Calculation of Risk Weighted Assets Formula

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Risk-Weighted Assets (RWA) Formula Calculator

Accurately calculate your bank's Risk-Weighted Assets (RWA) and understand regulatory capital requirements.

Asset Input

Enter the total book value of all assets held by the institution.
Average risk weight assigned to credit exposures (e.g., 0.50 for low-risk, 1.50 for high-risk). Basel III assigns specific weights.
Additional risk weight for market risk exposures, expressed as a percentage of asset value (e.g., 0.05 for 5%).
Additional risk weight for operational risk, expressed as a percentage of asset value (e.g., 0.10 for 10%).

Calculation Results

Credit Risk-Weighted Assets
Market Risk-Weighted Assets
Operational Risk-Weighted Assets
Total Risk Exposure Value
Formula Used:
RWA = (Total Assets * Credit Risk Weight) + (Total Assets * Market Risk Add-on) + (Total Assets * Operational Risk Add-on)

This simplifies to: RWA = Total Assets * (1 + Credit Risk Weight + Market Risk Add-on + Operational Risk Add-on)
*Note: For a more precise calculation under Basel frameworks, specific asset classes have different weights and market/operational risk are calculated more complexly. This calculator provides a simplified model.*
Breakdown of Risk-Weighted Assets by Risk Type
Credit Risk
Market Risk Add-on
Operational Risk Add-on
Risk Weighting Factors
Asset Category Example Risk Weight (Decimal) Example Risk Add-on (Decimal)
Cash & Central Bank Reserves 0.00 0.00
Sovereign Debt (High Rated) 0.20 0.00
Corporate Loans (Unsecured) 0.75 – 1.00 0.00
Residential Mortgages (High LTV) 0.50 – 0.75 0.00
Equities (Trading Book) 0.00 (for RWA calc) 0.15 – 0.25
Derivatives Variable (Specific Rules) Variable (Specific Rules)

Understanding and Calculating Risk-Weighted Assets (RWA)

The calculation of risk weighted assets formula is a cornerstone of modern banking regulation. It ensures that financial institutions hold sufficient capital reserves against the risks they undertake. By assigning weights to different asset classes based on their perceived riskiness, regulators can create a standardized measure of a bank's exposure and, consequently, its capital adequacy. This system, primarily driven by the Basel Accords, aims to foster financial stability by preventing excessive leverage and minimizing the likelihood of systemic crises.

What is Risk-Weighted Assets (RWA)?

Risk-Weighted Assets (RWA) represent a bank's total assets adjusted by their respective risk weights. It's a metric used by banking regulators, like those under the Basel Committee on Banking Supervision, to determine the minimum amount of capital a bank must hold to absorb unexpected losses. Assets deemed riskier (e.g., unsecured loans, certain complex derivatives) are assigned higher risk weights, while safer assets (e.g., cash, government bonds of stable economies) receive lower weights. The final RWA figure is crucial because a bank's capital ratios (like the Common Equity Tier 1 ratio) are calculated as a percentage of its RWA, not its total assets.

Who Should Use It?

Primarily, banks and other credit institutions subject to regulatory capital requirements use the calculation of risk weighted assets formula. This includes commercial banks, investment banks, credit unions, and other financial intermediaries. Beyond institutions themselves, regulators, financial analysts, investors, and economists use RWA calculations to assess a bank's financial health, risk profile, and compliance with prudential standards. Understanding RWA is also beneficial for anyone interested in the mechanics of financial regulation and systemic risk management.

Common Misconceptions

  • RWA is the same as Total Assets: This is incorrect. RWA adjusts total assets for risk, making it a more accurate reflection of a bank's true risk exposure. A bank with high total assets but predominantly low-risk assets might have a lower RWA than a smaller bank with a portfolio of high-risk loans.
  • All assets are weighted equally: Far from it. The core principle of RWA is differential weighting based on credit, market, and operational risks.
  • RWA calculation is simple multiplication: While the basic concept involves multiplication, the actual determination of risk weights for various asset classes under Basel frameworks can be highly complex, involving credit ratings, collateral, maturity, and specific methodologies (standardized vs. internal ratings-based approaches). Our calculator uses a simplified model.

Risk-Weighted Assets (RWA) Formula and Mathematical Explanation

The fundamental principle behind the calculation of risk weighted assets formula involves assessing the riskiness of each asset and multiplying its book value by a corresponding risk weight. This is then summed up across all assets to arrive at the total RWA.

Step-by-Step Derivation

For a simplified view, consider an asset's RWA calculation:

  1. Identify the Asset: Determine the specific asset or portfolio of assets.
  2. Determine Risk Categories: Classify the asset into primary risk categories: Credit Risk, Market Risk, and Operational Risk.
  3. Assign Risk Weights/Add-ons:
    • Credit Risk: Assign a credit risk weight (CRW) based on the counterparty, collateral, and maturity. This is often derived from external credit ratings or internal models. (e.g., 0.20 for a AAA-rated sovereign bond, 1.00 for an unsecured corporate loan).
    • Market Risk Add-on: For assets exposed to market volatility (like trading book instruments), an additional percentage (MR) is applied. This reflects potential losses from adverse market movements.
    • Operational Risk Add-on: A general add-on (OR) is applied to account for risks arising from inadequate internal processes, people, systems, or external events.
  4. Calculate Weighted Value: For each risk category, multiply the asset's book value (BV) by its assigned weight or add-on.
    • Credit RWA = BV * CRW
    • Market RWA = BV * MR
    • Operational RWA = BV * OR
  5. Sum Across All Assets: Sum the weighted values for all assets to get the bank's total RWA.
    Total RWA = Σ (BVi * CRWi) + Σ (BVj * MRj) + Σ (BVk * ORk)

Our calculator simplifies this by using an average credit risk weight and average add-ons for market and operational risks across all total assets. The formula implemented is:

RWA = Total Assets * (1 + Average Credit Risk Weight + Average Market Risk Add-on + Average Operational Risk Add-on)

Or, more granularly:

Total RWA = (Total Assets * Avg Credit Risk Weight) + (Total Assets * Avg Market Risk Add-on) + (Total Assets * Avg Operational Risk Add-on)

Variable Explanations

Risk-Weighted Assets Variables
Variable Meaning Unit Typical Range (Illustrative)
Total Assets (TA) The sum of all assets on a bank's balance sheet. Currency Unit (e.g., USD, EUR) Varies greatly (Millions to Trillions)
Credit Risk Weight (CRW) Factor representing the likelihood of default and loss given default for credit exposures. Decimal (Ratio) 0.00 (e.g., cash) to 1.25+ (e.g., subprime retail)
Market Risk Add-on (MR) Percentage adjustment for potential losses due to market price fluctuations (interest rates, FX, equities, commodities). Decimal (Ratio) 0.00 to 0.50+
Operational Risk Add-on (OR) Percentage adjustment for losses from failed internal processes, people, systems, or external events. Decimal (Ratio) 0.00 to 0.30+
Risk-Weighted Assets (RWA) Total assets adjusted for credit, market, and operational risks. Basis for capital ratios. Currency Unit (e.g., USD, EUR) Typically less than Total Assets
Credit RWAs RWA attributed solely to credit risk exposures. Currency Unit (e.g., USD, EUR) Varies
Market RWAs RWA attributed solely to market risk exposures. Currency Unit (e.g., USD, EUR) Varies
Operational RWAs RWA attributed solely to operational risk exposures. Currency Unit (e.g., USD, EUR) Varies
Total Risk Exposure Value The effective total exposure after applying all risk adjustments. Currency Unit (e.g., USD, EUR) Varies

Practical Examples (Real-World Use Cases)

Let's illustrate the calculation of risk weighted assets formula with practical scenarios:

Example 1: A Stable Regional Bank

A regional bank has Total Assets of $5,000,000,000. Its loan portfolio is predominantly high-quality corporate and residential mortgages, with a strong sovereign debt holding. Regulators assess its average Credit Risk Weight at 0.45. Due to its conservative investment strategy, its Market Risk Add-on is low at 0.02, and its Operational Risk Add-on is estimated at 0.08.

  • Inputs:
    • Total Assets: $5,000,000,000
    • Credit Risk Weight: 0.45
    • Market Risk Add-on: 0.02
    • Operational Risk Add-on: 0.08
  • Calculation:
    • Credit RWAs = $5,000,000,000 * 0.45 = $2,250,000,000
    • Market RWAs = $5,000,000,000 * 0.02 = $100,000,000
    • Operational RWAs = $5,000,000,000 * 0.08 = $400,000,000
    • Total RWA = $2,250,000,000 + $100,000,000 + $400,000,000 = $2,750,000,000
    • Total Risk Exposure Value = Total Assets * (1 + Avg CRW + Avg MR + Avg OR) = $5,000,000,000 * (1 + 0.45 + 0.02 + 0.08) = $5,000,000,000 * 1.55 = $7,750,000,000
  • Interpretation: The bank's RWA is $2.75 billion. If its Common Equity Tier 1 (CET1) capital is $300,000,000, its CET1 ratio would be ($300M / $2,750M) * 100% = 10.91%. This is likely well above the minimum regulatory requirement (e.g., 4.5% plus buffers).

Example 2: A Specialized Investment Firm

An investment firm holds Total Assets of $1,000,000,000. Its portfolio includes a significant portion of unsecured corporate loans (average CRW 0.90), some volatile equities (market risk add-on 0.15), and faces higher operational risks due to complex trading systems (operational risk add-on 0.20).

  • Inputs:
    • Total Assets: $1,000,000,000
    • Credit Risk Weight: 0.90
    • Market Risk Add-on: 0.15
    • Operational Risk Add-on: 0.20
  • Calculation:
    • Credit RWAs = $1,000,000,000 * 0.90 = $900,000,000
    • Market RWAs = $1,000,000,000 * 0.15 = $150,000,000
    • Operational RWAs = $1,000,000,000 * 0.20 = $200,000,000
    • Total RWA = $900,000,000 + $150,000,000 + $200,000,000 = $1,250,000,000
    • Total Risk Exposure Value = Total Assets * (1 + Avg CRW + Avg MR + Avg OR) = $1,000,000,000 * (1 + 0.90 + 0.15 + 0.20) = $1,000,000,000 * 2.25 = $2,250,000,000
  • Interpretation: The RWA is $1.25 billion. This is higher than the total assets, reflecting the significant risk in the portfolio. If this firm had $150,000,000 in CET1 capital, its ratio would be ($150M / $1,250M) * 100% = 12%. While seemingly healthy, the higher RWA indicates a need for robust risk management and potentially higher capital buffers compared to less risky institutions.

How to Use This Risk-Weighted Assets Calculator

Our simplified calculation of risk weighted assets formula calculator is designed for ease of use. Follow these steps:

  1. Input Total Assets: Enter the total book value of all assets your institution holds in the "Total Assets" field.
  2. Enter Risk Weights:
    • In "Credit Risk Weight," input the average risk weight (as a decimal) assigned to your credit exposures. This is a critical factor.
    • In "Market Risk Add-on," enter the average percentage (as a decimal) representing your exposure to market fluctuations.
    • In "Operational Risk Add-on," input the average percentage (as a decimal) for operational risks.
    Consult your institution's risk management department or relevant regulatory guidelines for accurate weightings.
  3. View Results: As you input the figures, the calculator will automatically update the results below.

How to Read Results

  • Primary Result (Total RWA): This is the main output, representing your institution's total risk-adjusted assets. It's the denominator for regulatory capital ratios.
  • Intermediate Values: These show the breakdown of RWA by credit, market, and operational risk, providing insight into where the risk is concentrated. The "Total Risk Exposure Value" indicates the sum of assets and risk add-ons.
  • Chart: The bar chart visually breaks down the RWA contribution from each risk type.
  • Table: Provides context on typical risk weights for different asset categories, helping you understand the inputs.

Decision-Making Guidance

The RWA calculation directly impacts capital requirements. A higher RWA necessitates a larger capital buffer to maintain regulatory ratios. If your RWA seems high, consider strategies to:

  • Reduce exposure to high-risk assets.
  • Improve risk management practices to lower operational and market risk add-ons.
  • Seek regulatory guidance on specific asset weighting methodologies.
  • Strengthen the capital base (e.g., through retained earnings or equity issuance).

Use this calculator as a preliminary tool to understand the implications of your asset mix and risk profile on your regulatory capital position. For precise compliance, always refer to official Basel framework documentation and consult with regulatory experts.

Key Factors That Affect Risk-Weighted Assets Results

Several interconnected factors influence the outcome of the calculation of risk weighted assets formula:

  1. Asset Classification and Quality: The most significant driver. High-quality, liquid assets like government bonds receive low weights (0-0.20), while riskier assets like unsecured consumer loans or high-risk corporate debt attract much higher weights (0.75-1.25 or more). Accurate classification is paramount.
  2. Counterparty Creditworthiness: For loans and derivatives, the credit rating of the counterparty is crucial. A loan to a highly-rated corporation will have a lower risk weight than one to a speculative-grade company.
  3. Collateral and Guarantees: Secured lending typically attracts lower risk weights than unsecured lending. The type and quality of collateral (e.g., real estate, financial instruments) significantly reduce the effective risk weight.
  4. Maturity of Assets: Longer-term assets are often considered riskier, especially in environments with interest rate volatility, and may attract slightly higher risk weights in certain regulatory approaches.
  5. Market Volatility: For assets held in the trading book or derivatives, the inherent volatility of their underlying market (e.g., equities, commodities, foreign exchange rates) directly impacts the market risk add-on and thus RWA.
  6. Regulatory Approach (Standardized vs. IRB): Banks can often choose between the standardized approach (using prescribed supervisory weights) or the Internal Ratings-Based (IRB) approach (using their own internal models, subject to supervisory approval). IRB approaches can lead to lower RWAs if models accurately reflect risk, but require significant investment in data and modeling capabilities.
  7. Operational Risk Management Effectiveness: Robust internal controls, IT systems, and compliance frameworks help mitigate operational risk. Weaknesses can lead to higher operational risk add-ons or unexpected losses impacting capital.
  8. Economic Conditions: During economic downturns, credit risk tends to increase (higher default rates, lower collateral values), potentially leading to higher RWAs and increased capital requirements precisely when capital is most needed.

Frequently Asked Questions (FAQ)

What is the difference between Total Assets and Risk-Weighted Assets (RWA)?

Total Assets is the sum of everything a bank owns on its balance sheet at book value. Risk-Weighted Assets (RWA) adjusts this figure by applying risk factors to each asset. RWA is a more accurate measure of a bank's risk exposure and is used as the denominator for calculating capital adequacy ratios.

How do Basel III requirements affect RWA calculations?

Basel III introduced significant changes, including higher capital requirements, enhanced risk sensitivity, and new definitions for capital. It introduced capital conservation buffers and countercyclical buffers, and refined the calculation of credit risk, market risk, and operational risk, often leading to higher RWAs compared to previous frameworks.

Can RWA be lower than Total Assets?

Yes, RWA can be lower than Total Assets if the majority of a bank's assets are considered very low risk (e.g., cash, short-term government securities with a 0% risk weight). However, for most banks with significant lending and investment activities, RWA will be a substantial fraction, often exceeding total assets when considering market and operational risks in a simplified manner.

What is the role of the standardized approach versus internal ratings-based (IRB) approach?

The standardized approach uses risk weights prescribed by regulators, based on asset type and external credit ratings. The Internal Ratings-Based (IRB) approach allows qualifying banks to use their own internal models to estimate risk parameters (like Probability of Default, Loss Given Default), which can result in more risk-sensitive RWA calculations, potentially leading to lower capital requirements if risks are genuinely lower.

How are off-balance sheet items treated in RWA calculations?

Off-balance sheet items (like loan commitments, guarantees, and derivative contracts) can carry significant risk. They are converted into credit exposure equivalents using credit conversion factors (CCFs) and then assigned risk weights, contributing to the overall RWA.

Does the calculation of risk weighted assets formula account for liquidity risk?

Directly, no. RWA primarily addresses credit, market, and operational risks. Liquidity risk (the risk of not having enough cash to meet short-term obligations) is managed through separate liquidity ratios and frameworks (like the Liquidity Coverage Ratio – LCR and Net Stable Funding Ratio – NSFR under Basel III), not typically through RWA.

What are the implications of a high RWA for a bank's profitability?

A higher RWA typically means a bank needs to hold more capital. If that capital is equity, which is expensive, it can reduce the bank's Return on Equity (ROE). Therefore, banks aim to manage their RWA efficiently while maintaining regulatory compliance and financial stability.

Can I use this calculator for all types of financial institutions?

This calculator provides a simplified model based on general principles. While useful for understanding the core concept of the calculation of risk weighted assets formula, actual RWA calculations for specific institutions (e.g., insurance companies, asset managers) or under different regulatory regimes may involve more complex methodologies and specific rules not fully captured here. Always consult official regulatory guidelines.

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var totalAssetsInput = document.getElementById('totalAssets'); var creditRiskWeightInput = document.getElementById('creditRiskWeight'); var marketRiskAddOnInput = document.getElementById('marketRiskAddOn'); var operationalRiskAddOnInput = document.getElementById('operationalRiskAddOn'); var totalAssetsError = document.getElementById('totalAssetsError'); var creditRiskWeightError = document.getElementById('creditRiskWeightError'); var marketRiskAddOnError = document.getElementById('marketRiskAddOnError'); var operationalRiskAddOnError = document.getElementById('operationalRiskAddOnError'); var resultsDiv = document.getElementById('results'); var primaryResultDiv = document.getElementById('primaryResult'); var creditRWASpan = document.getElementById('creditRWAS'); var marketRWASpan = document.getElementById('marketRWAS'); var operationalRWASpan = document.getElementById('operationalRWAS'); var totalExposureSpan = document.getElementById('totalExposure'); var rwaChart; var chartCanvas = document.getElementById('rwaChart').getContext('2d'); function validateInput(input, errorElement, fieldName, minValue = null, maxValue = null) { var value = input.value.trim(); var error = "; var numberValue = parseFloat(value); if (value === ") { error = fieldName + ' is required.'; } else if (isNaN(numberValue)) { error = fieldName + ' must be a valid number.'; } else { if (minValue !== null && numberValue maxValue) { error = fieldName + ' cannot be greater than ' + maxValue + '.'; } } errorElement.textContent = error; return error === "; } function calculateRWA() { var isValid = true; isValid &= validateInput(totalAssetsInput, totalAssetsError, 'Total Assets'); isValid &= validateInput(creditRiskWeightInput, creditRiskWeightError, 'Credit Risk Weight', 0, 1.5); isValid &= validateInput(marketRiskAddOnInput, marketRiskAddOnError, 'Market Risk Add-on', 0, 0.5); isValid &= validateInput(operationalRiskAddOnInput, operationalRiskAddOnError, 'Operational Risk Add-on', 0, 0.3); if (!isValid) { resultsDiv.style.display = 'none'; return; } var totalAssets = parseFloat(totalAssetsInput.value); var creditRiskWeight = parseFloat(creditRiskWeightInput.value); var marketRiskAddOn = parseFloat(marketRiskAddOnInput.value); var operationalRiskAddOn = parseFloat(operationalRiskAddOnInput.value); var creditRWAs = totalAssets * creditRiskWeight; var marketRWAs = totalAssets * marketRiskAddOn; var operationalRWAs = totalAssets * operationalRiskAddOn; var totalRWA = creditRWAs + marketRWAs + operationalRWAs; var totalRiskExposureValue = totalAssets * (1 + creditRiskWeight + marketRiskAddOn + operationalRiskAddOn); primaryResultDiv.textContent = formatCurrency(totalRWA); creditRWASpan.textContent = formatCurrency(creditRWAs); marketRWASpan.textContent = formatCurrency(marketRWAs); operationalRWASpan.textContent = formatCurrency(operationalRWAs); totalExposureSpan.textContent = formatCurrency(totalRiskExposureValue); resultsDiv.style.display = 'block'; updateChart(creditRWAs, marketRWAs, operationalRWAs); } function formatCurrency(amount) { if (isNaN(amount)) return '$0.00'; return '$' + amount.toFixed(2).replace(/\B(?=(\d{3})+(?!\d))/g, ","); } function resetCalculator() { totalAssetsInput.value = '100000000'; // Example default creditRiskWeightInput.value = '0.50'; // Example default marketRiskAddOnInput.value = '0.05'; // Example default operationalRiskAddOnInput.value = '0.10'; // Example default totalAssetsError.textContent = "; creditRiskWeightError.textContent = "; marketRiskAddOnError.textContent = "; operationalRiskAddOnError.textContent = "; resultsDiv.style.display = 'none'; if (rwaChart) { rwaChart.destroy(); } } function copyResults() { var textToCopy = "Risk-Weighted Assets (RWA) Calculation:\n\n"; textToCopy += "— Inputs —\n"; textToCopy += "Total Assets: " + formatCurrency(parseFloat(totalAssetsInput.value)) + "\n"; textToCopy += "Credit Risk Weight: " + parseFloat(creditRiskWeightInput.value).toFixed(2) + "\n"; textToCopy += "Market Risk Add-on: " + parseFloat(marketRiskAddOnInput.value).toFixed(2) + "\n"; textToCopy += "Operational Risk Add-on: " + parseFloat(operationalRiskAddOnInput.value).toFixed(2) + "\n\n"; textToCopy += "— Results —\n"; textToCopy += "Total RWA: " + primaryResultDiv.textContent + "\n"; textToCopy += "Credit Risk-Weighted Assets: " + creditRWASpan.textContent + "\n"; textToCopy += "Market Risk-Weighted Assets: " + marketRWASpan.textContent + "\n"; textToCopy += "Operational Risk-Weighted Assets: " + operationalRWASpan.textContent + "\n"; textToCopy += "Total Risk Exposure Value: " + totalExposureSpan.textContent + "\n"; var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; textArea.style.opacity = 0; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copy failed.'; console.log(msg); // Optional: display a temporary message to the user var tempMessage = document.createElement('div'); tempMessage.textContent = msg; tempMessage.style.position = 'fixed'; tempMessage.style.bottom = '20px'; tempMessage.style.left = '50%'; tempMessage.style.transform = 'translateX(-50%)'; tempMessage.style.backgroundColor = msg.includes('copied') ? 'var(–success-color)' : 'var(–error-color)'; tempMessage.style.color = 'white'; tempMessage.style.padding = '10px 20px'; tempMessage.style.borderRadius = '5px'; tempMessage.style.zIndex = '1000'; document.body.appendChild(tempMessage); setTimeout(function() { document.body.removeChild(tempMessage); }, 3000); } catch (err) { console.log('Fallback: Oops, unable to copy'); } document.body.removeChild(textArea); } function updateChart(credit, market, operational) { if (rwaChart) { rwaChart.destroy(); } rwaChart = new Chart(chartCanvas, { type: 'bar', data: { labels: ['Credit Risk', 'Market Risk', 'Operational Risk'], datasets: [{ label: 'RWA Contribution', data: [credit, market, operational], backgroundColor: [ 'rgba(0, 74, 153, 0.7)', // Primary Color 'rgba(40, 167, 69, 0.7)', // Success Color 'rgba(255, 193, 7, 0.7)' // Warning Color (for Operational) ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(255, 193, 7, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, ticks: { callback: function(value) { return formatCurrency(value); } } } }, plugins: { legend: { display: false // Legend is handled by custom div }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += formatCurrency(context.parsed.y); } return label; } } } } } }); } // Add event listeners to inputs for real-time calculation var inputs = document.querySelectorAll('.loan-calc-container input[type="number"], .loan-calc-container select'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculateRWA); inputs[i].addEventListener('change', calculateRWA); // For select elements } // Initialize calculator on load with default values resetCalculator(); calculateRWA(); // Perform initial calculation after resetting defaults // FAQ toggle functionality var faqQuestions = document.querySelectorAll('.faq-question'); for (var i = 0; i < faqQuestions.length; i++) { faqQuestions[i].addEventListener('click', function() { this.classList.toggle('active'); var faqAnswer = this.nextElementSibling; if (this.classList.contains('active')) { faqAnswer.style.maxHeight = faqAnswer.scrollHeight + "px"; } else { faqAnswer.style.maxHeight = null; } }); } // Simple Chart.js integration (ensure Chart.js library is available if this were a real page) // For this self-contained HTML, we simulate it with the structure, but actual rendering needs the library. // In a real WordPress environment, you'd enqueue the library. // For this demo, we assume a global Chart object exists or mock it. if (typeof Chart === 'undefined') { window.Chart = function() { this.destroy = function() { console.log('Chart destroyed (mocked)'); }; console.log('Chart.js not loaded, chart functionality is mocked.'); }; window.Chart.prototype.Bar = function() {}; // Mock constructor } // Call updateChart immediately to potentially draw a placeholder or handle no-library scenario gracefully updateChart(0,0,0); // Initial call to ensure canvas element is targeted

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