Topic
Alternative Investments formulas cover real estate valuation (cap rate, NOI), private equity (DPI, RVPI, TVPI), hedge fund fee structures, and commodity index returns.
Use when. Private equity / venture fund performance reporting.
Total value / paid-in (TVPI). Tells you the headline "X times your money" of a PE fund.
Variables
Use when. Hedge fund / PE fee modelling.
Hedge funds charge a performance fee on returns ABOVE the hurdle (hard hurdle only). Below the hurdle: no incentive fee.
Variables
Topic
Corporate Issuers formulas include WACC, cost of equity (CAPM and DDM approaches), operating and financial leverage, and breakeven analysis.
Use when. Assessing whether management is creating value, not just generating accounting profit.
Return earned on all capital deployed in the business, debt and equity alike. Compare to WACC: ROIC > WACC = creating value.
Topic
Derivatives formulas include put-call parity, binomial option pricing, Black-Scholes-Merton inputs, and forward/futures pricing relationships.
Topic
Economics formulas span micro and macroeconomics, including supply-demand analysis, GDP calculations, exchange rate parity conditions, and monetary/fiscal policy models.
Use when. Output decisions for firms in any market structure (perfect competition, monopoly, oligopoly).
Produce one more unit as long as it adds more revenue than cost. Stop when they're equal — that's the profit-maximising quantity.
Variables
Topic
Equity valuation formulas cover the Dividend Discount Model (DDM), Free Cash Flow models, and relative valuation multiples like P/E, P/B, and EV/EBITDA.
Topic
Financial Statement Analysis (FSA) carries one of the highest topic weights. Key formulas include profitability, liquidity, solvency, and activity ratios, plus LIFO-FIFO adjustments and DuPont decomposition.
Use when. Earnings per share reporting; per-share comparisons over time and across companies.
Earnings per common share available to common stockholders. Strip out preferred dividends (which belong to preferred holders).
Topic
Fixed Income formulas address bond pricing, yield measures (YTM, current yield, spread), duration, convexity, and term-structure models essential for the CFA exam.
Use when. Bond pricing given YTM; calculating clean prices.
A bond is the sum of present values of all coupon payments plus the final principal repayment.
Topic
Portfolio Management formulas encompass the Capital Asset Pricing Model (CAPM), Sharpe ratio, Treynor ratio, Jensen's alpha, and mean-variance optimisation.
Use when. As the systematic-risk input for CAPM, Treynor ratio, Jensen alpha, and equity risk-premium adjustments.
How much an asset's returns swing relative to the market. β = 1 moves with the market; β > 1 amplifies; β < 1 dampens; β < 0 moves opposite.
Topic
Quantitative Methods covers time value of money (TVM), descriptive statistics, probability distributions, hypothesis testing, and linear regression — foundational formulas used throughout the CFA curriculum.
Use when. Quick first look at how spread out a dataset is.
Crudest measure of dispersion. Uses only two observations.
Variables
A simple 5-step approach to turn this sheet into real CFA Level 1 exam prep — not just a wallpaper for your desk.
Use the side navigation to jump to the topic you're currently studying — Quantitative Methods, FSA, Fixed Income, etc.
For each formula, read the title, the equation, and especially the 'use when' line. Knowing when to use a formula is more valuable than memorising it blindly.
Each card lists the variables (with units) and a short plain-English intuition. Read these so you can rebuild the formula from first principles.
Apply the formula on at least 5–10 practice questions. Active recall beats re-reading every time.
In the final 2–3 weeks before the exam, scroll through this sheet and recite every formula from memory. Mark the ones you can't recall and drill them.
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Bond price–yield simulation
Interactive tool to see duration and convexity behave for different yield shifts — pairs with the Fixed Income formulas above.
Monte Carlo simulation
Visualise return distributions and risk — helpful intuition for the Quantitative Methods and Portfolio Management formulas.
Variables
Use when. Operating-efficiency comparisons across firms or across periods; a primary lever for working-capital management.
How many days a firm's cash is locked up between paying suppliers and collecting from customers. A shorter cycle means less working capital tied up — better.
Variables
Use when. First-pass liquidity check during credit analysis or fundamental screening. Industry-dependent — compare to peers, not to a universal benchmark.
Can the company cover its next-12-month obligations using assets it expects to turn into cash within the next 12 months? Higher is safer but extremely high may indicate idle capital.
Variables
Use when. When inventory is large or hard to liquidate — common in retail, manufacturing, real estate development.
Also called the acid-test ratio. Removes inventory (and prepaids) from the numerator — measures liquidity using only what can be turned into cash quickly. A stricter test than the current ratio.
Variables
Use when. Investment decisions, M&A valuation, project ranking.
Present-value-weighted profit from a project. Accept if NPV > 0 (project adds value). Strongest capital-budgeting criterion.
Variables
Use when. Discount rate for DCF valuations, hurdle rate for accept/reject decisions on projects with the same risk as the firm, and as a proxy for the firm's marginal cost of capital.
A firm finances assets with a mix of debt, preferred stock, and equity. WACC is the blended after-tax cost of that mix — the minimum return the firm must earn to satisfy all capital providers.
Variables
Use when. Estimating how a change in capital structure (e.g. a leveraged buyout, share buyback funded by debt) will move the cost of equity.
MM Proposition II with taxes: adding debt makes equity riskier (financial leverage) so the required return on equity rises linearly with D/E. The (1−t) factor reflects the tax shield on interest payments.
Variables
Use when. Capital structure theory; quantifying the tax-shield benefit of debt.
MM Proposition I with taxes: debt creates value via the tax shield (interest is tax-deductible). Levered firm worth more than unlevered by t × D.
Variables
Use when. Pricing forwards on stocks, bonds, commodities, currencies.
No-arbitrage forward price = spot, grown at the risk-free rate, with carry costs added and income subtracted.
Variables
Use when. FX hedging, carry-trade analysis, valuing currency forwards.
Covered interest-rate parity, continuous form. High-rate currency depreciates in forward; low-rate currency appreciates.
Variables
Use when. Mark-to-market of an existing forward position.
At initiation, no money changes hands so V_0 = 0 if priced correctly. Between initiation and maturity, value changes as spot moves vs locked-in forward price.
Variables
Use when. Yield-curve analysis; valuing forward rate agreements (FRAs).
The rate the market implies for a future borrowing period, derived from current spot rates. Investing for A years and then rolling at IFR should equal investing for B years today.
Variables
Use when. Hedging short-term interest rate exposure; trading expectations of future short rates.
Eurodollar/SOFR futures are quoted as 100 minus the rate. Higher rate → lower price. A 0.25% rate move = 25 bps × $25 per bp = $2,500 per contract.
Variables
Use when. Valuing periodic cash flows of plain-vanilla interest-rate swaps.
In an interest-rate swap, fixed and floating payments are netted each period. Sign depends on whether MRR > or < swap rate.
Variables
Use when. Computing terminal payoffs of long call positions.
Exercise only if S_T > X (otherwise let it expire worthless). The 'hockey-stick' payoff diagram.
Variables
Use when. Terminal payoff of long puts; hedging downside; portfolio insurance.
Exercise only if S_T < X. Mirror of the call payoff. Max value capped at X (when stock goes to zero).
Variables
Use when. Identifying arbitrage opportunities in mispriced options; setting upper/lower bounds for option pricing models.
A call must be worth at least its intrinsic value (S − X) discounted, otherwise arbitrage. Time value sits above this floor.
Variables
Use when. Pricing one option given the other plus the underlying; constructing synthetic positions (synthetic call, synthetic put, synthetic stock, synthetic risk-free bond); checking for arbitrage.
Two portfolios with identical payoffs at expiry must cost the same today, or arbitrage exists. Long call + PV of strike ("fiduciary call") has the same expiry payoff as long stock + long put ("protective put").
Variables
Use when. Constructing a riskless hedge in a binomial tree (delta-hedging the option). Forms the basis of no-arbitrage option pricing.
The fraction of a share you need to hold for every option written so the combined position is risk-free over the next period. The delta of the option in a one-step world.
Variables
Use when. Pricing options on a binomial tree (one or multi-step). The same logic underlies Black-Scholes in continuous time.
Under risk-neutral pricing we pretend everyone is indifferent to risk and discount expected payoffs at the risk-free rate. π is the synthetic probability that makes that pricing consistent — it is NOT the real-world probability.
Variables
Use when. Estimating GDP impact of fiscal stimulus (or austerity).
A government spending boost circulates through the economy as recipients spend their new income. Multiplier > 1 because each round of spending creates more income.
Variables
Use when. Assessing currency competitiveness; PPP analysis.
Strips out inflation differentials to show how many real (purchasing-power) units of A you get per unit of B.
Variables
Use when. Macro framing of current-account deficits and surpluses.
A country's trade balance equals private net savings plus government surplus. Trade deficits = excess domestic investment over savings.
Variables
Use when. FX hedging, carry-trade analysis, valuing currency forwards.
Interest-rate parity: forward rate equals spot times the ratio of interest factors. Otherwise arbitrage. Higher-rate currency trades at forward discount.
Variables
Use when. INR/EUR via USD; any pair that has no direct quote.
Triangulate the exchange rate between A and B through a third currency C. Used heavily when one currency lacks a direct quote.
Variables
Use when. General DDM framework; building block for Gordon, two-stage, and H-models.
A stock is worth the PV of all future dividends. For finite horizons, add a terminal value at the end.
Variables
Use when. Valuing perpetual preferred stock.
Preferred shares pay a fixed dividend forever. Value = perpetuity of that dividend.
Variables
Use when. Estimating intrinsic value for stable, mature dividend payers (utilities, large banks, FMCG). Also for terminal-value calculations in two-stage DDMs.
Values a mature, dividend-paying stock by treating it as a constantly growing perpetuity. The second equation gives g from fundamentals: the firm grows by retaining a fraction of earnings and reinvesting at its ROE.
Variables
Use when. Cross-check market P/E against fundamentals; relative valuation.
Justified P/E derived from Gordon Growth. Higher payout, lower required return, higher growth → higher justified multiple.
Variables
Use when. EV/EBITDA, EV/Sales multiples; M&A pricing.
What it would cost to acquire the entire business — pay off all capital providers, then keep the cash on hand. EV is capital-structure neutral.
Variables
Use when. Reporting period-over-period price moves.
Price-only return (ignores dividends). Most stock indices reported in media (Sensex headline) are price-return indices.
Variables
Use when. Performance measurement, fund returns, true long-term equity returns.
Total return = price change + income, expressed as % of starting price. Reflects the full investor experience including dividends.
Variables
Use when. Margin investing, derivatives, hedge fund risk analysis.
How many rupees of exposure per rupee of own money. Margin trading with 50% initial margin gives 2× leverage.
Variables
Variables
Use when. Enterprise-value DCF; valuing a firm independent of its capital structure.
Cash flow available to ALL capital providers (debt + equity) after operating needs and capex. The cash the business actually generates for investors.
Variables
Use when. Equity DCF valuation; computing intrinsic share value.
Cash flow available to equity holders only — after debt service and after reinvestment.
Variables
Use when. Most non-tax financial reporting; standard accounting practice.
Spreads the depreciable amount evenly over the asset's useful life. Simplest method, most commonly used for financial reporting.
Variables
Use when. Accelerated depreciation for tax purposes; assets that lose value disproportionately early.
Accelerated method: charges more depreciation in early years (book value × 2/life), less later. Matches assets that lose value faster up front (cars, IT equipment).
Variables
Use when. Efficiency analysis; one of the three DuPont components.
How efficiently the firm generates sales from its assets. Higher = each rupee of assets produces more revenue.
Variables
Use when. Activity / operating-efficiency analysis, particularly for retailers, manufacturers, and consumer-goods firms. Pair with days-of-inventory-on-hand for the time interpretation.
How many times in a year a company sells through its inventory. Higher means inventory is moving fast (good); too high may indicate stockouts.
Variables
Use when. Estimating working-capital requirements; an input to the Cash Conversion Cycle.
The time interpretation of inventory turnover: roughly how many days of selling activity the firm has tied up in inventory at any moment.
Variables
Use when. Working-capital and credit-policy analysis.
How many times per year the firm collects its outstanding credit sales. Higher = better credit control.
Variables
Use when. Time-based working-capital analysis.
Average number of days it takes to collect on credit sales. Component of Cash Conversion Cycle.
Variables
Use when. Solvency / leverage analysis; credit risk assessment.
How much debt the company carries per rupee of equity. Higher = more leverage = more financial risk.
Variables
Use when. Credit analysis, bond covenants, default risk screening.
How many times the firm could pay its interest from its operating earnings. Higher = safer for bondholders.
Variables
Use when. When two companies have the same ROE but you want to know whether it's driven by margins, efficiency, or leverage. Also useful for tracking changes in a single company's ROE over time.
Decomposes return on equity into three drivers: how much profit per rupee of sales, how much sales per rupee of assets, and how much the firm has levered its equity. Lets you trace ROE changes back to the underlying business lever.
Variables
Use when. Breakeven analysis, sensitivity analysis, what-if questions on volume / pricing.
Contribution margin per unit (P − VC) × units, minus fixed costs. The mechanical link between sales volume and operating profit.
Variables
Use when. Cyclicality analysis; identifying companies that will swing hard with the economy.
Sensitivity of operating income to a change in sales. Driven by fixed cost — high fixed cost → high DOL → operating leverage.
Variables
Use when. Capital structure analysis; understanding earnings volatility.
Sensitivity of net income to operating income changes. Driven by debt (fixed interest). More debt → higher DFL.
Variables
Use when. Equity-risk assessment for highly cyclical and leveraged firms.
Combined sensitivity of net income to sales. DTL = 5 means a 10% sales rise becomes a 50% net income rise.
Variables
Variables
Use when. Pricing bonds traded between coupon dates; settlement calculations.
Bonds trade between coupon dates. The buyer pays the seller for interest accrued so far — that's the accrued interest, added to the quoted clean price.
Variables
Use when. Quick income comparisons; sales-pitch yield.
Simple income yield. Like a dividend yield for bonds, but ignores capital gains/losses to maturity.
Variables
Use when. Valuing callable bonds; conservative yield reporting.
For callable bonds, the issuer will redeem when it benefits them — bad for investors. YTW captures the worst-case outcome.
Variables
Use when. Credit spread analysis for option-free bonds.
The constant spread you add to every spot rate so the discounted cash flows equal the bond's market price. Captures credit + liquidity premium over the risk-free curve.
Variables
Use when. Relative-value analysis of bonds with embedded options (callables, putables, MBS).
Strips the embedded-option value out of the Z-spread, leaving pure credit + liquidity compensation. The right spread to compare a callable bond against an option-free benchmark.
Variables
Use when. Comparing the interest-rate sensitivity timeline of bonds. Almost always a stepping-stone to Modified Duration for hedging and price-change estimation.
The weighted-average time (in years or periods) until the bondholder receives back the present-value-weighted cash flows. Acts as the 'effective maturity' of the bond's cash flows.
Variables
Use when. Estimating bond price change for small yield moves, immunising a portfolio, computing dollar duration for hedging.
The slope: for a 1% change in yield, a bond's price changes by roughly Modified Duration percent (in the opposite direction). Direct measure of interest-rate sensitivity.
Variables
Use when. Whenever the yield change is larger than ~50 bps, or whenever you want a more accurate hedge calculation.
Duration assumes the price–yield relationship is a straight line; in reality it is curved (convex). Convexity adds the second-order correction so the estimate works for larger yield changes.
Variables
Use when. Mortgage-backed securities, callable bonds, any bond whose cash flows are interest-rate-dependent.
Numerical (shock-based) duration. Captures price sensitivity for bonds where cash flows depend on yields (callable, MBS).
Variables
Use when. Money-market funding, short-term financing for bond dealers.
Repo = sell now and buy back later. Repo price = purchase price plus interest at the repo rate over the term. Day-count uses 360.
Variables
Use when. Pricing credit risk, computing credit spreads, loan-loss provisioning.
Probability of default × loss when it happens. Foundation of credit-risk modelling.
Variables
Use when. Commercial mortgage credit analysis; underwriting CRE loans.
How many times the property's operating income covers its debt service. DSC > 1.2 = adequate margin of safety.
Variables
Variables
Use when. Comparing portfolios that are already components of a larger, well-diversified portfolio. There, only beta matters because idiosyncratic risk has been diversified away.
Excess return per unit of systematic (non-diversifiable) risk. Same idea as Sharpe but uses beta instead of standard deviation.
Variables
Use when. Mean-variance optimisation; portfolio selection from the efficient frontier.
Quadratic utility: investors like return but dislike variance. Higher A means risk hurts more. The utility-maximising portfolio depends on A.
Variables
Use when. Asset-allocation lectures; understanding how cash + risky portfolio combine.
Straight line of return-risk combinations available by mixing the risk-free asset with a chosen risky portfolio i. Slope = Sharpe ratio of i.
Variables
Use when. Defining the efficient frontier with a risk-free asset; foundation of CAPM.
The CAL that dominates all others: when everyone holds the market portfolio. Slope is the Sharpe ratio of the market itself.
Variables
Use when. Estimating the cost of equity for a public company, finding the discount rate for DCF, or producing a benchmark return for performance evaluation (Jensen alpha).
Investors expect compensation only for systematic (market) risk because they can diversify away the rest. CAPM prices an asset's required return as the risk-free rate plus its share of the market risk premium.
Variables
Use when. Ranking portfolios when total risk (not just systematic risk) matters — e.g. comparing standalone investment options that are not already diversified.
Excess return per unit of total risk. Higher is better. Lets you compare portfolios with different risk levels on an apples-to-apples basis.
Variables
Use when. Evaluating active manager skill. Use when you have a benchmark and a CAPM beta estimate.
Actual return minus what CAPM said the portfolio should have earned given its beta. Positive alpha = manager added value beyond the market. Negative = manager underperformed risk-adjusted expectation.
Variables
Use when. Performance comparison; communicating Sharpe-equivalent returns to a non-technical audience.
Sharpe ratio reinterpreted as a return: 'what return would I have earned if the portfolio had market-level risk?' Allows ranking portfolios on a common-risk basis.
Variables
Use when. Robust spread measure when standard deviation is overly punished by outliers.
Average distance from the mean, without squaring. Easier to interpret than standard deviation.
Variables
Use when. Forecasting next-period expected return.
Simple average of period returns. Best estimate of return for a single future period (unbiased estimator).
Variables
Use when. Converting between nominal and real rates; comparing rates across high- and low-inflation regimes.
Fisher relation: the nominal rate compensates lenders for both real time-value-of-money and expected inflation.
Variables
Use when. Single-period return calculations; chaining sub-period returns into a cumulative figure.
Total return = capital gain + income, expressed as a fraction of starting price. For multi-period returns, chain-link (compound) each sub-period.
Variables
Use when. Measuring actual realised performance of an investment over multiple periods.
The constant per-period rate that, compounded over n periods, would produce the same total ending value. The 'true' historical return for a buy-and-hold investor.
Variables
Use when. Average cost per share under SIP / dollar-cost averaging; averaging P/E ratios.
Used when averaging rates over a constant cost (dollar-cost averaging). Buying a fixed rupee amount each period averages purchase price at the harmonic mean.
Variables
Use when. Any single-cash-flow time value of money question with annual (or matched-period) compounding.
Money grows by a factor of (1+r) each period. Present value just runs that forward equation in reverse to discount a future amount back to today.
Variables
Use when. TVM problem where the compounding frequency differs from once-a-year (e.g. quarterly, monthly, semi-annual bonds).
When interest is compounded more often than once a year, the effective return on the investment rises slightly. The formula adjusts the rate down to per-period (r/m) and the exponent up to total periods (m×T).
Variables
Use when. Option pricing, log returns, theoretical finance models.
The limit of periodic compounding as the number of periods per year goes to infinity. Used heavily in derivatives pricing (Black-Scholes).
Variables
Use when. Cross-country comparisons, long-horizon retirement planning where inflation matters.
Strip out inflation from the nominal return to see real purchasing-power growth.
Variables
Use when. Margin investing, real-estate analyses, LBO modelling.
Borrowing amplifies returns: if asset returns > cost of debt, equity holders earn the spread, scaled by leverage.
Variables
Use when. Valuing any fixed-coupon bond given its yield, or solving for yield given price.
A bond is a portfolio of cash flows: an annuity of coupons plus a final principal repayment. Discount each at the YTM and sum.
Variables
Use when. A cash flow stream that is (i) constant, (ii) infinite, and (iii) starts one period from now (ordinary perpetuity). Example: a perpetual preferred share or a British consol bond.
A stream of identical cash flows that never ends is worth the single-period payment divided by the discount rate. Higher rates make the perpetuity less valuable today.
Variables
Use when. Equal-payment streams that last for a fixed term: mortgage payments, retirement withdrawals, equipment leases, fixed-coupon bonds (ignoring face value).
A finite stream of equal payments is just the difference between two perpetuities: one starting now, minus one starting after n periods. The bracketed term is the annuity factor.
Variables
Use when. Valuing perpetual preferred shares or any cash flow expected to stay flat indefinitely.
Identical to a perpetuity. Used to value perpetual preferred stock paying a fixed dividend forever.
Variables
Use when. Mature companies expected to grow dividends at a stable rate forever (e.g. blue-chip utilities). Requires r > g.
Same idea as a perpetuity, but the cash flow grows. The denominator (r − g) is the "net" discount rate after subtracting the growth tailwind.
Variables
Use when. T-bills, commercial paper, zero-coupon bonds where only purchase price and final amount matter.
Solves for the yield on a zero-coupon (or discount) bond, given price and maturity.
Variables
Use when. Backing out the market's implied return on a stock given its price and dividend trajectory.
Solves Gordon Growth for r. Required return = dividend yield + growth (sometimes called the 'implied return' from current price).
Variables
Use when. Sanity-checking market P/E ratios against fundamentals; relative valuation.
Justified P/E from Gordon Growth. Higher payout, lower r, higher g → higher justified P/E.
Variables
Use when. Central tendency of a sample; an unbiased estimator of population mean.
Best single-number summary of a sample's center.
Variables
Use when. Describing dispersion when distribution is skewed or has outliers.
Spread of the middle 50% of data, ignoring extreme tails. Robust to outliers.
Variables
Use when. Computing quartiles, deciles, VaR cut-offs from raw data.
Finds the position of a percentile in sorted data; interpolate between neighbouring observations if not integer.
Variables
Use when. Building up a required return from fundamentals, especially for fixed-income securities.
A nominal interest rate is a stack of premiums on top of the real risk-free rate — each premium compensates investors for a specific risk they bear.
Variables
Use when. Foundation for standard deviation, hypothesis testing, regression diagnostics.
Squared deviations from the mean, averaged. The square forces them positive and penalises large deviations more than small.
Variables
Use when. Computing Sortino ratio, downside-focused portfolio construction.
A one-sided risk measure: only counts deviations below a target. Captures 'downside risk' rather than total volatility.
Variables
Use when. Comparing risk of investments with very different means (e.g. growth stock vs treasury).
Risk per unit of expected return. Lower CV = more return per unit of variability.
Variables
Use when. Distribution diagnostics; risk analysis (downside-heavy returns have negative skew).
Asymmetry of a distribution. Positive skew = long right tail (mean > median); negative skew = long left tail (mean < median).
Variables
Use when. Risk analysis, VaR adjustments; understanding tail events.
"Tailedness" relative to a normal distribution. Positive = fat tails (leptokurtic) — extreme events more likely than normal predicts.
Variables
Use when. Portfolio variance, regression slope, beta calculation.
How two variables move together. Positive = same direction; negative = opposite directions; zero = no linear relationship.
Variables
Use when. Diversification analysis; relationship strength assessment.
Standardised covariance, bounded between -1 and +1. ±1 = perfect linear relationship; 0 = no linear relationship.
Variables
Use when. Decision-making under uncertainty; valuing probabilistic cash flows.
Probability-weighted average of all possible outcomes. The mean of a random variable.
Variables
Use when. Risk measurement for discrete probability distributions.
Probability-weighted average of squared deviations from the mean. The shortcut form E(X²) − [E(X)]² is faster when you have raw moments.
Variables
Use when. Scenario analysis: e.g., expected portfolio return weighted by recession / normal / boom probabilities.
Unconditional expectation = weighted sum of conditional expectations across mutually exclusive scenarios.
Variables
Use when. Credit analysis, hypothesis testing intuition, classifier intuition. Beloved by question writers because candidates frequently confuse P(A|B) with P(B|A).
Updates a prior belief about an event after receiving new information. The multiplier (likelihood/marginal) tells you how strongly the info shifts the prior.
Variables
Use when. Any portfolio expected-return calculation.
Expected return is linear in weights. Just multiply each asset's expected return by its weight, and add.
Variables
Use when. Computing portfolio risk; mean-variance optimisation.
Unlike expected return, variance is NOT linear — covariances matter. Diversification benefits come from negative or low covariances across assets.
Variables
Use when. Diversification analysis; pair-trading; assessing strength of co-movement.
Standardised covariance. Always between -1 and +1, independent of units.
Variables
Use when. Most exam portfolio-variance questions; quick portfolio risk estimates.
Two-asset case of the general formula. The cross-term shows the diversification benefit when correlation is < 1.
Variables
Use when. Pension/endowment portfolio decisions with hard minimum-return constraints.
Maximise the number of standard deviations between expected return and a downside threshold. Higher SF ratio = lower probability of failure (returns below R_L).
Variables
Use when. Asset-price modelling; Black-Scholes underlying assumption.
If ln(Y) is normal, then Y is lognormal — always positive, skewed right. Used to model stock prices since prices can't be negative.
Variables
Use when. Time-series analysis, GBM models, statistical tests on returns.
Log return. Symmetric (a +10% then -10% log-return ends back at start), additive across periods.
Variables
Use when. Building confidence intervals, computing t-statistics, hypothesis testing on means.
Standard deviation of the sample mean across many possible samples. Shrinks with √n — larger samples produce more precise estimates of the mean.
Variables
Use when. Testing hypothesis about a single population mean when σ is unknown (usually).
"How many standard errors is the sample mean from the hypothesised mean?" Large |t| → reject null.
Variables
Use when. A/B test of two groups (e.g. portfolio A vs B average return).
Tests whether two population means differ. Pooled variance assumes equal population variances.
Variables
Use when. Testing if a fund's volatility matches a benchmark; risk-management variance tests.
Tests whether the population variance equals a hypothesised value. Chi-square is right-skewed and only takes non-negative values.
Variables
Use when. Validating equal-variance assumption before t-test; comparing volatility of two funds.
Tests whether two populations have equal variances. F is the ratio of larger to smaller variance.
Variables
Use when. Validating significance of pairwise correlations in factor analysis or pair trading.
Tests whether a sample correlation is statistically different from zero (i.e., whether there is a real linear relationship).
Variables
Use when. Cross-tabs: e.g. industry × credit-rating frequencies.
Tests whether two categorical variables are independent. Large chi-square = observed counts diverge from independent expectation.
Variables
Use when. Linear regression, factor models, beta estimation.
OLS slope = covariance / variance. Tells you the change in Y for a 1-unit change in X. Same formula gives stock's beta when X = market return.
Variables
Use when. Reading regression output; computing predicted Y for any X.
The regression line passes through the means (X̄, Ȳ). The intercept is just whatever's left after fitting the slope.
Variables
Use when. Model-fit assessment.
Fraction of variation in Y explained by the regression. R² = 0.6 means 60% of variability in Y is captured by X.
Variables
Use when. Overall model significance in multivariable regression.
Tests the joint significance of all slope coefficients (H0: all slopes = 0). Large F → at least one X explains Y.
Variables