Explore how to balance an investor’s capacity for financial risk with their emotional comfort level, and set suitable return objectives for effective portfolio management.
Figuring out how much risk to take and what kind of return you’re aiming for are two of the biggest questions in portfolio management. After all, you might dream of earning double-digit returns every year, but if seeing your account balance drop by 20% in a bear market makes you lose sleep, your ideal strategy will look very different than someone who is happy to ride out volatile swings. This section focuses on balancing investors’ capacity for financial risk—influenced by wealth levels, time horizons, and economic realities—and their willingness to accept risk, which is influenced by personal comfort with uncertainty, emotional resilience, and past investment experiences.
In the CFA curriculum, risk and return objectives are essential in forming the Investment Policy Statement (IPS). Your risk objective determines how aggressively or conservatively you choose and weight asset classes, while your return objective sets the bar for what you hope to achieve over time, either in absolute or relative terms.
When it comes to building a portfolio, it’s helpful to think of risk tolerance as two separate but related considerations:
• Ability to Take Risk (Risk Capacity)
• Willingness to Take Risk (Risk Tolerance)
And, of course, neither of these mean much without a clearly stated return objective. Let’s explore these dimensions in more detail.
Your “ability” to take risk refers to the objective financial capacity to accept downside fluctuations without jeopardizing important goals. When I was helping a family friend manage her retirement account, she had more than enough wealth, a stable pension, and a 20-year runway. Simply put, she had a high capacity to absorb short-term losses because she wouldn’t need the money for quite a while. Conversely, imagine someone who’s just a few years from retirement with minimal financial reserves; that person can’t afford a steep portfolio decline.
Key factors that shape ability to take risk:
• Net Worth and Income Stability: Larger net worth and steady cash flows (like stable salaries or annuities) typically increase risk capacity.
• Time Horizon: The longer the investment horizon, the more time there is to recover from market downturns.
• Liquidity Requirements: If you need frequent withdrawals, you have less tolerance for large swings because you might be forced to sell assets at depressed prices.
• Goals and Liabilities: High future obligations or short-term spending needs reduce the capacity for risk.
A good way to visualize the interplay of “Ability” and “Willingness” is with a simple diagram:
graph LR A["Ability to Take Risk <br/> (Objective Factors)"] --> C["Overall Risk Tolerance"] B["Willingness to Take Risk <br/> (Subjective Factors)"] --> C["Overall Risk Tolerance"]
Even if you have a strong financial foundation (Node A), you may still end up with a low overall risk tolerance unless you also have the subjective comfort level for it (Node B).
Willingness to take risk, or subjective risk tolerance, revolves around how comfortable an investor feels with the possibility of losing money. In one of my earliest roles, I worked with an entrepreneur who had recently sold a successful start-up. He had plenty of financial means (meaning high ability), but after weathering the ups and downs of building his business, he felt quite uneasy seeing a portfolio decline more than 5%. Because of that emotional reaction to market swings, we dialed down the portfolio’s equity exposure even though purely from a wealth standpoint, he could have afforded more risk.
Indicators of willingness to take risk:
• Past Investment Experience: Investors who have been through several market cycles might be more comfortable with volatility—unless prior losses were traumatic.
• Psychological Profile: Tools like questionnaires can gauge comfort with hypothetical scenarios (e.g. “How would you react if your portfolio value dropped by 15% in a quarter?”).
• Behavioral Biases: Overconfidence, loss aversion, regret minimization, and other common biases, discussed in Chapter 5, shape how individuals perceive and endure risk.
When building an IPS, you combine both dimensions—ability and willingness—and ultimately adopt the more conservative stance between the two. If an investor has moderate capacity but a very low psychological tolerance, the final risk level should reflect that lower threshold to preserve peace of mind. Conversely, if someone has only a modest ability to endure losses but wants to chase big returns by adopting higher risk investments, it’s important to realign expectations or encourage a more realistic approach so they don’t jeopardize their financial goals.
Here’s a mental exercise: Suppose you have a large equity allocation in an attempt to “beat the market,” but your investor panics and sells at the first sign of trouble. That mismatch between high risk and low willingness to accept volatility can be disastrous for performance. Clear, upfront communication about risk tolerance helps avoid such pitfalls.
Once you pin down risk tolerance, the next step is to state a desired or required return. Return objectives can be wrapped around tangible goals—like funding a child’s education or achieving a certain level of retirement income—or around intangible targets, like simply “beating the market.”
Common forms of stated return objectives:
• Absolute Return Objective: A target that doesn’t rely on comparing performance to an index. For example, “Aim for an annualized 5% real return” or “Generate an annual income of $50,000.”
• Relative Return Objective: A performance benchmark relative to an index or peers. For instance, “Outperform the S&P 500 by 2% per year” or “Achieve returns in the top quartile of our peer group.”
We all know that in finance, expected returns generally increase with risk, but not always proportionally. That means if you aim for a higher return, be prepared for bigger potential drawdowns. Mathematically, you might see the expected return concept as:
$$ E(R_p) = \sum_{i=1}^{n} w_i , E(R_i) $$
where \( w_i \) represents the portfolio investment weights, and \( E(R_i) \) is the expected return of each asset. The higher each \( E(R_i) \), the more volatility your portfolio may carry, especially if those assets correlate with each other significantly.
For certain institutional investors, like endowments or pension plans, return objectives might be geared toward sustaining a specific spending target:
• An endowment might need a 5% real return to cover annual scholarships and operational costs—plus inflation.
• A pension plan might aim for 7% nominal returns to stay properly funded, factoring in the discount rate used for liabilities.
Of course, how feasible these targets are depends on both the institution’s willingness to bear volatility (board and stakeholder attitudes) and, crucially, its long-term financial status or “unconditional ability” to take risk.
Your time horizon is basically how long until you need the money. Investors with long horizons (think 30-year-old saving for retirement) can often handle more short-term volatility than someone nearing retirement. Generally, the longer the time horizon, the more risk capacity you have, which can allow for a higher return objective.
That said, there can still be constraints—like near-term liquidity needs or legal obligations—limiting how long you can keep money locked up. Time horizon also influences the type of return objective you set. Certain return targets might be more realistic when spread out over 15+ years versus trying to achieve them in a 3- to 5-year timeframe.
• Overestimating Willingness: Some folks imagine they are comfortable with high volatility. Then the first 10% drawdown arrives, and they bail.
• Underestimating Ability: This can lead to overly conservative portfolios that fail to meet long-term objectives (e.g., trailing inflation and losing purchasing power).
• Conflicting Goals: Wanting 10% annual returns but unwilling to endure losses. This mismatch either requires adjusting the expectation or accepting higher volatility.
• Neglecting Time Horizon Shifts: As people get closer to large expenses or retirement, their capacity for risk often drops, requiring updated allocations.
Two real-life examples to illustrate these concepts:
• Retiree with Modest Savings
• Mid-Career Professional with High Salary
Risk and return objectives aren’t set in stone. Life events—like marriage, inheritance, job loss, or a sudden windfall—can shift your financial picture significantly. Likewise, macroeconomic changes can affect the range of feasible returns. Let’s say you set a 7% long-term target during a period of high interest rates. If interest rates plunge, you might have to accept more market risk to hit that same target. Revisiting the IPS annually or after major life/market events helps keep things aligned.
• Align Risk Tolerance with Realistic Return Goals: This often avoids painful “sticker shock” if the portfolio experiences volatility.
• Communicate Thoroughly with Stakeholders: Whether it’s a board of directors or a family, everyone should understand the potential ups and downs.
• Use Scenario Analysis: Tools like Monte Carlo simulations (discussed later in Chapter 2.12) help show how different risk allocations might pan out under various market conditions.
• Document Everything: Written IPS guidelines ensure clarity and help maintain discipline when markets get heated—or scary.
• Keep Eye on Behavioral Biases: Overconfidence, herding, or panic selling can disrupt even well-planned strategies.
Below is a simplified step-by-step structure you might see in a real investment policy process:
Assess the Investor’s Constraints and Goals:
Evaluate Ability to Take Risk:
Determine Willingness to Take Risk:
State a Return Objective:
Finalize the Portfolio Allocation:
Ongoing Review and Adjustments:
One of the central ideas of portfolio theory is that you get compensated for bearing systematic risk. Suppose you want a higher expected return by tilting your portfolio towards equities over bonds. This tilt implies increased volatility and potential drawdowns. If you’re chasing a super-ambitious annual return target, you might have to stomach losing 20% or more during a severe market downturn. Recognizing this interplay upfront is a pillar of prudent portfolio management.
Defining risk and return objectives is the heart of effective portfolio planning. You can’t simply choose securities and hope for the best. You’ve got to understand the investor’s capacity and willingness to stomach volatility, and then shape a return target that meets real needs without pushing beyond psychological or financial comfort zones.
• Ensure you can articulate how an investor’s personal or institutional goals influence both risk capacity and desired returns.
• In scenario-based exam questions, watch for mismatches between the investor’s stated risk preference and the objective facts—like liquidity constraints or short time horizons.
• Know the difference between absolute and relative return targets, and be able to draft an IPS statement that includes both risk and return considerations.
• For item sets or constructed-response questions, apply a structured approach: first interpret the investor’s situation, then seamlessly connect it to a well-reasoned risk and return objective.
You’ve got this! The more carefully you consider both sides of the risk-tolerance coin, the more likely your portfolio recommendations will stand up in real-world markets—and on the CFA exam.
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