Financial Risk Event Prediction Model

Financial Risk Event Prediction Model

Analyze macroeconomic indicators to predict the probability of a market risk event.

Risk Event Probability

Risk Factor Contributions

${kpi.label}

${kpi.value}

`).join(''); }; const renderCharts = (metrics) => { const chartContexts = { gauge: document.getElementById('risk-gauge-chart').getContext('2d'), contribution: document.getElementById('contribution-chart').getContext('2d'), }; Object.values(charts).forEach(chart => chart.destroy()); const riskColor = metrics.riskLevel === 'Low' ? '#16a34a' : metrics.riskLevel === 'Elevated' ? '#facc15' : metrics.riskLevel === 'High' ? '#f97316' : '#dc2626'; charts.gauge = new Chart(chartContexts.gauge, { type: 'doughnut', data: { datasets: [{ data: [metrics.probability, 100 - metrics.probability], backgroundColor: [riskColor, '#e5e7eb'], borderWidth: 0, }] }, options: { rotation: -90, circumference: 180, cutout: '70%', plugins: { tooltip: { enabled: false } } } }); document.getElementById('risk-gauge-label').textContent = `${metrics.probability.toFixed(1)}%`; document.getElementById('risk-gauge-label').className = `text-4xl font-bold mt-[-50px] ${`risk-${metrics.riskLevel.split(' ')[0].toLowerCase()}`}`; charts.contribution = new Chart(chartContexts.contribution, { type: 'bar', data: { labels: metrics.factorScores.map(f => f.label), datasets: [{ label: 'Contribution to Risk Score', data: metrics.factorScores.map(f => f.contribution), backgroundColor: '#4f46e5', }] }, options: { indexAxis: 'y', scales: { x: { beginAtZero: true, title: { display: true, text: 'Weighted Risk Points'} } }, plugins: { legend: { display: false } } } }); }; const renderAnalysis = (metrics) => { const container = document.getElementById('analysis-output'); let outlook; if (metrics.riskLevel === 'Low') { outlook = `The model predicts a low probability of a significant financial risk event in the next 12 months. Macroeconomic indicators appear stable. The ${metrics.keyFactor.toLowerCase()} is the largest, yet still minor, contributor to the overall risk score. Continued monitoring is advised, but immediate systemic risks appear contained.`; } else if (metrics.riskLevel === 'Elevated') { outlook = `The model indicates an elevated risk of a financial event. While not a certainty, conditions are showing signs of stress. The primary driver is the ${metrics.keyFactor.toLowerCase()}. This suggests a heightened chance of market volatility or a minor economic downturn. Increased caution and portfolio review are recommended.`; } else if (metrics.riskLevel === 'High') { outlook = `The model predicts a high probability of a financial risk event. Multiple indicators are flashing warning signs, with the ${metrics.keyFactor.toLowerCase()} being the most significant concern. This scenario aligns with conditions that have historically preceded recessions or major market corrections. Defensive positioning and risk mitigation strategies should be strongly considered.`; } else { // Severe outlook = `The model predicts a severe and imminent risk of a major financial event. A confluence of negative indicators, led by the ${metrics.keyFactor.toLowerCase()}, points towards significant systemic instability. The probability is high for a recession, a market crash, or a credit event. Maximum caution and capital preservation strategies are paramount.`; } container.innerHTML = `

Risk Prediction Analysis

Predicted Outlook: ${metrics.riskLevel} Risk

${outlook}

Factor Breakdown

The total risk score of ${metrics.totalScore.toFixed(0)} out of 100 was calculated based on the following weighted contributions:

    ${metrics.factorScores.map(f => `
  • ${f.label}: Contributed ${f.contribution.toFixed(1)} points to the total score.
  • `).join('')}
`; }; // CALCULATION LOGIC const predictRisk = () => { const inputs = { vix: parseFloat(document.getElementById('vix').value), yieldCurve: parseFloat(document.getElementById('yield-curve').value), corpDebt: parseFloat(document.getElementById('corp-debt').value), unemploymentGrowth: parseFloat(document.getElementById('unemployment-growth').value), inflation: parseFloat(document.getElementById('inflation').value), }; const factors = [ { key: 'vix', label: 'Volatility (VIX)', weight: 0.25, scoreFn: (v) => Math.min(100, Math.max(0, (v - 15) * 5)) }, { key: 'yieldCurve', label: 'Yield Curve', weight: 0.35, scoreFn: (v) => v < 0 ? Math.min(100, Math.abs(v) * 200) : 0 }, { key: 'corpDebt', label: 'Corporate Debt', weight: 0.15, scoreFn: (v) => Math.max(0, (v - 45) * 8) }, { key: 'unemploymentGrowth', label: 'Unemployment', weight: 0.20, scoreFn: (v) => Math.min(100, (v / 0.5) * 100) }, { key: 'inflation', label: 'Inflation', weight: 0.05, scoreFn: (v) => Math.max(0, (v - 4) * 10) }, ]; let totalScore = 0; const factorScores = factors.map(f => { const rawScore = Math.max(0, Math.min(100, f.scoreFn(inputs[f.key]))); const contribution = rawScore * f.weight; totalScore += contribution; return { label: f.label, contribution }; }); totalScore = Math.min(100, totalScore); let probability, riskLevel; if (totalScore < 20) { probability = totalScore * 0.5; riskLevel = 'Low'; } // 0-10% else if (totalScore < 45) { probability = 10 + (totalScore - 20) * 0.8; riskLevel = 'Elevated'; } // 10-30% else if (totalScore < 70) { probability = 30 + (totalScore - 45); riskLevel = 'High'; } // 30-55% else { probability = 55 + (totalScore - 70) * 1.5; riskLevel = 'Severe'; } // 55-100% probability = Math.min(99.9, probability); const keyFactor = factorScores.reduce((max, f) => f.contribution > max.contribution ? f : max).label; predictionData = { totalScore, probability, riskLevel, keyFactor, factorScores, inputs }; return predictionData; }; const handleRecalculate = () => { const metrics = predictRisk(); renderKPIs(metrics); renderCharts(metrics); renderAnalysis(metrics); switchTab('dashboard'); }; const generatePDF = () => { if (!predictionData) return; const { jsPDF } = window.jspdf; const doc = new jsPDF(); const pageWidth = doc.internal.pageSize.width; const margin = 15; let y = margin; const { inputs, ...metrics } = predictionData; doc.setFont('helvetica', 'bold'); doc.setFontSize(22); doc.text('Financial Risk Event Prediction Report', pageWidth / 2, y, { align: 'center' }); y += 10; doc.setFontSize(12); doc.setFont('helvetica', 'normal'); doc.text(`Analysis Date: ${new Date().toLocaleDateString('en-US')}`, pageWidth / 2, y, { align: 'center' }); y += 15; doc.setFontSize(16); doc.setFont('helvetica', 'bold'); doc.text('Prediction Summary', margin, y); y += 8; const summaryText = [ { label: 'Overall Risk Level', value: metrics.riskLevel }, { label: 'Event Probability (Next 12 Months)', value: `${metrics.probability.toFixed(1)}%` }, { label: 'Primary Influencing Factor', value: metrics.keyFactor }, ]; doc.setFontSize(12); summaryText.forEach(item => { doc.setFont('helvetica', 'bold'); doc.text(item.label + ':', margin, y); doc.setFont('helvetica', 'normal'); doc.text(item.value, pageWidth / 2 + 30, y); y += 7; }); y += 5; doc.setDrawColor(220); doc.line(margin, y, pageWidth - margin, y); y += 10; doc.setFontSize(16); doc.setFont('helvetica', 'bold'); doc.text('Input Macroeconomic Indicators', margin, y); y += 8; const inputsText = [ { label: 'Volatility Index (VIX)', value: inputs.vix.toFixed(1) }, { label: 'Yield Curve Slope (%)', value: inputs.yieldCurve.toFixed(2) }, { label: 'Corporate Debt/GDP (%)', value: inputs.corpDebt.toFixed(1) }, { label: 'Unemployment Change (%)', value: inputs.unemploymentGrowth.toFixed(1) }, { label: 'Core Inflation Rate (%)', value: inputs.inflation.toFixed(1) }, ]; doc.setFontSize(12); inputsText.forEach(item => { doc.setFont('helvetica', 'bold'); doc.text(item.label + ':', margin, y); doc.setFont('helvetica', 'normal'); doc.text(item.value, pageWidth / 2 + 30, y); y += 7; }); doc.addPage(); y = margin; doc.setFontSize(16); doc.setFont('helvetica', 'bold'); doc.text('Risk Visualizations', margin, y); y += 5; try { const gaugeImg = charts.gauge.toBase64Image(); const contributionImg = charts.contribution.toBase64Image(); doc.addImage(gaugeImg, 'PNG', margin, y, 80, 50); doc.addImage(contributionImg, 'PNG', margin + 90, y, pageWidth - (margin * 2) - 90, 80); } catch(e) { console.error("PDF Chart Error:", e); } doc.save('Financial_Risk_Prediction_Report.pdf'); }; // APP NAVIGATION const switchTab = (tabName) => { if (!tabs.includes(tabName)) return; currentTab = tabName; Object.values(tabContent).forEach(content => content.classList.add('hidden')); tabContent[tabName].classList.remove('hidden'); Object.values(tabButtons).forEach(button => button.classList.remove('active')); tabButtons[tabName].classList.add('active'); updateNavButtons(); }; const updateNavButtons = () => { const currentIndex = tabs.indexOf(currentTab); prevBtn.disabled = currentIndex === 0; nextBtn.disabled = currentIndex === tabs.length - 1; }; const navigateTabs = (direction) => { const currentIndex = tabs.indexOf(currentTab); let newIndex = direction === 'next' ? Math.min(currentIndex + 1, tabs.length - 1) : Math.max(currentIndex - 1, 0); switchTab(tabs[newIndex]); }; // INITIALIZATION document.getElementById('recalculate-btn').addEventListener('click', handleRecalculate); document.getElementById('download-pdf-btn-dashboard').addEventListener('click', generatePDF); window.app = { switchTab, navigateTabs }; handleRecalculate(); updateNavButtons(); });
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