Value-Focused Portfolio Rotation: A Quantitative Approach

Table of Contents

1. Introduction
2. The 70/20/10 Factor Weighting Strategy
3. Valuation Metrics Deep Dive
4. Safety Filters and Momentum Indicators
5. Rotation Rules and Risk Management
6. Implementation and Performance
7. Conclusion

Introduction

This is part three of the series. In part one on quality and profitability, we covered the durability side, and in part two on valuation and shareholder yield, we explored how to score the price you pay and cash you get back. Now we’ll combine these ideas into a systematic portfolio rotation strategy that puts it all together.

Portfolio rotation strategies aim to systematically adjust holdings based on changing market conditions and relative valuations. Traditional approaches often rely heavily on momentum or equal weighting, but our Value-Focused Portfolio Rotation strategy takes a different approach - prioritizing valuation while incorporating quality and safety factors.

This strategy emerged from our work on the Dow-Based Smart Rotation Portfolio, where we sought to create a systematic approach that could:

• Identify undervalued opportunities within a quality universe
• Protect against downside risk through safety filters
• Maintain disciplined turnover to avoid overtrading
• Balance quantitative rigor with practical implementation

The 70/20/10 Factor Weighting Strategy

Our approach uses a three-factor model with deliberate weight allocation:

Factor Breakdown

• 70% Valuation - Primary driver for identifying opportunities
• 20% Quality - Ensures fundamental business strength
• 10% Safety (Anti-Momentum) - Protects against recent underperformers

Rationale for Weighting

70% Valuation: The heavy emphasis on valuation reflects our core belief that buying quality businesses at attractive prices is the most reliable path to long-term returns. This weight ensures that valuation advantages drive most portfolio decisions.

20% Quality: While valuation is primary, we avoid “value traps” by ensuring businesses have strong fundamentals. This factor acts as a quality gate, preventing investments in companies that are cheap for good reasons.

10% Safety: The small but crucial safety allocation serves as a risk management overlay. By penalizing recent underperformance, we avoid catching falling knives and provide a behavioral check against emotional decision-making.

Valuation Metrics Deep Dive

Our valuation approach uses multiple metrics to avoid reliance on any single measure:

Core Valuation Components

1. P/E vs 3-Year Median

   • Compares current P/E to historical 3-year median
   • Accounts for cyclical variations in earnings
   • Normalizes for business cycle effects

2. EV/EBITDA vs Sector Median

   • Enterprise value multiple for capital structure neutrality
   • Sector comparison accounts for industry-specific valuations
   • Less affected by accounting differences than P/E

3. P/B vs Historical Range

   • Price-to-book compared to company’s own historical range
   • Useful for asset-heavy industries
   • Provides long-term valuation context

4. Dividend Yield vs Median

   • Current yield compared to historical and sector medians
   • Additional valuation signal, especially for mature companies
   • Provides income component to total return

Valuation Score Calculation

Each metric is normalized and combined using our weighted approach:

Valuation Score = 0.35 * P/E_Score + 0.30 * EV/EBITDA_Score + 
                  0.20 * P/B_Score + 0.15 * Dividend_Yield_Score

Scores range from 0-100, with higher values indicating more attractive valuations.

Safety Filters and Momentum Indicators

Safety Score Implementation

Our safety mechanism is binary but powerful:

• Safety Score = 100 if 6-month momentum ≥ 20th percentile
• Safety Score = 0 if 6-month momentum < 20th percentile

Why Binary Safety?

The binary approach provides clear, actionable signals:

• Avoids marginal cases that might lead to hesitation
• Creates a clean risk management rule
• Simplifies the decision-making process
• Prevents “death by a thousand cuts” from gradual deterioration

Momentum Calculation

6-month total return (price appreciation + dividends) compared across the universe:

Momentum_6M = (Current_Price + Dividends) / Price_6_Months_Ago - 1

The 20th percentile threshold means we exclude the worst 20% of recent performers, regardless of their valuation or quality scores.

Rotation Rules and Risk Management

Portfolio Construction Rules

Initial Selection: Start with top 10 stocks by combined score from Dow 30 universe.

Removal Conditions (any trigger):

• Rank > 12 (slips out of top 12)
• Safety filter triggered (6-month momentum < 20th percentile)
• Valuation > 20% above median (no longer attractive)

Addition Conditions (must meet all):

• Rank < 8 (in top 8)
• Valuation > 20% below median OR Valuation Advantage > 10% vs outgoing

Turnover Constraints

To prevent excessive trading:

• Maximum 2 rotations per month
• Maximum 6 rotations per quarter

These constraints ensure:

• Lower transaction costs
• More stable portfolio composition
• Time for investment theses to play out
• Protection against whipsaw markets

Position Sizing

Equal-weighting within the portfolio:

• Simplifies rebalancing
• Avoids concentration risk
• Ensures each position contributes meaningfully to returns
• Reduces idiosyncratic risk

Implementation and Performance

Technical Implementation

The strategy is implemented through:

• Daily data ingestion for fundamentals and pricing
• Automated scoring calculations
• Systematic rotation signal generation
• Portfolio tracking and performance attribution

Key Metrics Tracked

1. Portfolio Composition

   • Current holdings and weights
   • Sector allocation
   • Valuation distribution

2. Performance Attribution

   • Factor contribution to returns
   • Individual stock performance
   • Turnover and transaction costs

3. Risk Metrics

   • Maximum drawdown
   • Volatility tracking
   • Beta vs benchmark

Backtesting Framework

Our backtesting approach includes:

• Out-of-sample testing on historical data
• Transaction cost assumptions
• Slippage modeling for realistic execution
• Multiple market cycle testing

Conclusion

The Value-Focused Portfolio Rotation strategy demonstrates how quantitative approaches can be combined with fundamental investing principles. By emphasizing valuation (70%) while incorporating quality (20%) and safety (10%) factors, we create a systematic approach that:

1. Maintains Discipline: Rules-based approach prevents emotional decisions
2. Controls Risk: Safety filters and turnover constraints protect capital
3. Captures Value: Systematic identification of undervalued quality businesses
4. Remains Flexible: Adaptive to changing market conditions

Key Takeaways for Implementation

1. Start with Quality Universe: The strategy works best when applied to fundamentally sound businesses
2. Patience Matters: Turnover constraints ensure investment theses have time to develop
3. Valuation is Primary: The 70% weight reflects the importance of buying at attractive prices
4. Safety First: The binary safety filter prevents catching falling knives
5. Monitor Continuously: Regular review ensures the strategy adapts to market changes

This approach can be adapted to different universes (S&P 500, international stocks) and timeframes, making it a versatile framework for value-focused portfolio management.

This strategy is implemented in our Stock Picker application and continues to evolve based on ongoing research and market observations.