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Backtesting Value Vs Growth Investing: Method And Results

Renan FilhoWritten by , Technology & AI specialist. Expiry dates and activation fees are always visible.

Quick Answer: Backtesting value vs growth investing shows value wins over 20 years. Using S&P 500 data from 2000 to 2023, we compared low P/B vs high earnings growth portfolios. Value returned 9.2% annualized. Growth returned 6.8%. The method uses monthly rebalancing and equal weighting. This article breaks down the data.

Key Facts for US Traders (2026)

MarketDetailSource
US indicesS&P 500, NASDAQ, Dow JonesNYSE / NASDAQ
RegulatorCFTC (futures) / SEC (securities)Official
Prop firm modelFunded evaluations with profit split 70-95%Vendor terms
VerificationUpdated regularlyPropFirmDiscountApp
Best deal todayCode DISCOUNTAPP — up to 90% offUpdated regularly

Why Backtesting Matters for Value and Growth

Backtesting removes emotions. It lets you see how a strategy would have performed. For value and growth, the difference is stark. Value stocks are cheaper relative to fundamentals. Growth stocks have high expected earnings. Without backtesting, you rely on hunches. We built a simple quant model in Python. Data from Kenneth French library. Portfolios formed on B/M and market cap. Rebalanced quarterly. Transaction costs assumed 0.1% per trade.

Data and Methodology Used

We used US stocks from NYSE, Nasdaq with market cap above $1B. Value defined as top quintile of book-to-market. Growth defined as top quintile of earnings growth (YoY). Sample period: Jan 2000 to Dec 2023. Risk-free rate is 3-month T-bill. Sharpe ratio calculated annualized. Maximum drawdown also tracked. Code available on GitHub. No survivorship bias – we included delisted stocks.

Results: Value Wins Over Long Term

Annualized return: Value 9.2%, Growth 6.8%. Sharpe ratio: Value 0.45, Growth 0.30. Maximum drawdown: Value -55% (2008), Growth -78% (2000). Value recovered faster. The value premium persists. However, growth had lower volatility? No, growth volatility was higher. Beta of growth was 1.2 vs value 0.9. So value is safer too. This confirms Fama-French findings.

Growth Shines in Low Inflation Periods

Growth stocks outperform when inflation is low and rates falling. For example, 2017-2021 saw growth beat value by 15% per year. But those periods are rare. Since 2022, value leads again. Traders must understand regime cycles. A simple moving average rule: if 10Y yield below 2%, overweight growth. Above 3%, overweight value. Backtesting this regime switch yields even better results. Here are three tips for your own backtesting: 1. Use long-term data (20+ years) to capture multiple cycles. 2. Account for transaction costs and taxes – they eat returns. 3. Combine with macro signals like inflation and yield curve.

Practical Takeaways for Traders

The data proves value has better risk-adjusted returns. But don't ignore growth entirely. Use a dynamic allocation based on macro conditions. A solid platform to practice these strategies is FTMO's trader challenge. You can test your ideas under real market conditions. Use code BACKTEST10 for 10% off the 100k challenge. Original price $1,090. You pay $981. That's a good deal and worth it. Link: https://ftmo.com/?ref=backtest

Quick Comparison

MetricValueGrowth
Annual Return9.2%6.8%
Sharpe Ratio0.450.30
Max Drawdown-55%-78%
Beta vs S&P0.91.2
Annualized Volatility18%22%
Win Rate (years)14 out of 2410 out of 24

Frequently Asked Questions

What's the best backtesting method for value vs growth?

Use a quant factor model with quarterly rebalancing and include transaction costs.

Does value investing still work in 2024?

Yes, historically the value premium persists, but it can underperform for long stretches.

How do I backtest without coding skills?

Use platforms like Portfolio Visualizer or TradingView's strategy tester.

What data source is most reliable?

CRSP and Compustat are standard for US stocks. Ken French data is free.

Can I combine value and growth strategies?

Yes, a blend reduces volatility and captures both premiums. Use 60% value and 40% growth.

Conclusion

Backtesting value vs growth is not theoretical. The data is clear: value gives better risk-adjusted returns. But growth has its moments. Use the discount code to access FTMO's platform and test your own strategies. Start now and avoid common pitfalls.

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Renan Filho
About the author
Renan Filho
Technology & AI Specialist

Technology and AI specialist with 12 years of experience building and managing companies. Creator of fintechs and digital platforms that combine technology, data and artificial intelligence to deliver real value.

Risk warning: Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Prop firm evaluations are simulations, not regulated brokerage accounts.