60 Series 86 & 87 Exam Concepts You Need to Know Before Test Day

Analysts classify economic indicators by timing relative to the business cycle. Leading indicators, such as building permits, new orders for capital goods, and consumer confidence, turn before the economy does, so they are your forecasting tools for industry demand. Coincident indicators, like industrial production and nonfarm payrolls, move with the cycle and confirm where you are today. Lagging indicators, such as the unemployment rate and corporate profits after tax, confirm what already happened. The practical move is to map each indicator to your covered industry: housing starts lead demand for building materials and appliances, while the unemployment rate lags and tells you little about next year's volumes.

Memory hook:Leading predicts, coincident confirms, lagging follows; permits and orders point forward, unemployment looks backward.

Fiscal policy works through government spending and taxation, directly injecting or withdrawing demand: stimulus checks lift retail sales, infrastructure spending lifts construction and materials. Monetary policy works through the central bank setting short-term rates and credit conditions, which transmit to an industry through borrowing costs, consumer credit availability, and the interest-sensitivity of its customers. Homebuilding is the classic example: rate cuts lower mortgage costs and revive demand, while fiscal programs like tax credits can pull purchases forward. The analyst's job is tracing the transmission channel, not just naming the policy. Ask which spending or rate mechanism actually reaches your companies, how quickly, and with what magnitude.

Memory hook:Fiscal is spending and taxes; monetary is rates and credit; trace the channel to the covered company's cash register.

Headline inflation includes everything in the basket, while core inflation strips out volatile food and energy to reveal the underlying trend; central banks lean on core when setting policy. CPI measures what consumers pay for a fixed basket of goods and services, so it drives wage negotiations, Social Security adjustments, and consumer purchasing power. PPI measures prices producers receive, which makes it an upstream signal: sustained PPI increases often pipeline into CPI months later. For an analyst covering consumer companies, CPI tells you whether customers are losing real purchasing power; for a manufacturer, PPI tells you whether input costs are about to compress margins. Watch the divergence between the two for margin direction.

Memory hook:Core strips food and energy; PPI feeds the pipeline that eventually hits CPI at the consumer's wallet.

Correlation measures the strength and direction of a linear relationship between two variables, running from negative one to positive one, but it says nothing about causation or magnitude of impact. Regression goes further: it estimates the equation that links an industry driver to an outcome, such as revenue equaling a constant plus a slope times housing starts. The slope tells you how much revenue moves per unit of the driver, and R-squared tells you what fraction of the variation the driver explains. Use these tools to confirm which macro variables actually matter for your covered industry. The classic trap is spurious correlation: two series trending upward together, like per capita cheese consumption and anything, proves nothing without an economic mechanism.

Memory hook:Correlation shows direction and strength; regression adds the slope; neither proves causation without an economic mechanism.

Before you forecast an industry, classify its trend. Secular trends are long-term structural shifts driven by demographics or technology, like an aging population lifting healthcare demand for a decade. Cyclical trends rise and fall with the economy, like autos and semiconductors, and mean-revert once the cycle turns. Industry-specific trends are idiosyncratic: a new regulation, a patent cliff, or a product supercycle affecting one sector regardless of the macro backdrop. The classification drives your forecast method: cyclical industries get mid-cycle normalization, secular growers get trend extrapolation. The costliest analytical error is mistaking a cyclical trough for secular decline and writing off a company that rebounds with GDP, or the reverse.

Memory hook:Secular is structural and long, cyclical follows GDP and reverts, industry-specific is idiosyncratic; misclassifying troughs as decline is the killer.

Capital intensity measures how much fixed investment is required per dollar of output. High capital intensity means high fixed costs and long lead times to add capacity, so the short-run supply curve is steep: small demand spikes produce big price moves until new capacity arrives, which can take years in industries like semiconductors or airlines. Low capital intensity means supply responds quickly and prices stay tame. Pricing flexibility is the other half: differentiated products with strong brands or switching costs can pass through cost increases, while commodity-like products must accept the market price. Combine the two and you can predict margin behavior: capital-intensive plus commodity pricing means boom-bust margins that swing violently with the cycle.

Memory hook:Heavy fixed capital makes supply steep and prices jumpy; differentiation lets a company pass costs through, commodity products cannot.

Intra-industry competition is rivalry among companies inside the sector: comparing like companies on cost position, market share, and capacity tells you who is positioned to win share. Inter-industry competition is substitution across sectors: railroads compete with trucking, streaming competes with cable, and the threat comes from outside the traditional peer set. Disruption risk sits at the intersection: an entrant with a new technology or business model can reprice the whole industry, which is why you assess the potential entry of competing companies and products, not just incumbents. The analyst's discipline is to define the market by the customer need being served, because that is where substitutes and disruptors actually attack.

Memory hook:Intra fights for share inside the sector; inter substitutes from outside; disruptors attack the customer need, not the peer list.

No industry operates alone. Peripheral sectors are the suppliers, customers, and adjacent industries whose health spills into yours: a covered automaker depends on semiconductor supply, steel pricing, and dealer financing, so a shortage two sectors away shuts its production line. Map the linkages both directions, upstream into input costs and downstream into customer demand, because a cost shock in a peripheral sector can arrive faster than any company response. Regulation is the other external force: it can raise compliance costs, cap prices, restrict entry, or, favorably, erect barriers that protect incumbents. When regulation changes, re-underwrite the whole industry cost curve rather than assuming the impact is one-time.

Memory hook:Map suppliers upstream and customers downstream; regulation either taxes the industry or fences out competitors.

The three statements are one system. Net income from the income statement flows into retained earnings on the balance sheet and starts the cash flow statement. The cash flow statement reconciles that accrual income to actual cash, and its ending cash balance must tie exactly to the balance sheet. Depreciation ties all three together: an expense on the income statement, an add-back in operating cash flow, and a reduction of accumulated depreciation on the balance sheet. Capex appears as investing outflow and builds the asset base that drives future depreciation. This linkage is how you model: forecast income statement items, roll them into the balance sheet, and let the cash flow statement force the balance sheet to balance.

Memory hook:Net income feeds retained earnings and starts the cash flow statement; ending cash must tie; depreciation shows up in all three.

Turnover ratios measure how efficiently working capital cycles. Receivables turnover equals sales divided by average receivables; invert it and multiply by 365 for days sales outstanding, the collection period. Inventory turnover equals cost of goods sold divided by average inventory, giving days inventory outstanding. Payables turnover uses purchases or cost of goods sold over average payables, giving days payables outstanding. The cash conversion cycle is DSO plus DIO minus DPO: days your cash is trapped between paying suppliers and collecting from customers. Shorter is better, and a negative cycle is the gold standard, where customers pay before suppliers are due, as some retailers and subscription businesses achieve. A lengthening cycle often signals channel stuffing or slowing demand.

Memory hook:Cash conversion cycle = DSO + DIO minus DPO; collect fast, hold inventory briefly, pay suppliers slowly.

In rising-price environments, LIFO charges the newest, most expensive units to cost of goods sold, so it reports lower gross margins and lower taxable income, which means lower cash taxes. FIFO leaves the cheap old units in inventory, producing higher reported margins, higher taxes, and a balance sheet that better reflects current replacement cost. LIFO also creates hidden reserves: the gap between the LIFO carrying value and current market value of old inventory layers, which can be released as a one-time margin boost if inventory is drawn down. Comparability is the exam favorite: a LIFO company and a FIFO company are not directly comparable without adjustment, and LIFO is permitted under U.S. GAAP but not under IFRS.

Memory hook:Rising prices: LIFO shows the worst margin but pays the least tax; the LIFO reserve hides the difference.

How a lease is classified changes the optics of leverage. A finance lease puts the asset and the full lease obligation on the balance sheet, so debt-to-equity and debt-to-capital rise, and the income statement front-loads interest expense, depressing early profits. An operating lease traditionally kept the obligation off the balance sheet, with a single straight-line rent expense, which understated leverage for companies that lease heavily, like airlines and retailers. Current U.S. GAAP requires most leases to be recognized on the balance sheet, which has narrowed the old loophole, but classification still shapes the income statement pattern and coverage ratios. When comparing peers, normalize for lease treatment before you conclude one company is more levered.

Memory hook:Finance lease puts the obligation on the balance sheet and front-loads interest; operating lease smooths expense and used to hide leverage.

A pension plan's funded status is the fair value of plan assets minus the projected benefit obligation. When that status is negative, the company carries an underfunded liability that behaves like offscreen debt. Earnings quality issues come from the assumptions and the smoothing: companies estimate an expected return on plan assets, and differences between expected and actual returns, along with actuarial gains and losses, are typically parked in other comprehensive income and amortized slowly into earnings. That smoothing lets management report steady pension income even when the plan loses money. Aggressive assumptions, like a high expected return or discount rate, shrink the liability and flatter earnings. Always read the footnote and re-run the numbers with conservative assumptions.

Memory hook:Funded status equals assets minus obligations; expected-return assumptions and OCI smoothing let pension income look steadier than reality.

Deferred taxes arise from temporary differences between book and tax accounting. A deferred tax liability appears when tax depreciation runs faster than book depreciation, meaning taxes are deferred to the future and will come due. A deferred tax asset appears when deductions or losses are usable later, like net operating loss carryforwards or accrued warranty reserves. Because DTAs are only worth something if you will generate future taxable income, GAAP requires a valuation allowance when realization is not more likely than not, which reduces the asset and hits earnings. Watch for the release: when a struggling company turns profitable and releases its allowance, reported earnings jump even though nothing operational changed, a classic earnings-quality flag.

Memory hook:Faster tax depreciation defers tax and builds a liability; loss carryforwards build an asset; allowance releases inflate earnings without operations changing.

Companies present adjusted figures to show what management calls underlying performance, but Regulation G sets the guardrails: any non-GAAP measure must be accompanied by the most directly comparable GAAP measure with equal or greater prominence, plus a reconciliation between the two. The analytical skill is judging the adjustments. Legitimate ones remove genuinely non-recurring items, like a divestiture gain. Red flags include restructuring charges that recur every year, adjustments that exclude ordinary stock-based compensation, revenue definitions that keep changing, and adjusted earnings that always exceed GAAP by a widening gap. If the spread between adjusted and GAAP results grows quarter after quarter, the adjustments are the story, not the business.

Memory hook:Reg G demands a GAAP comparison with equal prominence and a reconciliation; recurring one-time items are the red flag.

Mergers, acquisitions, divestitures, restructurings, and consolidations all break the continuity of historical financials. After an acquisition, revenue jumps because you bought a customer base, not because the business grew organically, so year-over-year comparisons mislead unless you separate organic growth from acquired growth. Divestitures do the reverse, shrinking the base and making trends look worse than the continuing operations really are. Restructurings create one-time charges and cost savings that muddy both history and run-rate margins. The discipline is to rebuild a comparable series: strip out one-time items, use pro forma figures where disclosed, and analyze the continuing business separately from the noise the corporate action created.

Memory hook:Mergers add revenue you bought, divestitures remove revenue you sold; rebuild a clean comparable series before judging trends.

Each margin level isolates a different cost bucket, which makes margin analysis a diagnostic tool. Gross margin equals sales minus cost of goods sold, divided by sales, and reflects pricing power and production costs. Pre-tax margin equals earnings before taxes divided by sales, and the gap between gross and pre-tax shows operating expenses, interest, and other items. Net margin equals net income divided by sales, and the gap between pre-tax and net isolates taxes. So when margins compress, locate the level: a falling gross margin means pricing or input costs, a widening gross-to-pre-tax gap means overhead or interest creep, and a pre-tax-to-net squeeze means the tax line moved. The location tells you which part of the story to investigate.

Memory hook:Gross margin tests pricing, the gap to pre-tax tests overhead and interest, the gap to net tests the taxman.

Return on equity equals net income divided by average shareholders' equity, but the DuPont decomposition reveals where the return actually comes from: ROE equals net profit margin times asset turnover times the equity multiplier, where the equity multiplier is total assets over equity. Margin shows pricing and cost control, turnover shows asset efficiency, and the multiplier shows leverage. Two companies can post identical ROEs with completely different risk profiles: one earns it operationally, the other by stacking debt on a thin equity base. That is why you never celebrate a rising ROE without checking whether the equity multiplier did the work, and why pairing ROE with return on assets exposes the leverage contribution.

Memory hook:DuPont: margin times turnover times equity multiplier; if the multiplier drives the ROE, leverage is doing the earning, not management.

Return on invested capital measures the operating profit a company earns on the capital shareholders and lenders have put into the business, typically after-tax operating profit divided by invested capital, meaning debt plus equity minus non-interest-bearing items. The weighted average cost of capital is the blended required return of those capital providers. The comparison is the value-creation test: when ROIC exceeds WACC, each dollar of new investment adds value, and growth is good. When ROIC falls below WACC, growth destroys value, because the company earns less on new projects than the capital costs to fund them. This is why two companies with identical growth rates can deserve very different valuations; the spread, not the growth, is what matters.

Memory hook:ROIC above WACC creates value; below it, growth just destroys money faster; the spread times invested capital is economic profit.

Capital structure is the mix of debt and equity funding the business, and the details matter as much as the totals. Read the maturity schedule in the footnotes: a wall of debt coming due in one or two years creates refinancing risk, because the company must roll that debt at whatever rates and credit conditions exist then, not at the rates it originally borrowed. If rates have risen or the company's credit has weakened, refinancing can spike interest expense and crush earnings, or force asset sales or dilutive equity raises. Staggered maturities spread this risk out. Also check the composition: heavy reliance on short-term borrowings or floating-rate debt means rate hikes hit the income statement almost immediately.

Memory hook:Read the maturity wall in the footnotes; staggered maturities spread risk, a concentrated wall refinances at the worst possible moment.

The proxy statement is where governance quality becomes visible, and analysts read it for signals that financial statements alone cannot show. Look at board independence, whether the chairman and CEO roles are separated, director tenure and attendance, and whether directors hold meaningful equity stakes. Compensation design matters most: is executive pay tied to metrics that actually track long-term value creation, or to easily manipulated targets like revenue growth or adjusted EPS? Watch for related-party transactions, staggered boards, supermajority voting requirements, and poison pills that entrench management. A company with weak governance can look cheap on paper while insiders extract value or block changes that would unlock it. Strong governance supports the durability of the earnings you are valuing elsewhere in your model.

Memory hook:Proxy equals pay, board, and poison pill: read compensation design before trusting reported earnings.

The P/E ratio is price divided by earnings per share, but the choice of the E changes what the number means. Trailing P/E uses the last four reported quarters, so it is factual but backward-looking and can be distorted by one-time items. Forward P/E uses estimated EPS for the coming year or years, so it reflects expectations but inherits every error in the estimate. A stock can look expensive on trailing earnings and cheap on forward earnings if a recovery is expected, which is why analysts specify which basis they are using. The metric breaks down entirely when EPS is negative: a negative P/E is meaningless, not a bargain signal. In that case you shift to price-to-sales, price-to-book, or EV/EBITDA, which stay usable when the bottom line does not.

Memory hook:Trailing looks back, forward looks ahead, and negative earnings leave P/E with nothing to say.

Cyclical companies, such as steel producers, automakers, and semiconductor makers, swing from boom to bust, so a single year of earnings tells you where you are in the cycle, not what the business earns through it. Normalizing means estimating mid-cycle or trend-line earnings: the profit level the company generates at average industry utilization and average pricing over a full cycle. You then apply a normal multiple to those normal earnings to get a sensible value. The counterintuitive result is that cyclicals often look cheapest on P/E at the peak, when margins are unsustainably high, and most expensive at the trough, when reported losses inflate the multiple. A low P/E at a cyclical top can be a warning, not a buy signal, and the exam expects you to reason through that inversion.

Memory hook:Cyclicals look cheapest at the top: normalize to mid-cycle earnings before trusting the multiple.

The PEG ratio divides a stock's P/E by its expected earnings growth rate, typically expressed as a whole number, so a stock at 20 times earnings growing 20 percent has a PEG of 1.0. The idea is to adjust for the fact that faster growers deserve higher multiples, letting you compare companies with different growth profiles on a roughly level field. A PEG below 1.0 suggests you are paying less per unit of growth; above 1.0 suggests a premium. The trap sits in the growth input. If the growth rate is optimistic, the PEG flatters the stock; if the estimate is conservative, the stock looks expensive when it is not. The ratio also ignores risk, dividend yield, and how long the growth lasts, so it is a screening tool, not a standalone verdict.

Memory hook:PEG equals P/E over growth, and a bad growth guess makes a bad PEG look good.

Price-to-book compares market value to accounting equity, but the denominator has two versions and the difference matters. Stated book value is the equity shown on the balance sheet, which includes intangible assets such as goodwill from past acquisitions, trademarks, and capitalized software. Tangible book value strips all intangibles out, leaving physical and financial assets net of liabilities. For a bank or insurer, where stated book is mostly real financial assets, stated P/B is the standard gauge. For an acquisitive industrial loaded with goodwill, tangible book is the more conservative test of what shareholders would recover in a liquidation, and a stock trading near tangible book may have downside protection that stated P/B hides. The choice of denominator can change the multiple dramatically, so specify which one you are using.

Memory hook:Tangible book strips goodwill; stated book keeps it, and the acquirer's multiple depends on which you use.

Earnings yield is the inverse of the P/E: EPS divided by price, giving the earnings return per dollar of stock. Free cash flow yield is operating cash flow minus capital expenditures, divided by market value. When the two diverge, the gap tells you something about earnings quality. A high earnings yield with a weak FCF yield suggests earnings are not converting to cash, often because of heavy working capital build, rising receivables, or big capex programs; reported profits may be flattered by accruals. The reverse, strong FCF with weak earnings, can appear with heavy depreciation, which depresses net income but not cash generation. Analysts compare both yields against the risk-free rate to judge whether the stock compensates for its risk, and divergence between them is a flag to investigate before trusting the P/E.

Memory hook:Earnings yield is the P/E flipped; FCF yield reveals whether those earnings are real cash.

The Gordon growth model values a stock as the next expected dividend divided by the difference between the required return and the dividend growth rate: Value = D1 / (r - g). The critical constraint is that r must exceed g; if growth equals or exceeds the required return, the formula produces a meaningless or infinite value. The model also assumes the dividend grows at one constant rate forever, which fits mature, stable payers like utilities far better than young growth companies that pay nothing or fast growers whose payout will change over time. Small changes in g swing the answer sharply because it sits in the denominator, so the output is highly sensitive to a variable that is hard to estimate. Use it for stable dividend payers and treat the result as one input, not gospel.

Memory hook:Gordon equals D1 over r minus g, and the model dies when g meets r.

A discounted cash flow model estimates intrinsic value by projecting free cash flows, discounting them at the weighted average cost of capital, and adding a terminal value that captures all cash flows beyond the explicit forecast period. WACC blends the after-tax cost of debt with the cost of equity, weighted by the capital structure, so a more leveraged firm does not automatically get cheaper capital; the higher equity risk offsets the cheaper debt. Terminal value often dominates the answer, commonly estimated by dividing the final year's cash flow by WACC minus a perpetual growth rate, or by applying an exit multiple. Because small input changes move the output a lot, analysts run sensitivity tables, varying WACC and growth to see the value range. The lesson is that a DCF is a disciplined framework, not a precise number.

Memory hook:DCF equals forecast cash flows plus a terminal value that dwarfs everything, discounted at WACC.

Enterprise value multiples compare the whole company, debt plus equity, to measures of whole-company performance, which makes them cleaner for comparing firms with different capital structures and tax situations than P/E does. EV/EBITDA is the workhorse for capital-intensive businesses and leveraged companies because EBITDA ignores interest, taxes, and depreciation, so it is unaffected by financing choices and noncash charges. It is also central to merger analysis, since an acquirer taking on the debt can service it out of EBITDA. EV/Sales applies when EBITDA is negative or unreliable, such as early-stage or distressed companies, but it is a blunt tool: it ignores profitability entirely, so a low EV/Sales means little if margins are terrible. Match the multiple to the situation rather than defaulting to one.

Memory hook:EV multiples ignore the financing; use EV/EBITDA for leveraged firms and EV/Sales when even EBITDA fails.

Enterprise value is the total cost to buy the entire business: market capitalization plus total debt, minus cash and equivalents. Some analysts also add minority interest and pension underfunding, and subtract investments, depending on the comparability needed. The classic pitfalls come from sloppy adjustments. Using book value of debt instead of market value distorts EV when rates have moved. Forgetting operating leases, which sit on the balance sheet as liabilities, understates the debt of retailers and airlines. Cash should be subtracted because an acquirer effectively gets it back, but be careful with restricted cash or cash that operations genuinely need. If EV is wrong, every EV multiple built on it is wrong too, so the denominator errors propagate through the whole valuation comparison.

Memory hook:EV equals market cap plus debt minus cash; miss a lease and every multiple downstream lies.

Leverage and coverage ratios measure a company's capacity to carry its debt. Debt/EBITDA shows how many years of cash earnings it would take to retire the debt; the lower the number, the more comfortable the cushion, and lenders typically write covenants as maximums on this ratio, such as a ceiling of 4 or 5 times. Interest coverage, usually EBIT divided by interest expense, measures how easily operating profit pays the interest bill; a ratio near 1 means the company is barely covering its obligations. The two can diverge: a company with low-rate long-term debt may show modest leverage but weak coverage if EBIT falls, or strong coverage with high leverage if rates are locked low. Breaching a covenant can trigger default or forced renegotiation even without missing a payment, which is why analysts track headroom against the threshold.

Memory hook:Debt/EBITDA measures years to pay off; EBIT over interest measures this year's bill.

Economic profit asks whether a company earns more than its cost of capital: it is operating profit after tax minus a capital charge, where the charge equals invested capital times the cost of capital. A firm can report positive net income yet destroy value if its returns on invested capital fall below its hurdle rate, which is why ROIC versus WACC is the decisive comparison. Sum-of-the-parts analysis values a conglomerate by appraising each business segment separately, applying segment-appropriate multiples to each, and adding them up, then subtracting corporate overhead and net debt. If the total exceeds the market cap, the stock trades at a discount and a breakup or spin-off could unlock value. Both tools catch what a single consolidated multiple misses: value creation at the segment level and returns that clear the capital charge.

Memory hook:Economic profit equals earnings minus the capital charge; sum the parts to find what the whole hides.

Every income statement projection starts with revenue, and good analysts build sales from drivers rather than applying a flat growth rate: units times price, or for a retailer, store count times sales per store. Once revenue is set, the cost structure determines how profit moves. Fixed costs, such as rent, depreciation, and salaried overhead, do not change with volume, so each incremental sales dollar flows disproportionately to operating profit. That is operating leverage, and it cuts both ways: a small revenue miss can crush operating income while a small beat amplifies it. The degree of operating leverage can be approximated by the percentage change in operating income divided by the percentage change in sales. High-fixed-cost businesses, like airlines and semiconductor fabs, show the widest swings, which is why the revenue assumption carries most of the forecast risk.

Memory hook:Project revenue from drivers, then let fixed costs turn small sales moves into big profit moves.

A projected cash flow statement starts from projected net income, adds back noncash charges like depreciation and amortization, then adjusts for working capital changes. The working capital piece is where forecasts go wrong. When sales grow, receivables and inventory usually grow too, and that growth consumes cash before it ever reaches the bottom line; a profitable, fast-growing company can run short of cash simply because working capital absorbs it. Conversely, when receivables are collected or inventory shrinks, cash is released. Capital expenditures, debt repayments, and dividends are uses of cash; asset sales, borrowing, and equity issuance are sources. The projected ending cash balance must reconcile with the balance sheet, and analysts test whether the company generates enough internal cash to fund its growth or must raise capital.

Memory hook:Profit is opinion, cash is fact: growing receivables and inventory quietly drink the cash.

Projecting the balance sheet means forecasting each line so the sheet balances, and asset productivity drives most of it. Turnover ratios set the pace: if sales rise 10 percent and receivable turnover holds steady, receivables rise 10 percent too; the same logic applies to inventory and often to fixed assets once capacity needs are assessed. Return on assets and return on equity projections check whether the projected asset base can plausibly support the projected earnings. The cash plug is the practical technique: after all other items are forecast, whatever amount makes assets equal liabilities plus equity is assigned to cash or to a financing line. If the plug implies negative cash, the model is telling you the company must borrow or issue equity, which is itself a forecast insight.

Memory hook:Turnover ratios size the assets; the cash plug balances the sheet and reveals financing needs.

A model is only as good as its assumptions, and the exam expects you to judge which ones are defensible. Every projection rests on inputs like sales growth, margin expansion, tax rate, and capex intensity; the analyst's job is to tie each to observable evidence, such as industry trends, company guidance, historical performance, and capacity constraints, rather than wishful thinking. Assumptions that assume margin expansion without a cost driver, or growth above the industry without share-gain logic, are red flags. Models are also living documents: when a company reports earnings, closes an acquisition, or the macro backdrop shifts, the analyst updates the inputs and re-tests the conclusion. The discipline is separating what the data support from what the analyst hopes, and revising promptly when facts change.

Memory hook:Every assumption needs a reason; when facts change, the model changes, not the excuse.

A catalyst is any event or pattern that can move a stock toward your target price, and analysts sort them into three buckets. Macro catalysts include interest rate changes, GDP shifts, currency moves, and commodity price swings that lift or pressure whole sectors. Political catalysts include elections, regulatory decisions, trade policy, tax legislation, and antitrust actions, which can change the rules of a business overnight. Company-specific catalysts include earnings surprises, product launches, FDA approvals, management changes, M&A activity, restructuring announcements, and activist involvement. The analyst's task is to identify which catalysts are plausible, when they might occur, and how large the impact could be, because a stock that is fairly valued today can still be a buy if a catalyst will close the gap to intrinsic value.

Memory hook:Macro moves the whole market, political changes the rules, company-specific moves one ticker.

A multiple means nothing in isolation, so analysts anchor it two ways. Against history, you compare the stock's current P/E or EV/EBITDA to its own long-run average, asking whether the company deserves a premium or discount to its past based on changed fundamentals: better margins, a stronger moat, or a cleaner balance sheet justify a higher multiple; deteriorating prospects justify a lower one. Against peers, you compare to companies in the same industry, but only after checking comparability: different growth rates, margins, capital intensity, and risk profiles all justify multiple differences. The trap in both comparisons is assuming reversion to the mean will happen automatically. A stock trading below its historical average is only cheap if the reasons for the old average still hold; the business may have permanently changed.

Memory hook:Compare to your own past and to your neighbors, but ask why the average should still hold.

Alongside fundamentals, analysts track signals from price behavior and ownership. Technical analysis reads chart patterns, support and resistance levels, and volume trends to gauge sentiment and timing; it does not replace fundamental work but can flag when a stock is overbought, breaking down, or building a base. Large shareholder exposure cuts both ways: a big holder provides stability and validation, but if that holder decides to exit, the selling pressure can overwhelm the stock, and concentrated ownership means one decision moves the price. Activist investors buy stakes to push for change, such as board seats, asset sales, spin-offs, buybacks, or management replacement. An activist campaign is a company-specific catalyst that can close the gap between market price and the sum-of-the-parts value the analyst has calculated.

Memory hook:Charts time the trade, big holders can swing the price, and activists force the value out.

FINRA Rule 2241 governs how firms define and disclose research ratings. The firm must establish a ratings system that includes three broad categories, buy or equivalent, hold or equivalent, and sell or equivalent, and define each rating clearly so clients know what it means, including the meaning of any price target and the time horizon it assumes. Every research report must disclose the firm's rating system definitions. The rule also requires the distribution of ratings: reports must show how many of the firm's ratings in each category apply to the subject company's sector, and specifically how many buy, hold, and sell ratings the firm has on companies in that space, plus the percentage each category represents. This disclosure lets readers judge whether the firm's ratings skew optimistic, which matters for evaluating the weight a buy rating deserves.

Memory hook:Ratings come in buy, hold, sell, and every report must show how the firm's ratings spread across the sector.

FINRA Rule 2241 requires research reports on subject companies to include a price chart showing daily closing prices of the subject security alongside a benchmark comparable index over the period covered by the report. The report must also state the current price and the percentage change over the period, with the chart adjusted for stock splits and dividends. The mechanism is context: a recommendation without price history invites cherry-picking and misleads readers about how the stock has actually performed relative to the market. Reports that update a rating, price target, or earnings estimate also need historical price disclosure, meaning the closing price on the last trading day before publication and the percentage change since the earlier report, so readers can judge the call against what already happened.

Memory hook:No stock chart travels alone: benchmark index, current price, percent change, split-adjusted.

Rule 2241 attacks conflicts from three directions. First, the report must disclose whether the research analyst or a member of the analyst's household has a financial interest in the subject company's equity securities, including beneficial ownership of 1% or more of any class of common equity. Second, the firm must disclose whether it beneficially owns 1% or more of any class of the subject company's common equity securities. Third, the firm must disclose whether it makes a market in the subject company's securities. The household-member piece is the one candidates overlook: a spouse's or dependent's position is treated as the analyst's own for disclosure purposes. The decision rule is simple: any of these interests exists, the report says so.

Memory hook:Analyst, household, firm: three owners, one report, all disclosed at 1% or more of common equity.

Rule 2241 requires research reports to disclose investment banking relationships with the subject company. The trigger is compensation: if within the previous 12 months the firm received, or expects to receive, compensation for investment banking services from the subject company, the report must say so. The same 12-month window applies when the firm managed or co-managed a public offering of the subject company's securities. The timing element is what makes this testable: past compensation and anticipated future compensation both count, so a deal that has not closed yet still triggers disclosure. The reader needs this to judge whether the recommendation might be influenced by the firm's fee interest in keeping the client happy.

Memory hook:Twelve months back, twelve months forward: received or expected banking money gets disclosed.

Regulation AC requires the analyst to certify, in the research report, two things: that the views expressed accurately reflect the analyst's personal views about the subject securities, and that no part of the analyst's compensation was, is, or will be directly or indirectly related to the specific recommendation or views contained in the report. The certification must be signed and dated. The mechanism is personal accountability: it strips away the excuse that the rating was a committee product or shaped by banking pressure. Note the scope: the rule attaches to research reports as defined, meaning communications that analyze a security's price or value and provide information reasonably sufficient to base an investment decision, not only pieces carrying an explicit recommendation or estimate.

Memory hook:Reg AC certifies two things: my views are mine, and my pay is not tied to them.

Quiet periods keep research from functioning as offer support during a distribution. For an initial public offering, a firm that acted as manager or co-manager cannot publish a research report on the subject company, and its analysts cannot make public appearances about it, until 10 calendar days after the IPO date. A firm that received investment banking compensation from the issuer within the prior 12 months but did not manage or co-manage the deal faces a longer restriction: 25 calendar days after the IPO. For a follow-on offering, the manager or co-manager is restricted until 3 calendar days after the effective date. The logic is that research published alongside an offering looks like selling, so the rules force separation in time.

Memory hook:IPO: 10 if you ran the deal, 25 if you just got paid; follow-on: 3.

Rule 2241 restricts analyst trading in three ways. First, an analyst cannot trade contrary to the analyst's own current recommendation: a Buy rating means no selling by the analyst, a Sell means no buying. Second, analysts cannot trade subject company securities during blackout periods the firm establishes, which must at minimum cover times when the analyst is aware of nonpublic information about the company and the period before a report is published. Third, an analyst engaged in investment banking services work cannot trade the subject company's securities within 30 days before and 5 days after an IPO or secondary offering. The mechanism is straightforward: the person shaping the market's view cannot profit from acting ahead of it.

Memory hook:Never trade against your own rating; 30 before, 5 after when banking is involved.

Rule 2241 separates analyst pay from banking outcomes in two moves: a prohibition and a disclosure. The prohibition: an analyst's compensation cannot be tied to specific investment banking transactions, and the analyst's performance evaluation cannot consider contribution to banking revenue. This extends to supervisory analysts, whose pay also cannot be linked to banking revenue, so the approval chain stays clean. The disclosure: if an analyst received compensation in the past 12 months that was based on investment banking services revenue, the research report must disclose it. The exam rewards knowing which situations are flatly banned versus which are permitted but must be revealed. General firm profitability in a bonus formula is acceptable; linking an analyst's pay to a specific deal is not.

Memory hook:No pay for a specific deal, ever; banking-linked pay in the last year gets printed.

Before any research report goes out, Rule 2241 requires approval by a supervisory analyst registered under FINRA Rule 1220(a)(14), and the report must also be reviewed for legal and compliance concerns, with the analyst signing off on the substance. This is a pre-dissemination gate, not a post-publication cleanup. The supervisory structure sits on top of FINRA Rules 3110 and 3120, which require the firm to have supervisory procedures and to test them. On the back end, research records, including drafts and the approvals that accompanied them, must be retained under FINRA's recordkeeping rules, generally for three years with the first two in an easily accessible place. The exam logic: nobody publishes first and supervises later.

Memory hook:Supervisory analyst signs before it ships; drafts and approvals get filed for three years.

Three regimes converge on a research report. Regulation FD governs the issuer's side: a company cannot selectively hand material nonpublic information to analysts, and if an analyst receives it anyway, the report cannot be published until the information is publicly disclosed. Regulation G governs the numbers: any non-GAAP financial measure used in a report, like adjusted EBITDA or core earnings, must be reconciled to the most directly comparable GAAP measure with no more prominence given to the non-GAAP figure. Rule 2210 governs the communication itself: research is a communication with the public, so it must be fair, balanced, and not misleading, with risks presented alongside potential rewards. Each rule catches a different failure: selective disclosure, unexplained adjusted numbers, and one-sided hype.

Memory hook:FD controls the leak, G reconciles the numbers, 2210 keeps the story balanced.

These three reports mark the boundaries of a coverage relationship. An initiation report is the first on a subject company and must do the full job: establish the rating, set the price target, lay out the thesis, and carry every required disclosure, since the reader has no prior context. Change reports announce a new rating, price target, or earnings estimate, and Rule 2241 requires them to disclose the previous rating and price target along with the dates those were issued, so readers can track the analyst's record honestly. Termination reports end coverage; the firm must notify clients, and if the termination relates to the investment banking relationship or other adverse circumstances, the report or notice must say so rather than let the coverage quietly disappear.

Memory hook:Start with everything, change shows the old call, end with an honest goodbye.

The three earnings report types are defined by timing relative to the release. A preview is written before results: it frames expectations, compares consensus estimates, flags the metrics that matter most for this particular company, and sometimes positions readers for surprises. A review comes immediately after the release: a fast summary of headline numbers against expectations, management guidance, and the immediate market reaction, with limited depth. An analysis is the deep follow-up: the analyst revisits the model, updates revenue and margin assumptions, revises earnings estimates, and judges whether the results strengthen or weaken the investment thesis. The decision rule is sequence: preview sets the bar, review reports the score, analysis explains what it means for the rating and target.

Memory hook:Preview predicts, review reacts, analysis rethinks the model.

Report taxonomy is about scope and shelf life. A fundamental report is the comprehensive company piece: business model, competitive position, financials, management quality, valuation, and risks, usually built around a full model. An industry report widens the lens to a sector, examining demand drivers, competitive structure, regulatory pressures, and relative positioning of the companies within it. A topical or theme report drills into one issue, such as tariffs, a technology shift, or a regulatory change, and traces its impact across affected companies. A short note is the quick reaction vehicle: a brief summary of breaking news, a data release, or an event, with minimal analysis and fast turnaround. Match the report type to the trigger and the reader's need for depth.

Memory hook:Fundamental digs deep, industry zooms out, topical picks one thread, short note sprints.

A research report earns its conclusion through three load-bearing components. The investment thesis is the argument: why the stock should outperform or underperform, grounded in the business model, competitive position, and catalysts. The valuation basis explains how the analyst got to the price target, meaning which methods were used, such as discounted cash flow, comparable multiples, or sum-of-the-parts, and what assumptions drive them; Rule 2241 requires disclosure of the basis for the price target and the risks to achieving it. Risk factors state what could go wrong: competitive, regulatory, execution, and financial risks. A report with a target but no stated basis, or a thesis with no countervailing risks, fails both the regulatory standard and the analytical one.

Memory hook:Thesis argues, valuation shows the math, risks admit what could break it.

Quantity of earnings is the headline: the level and growth rate of reported revenue and EPS. Quality asks whether those earnings are real, repeatable, and convertible into cash. The mechanism is the gap between accrual accounting and cash. Earnings built on aggressive revenue recognition, ballooning receivables, inventory building faster than sales, or one-time gains are low quality even when the growth rate looks impressive. High-quality earnings show strong cash conversion, stable margins, and recurring revenue. The analyst's test: compare net income to operating cash flow over several periods. Persistent earnings growth with weak or negative cash flow is the classic red flag that reported profits are outpacing economic reality, and the report should say so.

Memory hook:Quantity is the size of the paycheck; quality is whether the check clears.

Sensitivity analysis shows how a company's costs, revenues, and ultimately its valuation respond when a key assumption moves. A report should identify the variables that matter most for the specific business: commodity prices for a miner, fuel costs for an airline, exchange rates for an exporter, interest rates for a bank or leveraged company, or unit volumes for a manufacturer. The mechanism is simple math: if a 10% move in copper prices changes EPS by a stated amount, the reader can judge how much of the investment case rests on that one input. Disclosing sensitivity protects the analyst too, because a thesis that collapses under a modest assumption change looks different from one that holds up. Reports should make the fragility, or robustness, of the model visible.

Memory hook:Sensitivity asks: which single assumption, if wrong, breaks the thesis?

The same research gets packaged differently depending on who is listening. Institutional clients, including buy-side analysts, portfolio managers, hedge fund and pension managers, are sophisticated: they can handle detailed models, assumption tables, raw data, and dense discussion of methodology. Institutional communications also receive lighter regulatory treatment under Rule 2210, with no principal pre-approval or filing requirement, though they still cannot be misleading and must reach a qualifying institutional audience. Retail presentation demands plain language, a fair and balanced presentation of risks and rewards, and content that a nonprofessional can actually use. The decision rule: adjust depth and vocabulary to the audience, but never adjust the substance of the recommendation or hide the risks to make the story easier to sell.

Memory hook:Institutions get the model; retail gets the plain story; both get the truth.

Research travels by many channels: telephone, blast voice mail, instant and text messaging, email, the firm's website, internal squawk boxes, external news services, social media, video pitches, and podcasts. Whatever the channel, Rule 2241 imposes a timing discipline: if the firm publishes a research report, it must make it available to all customers and clients entitled to receive it simultaneously or as soon as practicable. The firm cannot hand the report to a favored institutional client in the morning and post it for everyone else after lunch. The mechanism prevents information asymmetry: no client should be able to trade on the firm's recommendation before other entitled recipients even know it exists. New channels do not create exceptions; a tweet is subject to the same rule as a printed report.

Memory hook:Every entitled client gets the report at effectively the same moment, on every channel.

Rule 5280 addresses the firm's own conduct when it knows a research report is coming. A member that has decided to recommend or publish a research report cannot buy or sell the subject securities ahead of publication when the report is reasonably expected to affect the market price. The firm cannot front-run its own research, buying before a Buy rating hits the wire and profiting from the client-driven pop. The exceptions matter: the rule does not bar the firm from handling a customer's unsolicited order or from purchasing or selling to facilitate a customer's transaction, since customer interests, not the firm's book, drive those trades. The mechanism is sequencing: the firm's proprietary account waits until the market has the same information the firm has.

Memory hook:The firm's own money waits behind its clients; only customer orders jump the line.

Securities Act Section 5 generally treats publications about a registered offering as prospectuses, which would make ordinary research illegal during a deal. Rules 137, 138, and 139 provide safe harbors keyed to the broker-dealer's role. Rule 137 covers a broker-dealer not participating in the offering: it may publish research on the offered securities, provided its information from the issuer and underwriters is limited to publicly available materials. Rule 138 covers a distribution participant: it may publish research on securities other than those being offered. Rule 139 covers a participating underwriter: it may publish research on the offered securities if the report is a routine, regularly scheduled publication in the ordinary course and meets the rule's conditions, such as not being induced by the issuer.

Memory hook:137 outsider, 138 different stock, 139 insider on the same stock but only routine reports.

Regulation M Rule 101 bars a distribution participant from bidding for or purchasing the offered securities during the applicable restricted period, because firm buying could artificially prop up the offering price. Research fits through an exception: Rule 101(b)(1) permits a participating broker-dealer to publish or distribute research reports about the offered securities if done in the ordinary course and not induced by the issuer, keeping research from becoming disguised offer support. Rule 101(c)(1) excepts certain securities from the restriction. Layered on top are the anti-manipulation and liability provisions: Exchange Act Section 9(a)(5) reaches dissemination of information for consideration to influence price, Section 17 and Rule 10b-3 reach manipulative devices by brokers, and Securities Act Sections 11, 12, and 15 impose liability for false registration statements and prospectuses, including on controlling persons.

Memory hook:Reg M freezes the bid hand; ordinary-course research, not issuer-induced, stays allowed.