1 Calculate the Portfolio Beta Weighting Individual Stock’s Betas

Portfolio Beta Calculator: Weighting Individual Stock Betas :root { –primary-color: #004a99; –secondary-color: #007bff; –success-color: #28a745; –danger-color: #dc3545; –warning-color: #ffc107; –info-color: #17a2b8; –light-color: #f8f9fa; –dark-color: #343a40; –body-bg: #f8f9fa; –card-bg: #ffffff; –text-color: #333; –border-color: #ccc; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–body-bg); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-bg); box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); border-radius: 8px; display: flex; flex-direction: column; } h1, h2, h3 { color: var(–primary-color); margin-bottom: 15px; } h1 { text-align: center; font-size: 2.2em; margin-bottom: 25px; } h2 { font-size: 1.8em; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; margin-top: 30px; } h3 { font-size: 1.4em; margin-top: 20px; } .calculator-section { margin-bottom: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-bg); } .calculator-section h2 { margin-top: 0; border-bottom: none; } .loan-calc-container { display: flex; flex-direction: column; gap: 15px; } .input-group { display: flex; flex-direction: column; gap: 8px; } .input-group label { font-weight: bold; color: var(–dark-color); } .input-group input[type="number"], .input-group input[type="text"], .input-group select { padding: 12px 15px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; box-sizing: border-box; } .input-group input[type="number"]:focus, .input-group input[type="text"]:focus, .input-group select:focus { border-color: var(–primary-color); outline: none; box-shadow: 0 0 0 2px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.85em; color: #666; } .error-message { color: var(–danger-color); font-size: 0.9em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { display: flex; gap: 15px; margin-top: 25px; justify-content: center; flex-wrap: wrap; } .btn { padding: 12px 25px; border: none; border-radius: 5px; font-size: 1em; font-weight: bold; cursor: pointer; transition: background-color 0.3s ease, transform 0.2s ease; text-transform: uppercase; letter-spacing: 0.5px; } .btn-primary { background-color: var(–primary-color); color: white; } .btn-primary:hover { background-color: #003a7d; transform: translateY(-2px); } .btn-secondary { background-color: var(–secondary-color); color: white; } .btn-secondary:hover { background-color: #0056b3; transform: translateY(-2px); } .btn-success { background-color: var(–success-color); color: white; } .btn-success:hover { background-color: #218838; transform: translateY(-2px); } .btn-danger { background-color: var(–danger-color); color: white; } .btn-danger:hover { background-color: #c82333; transform: translateY(-2px); } #results { margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–light-color); text-align: center; display: none; /* Hidden by default */ } #results h3 { margin-top: 0; color: var(–dark-color); } #results .main-result { font-size: 2.5em; font-weight: bold; color: var(–success-color); margin: 15px 0; padding: 15px; background-color: #e9f7ef; border-radius: 6px; border: 2px dashed var(–success-color); } #results .intermediate-results div, #results .key-assumptions div { margin-bottom: 10px; font-size: 1.1em; } #results .intermediate-results span, #results .key-assumptions span { font-weight: bold; color: var(–primary-color); } .chart-container { margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-bg); } .chart-container h3 { margin-top: 0; } .chart-caption { font-size: 0.9em; color: #666; text-align: center; margin-bottom: 15px; } #portfolioBetaChart { width: 100%; height: 300px; background-color: white; /* Ensure canvas has a background */ border-radius: 5px; } .table-container { margin-top: 30px; overflow-x: auto; /* For responsiveness on smaller screens */ } .table-container h3 { margin-top: 0; } table { width: 100%; border-collapse: collapse; margin-bottom: 20px; box-shadow: 0 1px 3px rgba(0,0,0,0.1); } th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid var(–border-color); } thead th { background-color: var(–primary-color); color: white; font-weight: bold; text-transform: uppercase; font-size: 0.9em; } tbody tr:nth-child(even) { background-color: var(–light-color); } tbody td:nth-child(2), tbody td:nth-child(3) { text-align: right; /* Align numeric data */ } .article-content { margin-top: 40px; padding: 30px; background-color: var(–card-bg); border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); } .article-content p, .article-content ul, .article-content ol { margin-bottom: 15px; } .article-content ul, .article-content ol { padding-left: 20px; } .article-content li { margin-bottom: 8px; } .article-content a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; border-left: 3px solid var(–primary-color); padding-left: 15px; } .faq-item strong { display: block; color: var(–primary-color); margin-bottom: 5px; } .faq-item p { margin-bottom: 0; } .variable-table { width: 100%; margin-bottom: 20px; } .variable-table th, .variable-table td { border: 1px solid #ddd; padding: 8px; text-align: left; } .variable-table th { background-color: var(–primary-color); color: white; } .variable-table td:nth-child(3), .variable-table td:nth-child(4) { text-align: center; } .related-tools { margin-top: 30px; padding: 25px; background-color: var(–light-color); border-radius: 8px; border: 1px solid var(–border-color); } .related-tools h3 { margin-top: 0; color: var(–dark-color); } .related-tools ul { list-style: none; padding: 0; } .related-tools li { margin-bottom: 12px; border-bottom: 1px dashed var(–border-color); padding-bottom: 8px; } .related-tools li:last-child { border-bottom: none; } .related-tools a { font-weight: bold; } .related-tools span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } @media (min-width: 768px) { .container { padding: 30px; } .btn-group { justify-content: flex-start; } }

Portfolio Beta Calculator: Weighting Individual Stock Betas

Calculate and understand your portfolio's systematic risk by weighting individual stock betas. This tool helps you quantify your portfolio's sensitivity to market movements.

Portfolio Beta Calculator

Name of the first stock in your portfolio.
Enter the beta value for Stock 1 (e.g., 1.2 means it's 20% more volatile than the market).
Enter the percentage of your total portfolio value this stock represents.
Name of the second stock in your portfolio.
Enter the beta value for Stock 2 (e.g., 0.9 means it's 10% less volatile than the market).
Enter the percentage of your total portfolio value this stock represents.
Name of the third stock in your portfolio.
Enter the beta value for Stock 3 (e.g., 1.5 means it's 50% more volatile than the market).
Enter the percentage of your total portfolio value this stock represents.

Calculation Summary

Portfolio Beta:

Weighted Beta (Stock 1):

Weighted Beta (Stock 2):

Weighted Beta (Stock 3):

Key Assumptions:

Total Portfolio Weight: %

Number of Stocks:

Formula Used: Portfolio Beta = Σ (Weight of Stock_i * Beta of Stock_i)

Portfolio vs. Individual Stock Beta Contribution

Visualizing how each stock's beta contributes to the overall portfolio beta.

Stock Beta Breakdown

Stock Name Beta Portfolio Weight (%) Weighted Beta Contribution

What is Portfolio Beta Weighting?

Portfolio beta weighting is a method used in finance to calculate the overall systematic risk of an investment portfolio. It involves assigning a "weight" to each individual stock's beta based on its proportion in the portfolio. The resulting portfolio beta quantifies how sensitive the entire portfolio's value is to the overall market's movements. A portfolio beta greater than 1 indicates higher volatility than the market, while a beta less than 1 suggests lower volatility. Understanding your portfolio beta is crucial for risk management, asset allocation, and aligning your investments with your risk tolerance.

This concept is fundamental for investors who aim to understand and manage their exposure to market-wide risks. It's not about predicting stock performance but rather about measuring the inherent market-related risk. Many investors mistakenly believe beta alone dictates investment performance; however, it only measures systematic risk, not all forms of investment risk. True portfolio management considers both systematic (beta-driven) and unsystematic (company-specific) risks, along with other factors like diversification and correlation.

Portfolio Beta Weighting Formula and Mathematical Explanation

The core idea behind portfolio beta weighting is to aggregate the individual risks of each component security, weighted by their significance within the portfolio. This allows for a single, consolidated measure of the portfolio's market sensitivity.

The formula is as follows:

Portfolio Beta = Σ (Weight of Stock_i * Beta of Stock_i)

Where:

  • Σ (Sigma) represents the summation across all individual stocks in the portfolio.
  • Weight of Stock_i is the proportion of the total portfolio value invested in stock 'i'. This is typically expressed as a decimal (e.g., 30% = 0.30) or a percentage. For our calculator, we use percentages for input ease but convert to decimals for calculation.
  • Beta of Stock_i is the individual beta coefficient of stock 'i', which measures its volatility relative to the overall market (often represented by a benchmark index like the S&P 500).

Mathematical Derivation:

  1. Determine Individual Betas: Obtain the beta value for each stock in your portfolio. This data is usually available from financial data providers.
  2. Calculate Portfolio Weights: Determine the market value of each stock holding and divide it by the total market value of the entire portfolio. This gives you the weight of each stock (W_i). Sum of all weights must equal 1 (or 100%).
  3. Calculate Weighted Betas: For each stock, multiply its beta (β_i) by its portfolio weight (W_i). This gives you the weighted beta contribution for that stock (W_i * β_i).
  4. Sum Weighted Betas: Add up the weighted beta contributions from all individual stocks. The sum is your portfolio beta (β_p).

Variable Explanations:

Variable Meaning Unit Typical Range
Portfolio Beta (βp) Measures the systematic risk of the entire portfolio relative to the market. Unitless Typically 0.5 to 2.0, but can vary widely. A beta of 1 means it moves with the market.
Stock Beta (βi) Measures the systematic risk of an individual stock relative to the market. Unitless Often between 0.5 and 2.0, but can be outside this range.
Portfolio Weight (Wi) The proportion of the total portfolio value invested in a specific stock. Percentage (%) or Decimal 0% to 100% (sum of all weights must be 100%).
Weighted Beta Contribution (Wi * βi) The contribution of an individual stock's beta to the total portfolio beta. Unitless Varies based on W_i and βi.

Practical Examples (Real-World Use Cases)

Let's illustrate portfolio beta weighting with two distinct scenarios:

Example 1: Growth-Oriented Portfolio

An investor with a higher risk tolerance might construct a portfolio focused on growth stocks.

  • Stock X: Beta = 1.4, Portfolio Weight = 40%
  • Stock Y: Beta = 1.6, Portfolio Weight = 35%
  • Stock Z: Beta = 1.1, Portfolio Weight = 25%

Calculation:

  • Weighted Beta (X) = 0.40 * 1.4 = 0.56
  • Weighted Beta (Y) = 0.35 * 1.6 = 0.56
  • Weighted Beta (Z) = 0.25 * 1.1 = 0.275
  • Total Portfolio Beta = 0.56 + 0.56 + 0.275 = 1.395

Interpretation: This portfolio has a beta of approximately 1.40. It is expected to be about 40% more volatile than the overall market. This aligns with a growth objective, where the investor accepts higher potential market-driven fluctuations for potentially higher returns.

Example 2: Income & Stability Focused Portfolio

A more conservative investor might build a portfolio prioritizing stability and income.

  • Stock P: Beta = 0.8, Portfolio Weight = 50%
  • Stock Q: Beta = 0.6, Portfolio Weight = 30%
  • Stock R: Beta = 1.2, Portfolio Weight = 20% (Perhaps a dividend-paying company in a cyclical sector)

Calculation:

  • Weighted Beta (P) = 0.50 * 0.8 = 0.40
  • Weighted Beta (Q) = 0.30 * 0.6 = 0.18
  • Weighted Beta (R) = 0.20 * 1.2 = 0.24
  • Total Portfolio Beta = 0.40 + 0.18 + 0.24 = 0.82

Interpretation: This portfolio has a beta of 0.82. It is expected to be less volatile than the overall market, moving roughly 82% in the same direction as the market. This suits an investor seeking to reduce exposure to market swings while potentially still capturing some market upside. This demonstrates how portfolio beta weighting helps tailor risk profiles.

How to Use This Portfolio Beta Calculator

Using our Portfolio Beta Calculator is straightforward. Follow these steps to get an accurate measure of your portfolio's systematic risk:

  1. Enter Stock Names: Input the common names for each stock (e.g., Apple, Microsoft). This helps in identifying them in the results table.
  2. Input Individual Betas: For each stock, enter its corresponding beta value. You can typically find this information on financial websites like Yahoo Finance, Google Finance, or from your brokerage platform. Beta measures volatility relative to a benchmark index (like the S&P 500). A beta of 1 means the stock moves with the market; >1 means it's more volatile; <1 means it's less volatile.
  3. Enter Portfolio Weights: For each stock, enter the percentage of your total portfolio value that it represents. Ensure these percentages add up to 100%. The calculator will automatically sum them and flag if they don't equal 100%.
  4. Click 'Calculate Beta': Once all inputs are entered, click the "Calculate Beta" button.

Reading Your Results:

  • Portfolio Beta (Main Result): This is the primary output, displayed prominently. A beta above 1.0 suggests your portfolio is expected to move more than the market. A beta below 1.0 suggests it's expected to move less. A beta of 1.0 implies it should move in line with the market.
  • Weighted Beta Contributions: These show how much each individual stock contributes to the overall portfolio beta. High-beta stocks with significant weights will have a larger impact.
  • Key Assumptions: This section confirms the total portfolio weight entered and the number of stocks included, providing context for the calculation.
  • Beta Breakdown Table: Provides a detailed view of each stock's beta, its weight, and its calculated weighted contribution.
  • Chart: Visually represents the weighted beta contribution of each stock, making it easy to see which holdings drive the most market risk.

Decision-Making Guidance:

Your calculated portfolio beta can inform several investment decisions:

  • Risk Alignment: Does the calculated beta align with your personal risk tolerance? If your beta is too high for your comfort level, consider reducing weights in high-beta stocks or increasing weights in low-beta stocks or even including less correlated assets.
  • Diversification Check: While beta measures systematic risk, an excessively high beta might indicate a lack of diversification across different market sectors or asset classes. Explore if your portfolio is overly concentrated in high-beta industries. This calculator complements a broader diversification strategy.
  • Rebalancing Opportunities: If market movements cause your portfolio beta to drift significantly from your target, it might be time to rebalance your holdings.
  • Understanding Market Impact: Use the beta to anticipate how your portfolio might react during market upturns and downturns. For instance, a beta of 1.5 suggests your portfolio might gain 15% when the market gains 10%, but also lose 15% when the market loses 10%.

Key Factors That Affect Portfolio Beta Results

Several factors influence the calculated portfolio beta and its interpretation:

  1. Individual Stock Betas: The most direct influence. Higher individual stock betas, especially in larger portfolio weights, will naturally increase the overall portfolio beta. Factors affecting individual stock betas include industry sector, company size, financial leverage, and business model resilience.
  2. Portfolio Weights: The proportion of capital allocated to each stock is critical. A high-beta stock with a small weight might have less impact than a moderate-beta stock with a very large weight. Accurate valuation and allocation are key for proper portfolio weighting.
  3. Market Conditions and Benchmark Choice: Beta is relative to a benchmark index (e.g., S&P 500). If the chosen benchmark is volatile or doesn't accurately represent the market segment your portfolio operates in, the beta calculation might be skewed. Beta can also change over time as market conditions evolve.
  4. Diversification Level: While beta measures systematic risk, a well-diversified portfolio across different sectors and asset classes tends to have a more stable and predictable beta. Over-concentration in a single sector (e.g., technology) can amplify the portfolio's beta if that sector is highly correlated with market movements.
  5. Correlation Between Assets: Beta calculation assumes a linear relationship with the market. However, the correlation *between* assets within the portfolio also matters for overall risk. Low correlation between assets can reduce unsystematic risk, potentially allowing for a higher overall beta without a proportional increase in portfolio risk.
  6. Economic Factors (Interest Rates, Inflation, Growth): Broader economic trends influence the market's overall volatility and, consequently, individual stock betas. For example, rising interest rates might disproportionately affect growth stocks (higher beta) more than value stocks (potentially lower beta). Inflation can also impact different sectors differently.
  7. Company-Specific News and Events: While beta theoretically captures only systematic risk, significant company-specific news (e.g., product launch, regulatory changes, M&A activity) can cause short-term deviations from the expected beta, especially if the news impacts investor sentiment towards the entire sector.
  8. Time Horizon: Betas can be calculated over different time frames (e.g., 1-year, 3-year, 5-year). A short-term beta might reflect recent volatility, while a long-term beta provides a more stable historical perspective. Choosing the appropriate time horizon is important for relevant analysis.

Frequently Asked Questions (FAQ)

Q1: What is the ideal portfolio beta?

A1: There is no single "ideal" portfolio beta. The optimal beta depends entirely on an investor's risk tolerance, investment goals, and time horizon. Conservative investors might aim for a beta below 1.0, while aggressive investors might accept a beta above 1.0.

Q2: Can portfolio beta be negative?

A2: Yes, although rare. A negative beta indicates that a stock or portfolio tends to move in the opposite direction of the overall market. Assets like gold or certain inverse ETFs might exhibit negative betas during specific market conditions.

Q3: How often should I update my portfolio beta?

A3: It's advisable to recalculate your portfolio beta periodically, typically quarterly or semi-annually, or whenever you make significant changes to your portfolio's holdings or allocations. Individual stock betas also change over time.

Q4: Does beta account for all investment risk?

A4: No. Beta only measures systematic risk (market risk) – the risk inherent to the entire market that cannot be diversified away. It does not account for unsystematic risk (company-specific risk), such as poor management, product failures, or competition.

Q5: How do I find the beta for a specific stock?

A5: Beta values are commonly available on financial data websites (e.g., Yahoo Finance, Bloomberg, Google Finance), brokerage platforms, and financial news sites. Look for the stock's profile or key statistics.

Q6: What if my stock weights don't add up to 100%?

A6: The calculator will highlight this if the total weight entered is not 100%. For an accurate portfolio beta, ensure the sum of the weights of all your holdings equals 100%. If you have cash or other assets, you might need to adjust the weights or consider them as a separate "asset" with a beta typically close to 0.

Q7: Does beta predict future performance?

A7: No. Beta is a historical measure of volatility relative to the market. While it can provide insights into expected future behavior, it is not a guarantee. Future market conditions and company performance can differ significantly from historical data.

Q8: How does sector allocation affect portfolio beta?

A8: Different sectors have inherently different beta characteristics. For example, technology and consumer discretionary stocks often have higher betas, while utilities and consumer staples tend to have lower betas. Over-weighting high-beta sectors will increase your portfolio beta, and vice-versa. A balanced sector allocation is key for managing overall portfolio risk.

© 2023 Your Financial Platform. All rights reserved. This calculator is for informational purposes only.

// Helper function to validate number inputs function validateInput(inputId, errorId, minValue, maxValue) { var input = document.getElementById(inputId); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); errorDiv.style.display = 'none'; // Hide error by default if (input.value === "") { errorDiv.textContent = "This field cannot be empty."; errorDiv.style.display = 'block'; return false; } if (isNaN(value)) { errorDiv.textContent = "Please enter a valid number."; errorDiv.style.display = 'block'; return false; } if (minValue !== undefined && value maxValue) { errorDiv.textContent = "Value cannot exceed " + maxValue + "%."; errorDiv.style.display = 'block'; return false; } return true; } // Function to update the table and chart function updateTableAndChart() { var stockData = []; var totalWeight = 0; for (var i = 1; i <= 3; i++) { var name = document.getElementById('stock' + i + 'Name').value || ('Stock ' + i); var betaInput = document.getElementById('stock' + i + 'Beta'); var weightInput = document.getElementById('stock' + i + 'Weight'); var beta = parseFloat(betaInput.value); var weight = parseFloat(weightInput.value); if (!isNaN(beta) && !isNaN(weight)) { stockData.push({ name: name, beta: beta, weight: weight }); totalWeight += weight; } } var tableBody = document.querySelector("#betaBreakdownTable tbody"); tableBody.innerHTML = ''; // Clear previous rows var portfolioBeta = 0; for (var j = 0; j 0 ? (stockData[0].weight * stockData[0].beta).toFixed(3) : 'N/A'); document.getElementById("weightedBeta2").textContent = (stockData.length > 1 ? (stockData[1].weight * stockData[1].beta).toFixed(3) : 'N/A'); document.getElementById("weightedBeta3").textContent = (stockData.length > 2 ? (stockData[2].weight * stockData[2].beta).toFixed(3) : 'N/A'); document.getElementById("totalWeightAssumption").textContent = totalWeight.toFixed(1); document.getElementById("numberOfStocksAssumption").textContent = stockData.length; if (stockData.length > 0) { document.getElementById("results").style.display = 'block'; } else { document.getElementById("results").style.display = 'none'; } // Update Chart updateChart(stockData, portfolioBeta); } // Function to update the chart function updateChart(stockData, portfolioBeta) { var ctx = document.getElementById('portfolioBetaChart').getContext('2d'); // Destroy previous chart instance if it exists if (window.portfolioBetaChartInstance) { window.portfolioBetaChartInstance.destroy(); } var labels = []; var weightedBetaContributions = []; var individualBetas = []; for (var i = 0; i 0.01) { // Allow for small floating point errors // We don't have a specific error element for total weight, so just log or use a general message concept // For now, we proceed but the assumption display will show the deviation. console.log("Total weight is not 100%. It is: " + totalWeightInput.toFixed(1) + "%"); } if (isValid) { updateTableAndChart(); } else { document.getElementById("results").style.display = 'none'; // Hide results if validation fails } } // Reset function function resetCalculator() { document.getElementById('stock1Name').value = 'Stock A'; document.getElementById('stock1Beta').value = '1.2'; document.getElementById('stock1Weight').value = '30'; document.getElementById('stock2Name').value = 'Stock B'; document.getElementById('stock2Beta').value = '0.9'; document.getElementById('stock2Weight').value = '40'; document.getElementById('stock3Name').value = 'Stock C'; document.getElementById('stock3Beta').value = '1.5'; document.getElementById('stock3Weight').value = '30'; // Clear error messages var errorDivs = document.querySelectorAll('.error-message'); for (var i = 0; i < errorDivs.length; i++) { errorDivs[i].style.display = 'none'; errorDivs[i].textContent = ''; } document.getElementById("results").style.display = 'none'; if (window.portfolioBetaChartInstance) { window.portfolioBetaChartInstance.destroy(); window.portfolioBetaChartInstance = null; } // Optionally clear the canvas var canvas = document.getElementById('portfolioBetaChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } // Copy Results function function copyResults() { var portfolioBeta = document.getElementById("portfolioBetaResult").textContent; var weightedBeta1 = document.getElementById("weightedBeta1").textContent; var weightedBeta2 = document.getElementById("weightedBeta2").textContent; var weightedBeta3 = document.getElementById("weightedBeta3").textContent; var totalWeight = document.getElementById("totalWeightAssumption").textContent; var numStocks = document.getElementById("numberOfStocksAssumption").textContent; var resultText = "Portfolio Beta Calculation Results:\n\n"; resultText += "Main Result:\n"; resultText += "Portfolio Beta: " + portfolioBeta + "\n\n"; resultText += "Intermediate Values:\n"; resultText += "Weighted Beta (Stock 1): " + weightedBeta1 + "\n"; resultText += "Weighted Beta (Stock 2): " + weightedBeta2 + "\n"; resultText += "Weighted Beta (Stock 3): " + weightedBeta3 + "\n\n"; resultText += "Key Assumptions:\n"; resultText += "Total Portfolio Weight: " + totalWeight + "%\n"; resultText += "Number of Stocks: " + numStocks + "\n\n"; resultText += "Formula: Portfolio Beta = Σ (Weight of Stock_i * Beta of Stock_i)"; // Use the Clipboard API navigator.clipboard.writeText(resultText).then(function() { // Optionally provide user feedback var copyButton = event.target; var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for older browsers or specific environments might be needed alert('Could not copy results. Please select and copy manually.'); }); } // Initial calculation and chart render on page load document.addEventListener('DOMContentLoaded', function() { // Add Chart.js script dynamically var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { // Initial calculation with default values calculatePortfolioBeta(); // Add event listeners for real-time updates var inputs = document.querySelectorAll('#stockInputs input'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', function() { // Basic validation on input change before full calculation var id = this.id; if (id.endsWith('Beta')) validateInput(id, id + 'Error', 0); if (id.endsWith('Weight')) validateInput(id, id + 'Error', 0, 100); // Trigger full recalculation if inputs are potentially valid if (document.getElementById('stock1Beta').value !== '' && document.getElementById('stock1Weight').value !== '' && document.getElementById('stock2Beta').value !== '' && document.getElementById('stock2Weight').value !== '' && document.getElementById('stock3Beta').value !== '' && document.getElementById('stock3Weight').value !== '') { calculatePortfolioBeta(); } else { // If some required fields are empty, hide results document.getElementById("results").style.display = 'none'; if (window.portfolioBetaChartInstance) { window.portfolioBetaChartInstance.destroy(); window.portfolioBetaChartInstance = null; } } }); } }; document.head.appendChild(script); });

Leave a Comment