Upload
andrea-lynch
View
218
Download
0
Embed Size (px)
Citation preview
© Prentice Hall, 200723-1
2323
Corporate Financial Management 3e
Emery Finnerty Stowe
Accounts Receivable and
Inventory Management
23-2
Learning Objectives
Explain the reasons for granting credit.
Evaluate credit granting decisions using the NPV rule.
Describe important accounts receivable management tools.
Identify and compute inventory management costs.
Apply inventory management models to optimize the firm’s inventory.
23-3
Chapter Outline
23.1 Accounts Receivable Management
23.2 Credit Standards and Credit Evaluation
23.3 Monitoring Accounts Receivable
23.4 Inventory Management
23-4
Receivables, Inventory and the Principles of Finance
Incremental Benefits Calculate the incremental cash flows for receivables
and inventory decisions.Time Value of Money Compare NPVs of alternative receivables and inventory
decisions.Two-Sided Transactions Look for situations that are non-zero-sum games; these
may be profitable for you and your supplier or customer. Receivables and inventory decisions can be used to reduce agency and transactions costs.
23-5
Receivables, Inventory and the Principles of Finance
Self-Interested Behavior Carefully evaluate and monitor the creditworthiness of
your credit customers and the quality of goods and services from your suppliers.
Comparative Advantage Consider subcontracting business activities to outside
vendors if they can provide the services more cheaply and competently.
Behavioral Common industry practices provide a starting place for
operating efficiently.
23-6
23.1 Accounts Receivable Management
Credit sales create accounts receivable
Trade credit
Consumer credit
23-7
Why Grant Credit?
To facilitate business and promote efficiency Financial intermediation Collateral Information costs Product quality information Employee theft Steps in the distribution process Convenience, safety, and buyer psychology
23-8
The Basic Credit Granting Decision
Credit should be granted if the NPV of granting credit is positive.
The NPV depends on: amount of the sale investment in the sale probability of payment payment period required return collection efforts
23-9
The NPV of the Basic Credit Granting Decision
Let R = amount of sale p = probability of payment C = the firm’s investment in the sale r = the required return t = time at which payment is expected
tr
RpCNPV
)1(
23-10
The Basic Credit Granting Decision
Medi-Supply is considering extending $4,200 of credit to a customer. Medi-Supply has invested $3,750 in the sale and it estimates that the customer has a 90% probability of making the payment. The payment is due in 2 months and the required return is 20% APY.Should Medi-Supply grant credit to this customer?
N=2/12 I=20 PMT=0 FV=(.9)4,200 =3,780.00 PV=3,666.87
NPV = 3,666.87 – 3,750 = -$83.13
23-11
The Basic Credit Granting Decision
What is the minimum probability of payment that Medi-Supply would require from this customer?
N=2/12 I=20 PV=3,750 PMT=0 FV=3,865.70
3,865.70 = p(4,200)
p = 3,865.70/4,200 = 0.9204 = 92.04%
23-12
Credit Policy Decisions
Choice of credit terms
Setting evaluation methods and credit standards
Monitoring receivables
Taking actions for slow payments
Controlling & administering the firm’s credit functions
23-13
23.2 Sources of Credit Information
A credit application, including referencesApplicant’s payment historyInformation from sales representativesFinancial statements for recent yearsReports from credit rating agencies Dun & Bradstreet Credit Services
Credit bureau reportsIndustry association credit files
23-14
Judgmental Approach to Credit Decisions
CharacterCapacityCapitalCollateralConditions
The five C’s of credit:
23-15
Credit Scoring Models
These combine several financial variables to create a single score or index: S = w1X1 + w2X2 + . . . Credit is granted if the score is above a pre-specified cut-off value.Advantages: Easy to compute Easy to change standards Avoids bias or discrimination
Disadvantages: Requires large samples to “calibrate.” Can be “gamed” if parameter values are known
23-16
23.3 Monitoring Accounts Receivables
Aging schedules
Average age of receivables
Collection fractions and receivables balance fractions
Pursuing delinquent credit customers
Changing credit policy
23-17
Aging Schedule
An aging schedule shows the dollar amount and the percentage of receivables in several age classifications.
Age (days) Amount Percent
0 to 3031 to 6061 to 90over 90
$23,200$9,300$3,500
$0
64.44%25.83%
9.72%0.00%
Total $36,000 100.00%
23-18
Average Age
The average age is computed by using the mid-points of the age ranges:
Average Age
= 0.6444(15) + 0.2583(45) + 0.0972(75)
= 28.58 days
23-19
Collection & Receivables Fraction Balances
Collection fractions are the percentage of sales collected during various months after the sale.
Receivables Balance fractions are the percentage of a month’s sales that remain uncollected at the end of the month of the sale and at the end of successive months.
23-20
Collection & Receivables Fraction Balances
Greenleaf Inc. had sales of $50,000 in March. The expected collection fractions, the expected receivables balance fractions, and the actual collections of sales are shown in the table.
Compute the actual collection fractions and receivables balance fractions for the March sales.
23-21
Collection & Receivables Fraction Balances
ExpectedMonth Collection
FractionReceivables
FractionSales
Collected
MarchAprilMayJune
10%50%35%5%
90%40%5%0%
$4,000$22,500$16,500
$7,000
Totals 100% $50,000
23-22
Collection & Receivables Fraction Balances
ActualMonth Sales
CollectedCollectionFraction
ReceivablesFraction
MarchAprilMayJune
$4,000$22,500$16,500
$7,000
8%45%33%14%
92%47%14%0%
Totals $50,000 100%
23-23
Pursuing Delinquent Accounts
Letters
Telephone calls
Personal visits
Collection agencies
Legal proceedings
23-24
Changing Credit Policy
Credit policy can be changed by changing: credit terms credit standards collection policies
A change in the credit policy affects: sales cost of goods sold bad debt expense carrying costs of receivables administrative costs
23-25
Changing Credit Policy
Sales of Mabry Fireplace Co. are currently $500,000 under credit terms of “net 30.” Bad debt losses amount to 1.50% and the balance is collected in 1.50 months on average. Under the proposed policy of “2/10, net 30,” sales would increase by 12% and bad debts would decline to 0.75% of sales. About 65% of the customers are expected to take the discount, but on average, their money would actually be collected in 15 days (0.5 months) and the remainder within 45 days (1.5 months). Assume that Mabry’s investment in sales equals 60% and that the required rate of return is 1.50% per month.Should Mabry change its credit policy to the proposed one?
23-26
Changing Credit Policy
Under the current policy, Mabry’s investment in sales is $300,000.
60%×$500,000 = $300,000.Bad debts are $7,500.
$7,500 = 1.50%×$500,000Sales collections are $492,500.
= $500,000 – $7,500 = $492,500 (in 1.50 months).
623,181$)015.1(
500,492$000,300$
5.1NPV
23-27
Changing Credit Policy
Under the new policy, sales = $560,000.
1.12×$500,000 = $560,000.
Mabry’s investment in sales = $336,000.
60%×$560,000 = $336,000.
Bad debt losses = $4,200.
0.75%×$560,000 = $4,200.
Discounts taken = 7,280.
65%×2%×($560,000) = $7,280.
23-28
Changing Credit Policy
Sales collected = $560,000 – $4,200 – $7,280 = $548,520
Amount collected in 0.5 months:
65%×0.98×$560,000 = $356,720
Amount collected in 1.5 months:
(100% – 65% – 0.75%)×$560,000 = $191,800
23-29
Changing Credit Policy
This is larger than the NPV of current policy, $181,623, so switching is favorable.
5.15.0 )015.1(
800,191$
)015.1(
720,356$000,336$NPV
NPV = -336,000 + 354,074 + 187,564 = $205,638
23-30
23.4 Inventory Management
Types of inventories: Raw materials Work-in-process Finished goods
23-31
Economic Order Quantity (EOQ) Model
Let S = constant usage rate of the inventory. F = fixed cost of ordering inventory. C = carrying cost per unit of inventory for the
period. Q = units of inventory ordered.
23-32
Costs of Carrying Inventory
Carrying Costs
Ordering costs
Total cost
Q*
Annual costs
Order Quantity Q
The investment income foregone when holding inventory.
23-33
The EOQ Model
S = Annual usageF = The fixed cost reorderingC = Annual cost of carrying a unit of inventoryQ = The order quantity
Time
Q
If we start with Q units of inventory, sell at a constant rate each period and replace our inventory with Q when we run out, our average inventory level will be
2
Q
2
Q
1 2 3
23-34
The EOQ Model
Time
Q
2
Q
1 2 3The ordering cost S
Q
F
S = Annual usageF = The fixed cost reorderingC = Annual cost of carrying a unit of inventoryQ = The order quantity As we transfer Q units
each period we incur a trading cost of F each period. If we need S in total over the planning period we will pay $F,
times. Q
S
23-35
The EOQ Model
Q* Size of cash balance
C2cost Total
SF
CQ
Carrying cost2
CQ
Q
SF Ordering costs
The economic order quantity is where the total costs are minimized.C
FSQ
2*
23-36
The EOQ Model
The economic order quantity minimizes total inventory costs. The EOQ also exists when the ordering costs costs equal the carrying costs. The EOQ is:
C
FSQ
2*
23-37
The EOQ Model
The Acer Co. sells 10,000 units per year. The cost of placing one order is $45 and it costs $4 per year to carry one unit of inventory.
What is Acer’s EOQ?
C
FSQ
2* units 4754$
000,1045$2
23-38
The EOQ Model
Average inventory
Q/2 = 475/2 = 237.5 units
Number of orders per year
S/Q = 10,000/475 = 21
Time between orders
Q/S = (365/21) = 17.38 days
23-39
The EOQ Model
Annual ordering cost
F(S/Q) = $45(10,000/475) = $947 per year
Annual holding cost
C(Q/2) = $4(475/2) = $950 per year
Total annual cost
$947 + $950 = $1,897 per year
23-40
Quantity Discounts
Quantity discounts can impact the optimal order size.
Suppose Acer were offered a discount of $0.02 per unit if it ordered in lots of 500.
23-41
Quantity Discounts
Total cost with this order size =
= Annual Ordering Cost + Annual Carrying Cost
– Total Discount
700,1$ 000,1002.0$2
5004$
500
000,1045$
2
dSCQ
Q
FS
This is less than $1,897, so the quantity discount more than makes up the higher costs.
23-42
Inventory Management with Uncertainty
Types of uncertainty: Future demand Inventory usage rate Delivery time
To protect against stockouts, the firm must maintain a safety stock of inventory.Stockouts result in: lost sales customer ill will production down-time
23-43
Inventory Management with Uncertainty
Reorder point
Expected lead-time demand + Safety stock.
Annual cost
Ordering cost + Carrying cost + Stockout costs.
23-44
Inventory Management with Uncertainty
Inventory Level
Time
Reorder Point
Safety Stock Level
Lead Time
23-45
ABC System of Inventory Management
Inventory items are classified into three groups on the basis of critical needs. Group A items are most critical. Group C items are least critical.
Critical items are managed very carefully.
23-46
ABC System of Inventory Management
Val
ue o
f in
vent
ory
A items B items C items
Suppose 15% of our items
accounted for 70% of our
sales.
They would be A items,
managed most carefully.
100%
70%
Number of items
23-47
Materials Requirement Planning Systems
MRPs are computer-based inventory planning and management systems.
Objectives: smooth production no interruptions handle complex inventory requirements
23-48
Just-In-Time (JIT) Inventory Systems
Materials should arrive exactly as they are needed in the production process. Reduces inventory holding costs
Important factors determining success of JIT systems: Planning requirements Supplier relations Setup costs Other cost factors Impact on credit terms
23-49
Summary
Accounts receivable are investments that can made using the NPV framework.
The five C’s of credit and objective credit-scoring models are both in wide use.
Aging schedules, collection fractions, and balance fractions are used to monitor AR.
Pursuing delinquent customers and changing credit policy are also based on cash flow analysis.
23-50
Summary
The EOQ is the order size that minimizes inventory costs.
When demand is uncertain, firms maintain safety stocks. The reorder point is the safety stock plus the expected lead time demand.
Modern firms uses computer-based systems such as MRP (materials requirement planning) and JIT (just-in-time) systems to compete.