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Module 08 of 1250 min readIntermediate

Cost of equity in detail — CAPM and beyond

Levered vs unlevered beta, regression betas vs comparable betas, the equity risk premium debate, country risk premiums, and the size premium argument.

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Learning objectives

By the end of this module, you should be able to:

  • 01Build a CAPM-based cost of equity from the risk-free rate, beta, and equity risk premium
  • 02Choose between regression beta and comparable-company unlevered/relevered beta — and defend the choice
  • 03Reason about country-risk premium for Kenyan / emerging-market valuations
  • 04Recognise that cost of equity is a model output, not a constant — two defensible analysts can produce different numbers

Cost of equity is the annual percentage return shareholders demand to bear the risk of holding a company's stock instead of something safer. Unlike the cost of debt — where a public bond's yield to maturity gives you a market-observable number — there is no quoted price for cost of equity. It must be estimated, and the standard tool is the Capital Asset Pricing Model. CAPM is forty years old, has known weaknesses, and remains the dominant working framework because every other proposed model is even more sensitive to inputs or even harder to estimate consistently.

The CAPM formula

text
Ke = Rf + β × ERP

Variable glossary — every input explained

  • Ke — the cost of equity, the annual percentage return equity investors require, expressed as a decimal. The output you plug into WACC. For a Kenyan listed bank Ke typically falls 17-22%; for a US large-cap consumer-staples name 8-10%.
  • Rf — the risk-free rate, the yield on a long-dated government bond in the same currency as the cash flows being discounted. For US-dollar cash flows: the 10-year US Treasury yield, currently around 4.0-4.5%. For Kenyan-shilling cash flows: the 10-year Kenyan government T-bond yield, currently around 14-15%. Currency mismatch between Rf and cash flows is the single largest source of error in emerging-market DCFs.
  • β — beta, the sensitivity of the company's equity returns to the market's returns. Dimensionless. A beta of 1.0 means the stock moves in line with the market; 1.5 means it amplifies market moves by 50%; 0.6 means it dampens them. Sourced either from a regression of historical stock returns on market returns or — better for emerging-market thinly-traded names — from comparable-company unlevered betas re-levered at the target's capital structure.
  • ERP — the equity risk premium, the expected excess return of equities over the risk-free rate, expressed as a decimal. Captures the additional return required for bearing equity risk vs holding the risk-free bond. Estimates: 5-7% for the US, 9-13% for Kenya (US ERP plus a country-risk premium of 4-6%).
  • β × ERP — the company's risk premium, the additional return required above the risk-free rate for bearing this particular company's equity risk. A high-beta company in a high-ERP country (a Kenyan bank with β=1.2 and ERP=12%) carries a 14.4% risk premium above the risk-free rate.

Why each variable matters in practice

Rf is observable but you must choose the maturity and currency correctly. β is the most-disputed input because the same regression run over different periods gives meaningfully different numbers — and for thinly-traded Kenyan equities, regression beta is genuinely unreliable, which is why comparable-company unlevering-relevering is the senior practice. ERP is where reasonable analysts disagree most: developed-market ERP estimates range 4-8% in published literature, and country-risk premium methodology has three honest schools of thought. The combination of choices on β and ERP routinely produces a 4-6 percentage point range of Ke estimates for the same company among defensible analysts.

The risk-free rate — match the currency

In US-dollar valuations, use the 10-year US Treasury yield. In KES valuations, use the 10-year Kenyan government bond yield. Match the currency of your cash flows to the currency of your risk-free rate — never use a US Rf to discount KES cash flows. The mismatch is the single largest source of error in emerging-market DCFs because it pretends a USD-equivalent valuation is a KES valuation, but the underlying inflation, growth, and risk premium for KES are fundamentally different. For long-horizon valuations the 10-year tenor is the standard choice; some practitioners use the 20- or 30-year for terminal-value discounting.

Beta — the sensitivity input

Beta measures how much a stock moves relative to the market index. The formal definition is the covariance of stock returns with market returns, divided by the variance of market returns:

text
Cov ( R_stock, R_market )
β = ─────────────────────────────────
Var ( R_market )
where:
R_stock = the periodic (weekly or monthly) return on the stock
R_market = the periodic return on the market index over the same period
Cov = the covariance between the two return series
Var = the variance of the market return series
In practice, beta is most commonly estimated as the slope coefficient
in an OLS regression of R_stock on R_market over 2-5 years of weekly
or monthly observations. Bloomberg's BETA function reports this number
directly; for thinly-traded Kenyan stocks the standard error around
the slope is large enough that the point estimate is unreliable.
A beta of 1.0 means a 1% market move produces a 1% expected stock move.
A beta of 1.5 means a 1% market move produces a 1.5% expected stock move.
Beta is dimensionless.

For thinly-traded Kenyan stocks the regression-beta approach produces unstable estimates because there are few independent return observations and many of them are zero (no trade that day). The senior practitioner's alternative is a 'comparable-company beta': take the average unlevered beta of comparable companies (de-lever each by its own D/E and tax rate via the Hamada equation), then re-lever at the target company's capital structure. This yields a more stable, more defensible number that reflects business risk rather than trading noise.

text
Hamada equation — relating levered and unlevered beta:
β_levered = β_unlevered × [ 1 + (1 − t) × ( D / E ) ]
where:
β_levered = the beta you observe in the market, including effect of leverage
β_unlevered = the beta of the underlying business operations, abstracting from leverage
t = marginal corporate tax rate (decimal)
D / E = debt-to-equity ratio at market values
Two-step process for a thinly-traded target:
1. Take 5-8 comparable companies. For each, observe β_levered, t, D/E.
Compute β_unlevered for each comp using the formula above.
Average across comps for a stable business-risk beta.
2. Re-lever to the target's capital structure:
β_target = β_unlevered_avg × [ 1 + (1 − t_target) × (D/E)_target ]

Equity risk premium — and the country-risk premium debate

ERP is the expected excess return of equities over the risk-free rate. The standard developed-market estimate is 5-7%, drawn from one of three approaches: historical (long-run realised excess return), implied (back out the ERP that justifies current equity prices), or survey (Pablo Fernandez's annual survey of textbook authors and CFO estimates). Each gives slightly different numbers; reasonable analysts disagree by 1-2 percentage points.

For Kenya and other emerging markets, the additional country-risk premium reflects political, currency, and institutional risks not captured by the developed-market ERP. Damodaran publishes country-risk premiums annually; Kenya's typical CRP is around 4-6% on top of the developed-market ERP, giving a total Kenyan ERP of around 9-13%. Three honest schools of thought on how to handle the country risk: (1) add CRP to ERP — the standard practice; (2) adjust cash flows for country risk and use a developed-market ERP — cleaner conceptually, hard to execute; (3) scale by relative volatility — historical Kenya equity volatility divided by US equity volatility, times the US ERP. Each gives different numbers; document your choice and apply it consistently across the comparable set.

Putting it all together — a worked Kenyan example

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Computing cost of equity for a Kenyan listed bank, mid-2025:
Rf — 10-year Kenyan T-bond yield: 14.0%
β — comparable-bank unlevered beta = 0.85
Tax-adjusted target D/E ≈ 0.20 (banks have leverage but most is non-interest-bearing deposits)
Re-levered β = 0.85 × [1 + (1 − 0.30) × 0.20] = 0.85 × 1.14 = 0.97
ERP — developed-market ERP (Damodaran): 5.5%
Plus Kenya country risk premium (Damodaran): 5.0%
Total Kenya ERP: 10.5%
Ke = Rf + β × ERP
= 0.14 + 0.97 × 0.105
= 0.14 + 0.102
= 0.242 = 24.2% nominal KES
Reading: equity investors in this Kenyan bank require approximately
a 24.2% annual return in shilling terms to compensate for the bank's
beta-adjusted exposure to Kenya country risk. This is the Ke that
flows into the WACC computation in the previous module.

Methodology choices, not laws

Cost of equity is a model output, not a physical constant. Two senior analysts can produce 18% and 25% Ke for the same Kenyan company using different ERP and beta methodologies and both be defensible. The point is to pick a method, document it, and use it consistently across all the comparable companies in your analysis. Internal consistency matters far more than absolute precision — what kills DCF credibility is using one methodology for the target and a different one for the peers, which lets the answer be quietly tilted by methodology choice.

Exercise

Compute cost of equity for a Kenyan-listed manufacturer with the following inputs: 10-year Kenyan T-bond yield 14.5%; developed-market ERP 5.5%; Kenya country-risk premium 4.5%; comparable manufacturers (in the US/EU) have an average regression-derived levered β of 1.10; average comp tax rate 25%; average comp D/E 0.45. Target Kenyan manufacturer has tax rate 30% and D/E of 0.55. (1) Compute the unlevered comparable beta. (2) Re-lever to the target's structure. (3) Compute Ke. (4) A junior analyst on your team says 'beta of 1.10 from international comps doesn't really apply to a Kenyan business' — is that right?

Key takeaways

  • Ke = Rf + β × ERP. Match currency: KES cash flows → KES Rf, US cash flows → US Rf
  • Comparable-company unlevered beta beats regression beta for thinly-traded emerging-market stocks
  • Country risk premium for Kenya: typically 4-6% on top of developed-market ERP; check Damodaran's tables for current values
  • Document your methodology and use it consistently across the comparable set — relative discipline matters more than absolute precision

Further reading

  1. 01
  2. 02

    Equity Premium: Historical, Expected, Required and Implied — Survey of 92 Textbooks

    Pablo Fernandez · IESE Business School Working Paper · 2019

  3. 03

    Country Risk: Determinants, Measures and Implications

    Aswath Damodaran · NYU Stern Working Paper · 2023

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