EconStatsCraft › Equity valuation (DDM, FCF, residual income)

Equity valuation (DDM, FCF, residual income)

Intrinsic value per share three ways - discounted dividends, discounted free cash flow, or book value plus residual income - with a high-growth stage, a terminal value and a grid showing how much the answer moves with a point on r or g.

The intuition

A share is a claim on future cash, so it is worth the present value of that cash. The models differ only in which cash they count: dividends actually paid, free cash flow the business could pay, or the profit earned above what shareholders require on the capital they have put in. With consistent assumptions all three give the same answer.

When to use it

Valuing a share for an equity research note, a CFA equity question, or a sanity check on a market price. Dividend models suit mature payers, free cash flow models suit firms that pay little or nothing, and residual income suits banks and firms with negative free cash flow but positive earnings.

Where the estimator comes from

With dividends growing at a constant g<r, V_0=\sum_{t\ge1}D_0(1+g)^t(1+r)^{-t}=\frac{D_1}{r-g}, a geometric series. A two-stage model sums the first n dividends explicitly and adds the Gordon value of the rest, \frac{D_{n+1}}{r-g_2}, discounted n years. Residual income rewrites the same value using clean-surplus accounting, B_t=B_{t-1}+E_t-D_t: substituting D_t and telescoping gives V_0=B_0+\sum_t\frac{E_t-rB_{t-1}}{(1+r)^t}, so value is book value plus the present value of profit above the cost of equity.

The model

V_0 = \sum_{t=1}^{n}\frac{D_0(1+g_1)^t}{(1+r)^t} + \frac{D_{n+1}}{(r-g_2)(1+r)^n},\qquad V_0 = B_0 + \sum_{t\ge1}\frac{(\text{ROE}-r)\,B_{t-1}}{(1+r)^t}

What it assumes

Statistical properties

How to read the output

A worked reading

A share paying 2.00 today, with dividends growing 8% a year for five years and 4% after that, discounted at 10%. The five high-growth dividends are worth 9.47 today. The dividend in year six is 3.06, so the terminal value at year five is 3.06 / (10% − 4%) = 50.94, worth 31.63 today. Intrinsic value is 41.10, against a market price of 40, so the share looks about 3% undervalued. But 77% of the value is the terminal value, and the grid shows that at r = 11% the same share is worth only 35.13. The honest conclusion is "fairly priced, within the uncertainty of r".

Symptom → diagnosis → what to do

If you see thisIt meansDo this
Value is enormous or negativeTerminal growth at or above the required returnLower g below r
Value far from the market priceInputs, not the market, are offCheck r against CAPM and g against nominal GDP
Terminal value above 90% of totalHigh-growth stage too shortModel the transition with more years
FCFF value per share looks too highNet debt not subtractedEnter net debt and shares outstanding
Residual income negative every yearROE below the cost of equityCorrect: the firm destroys value and is worth less than book

Common mistakes

Where to read this properly

See also

Cost of capital (WACC), for the discount rate. Time value of money, for the arithmetic. CAPM, for the cost of equity.

Related Finance & risk

Black–Scholes option pricing · Bond price, duration & convexity · Merton distance to default · EMI / home loan planner · CAPM / beta estimation · Multi-factor model · Portfolio optimization · Value at Risk & Expected Shortfall · Performance & drawdown · Time value of money & NPV/IRR · Cost of capital (WACC) · Binomial option pricing · Option strategies (payoff & profit) · Forwards, futures & swaps · Credit risk & Basel capital · Extreme value theory (tail risk)

All analyses

Charts

Line chart · Area chart · Bar chart · Stacked bar · Scatter plot · Bubble chart · Histogram · Box plot · Pie chart · Heat map · Rebased to 100 · Lorenz curve and Gini

Maps

World map · Bivariate map · Flow map · India - state map · India - district map

Explore

Descriptive statistics · Summary by group · Two-way table · Classical statistical tests

Regression

Multiple regression (OLS) · Logit / Probit · Tobit (censored) · Truncated regression · Multinomial logit · Ordered logit / probit · Quantile regression · Poisson / Negative binomial

Time series - one series

Time-varying coefficients (Kalman) · Unit root tests · Correlogram (ACF / PACF) · ARIMA / SARIMA · Rolling-origin cross-validation · Theta method · Unobserved components · STL forecasting · Forecast combination · Markov regime switching · Change frequency (resample) · ARCH / GARCH volatility · Decompose & filter · Spectral analysis · Exponential smoothing · Forecast accuracy

Time series - several series

Yield curve (Nelson–Siegel / Svensson) · Dynamic factor model · Dynamic regression (ARIMAX) · Structural VAR · VAR · Granger causality · Cointegration · VECM · ARDL & bounds test

Panel data

Panel regression · Panel cointegration tests · Heterogeneous panel: Mean Group & PMG · Gravity model of trade · Dynamic panel GMM · Panel diagnostics · Panel unit-root tests

Multivariate statistics

Principal components (PCA) · Factor analysis · Cluster analysis

Marketing research

Conjoint analysis · MaxDiff (best–worst scaling) · TURF - reach of a product line · Price sensitivity (Van Westendorp) · Market basket analysis · Perceptual map · Scale reliability (Cronbach’s alpha) · Key driver analysis

Causal

Spatial autocorrelation · Spatial regression · Heckman selection · Instrumental variables (2SLS) · Difference-in-differences · Staggered difference-in-differences · Regression discontinuity · Matching & weighting · Oaxaca–Blinder decomposition

Finance & risk

Black–Scholes option pricing · Bond price, duration & convexity · Merton distance to default · EMI / home loan planner · CAPM / beta estimation · Multi-factor model · Portfolio optimization · Value at Risk & Expected Shortfall · Performance & drawdown · Time value of money & NPV/IRR · Equity valuation (DDM, FCF, residual income) · Cost of capital (WACC) · Binomial option pricing · Option strategies (payoff & profit) · Forwards, futures & swaps · Credit risk & Basel capital · Extreme value theory (tail risk)

Actuarial

Life table · Life annuity · Life insurance pricing · Chain ladder reserving · Buhlmann credibility · Survival analysis · Mortality graduation · Aggregate loss model · Ruin probability · Multi-state Markov model · Loss severity fitting

Tests & breaks

Monte Carlo experiment · F-test, Wald & Chow · Structural breaks & stability

Machine learning

Regression vs machine learning · Ridge / Lasso / Elastic Net · Random forest · Gradient boosting

Open the workspace →

Starting engine…

EconStatsCraft rigorous, plain-spoken econometrics

Econometrics that explains itself.

Regression, panel data, time series and the whole battery of tests. Every result is followed by a verdict you can defend.

Load a dataset to see it here.