The Black–Litterman model combines market-implied equilibrium expected returns with a manager’s specific views about selected assets or markets. The strength of those views can be weighted according to the manager’s confidence. Option B is correct.
Traditional mean-variance optimization can produce unstable or extreme portfolio weights because small changes in expected-return assumptions can create very large changes in the recommended allocation. Black–Litterman begins with a market-equilibrium framework and then adjusts it using the manager’s views, often producing more diversified and intuitive portfolios.
The model does not replace diversification with concentration and does not guarantee outperformance. Its result depends on assumptions about market capitalization, risk aversion, covariance, the accuracy of the manager’s views and confidence levels. Incorrect assumptions can still produce poor allocations. Option D concerns fixed-income yield calculation and is unrelated to portfolio optimization.
The model is a decision framework rather than a substitute for KYC, suitability or professional judgment. Portfolio constraints, liquidity, taxes, costs and the client’s risk profile remain necessary inputs.
The CIRO Retail Securities syllabus includes the Black–Litterman model, modern portfolio theory, Monte Carlo simulation, efficient diversification and asset-pricing models within the portfolio-construction domain.
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