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Utility score

Also written Investor utility

A single number that scores an investment for one particular investor: expected return minus a penalty for risk, scaled by that investor's own risk aversion.

In plain language

Two investors look at the same portfolio. One finds it attractive; the other would not touch it. Neither is wrong — they simply dislike risk to different degrees.

A utility score captures that. It starts with the portfolio's expected return and subtracts a charge for risk. How big the charge is depends on the investor's risk aversion index (A): the more risk-averse the person, the bigger the deduction.

What is left is, in effect, a certainty-equivalent return — the risk-free return this investor would treat as equally good. If it beats the actual risk-free rate, the investment is worth taking.

How it works

Higher expected return raises utility; higher variance lowers it. The ½ is a scaling convention.

The workbook's worked example: an investor with A = 3 looks at an investment with expected return 15% and risk of 10%, when the risk-free rate is 8%.

U = 0.15 − (0.5 × 3 × 0.10 × 0.10) = 0.135 = 13.5%

or, keeping percentages as whole numbers and using 0.005 in place of ½:

U = 15 − (0.005 × 3 × 10 × 10) = 13.5%

Excess utility is 13.5% − 8% = 5.5%, so the investor should invest.

This is also why utility is different from the Sharpe ratio. Sharpe treats every investor alike, so a higher Sharpe ratio is better for everyone. Utility explains why a good portfolio is not equally attractive to all investors.

The formula

U = E(r) − ½ × A × σ²

with returns as whole-number percentages:
U = E(r) − 0.005 × A × σ²

Decision rule (workbook): invest if U > risk-free rate

A worked example

Illustrative figures. A PMS offers two strategies. The risk-free rate is 7%.

Strategy X (small-cap)Strategy Y (large-cap value)
Expected return14%10%
Standard deviation20%8%

Ravi, a 32-year-old with A = 2:

  • X: 14 − 0.005 × 2 × 20² = 14 − 4 = 10.00%
  • Y: 10 − 0.005 × 2 × 8² = 10 − 0.64 = 9.36%

Both beat 7%; Ravi prefers X.

Meenakshi, a 64-year-old retiree with A = 6:

  • X: 14 − 0.005 × 6 × 400 = 14 − 12 = 2.00% → below 7%, reject
  • Y: 10 − 0.005 × 6 × 64 = 10 − 1.92 = 8.08% → above 7%, accept

On ₹25 lakh each, X's 14% expected return is ₹3.5 lakh against Y's ₹2.5 lakh — yet for Meenakshi, X is worth less than a government bond. Same menu, opposite choices, and the arithmetic explains why.

The workbook's Chapter 15 caselet runs the same test: a portfolio returning 20% with risk 25%, investor A = 5, risk-free 6% → U = 0.20 − 0.5 × 5 × 0.25² = 4.38%, so No.

Why NISM asks about it

Chapter 15 (Introduction to Modern Portfolio Theory), section 15.3, defines risk-averse investors through utility scores and works the A = 3 example; the Chapter 15 caselets test the decision rule with A = 5. Expect a direct computation and a Yes/No on whether to invest.

Common exam traps

  • The workbook's own example mislabels its input. It says the investment has "a variance of 10%" but then squares 10% inside the formula (0.10 × 0.10). The arithmetic treats 10% as the standard deviation. If a question gives you a standard deviation, square it; if it genuinely gives a variance, do not square it again.
  • Compare utility with the risk-free rate, not with zero and not with the expected return.
  • Higher A means a bigger penalty. A risk-averse investor has a high index, not a low one.
  • Keep units consistent. Use 0.5 with decimals (0.15, 0.10) or 0.005 with whole-number percentages (15, 10) — mixing them gives answers off by a factor of 100.
  • Utility is investor-specific; the Sharpe ratio is not. That contrast is itself examinable.

Where this is taught

Free preparation for NISM Series XXI-B

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