Chesser Model Calculator

Model commercial borrower creditworthiness, covenant compliance, and default probability using Delton L. Chesser's (1974) banking logit architecture.

Borrower Presets:

Borrower Financial Statement Inputs ($M)

Total enterprise asset base ($M).
Liquid cash, equivalents, and short-term paper (X1 numerator).
Trailing 12-month net sales revenue (X2 numerator, X6 denominator).
Net sales minus cost of goods sold (X3 numerator).
Current plus non-current debt and obligations (X4 numerator).
Property, plant, and equipment net of depreciation (X5 numerator).
Total shareholders' equity excluding intangibles (X5 denominator).
Current assets minus current liabilities (X6 numerator).

Commercial Credit & Noncompliance Rating

Compliant / Prime
Default Probability (P)
2.43%
P ≤ 50%: Compliant Borrower
Logit Score Index (Y)
-3.692
Y < 0 indicates P < 50%

Model Components & Logit Decomposition

Ratio Variable Value Weight Logit Impact Risk Direction
Low Risk (< 20%) Moderate Risk (20% - 50%) Noncompliance (> 50%)
Low
Moderate
High / Default
Current Position: 2.43% (Low Risk)
Credit Underwriting Decision: APPROVED. The borrower exhibits robust asset turnover, positive operating margin, and comfortable working capital cushions. Probability of covenant noncompliance or debt restructuring remains minimal.

Leverage vs Working Capital Sensitivity Matrix (Default Probability P %)

Examine how changing Total Debt to Assets (X4) alongside Working Capital to Sales (X6) affects borrower default probability under the Chesser logit specification.

Commercial Loan Underwriting & The Chesser Methodology

In 1974, Dr. Delton L. Chesser developed a pioneering credit evaluation tool in the Journal of Commercial Bank Lending aimed directly at commercial lending officers and loan review committees. While earlier models by Beaver (1966) and Altman (1968) focused strictly on terminal legal bankruptcy, Chesser recognized that banks suffer substantial write-downs and credit losses from noncompliance events that fall short of bankruptcy—including covenant violations, loan rescheduling, grace period extensions, and distressed work-outs.

1. Operational Velocity (X2 & X6)

Net Sales to Total Assets (X2, weight -2.124) and Working Capital to Net Sales (X6, weight -2.766) exert the strongest protective influence in the model. High inventory turnover and self-liquidating receivables provide continuous cash flow for debt amortization.

2. Capital Structure & Leverage (X4 & X5)

Total Debt to Assets (X4) and Fixed Assets to Net Worth (X5, weight +0.479) capture balance sheet illiquidity and over-leveraging. Borrowers with excessive capital tied up in illiquid plant assets relative to tangible net worth struggle to pivot during downturns.

3. Logit Probability Formulation

Unlike linear discriminant models that produce unbounded index numbers, Chesser mapped the credit index into a bounded $(0, 1)$ cumulative logistic distribution, providing an intuitive, direct estimate of default likelihood.

The Logit Formulation

$$Y = -3.955 + 0.579 X_1 - 2.124 X_2 + 0.426 X_3 - 0.773 X_4 + 0.479 X_5 - 2.766 X_6$$
$$P(\text{Noncompliance}) = \frac{1}{1 + e^{-Y}}$$

A borrower whose logit index $Y$ exceeds $0.0$ will produce a default probability $P > 0.50$, triggering loan rejection or mandatory collateral credit enhancement under standard banking policies.

Commercial Lending & Credit Analysis Quiz

1. What primary credit event is Chesser's model designed to predict?
2. What probability cutoff defines unacceptable borrower default risk in the Chesser model?

Frequently Asked Questions

What is the Chesser Model and how does it predict commercial loan default?

The Chesser Model is an empirical credit risk logit model published in 1974 by Delton L. Chesser in the Journal of Commercial Bank Lending. Unlike Altman's Z-Score, which predicts corporate liquidation, Chesser's model assesses loan noncompliance—the probability that a borrower will breach debt covenants, require emergency workout restructuring, or default on principal and interest obligations.

What is the mathematical equation for Chesser's logit credit function?

The model computes an intermediate logit index Y = -3.955 + 0.579*X1 - 2.124*X2 + 0.426*X3 - 0.773*X4 + 0.479*X5 - 2.766*X6, where X1 is Cash/Assets, X2 is Net Sales/Assets, X3 is Gross Profit/Assets, X4 is Total Debt/Assets, X5 is Fixed Assets/Net Worth, and X6 is Working Capital/Net Sales. The probability of default is then computed as P = 1 / (1 + e^(-Y)).

What decision cutoff did Chesser establish for commercial lending approval?

Chesser established a 0.50 (50%) probability threshold. Borrowers with a predicted noncompliance probability P > 0.50 are classified as unacceptable credit risks likely to breach covenants or default. Borrowers with P <= 0.50 are classified as compliant acceptable risks. Commercial banks frequently tier risk into Low (P < 0.20), Moderate (0.20 <= P <= 0.50), and High Risk (P > 0.50).

Why is the coefficient on Cash to Total Assets (X1) positive in the Chesser model?

While counterintuitive at first glance, empirical banking studies have demonstrated that distressed corporate borrowers facing impending liquidity crises frequently hoard idle cash or borrow defensively against undrawn credit lines before defaulting. In Chesser's multi-ratio function, productive asset turnover (X2, -2.124) and operating working capital to sales (X6, -2.766) strongly protect against default, while holding excessive idle cash relative to asset size slightly increases the noncompliance score.

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