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Microlesson · 5-min read

Cash Management Models - Baumol's EOQ Model and Miller-Orr Model

## Cash Management Models

Cash management models help decide how much cash to hold to:

  • Avoid excessive idle cash, and
  • Prevent cash shortages
Model TypeUsed WhenExample
Inventory-typeCash flows are predictable/certainBaumol's EOQ Model
StochasticCash flows are random/uncertainMiller-Orr Model

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## Baumol's EOQ Model

Applies the Economic Order Quantity (EOQ) logic from inventory management to cash.

Key Assumption: Cash is used at a steady, predictable rate.

Two costs being balanced:

  • Transaction cost (cost of converting securities to cash each time)
  • Opportunity cost (interest forgone by holding idle cash)

Formula:

$$C = \sqrt{\frac{2 \times P \times U}{S}}$$

SymbolMeaning
COptimal cash balance (amount to convert each time)
PCost per cash conversion (fixed transaction cost)
UAnnual cash usage/requirement
SOpportunity cost = interest rate on marketable securities

Logic: Just like EOQ finds the order quantity that minimizes total inventory cost, Baumol's model finds the cash balance that minimizes total cash management cost.

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## Miller-Orr Model (1966)

Designed for random, unpredictable cash flows — more realistic for most businesses.

Three Control Limits:

LevelDefinitionAction Triggered
Upper limit (h)Maximum cash balanceIf cash reaches h → invest excess, bring back to z
Return point (z)Target/normal cash balanceCash is always restored here after any transfer
Lower limit (0)Minimum cash balanceIf cash falls to 0 → liquidate investments, bring back to z

How it works:

  • Cash balance fluctuates randomly between 0 and h
  • No action is taken as long as cash stays within the band
  • Action (invest or liquidate) is only triggered at the limits

Advantages:

  • Avoids the need for daily monitoring
  • Works well in volatile, unpredictable environments

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### Model Comparison

FeatureBaumolMiller-Orr
Cash flow patternCertain, steadyRandom, unpredictable
Based onEOQ conceptControl limits
Monitoring neededPeriodic conversionOnly at limit breach
ComplexitySimplerMore realistic

Worked example

### Example 1

Baumol's Model — Numerical:

A firm requires ₹12,00,000 cash annually (U). Each time it converts securities to cash, it costs ₹150 (P). The annual interest rate on marketable securities is 10% (S).

Step 1: Apply the formula:

$$C = \sqrt{\frac{2 \times 150 \times 12,00,000}{0.10}}$$

$$C = \sqrt{\frac{36,00,00,000}{0.10}} = \sqrt{3,60,00,00,000}$$

$$C = ₹60,000$$

Interpretation:

  • The firm should convert ₹60,000 worth of securities to cash each time
  • Average cash balance held = C/2 = ₹30,000
  • Number of conversions per year = ₹12,00,000 ÷ ₹60,000 = 20 times

Verification — Total Cost:

  • Transaction cost = 20 × ₹150 = ₹3,000
  • Opportunity cost = ₹30,000 × 10% = ₹3,000
  • Total cost = ₹6,000 (both equal at optimal — this is expected at the minimum)

⚠️ Common exam mistakes

  • In Baumol's model, forgetting that U is annual cash usage — do not use monthly figures without converting first
  • In Miller-Orr, confusing the return point (z) with the midpoint between limits — z is determined by the model's formula and is not simply (h+0)/2
  • Applying Baumol's model when the question describes unpredictable cash flows — Baumol requires steady, certain cash usage; Miller-Orr is for uncertainty
  • Forgetting to divide C by 2 to get average cash balance when calculating opportunity cost
Reference:
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