summary

Smart Beta ETFs are rule-based investment funds that follow specific factor strategies (value, quality, low volatility, momentum, equal weight) instead of copying the market. Active in strategy design, passive in execution. Sits between plain index funds and active funds. Tax under Finance Act 2024 identical to broad equity ETFs: 20% STCG, 12.5% LTCG with ₹1.25L exemption. SEBI 2026 BER framework caps ETFs at 0.90%; Smart Beta typically 0.20-0.55% Direct.

Liquidity hierarchy is critical and often matters more than factor purity for retail investors. Tier 1 funds (UTI Momentum Quality 50, ICICI Alpha Low-Vol 30) safe for ₹50L+ positions. Tier 3 funds (HDFC Value 20) impose ₹3K+ impact cost on ₹5L orders. Factor timing is the behavioural trap — Smart Beta can underperform 3-5 years before factor returns to favour. Most investors who chase recent factor outperformance and switch during underperformance buy high and sell low.

"Smart Beta ETFs are tools, not upgrades. They reward investors who understand factor investing and commit to a strategy for 7-10+ years through multi-year underperformance. They punish investors who chase recent factor winners or panic-switch when their chosen factor underperforms. For most Indian investors, a simple Nifty 50 or Nifty 500 index fund is sufficient. Choose Smart Beta only if you have a specific reason to tilt and the patience to stick with it."
The Final Orientation

The Bottom Line: Use Smart Beta ETFs only if (1) 7-10+ year horizon, (2) specific factor alignment with your situation (low vol near retirement, etc.), (3) Tier 1 or Tier 2 liquidity verified (AUM ₹100+ cr, daily volume ₹50L+, bid-ask spread <0.30%), (4) commit to factor through multi-year underperformance, (5) understand difference between tracking error (execution) and performance difference (intentional design). Default for most retail: plain Nifty 50 ETF or Nifty 500 index fund. International Smart Beta FoFs may be taxed as debt (slab rate) if <65% Indian equity — verify before investing.

ADWIZR · June 2026

Decision Rules

Use Correctly As

✓ 7-10+ year horizon

✓ Tier 1 or Tier 2 liquidity

✓ Specific factor reason

✓ Commit through underperformance

Misuse Destroys Value

✕ Tier 3 low-liquidity

✕ Chase recent factor returns

✕ Switch on factor underperformance

✕ Sophisticated for its own sake

Triggers to Reassess

When to Open the Factsheet Again

(1) Liquidity deteriorates (volume falls below ₹50L/day) — consider exit before spreads widen further. (2) Factor exposure changes materially (rebalancing methodology revision) — re-evaluate fit. (3) Personal situation shifts (retirement nearing) — may need to shift from momentum to low vol. (4) Expense ratio rises above 0.50% (Direct) — switch lower-cost peer.

0.35%

Avg expense

Direct

3-5 yr

Underperformance

Norm to expect

Tier 1

Liquidity target

₹500+ cr AUM

Investor FAQ

Questions Indian Investors Ask

Seven questions, answered directly.

Investor FAQ · Page 12

Frequently Asked Questions

Q1 Are Smart Beta ETFs actively managed?

No. Smart Beta ETFs follow pre-defined, mechanical rules — no fund manager makes daily decisions. However, the choice of which rules to follow (value vs quality vs momentum) is itself a strategic decision made at the index design level. Think of it as 'active strategy design, passive execution.'

Q2 Why do expense ratios vary among Smart Beta ETFs?

Smart Beta typically charges 0.20-0.55% (Direct) vs 0.05-0.20% for plain index ETFs because underlying indices require more complex construction and frequent rebalancing. Rebalancing Low Volatility 30 semi-annually requires recalculating volatility for 100+ stocks — more complex than tracking the 50 biggest companies. Costs have decreased due to AMC competition.

Q3 Can Smart Beta ETFs lose money even when market goes up?

Yes, absolutely. If you own a Value Smart Beta fund and market rally is driven by expensive growth stocks (which value funds avoid), your fund can stay flat or decline while Nifty 50 rises. This happened in India 2017-2019 when expensive IT and consumer stocks led market gains while cheap, traditional sectors lagged.

Q4 How often do Smart Beta ETFs change holdings?

Most Smart Beta ETFs tracking NSE strategy indices rebalance semi-annually in June and December. Higher-turnover strategies like Momentum or Alpha-focused funds may rebalance quarterly to capture trends faster. Rebalancing schedule published in advance in index methodology — no surprises.

Q5 Suitable for SIP?

Yes, but with caveat. SIPs work well if you're committed to factor strategy for 7-10+ years regardless of relative performance. If you might stop SIP because fund underperforms Nifty 50 for 2-3 years, you'll likely buy high (good performance) and sell low (underperformance) — exactly what SIPs are meant to avoid.

Q6 Do Smart Beta ETFs work better in certain conditions?

Yes. Each factor has favourable and unfavourable environments. Value: post-bubble corrections / struggles in growth-led rallies. Quality: market stress / may lag speculative booms. Low Volatility: downturns / underperforms strong bulls. Momentum: trending markets / suffers in choppy markets. Timing factor exposure is difficult — you'd need to predict regime changes accurately.

Q7 Can I hold Smart Beta alongside regular index funds?

Yes, sensible 'core-satellite' approach. Example: 70% in plain Nifty 500 index fund for core market exposure + 30% in Low Volatility Smart Beta for reduced portfolio fluctuations. Gives both market returns and specific factor tilts without going all-in on one strategy.

Key Terms & Definitions

Smart Beta ETF

A rule-based exchange-traded fund that follows specific factor strategies (value, quality, low volatility, momentum, equal weight) instead of simply tracking market-cap-weighted indices. Active in strategy design, passive in mechanical execution.

Factor Strategies

Five common Smart Beta approaches: (1) Value — low P/E, P/B, high dividend yield. (2) Low Volatility — lowest price swings. (3) Quality — strong balance sheets, high ROE. (4) Momentum — recent winners. (5) Equal Weight — each stock same weight regardless of size.

Tracking Error vs Performance Difference

Tracking Error: how well ETF follows ITS specific index (good Smart Beta ETF has ~0.2% TE). Performance Difference: how the Smart Beta INDEX itself differs from broad Nifty 50 (can underperform by 8% in bull year by design). Critical distinction often confused.

Liquidity Tier System

Three-tier hierarchy for Smart Beta ETFs in India. Tier 1 (AUM ₹3,000+ cr, daily volume ₹8+ cr, spread 0.05-0.10%): safe for most. Tier 2 (AUM ₹400-1,000 cr, volume ₹1-3 cr, spread 0.15-0.30%): caution. Tier 3 (AUM <₹100 cr, volume <₹50 lakh, spread 0.40-0.80%): high impact cost risk.

Factor Timing Trap

The behavioural trap that destroys Smart Beta returns. Investors chase recent factor outperformance, buy after gains realised, switch when chosen factor underperforms — often just as that factor's underperformance ends. Result: buy high, sell low across factor rotations.

Rebalancing Schedule

Mechanical adjustment frequency. Value, Quality, Low Volatility: semi-annual (June, December). Momentum, Alpha, Equal Weight: quarterly (March, June, September, December) to capture trends faster or maintain equal allocations. Higher frequency = higher turnover costs embedded.