Enter investment and scenario details, then click 'Analyze Investment'.
";
tableContainer.innerHTML = '
Scenario outcomes table appears here.
';
return;
}
const res = ddias_model.analysisResults;
resultsSection.innerHTML = `
Overall Probabilistic Expected Outcome
Total Purchase Cost: ${ddias_formatCurrency(res.purchaseCostTotal)}
Expected Net Profit/Loss: ${ddias_formatCurrency(res.overallExpectedNetProfit)}
Expected ROI: ${ddias_formatPercent(res.overallExpectedROI)}
Expected Annualized ROI: ${ddias_formatPercent(res.overallAnnualizedExpectedROI)}
Best Case Scenario Profit: ${ddias_formatCurrency(res.bestCaseProfit)}
Worst Case Scenario Profit/Loss: ${ddias_formatCurrency(res.worstCaseLoss)}
`;
let tableHTML = `
| Scenario | Prob. (%) | Recov. Val ($) | Net Recov. ($) | Time (Yrs) | P&L ($) | ROI (%) | Ann. ROI (%) |
`;
res.scenarioOutcomes.forEach(s => {
tableHTML += `
| ${s.name} |
${ddias_formatPercent(s.probability,0)} |
${ddias_formatCurrency(s.recoveryValue)} |
${ddias_formatCurrency(s.netRecovery)} |
${s.timeToRecoveryYears.toFixed(1)} |
${ddias_formatCurrency(s.profitLoss)} |
${ddias_formatPercent(s.roiPercent)} |
${ddias_formatPercent(s.annualizedRoiPercent)} |
`;
});
tableHTML += `
`;
tableContainer.innerHTML = tableHTML;
const pdfBtn = document.getElementById('ddias_downloadPdfButton');
if(pdfBtn) pdfBtn.style.display = 'block';
}
// --- PDF Generation ---
function ddias_downloadPDF() {
if (!ddias_model.analysisResults) { alert("Please analyze investment first."); return; }
if (typeof window.jspdf === 'undefined' || typeof window.jspdf.jsPDF === 'undefined') {
alert('Core PDF library (jsPDF) is not loaded.'); console.error('jsPDF library not found.'); return;
}
const { jsPDF: JSPDF } = window.jspdf;
const doc = new JSPDF();
if (typeof doc.autoTable !== 'function') {
alert('PDF Table plugin (jsPDF-AutoTable) not loaded correctly. Tables in PDF may be missing.');
console.error('doc.autoTable is not a function.');
}
let y = 15; const m = 15; const cw = doc.internal.pageSize.getWidth() - (2 * m);
const res = ddias_model.analysisResults;
const inputs = res.inputsSnapshot || ddias_model; // Use snapshot if taken during analysis
function addLine(text, size, style = 'normal', indent = 0, spacing = 2.5) {
if (y > 275) { doc.addPage(); y = m; }
doc.setFontSize(size); doc.setFont(undefined, style);
const lines = doc.splitTextToSize(text, cw - indent); doc.text(lines, m + indent, y);
y += (lines.length * (size * 0.35)) + spacing;
}
addLine(`Distressed Debt Investment Analysis: ${inputs.investment.instrumentName || 'N/A'}`, 16, 'bold', 0, 5);
addLine(`Report Date: ${new Date().toLocaleDateString()}`, 9, 'italic', 0, 5);
addLine("Investment Setup:", 11, 'bold', 0, 3);
let setupData = [
["Face Value of Holding:", ddias_formatCurrency(inputs.investment.faceValue)],
["Purchase Price (% of Face):", ddias_formatPercent(inputs.investment.purchasePricePercent,1)],
["Calculated Purchase Cost:", ddias_formatCurrency(res.purchaseCostTotal)],
["Position in Capital Structure:", inputs.investment.capStructurePosition],
];
if(typeof doc.autoTable === 'function') {
doc.autoTable({startY: y, body: setupData, theme: 'plain', styles:{fontSize:9, cellPadding:1.2}, columnStyles:{0:{fontStyle:'bold'}}});
y = doc.lastAutoTable.finalY + 5;
} else { setupData.forEach(row => addLine(`${row[0]} ${row[1]}`, 9)); y+=5;}
addLine("Recovery Scenario Analysis:", 11, 'bold', 0, 3);
const head = [['Scenario', 'Prob.(%)', 'Recov.Val($)', 'Net Recov.($)', 'Time(Yrs)', 'P&L($)', 'ROI(%)', 'Ann.ROI(%)']];
const body = res.scenarioOutcomes.map(s => [
s.name, s.probability.toFixed(0), ddias_formatCurrency(s.recoveryValue), ddias_formatCurrency(s.netRecovery),
s.timeToRecoveryYears.toFixed(1), ddias_formatCurrency(s.profitLoss),
ddias_formatPercent(s.roiPercent), ddias_formatPercent(s.annualizedRoiPercent)
]);
if (typeof doc.autoTable === 'function') {
doc.autoTable({startY: y, head: head, body: body, theme: 'grid', headStyles:{fillColor:[75,85,99], fontSize:8}, styles:{fontSize:7.5, cellPadding:1, halign:'right', overflow:'linebreak'}, columnStyles:{0:{halign:'left', fontStyle:'bold'}}});
y = doc.lastAutoTable.finalY + 6;
} else { addLine("Scenario table cannot be generated (plugin issue).", 8, 'italic'); y+=5; }
addLine("Overall Probabilistic Expected Results:", 12, 'bold', 0, 4);
let overallData = [
["Expected Net Profit/Loss:", ddias_formatCurrency(res.overallExpectedNetProfit)],
["Expected ROI (%):", ddias_formatPercent(res.overallExpectedROI)],
["Expected Annualized ROI (%):", ddias_formatPercent(res.overallAnnualizedExpectedROI)],
["Best Case Scenario Profit:", ddias_formatCurrency(res.bestCaseProfit)],
["Worst Case Scenario Profit/Loss:", ddias_formatCurrency(res.worstCaseLoss)],
];
if (typeof doc.autoTable === 'function') {
doc.autoTable({startY: y, body: overallData, theme: 'plain', styles:{fontSize:9, cellPadding:1.2}, columnStyles:{0:{fontStyle:'bold'}}});
y = doc.lastAutoTable.finalY + 7;
} else { overallData.forEach(row => addLine(`${row[0]} ${row[1]}`, 9)); y+=5; }
addLine("Note: This is a conceptual simulator based on user-defined inputs and probabilities. It does not constitute financial advice.", 7, 'italic');
doc.save(`DistressedDebt_Analysis_${inputs.investment.instrumentName.replace(/\s+/g, '_')}.pdf`);
}
