Portfolio Theory
Chapter: 5.5 Portfolio Theory Difficulty Level: 1 — Recognition (MCQ, Matching, True/False with justification) Time Limit: 20 minutes Total Marks: 30
Section A — Multiple Choice (1 mark each, 10 marks)
Choose the single best answer.
Q1. Diversification primarily reduces which type of risk? A) Systematic risk B) Unsystematic (specific) risk C) Market risk D) Interest-rate risk
Q2. The correlation coefficient between two assets can take values in the range: A) to B) to C) to D) to
Q3. In the CAPM equation , the term is called the: A) Risk-free rate B) Market risk premium C) Alpha D) Beta premium
Q4. The Sharpe ratio is defined as: A) B) C) D)
Q5. A stock with is expected to: A) Move independently of the market B) Move in the opposite direction to the market C) Move in line with the market D) Have zero total risk
Q6. The efficient frontier represents portfolios that offer: A) The lowest return for a given risk B) The maximum return for a given level of risk C) Zero risk at all return levels D) Only fully diversified index funds
Q7. Which measure uses downside deviation rather than total standard deviation in its denominator? A) Sharpe ratio B) Treynor ratio C) Sortino ratio D) Alpha
Q8. The Treynor ratio measures excess return per unit of: A) Total risk B) Systematic risk (beta) C) Downside risk D) Tracking error
Q9. A positive Jensen's alpha indicates that a portfolio has: A) Underperformed its CAPM-predicted return B) Exactly matched its CAPM-predicted return C) Outperformed its CAPM-predicted return D) Zero beta
Q10. The Security Market Line (SML) plots expected return against: A) Standard deviation B) Beta C) Variance D) Sharpe ratio
Section B — Matching (1 mark each, 8 marks)
Match each term (Q11–Q18) to its correct description (i–viii).
| Term | Description | |
|---|---|---|
| Q11. Covariance | (i) Reward per unit of total risk | |
| Q12. Systematic risk | (ii) Measures how two assets move together (unstandardised) | |
| Q13. Sharpe ratio | (iii) Cannot be diversified away | |
| Q14. Beta | (iv) The set of optimal risk-return portfolios | |
| Q15. Efficient frontier | (v) Sensitivity of an asset's return to the market | |
| Q16. Unsystematic risk | (vi) Excess return over CAPM prediction | |
| Q17. Alpha | (vii) Firm-specific, diversifiable risk | |
| Q18. Risk-free rate | (viii) Return with (theoretically) zero risk |
Section C — True / False with Justification (2 marks each, 12 marks)
State True or False (1 mark) and give a one-line justification (1 mark).
Q19. "Combining two assets with a correlation of produces diversification benefits."
Q20. "According to CAPM, in equilibrium a stock plotting above the SML is underpriced (offers more return than required)."
Q21. "The Markowitz mean-variance model assumes investors care only about expected return and variance of returns."
Q22. "A portfolio's total variance equals the simple weighted average of the individual asset variances, regardless of correlation."
Q23. "The Sortino ratio will always be lower than the Sharpe ratio for the same portfolio."
Q24. "A well-diversified portfolio can eliminate systematic risk entirely."
Answer keyMark scheme & solutions
Section A (10 marks)
Q1 — B. Diversification cancels firm-specific shocks; systematic risk remains. (1)
Q2 — C. Correlation is standardised covariance, bounded in . (1)
Q3 — B. is the market risk premium; multiplied by gives the asset's premium. (1)
Q4 — B. Sharpe = excess return total risk . (1)
Q5 — C. means the stock moves one-for-one with the market. (1)
Q6 — B. Efficient frontier = max return per unit risk (upper edge of feasible set). (1)
Q7 — C. Sortino uses downside deviation only. (1)
Q8 — B. Treynor divides excess return by beta (systematic risk). (1)
Q9 — C. Positive alpha = return exceeds CAPM benchmark → outperformance. (1)
Q10 — B. SML: expected return vs. beta (unlike CML, which uses ). (1)
Section B (8 marks — 1 each)
| Q | Answer |
|---|---|
| Q11 Covariance | (ii) unstandardised co-movement |
| Q12 Systematic risk | (iii) cannot be diversified away |
| Q13 Sharpe ratio | (i) reward per unit total risk |
| Q14 Beta | (v) sensitivity to market |
| Q15 Efficient frontier | (iv) set of optimal portfolios |
| Q16 Unsystematic risk | (vii) firm-specific, diversifiable |
| Q17 Alpha | (vi) excess return over CAPM |
| Q18 Risk-free rate | (viii) zero-risk return |
Section C (12 marks)
Q19 — False (1). Justification (1): With assets move perfectly together; portfolio risk is just the weighted average of standard deviations — no reduction, hence no diversification benefit.
Q20 — True (1). Justification (1): Above the SML means actual expected return > required return for its beta, so the stock is undervalued and will be bid up.
Q21 — True (1). Justification (1): Markowitz mean-variance framework characterises each portfolio solely by mean (return) and variance (risk).
Q22 — False (1). Justification (1): Portfolio variance includes the covariance term; only equals the weighted average of variances in a degenerate case.
Q23 — False (1). Justification (1): Sortino's denominator (downside deviation) is usually smaller than total , so Sortino is typically higher, not lower.
Q24 — False (1). Justification (1): Diversification removes unsystematic risk only; systematic (market) risk cannot be eliminated.
[
{"claim":"Two assets rho=+1, w=0.5 each: portfolio sigma equals weighted average of sigmas (no diversification)", "code":"w1,w2=Rational(1,2),Rational(1,2)\ns1,s2=Rational(20,100),Rational(30,100)\nrho=1\nvar=w1**2*s1**2+w2**2*s2**2+2*w1*w2*rho*s1*s2\nsig=sqrt(var)\nweighted_avg=w1*s1+w2*s2\nresult=simplify(sig-weighted_avg)==0"},
{"claim":"Portfolio variance with rho<1 is less than weighted-average-of-variances degenerate assumption (Q22 false)", "code":"w1,w2=Rational(1,2),Rational(1,2)\ns1,s2=Rational(20,100),Rational(30,100)\nrho=Rational(1,5)\nvar_true=w1**2*s1**2+w2**2*s2**2+2*w1*w2*rho*s1*s2\nvar_wrong=w1*s1**2+w2*s2**2\nresult=var_true!=var_wrong"},
{"claim":"CAPM: Rf=5%, beta=1.2, market return=12% gives expected return 13.4%", "code":"Rf=Rational(5,100)\nbeta=Rational(12,10)\nRm=Rational(12,100)\nEr=Rf+beta*(Rm-Rf)\nresult=Er==Rational(134,1000)"},
{"claim":"Sharpe ratio: Rp=15%, Rf=5%, sigma=20% equals 0.5", "code":"Rp=Rational(15,100)\nRf=Rational(5,100)\nsigma=Rational(20,100)\nsharpe=(Rp-Rf)/sigma\nresult=sharpe==Rational(1,2)"}
]