Portfolio Construction: Asset Mix, Risk, Diversification, Pricing Models, and Management Techniques

Chapter 6 explains how portfolio decisions are made after KYC information has already been gathered. The curriculum moves from asset allocation and rebalancing into risk measurement, diversification, hedging, optimization logic, pricing models, and active versus passive management techniques. The chapter is therefore about portfolio design, not just security selection.

Strong exam answers in this chapter usually move in a clear sequence. First identify the client’s objective, risk capacity, time horizon, and implementation constraints. Next choose the allocation, risk measure, or management technique that actually addresses that problem. Then explain the trade-offs, including cost, concentration, model limits, and behavioural discipline.

Students should study this chapter as applied judgment rather than abstract theory. A formula or model name is rarely enough on its own. The strongest response explains what the concept means in a portfolio decision, what it leaves out, and why it is or is not appropriate for the scenario.

This chapter also rewards candidates who separate precision from usefulness. A portfolio model can produce an elegant answer while still being weak if it ignores liquidity needs, tax friction, implementation cost, concentration, or the client’s likely behaviour under stress. The stronger response keeps the math and the client reality connected.

Chapter snapshot

What this chapter is really testing

This chapter is testing whether you can turn portfolio concepts into workable retail advice. Stronger answers usually:

1. identify the client’s real objective, risk capacity, horizon, and implementation limits
2. choose the allocation, risk measure, or management technique that actually addresses that problem
3. explain the trade-offs, including diversification, concentration, cost, and behavioural implications

How to study this chapter well

• study portfolio concepts as decision tools instead of as theory labels
• compare active, passive, allocation, rebalancing, and risk-model choices by when they are useful
• keep concentration, liquidity, tax, and behaviour visible whenever a model looks elegant
• ask whether the concept improves the plan or only makes the explanation more technical

What stronger answers usually do

• start with the client before the model
• connect allocation and risk tools to actual implementation choices
• choose usefulness over theoretical neatness when the facts require it

In this section

• Asset Allocation, Asset Mix Selection, Tactical Shifts, and Rebalancing Costs
  Choose strategic and tactical asset mixes, judge rebalancing triggers, and explain how cost and client constraints affect allocation discipline.
• Investment Risk Types, Volatility Metrics, Beta, Factor Exposure, and Drawdown
  Match major investment risks to the right measurement lens and explain when volatility, beta, factor exposure, or drawdown best describes the problem.
• Diversification, Hedging, Short Selling, and Margin Implications in Portfolio Risk Management
  Apply diversification and hedging concepts, explain short-selling risk, and assess high-level margin, cash-flow, and stress-correlation effects in portfolio risk management.
• Mean-Variance Thinking, Concentration Risk, and Portfolio Optimization Concepts
  Study modern portfolio theory, efficient diversification, concentration risk, and the conceptual role and limits of Black-Litterman and Monte Carlo in portfolio construction.
• CAPM, Factor Models, Expected Return Inputs, and Efficient Markets Implications
  Use CAPM and factor models as return frameworks, then judge where model limits and efficient-markets logic affect portfolio style decisions.
• Active and Passive Equity and Fixed-Income Management Techniques
  Compare active and passive equity and fixed-income methods, including benchmark fit, tracking error, and implementation trade-offs.