Chapter 6 Notes: Common Stock Valuation

Dividend Discount Model (DDM)
  • Purpose: Value a stock by discounting all expected future dividends

  • Basic formula (present value of future dividends): P0=t=1TDt(1+k)tP0 = \sum_{t=1}^{T} \frac{Dt}{(1+k)^t}

    • where: Dt = dividend paid at year t, k = risk-adjusted discount rate

  • Dividend growth link: future dividends grow at rate g, so
    Dt=D0(1+g)tDt = D0 (1+g)^t

  • Constant growth / finite horizon (T years):
    P0=D0(1+g)kg[1(1+g1+k)T]P0 = \frac{D0(1+g)}{k-g}\left[1-\left(\frac{1+g}{1+k}\right)^T\right]

  • Constant perpetual growth (Gordon growth):
    P0=D0(1+g)kg(k>g)P0 = \frac{D0(1+g)}{k-g}\quad (k>g)

  • Two-stage dividend growth model (two growth phases: g1 for T years, then g2 forever):

    • Part 1 (first T dividends): PV1=t=1TD0(1+g1)t(1+k)tPV1 = \sum_{t=1}^{T} \frac{D0(1+g1)^t}{(1+k)^t}

    • Part 2 (terminal value at T, growing at g2):
      PT=D0(1+g1)T(1+g2)kg2PT = \frac{D0(1+g1)^T (1+g2)}{k-g2} PV2=PT(1+k)TPV2 = \frac{PT}{(1+k)^T}

    • Total: P0=PV1+PV2P0 = PV1 + PV2

  • Estimating growth rate g

    • Historical average growth rate (HARG): use past dividend growth

    • Industry median/average growth rate

    • Sustainable growth rate (SGR)

  • The Growth Rate concepts

    • The Historical Average Growth Rate (Broadway Joe example):

    • Arithmetic Average

    • Geometric Average

    • The Sustainable Growth Rate (SGR)

    • Definition: SGR=ROE×Retention Ratio=ROE×(1Payout Ratio)\text{SGR} = \text{ROE} \times \text{Retention Ratio} = \text{ROE} \times (1 - \text{Payout Ratio})

    • ROE: Return on Equity = Earnings / Equity

    • Payout Ratio: Proportion of earnings paid as dividends

    • Retention Ratio: Proportion of earnings retained for investment

  • The Two-Stage Dividend Growth Model (conceptual)

    • Stage 1: high growth for T years; Stage 2: perpetual growth at a lower rate g2

    • Interpretation: early stage growth dominates price if cash flows are strong early on

  • CVS Health CVS valuation (DDM framework)

    • CAPM discount rate: k=rf+β×MarketRiskPremiumk = r_f + \beta \times \text{MarketRiskPremium}

  • Takeaways from CVS valuation

    • Wide range of values across models is common; valuation is subjective

    • The goal is to select a model you are confident in and that aligns with the firm’s characteristics

    • Morningstar fair value estimate for CVS: around $96 with a possible range from $67.20 to $129.60

  • Useful internet sites (reference)

    • www.aaii.com (The American Association of Individual Investors)

    • www.cfainstitute.org

    • jmdinvestments.blogspot.com

    • www.marketwatch.com

    • www.hoovers.com

    • www.zacks.com

    • www.fool.com

  • Chapter Review: Key topics

    • Security Analysis: Be careful; use Dividend Discount Model variants; growth and sustainability considerations

    • Two Stage DDM; Observations on DDM applications and discount rates

    • Residual Income Model (RIM); Free Cash Flow (FCF) approach; Price Ratio Analysis

    • Applications of price ratio analysis (P/E, P/CF, P/S, P/B)

    • CVS Health Corporation analysis as a case study

  • CVS slide notes (text alt context)

    • CVS Health is an integrated pharmacy healthcare provider with multiple offerings across the U.S.

    • The slide includes data such as beta, fair value considerations, and P/E-related metrics, illustrating how analysts use multiple data sources to estimate value

  • Bottom-line considerations

    • DDM is simple to compute but sensitive to g and k; not ideal for non-dividend firms

    • Two-stage models are more realistic but require careful estimation of g1, g2, and k

    • RIM provides a framework to value non-dividend payers, linking book value, earnings, and required return; can resemble perpetual growth under certain conditions

    • FCF-based valuation yields firm value and is useful when cash flows, not dividends, drive value; requires adjusting for debt and cash to obtain equity value

    • Price ratio analyses provide quick benchmarks but can yield divergent results across models; cross-check with fundamentals and comparable firms

  • Final takeaway

    • There is substantial subjectivity in stock valuation; different models produce different estimates

    • The objective is to select robust models and inputs, and to understand the sensitivity of results to assumptions