Intensive item-set exercises testing top-down and bottom-up equity valuation approaches, advanced industry classification, macroeconomic impacts, Porter’s Five Forces, and strategic ratio analysis for nuanced sector and company insights.
If you’ve reached this chapter, you’re probably gearing up for that final push: pulling multiple analytical threads together and applying them in item-set questions under exam-like conditions. It’s that moment you realize how many moving parts exist in equity analysis—macroeconomic forces, industry classifications, ratio and trend analysis, you name it. At Level II, the tasks are more intricate than a simple one-step valuation. You’ll be asked to consider the interplay between broad economic indicators and highly specific company fundamentals. It’s like peeling an onion: every layer you uncover reveals another dimension to analyze.
This section is designed to equip you with intense practice drills focused on industry and company analysis. We’ll use a top-down approach (analyzing macro factors, then zooming into industries, and finally companies) and a bottom-up approach (evaluating company fundamentals first and only then broadening out to industry and macro contexts). We’ll also incorporate GICS, Porter’s Five Forces, ratio analysis, and a host of scenario-based stressors. By testing your analytical agility in multiple directions, you’ll strengthen the skills needed to address the varied item-set questions you’re bound to encounter.
In prior chapters (notably Chapter 4: “Industry and Company Analysis—Foundations” and Chapter 20: “Industry and Competitive Analysis—Deep Dive”), we explored the fundamentals of categorizing industries and evaluating competitive advantages. Now, we put all of that into practice through exam-style drills. Typically, a vignette on the CFA exam integrates both macro-level data—like GDP growth or interest rate forecasts—and micro-level data—like a company’s financial statements or a CEO’s strategic commentary. You might see incomplete footnotes, or maybe a mention of pending regulatory changes. Be ready for partial or ambiguous data, because real-world equity analysis isn’t always neatly packaged.
Sometimes you’ll see conflicting signals: for example, robust sales growth but a disturbing increase in labor costs. The challenge is to sort through that data, decide what’s material, and then answer the question asked—often under time pressure. It’s easy to get sidetracked analyzing background details that might not matter for the final conclusion. So part of this chapter’s focus is on honing your ability to read a scenario quickly, extract relevant information, and match it to the direct question prompts.
The Global Industry Classification Standard (GICS) offers a standardized way of segmenting public companies into major sectors, industries, and sub-industries. This classification is invaluable when comparing companies within the same peer group or benchmarking sector performance. For instance, under GICS, you may group consumer discretionary (often cyclical: think cars, luxury goods) separately from consumer staples (often defensive, like household products).
• Cyclical industries, such as automotive or travel, are heavily influenced by economic cycles. Their revenues and margins often expand when the economy is growing and contract when the economy slows.
• Defensive (or non-cyclical) industries, such as utilities or consumer staples, tend to remain steadier through economic ups and downs. Demand is more consistent because these products or services are deemed essential (food, electricity, etc.).
In exam item sets, watch how macroeconomic data—maybe a central bank’s interest rate decision or rising unemployment—could shift the fortunes of cyclical vs. non-cyclical sectors.
We all learned the basics: threat of new entrants, threat of substitutes, bargaining power of suppliers, bargaining power of buyers, and intensity of rivalry. But layered on top of that can be global expansions, technology disruptions, or shifting trade policies. For example, in the pharmaceutical industry, buyer power might spike if governments impose price controls, or new entrants might be stifled by the high cost of obtaining regulatory approvals. CFA exam vignettes may test your ability to adapt the original Five Forces framework to specific, evolving real-world contexts.
• Top-Down: You start from the macro environment, zero in on industries best positioned to thrive, and finally select specific companies within those industries.
• Bottom-Up: You look for outstanding companies regardless of broader sector or economic conditions. Only after you identify strong corporate fundamentals do you cross-check industry dynamics and macro indicators.
In practice, both methods can be combined. For instance, you might have a top-down sense that e-commerce is on the rise, then do bottom-up screening to find the best e-commerce player with attractive valuation metrics.
It’s rarely black and white out there. A company might be winning market share (great sign!) but simultaneously locked in a margin-destroying price war (ouch!). Sales volumes can climb while selling, general, and administrative (SG&A) expenses blow up the cost structure. The key is to evaluate each data point’s magnitude and direction. Are cost pressures fleeting or structural? Is the revenue growth sustainable or a one-time shot from a newly released product? In the exam item-set environment, carefully weigh competing data, note relevant footnotes, and look to the specific question to guide your final recommendation.
Below are some structured drills and examples. Let’s briefly outline the steps you’ll usually take:
I once got burned by not reading a footnote about a shift from operating leases to financing leases. It completely changed the debt-to-equity ratio. I spent way too long scanning the question for “missing info,” but it was right there in small print. So do yourself a favor—scan footnotes, disclaimers, and management commentary in your exam vignettes before you finalize any ratio calculations. This can be the difference between a correct answer and a near miss.
Here’s a mermaid diagram illustrating the flow of a combined top-down and bottom-up approach:
flowchart LR A["Macro Analysis<br/>GDP, Interest Rates, Inflation"] --> B["Industry Selection<br/>GICS, Cyclical vs. Non-Cyclical"] B --> C["Company Screening<br/>Financials, Ratios, Management"] C --> D["Final Decision<br/>Buy/Hold/Sell"] A --> C
Notice how macro analysis can flow directly to industry selection (the pure top-down route), but it can also feed into company screening if you start from a bottom-up perspective and then double-check macro conditions.
A corporate vignette might show that the target company’s profits are highly sensitive to oil prices. You see partially improved macro data: stable GDP, moderate inflation. But the question states that global supply constraints could drive up oil prices. Instead of focusing solely on the stable macro data, highlight how the prospective rise in commodity prices could severely impact this specific firm’s cost structure. Possibly, it’s a petrochemical company or an airline. For an airline, higher fuel costs might squeeze margins. For a petrochemical firm, it might actually boost sales if they produce essential inputs. The key is to apply the scenario’s data to the firm’s unique position in the value chain.
Let’s say a new policy mandates stricter environmental standards for heavy polluters. If you’re analyzing a steel company, you might see capital expenditures jump dramatically to meet new requirements, which could hamper near-term free cash flow. Meanwhile, specialized firms that offer eco-friendly solutions might thrive. So watch for references to R&D or capital improvement lines in the financial statements. This is a prime example of weaving in both qualitative signals (the policy change) and quantitative data (capex budgets).
A classic example is the shift to electric vehicles in the auto industry. Traditional automakers with large internal-combustion-engine footprints might face a costly pivot, while nimble entrants focusing on electric drivetrains can eat away at market share. Yes, you might see large incumbents with robust balance sheets, but also massive legacy costs. The exam question could ask, “Which firm is best positioned for a favorable market re-rating over the next five years?” and your analysis should weigh intangible brand equity, R&D pipelines, and the cost structure for retooling factories.
During your item-set exercises, you might be asked to compute or interpret:
• Gross, operating, and net profit margins.
• Asset turnover and inventory turnover.
• Leverage ratios (debt-to-equity, interest coverage).
• Growth rates in earnings, sales, or free cash flow.
Keep an eye out for any hints that these metrics aren’t strictly comparable across companies due to accounting differences (e.g., one uses LIFO inventory accounting, the other uses FIFO; or one expenses R&D, the other capitalizes it under IFRS in certain circumstances).
Company | Gross Margin | Net Margin | Debt/Equity | 5-Year EPS Growth |
---|---|---|---|---|
AutoMaker A | 22% | 5% | 1.2 | 2% |
AutoMaker B | 18% | 3% | 0.8 | 5% |
EV Specialist | 25% | 7% | 0.5 | 12% |
In a hypothetical vignette, you could note that “AutoMaker A” has a higher gross margin than B, but also a heavier debt load, which might be riskier if interest rates rise or if sales slow. Meanwhile, the “EV Specialist” has promising growth but invests heavily in R&D. The question might be: “Which auto company is most likely to maintain stable profitability if interest rates rise by 2% next year?” You’d have to factor in the debt/equity ratio, the effect on interest coverage, and the potential resilience of EV demand.
• Scan the entire vignette first. Quickly note major themes (macro data, industry classification, financials, management commentary).
• Identify the actual question asked before doing any math. Stop, read the question prompt thoroughly. If it’s “Which company has the strongest competitive moat?” you’ll want to focus on brand, patent position, or intangible assets—maybe not get lost in lesser details.
• Jot down formulas or key numbers as soon as you see them, so you don’t have to hunt for them later.
• If a question looks too involved, skip it and return after addressing quicker items. Don’t let one complicated ratio analysis question consume a disproportionate chunk of your time.
• Watch out for footnote references, especially any that reclassify expenses or mention a currency mismatch.
• Keep an eye on your watch. If your approach is methodical, you can budget your time effectively across all item sets.
Imagine a short snippet like this: “Zwitek Foods (a domestic consumer staples firm) reported a 15% YoY increase in revenue driven largely by a spike in short-term promotional activities. However, its SG&A expenses rose by 18%, compressing the operating margin. Meanwhile, new entrants in the specialty organic market have begun luring away Zwitek’s top customers with subscription-based monthly food deliveries. Global GDP growth is currently 3%, and the central bank is expected to lower interest rates by 50 bps. Which factor poses the greatest risk to Zwitek’s margin expansion strategy over the next year?”
You’d weigh:
• Revenue growth is from promotions—potentially temporary.
• Elevated SG&A costs.
• Fierce competition from new entrants.
• Potential offset from lower interest rates (might help with borrowing for expansions).
You might identify that competition from new subscription services is a structural threat to market share that could hamper long-term margins more than short-term interest rate moves. That’s the type of synthesis these item sets demand.
flowchart TB A["Threat of New Entrants<br/>(Barriers, Capital Requirements)"] --> C["Industry Competitiveness"] B["Threat of Substitutes<br/>(Alternative Products/Services)"] --> C D["Bargaining Power of Buyers<br/>(Concentrated vs. Fragmented)"] --> C E["Bargaining Power of Suppliers<br/>(Commodity vs. Specialized)"] --> C F["Rivalry Among Existing Firms<br/>(Price Wars, Brand Loyalty)"] --> C
In a global context, you might add details such as trade tariffs, cross-border supply chains, or technology leaps fueling new substitutes.
You might recall that feeling when you read a vignette with a flurry of data and you’re not sure where to start—don’t panic. A systematic approach helps: define the macro environment, place the firm in an industry context, do a quick ratio check, and see if the bottom-line story matches the question’s angle. And please, never forget those pesky footnotes; sometimes they contain the one clue that changes an entire conclusion.
Keep practicing; over time, you’ll intuitively spot the key signals and avoid the tempting rabbit holes. Aim to do timed exercises under test-like conditions. That means no excessive note-taking, no open books, just you, your calculator, and your wits. It may sound old-fashioned, but it’s the closest you’ll get to the real exam vibe.
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