Calculating Weights Capm

CAPM Weights Calculator: Understand Your Portfolio's Market Exposure body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: #ffffff; border-radius: 8px; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1); } h1, h2, h3 { color: #004a99; margin-bottom: 15px; } h1 { text-align: center; margin-bottom: 25px; } .loan-calc-container { background-color: #eef2f6; padding: 25px; border-radius: 8px; margin-bottom: 30px; } .input-group { margin-bottom: 20px; padding: 10px; background-color: #fff; border-radius: 5px; box-shadow: inset 0 1px 3px rgba(0,0,0,0.05); } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: #004a99; } .input-group input[type="number"], .input-group input[type="text"], .input-group select { width: calc(100% – 22px); padding: 10px; border: 1px solid #ccc; border-radius: 4px; font-size: 1rem; box-sizing: border-box; margin-top: 5px; } .input-group input[type="number"]:focus, .input-group input[type="text"]:focus, .input-group select:focus { border-color: #004a99; outline: none; box-shadow: 0 0 0 3px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.85rem; color: #666; margin-top: 5px; display: block; } .input-group .error-message { color: #dc3545; font-size: 0.85rem; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { text-align: center; margin-top: 20px; } button { background-color: #004a99; color: white; border: none; padding: 12px 25px; border-radius: 5px; cursor: pointer; font-size: 1rem; margin: 0 5px; transition: background-color 0.3s ease; } button:hover { background-color: #003366; } button.reset-button { background-color: #6c757d; } button.reset-button:hover { background-color: #5a6268; } .result-section { margin-top: 30px; padding: 20px; background-color: #ffffff; border-radius: 8px; border: 1px solid #dee2e6; } .primary-result { font-size: 2.5rem; font-weight: bold; color: #28a745; text-align: center; margin-bottom: 20px; padding: 15px; background-color: #e9ecef; border-radius: 5px; } .result-section h3 { margin-top: 0; text-align: center; color: #004a99; } .result-section .formula-explanation { font-size: 0.95rem; color: #555; margin-top: 15px; padding: 10px; background-color: #f0f4f7; border-left: 3px solid #004a99; } .intermediate-results { display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin-top: 20px; } .intermediate-results div { background-color: #f8f9fa; padding: 15px; border-radius: 5px; text-align: center; border: 1px dashed #ccc; } .intermediate-results div strong { display: block; font-size: 1.2rem; color: #004a99; margin-bottom: 5px; } .intermediate-results div span { font-size: 0.9rem; color: #666; } table { width: 100%; border-collapse: collapse; margin-top: 25px; box-shadow: 0 2px 8px rgba(0,0,0,0.05); } th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid #dee2e6; } thead { background-color: #004a99; color: white; } tbody tr:nth-child(even) { background-color: #f2f6fa; } caption { caption-side: top; font-weight: bold; color: #004a99; margin-bottom: 10px; font-size: 1.1rem; } #chartContainer { width: 100%; max-width: 700px; margin: 30px auto; text-align: center; } .chart-caption { font-size: 0.9rem; color: #555; margin-top: 10px; } .article-section { margin-top: 40px; padding: 25px; background-color: #ffffff; border-radius: 8px; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1); } .article-section h2, .article-section h3 { margin-top: 0; border-bottom: 2px solid #004a99; padding-bottom: 5px; } .article-section p { margin-bottom: 15px; } .faq-item { margin-bottom: 15px; } .faq-item strong { color: #004a99; cursor: pointer; } .faq-item div { margin-top: 5px; padding-left: 15px; color: #555; display: none; /* Hidden by default */ } .internal-links { margin-top: 25px; padding: 15px; background-color: #f0f4f7; border-radius: 5px; border-left: 4px solid #004a99; } .internal-links ul { list-style: none; padding: 0; margin: 0; } .internal-links li { margin-bottom: 8px; } .internal-links a { color: #004a99; text-decoration: none; font-weight: bold; } .internal-links a:hover { text-decoration: underline; } .internal-links p { font-size: 0.9rem; color: #666; margin-top: 5px; }

CAPM Weights Calculator

Enter the total number of assets in your portfolio.

Portfolio Market Risk Analysis

Weighted Average Beta
Total Weight
Portfolio Risk (Sigma)
Formula Used: Weighted Average Beta = Σ (Weight_i * Beta_i)
Portfolio Risk (Sigma) = sqrt( Σ (Weight_i^2 * Variance_i) + Σ Σ (2 * Weight_i * Weight_j * Covariance_ij) ) (Simplified for this calculator: assumes uncorrelated assets for practical visualization, so Covariance_ij = 0)
Distribution of Asset Betas and their Contribution to Weighted Average Beta
Asset Breakdown and Contribution to Portfolio Beta
Asset Name Weight (%) Beta Contribution to Beta (Weight * Beta)

Understanding and Calculating Weights for CAPM

This comprehensive guide will walk you through the concept of calculating weights for the Capital Asset Pricing Model (CAPM), providing a practical calculator to analyze your portfolio's market exposure.

What is CAPM and Why Calculate Weights?

The Capital Asset Pricing Model (CAPM) is a fundamental financial model used to determine the theoretically appropriate required rate of return for an asset. It posits that an asset's expected return is equal to the risk-free rate plus a risk premium based on the asset's systematic risk (beta).

Calculating weights within the CAPM framework is crucial for portfolio management. It allows investors to understand how much each asset in their portfolio contributes to the overall systematic risk. By assigning weights, we can compute a portfolio's aggregate beta, which represents its sensitivity to market movements. This helps in assessing the portfolio's overall risk profile and comparing it against benchmarks.

Who should use it? Portfolio managers, financial analysts, investment advisors, and individual investors aiming to quantify and manage the market risk of their diversified holdings. Understanding your portfolio's weighted beta is key to making informed investment decisions.

Common misconceptions: A common mistake is assuming that CAPM dictates the only way to calculate returns, or that beta alone determines an asset's value. CAPM provides a theoretical framework; actual market returns can deviate. Another misconception is that a high beta always means an asset is "risky" without considering its weight in the portfolio or its correlation with other assets.

CAPM Weights Formula and Mathematical Explanation

The core of calculating weights in CAPM involves determining the contribution of each asset to the portfolio's overall beta. The portfolio's beta ($\beta_p$) is the weighted average of the betas of the individual assets comprising the portfolio.

The formula for the portfolio's beta is:

$$ \beta_p = \sum_{i=1}^{n} (w_i \times \beta_i) $$

Where:

  • $\beta_p$ = Portfolio Beta
  • $n$ = Number of assets in the portfolio
  • $w_i$ = Weight of asset 'i' in the portfolio (expressed as a decimal or percentage)
  • $\beta_i$ = Beta of asset 'i'

In simpler terms, you multiply the proportion (weight) of each asset in your portfolio by that asset's individual beta, and then sum up these products for all assets. This sum gives you the portfolio's overall beta.

Variable Explanations

Variable Meaning Unit Typical Range
$w_i$ Weight of asset 'i' in the portfolio Percentage (%) or Decimal 0% to 100% (sum of all weights = 100%)
$\beta_i$ Beta of asset 'i' None (a coefficient) Typically > 0. Commonly 0.7 to 1.5 for individual stocks. 1 indicates market-like volatility. 1 means more volatile.
$\beta_p$ Portfolio Beta None (a coefficient) Reflects the portfolio's overall market sensitivity.
Asset Variance ($\sigma_i^2$) The variability of asset 'i's returns around its mean. Squared percentage (%) Varies widely based on asset class and market conditions.
Portfolio Risk ($\sigma_p$) The standard deviation of the portfolio's returns, representing its total risk. Percentage (%) Varies widely. Affected by asset volatilities, weights, and correlations.

Practical Examples (Real-World Use Cases)

Example 1: Growth-Oriented Tech Portfolio

An investor holds a portfolio focused on technology stocks. They want to calculate the portfolio's weighted beta.

  • Asset A (Large Cap Tech): Weight = 50%, Beta = 1.3
  • Asset B (Mid Cap Software): Weight = 30%, Beta = 1.5
  • Asset C (Small Cap Hardware): Weight = 20%, Beta = 1.7

Calculation:

  • Asset A Contribution: 0.50 * 1.3 = 0.65
  • Asset B Contribution: 0.30 * 1.5 = 0.45
  • Asset C Contribution: 0.20 * 1.7 = 0.34

Total Portfolio Beta ($\beta_p$) = 0.65 + 0.45 + 0.34 = 1.44

Interpretation: This portfolio has a beta of 1.44, indicating it is expected to be approximately 44% more volatile than the overall market. This aligns with its growth-oriented, tech-heavy nature.

Example 2: Balanced Income & Growth Portfolio

A retiree is building a portfolio with a mix of income-generating and growth assets.

  • Asset A (Dividend Stock): Weight = 40%, Beta = 0.8
  • Asset B (Growth ETF): Weight = 35%, Beta = 1.2
  • Asset C (Real Estate Investment Trust – REIT): Weight = 25%, Beta = 0.6

Calculation:

  • Asset A Contribution: 0.40 * 0.8 = 0.32
  • Asset B Contribution: 0.35 * 1.2 = 0.42
  • Asset C Contribution: 0.25 * 0.6 = 0.15

Total Portfolio Beta ($\beta_p$) = 0.32 + 0.42 + 0.15 = 0.89

Interpretation: The portfolio's beta is 0.89. This suggests the portfolio is expected to be slightly less volatile than the market, which is consistent with the inclusion of lower-beta assets like dividend stocks and REITs, balanced by a growth ETF.

How to Use This CAPM Weights Calculator

Our calculator simplifies the process of determining your portfolio's weighted beta and understanding its market risk exposure.

  1. Enter Number of Assets: Start by inputting the total count of distinct assets (stocks, ETFs, mutual funds, etc.) in your investment portfolio.
  2. Input Asset Details: For each asset, you will be prompted to enter:
    • Asset Name: A label for easy identification (e.g., "Apple Inc.", "Vanguard S&P 500 ETF").
    • Weight (%): The percentage of your total portfolio value this asset represents. Ensure the sum of all weights equals 100%.
    • Beta: The specific beta value for that asset. You can usually find this on financial data websites.
  3. Add/Remove Assets: Use the "Add Another Asset" button to dynamically add input fields if you initially underestimated the number of assets. You can remove assets by resetting or recalculating after adjustments.
  4. Calculate Weights: Click the "Calculate Weights" button. The calculator will instantly update.
  5. Review Results:
    • Primary Highlighted Result: Shows your portfolio's overall weighted average beta.
    • Intermediate Values: Displays the total weight (should be 100%), average asset beta (unweighted average), and an estimation of portfolio risk (standard deviation).
    • Asset Table: A detailed breakdown showing each asset's weight, beta, and its specific contribution to the portfolio's beta.
    • Chart: Visually represents the distribution of individual asset betas and their weighted contribution.
  6. Copy Results: Use the "Copy Results" button to easily save or share your analysis.
  7. Reset: Click "Reset" to clear all fields and return to the default settings.

Decision-Making Guidance: A portfolio beta significantly above 1 suggests higher market risk, potentially offering higher returns but also exposing you to greater downside. A beta below 1 indicates lower market risk. Investors can use this information to rebalance their portfolios, adjusting asset weights or selections to align with their risk tolerance and investment objectives.

Key Factors That Affect CAPM Weights and Results

Several factors influence the calculation and interpretation of CAPM weights and the resulting portfolio beta:

  1. Asset Allocation & Weighting: This is the most direct factor. A portfolio heavily weighted towards high-beta assets will naturally have a higher overall beta than one weighted towards low-beta assets. Adjusting the proportion of each asset directly alters the portfolio's market sensitivity.
  2. Individual Asset Betas: The inherent systematic risk of each asset is foundational. Assets in volatile sectors (e.g., technology, cyclical industries) typically have higher betas than those in defensive sectors (e.g., utilities, consumer staples). Changes in an individual asset's beta (due to company-specific news or market shifts) will impact the portfolio beta.
  3. Market Conditions: Beta is measured relative to a market benchmark (like the S&P 500). During bull markets, overall market betas might rise, while in bear markets, they might fall. The calculation assumes historical beta is a good predictor of future beta, which isn't always true.
  4. Correlation Between Assets: While our calculator simplifies by assuming independence for the portfolio risk calculation, real-world assets are often correlated. High correlation between assets can increase portfolio risk for a given beta, while diversification benefits emerge more strongly with lower correlations.
  5. Time Horizon: Beta estimates can vary depending on the look-back period used for calculation. Short-term betas might be more volatile, while long-term betas might smooth out short-term fluctuations. The relevance of the beta estimate changes with the investor's time horizon.
  6. Risk-Free Rate and Market Risk Premium: While these don't directly affect the *weighted average beta calculation*, they are fundamental components of the full CAPM formula used to derive the *expected return*. Changes in interest rates or investor risk aversion (affecting the market risk premium) alter the target return an investor might seek, influencing asset selection decisions that indirectly impact portfolio weights.
  7. Rebalancing Frequency: Portfolios drift over time as asset values change. Regular rebalancing ensures the portfolio's weights remain aligned with the target allocation. Infrequent rebalancing can lead to unintended shifts in portfolio beta.

Frequently Asked Questions (FAQ)

What is the difference between beta and alpha?
Beta measures systematic risk (market-related volatility), while alpha measures an asset's performance relative to what CAPM predicts, indicating excess returns due to manager skill or unique factors, not market movement.
Can portfolio beta be negative?
Technically yes, though rare. It would imply the portfolio moves in the opposite direction of the market. Assets like gold or certain inverse ETFs might exhibit negative beta under specific conditions.
How do I find the beta for an asset?
Beta values are commonly available on financial news websites (e.g., Yahoo Finance, Bloomberg, Reuters), brokerage platforms, and financial data providers. They are typically calculated based on historical price data relative to a market index.
Is a beta of 1.0 always good?
A beta of 1.0 means the asset's price tends to move with the market. Whether it's "good" depends on your investment goals. If you want to track the market, it's neutral. If you're seeking outperformance or capital preservation, you might look for betas other than 1.0.
Does CAPM account for all risks?
No. CAPM specifically focuses on *systematic risk* (market risk) that cannot be diversified away. It does not directly account for *unsystematic risk* (company-specific risk), which can theoretically be eliminated through diversification.
How often should I recalculate my portfolio beta?
It's advisable to recalculate periodically, perhaps quarterly or semi-annually, and whenever significant changes occur in your portfolio's composition or individual asset betas. Market conditions also influence beta, so ongoing monitoring is key.
What is the difference between portfolio beta and portfolio standard deviation?
Portfolio Beta measures sensitivity to *market movements* (systematic risk). Portfolio Standard Deviation measures the *total volatility* of the portfolio's returns, including both systematic and unsystematic risk.
Can I use this calculator for non-stock assets like bonds or real estate?
Directly applying a single "beta" figure for assets like bonds or real estate can be complex, as their market sensitivity is often measured differently (e.g., duration for bonds, cap rates for real estate). However, if a comparable market beta is available for these asset classes or specific funds (like REIT ETFs), the calculation method remains the same. The quality of the beta input is critical.

Related Tools and Internal Resources

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var assetCounter = 3; // Start with 3 assets as default var chartInstance = null; // To hold the chart instance function addAssetInput() { var container = document.getElementById('assetInputsContainer'); assetCounter++; var newDiv = document.createElement('div'); newDiv.className = 'input-group'; newDiv.id = 'assetInputGroup' + assetCounter; newDiv.innerHTML = ` Enter a name for asset number ${assetCounter}.
Enter the percentage weight (e.g., 25 for 25%).
Enter the beta value (e.g., 1.2).
`; container.appendChild(newDiv); updateTotalWeight(); // Update total weight display after adding } function removeAssetInput(index) { var group = document.getElementById('assetInputGroup' + index); if (group) { group.remove(); assetCounter–; // Decrement counter if needed, though not strictly necessary if just adding updateTotalWeight(); calculateCAPMWeights(); } } function resetCalculator() { document.getElementById('numAssets').value = 3; document.getElementById('assetInputsContainer').innerHTML = "; // Clear existing dynamic inputs assetCounter = 0; // Reset counter to rebuild from scratch for (var i = 0; i < 3; i++) { // Add default 3 assets addAssetInput(); } document.getElementById('results').style.display = 'none'; document.getElementById('primaryResult').textContent = ''; document.getElementById('avgBeta span').textContent = ''; document.getElementById('totalWeight span').textContent = ''; document.getElementById('portfolioVariance span').textContent = ''; document.getElementById('assetTableBody').innerHTML = ''; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Clear error messages var errorMessages = document.querySelectorAll('.error-message'); for (var i = 0; i < errorMessages.length; i++) { errorMessages[i].textContent = ''; errorMessages[i].style.display = 'none'; } } function updateTotalWeight() { var totalWeight = 0; var weights = document.querySelectorAll('input[id^="assetWeight"]'); for (var i = 0; i = 0) { totalWeight += weightValue; } } document.getElementById('totalWeight span').textContent = totalWeight.toFixed(2) + '%'; return totalWeight; } function calculateCAPMWeights() { var numAssets = parseInt(document.getElementById('numAssets').value); var assetData = []; var totalWeight = 0; var sumOfBetas = 0; var allInputsValid = true; // Clear previous errors var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].textContent = ''; errorElements[i].style.display = 'none'; } // Validate numAssets if (isNaN(numAssets) || numAssets < 1) { document.getElementById('numAssetsError').textContent = 'Please enter a valid number of assets (at least 1).'; document.getElementById('numAssetsError').style.display = 'block'; allInputsValid = false; } // Collect and validate asset data for (var i = 1; i <= assetCounter; i++) { var nameInput = document.getElementById('assetName' + i); var weightInput = document.getElementById('assetWeight' + i); var betaInput = document.getElementById('assetBeta' + i); var name = nameInput ? nameInput.value.trim() : ''; var weight = weightInput ? parseFloat(weightInput.value) : NaN; var beta = betaInput ? parseFloat(betaInput.value) : NaN; // Validate inputs if (!name) { var nameError = document.getElementById('assetName' + i + 'Error'); if(nameError) { nameError.textContent = 'Asset name cannot be empty.'; nameError.style.display = 'block'; } allInputsValid = false; } if (isNaN(weight) || weight 0.1 && totalWeight > 0) { // Allow for minor floating point inaccuracies, but not if total is 0 var totalWeightError = document.getElementById('totalWeight span'); // This is a bit hacky, adding error message below the span var errorDiv = document.createElement('div'); errorDiv.className = 'error-message'; errorDiv.textContent = 'Total weight should sum to 100%. Current total: ' + totalWeight.toFixed(2) + '%'; errorDiv.style.display = 'block'; totalWeightError.parentNode.insertBefore(errorDiv, totalWeightError.nextSibling); allInputsValid = false; } else if (totalWeight === 0 && assetData.length > 0) { var totalWeightError = document.getElementById('totalWeight span'); var errorDiv = document.createElement('div'); errorDiv.className = 'error-message'; errorDiv.textContent = 'Total weight cannot be zero if assets exist.'; errorDiv.style.display = 'block'; totalWeightError.parentNode.insertBefore(errorDiv, totalWeightError.nextSibling); allInputsValid = false; } if (!allInputsValid) { document.getElementById('results').style.display = 'none'; return; } // Calculate Portfolio Variance (Simplified – assumes uncorrelated assets) var portfolioVariance = 0; var assetVariances = []; // Store for potential chart data or table for (var i = 0; i 0 ? (assetData.reduce(function(sum, asset) { return sum + asset.beta; }, 0) / assetData.length) : 0; // Display Results document.getElementById('primaryResult').textContent = sumOfBetas.toFixed(2); document.getElementById('avgBeta span').textContent = avgBeta.toFixed(2); document.getElementById('totalWeight span').textContent = totalWeight.toFixed(2) + '%'; document.getElementById('portfolioVariance span').textContent = portfolioStdDev.toFixed(2); // Displaying std dev as 'Portfolio Risk' document.getElementById('results').style.display = 'block'; // Update Table var tableBody = document.getElementById('assetTableBody'); tableBody.innerHTML = "; for (var i = 0; i < assetData.length; i++) { var row = tableBody.insertRow(); var contribution = (assetData[i].weight / 100) * assetData[i].beta; row.innerHTML = ` ${assetData[i].name} ${assetData[i].weight.toFixed(2)}% ${assetData[i].beta.toFixed(2)} ${contribution.toFixed(3)} `; } // Update Chart updateChart(assetData, sumOfBetas); } function updateChart(assetData, portfolioBeta) { var ctx = document.getElementById('betaDistributionChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for chart var labels = assetData.map(asset => asset.name); var individualBetas = assetData.map(asset => asset.beta); var weightedContributions = assetData.map(asset => (asset.weight / 100) * asset.beta); chartInstance = new Chart(ctx, { type: 'bar', data: { labels: labels, datasets: [{ label: 'Asset Beta', data: individualBetas, backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary blue borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, order: 2 // Render below weighted contributions }, { label: 'Contribution to Portfolio Beta', data: weightedContributions, backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success green borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1, order: 1 // Render on top }] }, options: { responsive: true, maintainAspectRatio: true, scales: { y: { beginAtZero: true, title: { display: true, text: 'Beta Value / Contribution' } }, x: { title: { display: true, text: 'Asset' } } }, plugins: { title: { display: true, text: `Portfolio Beta: ${portfolioBeta.toFixed(2)}`, font: { size: 16 } }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(3); } return label; } } } } } }); } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var avgBeta = document.getElementById('avgBeta span').textContent; var totalWeight = document.getElementById('totalWeight span').textContent; var portfolioRisk = document.getElementById('portfolioVariance span').textContent; var formula = document.querySelector('.formula-explanation').textContent; var tableRows = document.querySelectorAll('#assetTableBody tr'); var tableContent = "Asset Breakdown:\n"; tableRows.forEach(function(row) { var cells = row.querySelectorAll('td'); tableContent += `Asset: ${cells[0].textContent}, Weight: ${cells[1].textContent}, Beta: ${cells[2].textContent}, Contribution: ${cells[3].textContent}\n`; }); var assumptions = `Key Assumptions:\n${formula}\n`; var textToCopy = `— CAPM Weights Calculation Results —\n\n` + `Portfolio Weighted Average Beta: ${primaryResult}\n` + `Average Asset Beta (Unweighted): ${avgBeta}\n` + `Total Portfolio Weight: ${totalWeight}\n` + `Estimated Portfolio Risk (Std Dev): ${portfolioRisk}\n\n` + `${tableContent}\n` + `${assumptions}`; // Use navigator.clipboard for modern browsers if (navigator.clipboard) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); fallbackCopyTextToClipboard(textToCopy); }); } else { fallbackCopyTextToClipboard(textToCopy); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; // Avoid scrolling to bottom textArea.style.top = "0"; textArea.style.left = "0"; textArea.style.position = "fixed"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard (' + msg + ')!'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } function toggleFaq(element) { var content = element.nextElementSibling; if (content.style.display === "block") { content.style.display = "none"; } else { content.style.display = "block"; } } // Initialize chart rendering logic using native canvas // Need to ensure Chart.js or similar is available, or implement basic drawing // For this example, assuming a simplified Chart.js like structure or native canvas use. // If no Chart.js, this section would need a full native canvas implementation. // Since external libraries are forbidden, we'll simulate a basic bar chart with native canvas if Chart.js isn't implicitly allowed. // **NOTE**: A full native canvas chart implementation is complex. The code below ASSUMES a hypothetical `Chart` object exists, similar to Chart.js. // If pure native canvas is required, this part needs significant expansion. // Let's proceed assuming we can use a lightweight charting library OR provide a placeholder for native canvas. // **REVISED APPROACH**: Using native Canvas API for a basic bar chart as per requirements. function drawBasicBarChart(ctx, labels, data, yMax, title) { ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); var barWidth = (ctx.canvas.width / labels.length) * 0.6; var gapWidth = (ctx.canvas.width / labels.length) * 0.4; var barHeightScale = ctx.canvas.height / yMax; var padding = 30; // Draw axes ctx.strokeStyle = '#ccc'; ctx.lineWidth = 1; ctx.beginPath(); // Y-axis ctx.moveTo(padding, padding); ctx.lineTo(padding, ctx.canvas.height – padding); ctx.stroke(); // X-axis ctx.moveTo(padding, ctx.canvas.height – padding); ctx.lineTo(ctx.canvas.width – padding, ctx.canvas.height – padding); ctx.stroke(); // Draw bars and labels ctx.fillStyle = '#004a99′; ctx.font = '12px Arial'; ctx.textAlign = 'center'; for (var i = 0; i asset.name); var weightedContributions = assetData.map(asset => (asset.weight / 100) * asset.beta); // Determine max value for y-axis scale var maxY = Math.max(…weightedContributions, 1.0); // Ensure scale is reasonable even with low values maxY = Math.ceil(maxY * 1.1); // Add some padding at the top var chartTitle = `Portfolio Beta: ${portfolioBeta.toFixed(2)}`; // Call the native canvas drawing function drawBasicBarChart(ctx, labels, weightedContributions, maxY, chartTitle); document.getElementById('chartContainer').style.display = 'block'; // Clear the Chart.js instance if it was used previously if (chartInstance) { chartInstance = null; // Indicate no Chart.js instance } } // Initial setup when the page loads document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Initialize with default values });

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