Calculate a Time Weighted Average

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Time Weighted Average Calculator

Accurately measure investment performance over time.

Investment Performance Calculator

Enter the value of your portfolio at the beginning of the period.
Value just before any money is added or removed.
Positive for contribution, negative for withdrawal.
Value just before the next money movement.
Positive for contribution, negative for withdrawal.
Value at the end of the entire period.

Calculation Results

Period 1 Return:
Period 2 Return:
Overall Portfolio Return:
Time Weighted Average Return (TWAR):
Formula: TWAR = [(1 + R1) * (1 + R2) * … * (1 + Rn)]^(1/n) – 1, where R is the return for each sub-period. Contributions/withdrawals are handled by calculating returns between these events.

Performance Breakdown

Investment Performance Over Sub-Periods
Period Starting Value Contributions/Withdrawals Ending Value Sub-Period Return
Period 1
Period 2
Overall

Portfolio Growth Visualization

What is Time Weighted Average Return?

The Time Weighted Average Return (TWAR) is a crucial metric used in finance to accurately measure the performance of an investment portfolio over a specific period, especially when there are cash flows (contributions or withdrawals) into or out of the portfolio. Unlike a simple money-weighted return, TWAR isolates the performance of the investment manager or strategy by removing the distorting effects of the timing and size of cash flows. This makes it the industry standard for evaluating fund managers and comparing investment strategies on an apples-to-apples basis.

Who Should Use It?

TWAR is primarily used by:

  • Investment Managers and Funds: To report performance to clients and benchmark against peers.
  • Institutional Investors: Such as pension funds and endowments, to evaluate the effectiveness of their external investment managers.
  • Sophisticated Individual Investors: Who want a precise understanding of how their investment strategy performed, independent of when they added or removed capital.
  • Financial Advisors: To demonstrate the value they bring to clients by focusing on investment selection and strategy rather than timing of capital flows.

Common Misconceptions

A common misconception is that TWAR is the same as the overall percentage change in portfolio value. This is only true if there are no cash flows during the period. Another misconception is that TWAR is the same as Money-Weighted Return (MWR). While both measure investment performance, MWR is heavily influenced by the timing of cash flows (it's essentially the IRR of the portfolio), whereas TWAR neutralizes this effect. TWAR answers the question: "How did the investment strategy perform?", while MWR answers: "What return did *my* investment achieve given *my* cash flow decisions?".

Time Weighted Average Return Formula and Mathematical Explanation

The core principle behind the Time Weighted Average Return is to break down the total period into smaller sub-periods, typically defined by the dates of external cash flows (contributions or withdrawals). The return for each sub-period is calculated independently, and then these returns are geometrically linked to find the overall TWAR.

Step-by-Step Derivation

  1. Identify Sub-Periods: Divide the total investment period into sub-periods. Each sub-period starts either at the beginning of the total period or immediately after a contribution/withdrawal, and ends just before the next contribution/withdrawal or at the end of the total period.
  2. Calculate Sub-Period Returns: For each sub-period, calculate the return (R) using the formula:
    R = (Ending Value - Beginning Value - Cash Flow) / (Beginning Value)
    Alternatively, if the cash flow occurs *at the end* of the sub-period, the formula is:
    R = (Ending Value - Beginning Value) / (Beginning Value + Cash Flow)
    A more robust method, especially when cash flows happen mid-period, is to calculate the return from the start of the sub-period to the point just before the cash flow, and then from the cash flow date to the end of the sub-period. For simplicity in many calculators, we assume cash flows happen at the end of a defined interval or that the values provided are precisely before/after these events. The formula used here assumes the 'period value' is *before* the contribution/withdrawal.
    R_subperiod = (Value_after_cashflow - Value_before_cashflow) / Value_before_cashflow
    Where Value_after_cashflow = Value_before_cashflow + Contribution/Withdrawal. A more precise calculation for a sub-period return (R_i) when a cash flow (CF_i) occurs: R_i = ((V_end_i - V_start_i - CF_i) / V_start_i) If the cash flow is at the end of the period, the return is calculated as: R_i = (V_end_i - V_start_i) / (V_start_i + CF_i) However, the calculator uses a simplified approach where `periodXValue` is the value *before* the `contributionX`. The return for the first period is calculated based on `initialValue` and `period1Value`, and the second period uses `period1Value + contribution1` as its start and `period2Value` as its end, and so on.
  3. Link the Returns: To combine the sub-period returns, we use a geometric linking process. For each sub-period return R_i, calculate (1 + R_i).
  4. Calculate the Overall Growth Factor: Multiply all the (1 + R_i) terms together:
    Overall Growth Factor = (1 + R1) * (1 + R2) * ... * (1 + Rn)
  5. Calculate TWAR: Subtract 1 from the Overall Growth Factor and raise it to the power of (1/n), where 'n' is the number of sub-periods.
    TWAR = (Overall Growth Factor)^(1/n) - 1

Variable Explanations

The calculator uses the following inputs and calculates intermediate values:

Variable Meaning Unit Typical Range
Starting Portfolio Value The initial amount invested at the beginning of the measurement period. Currency (e.g., USD, EUR) Positive number
Value Before Contribution/Withdrawal The portfolio's value immediately prior to a cash flow event. This defines the end of one sub-period and the start of the next calculation segment. Currency Positive number
Contribution/Withdrawal The amount of money added (positive) or removed (negative) from the portfolio. Currency Any real number (positive or negative)
Ending Portfolio Value The portfolio's value at the end of the measurement period. Currency Positive number
Sub-Period Return (Ri) The percentage gain or loss within a specific sub-period, adjusted for cash flows. Percentage (%) Can range from -100% to very high positive values.
Time Weighted Average Return (TWAR) The annualized geometric average rate of return over the entire period, neutralizing the impact of cash flows. Percentage (%) Typically between -100% and high positive values.

Practical Examples (Real-World Use Cases)

Let's illustrate the Time Weighted Average Return with practical scenarios.

Example 1: Modest Growth with Regular Contributions

Sarah starts an investment portfolio with $10,000. After 6 months, the portfolio grows to $12,000, and she contributes an additional $500. Three months later (9 months total), the portfolio is worth $13,500 before she withdraws $200. At the end of the year (12 months total), the portfolio value is $15,000.

Inputs:

  • Starting Portfolio Value: $10,000
  • Value Before First Contribution: $12,000
  • First Contribution: +$500
  • Value Before Second Withdrawal: $13,500
  • Second Withdrawal: -$200
  • Ending Portfolio Value: $15,000

Calculations:

  • Period 1 (Start to before first contribution): Value grew from $10,000 to $12,000.
    R1 = ($12,000 – $10,000) / $10,000 = 0.20 or 20%
  • Period 2 (After first contribution to before second withdrawal): Value started effectively at $12,000 + $500 = $12,500 and grew to $13,500.
    R2 = ($13,500 – $12,500) / $12,500 = $1,000 / $12,500 = 0.08 or 8%
  • Period 3 (After second withdrawal to end): Value started effectively at $13,500 – $200 = $13,300 and grew to $15,000.
    R3 = ($15,000 – $13,300) / $13,300 = $1,700 / $13,300 ≈ 0.1278 or 12.78%
  • TWAR Calculation:
    Growth Factor = (1 + 0.20) * (1 + 0.08) * (1 + 0.1278)
    Growth Factor = 1.20 * 1.08 * 1.1278 ≈ 1.4616
    TWAR = (1.4616)^(1/3) – 1 ≈ 1.1340 – 1 = 0.1340 or 13.40%

Interpretation:

Despite Sarah adding and withdrawing funds, her investment strategy generated a Time Weighted Average Return of approximately 13.40% for the year. This metric accurately reflects the performance of the underlying investments, unaffected by her cash flow decisions.

Example 2: Volatile Market with Withdrawals

John invested $50,000. Six months later, the value dropped to $40,000, and he withdrew $5,000 due to an emergency. Three months later (9 months total), the market recovered, and the portfolio value rose to $45,000. By year-end, the value reached $48,000.

Inputs:

  • Starting Portfolio Value: $50,000
  • Value Before First Withdrawal: $40,000
  • First Withdrawal: -$5,000
  • Ending Portfolio Value: $48,000

Calculations:

  • Period 1 (Start to before first withdrawal): Value decreased from $50,000 to $40,000.
    R1 = ($40,000 – $50,000) / $50,000 = -$10,000 / $50,000 = -0.20 or -20%
  • Period 2 (After first withdrawal to end): Value started effectively at $40,000 – $5,000 = $35,000 and grew to $48,000.
    R2 = ($48,000 – $35,000) / $35,000 = $13,000 / $35,000 ≈ 0.3714 or 37.14%
  • TWAR Calculation:
    Growth Factor = (1 + (-0.20)) * (1 + 0.3714)
    Growth Factor = 0.80 * 1.3714 ≈ 1.0971
    TWAR = (1.0971)^(1/2) – 1 ≈ 1.0474 – 1 = 0.0474 or 4.74%

Interpretation:

Even though John had to withdraw funds during a downturn, the subsequent recovery in the portfolio resulted in a positive Time Weighted Average Return of approximately 4.74% for the year. This shows the investment strategy recovered well, despite the challenging market conditions and the forced withdrawal.

How to Use This Time Weighted Average Return Calculator

Our Time Weighted Average Return (TWAR) calculator is designed for simplicity and accuracy. Follow these steps to understand your investment performance:

  1. Input Initial Value: Enter the total value of your investment portfolio at the very beginning of the period you wish to analyze.
  2. Record Intermediate Values & Cash Flows: For each significant event where money was added (contribution) or removed (withdrawal) from your portfolio during the period, you need two data points:
    • The portfolio's value *just before* the cash flow occurred.
    • The exact amount of the contribution (as a positive number) or withdrawal (as a negative number).
    Enter these values sequentially for each event. The calculator supports multiple cash flow points.
  3. Input Ending Value: Enter the total value of your portfolio at the very end of the measurement period.
  4. Calculate: Click the "Calculate" button. The calculator will process your inputs.

How to Read Results

  • Sub-Period Returns: These show the performance of your portfolio between cash flow events (or from the start/to the end). They help identify periods of strong or weak performance.
  • Overall Portfolio Return: This is the simple percentage change in your portfolio's value from start to end, *ignoring* the impact of cash flows. It's a useful starting point but can be misleading if cash flows were significant.
  • Time Weighted Average Return (TWAR): This is the primary result. It represents the compounded rate of return per sub-period, averaged geometrically over the entire measurement duration. It's the most accurate measure of your investment strategy's success, independent of your timing with contributions and withdrawals.

Decision-Making Guidance

Use the TWAR to:

  • Evaluate Investment Managers: Compare the TWAR provided by different managers or strategies.
  • Assess Your Strategy: Understand if your investment choices are performing well over time, regardless of market timing or capital allocation decisions.
  • Benchmark Performance: Compare your TWAR against relevant market indices or peer group returns. A consistently higher TWAR suggests superior investment selection or strategy execution.
  • Identify Issues: If your TWAR is consistently lower than expected or benchmarks, it may signal a need to review your investment strategy, asset allocation, or manager selection.

Key Factors That Affect Time Weighted Average Return Results

While TWAR is designed to neutralize the impact of cash flow timing, several underlying factors significantly influence the calculated returns for each sub-period and, consequently, the overall TWAR. Understanding these factors is crucial for interpreting the results and making informed investment decisions.

  1. Investment Strategy & Asset Allocation: The fundamental choices made regarding which asset classes to invest in (stocks, bonds, real estate, etc.) and the proportion allocated to each (asset allocation) are the primary drivers of returns. A growth-oriented strategy might yield higher TWAR in bull markets but suffer more in downturns compared to a conservative, income-focused strategy.
  2. Market Conditions: Broader economic factors, market sentiment, interest rate changes, inflation, geopolitical events, and industry-specific trends all impact asset prices. A TWAR calculated during a strong bull market will naturally be higher than one calculated during a recession or period of high volatility.
  3. Security Selection: Within each asset class, the specific securities chosen (e.g., individual stocks, bonds, ETFs) play a vital role. Skillful selection of undervalued assets or high-growth potential companies can significantly boost sub-period returns and the overall TWAR. Conversely, poor selection can drag performance down.
  4. Fees and Expenses: Management fees, trading commissions, advisory fees, and other operational costs directly reduce investment returns. Even small percentage differences in fees can compound over time and materially lower the TWAR, especially for long-term investments. Always consider the net return after all costs.
  5. Time Horizon: While TWAR calculates an average return per sub-period, the overall TWAR is influenced by the length and volatility of the measurement period. Longer periods may smooth out short-term fluctuations, potentially leading to a more representative TWAR. Shorter periods might capture extreme highs or lows, making the TWAR less indicative of long-term potential.
  6. Inflation: Inflation erodes the purchasing power of returns. While TWAR measures nominal returns, a high TWAR might still result in a low or negative *real* return (after accounting for inflation). Investors should consider real returns when assessing the true growth of their wealth.
  7. Taxes: Investment gains are often subject to capital gains taxes or income taxes. These taxes reduce the net amount an investor actually keeps. While TWAR typically measures pre-tax returns, understanding the tax implications is crucial for evaluating the final, usable return on investment.
  8. Rebalancing Frequency and Strategy: How often and how aggressively a portfolio is rebalanced (adjusting asset allocation back to target weights) can impact TWAR. Disciplined rebalancing can help manage risk and potentially capture gains, while infrequent or poorly timed rebalancing might miss opportunities or increase exposure to risk.

Frequently Asked Questions (FAQ)

What is the difference between Time Weighted Return and Money Weighted Return?
Time Weighted Return (TWAR) measures the compound rate of growth in a portfolio, isolating the investment manager's performance by removing the effect of cash flows. Money Weighted Return (MWR), essentially the Internal Rate of Return (IRR), measures the return an investor actually receives, heavily influenced by the timing and size of their cash flows. TWAR is used for manager evaluation; MWR reflects the investor's personal experience.
Why is TWAR considered the industry standard for performance reporting?
TWAR provides a standardized and objective way to compare the performance of different investment managers or strategies. By eliminating the variable of client cash flows, it allows for a fair assessment of the manager's skill in generating returns.
Can TWAR be negative?
Yes, TWAR can be negative if the investment portfolio loses value during the measurement period, even after accounting for cash flows. This indicates that the underlying investment strategy underperformed during that time.
How do I handle multiple cash flows within a single day?
For precise calculations, each cash flow event should ideally define the end of one sub-period and the start of another. If multiple cash flows occur on the same day, they are typically aggregated, or the portfolio value is adjusted sequentially for each flow to calculate the return for that specific day or the shortest relevant interval. Our calculator simplifies this by assuming distinct points in time for each input.
Does TWAR account for taxes and fees?
Typically, TWAR calculations are performed on a pre-tax, pre-fee basis to evaluate the gross performance of the investment strategy itself. However, for a complete picture of investor outcomes, net-of-fee and net-of-tax returns should also be considered. Our calculator focuses on the gross performance based on provided values.
What is the minimum number of periods required for TWAR?
Technically, TWAR can be calculated for a single period if there are no cash flows. However, its true value emerges when there are multiple sub-periods, especially those separated by cash flows, allowing for the geometric linking of returns. The more sub-periods defined by cash flows, the more robust the TWAR calculation becomes.
How does TWAR relate to the overall portfolio growth?
The overall portfolio growth (simple percentage change) is the product of (1 + TWAR) raised to the power of the number of periods, adjusted for cash flows. TWAR is the *average* periodic growth rate that, when compounded over the sub-periods, yields the total portfolio performance, neutralizing cash flow timing effects.
Can I use TWAR to predict future performance?
No, TWAR is a historical performance measure. It reflects past results and does not guarantee future outcomes. While it indicates how well a strategy has performed historically, future market conditions and investment decisions will determine future returns.

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var tableContribution2 = document.getElementById('tableContribution2'); var tableEndValue2 = document.getElementById('tableEndValue2'); var tableReturn2 = document.getElementById('tableReturn2'); var tableStartValueOverall = document.getElementById('tableStartValueOverall'); var tableContributionOverall = document.getElementById('tableContributionOverall'); var tableEndValueOverall = document.getElementById('tableEndValueOverall'); var tableReturnOverall = document.getElementById('tableReturnOverall'); var portfolioGrowthChart = document.getElementById('portfolioGrowthChart').getContext('2d'); var chartInstance = null; // To hold the chart instance function formatCurrency(value) { if (isNaN(value) || value === null) return '–'; return value.toLocaleString(undefined, { style: 'currency', currency: 'USD' }); } function formatPercentage(value) { if (isNaN(value) || value === null) return '–'; return (value * 100).toFixed(2) + '%'; } function validateInput(inputId, errorId, minValue, maxValue) { var input = document.getElementById(inputId); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); errorElement.style.display = 'none'; // Hide error initially if (input.value === ") { errorElement.textContent = 'This field cannot be empty.'; errorElement.style.display = 'block'; return false; } if (isNaN(value)) { errorElement.textContent = 'Please enter a valid number.'; errorElement.style.display = 'block'; return false; } if (minValue !== undefined && value maxValue) { errorElement.textContent = 'Value cannot be greater than ' + maxValue + '.'; errorElement.style.display = 'block'; return false; } return true; } function calculateTimeWeightedAverage() { // Clear previous errors document.getElementById('initialValueError').style.display = 'none'; document.getElementById('period1ValueError').style.display = 'none'; document.getElementById('contribution1Error').style.display = 'none'; document.getElementById('period2ValueError').style.display = 'none'; document.getElementById('contribution2Error').style.display = 'none'; document.getElementById('endingValueError').style.display = 'none'; // Validate inputs var isValid = true; isValid = validateInput('initialValue', 'initialValueError', 0) && isValid; isValid = validateInput('period1Value', 'period1ValueError', 0) && isValid; isValid = validateInput('contribution1', 'contribution1Error') && isValid; isValid = validateInput('period2Value', 'period2ValueError', 0) && isValid; isValid = validateInput('contribution2', 'contribution2Error') && isValid; isValid = validateInput('endingValue', 'endingValueError', 0) && isValid; if (!isValid) { return; // Stop calculation if validation fails } var initialValue = parseFloat(initialValueInput.value); var period1Value = parseFloat(period1ValueInput.value); var contribution1 = parseFloat(contribution1Input.value); var period2Value = parseFloat(period2ValueInput.value); var contribution2 = parseFloat(contribution2Input.value); var endingValue = parseFloat(endingValueInput.value); // — Calculations — // Period 1: From initialValue to period1Value (before contribution1) var startValue1 = initialValue; var endValue1 = period1Value; var period1Return = (endValue1 – startValue1) / startValue1; // Period 2: From (period1Value + contribution1) to period2Value (before contribution2) var startValue2 = period1Value + contribution1; var endValue2 = period2Value; var period2Return = (endValue2 – startValue2) / startValue2; // Period 3: From (period2Value + contribution2) to endingValue var startValue3 = period2Value + contribution2; var endValue3 = endingValue; var period3Return = (endValue3 – startValue3) / startValue3; // Overall Portfolio Return (simple change, ignoring cash flow timing) var overallPortfolioReturn = (endingValue – initialValue) / initialValue; // Time Weighted Average Return (TWAR) // Geometric linking of sub-period returns var growthFactor1 = 1 + period1Return; var growthFactor2 = 1 + period2Return; var growthFactor3 = 1 + period3Return; var combinedGrowthFactor = growthFactor1 * growthFactor2 * growthFactor3; var numPeriods = 3; // Number of sub-periods var timeWeightedAverageReturn = Math.pow(combinedGrowthFactor, 1 / numPeriods) – 1; // — Update Results Display — period1ReturnSpan.textContent = formatPercentage(period1Return); period2ReturnSpan.textContent = formatPercentage(period2Return); overallPortfolioReturnSpan.textContent = formatPercentage(overallPortfolioReturn); timeWeightedAverageReturnSpan.textContent = formatPercentage(timeWeightedAverageReturn); // — Update Table — tableStartValue1.textContent = formatCurrency(startValue1); tableContribution1.textContent = formatCurrency(0); // Contribution happens *after* period 1 tableEndValue1.textContent = formatCurrency(endValue1); tableReturn1.textContent = formatPercentage(period1Return); tableStartValue2.textContent = formatCurrency(startValue2); tableContribution2.textContent = formatCurrency(contribution1); // Contribution 1 is part of start for period 2 calc tableEndValue2.textContent = formatCurrency(endValue2); tableReturn2.textContent = formatPercentage(period2Return); // For the overall row, we show the initial and final values and the simple overall return tableStartValueOverall.textContent = formatCurrency(initialValue); tableContributionOverall.textContent = formatCurrency(contribution1 + contribution2); // Total cash flow tableEndValueOverall.textContent = formatCurrency(endingValue); tableReturnOverall.textContent = formatPercentage(overallPortfolioReturn); // — Update Chart — updateChart([ { label: 'Period 1', start: startValue1, contribution: 0, end: endValue1, return: period1Return }, { label: 'Period 2', start: startValue2, contribution: contribution1, end: endValue2, return: period2Return }, { label: 'Period 3', start: startValue3, contribution: contribution2, end: endValue3, return: period3Return } ]); } function updateChart(periodsData) { if (chartInstance) { chartInstance.destroy(); // Destroy previous chart instance } var labels = []; var portfolioValues = []; // Represents value *before* cash flow for the period start var cumulativeReturns = []; // Represents the compounded TWAR up to that point var currentPortfolioValue = parseFloat(initialValueInput.value); var cumulativeTWAR = 0; labels.push("Start"); portfolioValues.push(currentPortfolioValue); cumulativeReturns.push(0); // Start with 0% TWAR for (var i = 0; i < periodsData.length; i++) { var period = periodsData[i]; var periodLabel = period.label; var periodStartValue = parseFloat(document.getElementById('initialValue').value); // Reset for first period var periodContribution = 0; if (i === 0) { // Period 1 periodStartValue = parseFloat(initialValueInput.value); periodContribution = 0; // Contribution happens after period 1 currentPortfolioValue = parseFloat(period1ValueInput.value); cumulativeTWAR = (1 + period.return) – 1; } else if (i === 1) { // Period 2 periodStartValue = parseFloat(period1ValueInput.value) + parseFloat(contribution1Input.value); periodContribution = parseFloat(contribution1Input.value); currentPortfolioValue = parseFloat(period2ValueInput.value); cumulativeTWAR = Math.pow((1 + period1Return) * (1 + period.return), 1 / (i + 1)) – 1; } else if (i === 2) { // Period 3 periodStartValue = parseFloat(period2ValueInput.value) + parseFloat(contribution2Input.value); periodContribution = parseFloat(contribution2Input.value); currentPortfolioValue = parseFloat(endingValueInput.value); cumulativeTWAR = Math.pow((1 + period1Return) * (1 + period2Return) * (1 + period.return), 1 / (i + 1)) – 1; } labels.push(periodLabel + " End"); portfolioValues.push(currentPortfolioValue); // Value at the end of the period cumulativeReturns.push(cumulativeTWAR); } // Add final overall value for clarity labels.push("Final"); portfolioValues.push(parseFloat(endingValueInput.value)); cumulativeReturns.push(parseFloat(timeWeightedAverageReturnSpan.textContent.replace('%', '')) / 100); chartInstance = new Chart(portfolioGrowthChart, { type: 'line', data: { labels: labels, datasets: [{ label: 'Portfolio Value', data: portfolioValues, borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.1 }, { label: 'Cumulative TWAR', data: cumulativeReturns.map(function(ret) { return parseFloat(initialValueInput.value) * (1 + ret); }), // Scale TWAR to portfolio value for comparison borderColor: 'var(–success-color)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, borderDash: [5, 5] // Dashed line for TWAR }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: false, title: { display: true, text: 'Value / Return (%)' } }, x: { title: { display: true, text: 'Period' } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.dataset.label === 'Portfolio Value') { label += formatCurrency(context.raw); } else if (context.dataset.label === 'Cumulative TWAR') { label += formatPercentage(context.raw / parseFloat(initialValueInput.value)); } return label; } } }, legend: { position: 'top', } } } }); // Update chart legend manually if needed, or rely on plugin var legendHtml = 'Portfolio Value: Shows the actual balance of your investment over time. '; legendHtml += 'Cumulative TWAR: Represents the compounded time-weighted average return achieved up to that point, scaled to the initial investment value for comparison.'; document.getElementById('chartLegend').innerHTML = legendHtml; } function resetCalculator() { initialValueInput.value = '10000'; period1ValueInput.value = '12000'; contribution1Input.value = '500'; period2ValueInput.value = '13500'; contribution2Input.value = '-200'; endingValueInput.value = '15000'; // Clear results and table period1ReturnSpan.textContent = '–'; period2ReturnSpan.textContent = '–'; overallPortfolioReturnSpan.textContent = '–'; timeWeightedAverageReturnSpan.textContent = '–'; tableStartValue1.textContent = '–'; tableContribution1.textContent = '–'; tableEndValue1.textContent = '–'; tableReturn1.textContent = '–'; tableStartValue2.textContent = '–'; tableContribution2.textContent = '–'; tableEndValue2.textContent = '–'; tableReturn2.textContent = '–'; tableStartValueOverall.textContent = '–'; tableContributionOverall.textContent = '–'; tableEndValueOverall.textContent = '–'; tableReturnOverall.textContent = '–'; // Clear chart if (chartInstance) { chartInstance.destroy(); chartInstance = null; } portfolioGrowthChart.getContext('2d').clearRect(0, 0, portfolioGrowthChart.width, portfolioGrowthChart.height); document.getElementById('chartLegend').innerHTML = "; // Clear errors document.getElementById('initialValueError').style.display = 'none'; document.getElementById('period1ValueError').style.display = 'none'; document.getElementById('contribution1Error').style.display = 'none'; document.getElementById('period2ValueError').style.display = 'none'; document.getElementById('contribution2Error').style.display = 'none'; document.getElementById('endingValueError').style.display = 'none'; } function copyResults() { var resultsText = "— Time Weighted Average Return Calculation Results —\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Starting Portfolio Value: " + formatCurrency(parseFloat(initialValueInput.value)) + "\n"; resultsText += "- Period 1 Value (before contribution): " + formatCurrency(parseFloat(period1ValueInput.value)) + "\n"; resultsText += "- Contribution 1: " + formatCurrency(parseFloat(contribution1Input.value)) + "\n"; resultsText += "- Period 2 Value (before contribution): " + formatCurrency(parseFloat(period2ValueInput.value)) + "\n"; resultsText += "- Contribution 2: " + formatCurrency(parseFloat(contribution2Input.value)) + "\n"; resultsText += "- Ending Portfolio Value: " + formatCurrency(parseFloat(endingValueInput.value)) + "\n\n"; resultsText += "Calculated Results:\n"; resultsText += "- Period 1 Return: " + period1ReturnSpan.textContent + "\n"; resultsText += "- Period 2 Return: " + period2ReturnSpan.textContent + "\n"; resultsText += "- Overall Portfolio Return: " + overallPortfolioReturnSpan.textContent + "\n"; resultsText += "- Time Weighted Average Return (TWAR): " + timeWeightedAverageReturnSpan.textContent + "\n\n"; resultsText += "Performance Breakdown Table:\n"; resultsText += "Period | Starting Value | Contributions/Withdrawals | Ending Value | Sub-Period Return\n"; resultsText += "——-|—————-|—————————|————–|——————\n"; resultsText += "Period 1 | " + tableStartValue1.textContent + " | " + tableContribution1.textContent + " | " + tableEndValue1.textContent + " | " + tableReturn1.textContent + "\n"; resultsText += "Period 2 | " + tableStartValue2.textContent + " | " + tableContribution2.textContent + " | " + tableEndValue2.textContent + " | " + tableReturn2.textContent + "\n"; resultsText += "Overall | " + tableStartValueOverall.textContent + " | " + tableContributionOverall.textContent + " | " + tableEndValueOverall.textContent + " | " + tableReturnOverall.textContent + "\n"; try { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Could not copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } catch (e) { console.error('Clipboard API not available: ', e); alert('Clipboard API not available. Please copy results manually.'); } } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { calculateTimeWeightedAverage(); // Add event listeners for real-time updates var inputs = document.querySelectorAll('.loan-calc-container input'); inputs.forEach(function(input) { input.addEventListener('input', calculateTimeWeightedAverage); }); // Add event listeners for FAQ toggles var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; } else { answer.style.display = 'block'; } }); }); });

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