Account Weighted Average Calculator

Account Weighted Average Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); 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-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; } h2, h3 { color: var(–primary-color); margin-top: 1.5em; margin-bottom: 0.5em; } .calculator-section { margin-bottom: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); } .calculator-section h2 { text-align: center; margin-top: 0; } .input-group { margin-bottom: 15px; text-align: left; } .input-group label { display: block; margin-bottom: 5px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group input[type="text"], .input-group select { width: calc(100% – 20px); padding: 10px; border: 1px solid var(–border-color); border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: red; font-size: 0.8em; margin-top: 5px; display: none; /* Hidden by default */ } .error-message.visible { display: block; } .button-group { text-align: center; margin-top: 20px; } .button-group button, .button-group input[type="button"] { background-color: var(–primary-color); color: white; border: none; padding: 10px 20px; margin: 5px; border-radius: 5px; cursor: pointer; font-size: 1em; transition: background-color 0.3s ease; } .button-group button:hover, .button-group input[type="button"]:hover { background-color: #003366; } .button-group .reset-button { background-color: #6c757d; } .button-group .reset-button:hover { background-color: #5a6268; } .results-container { margin-top: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); } .results-container h3 { text-align: center; margin-top: 0; } .primary-result { font-size: 2em; font-weight: bold; color: var(–primary-color); text-align: center; margin-bottom: 20px; padding: 15px; background-color: #e7f3ff; border-radius: 5px; border: 1px solid #cce5ff; } .intermediate-results div, .key-assumptions div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results span, .key-assumptions span { font-weight: bold; color: var(–primary-color); } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; padding-top: 10px; border-top: 1px dashed #ccc; } table { width: 100%; border-collapse: collapse; margin-top: 20px; } th, td { padding: 10px; border: 1px solid var(–border-color); text-align: right; } th { background-color: #e9ecef; color: var(–primary-color); font-weight: bold; text-align: center; } td { background-color: var(–card-background); } caption { font-size: 0.9em; color: #666; margin-bottom: 10px; text-align: left; } canvas { display: block; margin: 20px auto; max-width: 100%; border: 1px solid var(–border-color); border-radius: 4px; } .chart-legend { text-align: center; margin-top: 10px; font-size: 0.9em; } .chart-legend span { display: inline-block; margin: 0 10px; } .chart-legend .color-box { display: inline-block; width: 12px; height: 12px; margin-right: 5px; vertical-align: middle; border: 1px solid #ccc; } .copy-button { background-color: #17a2b8; } .copy-button:hover { background-color: #117a8b; } .article-content { margin-top: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); } .article-content h2, .article-content h3 { margin-top: 1.5em; } .article-content p { margin-bottom: 1em; } .article-content ul, .article-content ol { margin-left: 20px; margin-bottom: 1em; } .article-content li { margin-bottom: 0.5em; } .article-content table { margin-top: 1em; } .article-content th, .article-content td { text-align: left; } .article-content .faq-question { font-weight: bold; color: var(–primary-color); margin-top: 1em; margin-bottom: 0.5em; } .article-content .faq-answer { margin-left: 15px; margin-bottom: 1em; } .internal-links { margin-top: 2em; padding: 15px; background-color: #f0f0f0; border-radius: 5px; } .internal-links h3 { margin-top: 0; text-align: center; } .internal-links ul { list-style: none; padding: 0; margin: 0; } .internal-links li { margin-bottom: 10px; } .internal-links a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .internal-links a:hover { text-decoration: underline; } .internal-links p { font-size: 0.9em; color: #555; margin-top: 5px; } .highlight { background-color: yellow; font-weight: bold; }

Account Weighted Average Calculator

Understand your portfolio's true performance by calculating the weighted average of your accounts.

Weighted Average Calculator

Enter a descriptive name for the first account.
Enter the current monetary value of the first account.
Enter the percentage this account represents in your total portfolio (e.g., 50 for 50%).
Enter a descriptive name for the second account.
Enter the current monetary value of the second account.
Enter the percentage this account represents in your total portfolio (e.g., 25 for 25%).
Enter a descriptive name for the third account.
Enter the current monetary value of the third account.
Enter the percentage this account represents in your total portfolio (e.g., 25 for 25%).

Calculation Results

Total Portfolio Value:
Total Weight:
Weighted Average Value:
Formula Used: Weighted Average = Σ (Value of Account * Weight of Account) / Σ (Weight of Account)
This calculator simplifies it by assuming weights sum to 100%. If they don't, it normalizes them.

Key Assumptions:

Total Portfolio Value:
Total Weight Input:
Normalized Weight Used:

Account Value Distribution

Account Details Table

Account Name Value Weight (%) Weighted Contribution

What is an Account Weighted Average?

An account weighted average is a financial metric used to determine the average value of a set of accounts, where each account's value is given a specific importance or "weight." Unlike a simple average, which treats all data points equally, a weighted average accounts for the varying significance of each component. In personal finance and investment management, this concept is crucial for understanding the overall performance and composition of a diversified portfolio. It helps investors grasp how different asset classes or individual accounts contribute to the total portfolio's value and potential returns, considering their relative sizes.

Who Should Use It?

Anyone managing multiple financial accounts or investments can benefit from understanding their account weighted average. This includes:

  • Individual investors with diverse portfolios (stocks, bonds, real estate, savings).
  • Financial advisors assessing client portfolios.
  • Portfolio managers evaluating asset allocation strategies.
  • Individuals trying to understand the true average performance across different savings or investment vehicles.

Common Misconceptions

A common misconception is that the account weighted average is the same as a simple average. This is incorrect because it fails to account for the differing sizes of accounts. For instance, a simple average of a $10,000 investment account and a $1,000,000 investment account would yield a misleading figure that doesn't reflect the dominance of the larger account. Another misconception is that the weights must always add up to 100%; while this is the ideal scenario for a complete portfolio view, the calculator can normalize weights if they don't, providing a useful metric even with incomplete data.

Account Weighted Average Formula and Mathematical Explanation

The core concept behind calculating an account weighted average involves multiplying each account's value by its assigned weight, summing these products, and then dividing by the sum of all weights. This ensures that larger accounts have a proportionally larger impact on the final average.

Step-by-Step Derivation

  1. Identify Accounts and Values: List all the financial accounts you want to include in the calculation and their current monetary values.
  2. Assign Weights: Determine the weight for each account. This is typically represented as a percentage of the total portfolio value. The sum of these weights should ideally be 100%.
  3. Calculate Weighted Value for Each Account: For each account, multiply its value by its weight (expressed as a decimal, e.g., 50% = 0.50).
  4. Sum Weighted Values: Add up the weighted values calculated in the previous step for all accounts.
  5. Sum Weights: Add up all the assigned weights.
  6. Calculate Weighted Average: Divide the sum of the weighted values (Step 4) by the sum of the weights (Step 5). If the weights were designed to sum to 100% (or 1.00 as a decimal), this division step effectively normalizes the result.

Variable Explanations

Let's define the variables used in the account weighted average calculation:

Variable Meaning Unit Typical Range
Vi Value of the i-th account Currency (e.g., USD, EUR) ≥ 0
Wi Weight of the i-th account Percentage (%) or Decimal (0-1) 0% to 100% (or 0 to 1)
Σ Summation symbol N/A N/A
Total Portfolio Value Sum of all individual account values (Σ Vi) Currency ≥ 0
Total Weight Input Sum of all assigned weights (Σ Wi) Percentage (%) or Decimal Typically 100% (or 1.00)
Normalized Weight The actual sum of weights used after potential normalization (Σ Wi / Σ Wi = 1) Decimal 1.00
Weighted Average Value The final calculated average value, considering weights Currency Can range from the minimum to maximum account value

Mathematical Formula

The formula for the account weighted average is:

Weighted Average = [ (V1 * W1) + (V2 * W2) + … + (Vn * Wn) ] / [ W1 + W2 + … + Wn ]

Or more concisely:

Weighted Average = Σ (Vi * Wi) / Σ Wi

Where:

  • Vi is the value of the i-th account.
  • Wi is the weight of the i-th account.
  • Σ denotes the sum across all accounts (i from 1 to n).

The calculator simplifies this by ensuring the denominator (sum of weights) used in the final calculation is effectively 1 (by normalizing if the input weights don't sum to 100%). The "Weighted Average Value" displayed is thus the average value per unit of weight, which, when weights sum to 100%, directly represents the portfolio's average account value adjusted for its composition.

Practical Examples (Real-World Use Cases)

Example 1: Diversified Investment Portfolio

Sarah has a portfolio with three main accounts:

  • Account A (Stocks): Value = $50,000, Weight = 60%
  • Account B (Bonds): Value = $25,000, Weight = 30%
  • Account C (Cash): Value = $5,000, Weight = 10%

Calculation:

  • Total Portfolio Value = $50,000 + $25,000 + $5,000 = $80,000
  • Total Weight Input = 60% + 30% + 10% = 100%
  • Weighted Contribution A = $50,000 * 0.60 = $30,000
  • Weighted Contribution B = $25,000 * 0.30 = $7,500
  • Weighted Contribution C = $5,000 * 0.10 = $500
  • Sum of Weighted Contributions = $30,000 + $7,500 + $500 = $38,000
  • Weighted Average Value = $38,000 / 1.00 = $38,000

Interpretation: The account weighted average of $38,000 indicates that, considering the allocation, the portfolio's value is heavily influenced by the stock account. If Sarah were to simply average the account values ($50k + $25k + $5k) / 3 = $26,667, it would underestimate the portfolio's composition due to the significant weight of the stock account.

Example 2: Simplified Savings and Investment

John is tracking two primary financial holdings:

  • Account X (High-Yield Savings): Value = $15,000, Weight = 40%
  • Account Y (Index Fund): Value = $35,000, Weight = 60%

Calculation:

  • Total Portfolio Value = $15,000 + $35,000 = $50,000
  • Total Weight Input = 40% + 60% = 100%
  • Weighted Contribution X = $15,000 * 0.40 = $6,000
  • Weighted Contribution Y = $35,000 * 0.60 = $21,000
  • Sum of Weighted Contributions = $6,000 + $21,000 = $27,000
  • Weighted Average Value = $27,000 / 1.00 = $27,000

Interpretation: The account weighted average of $27,000 reflects the larger allocation towards the index fund. This metric provides a more accurate picture of the portfolio's structure than a simple average (($15k + $35k) / 2 = $25,000), highlighting the greater impact of the index fund's performance on the overall portfolio.

How to Use This Account Weighted Average Calculator

Using our account weighted average calculator is straightforward. Follow these steps to get an accurate assessment of your portfolio's composition:

Step-by-Step Instructions

  1. Enter Account Names: Input a clear name for each account (e.g., "Brokerage Account," "Emergency Fund").
  2. Input Account Values: For each account, enter its current total monetary value. Ensure these are accurate figures.
  3. Specify Account Weights: For each account, enter the percentage it represents of your total intended portfolio. For example, if your total portfolio is meant to be split 50/30/20, enter 50 for the first account, 30 for the second, and 20 for the third. The calculator will normalize weights if they don't sum to 100%.
  4. Calculate: Click the "Calculate Weighted Average" button.
  5. Review Results: The calculator will display the primary weighted average result, along with intermediate values like total portfolio value and total weight.
  6. Analyze Table and Chart: Examine the table for a breakdown of each account's weighted contribution and the chart for a visual representation of value distribution.
  7. Copy Results (Optional): Use the "Copy Results" button to save or share the calculated figures and assumptions.
  8. Reset: Click "Reset" to clear all fields and start over with default values.

How to Read Results

  • Primary Result (Weighted Average Value): This figure represents the average value per unit of weight. When your input weights sum to 100%, this value gives you a sense of the "average" account size adjusted for its proportion in the portfolio. It's heavily influenced by accounts with higher weights.
  • Total Portfolio Value: The sum of all entered account values.
  • Total Weight Input: The sum of the percentages you entered. If it's not 100%, the calculator normalizes it.
  • Weighted Contribution (Table): Shows how much each account contributes to the sum of weighted values (Value * Normalized Weight).
  • Chart: Visually demonstrates the proportion of each account's value relative to the total portfolio.

Decision-Making Guidance

The account weighted average is a tool for analysis, not a direct recommendation. Use the results to:

  • Assess Diversification: If one account heavily dominates the weighted average, your portfolio might be over-concentrated.
  • Rebalance Strategy: Identify accounts that are over- or under-weighted compared to your target allocation.
  • Performance Evaluation: Understand how the size of each account impacts its contribution to overall portfolio metrics.

Key Factors That Affect Account Weighted Average Results

Several factors influence the calculation and interpretation of an account weighted average:

  1. Account Values: The most direct factor. Higher account values naturally increase their influence on the weighted average, especially if their weights are significant. Fluctuations in market prices directly impact these values.
  2. Account Weights: The assigned percentage is critical. An account with a small value but a large weight can skew the average more than a large account with a small weight. Accurate weight assignment is key to meaningful results.
  3. Number of Accounts: While the formula works with any number, a larger number of accounts with smaller individual weights might lead to a weighted average closer to a simple average, assuming weights are somewhat evenly distributed.
  4. Target Asset Allocation: Investors often use weighted averages to compare their current portfolio composition against their desired asset allocation. Deviations highlight areas needing rebalancing.
  5. Investment Goals: Whether your goal is capital preservation, income generation, or growth, the weights assigned to different account types (e.g., conservative bonds vs. aggressive stocks) will reflect these goals and impact the weighted average.
  6. Market Volatility: Significant market swings can alter account values rapidly, thus changing the weighted average even if weights remain constant. This is particularly true for volatile assets like stocks.
  7. Fees and Expenses: While not directly part of the weighted average calculation itself, ongoing fees and expenses reduce the net value of accounts over time, indirectly affecting the input values and thus the final weighted average.
  8. Inflation: Inflation erodes the purchasing power of money. While the weighted average calculation uses nominal values, understanding the real (inflation-adjusted) return of accounts is crucial for long-term financial health.

Frequently Asked Questions (FAQ)

What is the difference between a simple average and a weighted average?
A simple average treats all data points equally. A weighted average assigns different levels of importance (weights) to each data point, meaning some points have a greater influence on the final average than others. For financial accounts, weights reflect their relative size or strategic importance.
Do the weights in the account weighted average calculator need to sum to 100%?
Ideally, yes, if you are considering your entire portfolio. However, this calculator will normalize the weights if they don't sum to 100%, allowing you to calculate a weighted average even with partial data. The "Normalized Weight" in the results will show the factor used.
Can I use this calculator for more than three accounts?
The current interface is designed for three accounts. For more accounts, you would need to manually extend the HTML inputs and JavaScript logic or use a more advanced tool. However, the core formula remains the same.
What does the "Weighted Average Value" represent if my weights don't sum to 100%?
When weights don't sum to 100%, the calculator normalizes them so the sum used in the calculation is 1. The "Weighted Average Value" then represents the average contribution per unit of normalized weight. It's a standardized average reflecting the composition based on the provided weights.
How often should I update my account weighted average?
It's advisable to recalculate your account weighted average periodically, such as quarterly or annually, or whenever significant changes occur in your portfolio values or allocation strategy. This ensures your understanding remains current.
Can this calculator predict future performance?
No, this calculator determines the current weighted average based on existing values and weights. It does not predict future investment performance, which depends on market conditions and asset class behavior.
What are common weights for different asset classes?
Common weights vary greatly depending on an individual's risk tolerance, age, and financial goals. A conservative investor might allocate more weight to bonds and cash (e.g., 60% bonds, 30% stocks, 10% cash), while an aggressive investor might favor stocks (e.g., 80% stocks, 15% bonds, 5% alternatives).
How does the weighted average help in rebalancing?
By calculating the weighted average and comparing it to your target allocation, you can identify which accounts have grown disproportionately (higher weight than intended) or shrunk (lower weight). This information guides decisions on selling over-weighted assets and buying under-weighted ones to return to your target mix.
© 2023 Your Financial Website. All rights reserved.
var accountInputs = [ { name: 'accountName1', value: 'Investment Account A', type: 'text' }, { name: 'accountValue1', value: 10000, type: 'number', min: 0, step: 'any' }, { name: 'accountWeight1', value: 50, type: 'number', min: 0, max: 100, step: 'any' }, { name: 'accountName2', value: 'Savings Account B', type: 'text' }, { name: 'accountValue2', value: 5000, type: 'number', min: 0, step: 'any' }, { name: 'accountWeight2', value: 25, type: 'number', min: 0, max: 100, step: 'any' }, { name: 'accountName3', value: 'Retirement Fund C', type: 'text' }, { name: 'accountValue3', value: 5000, type: 'number', min: 0, step: 'any' }, { name: 'accountWeight3', value: 25, type: 'number', min: 0, max: 100, step: 'any' } ]; var chart = null; var chartData = { labels: [], datasets: [{ label: 'Account Value Distribution', data: [], backgroundColor: [ 'rgba(0, 74, 153, 0.7)', 'rgba(40, 167, 115, 0.7)', 'rgba(255, 193, 7, 0.7)' ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 115, 1)', 'rgba(255, 193, 7, 1)' ], borderWidth: 1 }] }; var chartColors = [ 'rgba(0, 74, 153, 0.7)', 'rgba(40, 167, 115, 0.7)', 'rgba(255, 193, 7, 0.7)' ]; var chartBorderColors = [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 115, 1)', 'rgba(255, 193, 7, 1)' ]; function validateInput(id, min, max) { var input = document.getElementById(id); var errorElement = document.getElementById(id + 'Error'); var value = parseFloat(input.value); if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; errorElement.classList.add('visible'); return false; } if (min !== undefined && value max) { errorElement.textContent = "Value cannot be greater than " + max + "."; errorElement.classList.add('visible'); return false; } errorElement.textContent = ""; errorElement.classList.remove('visible'); return true; } function calculateWeightedAverage() { var totalPortfolioValue = 0; var totalWeightInput = 0; var sumWeightedValues = 0; var accountData = []; var isValid = true; for (var i = 1; i 0) { normalizedWeightSum = 1; // Target sum for normalized weights for (var i = 0; i 0) { var numAccountsWithValues = accountData.filter(acc => acc.value > 0).length; if (numAccountsWithValues > 0) { var equalWeight = 1 / numAccountsWithValues; for (var i = 0; i 0) { normalizedWeights.push(equalWeight); sumWeightedValues += accountData[i].value * equalWeight; } else { normalizedWeights.push(0); // Account with 0 value gets 0 weight } } normalizedWeightSum = 1; // Since we normalized } } } var weightedAverageValue = sumWeightedValues / normalizedWeightSum; document.getElementById('primaryResult').textContent = formatCurrency(weightedAverageValue); document.getElementById('totalPortfolioValue').querySelector('span').textContent = formatCurrency(totalPortfolioValue); document.getElementById('totalWeight').querySelector('span').textContent = totalWeightInput.toFixed(2) + '%'; document.getElementById('weightedAverageValue').querySelector('span').textContent = formatCurrency(weightedAverageValue); document.getElementById('assumptionTotalValue').querySelector('span').textContent = formatCurrency(totalPortfolioValue); document.getElementById('assumptionTotalWeight').querySelector('span').textContent = totalWeightInput.toFixed(2) + '%'; document.getElementById('assumptionNormalizedWeight').querySelector('span').textContent = normalizedWeightSum.toFixed(2); updateTable(accountData, normalizedWeights); updateChart(accountData, normalizedWeights); } function formatCurrency(amount) { return '$' + amount.toFixed(2).replace(/\d(?=(\d{3})+\.)/g, '$1,'); } function updateTable(accountData, normalizedWeights) { var tableBody = document.getElementById('accountTableBody'); tableBody.innerHTML = "; // Clear existing rows for (var i = 0; i < accountData.length; i++) { var row = tableBody.insertRow(); var nameCell = row.insertCell(); var valueCell = row.insertCell(); var weightCell = row.insertCell(); var weightedContributionCell = row.insertCell(); var currentAccount = accountData[i]; var normalizedW = normalizedWeights[i] || 0; // Default to 0 if not calculated var weightedContribution = currentAccount.value * normalizedW; nameCell.textContent = currentAccount.name; valueCell.textContent = formatCurrency(currentAccount.value); weightCell.textContent = currentAccount.weight.toFixed(2) + '%'; weightedContributionCell.textContent = formatCurrency(weightedContribution); } // Add placeholder rows if less than 3 accounts were provided for (var i = accountData.length; i < 3; i++) { var row = tableBody.insertRow(); var nameCell = row.insertCell(); var valueCell = row.insertCell(); var weightCell = row.insertCell(); var weightedContributionCell = row.insertCell(); nameCell.textContent = '–'; valueCell.textContent = '–'; weightCell.textContent = '–'; weightedContributionCell.textContent = '–'; } } function updateChart(accountData, normalizedWeights) { var canvas = document.getElementById('accountDistributionChart'); var ctx = canvas.getContext('2d'); chartData.labels = []; chartData.datasets[0].data = []; chartData.datasets[0].backgroundColor = []; chartData.datasets[0].borderColor = []; for (var i = 0; i < accountData.length; i++) { chartData.labels.push(accountData[i].name); chartData.datasets[0].data.push(accountData[i].value); chartData.datasets[0].backgroundColor.push(chartColors[i % chartColors.length]); chartData.datasets[0].borderColor.push(chartBorderColors[i % chartBorderColors.length]); } // Update legend for (var i = 1; i <= 3; i++) { var legendElement = document.getElementById('legend' + i); if (accountData[i-1]) { legendElement.innerHTML = ' ' + accountData[i-1].name + ': ' + formatCurrency(accountData[i-1].value); } else { legendElement.innerHTML = "; // Clear if no data } } if (chart) { chart.destroy(); } chart = new Chart(ctx, { type: 'pie', data: chartData, options: { responsive: true, maintainAspectRatio: false, plugins: { legend: { display: false // Hide default legend, use custom one }, tooltip: { callbacks: { label: function(context) { var label = context.label || "; if (label) { label += ': '; } if (context.parsed !== null) { label += formatCurrency(context.parsed); } return label; } } } } } }); } function resetCalculator() { for (var i = 0; i < accountInputs.length; i++) { var inputElement = document.getElementById(accountInputs[i].name); if (inputElement) { inputElement.value = accountInputs[i].value; } var errorElement = document.getElementById(accountInputs[i].name + 'Error'); if (errorElement) { errorElement.textContent = ""; errorElement.classList.remove('visible'); } } // Reset results display document.getElementById('primaryResult').textContent = '–'; document.getElementById('totalPortfolioValue').querySelector('span').textContent = '–'; document.getElementById('totalWeight').querySelector('span').textContent = '–'; document.getElementById('weightedAverageValue').querySelector('span').textContent = '–'; document.getElementById('assumptionTotalValue').querySelector('span').textContent = '–'; document.getElementById('assumptionTotalWeight').querySelector('span').textContent = '–'; document.getElementById('assumptionNormalizedWeight').querySelector('span').textContent = '–'; // Reset table var tableBody = document.getElementById('accountTableBody'); tableBody.innerHTML = ''; for (var i = 0; i < 3; i++) { var row = tableBody.insertRow(); var nameCell = row.insertCell(); var valueCell = row.insertCell(); var weightCell = row.insertCell(); var weightedContributionCell = row.insertCell(); nameCell.textContent = '–'; valueCell.textContent = '–'; weightCell.textContent = '–'; weightedContributionCell.textContent = '–'; } // Reset chart chartData.labels = []; chartData.datasets[0].data = []; if (chart) { chart.destroy(); chart = null; } // Clear legend for (var i = 1; i <= 3; i++) { document.getElementById('legend' + i).innerHTML = ''; } } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var totalPortfolioValue = document.getElementById('totalPortfolioValue').querySelector('span').textContent; var totalWeight = document.getElementById('totalWeight').querySelector('span').textContent; var weightedAverageValue = document.getElementById('weightedAverageValue').querySelector('span').textContent; var assumptionTotalValue = document.getElementById('assumptionTotalValue').querySelector('span').textContent; var assumptionTotalWeight = document.getElementById('assumptionTotalWeight').querySelector('span').textContent; var assumptionNormalizedWeight = document.getElementById('assumptionNormalizedWeight').querySelector('span').textContent; var tableRows = document.querySelectorAll('#accountTableBody tr'); var tableContent = "Account Details:\n"; tableRows.forEach(function(row) { var cells = row.querySelectorAll('td'); if (cells.length === 4) { tableContent += ` – ${cells[0].textContent} | Value: ${cells[1].textContent} | Weight: ${cells[2].textContent} | Contribution: ${cells[3].textContent}\n`; } }); var copyText = `Account Weighted Average Results:\n\n` + `Primary Result: ${primaryResult}\n` + `Total Portfolio Value: ${totalPortfolioValue}\n` + `Total Weight Input: ${totalWeight}\n` + `Weighted Average Value: ${weightedAverageValue}\n\n` + `Key Assumptions:\n` + ` Total Portfolio Value: ${assumptionTotalValue}\n` + ` Total Weight Input: ${assumptionTotalWeight}\n` + ` Normalized Weight Used: ${assumptionNormalizedWeight}\n\n` + `${tableContent}`; navigator.clipboard.writeText(copyText).then(function() { // Optional: Show a confirmation message var tempInput = document.createElement("textarea"); tempInput.style = "position: absolute; left: -1000px; top: -1000px;"; tempInput.value = copyText; document.body.appendChild(tempInput); tempInput.select(); document.execCommand("copy"); document.body.removeChild(tempInput); alert("Results copied to clipboard!"); }).catch(function(err) { console.error('Failed to copy text: ', err); alert("Failed to copy results. Please copy manually."); }); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { calculateWeightedAverage(); // Add event listeners for real-time updates var inputs = document.querySelectorAll('#calculatorForm input'); inputs.forEach(function(input) { input.addEventListener('input', calculateWeightedAverage); input.addEventListener('change', calculateWeightedAverage); // For select elements if any }); });

Leave a Comment