Credit rating model
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23 March 2026
Need a credit rating model in excel to obtain shadow rating before rating from an agency like ICRA or CRISIL.
Can anybody provide please?
Can anybody provide please?
24 March 2026
A ready-made Excel model from ICRA/CRISIL is not publicly available; rating agencies only publish their methodologies and not the actual scoring sheets. However, you can build a practical “shadow rating” Excel model by translating those public methodologies into ratio scorecards and mapping scores to an internal rating scale.
ICRA and CRISIL publish rating methodology documents, sector criteria and ratio frameworks, but not downloadable Excel tools.
Market discussion confirms that banks and corporates usually build internal Excel models by coding these methodologies themselves rather than using an official template.
ICRA and CRISIL publish rating methodology documents, sector criteria and ratio frameworks, but not downloadable Excel tools.
Market discussion confirms that banks and corporates usually build internal Excel models by coding these methodologies themselves rather than using an official template.
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24 March 2026
How to design your Excel shadow model
You can create a generic corporate/borrower model that mimics how agencies think:
Define input sheets
One sheet for 3–5 years of financials (P&L, balance sheet, cash flows).
One sheet for qualitative factors (promoter profile, group support, industry risk, management, etc.), captured as scores.
Compute key ratios (ICRA calls this “Financial Ratio Analysis” and lists typical ratios).
For corporates, include at least:
Leverage: Total debt / Tangible net worth, Total outside liabilities / TNW, Net debt / EBITDA.
Coverage: Interest coverage (EBITDA / interest), DSCR.
Profitability: Operating margin, PAT margin, RoCE, RoNW.
Liquidity: Current ratio, operating cash flow to total debt, working capital intensity.
Convert ratios to sub-scores
For each ratio, create bands linked to a score (e.g. 1–5).
Define bands with reference to how agencies describe “strong / moderate / weak” metrics in their methodologies; e.g. stronger leverage and coverage should map to better scores.
Add qualitative scorecard
Create weighted scorecards for:
Business risk: market position, diversification, industry cyclicality.
Management / governance: track record, transparency, group support.
Financial policy: appetite for leverage, dividend policy, growth strategy.
Weight and aggregate scores
Assign weights to financial vs. business vs. management factors similar to agency thinking for that sector.
Compute a composite numerical score (e.g. 0–100) as weighted average of all sub-scores.
Map score to an internal rating scale
Use a table to convert composite score ranges into internal grades analogous to ICRA/CRISIL symbols (e.g. “Shadow AA, A, BBB, BB…”).
Use the publicly available rating scales to ensure your internal labels line up with long-term/short-term categories.
You can create a generic corporate/borrower model that mimics how agencies think:
Define input sheets
One sheet for 3–5 years of financials (P&L, balance sheet, cash flows).
One sheet for qualitative factors (promoter profile, group support, industry risk, management, etc.), captured as scores.
Compute key ratios (ICRA calls this “Financial Ratio Analysis” and lists typical ratios).
For corporates, include at least:
Leverage: Total debt / Tangible net worth, Total outside liabilities / TNW, Net debt / EBITDA.
Coverage: Interest coverage (EBITDA / interest), DSCR.
Profitability: Operating margin, PAT margin, RoCE, RoNW.
Liquidity: Current ratio, operating cash flow to total debt, working capital intensity.
Convert ratios to sub-scores
For each ratio, create bands linked to a score (e.g. 1–5).
Define bands with reference to how agencies describe “strong / moderate / weak” metrics in their methodologies; e.g. stronger leverage and coverage should map to better scores.
Add qualitative scorecard
Create weighted scorecards for:
Business risk: market position, diversification, industry cyclicality.
Management / governance: track record, transparency, group support.
Financial policy: appetite for leverage, dividend policy, growth strategy.
Weight and aggregate scores
Assign weights to financial vs. business vs. management factors similar to agency thinking for that sector.
Compute a composite numerical score (e.g. 0–100) as weighted average of all sub-scores.
Map score to an internal rating scale
Use a table to convert composite score ranges into internal grades analogous to ICRA/CRISIL symbols (e.g. “Shadow AA, A, BBB, BB…”).
Use the publicly available rating scales to ensure your internal labels line up with long-term/short-term categories.
24 March 2026
Thank you sir, I'm seeking the same for personal/internal use only, obviously it will be labeled as shadow rating if I work out for others
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24 March 2026
Set up your Excel sheet with the following five categories, which mirror the weightage used by major Indian credit bureaus.
Payment History (35% Weight)
Formula: (On-time Payments / Total Payments) * 100
Goal: Maintain 100% on-time status.
Credit Utilization (30% Weight)
Formula: (Current Balance / Total Credit Limit) * 100
Benchmark: Aim for below 30% to avoid being flagged as "credit hungry".
Credit History Length (15% Weight)
Metric: Age of your oldest active credit account.
Credit Mix (10% Weight)
Diversity: A balance of secured (home/auto) and unsecured (personal/credit card) loans.
New Credit Inquiries (10% Weight)
Metric: Number of "hard inquiries" in the last 6–12 months.
Payment History (35% Weight)
Formula: (On-time Payments / Total Payments) * 100
Goal: Maintain 100% on-time status.
Credit Utilization (30% Weight)
Formula: (Current Balance / Total Credit Limit) * 100
Benchmark: Aim for below 30% to avoid being flagged as "credit hungry".
Credit History Length (15% Weight)
Metric: Age of your oldest active credit account.
Credit Mix (10% Weight)
Diversity: A balance of secured (home/auto) and unsecured (personal/credit card) loans.
New Credit Inquiries (10% Weight)
Metric: Number of "hard inquiries" in the last 6–12 months.
24 March 2026
Use a VLOOKUP table in Excel to map your calculated score (typically 300–900) to the alphanumeric scales used by ICRA or CRISIL.
ICRA Ratings
ICRA Ratings
+3
Score Range Shadow Rating Risk Level
800 - 900 AAA Highest Safety
750 - 799 AA High Safety
700 - 749 A Adequate Safety
600 - 699 BBB Moderate Risk
Below 600 BB / B / C High Risk of Default
ICRA Ratings
ICRA Ratings
+3
Score Range Shadow Rating Risk Level
800 - 900 AAA Highest Safety
750 - 799 AA High Safety
700 - 749 A Adequate Safety
600 - 699 BBB Moderate Risk
Below 600 BB / B / C High Risk of Default
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24 March 2026
Dynamic Meter: You can create a visual "Credit Rating Meter" using a Doughnut chart in Excel to track real-time changes as you update balances.
Conditional Formatting: Use rules like (=Utilization Ratio > 0.3) to highlight cells in Red for immediate attention.
External Verification: Use official tools like the CIBIL Free Score Check to validate your Excel model's accuracy.
Conditional Formatting: Use rules like (=Utilization Ratio > 0.3) to highlight cells in Red for immediate attention.
External Verification: Use official tools like the CIBIL Free Score Check to validate your Excel model's accuracy.
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