Calculate the Weights for the Optimal Risky Portfolio

Optimal Risky Portfolio Weights Calculator | Modern Portfolio Theory Tool :root { –primary: #004a99; –secondary: #003366; –success: #28a745; –light: #f8f9fa; –border: #dee2e6; –text: #333333; –shadow: 0 4px 6px rgba(0,0,0,0.1); } body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif; line-height: 1.6; color: var(–text); background-color: var(–light); margin: 0; padding: 0; } .container { max-width: 960px; margin: 0 auto; padding: 20px; box-sizing: border-box; } header { text-align: center; margin-bottom: 40px; padding: 40px 0; background: white; border-bottom: 1px solid var(–border); } h1 { color: var(–primary); margin: 0; font-size: 2.5rem; line-height: 1.2; } h2 { color: var(–secondary); margin-top: 40px; border-bottom: 2px solid var(–primary); padding-bottom: 10px; } h3 { color: var(–secondary); margin-top: 25px; } /* Calculator Styles */ .calculator-wrapper { background: white; padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 50px; border: 1px solid var(–border); } .input-section { margin-bottom: 30px; } .input-group { margin-bottom: 20px; } label { display: block; font-weight: 600; margin-bottom: 8px; color: var(–secondary); } input[type="number"] { width: 100%; padding: 12px; border: 1px solid var(–border); border-radius: 4px; font-size: 16px; box-sizing: border-box; transition: border-color 0.2s; } input[type="number"]:focus { border-color: var(–primary); outline: none; box-shadow: 0 0 0 3px rgba(0, 74, 153, 0.1); } .helper-text { font-size: 0.85rem; color: #6c757d; margin-top: 5px; } .error-msg { color: #dc3545; font-size: 0.85rem; margin-top: 5px; display: none; } .btn-group { display: flex; gap: 15px; margin-top: 25px; } button { padding: 12px 24px; border: none; border-radius: 4px; font-size: 16px; font-weight: 600; cursor: pointer; transition: background 0.2s; } .btn-primary { background-color: var(–primary); color: white; flex: 2; } .btn-primary:hover { background-color: var(–secondary); } .btn-outline { background-color: transparent; border: 2px solid var(–border); color: #6c757d; flex: 1; } .btn-outline:hover { background-color: #e9ecef; color: var(–text); } /* Results Styles */ .results-container { background-color: #f8f9fa; border-radius: 8px; padding: 25px; margin-top: 30px; border: 1px solid var(–border); } .main-result { text-align: center; background: var(–primary); color: white; padding: 20px; border-radius: 6px; margin-bottom: 25px; } .main-result .label { font-size: 1rem; opacity: 0.9; margin-bottom: 5px; } .main-result .value { font-size: 2.5rem; font-weight: 700; } .metrics-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 20px; margin-bottom: 25px; } .metric-card { background: white; padding: 15px; border-radius: 4px; border: 1px solid var(–border); text-align: center; } .metric-card .label { font-size: 0.9rem; color: #6c757d; margin-bottom: 5px; } .metric-card .value { font-size: 1.25rem; font-weight: 600; color: var(–secondary); } table { width: 100%; border-collapse: collapse; margin: 20px 0; background: white; } th, td { padding: 12px; text-align: left; border-bottom: 1px solid var(–border); } th { background-color: #f1f3f5; color: var(–secondary); font-weight: 600; } caption { caption-side: bottom; font-size: 0.9rem; color: #6c757d; margin-top: 10px; text-align: left; } .chart-container { background: white; padding: 20px; border: 1px solid var(–border); border-radius: 8px; margin-top: 30px; position: relative; height: 400px; } canvas { width: 100%; height: 100%; } /* Article Styles */ .article-content { background: white; padding: 40px; border-radius: 8px; box-shadow: var(–shadow); } .variables-table th { background-color: var(–primary); color: white; } .faq-item { margin-bottom: 20px; border: 1px solid var(–border); border-radius: 4px; padding: 20px; } .faq-question { font-weight: 700; color: var(–primary); margin-bottom: 10px; } .resource-list { list-style: none; padding: 0; } .resource-list li { margin-bottom: 15px; padding-left: 20px; border-left: 3px solid var(–success); } a { color: var(–primary); text-decoration: none; } a:hover { text-decoration: underline; } @media (max-width: 600px) { h1 { font-size: 1.8rem; } .btn-group { flex-direction: column; } .article-content { padding: 20px; } }

Optimal Risky Portfolio Weights Calculator

Determine the precise asset allocation to maximize your Sharpe Ratio based on return, volatility, and correlation.

Asset A (e.g., Stocks)

Projected average return for the first asset.
Please enter a valid number.
Volatility measure for Asset A.
Must be a positive number.

Asset B (e.g., Bonds)

Projected average return for the second asset.
Please enter a valid number.
Volatility measure for Asset B.
Must be a positive number.

Correlation & Market Data

How the two assets move together (0.2 is typical diversification).
Must be between -1 and 1.
Return on a safe asset like T-Bills.
Please enter a valid number.
Optimal Weight for Asset A
64.5%
(Asset B: 35.5%)
Portfolio Exp. Return
9.87%
Portfolio Risk (Std Dev)
14.12%
Maximized Sharpe Ratio
0.487

Formula Note: Weights are derived using the tangency portfolio formula, maximizing the slope of the Capital Allocation Line (CAL).

Comparison of Asset Standalone Metrics vs. Optimal Portfolio
Metric Asset A Only Asset B Only Optimal Portfolio
Return 12.00% 6.00% 9.87%
Risk (Std Dev) 20.00% 10.00% 14.12%
Sharpe Ratio 0.450 0.300 0.487

Chart: The curve represents the Efficient Frontier. The green dot indicates the Optimal Risky Portfolio (Tangency Point).

What is the Calculation of Weights for the Optimal Risky Portfolio?

When investors aim to build a portfolio, they often face a trade-off between risk and reward. The process to calculate the weights for the optimal risky portfolio is a fundamental concept in Modern Portfolio Theory (MPT). It involves mathematically determining the exact proportion of capital to allocate to different risky assets (like stocks and bonds) to achieve the highest possible return for a given level of risk relative to a risk-free benchmark.

Specifically, this calculation identifies the "Tangency Portfolio"—the single unique combination of risky assets that, when combined with a risk-free asset, generates the steepest Capital Allocation Line (CAL). This portfolio effectively maximizes the Sharpe Ratio, which is the industry standard for measuring risk-adjusted returns.

This tool is essential for portfolio managers, financial advisors, and serious retail investors who want to move beyond guessing and use statistical data to optimize their holdings. However, a common misconception is that the "optimal" portfolio yields the highest absolute return. In reality, it yields the highest efficiency—the best return per unit of risk taken.

Formula and Mathematical Explanation

To calculate the weights for the optimal risky portfolio composed of two assets (Asset A and Asset B) and a risk-free rate, we use a formula derived from maximizing the Sharpe Ratio function.

The weight of Asset A ($w_A$) is calculated as follows:

w_A = [ (E(R_A) – R_f) * σ_B² – (E(R_B) – R_f) * Cov_AB ] / [ (E(R_A) – R_f) * σ_B² + (E(R_B) – R_f) * σ_A² – (E(R_A) – R_f + E(R_B) – R_f) * Cov_AB ]

Once $w_A$ is found, the weight of Asset B is simply $1 – w_A$.

Variables Table

Key Variables in Optimal Portfolio Calculation
Variable Meaning Unit Typical Range
$E(R)$ Expected Return Percentage (%) 4% – 15% (Equities)
$\sigma$ (Sigma) Standard Deviation (Risk) Percentage (%) 5% – 30%
$Cov_{AB}$ Covariance Number Derived from Correlation
$\rho$ (Rho) Correlation Coefficient Decimal -1.0 to +1.0
$R_f$ Risk-Free Rate Percentage (%) 1% – 5% (e.g., T-Bills)

Practical Examples

Example 1: The Classic Stock/Bond Split

Consider an investor deciding between a Stock Index Fund (Asset A) and a Bond Fund (Asset B).

  • Asset A (Stocks): 10% Return, 18% Risk
  • Asset B (Bonds): 5% Return, 8% Risk
  • Correlation: 0.1 (Low correlation)
  • Risk-Free Rate: 2%

Using the calculator, the resulting optimal weights might be approximately 38% Stocks and 62% Bonds. While stocks have higher returns, the low risk of bonds combined with the diversification benefit (low correlation) pulls the optimal weight towards bonds to maximize the risk-adjusted ratio.

Example 2: High Correlation Tech Stocks

Now consider two tech stocks with high returns but high correlation.

  • Asset A: 15% Return, 25% Risk
  • Asset B: 14% Return, 24% Risk
  • Correlation: 0.85 (Very high)
  • Risk-Free Rate: 3%

Because the correlation is so high, diversification benefits are minimal. The math will likely suggest allocating nearly 100% to the asset with the slightly better Sharpe ratio standalone, or a leverage position if unconstrained. This demonstrates that when you calculate the weights for the optimal risky portfolio, correlation is just as critical as raw returns.

How to Use This Optimal Portfolio Calculator

  1. Enter Asset Data: Input the expected annual return and standard deviation for both Asset A and Asset B. Ensure these figures are annual (not monthly).
  2. Set Correlation: Input the correlation coefficient. A value of 0 means uncorrelated; 1 means they move perfectly in sync; -1 means they move in opposite directions.
  3. Define Risk-Free Rate: Enter the current yield on a safe asset, such as a 3-month US Treasury Bill.
  4. Analyze Results: Look at the "Optimal Weight" boxes. This is your target allocation.
  5. Review the Chart: The green point on the chart represents your optimal portfolio. Notice how it sits on the "Efficient Frontier" curve, offering the best geometric trade-off.

Key Factors That Affect Portfolio Results

Several dynamic factors influence the output when you calculate the weights for the optimal risky portfolio:

  • Correlation Stability: Correlations are not static. In market crashes, correlations between different stocks often converge to 1.0, reducing the calculated benefits of diversification.
  • Risk-Free Rate Fluctuations: As central banks adjust rates, $R_f$ changes. A higher risk-free rate generally makes risky assets less attractive, potentially shifting weights toward lower-volatility assets or out of the risky portfolio entirely.
  • Estimation Error: The outputs are only as good as the inputs. Predicting future returns ($E(R)$) is notoriously difficult compared to predicting volatility.
  • Investment Horizon: Standard deviation scales with the square root of time. Short-term investors may face different optimal weights than long-term investors if mean reversion is assumed.
  • Transaction Costs: Frequent rebalancing to maintain optimal weights incurs fees. A theoretical 60/40 split might drift to 65/35; the cost of correcting this must be weighed against the benefit.
  • Inflation: The calculator uses nominal rates. If inflation is high, the "real" risk-free rate might be negative, which drastically alters the attractiveness of holding cash versus risky assets.

Frequently Asked Questions (FAQ)

What happens if the correlation is negative?
Negative correlation is the "holy grail" of diversification. If Asset A goes up while Asset B goes down, the portfolio volatility decreases significantly. The calculator will likely assign significant weights to both assets to exploit this risk reduction.
Can the optimal weight be greater than 100%?
Yes. If the optimal weight for Asset A is 120%, it implies borrowing money (shorting Asset B) to buy more of Asset A. This calculator displays the mathematical optimum, but real-world constraints often cap weights at 100%.
Why is the Sharpe Ratio important?
It tells you how much "excess return" you are getting for every unit of risk. A portfolio with a lower return but much lower risk can have a higher Sharpe Ratio than a high-flying, volatile stock.
Is the optimal risky portfolio the same as the Minimum Variance Portfolio?
No. The Minimum Variance Portfolio seeks the lowest absolute risk (standard deviation) regardless of return. The Optimal Risky Portfolio seeks the best ratio of return to risk.
How often should I recalculate the weights?
Financial data changes daily. However, strategic asset allocation is usually reviewed quarterly or annually to avoid over-reacting to short-term market noise.
Does this calculator account for taxes?
No, this is a pre-tax model. Taxes on capital gains and dividends can affect the net return, potentially altering the optimal strategy for taxable accounts versus tax-advantaged accounts (like IRAs).
What is the "Efficient Frontier"?
The Efficient Frontier is the set of optimal portfolios that offer the highest expected return for a defined level of risk. The chart generated above visualizes this curve.
Why do I need a risk-free rate?
The risk-free rate acts as the baseline. You wouldn't take on risk if you could get the same return from a guaranteed government bond. The calculation uses this to measure the "risk premium."

Related Tools and Internal Resources

Enhance your financial analysis with our suite of related calculators and guides:

// Global variable to store chart instance logic var canvas = document.getElementById('frontierChart'); var ctx = canvas.getContext('2d'); // Initialize calculator on load window.onload = function() { calculatePortfolio(); }; function formatPercent(num) { return num.toFixed(2) + "%"; } function formatNumber(num) { return num.toFixed(3); } function calculatePortfolio() { // 1. Get Inputs var rA = parseFloat(document.getElementById('returnA').value); var sA = parseFloat(document.getElementById('stdDevA').value); var rB = parseFloat(document.getElementById('returnB').value); var sB = parseFloat(document.getElementById('stdDevB').value); var rho = parseFloat(document.getElementById('correlation').value); var rf = parseFloat(document.getElementById('riskFree').value); // Validation Flags var isValid = true; // Simple validation checks if (isNaN(rA)) { document.getElementById('err-returnA').style.display = 'block'; isValid = false; } else { document.getElementById('err-returnA').style.display = 'none'; } if (isNaN(sA) || sA < 0) { document.getElementById('err-stdDevA').style.display = 'block'; isValid = false; } else { document.getElementById('err-stdDevA').style.display = 'none'; } if (isNaN(rB)) { document.getElementById('err-returnB').style.display = 'block'; isValid = false; } else { document.getElementById('err-returnB').style.display = 'none'; } if (isNaN(sB) || sB < 0) { document.getElementById('err-stdDevB').style.display = 'block'; isValid = false; } else { document.getElementById('err-stdDevB').style.display = 'none'; } if (isNaN(rho) || rho 1) { document.getElementById('err-correlation').style.display = 'block'; isValid = false; } else { document.getElementById('err-correlation').style.display = 'none'; } if (isNaN(rf)) { document.getElementById('err-riskFree').style.display = 'block'; isValid = false; } else { document.getElementById('err-riskFree').style.display = 'none'; } if (!isValid) return; // 2. Perform Math (Tangency Portfolio) // Convert percentages to decimals for calculation var E_Ra = rA / 100; var E_Rb = rB / 100; var Sig_a = sA / 100; var Sig_b = sB / 100; var R_f = rf / 100; // Excess Returns var Ex_Ra = E_Ra – R_f; var Ex_Rb = E_Rb – R_f; // Covariance and Variances var Cov_ab = rho * Sig_a * Sig_b; var Var_a = Sig_a * Sig_a; var Var_b = Sig_b * Sig_b; // Numerator and Denominator for Weight of A // Formula: w1 = (R1*Var2 – R2*Cov) / (R1*Var2 + R2*Var1 – (R1+R2)*Cov) where R is excess return var num = (Ex_Ra * Var_b) – (Ex_Rb * Cov_ab); var den = (Ex_Ra * Var_b) + (Ex_Rb * Var_a) – ((Ex_Ra + Ex_Rb) * Cov_ab); var wA = 0; if (den === 0) { wA = 0; // Edge case } else { wA = num / den; } var wB = 1 – wA; // Portfolio Stats var portReturn = (wA * E_Ra) + (wB * E_Rb); var portVar = (wA * wA * Var_a) + (wB * wB * Var_b) + (2 * wA * wB * Cov_ab); var portRisk = Math.sqrt(portVar); var portSharpe = (portReturn – R_f) / portRisk; // Single Asset Sharpes var sharpeA = (E_Ra – R_f) / Sig_a; var sharpeB = (E_Rb – R_f) / Sig_b; // 3. Update DOM document.getElementById('res-weightA').innerText = formatPercent(wA * 100); document.getElementById('res-weightB').innerText = formatPercent(wB * 100); document.getElementById('res-return').innerText = formatPercent(portReturn * 100); document.getElementById('res-risk').innerText = formatPercent(portRisk * 100); document.getElementById('res-sharpe').innerText = formatNumber(portSharpe); // Update Table document.getElementById('tbl-retA').innerText = formatPercent(rA); document.getElementById('tbl-retB').innerText = formatPercent(rB); document.getElementById('tbl-retOpt').innerText = formatPercent(portReturn * 100); document.getElementById('tbl-riskA').innerText = formatPercent(sA); document.getElementById('tbl-riskB').innerText = formatPercent(sB); document.getElementById('tbl-riskOpt').innerText = formatPercent(portRisk * 100); document.getElementById('tbl-sharpeA').innerText = formatNumber(sharpeA); document.getElementById('tbl-sharpeB').innerText = formatNumber(sharpeB); document.getElementById('tbl-sharpeOpt').innerText = formatNumber(portSharpe); // 4. Draw Chart drawChart(E_Ra, Sig_a, E_Rb, Sig_b, Cov_ab, portReturn, portRisk); } function drawChart(ra, sa, rb, sb, cov, optR, optS) { // Clear canvas ctx.clearRect(0, 0, canvas.width, canvas.height); // Setup scaling (dynamic range) // Find max/min ranges for plotting var maxRisk = Math.max(sa, sb, optS) * 1.5; var minRisk = 0; var maxRet = Math.max(ra, rb, optR) * 1.5; var minRet = 0; // Assume 0 baseline usually // Adjust Canvas logic to be responsive-ish manually var w = canvas.width = canvas.parentElement.offsetWidth; var h = canvas.height = canvas.parentElement.offsetHeight; var padding = 50; var plotW = w – (padding * 2); var plotH = h – (padding * 2); // Coordinate conversion functions function getX(risk) { return padding + (risk / maxRisk) * plotW; } function getY(ret) { return h – padding – (ret / maxRet) * plotH; } // Draw Axes ctx.beginPath(); ctx.strokeStyle = '#333'; ctx.lineWidth = 2; ctx.moveTo(padding, padding); ctx.lineTo(padding, h – padding); // Y Axis ctx.lineTo(w – padding, h – padding); // X Axis ctx.stroke(); // Axis Labels ctx.fillStyle = '#333′; ctx.font = '12px Arial'; ctx.textAlign = 'center'; ctx.fillText("Risk (Std Dev)", w / 2, h – 10); ctx.save(); ctx.translate(15, h / 2); ctx.rotate(-Math.PI / 2); ctx.fillText("Expected Return", 0, 0); ctx.restore(); // Draw Efficient Frontier Curve // Iterate weights from -0.5 to 1.5 to show curve extension ctx.beginPath(); ctx.strokeStyle = '#004a99'; ctx.lineWidth = 2; var started = false; for (var i = 0; i <= 100; i++) { var weightA = i / 100; // 0 to 1 var weightB = 1 – weightA; var pR = (weightA * ra) + (weightB * rb); var pV = (weightA * weightA * sa * sa) + (weightB * weightB * sb * sb) + (2 * weightA * weightB * cov); var pS = Math.sqrt(pV); var x = getX(pS); var y = getY(pR); if (!started) { ctx.moveTo(x, y); started = true; } else { ctx.lineTo(x, y); } } ctx.stroke(); // Draw Points for Asset A and B drawPoint(getX(sa), getY(ra), '#6c757d', 'Asset A'); drawPoint(getX(sb), getY(rb), '#6c757d', 'Asset B'); // Draw Optimal Point drawPoint(getX(optS), getY(optR), '#28a745', 'Optimal'); } function drawPoint(x, y, color, label) { ctx.beginPath(); ctx.fillStyle = color; ctx.arc(x, y, 6, 0, 2 * Math.PI); ctx.fill(); ctx.fillStyle = '#000'; ctx.font = '12px Arial'; ctx.textAlign = 'left'; ctx.fillText(label, x + 10, y + 4); } function resetCalculator() { document.getElementById('returnA').value = "12"; document.getElementById('stdDevA').value = "20"; document.getElementById('returnB').value = "6"; document.getElementById('stdDevB').value = "10"; document.getElementById('correlation').value = "0.2"; document.getElementById('riskFree').value = "3"; calculatePortfolio(); } function copyResults() { var wA = document.getElementById('res-weightA').innerText; var wB = document.getElementById('res-weightB').innerText; var ret = document.getElementById('res-return').innerText; var risk = document.getElementById('res-risk').innerText; var sharpe = document.getElementById('res-sharpe').innerText; var text = "Optimal Risky Portfolio Results:\n" + "Weight Asset A: " + wA + "\n" + "Weight Asset B: " + wB + "\n" + "Portfolio Return: " + ret + "\n" + "Portfolio Risk: " + risk + "\n" + "Sharpe Ratio: " + sharpe; var tempInput = document.createElement("textarea"); tempInput.value = text; document.body.appendChild(tempInput); tempInput.select(); document.execCommand("copy"); document.body.removeChild(tempInput); alert("Results copied to clipboard!"); }

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