The Portfolio Edge Most Investors Miss: Risk-Aware Position Sizing
How you size positions and manage risk is more important than you think. Let me show you through a real-world example.
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In the world of investing, a great deal of attention is spent on picking the “right” stock or investment. It’s a natural quest for outperformance, and when successful, strong security selection can absolutely drive portfolio growth. I’ve spent decades doing exactly that.
But over the years — through experience, extensive back-testing, and a tremendous amount of quantitative analysis — I’ve come to a firm conclusion: How you size positions and manage risk is just as important as what you buy.
Without disciplined risk management, even the best security selection can lead to outsized losses during periods of market turbulence. Those losses erode prior gains, test investor resolve, and, in many cases, cause investors to abandon their strategy altogether. The result is not just emotional stress — but materially lower long-term returns.
That’s why I wanted to walk through a practical, real-world example.
A Simple, Real-World Portfolio Example
To illustrate the impact of risk-aware position sizing, I’ll use four actual holdings from my portfolios as of February 3, 2026:
- Robinhood Markets (HOOD)
- VanEck Merk Gold Trust (OUNZ)
- The Hershey Company (HSY)
- iShares Core S&P 500 ETF (IVV)
The goal is not to debate whether these are “good” investments. Instead, the goal is to show how the same investments, weighted differently, can produce dramatically different outcomes on a risk-adjusted basis.
Why Diversification of Return Drivers Matters
A strong portfolio starts with diversification — not just by name, but by drivers of return.
First, each investment should have a positive and above-average expected rate of return. Second, and equally important, those returns should come from different economic and behavioral forces. This combination is what improves risk-adjusted returns.
These four holdings span a wide spectrum of risk profiles and return drivers, making them an ideal test case for evaluating risk management techniques.
The Two Portfolio Approaches Compared
I constructed two hypothetical portfolios using the same four securities over the same time period.
Analysis Period and Methodology
- Timeframe: August 2021 – February 2026 (approximately five years)
- Returns: Monthly returns derived from adjusted closing prices
- Rebalancing: Monthly, at the start of each month
- Holdings: Identical in both portfolios (four securities)
The only difference was how the positions were sized.
Portfolio 1: Equal-Weighted Approach
In the equal-weighted portfolio, each holding received 25% of the capital, regardless of risk.
- Assumes all investments are interchangeable
- Emphasizes security selection over risk adjustment
- Ignores volatility differences between holdings
This approach is simple and common — but blind to risk.
Portfolio 2: Inverse Volatility-Weighted Approach
In the inverse volatility portfolio, weights were assigned based on each security’s historical rolling 12-month volatility (standard deviation of daily returns).
- Higher volatility → smaller allocation
- Lower volatility → larger allocation
- Weights normalized to sum to 100%
This approach seeks to equalize risk contribution, not dollar contribution. It is a simplified form of risk parity that dynamically shifts capital toward lower-volatility assets during turbulent periods.
Understanding the Four Holdings
These investments offer diversification across business models, asset classes, and economic drivers.
The Hershey Company
Hershey (HSY) is a classic defensive consumer staples company. Chocolate and snacks provide steady demand across economic cycles, making it a natural stabilizer during downturns. Notably, Hershey has outperformed the S&P 500 over the past year —reminding us that “boring” stocks can deliver strong returns when purchased at attractive valuations.
Robinhood Markets
Robinhood (HOOD) represents the opposite end of the spectrum: an aggressive growth stock in fintech. Its returns are driven by retail trading activity, user growth, and market sentiment. It is volatile by nature, but when blended thoughtfully with defensive assets, it can meaningfully enhance portfolio returns over time.
VanEck Merk Gold Trust
VanEck Merk Gold Trust (OUNZ) provides exposure to physical gold. Gold functions as a hard-currency alternative, an inflation hedge, and a geopolitical risk diversifier. Its returns are driven by macroeconomic factors and interest rates rather than corporate earnings, making it an excellent portfolio diversifier.
iShares Core S&P 500 ETF
iShares Core S&P 500 ETF (IVV) provides broad exposure to U.S. large-cap equities. It captures overall market performance without stock-specific bets, serving as the portfolio’s core growth engine tied to economic expansion and corporate profitability.
Results: Return, Risk, and Efficiency
Both portfolios delivered strong absolute returns over the five-year period. The difference lies in how much risk was taken to achieve those returns.
Performance Summary
| Metric | Equal-Weighted Portfolio | Inverse Volatility-Weighted Portfolio |
|---|---|---|
Compounded Annual Return | 20.32% | 19.56% |
Annualized Volatility | 20.98% | 12.18% |
Sharpe Ratio | .99 | 1.54 |
Maximum Drawdown | -30.84% | -13.81% |
What the Numbers Actually Tell Us
The returns were nearly identical. The risk was not.
- Volatility was reduced by roughly 40%
- Maximum drawdown was cut by more than half
- Risk-adjusted returns (Sharpe ratio) improved dramatically
This isn’t magic. It’s simply the result of systematically favoring lower-volatility assets as risk rises — much like a sailor trimming sails in rough seas to stay on course without capsizing.
A smoother return path matters. It helps investors stay invested, avoid panic selling, and allow capital to compound quietly over time.
The Real Edge: Behavior and Staying Power
Volatility-aware portfolios don’t just improve statistics on a spreadsheet. They improve investor behavior.
Large drawdowns are where most investors fail — not because their investments were bad, but because the emotional cost became unbearable. Risk-aware position sizing reduces the odds of that happening.
Bottom Line
Think of your portfolio like a well-tuned engine. Security selection provides the fuel. Risk management keeps the engine from overheating under stress.
This simplified study shows that even a basic inverse-volatility approach can materially improve risk-adjusted outcomes. It doesn’t eliminate risk — it redistributes it more intelligently.
If an investor wants more return, leverage can always be applied on top of a risk-efficient structure. The real objective is maximizing return per unit of risk, not just chasing the highest return.
I’m not suggesting inverse volatility is the answer to everything. My broader point is this: Incorporating a systematic risk metric —quantitative or qualitative — into position sizing matters. Whether that metric reflects business risk, competitive intensity, or uncertainty, it helps balance return and risk over the long run.
What are your thoughts on risk-aware investing? Share them in the comments below.
