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Microlesson · 5-min read

Cash Management (Baumol & Miller-Orr Models)

Every business needs to hold some cash — but how much is "just right"? Hold too little and you scramble to pay suppliers or miss early-payment discounts. Hold too much and money sits idle instead of earning returns on short-term investments. Cash Management Models give a mathematical answer to this question.

CA Inter tests two models. Baumol's Model treats cash like inventory (borrowing EOQ logic): a firm periodically converts short-term investments into cash in fixed chunks. Two costs trade off — the transaction cost (F), the fixed cost each time you convert, and the opportunity cost (i), the interest forgone on idle cash. The optimal conversion amount is **C\* = √(2TF/i)**, where T is total cash needed in the period. Average cash holding = C\/2. Total cost = (T/C\) × F + (C\*/2) × i. Baumol assumes cash outflows are steady and predictable — it works best for firms with regular, uniform payment schedules.

Miller-Orr Model handles the real world, where cash flows are uncertain and lumpy. Management first sets a lower limit (L) — a minimum safety buffer. The model calculates a Spread (Z) = 3 × ∛(3Fσ²/4i), where σ² is the variance of daily net cash flows and i is the daily opportunity cost rate. From this: Upper limit (H) = L + Z and Return point (R) = L + Z/3. The rule is simple: when the cash balance hits H (too much cash), invest the excess and pull the balance back to R. When it hits L (too little), liquidate investments and restore to R. Between L and H — do nothing. This "do nothing" zone is what makes Miller-Orr efficient; you only transact at the boundaries, minimising unnecessary transaction costs.

This topic is asked frequently as a 6–8 mark working problem in Paper 6. Baumol tends to appear in MCQs and short theory questions; Miller-Orr dominates full-length numericals. Know both formulas cold, and — critically — understand when to apply which model. If the question mentions steady, predictable cash outflows, reach for Baumol. If it mentions variance (σ²) or random cash flows, that is Miller-Orr territory. That single judgment call is often worth a mark on its own.

Worked example

Example 1 — Baumol's Model

Sharma & Co. requires ₹10,00,000 cash over the year. Each conversion of short-term investments to cash costs ₹2,000 (transaction cost). The opportunity cost of holding cash is 10% p.a. Find the optimal conversion amount and total annual cost.

Working:

Step 1: Apply C\* = √(2TF/i), where T = ₹10,00,000, F = ₹2,000, i = 0.10

Step 2: 2 × T × F = 2 × ₹10,00,000 × ₹2,000 = ₹4,00,00,00,000

Step 3: ÷ i → ₹4,00,00,00,000 ÷ 0.10 = ₹40,00,00,00,000

Step 4: C\* = √₹40,00,00,00,000 = ₹2,00,000

ItemCalculationAmount
Average cash balance₹2,00,000 ÷ 2₹1,00,000
No. of conversions p.a.₹10,00,000 ÷ ₹2,00,0005 times
Total transaction cost5 × ₹2,000₹10,000
Total opportunity cost₹1,00,000 × 10%₹10,000
Total Annual Cost₹20,000

Notice total transaction cost = total opportunity cost — this always holds at the optimum in Baumol's Model.

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Example 2 — Miller-Orr Model

Iyer Enterprises has set a minimum cash balance (lower limit L) of ₹5,000. Daily net cash flow variance (σ²) = ₹3,60,000. Transaction cost per conversion (F) = ₹100. Daily opportunity cost (i) = 0.1% per day. Calculate the spread, upper limit, and return point.

Working:

Step 1: Compute numerator: 3 × F × σ² = 3 × ₹100 × ₹3,60,000 = ₹10,80,00,000

Step 2: Compute denominator: 4 × i = 4 × 0.001 = 0.004

Step 3: 3Fσ²/4i = ₹10,80,00,000 ÷ 0.004 = ₹2,70,00,00,000

Step 4: ∛(₹2,70,00,00,000) = ₹3,000 (verify: 3,000³ = 2,70,00,00,000 ✓)

Step 5: Spread Z = 3 × ₹3,000 = ₹9,000

LimitFormulaValue
Lower limit (L)Given₹5,000
Upper limit (H)L + Z = ₹5,000 + ₹9,000₹14,000
Return point (R)L + Z/3 = ₹5,000 + ₹3,000₹8,000

Interpretation: Cash hits ₹14,000 → invest ₹6,000, balance returns to ₹8,000. Cash falls to ₹5,000 → sell investments worth ₹3,000, balance restored to ₹8,000. Between ₹5,000 and ₹14,000 → no action required.

⚠️ Common exam mistakes

  • **Using C\ directly instead of C\/2 for opportunity cost.** C\ is the maximum cash balance (the full conversion amount). The average balance is C\/2, and that is what you multiply by i to get opportunity cost. Using C\* inflates your opportunity cost by 100%.
  • Plugging an annual interest rate into Miller-Orr without converting to daily. Because σ² is measured per day, i must also be per day. If the question gives 18% p.a., divide by 365 to get the daily rate (≈ 0.0493% per day) before substituting. Mixing annual i with daily σ² destroys the formula.
  • Computing the return point as L + 2Z/3 instead of L + Z/3. The return point sits one-third of the way up from the lower limit, not two-thirds. R = L + (1/3) × Spread. This is the single most common Miller-Orr slip in exam papers — write the formula before you substitute numbers.
  • Forgetting to add L when stating the upper limit and return point. After correctly computing the Spread, students write H = Z and R = Z/3. Both must be anchored to the lower limit: H = L + Z and R = L + Z/3.
  • Choosing Baumol when the question describes uncertain cash flows. If the question gives a variance (σ²) or says cash flows "fluctuate randomly," that is a direct signal to use Miller-Orr. Baumol is only valid when cash outflows are uniform and predictable. Using the wrong model means every subsequent step is wrong.
Reference: Cash Mgmt — Institute of Chartered Accountants of India
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