CFA Quantitative Methods
Past Questions

20+ verified Quantitative Methods past questions for CFA. Step-by-step worked answers in 5 Nigerian languages.

Quantitative Methods topics (2)

Sample Quantitative Methods past questions

1. Time value of money implies:

  • A. Money grows over time at interest
  • B. Money loses utility
  • C. Time = money is false
  • D. Cash is worthless

Answer: A

2. Standard deviation measures:

  • A. Mean
  • B. Dispersion
  • C. Skew only
  • D. Mode

Answer: B

AI Explanation

**The reasoning** Standard deviation tells you **how spread out** your data is from the average (mean). That's what "dispersion" means—the scatter or variability in your dataset. Imagine two classes both scored an average of 60% in a test. In Class A, most students got between 55-65%. In Class B, scores ranged from 20-95%. Both have the same mean, but Class B has much **higher dispersion**—the scores are scattered far from the average. Standard deviation would be small for Class A and large for Class B. The formula √[Σ(x - x̄)²/n] literally measures how far each value (x) deviates from the mean (x̄), then averages those deviations. It's a **dispersion measure**, pure and simple. **Why the wrong options tempt you** - **A (Mean)**: You might confuse this because standard deviation *uses* the mean in its calculation, but it doesn't measure the mean itself. - **C (Skew only)**: Skewness is different—it measures asymmetry, not spread. - **D (Mode)**: Mode is the most frequent value; totally unrelated. **Quick takeaway** Standard deviation = how scattered your data is around the average—always remember: **dispersion = spread**.

3. The present value of money decreases as the discount rate:

  • A. Decreases
  • B. Increases
  • C. Stays constant
  • D. Becomes zero

Answer: B

4. The future value of money increases with a higher:

  • A. Time only
  • B. Interest rate
  • C. Inflation only
  • D. Risk-free of zero

Answer: B

5. A higher correlation coefficient (closer to 1) means a ___ linear relationship.

  • A. weaker
  • B. stronger
  • C. negative
  • D. random

Answer: B

6. Compounding more frequently ___ the effective annual rate.

  • A. lowers
  • B. raises
  • C. removes
  • D. fixes

Answer: B

7. The time-value-of-money concept states that:

  • A. Future money is worth more than present money
  • B. Money received now is worth more than the same amount in the future
  • C. Money is constant in value
  • D. Inflation does not matter

Answer: B

AI Explanation

TVM core principle: $1 today > $1 tomorrow due to earning potential and inflation.

8. PV of $100 received in 1 year at 10% discount rate:

  • A. $110.00
  • B. $90.91
  • C. $100.00
  • D. $95.00

Answer: B

AI Explanation

PV = FV/(1+r)^n = 100/1.10 ≈ $90.91.

9. Effective annual rate of 12% compounded monthly is approximately:

  • A. 12.00%
  • B. 12.68%
  • C. 13.00%
  • D. 10.00%

Answer: B

AI Explanation

EAR = (1 + 0.12/12)^12 − 1 ≈ 12.68%.

10. Correlation coefficient ranges from:

  • A. 0 to 1
  • B. −1 to +1
  • C. −10 to 10
  • D. 0 to 100

Answer: B

AI Explanation

Correlation: −1 (perfect inverse), 0 (no relationship), +1 (perfect positive).

11. A null hypothesis (H₀) is typically:

  • A. What the researcher is trying to prove
  • B. The default assumption to be tested (no effect/no difference)
  • C. Always false
  • D. Always true

Answer: B

AI Explanation

H₀ states the no-effect/no-difference baseline; analyst tries to find evidence to reject it.

12. If p-value is 0.03 and significance level α = 0.05, we should:

  • A. Fail to reject H₀
  • B. Reject H₀ (significant at the 5% level)
  • C. Accept H₀ definitively
  • D. Test again

Answer: B

AI Explanation

p-value (0.03) < α (0.05) → reject H₀. Note: 'reject' doesn't mean 'prove false', just statistically significant.

13. Skewness in a return distribution measures:

  • A. Sample size
  • B. Asymmetry — left or right tail extension
  • C. Mean
  • D. Variance

Answer: B

AI Explanation

Positive skew = long right tail; negative skew = long left tail. Affects risk perception.

14. Kurtosis measures:

  • A. Symmetry
  • B. Tail thickness / extreme-value frequency
  • C. Average
  • D. Median

Answer: B

AI Explanation

Kurtosis describes tail risk. High kurtosis (leptokurtic) = fatter tails = more extreme outcomes.

15. A 95% confidence interval means:

  • A. The estimate is 95% accurate
  • B. If we repeated sampling many times, ~95% of CIs would contain the true parameter
  • C. There's 95% chance of error
  • D. 5% of the data is included

Answer: B

AI Explanation

Strict CI interpretation — relates to repeated-sampling coverage rate, not the probability the parameter lies in any single CI.

16. Annualised return of 1% per month is approximately:

  • A. 12%
  • B. 12.68%
  • C. 14%
  • D. 10%

Answer: B

AI Explanation

Compounded: (1.01)^12 − 1 ≈ 12.68%.

17. NPV decision rule:

  • A. Reject if NPV > 0
  • B. Accept if NPV > 0
  • C. Reject if NPV = 0
  • D. Always accept

Answer: B

AI Explanation

Positive NPV adds value to shareholders → accept the project.

18. IRR is the discount rate at which:

  • A. NPV = 1
  • B. NPV = 0
  • C. PV = FV
  • D. Profit = revenue

Answer: B

AI Explanation

IRR is the rate making NPV exactly zero. Accept if IRR > required rate of return.

19. Geometric mean is preferred over arithmetic mean for:

  • A. One-period return
  • B. Multi-period (compounding) return calculations
  • C. Cross-section data only
  • D. Forecasting

Answer: B

AI Explanation

Geometric mean accurately captures compounded growth over multiple periods; arithmetic mean overstates true CAGR.

20. The Sharpe ratio measures:

  • A. Tax efficiency
  • B. Excess return per unit of total risk (standard deviation)
  • C. Beta
  • D. Tracking error

Answer: B

AI Explanation

Sharpe Ratio = (Rp − Rf) / σp. Higher = better risk-adjusted return.

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