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Chapter 11

                                              Stock Valuation and Risk


Financial Markets and Institutions, 7e, Jeff Madura
Copyright ©2006 by South-Western, a division of Thomson Learning. All rights reserved.

                                                                                         1
Chapter Outline
   Stock valuation methods
   Determining the required rate of return to value stocks
   Factors that affect stock prices
   Role of analysts in valuing stocks
   Stock risk
   Applying value at risk
   Forecasting stock price volatility and beta
   Stock performance measurement
   Stock market efficiency
   Foreign stock valuation, performance, and efficiency


                                                              2
Stock Valuation Methods
   The price-earnings (PE) method assigns the
    mean PE ratio based on expected earnings of
    all traded competitors to the firm’s expected
    earnings for the next year
     Assumes    future earnings are an important
      determinant of a firm’s value
     Assumes that the growth in earnings in future years
      will be similar to that of the industry



                                                            3
Stock Valuation Methods (cont’d)
   Price-earnings (PE) method (cont’d)
     Reasons     for different valuations
          Investors may use different forecasts for the firm’s
           earnings or the mean industry earnings
          Investors disagree on the proper measure of earnings
     Limitations    of the PE method
          May result in inaccurate valuation for a firm if errors are
           made in forecasting future earnings or in choosing the
           industry composite
          Some question whether an investor should trust a PE ratio



                                                                         4
Valuing A Stock Using the PE
  Method
  A firm is expected to generate earnings of $2 per
  share next year. The mean ratio of share price
  to expected earnings of competitors in the
  same industry is 14. What is the valuation of
  ?the firm’s shares according to the PE method
Valuation per share = (Expected earnings of firm per share) × (Mean industry PE ratio)
                    = $2 × 14 = $28




                                                                                         5
Stock Valuation Methods (cont’d)
   Dividend discount model
     John  Williams (1931) stated that the price of a stock
      should reflect the present value of the stock’s future
      dividends:                  k
                              ∞
                                     Dt
                     Price = ∑
                             t =1 (1 + k )t
          D can be revised in response to uncertainty about the
           firm’s cash flows
          k can be revised in response to changes in the required
           rate of return by investors



                                                                     6
Stock Valuation Methods (cont’d)
   Dividend discount model (cont’d)
     For a constant dividend, the cash flow is a
      perpetuity:
                           ∞
                                   Dt      D
                 Price =   ∑
                           t =1
                                         =
                                (1 + k )t k
     For  a constantly growing dividend, the cash flow
      is a growing perpetuity:
                            ∞
                                   Dt      D1
                 Price =   ∑
                           t =1
                                         =
                                (1 + k )t k − g

                                                          7
Valuing A Stock Using the
Dividend Discount Model
Example 1: A firm is expected to pay a dividend
of $2.10 per share every year in the
foreseeable future. Investors require a return
of 15% on the firm’s stock. According to the
dividend discount model, what is a fair price
?for the firm’s stock
                      ∞
                              Dt       D $2.10
            Price =   ∑
                      t =1 (1 + k )
                                    t
                                      = =
                                       k  15%
                                               = $14


                                                       8
Valuing A Stock Using the
Dividend Discount Model
Example 2: A firm is expected to pay a dividend
of $2.10 per share in one year. In every
subsequent year, the dividend is expected to
grow by 3 percent annually. Investors
require a return of 15% on the firm’s stock.
According to the dividend discount model,
?what is a fair price for the firm’s stock
              ∞
                      Dt         D1     $2.10
      Price =∑t =1 (1 + k )
                            t
                              =      =
                                k − g 15% − 3%
                                               = $17.50

                                                          9
Stock Valuation Methods (cont’d)
   Dividend discount model (cont’d)
     Relationship     between dividend discount model
      and PE ratio
          The PE multiple is influenced by the required rate of
           return and the expected growth rate of competitors
          The inverse relationship between required rate of return
           and value exists in both models
          The positive relationship between a firm’s growth rate
           and its value exists in both models




                                                                      10
Stock Valuation Methods (cont’d)
   Dividend discount model (cont’d)
     Limitations      of the dividend discount model
          Errors can be made in determining the:
                Dividend to be paid
                Growth rate
                Required rate of return
          Errors are more pronounced for firms that retain most of
           their earnings




                                                                      11
Stock Valuation Methods (cont’d)
   Adjusting the dividend discount model
     The   value of the stock is:
          The PV of the future dividends over the investment
           horizon
          The PV of the forecasted price at which the stock will
           be sold
                Must estimate the firm’s EPS in the year they plan to sell
                 the stock by applying an annual growth rate to the
                 prevailing EPS




                                                                              12
Using the Adjusted Dividend
Discount Model
Parker Corp. currently has earnings of $10 per
share. Investors expect that the EPS will
growth by 3 percent per year and expect to
sell the stock in four years. What is the EPS
?in four years
   Forecasted earnings in n years = E (1 + G )n
                                   = $10 × (1.03)4 = $11.26



                                                              13
Using the Adjusted Dividend
Discount Model (cont’d)
Other firms in Parker’s industry have a mean PE
ratio of 7. What is the estimated stock price in
?four years

Stock price in 4 years = (Earnings in 4 years) × (PE ratio of industry)
                       = $11.26 × 7 = $78.82




                                                                   14
Using the Adjusted Dividend
Discount Model (cont’d)
Parker is expected to pay a dividend of $2 per
share over the next four years. Investors
require a return of 13% on their investment.
Based on this information, what is a fair value
of the stock according to the adjusted
?dividend discount model
           $2        $2       $2       $2     $78.82
    PV =         +        +        +        +
         (1.13 )1 (1.13 )2 (1.13 )3 (1.13 )4 (1.13 )4
       = $54.29

                                                        15
Stock Valuation Methods (cont’d)
   Adjusting the dividend discount model
    (cont’d)
     Limitations   of the adjusted dividend discount
      model
          Errors can be made in deriving the PV of dividends over
           the investment horizon or the forecasted price at which
           the stock can be sold
          Errors can be made if an improper required rate of
           return is used




                                                                     16
Determining the Required Rate of
Return to Value Stocks
   The capital asset pricing model:
     Assumes   that the only important risk is systematic
      risk
     Is not concerned with unsystematic risk
     Suggests that the return on an asset is influenced
      by the prevailing risk-free rate, the market return,
      and the covariance between a stock’s return and the
      market’s return:
                 R j = Rf + B j ( R m − Rf )

                                                             17
Determining the Required Rate of
Return to Value Stocks (cont’d)
   The capital asset pricing model (cont’d)
       Estimating the risk-free rate and the market risk premium
            The yield on newly issued T-bonds is commonly used as a proxy
             for the risk-free rate
            The terms within the parentheses measure the market risk
             premium
            Historical data over 30 or more years can be used to determine
             the average market risk premium over time
       Estimating the firm’s beta
            Beta reflects the sensitivity of the stock’s return to the market’s
             overall return
            Beta is typically measured with monthly or quarterly data over the
             last four years or so


                                                                                   18
Using the CAPM

Fantasia Corp. has a beta of 1.7. The prevailing
risk-free rate is 5% and the market risk
premium is 5%. What is the required rate of
return of Fantasia Corp. according to the
?CAPM
            R j = R f + B j ( R m − Rf )
                = 5% + 1.7(10% − 5%)
                = 13.5%

                                                   19
Determining the Required Rate of
Return to Value Stocks (cont’d)
   The capital asset pricing model (cont’d)
     Limitations     of the CAPM
          A study by Fama and French found that beta is unrelated
           to the return on stock over the 1963–1990 period
          Chan and Lakonishok:
               Found that the relation between stock returns and beta varied
                with the time period used
               Concluded that it is appropriate to question whether beta is
                the driving force behind stock returns
               Found that firms with the highest betas performed much
                worse than firms with low betas
               Found that high-beta firms outperformed low-beta firms
                during market upswings

                                                                                20
Determining the Required Rate of
Return to Value Stocks (cont’d)
   Arbitrage pricing model
     Suggests   that a stock’s price can be influenced by a
      set of factors in addition to the market
          e.g., economic growth, inflation
     In equilibrium, expected returns on assets are
      linearly related to the covariance between assets
      returns and the factors:
                                     m
                     E (R ) = B0 +   ∑B F
                                     i =1
                                            i   i



                                                               21
Factors That Affect Stock Prices
   Economic factors
     Impact    of economic growth
          An increase in economic growth increases expected cash
           flows and value
          Indicators such as employment, GDP, retail sales, and
           personal income are monitored by market participants
     Impact    of interest rates
          Given a choice of risk-free Treasury securities or stocks,
           stocks should only be purchased if they offer a sufficiently
           high expected return


                                                                          22
Factors That Affect Stock Prices
(cont’d)
   Economic factors (cont’d)
     Impact      of the dollar’s exchange rate value
          The value of the dollar affects U.S. stocks because:
                Foreign investors purchase U.S. stocks when the dollar is
                 weak
                Stock prices are affected by the impact of the dollar’s
                 changing value on cash flows
                Some U.S. firms are involved in exporting
                U.S.-based MNCs have some earnings in foreign currencies
                Exchange rates may affect expectations of other economic
                 factors


                                                                             23
Factors That Affect Stock Prices
(cont’d)
   Market-related factors
       Investor sentiment
            In some periods, stock market performance is not highly
             correlated with existing economic conditions
            Stocks can exhibit excessive volatility because their prices are
             partially driven by fads and fashions
            A study by Roll found that only one-third of the variation in stocks
             returns can be explained by systematic economic forces
       January effect
            Many portfolio managers invest in riskier small stocks at the
             beginning of the year and shift to larger companies near the end
             of the year
            Places upward pressure on small stocks in January


                                                                                    24
Factors That Affect Stock Prices
(cont’d)
   Firm-specific factors
       Some firms are more exposed to conditions within their own
        industry than to general economic conditions, so participants
        monitor:
            Industry sales forecasts
            Entry into the industry by new competitors
            Price movements of the industry’s products
       Market participants focus on announcements that signal
        information about a firm’s sales growth, earnings, or
        characteristics that cause a revision in the expected cash
        flows


                                                                        25
Factors That Affect Stock Prices
(cont’d)
   Firm-specific factors (cont’d)
       Dividend policy changes
            An increase in dividends may reflect the firm’s expectation that it
             can more easily afford to pay dividends
       Earnings surprises
            When a firm’s announced earnings are higher than expected,
             investors may raise their estimates of the firm’s future cash flows
       Acquisitions and divestitures
            Expected acquisitions typically result in an increased demand for
             the target’s stock and raise the stock price
            The effect on the acquiring firm is less clear
       Expectations
            Investors attempt to anticipate new policies so they can make
             their move before other investors


                                                                                   26
Factors That Affect Stock Prices
(cont’d)
   Integration of factors affecting stock prices
     Whenever   economic indicators signal the
      expectation of higher interest rates, there is upward
      pressure on the required rate of return
     Firms’ expected future cash flows are influenced by
      economic conditions, industry conditions, and firm-
      specific conditions




                                                              27
Role of Analysts in Valuing Stocks
   Many investors rely on opinions of stock analysts
    employed by securities firms or other financial firms
   Many analysts are assigned to specific stocks and
    issue ratings that can indicate whether investors should
    buy or sell the stock
   A 2001 study by Thomson Financial determined that
    analysts at the largest brokerage firms typically
    recommended “sell” for less than 1 percent of all the
    stocks for which they provided ratings


                                                               28
Role of Analysts in Valuing Stocks
(cont’d)
   Conflicts of interest
      Many analysts are employed by securities firms that have other
       investment banking relationships with rated firms
      Some analysts may own the stock of some of the firms they rate
   Impact of disclosure regulations
        In October 2000, the SEC enacted Regulation FD, which requires
         firms to disclose any significant information simultaneously to all
         market participants
   Unbiased analyst rating services
      Popular rating services include Morningstar, Value Line, and
       Investor’s Business Daily
      Analyst rating services typically charge subscribers between $100
       and $600 per year



                                                                               29
Stock Risk
   Risk reflects the uncertainty about future returns such
    that the actual return may be less than expected
   The holding period return is measured as:
                         (SP − INV ) + D
                     R=
                              INV
     The main source of uncertainty is the price at which the stock
      can be sold
     Dividends tend to be much more stable than stock price




                                                                       30
Stock Risk (cont’d)
   Measures of risk
     The   volatility of a stock:
          May indicate the degree of uncertainty surrounding the
           stock’s future returns
          Reflects total risk because it reflects movements in stock
           prices for any reason




                                                                        31
Stock Risk (cont’d)
   Measures of risk (cont’d)
     The   volatility of a stock portfolio depends on:
          The volatility of the individual stocks in the portfolio
          The correlations between returns of the stocks in the
           portfolio
          The proportion of total funds invested in each stock
          A portfolio containing some stocks with low or negative
           correlation will exhibit less volatility

           σ p = w i2σ i2 + w 2σ 2 + 2w i w j σ i σ j CORRij
                              j  j




                                                                      32
Stock Risk (cont’d)
   Measures of risk (cont’d)
     The   beta of a stock:
          Measures the sensitivity of its returns to market returns
          Is used by many investors who have a diversified portfolio
           of stocks
          Can be estimated by obtaining returns of the firm and the
           stock market and applying regression analysis to derive
           the slope coefficient:

                      R jt = B0 + B1Rmt + ut


                                                                        33
Stock Risk (cont’d)
   Measures of risk (cont’d)
     The   beta of a stock portfolio:
          Is useful for investors holding more than one stock
          Can be measured as a weighted average of the betas of
           stocks in the portfolio, with the weights reflecting the
           proportion of funds invested in each stock:

                               Bp =    ∑w B   i   i
                The risk of a high-beta portfolio can be reduced by replacing
                 some of the high-beta stocks with low-beta stocks



                                                                                 34
Stock Risk (cont’d)
   Measures of risk (cont’d)
       Value at risk:
            Is a risk measurement the estimates the largest expected loss to
             a particular investment position for a specified confidence level
            Became very popular in the late 1990s after some mutual funds
             and pension funds experienced abrupt large losses
            Is intended to warn investors about the potential maximum loss
             that could occur
            Focuses on the pessimistic portion of the probability distribution of
             returns
            Is commonly used to measure the risk of a portfolio



                                                                                     35
Applying Value at Risk
   Methods of determining the maximum
    expected loss
     Use of historical returns to derive the maximum
      expected loss
          e.g., an investor may determine that out of the last 100
           trading days, a stock experienced a decline of greater than
           7 percent on 5 different days
          The investor could infer a maximum daily loss of no more
           than 7 percent for that stock based on a 95 percent
           confidence level


                                                                         36
Applying Value at Risk (cont’d)
   Methods of determining the maximum
    expected loss (cont’d)
     Use of standard deviation to derive the maximum
      expected loss
          The standard deviation of daily returns over the previous
           period can be used and applied to derive boundaries for a
           specific confidence level
     Use   of beta to derive the maximum expected loss




                                                                       37
Using the Standard Deviation to
Derive the Maximum Expected Loss

The standard deviation of daily returns for a
stock in a recent period is 1%. The 95%
confidence level is desired for the maximum
loss. The stock has an expected daily return
of .1%. What is the lower boundary of
?expected returns

       .1% − [1.65 × (1%)] = −1.55%

                                                38
Using Beta to Derive the Maximum
Expected Loss

A stock’s beta over the last 100 days is 1.3. The
stock market is expected to perform no worse
 than–2.1% on a daily basis based on a 95%
confidence level. What is the maximum loss
to the stock over a given day based on this
?information
            1.3 × ( −2.1%) = −2.73%

                                                    39
Applying Value at Risk (cont’d)
   Deriving the maximum dollar loss
     The maximum percentage loss for a given confidence level
      can be applied to derive the maximum dollar loss of a
      particular investment
     Value at risk is commonly applied to assess the maximum
      possible loss for an entire portfolio
   Common adjustments to value at risk applications
     Investment horizon desired
     Length of historical period used
     Time-varying risk
     Restructuring the investment portfolio




                                                                 40
Forecasting Stock Price Volatility
and Beta
   Methods of forecasting stock price volatility
     The historical method uses a historical period to derive a
      stock’s standard deviation of returns and uses that estimate as
      the forecast for the future
     The time-series method uses volatility patterns in previous
      periods
            Places more weight on the most recent data
            Normally uses the weights and number of periods that were the
             most accurate in previous periods
       The implied standard deviation derives the estimate from the
        stock option pricing model
            Represents the anticipated volatility of the stock over a future
             period by investors trading the stock




                                                                                41
Forecasting Stock Price Volatility
and Beta (cont’d)
   Forecasting a stock portfolio’s volatility
     Portfolio volatility can be forecast by first deriving
      forecasts of individual volatility levels
     Next, the correlation coefficient for each pair of
      stock in the portfolio is forecast by estimating the
      correlation in recent periods
   Forecasting a stock portfolio’s beta
     Firstforecast the betas of the individual stocks and
      then take a weighted average

                                                               42
Stock Performance Measurement
   The Sharpe index is appropriate when total variability is
    thought to be the appropriate measure of risk:
                                         R − Rf
                       Sharpe index =
                                           σ
       The higher the stocks’ mean return relative to the mean risk-
        free rate and the lower the standard deviation, the higher the
        Sharpe index
       Measures the excess return above the risk-free rate per period




                                                                         43
Using the Sharpe Index

Patrick stock has an average return of 15% and
an average standard deviation of 13%. The
average risk-free rate is 8%. What is the
?Sharpe index for Patrick stock

                          R − Rf
            Sharpe index =
                            σ
                          15% − 8%
                        =          = 0.54
                            13%


                                                 44
Stock Performance Measurement
(cont’d)
   The Treynor index is appropriate when beta is
    thought to be the most appropriate type of risk:

                                 R − Rf
               Treynor index =
                                   B
     The  higher the Treynor index, the higher the return
      relative to the risk-free rate, per unit of risk




                                                             45
Using the Treynor Index

Patrick stock has an average return of 15% and
a beta of 1.8. The average risk-free rate is
8%. What is the Sharpe index for Patrick
?stock

                         R − Rf
         Treynor index =
                           B
                         15% − 8%
                       =          = 0.04
                            1.8

                                                 46
Stock Market Efficiency
   Forms of efficiency
     Weak-form efficiency suggests that security prices reflect all
      trade-related information
     Semistrong-form efficiency suggests that security prices fully
      reflect all public information
            Includes announcements by firms, economic news or events, and
             political news or events
            If semistrong-form efficiency holds, weak-form efficiency holds as
             well
       Strong-form efficiency suggests that security prices fully reflect
        all information, including private or insider information



                                                                                  47
Stock Market Efficiency (cont’d)
   Tests of the efficient market hypothesis
     Test   of weak-form efficiency
          Tested by searching for a nonrandom pattern in security
           prices
          Studies have generally found that historical price changes
           are independent over time
          There is some evidence that stocks:
                Have performed better in January (January effect)
                Have performed better on Fridays than on Mondays
                 (weekend effect)
                Have performed well on the trading days just before holidays
                 (holiday effect)


                                                                                48
Stock Market Efficiency (cont’d)
   Tests of the efficient market hypothesis
       Test of semistrong-form efficiency
            Tested by assessing how security returns adjust to particular
             announcements
            Generally, security prices immediately reflect the information from
             announcements
            There is evidence of unusual profits from investing in IPOs
       Test of strong-form efficiency
            Difficult to test
            There is evidence that share prices of target firms rise
             substantially when the acquisition is announced
            Insiders are discouraged from using inside information because it
             is illegal




                                                                                   49
Foreign Stock Valuation,
Performance, and Efficiency
   Valuation of foreign stocks
       PE method
            The expected EPS of the foreign firm are multiplied by the
             appropriate PE ratio based on the firm’s risk and local industry
            The PE ratio for a given industry may change continuously in
             some foreign markets
            The PE ratio for a particular industry may need to be adjusted for
             the firm’s country
       Dividend discount model
            An adjustment for expected exchange rate movements is required
            The value of foreign stocks from a U.S. perspective is subject to
             more uncertainty than the value of the stock from a local
             investor’s perspective


                                                                                  50
Foreign Stock Valuation, Performance,
and Efficiency (cont’d)
   Measuring performance from investing in
    foreign stocks
     The performance measurement should control for
      general market movements and exchange rate
      movements in the region where the portfolio
      managers has been assigned to invest funds




                                                       51
Foreign Stock Valuation, Performance,
and Efficiency (cont’d)
   Performance from global diversification
     Stock  investors can benefit by diversifying
      internationally
          Economies do not move in tandem
          Stock markets across countries may respond to some of
           the same expectations
          In general, correlations between stock indexes have been
           higher in recent years than they were several years ago




                                                                      52
Foreign Stock Valuation, Performance,
and Efficiency (cont’d)
   Performance from global diversification (cont’d)
       Integration of markets during the 1987 crash
            There was a high correlation among country stock markets during
             the crash
            This suggests that the underlying cause of the crash
             systematically affected all markets
       Integration of markets during mini-crashes
            On August 27, 1998 (“Bloody Thursday”) most stock markets
             around the world experienced losses
            Illustrates that even a well-diversified international portfolio is not
             insulated from some events
       Diversification among emerging stock markets
            These markets have lower correlations with developed countries,
             but also higher risk



                                                                                       53
Foreign Stock Valuation, Performance,
and Efficiency (cont’d)
   International market efficiency
     Some   foreign markets are inefficient because of the
      small number of analysts and portfolio managers
     Market inefficiencies are more common in small
      foreign stock markets
     Insider trading is more prevalent in many foreign
      markets
     Political and exchange rate risk may be high in
      some foreign markets


                                                              54

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Valuing stocks and assesing risk ch.7 (uts)

  • 1. Chapter 11 Stock Valuation and Risk Financial Markets and Institutions, 7e, Jeff Madura Copyright ©2006 by South-Western, a division of Thomson Learning. All rights reserved. 1
  • 2. Chapter Outline  Stock valuation methods  Determining the required rate of return to value stocks  Factors that affect stock prices  Role of analysts in valuing stocks  Stock risk  Applying value at risk  Forecasting stock price volatility and beta  Stock performance measurement  Stock market efficiency  Foreign stock valuation, performance, and efficiency 2
  • 3. Stock Valuation Methods  The price-earnings (PE) method assigns the mean PE ratio based on expected earnings of all traded competitors to the firm’s expected earnings for the next year  Assumes future earnings are an important determinant of a firm’s value  Assumes that the growth in earnings in future years will be similar to that of the industry 3
  • 4. Stock Valuation Methods (cont’d)  Price-earnings (PE) method (cont’d)  Reasons for different valuations  Investors may use different forecasts for the firm’s earnings or the mean industry earnings  Investors disagree on the proper measure of earnings  Limitations of the PE method  May result in inaccurate valuation for a firm if errors are made in forecasting future earnings or in choosing the industry composite  Some question whether an investor should trust a PE ratio 4
  • 5. Valuing A Stock Using the PE Method A firm is expected to generate earnings of $2 per share next year. The mean ratio of share price to expected earnings of competitors in the same industry is 14. What is the valuation of ?the firm’s shares according to the PE method Valuation per share = (Expected earnings of firm per share) × (Mean industry PE ratio) = $2 × 14 = $28 5
  • 6. Stock Valuation Methods (cont’d)  Dividend discount model  John Williams (1931) stated that the price of a stock should reflect the present value of the stock’s future dividends: k ∞ Dt Price = ∑ t =1 (1 + k )t  D can be revised in response to uncertainty about the firm’s cash flows  k can be revised in response to changes in the required rate of return by investors 6
  • 7. Stock Valuation Methods (cont’d)  Dividend discount model (cont’d)  For a constant dividend, the cash flow is a perpetuity: ∞ Dt D Price = ∑ t =1 = (1 + k )t k  For a constantly growing dividend, the cash flow is a growing perpetuity: ∞ Dt D1 Price = ∑ t =1 = (1 + k )t k − g 7
  • 8. Valuing A Stock Using the Dividend Discount Model Example 1: A firm is expected to pay a dividend of $2.10 per share every year in the foreseeable future. Investors require a return of 15% on the firm’s stock. According to the dividend discount model, what is a fair price ?for the firm’s stock ∞ Dt D $2.10 Price = ∑ t =1 (1 + k ) t = = k 15% = $14 8
  • 9. Valuing A Stock Using the Dividend Discount Model Example 2: A firm is expected to pay a dividend of $2.10 per share in one year. In every subsequent year, the dividend is expected to grow by 3 percent annually. Investors require a return of 15% on the firm’s stock. According to the dividend discount model, ?what is a fair price for the firm’s stock ∞ Dt D1 $2.10 Price =∑t =1 (1 + k ) t = = k − g 15% − 3% = $17.50 9
  • 10. Stock Valuation Methods (cont’d)  Dividend discount model (cont’d)  Relationship between dividend discount model and PE ratio  The PE multiple is influenced by the required rate of return and the expected growth rate of competitors  The inverse relationship between required rate of return and value exists in both models  The positive relationship between a firm’s growth rate and its value exists in both models 10
  • 11. Stock Valuation Methods (cont’d)  Dividend discount model (cont’d)  Limitations of the dividend discount model  Errors can be made in determining the:  Dividend to be paid  Growth rate  Required rate of return  Errors are more pronounced for firms that retain most of their earnings 11
  • 12. Stock Valuation Methods (cont’d)  Adjusting the dividend discount model  The value of the stock is:  The PV of the future dividends over the investment horizon  The PV of the forecasted price at which the stock will be sold  Must estimate the firm’s EPS in the year they plan to sell the stock by applying an annual growth rate to the prevailing EPS 12
  • 13. Using the Adjusted Dividend Discount Model Parker Corp. currently has earnings of $10 per share. Investors expect that the EPS will growth by 3 percent per year and expect to sell the stock in four years. What is the EPS ?in four years Forecasted earnings in n years = E (1 + G )n = $10 × (1.03)4 = $11.26 13
  • 14. Using the Adjusted Dividend Discount Model (cont’d) Other firms in Parker’s industry have a mean PE ratio of 7. What is the estimated stock price in ?four years Stock price in 4 years = (Earnings in 4 years) × (PE ratio of industry) = $11.26 × 7 = $78.82 14
  • 15. Using the Adjusted Dividend Discount Model (cont’d) Parker is expected to pay a dividend of $2 per share over the next four years. Investors require a return of 13% on their investment. Based on this information, what is a fair value of the stock according to the adjusted ?dividend discount model $2 $2 $2 $2 $78.82 PV = + + + + (1.13 )1 (1.13 )2 (1.13 )3 (1.13 )4 (1.13 )4 = $54.29 15
  • 16. Stock Valuation Methods (cont’d)  Adjusting the dividend discount model (cont’d)  Limitations of the adjusted dividend discount model  Errors can be made in deriving the PV of dividends over the investment horizon or the forecasted price at which the stock can be sold  Errors can be made if an improper required rate of return is used 16
  • 17. Determining the Required Rate of Return to Value Stocks  The capital asset pricing model:  Assumes that the only important risk is systematic risk  Is not concerned with unsystematic risk  Suggests that the return on an asset is influenced by the prevailing risk-free rate, the market return, and the covariance between a stock’s return and the market’s return: R j = Rf + B j ( R m − Rf ) 17
  • 18. Determining the Required Rate of Return to Value Stocks (cont’d)  The capital asset pricing model (cont’d)  Estimating the risk-free rate and the market risk premium  The yield on newly issued T-bonds is commonly used as a proxy for the risk-free rate  The terms within the parentheses measure the market risk premium  Historical data over 30 or more years can be used to determine the average market risk premium over time  Estimating the firm’s beta  Beta reflects the sensitivity of the stock’s return to the market’s overall return  Beta is typically measured with monthly or quarterly data over the last four years or so 18
  • 19. Using the CAPM Fantasia Corp. has a beta of 1.7. The prevailing risk-free rate is 5% and the market risk premium is 5%. What is the required rate of return of Fantasia Corp. according to the ?CAPM R j = R f + B j ( R m − Rf ) = 5% + 1.7(10% − 5%) = 13.5% 19
  • 20. Determining the Required Rate of Return to Value Stocks (cont’d)  The capital asset pricing model (cont’d)  Limitations of the CAPM  A study by Fama and French found that beta is unrelated to the return on stock over the 1963–1990 period  Chan and Lakonishok:  Found that the relation between stock returns and beta varied with the time period used  Concluded that it is appropriate to question whether beta is the driving force behind stock returns  Found that firms with the highest betas performed much worse than firms with low betas  Found that high-beta firms outperformed low-beta firms during market upswings 20
  • 21. Determining the Required Rate of Return to Value Stocks (cont’d)  Arbitrage pricing model  Suggests that a stock’s price can be influenced by a set of factors in addition to the market  e.g., economic growth, inflation  In equilibrium, expected returns on assets are linearly related to the covariance between assets returns and the factors: m E (R ) = B0 + ∑B F i =1 i i 21
  • 22. Factors That Affect Stock Prices  Economic factors  Impact of economic growth  An increase in economic growth increases expected cash flows and value  Indicators such as employment, GDP, retail sales, and personal income are monitored by market participants  Impact of interest rates  Given a choice of risk-free Treasury securities or stocks, stocks should only be purchased if they offer a sufficiently high expected return 22
  • 23. Factors That Affect Stock Prices (cont’d)  Economic factors (cont’d)  Impact of the dollar’s exchange rate value  The value of the dollar affects U.S. stocks because:  Foreign investors purchase U.S. stocks when the dollar is weak  Stock prices are affected by the impact of the dollar’s changing value on cash flows  Some U.S. firms are involved in exporting  U.S.-based MNCs have some earnings in foreign currencies  Exchange rates may affect expectations of other economic factors 23
  • 24. Factors That Affect Stock Prices (cont’d)  Market-related factors  Investor sentiment  In some periods, stock market performance is not highly correlated with existing economic conditions  Stocks can exhibit excessive volatility because their prices are partially driven by fads and fashions  A study by Roll found that only one-third of the variation in stocks returns can be explained by systematic economic forces  January effect  Many portfolio managers invest in riskier small stocks at the beginning of the year and shift to larger companies near the end of the year  Places upward pressure on small stocks in January 24
  • 25. Factors That Affect Stock Prices (cont’d)  Firm-specific factors  Some firms are more exposed to conditions within their own industry than to general economic conditions, so participants monitor:  Industry sales forecasts  Entry into the industry by new competitors  Price movements of the industry’s products  Market participants focus on announcements that signal information about a firm’s sales growth, earnings, or characteristics that cause a revision in the expected cash flows 25
  • 26. Factors That Affect Stock Prices (cont’d)  Firm-specific factors (cont’d)  Dividend policy changes  An increase in dividends may reflect the firm’s expectation that it can more easily afford to pay dividends  Earnings surprises  When a firm’s announced earnings are higher than expected, investors may raise their estimates of the firm’s future cash flows  Acquisitions and divestitures  Expected acquisitions typically result in an increased demand for the target’s stock and raise the stock price  The effect on the acquiring firm is less clear  Expectations  Investors attempt to anticipate new policies so they can make their move before other investors 26
  • 27. Factors That Affect Stock Prices (cont’d)  Integration of factors affecting stock prices  Whenever economic indicators signal the expectation of higher interest rates, there is upward pressure on the required rate of return  Firms’ expected future cash flows are influenced by economic conditions, industry conditions, and firm- specific conditions 27
  • 28. Role of Analysts in Valuing Stocks  Many investors rely on opinions of stock analysts employed by securities firms or other financial firms  Many analysts are assigned to specific stocks and issue ratings that can indicate whether investors should buy or sell the stock  A 2001 study by Thomson Financial determined that analysts at the largest brokerage firms typically recommended “sell” for less than 1 percent of all the stocks for which they provided ratings 28
  • 29. Role of Analysts in Valuing Stocks (cont’d)  Conflicts of interest  Many analysts are employed by securities firms that have other investment banking relationships with rated firms  Some analysts may own the stock of some of the firms they rate  Impact of disclosure regulations  In October 2000, the SEC enacted Regulation FD, which requires firms to disclose any significant information simultaneously to all market participants  Unbiased analyst rating services  Popular rating services include Morningstar, Value Line, and Investor’s Business Daily  Analyst rating services typically charge subscribers between $100 and $600 per year 29
  • 30. Stock Risk  Risk reflects the uncertainty about future returns such that the actual return may be less than expected  The holding period return is measured as: (SP − INV ) + D R= INV  The main source of uncertainty is the price at which the stock can be sold  Dividends tend to be much more stable than stock price 30
  • 31. Stock Risk (cont’d)  Measures of risk  The volatility of a stock:  May indicate the degree of uncertainty surrounding the stock’s future returns  Reflects total risk because it reflects movements in stock prices for any reason 31
  • 32. Stock Risk (cont’d)  Measures of risk (cont’d)  The volatility of a stock portfolio depends on:  The volatility of the individual stocks in the portfolio  The correlations between returns of the stocks in the portfolio  The proportion of total funds invested in each stock  A portfolio containing some stocks with low or negative correlation will exhibit less volatility σ p = w i2σ i2 + w 2σ 2 + 2w i w j σ i σ j CORRij j j 32
  • 33. Stock Risk (cont’d)  Measures of risk (cont’d)  The beta of a stock:  Measures the sensitivity of its returns to market returns  Is used by many investors who have a diversified portfolio of stocks  Can be estimated by obtaining returns of the firm and the stock market and applying regression analysis to derive the slope coefficient: R jt = B0 + B1Rmt + ut 33
  • 34. Stock Risk (cont’d)  Measures of risk (cont’d)  The beta of a stock portfolio:  Is useful for investors holding more than one stock  Can be measured as a weighted average of the betas of stocks in the portfolio, with the weights reflecting the proportion of funds invested in each stock: Bp = ∑w B i i  The risk of a high-beta portfolio can be reduced by replacing some of the high-beta stocks with low-beta stocks 34
  • 35. Stock Risk (cont’d)  Measures of risk (cont’d)  Value at risk:  Is a risk measurement the estimates the largest expected loss to a particular investment position for a specified confidence level  Became very popular in the late 1990s after some mutual funds and pension funds experienced abrupt large losses  Is intended to warn investors about the potential maximum loss that could occur  Focuses on the pessimistic portion of the probability distribution of returns  Is commonly used to measure the risk of a portfolio 35
  • 36. Applying Value at Risk  Methods of determining the maximum expected loss  Use of historical returns to derive the maximum expected loss  e.g., an investor may determine that out of the last 100 trading days, a stock experienced a decline of greater than 7 percent on 5 different days  The investor could infer a maximum daily loss of no more than 7 percent for that stock based on a 95 percent confidence level 36
  • 37. Applying Value at Risk (cont’d)  Methods of determining the maximum expected loss (cont’d)  Use of standard deviation to derive the maximum expected loss  The standard deviation of daily returns over the previous period can be used and applied to derive boundaries for a specific confidence level  Use of beta to derive the maximum expected loss 37
  • 38. Using the Standard Deviation to Derive the Maximum Expected Loss The standard deviation of daily returns for a stock in a recent period is 1%. The 95% confidence level is desired for the maximum loss. The stock has an expected daily return of .1%. What is the lower boundary of ?expected returns .1% − [1.65 × (1%)] = −1.55% 38
  • 39. Using Beta to Derive the Maximum Expected Loss A stock’s beta over the last 100 days is 1.3. The stock market is expected to perform no worse than–2.1% on a daily basis based on a 95% confidence level. What is the maximum loss to the stock over a given day based on this ?information 1.3 × ( −2.1%) = −2.73% 39
  • 40. Applying Value at Risk (cont’d)  Deriving the maximum dollar loss  The maximum percentage loss for a given confidence level can be applied to derive the maximum dollar loss of a particular investment  Value at risk is commonly applied to assess the maximum possible loss for an entire portfolio  Common adjustments to value at risk applications  Investment horizon desired  Length of historical period used  Time-varying risk  Restructuring the investment portfolio 40
  • 41. Forecasting Stock Price Volatility and Beta  Methods of forecasting stock price volatility  The historical method uses a historical period to derive a stock’s standard deviation of returns and uses that estimate as the forecast for the future  The time-series method uses volatility patterns in previous periods  Places more weight on the most recent data  Normally uses the weights and number of periods that were the most accurate in previous periods  The implied standard deviation derives the estimate from the stock option pricing model  Represents the anticipated volatility of the stock over a future period by investors trading the stock 41
  • 42. Forecasting Stock Price Volatility and Beta (cont’d)  Forecasting a stock portfolio’s volatility  Portfolio volatility can be forecast by first deriving forecasts of individual volatility levels  Next, the correlation coefficient for each pair of stock in the portfolio is forecast by estimating the correlation in recent periods  Forecasting a stock portfolio’s beta  Firstforecast the betas of the individual stocks and then take a weighted average 42
  • 43. Stock Performance Measurement  The Sharpe index is appropriate when total variability is thought to be the appropriate measure of risk: R − Rf Sharpe index = σ  The higher the stocks’ mean return relative to the mean risk- free rate and the lower the standard deviation, the higher the Sharpe index  Measures the excess return above the risk-free rate per period 43
  • 44. Using the Sharpe Index Patrick stock has an average return of 15% and an average standard deviation of 13%. The average risk-free rate is 8%. What is the ?Sharpe index for Patrick stock R − Rf Sharpe index = σ 15% − 8% = = 0.54 13% 44
  • 45. Stock Performance Measurement (cont’d)  The Treynor index is appropriate when beta is thought to be the most appropriate type of risk: R − Rf Treynor index = B  The higher the Treynor index, the higher the return relative to the risk-free rate, per unit of risk 45
  • 46. Using the Treynor Index Patrick stock has an average return of 15% and a beta of 1.8. The average risk-free rate is 8%. What is the Sharpe index for Patrick ?stock R − Rf Treynor index = B 15% − 8% = = 0.04 1.8 46
  • 47. Stock Market Efficiency  Forms of efficiency  Weak-form efficiency suggests that security prices reflect all trade-related information  Semistrong-form efficiency suggests that security prices fully reflect all public information  Includes announcements by firms, economic news or events, and political news or events  If semistrong-form efficiency holds, weak-form efficiency holds as well  Strong-form efficiency suggests that security prices fully reflect all information, including private or insider information 47
  • 48. Stock Market Efficiency (cont’d)  Tests of the efficient market hypothesis  Test of weak-form efficiency  Tested by searching for a nonrandom pattern in security prices  Studies have generally found that historical price changes are independent over time  There is some evidence that stocks:  Have performed better in January (January effect)  Have performed better on Fridays than on Mondays (weekend effect)  Have performed well on the trading days just before holidays (holiday effect) 48
  • 49. Stock Market Efficiency (cont’d)  Tests of the efficient market hypothesis  Test of semistrong-form efficiency  Tested by assessing how security returns adjust to particular announcements  Generally, security prices immediately reflect the information from announcements  There is evidence of unusual profits from investing in IPOs  Test of strong-form efficiency  Difficult to test  There is evidence that share prices of target firms rise substantially when the acquisition is announced  Insiders are discouraged from using inside information because it is illegal 49
  • 50. Foreign Stock Valuation, Performance, and Efficiency  Valuation of foreign stocks  PE method  The expected EPS of the foreign firm are multiplied by the appropriate PE ratio based on the firm’s risk and local industry  The PE ratio for a given industry may change continuously in some foreign markets  The PE ratio for a particular industry may need to be adjusted for the firm’s country  Dividend discount model  An adjustment for expected exchange rate movements is required  The value of foreign stocks from a U.S. perspective is subject to more uncertainty than the value of the stock from a local investor’s perspective 50
  • 51. Foreign Stock Valuation, Performance, and Efficiency (cont’d)  Measuring performance from investing in foreign stocks  The performance measurement should control for general market movements and exchange rate movements in the region where the portfolio managers has been assigned to invest funds 51
  • 52. Foreign Stock Valuation, Performance, and Efficiency (cont’d)  Performance from global diversification  Stock investors can benefit by diversifying internationally  Economies do not move in tandem  Stock markets across countries may respond to some of the same expectations  In general, correlations between stock indexes have been higher in recent years than they were several years ago 52
  • 53. Foreign Stock Valuation, Performance, and Efficiency (cont’d)  Performance from global diversification (cont’d)  Integration of markets during the 1987 crash  There was a high correlation among country stock markets during the crash  This suggests that the underlying cause of the crash systematically affected all markets  Integration of markets during mini-crashes  On August 27, 1998 (“Bloody Thursday”) most stock markets around the world experienced losses  Illustrates that even a well-diversified international portfolio is not insulated from some events  Diversification among emerging stock markets  These markets have lower correlations with developed countries, but also higher risk 53
  • 54. Foreign Stock Valuation, Performance, and Efficiency (cont’d)  International market efficiency  Some foreign markets are inefficient because of the small number of analysts and portfolio managers  Market inefficiencies are more common in small foreign stock markets  Insider trading is more prevalent in many foreign markets  Political and exchange rate risk may be high in some foreign markets 54