Principles of corporate finance 6th brealey myers chapter 30

Credit AnalysisCredit Analysis - Procedure to determine the likelihood a customer will pay its bills..  Credit agencies, such as Dun & Bradstreet provide reports on the credit worthine

 Credit Management

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Chapter 30

Terms of Sale

Terms of Sale - Credit, discount, and payment terms

offered on a sale

Example - 5/10 net 30

5 - percent discount for early payment

10 - number of days that the discount is available

net 30 - number of days before payment is due

Terms of Sale

 A firm that buys on credit is in effect borrowing

from its supplier It saves cash today but will have

to pay later This, of course, is an implicit loan from the supplier

 We can calculate the implicit cost of this loan

Terms of Sale

 A firm that buys on credit is in effect borrowing

from its supplier It saves cash today but will have

to pay later This, of course, is an implicit loan from the supplier

 We can calculate the implicit cost of this loan

Effective annual rate

1 + discount 365 / extra days credit - 1

=

Terms of SaleExample - On a $100 sale, with terms 5/10 net 60,

what is the implied interest rate on the credit given?

Terms of Sale

Example - On a $100 sale, with terms 5/10 net 60,

what is the implied interest rate on the credit given?

 1 +  - 1 = 454, or 45.4%

1 - +

1

rate annual

Effective

365/50 5

credit days

365/extra price

discounteddiscount



Credit Analysis

Credit Analysis - Procedure to determine the

likelihood a customer will pay its bills

 Credit agencies, such as Dun & Bradstreet provide

reports on the credit worthiness of a potential customer

 Financial ratios can be calculated to help determine

a customer’s ability to pay its bills

Credit Analysis

Numerical Credit Scoring categories

 The customer’s character

 The customer’s capacity to pay

 The customer’s capital

 The collateral provided by the customer

 The condition of the customer’s business

Credit Analysis

Multiple Discriminant Analysis - A technique used

to develop a measurement of solvency, sometimes

called a Z Score Edward Altman developed a Z

Score formula that was able to identify bankrupt firms approximately 95% of the time

Credit Analysis

Multiple Discriminant Analysis - A technique used

to develop a measurement of solvency, sometimes

called a Z Score Edward Altman developed a Z

Score formula that was able to identify bankrupt firms approximately 95% of the time

Altman Z Score formula

total assets + 1.0

sales total assets +.6

market value of equity total book debt

Credit Analysis

Example - If the Altman Z score cut off for a credit

worthy business is 2.7 or higher, would we accept the following client?

Credit Analysis

Example - If the Altman Z score cut off for a credit

worthy business is 2.7 or higher, would we accept the following client?

EBIT total assets

sales total assets

working capital total assets

=

=

.

4

12

Credit Analysis

Example - If the Altman Z score cut off for a credit

worthy business is 2.7 or higher, would we accept the following client?

A score above 2.7 indicates good credit

Firm' s Z Score

( ) 3 3 12 x + ( 1 0 1 4 x ) + ( ) 6 9 x + ( ) 1 4 4 x + ( ) 1 2 12 x = 3 04

Credit Analysis

 Credit analysis is only worth while if the

expected savings exceed the cost.

 Don’t undertake a full credit analysis unless the order is big enough to justify it

 Undertake a full credit analysis for the doubtful orders only

The Credit Decision

Credit Policy - Standards set to determine the amount

and nature of credit to extend to customers

 Extending credit gives you the probability of making

a profit, not the guarantee There is still a chance of default

 Denying credit guarantees neither profit or loss

The Credit DecisionThe credit decision and its probable payoffs

Offer credit

The Credit DecisionThe credit decision and its probable payoffs

Offer credit

Customer pays = p

Customer defaults = 1-p

The Credit DecisionThe credit decision and its probable payoffs

The Credit Decision

 Based on the probability of payoffs, the expected

profit can be expressed as:

The Credit Decision

 Based on the probability of payoffs, the expected

profit can be expressed as:

p x PV(Rev - Cost) - (1 - p) x (PV(cost)

The Credit Decision

 Based on the probability of payoffs, the expected

profit can be expressed as:

 The break even probability of collection is:

p x PV(Rev - Cost) - (1 - p) x (PV(cost)

PV(Rev)

Collection Policy

Sample aging schedule for accounts receivable

30,000 21,000

4,000 5,000

0 0

Beta

10,000 0

0 10,000

Alpha

Owed

Total Overdue

Month

1 than

More Overdue

Month

1 Yet Due

Not

Amount Name

s Customer'