Basel Iii Risk Weighted Assets Calculation Example

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Basel III Risk-Weighted Assets (RWA) Calculation Example

Empower your financial institution with precise RWA calculations.

Basel III RWA Calculator

This calculator demonstrates a simplified calculation of Risk-Weighted Assets (RWA) under the Basel III framework. It focuses on the standardized approach for credit risk.

The total value of the asset or exposure.
Sovereign (High Credit Quality) Residential Real Estate (Standard) Corporate (Standard) Subordinated Debt High-Risk Exposures
Assigned percentage based on asset class and credit quality.
Applies to off-balance sheet items (e.g., loan commitments). Use 0 for on-balance sheet items.

Calculation Results

Exposure Value Adjusted for CCF
Assigned Risk Weight
Risk-Weighted Assets (RWA)
Formula Used (Standardized Approach):

RWA = (Exposure Amount * CCF) * Risk Weight

For on-balance sheet items, CCF is typically 100% (or 1.0), so the formula simplifies to: RWA = Exposure Amount * Risk Weight.

RWA Breakdown by Risk Weight Category
Example Data for Chart
Asset Type Exposure Amount Risk Weight (%) CCF (%) RWA

What is Basel III Risk-Weighted Assets (RWA)?

Basel III Risk-Weighted Assets (RWA) represent a crucial metric within the Basel Accords, an international regulatory framework designed to strengthen the regulation, supervision, and risk management of banks. RWA is a calculation that assigns a risk factor to different types of assets held by a bank. The total RWA figure is then used as the denominator in calculating a bank's capital adequacy ratios, such as the Common Equity Tier 1 (CET1) ratio. Essentially, RWA translates the diverse risks on a bank's balance sheet into a common metric, ensuring that banks hold sufficient capital against the specific risks they undertake.

Who should use it? Primarily, regulatory bodies and financial institutions (banks, credit unions, investment firms) are concerned with RWA calculations. Supervisors use RWA to assess a bank's solvency and its ability to withstand financial shocks. Banks themselves use RWA calculations for internal risk management, strategic decision-making, capital planning, and ensuring compliance with regulatory requirements. Investors and analysts also monitor RWA and capital ratios to gauge a bank's financial health and risk profile.

Common misconceptions about Basel III RWA include believing that all assets carry the same risk or that RWA is a direct measure of a bank's total assets. In reality, RWA is a risk-adjusted measure, meaning lower-risk assets contribute less to the RWA total than higher-risk assets, even if their nominal value is the same. Another misconception is that RWA is static; it fluctuates with changes in a bank's asset portfolio, market conditions, and evolving regulatory interpretations. The complexity of RWA calculation, especially under internal ratings-based approaches, also leads to misunderstandings about its precise determination.

Basel III RWA Formula and Mathematical Explanation

The calculation of Basel III Risk-Weighted Assets (RWA) can be complex, with different approaches (Standardized Approach, Internal Ratings-Based Approach). This section focuses on the Standardized Approach for credit risk, which is more straightforward and commonly used for illustrative purposes.

The Core Formula

The fundamental formula for calculating RWA for a specific asset under the Standardized Approach is:

RWA = (Exposure at Default (EAD) * Risk Weight (RW))

Where:

  • Exposure at Default (EAD): This represents the expected amount a bank would lose if a borrower defaults. For on-balance sheet assets (like loans or securities), the EAD is typically the carrying value of the asset. For off-balance sheet items (like loan commitments or guarantees), a Credit Conversion Factor (CCF) is applied to the notional amount to estimate the EAD.
  • Risk Weight (RW): This is a percentage assigned by regulators based on the perceived credit risk of the counterparty or the asset class. Higher risk weights are assigned to assets with a greater probability of default or loss.

Detailed Breakdown

Let's expand on the components:

  • Exposure Amount: The nominal value of the asset or the commitment.
  • Credit Conversion Factor (CCF): A percentage applied to off-balance sheet items to convert their notional value into an EAD. For example, a fully drawn credit line might have a CCF of 100%, while an undrawn commitment might have a lower CCF (e.g., 40% or 50%, depending on the type). For most on-balance sheet assets, the CCF is effectively 100%.
  • EAD Calculation: EAD = Exposure Amount * CCF
  • Risk Weight (RW): This is determined by the asset class and the credit quality of the counterparty. Basel III provides specific risk weights for various categories:
    • Sovereign exposures to OECD countries or entities rated investment grade: 0% or 20%
    • Corporate exposures: Typically 100%
    • Retail exposures: 75%
    • Residential real estate: 35% or 50% (depending on loan-to-value)
    • Subordinated debt: 150%
    • Equity exposures: Can vary significantly (e.g., 100% to 400% or more)
    • High-risk exposures: 250% or more
  • Final RWA Calculation: RWA = EAD * RW

Variables Table

Here's a summary of the key variables used in the Standardized Approach for credit risk:

Basel III RWA Variables (Standardized Approach)
Variable Meaning Unit Typical Range/Examples
Exposure Amount Nominal value of the asset or commitment. Currency (e.g., USD, EUR) 100,000 to 10,000,000+
Credit Conversion Factor (CCF) Factor to convert off-balance sheet notional amounts to EAD. Percentage (%) 0% (fully unfunded commitments), 40%-100% (depending on type), 100% (on-balance sheet assets)
Exposure at Default (EAD) Expected exposure value at the time of default. Currency (e.g., USD, EUR) Calculated: Exposure Amount * CCF
Risk Weight (RW) Regulatory percentage assigned based on credit risk. Percentage (%) 0%, 20%, 50%, 75%, 100%, 150%, 250%+
Risk-Weighted Assets (RWA) Risk-adjusted value of assets, used for capital adequacy. Currency (e.g., USD, EUR) Calculated: EAD * RW

Understanding these components is vital for accurately calculating a bank's capital requirements and assessing its risk profile under Basel III RWA.

Practical Examples (Real-World Use Cases)

Let's illustrate the Basel III RWA calculation with practical examples for a hypothetical bank.

Example 1: Corporate Loan

A bank has a loan outstanding to a medium-sized corporation.

  • Exposure Amount: $5,000,000
  • Asset Type: Standard Corporate Loan (On-Balance Sheet)
  • Credit Conversion Factor (CCF): 100% (since it's an on-balance sheet asset)
  • Risk Weight (RW): 100% (standard for corporate exposures)

Calculation:

  1. EAD = Exposure Amount * CCF = $5,000,000 * 100% = $5,000,000
  2. RWA = EAD * RW = $5,000,000 * 100% = $5,000,000

Interpretation: This $5,000,000 loan contributes $5,000,000 to the bank's total Risk-Weighted Assets. This means the bank must hold regulatory capital against this amount, based on its capital ratios.

Example 2: Undrawn Credit Line

A bank has provided a credit line facility to a client, which is currently undrawn.

  • Exposure Amount (Notional): $1,000,000
  • Asset Type: Undrawn Credit Commitment (Off-Balance Sheet)
  • Credit Conversion Factor (CCF): 50% (typical for credit lines, assuming some drawdown is possible)
  • Risk Weight (RW): 100% (assuming the underlying counterparty is a standard corporation)

Calculation:

  1. EAD = Exposure Amount * CCF = $1,000,000 * 50% = $500,000
  2. RWA = EAD * RW = $500,000 * 100% = $500,000

Interpretation: Even though the client hasn't drawn on the line yet, the bank must hold capital against a portion of it ($500,000 RWA). This reflects the risk that the client might draw down the funds during times of stress, potentially when the bank is least able to lend. This highlights the importance of considering off-balance sheet exposures in RWA calculations.

Example 3: Sovereign Debt

A bank holds government bonds issued by a highly-rated sovereign entity.

  • Exposure Amount: $10,000,000
  • Asset Type: Sovereign Debt (High Credit Quality)
  • Credit Conversion Factor (CCF): 100% (on-balance sheet)
  • Risk Weight (RW): 20% (as per Basel III for high-quality sovereigns)

Calculation:

  1. EAD = Exposure Amount * CCF = $10,000,000 * 100% = $10,000,000
  2. RWA = EAD * RW = $10,000,000 * 20% = $2,000,000

Interpretation: The bank holds $10,000,000 in sovereign bonds, but due to their low risk profile, they only contribute $2,000,000 to the total RWA. This demonstrates how Basel III incentivizes banks to hold safer assets by reducing their capital requirements. This is a key aspect of Basel III RWA.

How to Use This Basel III RWA Calculator

Our Basel III RWA Calculator is designed for simplicity and clarity, helping you understand the core principles of risk-weighted asset calculation using the standardized approach.

Step-by-Step Instructions

  1. Enter Exposure Amount: Input the total nominal value of the asset or financial instrument you wish to assess. This could be a loan principal, the value of securities held, or the notional amount of a commitment.
  2. Select Risk Weight (%): Choose the appropriate risk weight from the dropdown menu. This is based on the asset class (e.g., corporate, sovereign, retail) and the credit quality of the counterparty, as defined by Basel III guidelines. The calculator provides common options; consult regulatory documentation for precise assignments.
  3. Input Credit Conversion Factor (CCF) (%): For on-balance sheet assets like loans, enter '100' as the CCF. For off-balance sheet items (e.g., loan commitments, guarantees), enter the relevant CCF percentage as specified by Basel III rules. If unsure, or for standard loans, 100% is appropriate.
  4. Calculate RWA: Click the "Calculate RWA" button. The calculator will instantly process your inputs.

How to Read Results

  • Adjusted Exposure: This shows the Exposure at Default (EAD), calculated as Exposure Amount multiplied by the CCF. It represents the value considered at risk.
  • Assigned Risk Weight: This confirms the risk weight percentage you selected.
  • Risk-Weighted Assets (RWA): This is the primary output – the final calculated RWA for the specific asset. This figure is a key component of the bank's total RWA, which determines its capital adequacy. A higher RWA means a greater capital requirement.

Decision-Making Guidance

Use the results to:

  • Assess Capital Impact: Understand how different assets contribute to the bank's overall RWA and, consequently, its capital requirements.
  • Compare Asset Risk: See how assets with similar nominal values but different risk weights or CCFs result in vastly different RWA figures. For instance, comparing a corporate loan (100% RW) to a highly-rated sovereign bond (20% RW).
  • Strategic Planning: Inform decisions about portfolio composition, risk appetite, and capital allocation. Holding lower-risk assets generally leads to lower RWA and potentially lower capital costs.
  • Compliance Checks: Verify understanding of the standardized approach calculations. For detailed regulatory filings, always refer to the official Basel III framework and local regulatory interpretations.

This tool is an excellent starting point for grasping the mechanics of Basel III RWA calculations.

Key Factors That Affect Basel III RWA Results

Several factors significantly influence the calculated Risk-Weighted Assets (RWA) under Basel III. Understanding these is crucial for accurate assessment and strategic financial management.

  1. Asset Class and Type: This is the most direct determinant. Different asset classes (loans, securities, derivatives, equities) are assigned different baseline risk weights. For example, cash or central bank reserves might have a 0% risk weight, while standard corporate loans are typically 100%, and certain complex or subordinated instruments can be 150% or higher.
  2. Counterparty Credit Quality: For exposures like loans and bonds, the creditworthiness of the borrower or issuer is paramount. Basel III assigns lower risk weights to exposures to entities with higher credit ratings (e.g., highly-rated sovereigns or corporations) and higher weights to those with lower ratings or unrated. This is fundamental to Basel III RWA.
  3. Maturity and Tenor: While not always a direct input in the simplest standardized approach, longer-term exposures can sometimes be associated with higher risk, potentially influencing risk weights or requiring specific treatments under more advanced models.
  4. Credit Conversion Factors (CCFs): Crucial for off-balance sheet items like loan commitments, guarantees, and derivatives. The CCF determines how much of the notional amount is considered an exposure at default (EAD). A higher CCF directly increases the EAD and thus the RWA. The type of commitment (e.g., unconditionally cancellable vs. non-cancellable) dictates the CCF.
  5. Collateral and Guarantees: The presence and quality of collateral or guarantees can mitigate risk. Under Basel III, eligible collateral (e.g., cash, high-quality securities) and guarantees from creditworthy third parties can reduce the EAD or allow for the application of a lower risk weight to the exposure, thereby lowering the RWA.
  6. Regulatory Approach (Standardized vs. IRB): Banks can use either the Standardized Approach (SA) or the Internal Ratings-Based (IRB) approach (where permitted). The SA uses prescribed risk weights, while the IRB approach allows banks to use their own internal models to estimate risk parameters (Probability of Default, Loss Given Default, EAD), potentially leading to different RWA outcomes. Our calculator uses the SA.
  7. Market Volatility and Systemic Risk: While not directly input into the basic RWA formula, broader market conditions and systemic risk assessments can influence regulatory decisions regarding risk weights or capital buffers. During periods of high stress, regulators might adjust requirements.
  8. Specific Basel III Revisions: Basel III is an evolving framework. Updates like the 'Basel IV' finalization package introduce changes to calculation methodologies, particularly for credit risk, operational risk, and market risk, which will affect RWA outcomes.

These factors interact to determine the final RWA, impacting a bank's capital adequacy and overall financial stability.

Frequently Asked Questions (FAQ)

Q1: What is the main goal of calculating Basel III RWA?

The primary goal is to ensure banks hold adequate capital relative to the risks they undertake. By risk-weighting assets, RWA provides a standardized measure to compare the capital adequacy of different banks, regardless of their specific asset mix. It's a cornerstone of the Basel III framework for financial stability.

Q2: How does RWA differ from total assets?

Total assets represent the sum of everything a bank owns. RWA, however, is a risk-adjusted measure. A $1 million loan to a risky company might have the same RWA as $5 million in highly-rated government bonds, because the loan carries a much higher risk weight. RWA focuses on the *riskiness* of assets, not just their nominal value.

Q3: Can RWA be negative?

No, RWA cannot be negative. Exposure amounts, CCFs, and risk weights are all non-negative values. Therefore, the resulting RWA will always be zero or positive.

Q4: What is the difference between the Standardized Approach and the IRB Approach for RWA?

The Standardized Approach (SA) uses prescribed risk weights and CCFs set by regulators. It's simpler to implement. The Internal Ratings-Based (IRB) Approach allows sophisticated banks to use their own internal models to estimate risk parameters (PD, LGD, EAD), potentially leading to more risk-sensitive RWA calculations, but requiring significant validation and regulatory approval.

Q5: How do off-balance sheet items affect RWA?

Off-balance sheet items (like loan commitments, letters of credit, derivatives) carry risk even if they don't appear directly on the balance sheet. Basel III uses Credit Conversion Factors (CCFs) to estimate the Exposure at Default (EAD) for these items, which are then risk-weighted. This ensures that potential future exposures are also accounted for in capital requirements.

Q6: What happens if a bank's RWA increases?

If a bank's RWA increases (e.g., by taking on riskier assets or increasing lending), its total capital requirement also increases, assuming capital ratios remain constant. The bank must either raise more capital, reduce its risk-weighted assets, or face a potential breach of its minimum capital ratio requirements.

Q7: Are the risk weights in the calculator always accurate?

The risk weights provided in the calculator are typical examples based on the Basel III Standardized Approach. However, specific assignments can depend on detailed criteria, counterparty ratings, jurisdiction, and specific Basel III revisions. Always consult official regulatory documentation for definitive risk weight assignments.

Q8: How often are RWA calculations performed?

Banks typically calculate their RWA and capital ratios on a regular basis, often quarterly, for regulatory reporting. Internally, risk management functions may monitor RWA more frequently to manage risk exposures dynamically.

Related Tools and Internal Resources

© 2023 Your Financial Institution. All rights reserved.

Disclaimer: This calculator provides an illustrative example for educational purposes. It does not constitute financial advice. Consult with qualified professionals for specific financial decisions.

var chartInstance = null; // Global variable to hold chart instance function getElement(id) { return document.getElementById(id); } function validateInput(value, id, min, max, message) { var errorElement = getElement(id + 'Error'); errorElement.innerText = "; errorElement.classList.remove('visible'); if (value === ") { errorElement.innerText = 'This field is required.'; errorElement.classList.add('visible'); return false; } var numValue = parseFloat(value); if (isNaN(numValue)) { errorElement.innerText = 'Please enter a valid number.'; errorElement.classList.add('visible'); return false; } if (min !== undefined && numValue max) { errorElement.innerText = message || `Value must be no more than ${max}.`; errorElement.classList.add('visible'); return false; } return true; } function calculateRWA() { var exposureAmount = getElement('exposureAmount').value; var riskWeight = getElement('riskWeight').value; var creditConversionFactor = getElement('creditConversionFactor').value; var valid = true; valid = validateInput(exposureAmount, 'exposureAmount', 0, Infinity, 'Exposure amount cannot be negative.') && valid; valid = validateInput(creditConversionFactor, 'creditConversionFactor', 0, 100, 'CCF must be between 0% and 100%.') && valid; if (!valid) { // Clear results if validation fails getElement('adjustedExposure').innerText = '–'; getElement('assignedRiskWeight').innerText = '–'; getElement('riskWeightedAssets').innerText = '–'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } getElement('chart-container').style.display = 'none'; return; } var numExposureAmount = parseFloat(exposureAmount); var numRiskWeight = parseFloat(riskWeight); var numCCF = parseFloat(creditConversionFactor); var adjustedExposure = numExposureAmount * (numCCF / 100); var riskWeightedAssets = adjustedExposure * (numRiskWeight / 100); getElement('adjustedExposure').innerText = formatCurrency(adjustedExposure); getElement('assignedRiskWeight').innerText = numRiskWeight + '%'; getElement('riskWeightedAssets').innerText = formatCurrency(riskWeightedAssets); updateChart([ { name: "Corporate Loan", exposure: 5000000, rw: 100, ccf: 100, rwa: 5000000 }, { name: "Undrawn Credit Line", exposure: 1000000, rw: 100, ccf: 50, rwa: 500000 }, { name: "Sovereign Debt", exposure: 10000000, rw: 20, ccf: 100, rwa: 2000000 }, { name: "Current Calculation", exposure: numExposureAmount, rw: numRiskWeight, ccf: numCCF, rwa: riskWeightedAssets } ]); } function formatCurrency(amount) { if (isNaN(amount) || amount === null) return '–'; return amount.toLocaleString('en-US', { style: 'currency', currency: 'USD', minimumFractionDigits: 0, maximumFractionDigits: 0 }); } function resetCalculator() { getElement('exposureAmount').value = '1000000'; getElement('riskWeight').value = '100'; // Default to Corporate getElement('creditConversionFactor').value = '0'; // Clear errors getElement('exposureAmountError').innerText = "; getElement('exposureAmountError').classList.remove('visible'); getElement('creditConversionFactorError').innerText = "; getElement('creditConversionFactorError').classList.remove('visible'); calculateRWA(); // Recalculate with default values } function copyResults() { var adjustedExposure = getElement('adjustedExposure').innerText; var assignedRiskWeight = getElement('assignedRiskWeight').innerText; var riskWeightedAssets = getElement('riskWeightedAssets').innerText; var exposureAmount = getElement('exposureAmount').value; var riskWeight = getElement('riskWeight').value; var ccf = getElement('creditConversionFactor').value; var resultText = "Basel III RWA Calculation Results:\n\n"; resultText += "— Inputs —\n"; resultText += "Exposure Amount: " + formatCurrency(parseFloat(exposureAmount)) + "\n"; resultText += "Risk Weight: " + riskWeight + "%\n"; resultText += "CCF: " + ccf + "%\n\n"; resultText += "— Outputs —\n"; resultText += "Adjusted Exposure (EAD): " + adjustedExposure + "\n"; resultText += "Assigned Risk Weight: " + assignedRiskWeight + "\n"; resultText += "Risk-Weighted Assets (RWA): " + riskWeightedAssets + "\n\n"; resultText += "Formula: RWA = (Exposure Amount * CCF) * Risk Weight"; navigator.clipboard.writeText(resultText).then(function() { // Optional: Show a confirmation message var btnCopy = getElement('copyResultsButton'); // Assuming you add an ID to the copy button if (!btnCopy) { // Fallback if ID is missing btnCopy = document.querySelector('.btn-copy'); } var originalText = btnCopy.innerText; btnCopy.innerText = 'Copied!'; setTimeout(function() { btnCopy.innerText = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } function updateChart(data) { var ctx = getElement('rwaChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for the chart var labels = data.map(item => item.name); var rwaValues = data.map(item => item.rwa); var exposureValues = data.map(item => item.exposure * (item.ccf / 100)); // Adjusted Exposure // Populate table var tableBody = getElement('chartDataTable'); tableBody.innerHTML = "; // Clear existing rows data.forEach(item => { var row = tableBody.insertRow(); row.insertCell(0).innerText = item.name; row.insertCell(1).innerText = formatCurrency(item.exposure); row.insertCell(2).innerText = item.rw + '%'; row.insertCell(3).innerText = item.ccf + '%'; row.insertCell(4).innerText = formatCurrency(item.rwa); }); chartInstance = new Chart(ctx, { type: 'bar', data: { labels: labels, datasets: [{ label: 'Risk-Weighted Assets (RWA)', data: rwaValues, backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: 'Adjusted Exposure (EAD)', data: exposureValues, backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, ticks: { callback: function(value) { return formatCurrency(value); } } } }, plugins: { 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; } } } } } }); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Set defaults and calculate // Add ID to copy button for easier access in copyResults function var copyButton = document.querySelector('.btn-copy'); if (copyButton) { copyButton.id = 'copyResultsButton'; } }); // Basic Chart.js integration (ensure Chart.js library is included if not using pure JS/SVG) // For this example, we assume Chart.js is available globally. // If not, you'd need to include it via CDN or local file. // Example CDN: // Since the prompt requires NO external libraries, this part needs to be pure SVG or Canvas API. // Let's switch to Canvas API for dynamic updates without external libs. // Re-implementing chart logic using Canvas API directly if Chart.js is not allowed. // NOTE: The prompt explicitly forbids external libraries. Chart.js is an external library. // Therefore, the chart implementation below uses pure Canvas API. function updateChart(sampleData) { var canvas = getElement('rwaChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous drawing var chartWidth = canvas.width; var chartHeight = canvas.height; var barPadding = 5; var labelHeight = 20; // Space for labels // Sample data for chart (using example data from article) var chartData = [ { name: "Corporate Loan", rwa: 5000000, ead: 5000000 }, { name: "Undrawn Credit Line", rwa: 500000, ead: 500000 }, { name: "Sovereign Debt", rwa: 2000000, ead: 10000000 }, { name: "Current Calc", rwa: parseFloat(getElement('riskWeightedAssets').innerText.replace(/[^0-9.-]+/g,"")), ead: parseFloat(getElement('adjustedExposure').innerText.replace(/[^0-9.-]+/g,"")) } ].filter(item => !isNaN(item.rwa) && !isNaN(item.ead)); // Filter out invalid data if (chartData.length === 0) return; var maxRwa = Math.max(…chartData.map(d => d.rwa)); var maxEad = Math.max(…chartData.map(d => d.ead)); var maxValue = Math.max(maxRwa, maxEad); var barWidth = (chartWidth – (chartData.length + 1) * barPadding) / chartData.length; var scaleY = (chartHeight – labelHeight) / maxValue; // Draw bars chartData.forEach((item, index) => { var rwaHeight = item.rwa * scaleY; var eadHeight = item.ead * scaleY; var x = barPadding + index * (barWidth + barPadding); // Draw EAD bar (Success color) ctx.fillStyle = 'rgba(40, 167, 69, 0.6)'; ctx.fillRect(x, chartHeight – labelHeight – eadHeight, barWidth, eadHeight); // Draw RWA bar (Primary color) ctx.fillStyle = 'rgba(0, 74, 153, 0.6)'; ctx.fillRect(x, chartHeight – labelHeight – rwaHeight, barWidth, rwaHeight); // Draw labels ctx.fillStyle = '#333′; ctx.font = '12px Arial'; ctx.textAlign = 'center'; ctx.fillText(item.name, x + barWidth / 2, chartHeight – 5); // Add tooltips (basic implementation) canvas.onmousemove = function(event) { var rect = canvas.getBoundingClientRect(); var mouseX = event.clientX – rect.left; var mouseY = event.clientY – rect.top; chartData.forEach((dataItem, idx) => { var barX = barPadding + idx * (barWidth + barPadding); var rwaBarTop = chartHeight – labelHeight – (dataItem.rwa * scaleY); var eadBarTop = chartHeight – labelHeight – (dataItem.ead * scaleY); // Check if mouse is over RWA bar area if (mouseX > barX && mouseX rwaBarTop && mouseY barX && mouseX eadBarTop && mouseY { var row = tableBody.insertRow(); row.insertCell(0).innerText = item.name; row.insertCell(1).innerText = formatCurrency(item.exposure); row.insertCell(2).innerText = item.rw + '%'; row.insertCell(3).innerText = item.ccf + '%'; row.insertCell(4).innerText = formatCurrency(item.rwa); }); }

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