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Chapter 8 Stock Valuation and Investment Decisions

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Title: Chapter 8 Stock Valuation and Investment Decisions


1
Chapter 8 Stock Valuation and Investment
Decisions
2
Valuation Obtaining a Standard of Performance
  • Valuing a Company and Its Future
  • Stock Valuation. The process by which the
    underlying value of a stock is established on the
    basis of its forecasted risk and return
    performance.
  • Its not the past performance of a stock that
    matters but its future performance.
  • Because the value of a stock is a function of its
    future returns, the investors task is to use the
    available historical data to project key
    financial variables.
  • Forecasted Sales and Profits
  • The key to our forecast is of course the future
    behavior of the company.
  • The most important aspects to consider are the
    sales projections and the trend in the net profit
    margin (See Equation 8.1).

3
Valuation Obtaining a Standard of Performance
  • Valuing a Company and Its Future (continued)
  • Forecasted Dividend and Prices. Given the
    corporate earnings forecast, we need three
    additional items of information to determine
    forecasted stock returns
  • An estimate of the dividend payout ratio (use
    past data to forecast the future)
  • The number of common shares that will be
    outstanding over the forecast period (use past
    data to forecast the future).
  • A future price/earnings (P/E) ratio. While the
    first two variables are not terribly difficult to
    forecast, the future P/E ratio is.
  • The P/E ratio is a function of several variables,
    including
  • The growth rate in earnings (higher P/Es can be
    expected with higher growth).
  • The general state of the market (higher P/Es
    expected with optimistic market).

4
Valuation Obtaining a Standard of Performance
  • Valuing a Company and Its Future (continued)
  • Forecasted Dividend and Prices (continued).
  • The P/E ratio is a function of several variables,
    including (continued)
  • The amount of debt in the companys capital
    structure (lower debt lower financial risk
    higher P/Es).
  • The current and projected rate of inflation
    (generally, though not always, higher inflation
    results in higher required returns, and lower
    stock prices and P/Es).
  • The level of dividends (although seemingly
    contradictory, high dividend payouts usually
    correspond to low P/E ratios).
  • Average Market Multiple. A useful starting point
    for evaluating the P/E, it is simply the average
    P/E ratio of stocks in the marketplace because it
    indicates the general state of the market (See
    Table 8.1).

5
Valuation Obtaining a Standard of Performance
  • Valuing a Company and Its Future (continued)
  • Forecasted Dividend and Prices (continued).
  • Relative P/E Multiple. The relative P/E multiple
    is a measure of how a stocks P/E behaves
    relative to the average market multiple.
  • High relative P/Es indicate how aggressively a
    stock has been priced relative to the market.
  • Other things equal, a higher relative P/E is
    desirable. But be cautious of the higher
    volatility.
  • Estimating EPS (See Equation 8.2 or Equation 8.3)
  • Estimating Dividends Per Share (See Equation 8.4)
  • Estimating Share Price (See Equation 8.5)
  • Putting it all Together.

6
Valuation Obtaining a Standard of Performance
  • Developing an Estimate of Future Behavior.
  • Universal Office Furnishings Case
  • Selected Historical Financial Data (See Table
    8.2)
  • Summary Forecast Statistics (See Table 8.3)
  • The Valuation Process
  • Valuation is a process by which an investor uses
    risk and return concepts to determine the worth
    of a security.
  • Stock Valuation Models determine either an
    expected rate of return or the intrinsic worth of
    a stock.
  • We would consider investing in a stock if (a) its
    computed expected return equals or exceeds our
    required return or if (b) its intrinsic value or
    worth equals or exceeds the current market price.

7
Valuation Obtaining a Standard of Performance
  • The Valuation Process (continued)
  • No Guarantee! Remember that there is absolutely
    no assurance that the actual outcome will be even
    remotely similar to the forecasted behavior.
  • Required Rate of Return
  • Using CAPM (See Equation 8.6)
  • Beta can be easily obtained from Value Line,
    Quicken.com, or a variety of other print or
    online sources.
  • The Risk-Free Rate can be estimated from the
    average return from Treasury Bills during the
    last year or so.
  • The Market Return can be estimated from the
    average stock returns over the past 10 to 15
    years (or more) or so (See Table 6.1).
  • Using a Subjective Approach

8
Stock Valuation Models
  • Types of Investors
  • Value Investors. Investors who search for value
    in a companys financials by keying in on such
    factors as book value, debt load, return on
    equity, and cash flow.
  • Growth Investors. Investors who concentrate
    solely on growth in projected earnings by
    keying in on such factors as large future
    earnings, and high P/Es.
  • Dividend Valuation Models
  • Zero Growth (See Equation 8.7)
  • Constant Growth (See Equation 8.8 and 8.8a)
  • Variable Growth (See Equation 8.9 and 8.9a, and
    Table 8.4)
  • Defining the Expected Growth Rate (See Equation
    8.10)

9
Stock Valuation Models
  • An Alternative to the DVM
  • A Dividends-and-Earnings Approach. The DE
    approach uses projected dividends, EPS, and P/E
    multiples to value a share of stock (See
    Equations 8.11 and 8.11a).
  • The DE method differs from the variable growth
    model is that it doesnt rely on dividends as the
    principle player in the valuation process.
  • Therefore, it works just as well with companies
    that pay little or no dividends as those that pay
    high dividends.
  • Also, whereas the variable growth model uses
    future dividends to price the stock, the DE
    method employs projected EPS and estimated P/E
    multiples.
  • Using a market or industry P/E as a benchmark,
    you should try to establish a P/E multiple that
    you feel the stock will trade at in the future.
  • See the example at the top of page 334.

10
Stock Valuation Models
  • Determining Expected Return
  • Many investors find it easier and more convenient
    to understand returns rather than present values.
  • The IRR can be computed using the same projected
    cash flows in addition to the current market
    price.
  • Compare the IRR with the CAPM required return.
  • Use Table 8.3 data and see the equation at the
    top of page 335.
  • The Price/Earnings (P/E) Approach
  • The P/E Approach first tries to find the P/E
    ratio thats most appropriate for the stock.
  • This ratio along with estimated (forecasted) EPS,
    is used to determine a reasonable stock price
    (See Equation 8.12).

11
Stock Valuation Models
  • Putting a Value on Tech Stocks (See Table 8.5)
  • Defined
  • Broadly defined, tech stocks are those in which
    the companys core business contains a
    significant technology component.
  • Tech companies are those which are providing the
    technology, not just using it.
  • Tiers of Tech Stocks
  • Top-Tier tech stocks are well-established market
    leaders with solid track records. Most can be
    valued like any other stock
  • Mid-Tier tech stocks are smaller and less
    well-known, but have been around a while and have
    substantial revenues and solid profits year after
    year. Many have very high P/Es so cannot be
    valued using traditional models.
  • Lower-Tier tech stocks have yet to generate any
    earnings and sometimes little in the way of
    revenues. Valuation of these firms is very
    difficult and often amounts to no more than
    hunches.

12
Stock Valuation Models
  • Putting a Value on Tech Stocks (continued)
  • Tech-Stock Valuation Methods
  • Discounted Cash Flow (DCF) Analysis
  • One problem with applying the DVM or the DE
    models to tech stocks is that few tech stocks pay
    any dividends.
  • Therefore the method we apply here assume all
    dividends are zero and find the PV of the future
    price of the firms stock using a future
    projection of the firms earnings and its P/E
    ratio the future price of the firms stock.
  • Unfortunately, even future earnings and P/Es are
    difficult to project rendering the DCF model
    difficult to apply.
  • Price-Multiple Methods
  • With this method, investors identify firms that
    are comparable to the one being valued, determine
    their average (or typical) multiples, and use
    them to value the firm under consideration.
  • Commonly used multiples include those based on
    earnings (P/E), book value (price/book value),
    and sales (price/sales).

13
Stock Valuation Models
  • Putting a Value on Tech Stocks (continued)
  • Tech-Stock Valuation Methods (continued)
  • Price-Multiple Methods (continued)
  • Given an appropriate multiple, we simply multiply
    the corresponding variable to obtain price.
  • Unfortunately, the P/E and price/book ratios may
    not be useful because many tech firms have no
    earnings (or losses!) and value may bear little
    relationship to book value thus, price/ sales
    (P/S) ratio is the multiple of choice when
    valuing tech stocks.
  • As with the P/E method, the P/S multiple can be
    calculated on a trailing or a forward basis.
  • In any case, the P/S ratio also has its
    shortcomings
  • Even though sales may be positive while earnings
    are negative, many analysts argue that the focus
    should be on the bottom line.
  • The multiple itself can be highly volatile due to
    the volatility in the underlying average
    tech-company stock price.

14
Stock Valuation Models
  • Putting a Value on Tech Stocks (continued)
  • Tech-Stock Valuation Methods (continued)
  • The Burn Rate in Tech Stocks. The (cash) burn
    rate is the rate at which the firm is using up
    its supply of cash over time and is determined by
    examining a firms Statement of Cash Flows (See
    Table 8.6).
  • Tech Stock Valuation Example (Global Applications
    Software)
  • Income Statement (See Table 8.7)
  • Comparable Firm Data (See Table 8.8)
  • Trailing Sales/share 56.5/30 1.88/share
  • Sales/Share x P/S Ratio 1.88 x 3.34
    6.28/share

15
Technical Analysis
  • Overview
  • Technical Analysis is the study of various forces
    at work in the marketplace and their effect on
    stock prices.
  • Technical Analysts believe that much of what is
    done in security analysis is useless because it
    is the market that matters, not individual
    companies.
  • Principles of Market Analysis
  • During the nineteenth and early twentieth
    century, little data was available and so
    studying the market was the only method for
    selecting stocks.
  • Charts were the earliest tools for carrying out
    market analysis.
  • Charts were centered on stock price movements and
    it was believed that these movements possessed
    exploitable patterns.

16
Technical Analysis
  • Principles of Market Analysis (continued)
  • While it is true that stock price movements
    exhibit patterns, it is the supply and demand for
    securities that determine market movements.
  • Thus technical analysis today monitors the supply
    and demand forces in the market and detects any
    shifts in the relationship.
  • Measuring the Market (See Figure 8.1)
  • While charting is still used to measure the
    market, many technical analysts today prefer to
    study various market statistics including the
    volume of trading, the amount of short selling,
    and odd-lot transactions (the buying and selling
    patterns of small investors).
  • If an analyst can detect some of the key elements
    driving behavior, then they can better assess the
    market and predict its direction.

17
Technical Analysis
  • Measuring the Market (continued)
  • Important Technical Indicators (also see the RSI
    on page 345)
  • Market Volume. Market volume indicates investor
    interest.
  • The market is considered strong when volume goes
    up in a rising market or drops off during market
    declines.
  • The market is considered weak when volume rises
    during declines or drops during rallies.
  • Breadth of the Market. The breadth of the market
    deals with stock advances and declines.
  • As long as the number of stocks that advance in
    price on a given day exceeds the number that
    decline, the market is considered strong.
  • The extent of strength depends on the spread
    between the number of advances and declines.
  • Short Interest. The number of stocks sold short
    in the market at any given point in time is known
    as short interest (See Figure 8.2).

18
Technical Analysis
  • Measuring the Market (continued)
  • Important Technical Indicators
  • Short Interest (continued)
  • Because all short (borrowed) shares must
    eventually be covered (returned), a short sale
    ensures the future demand for a stock (future
    market optimism).
  • Thus, the market is viewed optimistically if the
    level of short interest becomes high by
    historical standards because the shares bought
    back to cover short sales will drive up demand
    and prices in the future.
  • In addition, because more sophisticated investors
    participate in short selling, an increase in
    short sales is thought to indicate current market
    pessimism.
  • Odd-Lot Trading. The odd-lot trading rule (also
    called the theory of contrary opinion) uses the
    amount and type of odd-lot trading as an
    indicator of the current state of the market and
    pending changes.
  • The theory is that small, uninformed investors
    more often trade in odd lots.
  • When the balance of odd-lot trades increases, the
    idea is that the market is about to decline.

19
Technical Analysis
  • Using Technical Analysis
  • Investors can use the charts and complex ratios
    of technical analysis, or more informally use it
    to get a general sense of the market.
  • Technical analysis might also be used in
    conjunction with fundamental analysis to
    determine when to add a particular stock to a
    portfolio.
  • Charting
  • Charting is perhaps the best-known activity of
    the technical analyst.
  • Charting is the activity of charting price
    behavior and other market information and then
    using the patterns these charts form to make
    investment decisions (See Figure 8.3).

20
Technical Analysis
  • Charting (continued)
  • Charts are popular because they provide a visual
    summary of activity over time.
  • Chartists believe price patterns evolve into
    chart formations that provide signals about the
    future course of the market or stock.
  • Types of Charts
  • Bar Charts (See Figure 8.4 on the next slide).
    Bar chars are the simplest kind of chart on which
    share price is plotted on the vertical axis and
    time on the horizontal axis stock prices are
    recorded as vertical bars showing high, low, and
    closing prices.
  • Point-and-Figure Charts (See Figure 8.5 two
    slides hence). Point-and-figure charts are used
    to keep track of emerging price patterns by
    plotting significant price changes with Xs and Os
    but with no time dimension used.
  • Chart Formations (See Figure 8.6 three slides
    hence).

21
Figure 8.4 A Bar Chart
22
Figure 8.5 A Point-and-Figure Chart
23
Figure 8.6 Some Popular Chart Formations
24
Random Walks and Efficient Markets
  • Brief Historical Overview
  • Random Walk Hypothesis. The theory that stock
    price movements are predictable, so theres no
    way to know where prices are headed.
  • To describe stock prices as a random walk
    suggests that price movements cannot be expected
    to follow any type of pattern.
  • Thorough examinations of the randomness of stock
    prices did not begin until 1959.
  • Efficient Markets. A market in which securities
    reflect all possible information quickly and
    accurately.
  • Because information itself comes to the market
    randomly, efficient markets would explain the
    random nature of stock price movements.
  • Because of keen competition among investors, when
    new information becomes known, the price of the
    security adjusts quickly.

25
Random Walks and Efficient Markets
  • Why Should Markets Be Efficient?
  • The Efficient Markets Hypothesis is a basic
    theory describing the behavior of efficient
    markets and is based on the following tenets
  • There are a large number of knowledgeable
    investors who actively analyze, value, and trade
    securities no individual trader can affect the
    price of any security.
  • Information is widely available to all investors
    at approximately the same time and this
    information is free or nearly so.
  • Information on events, such as labor strikes,
    industrial accidents, and changes in demand,
    tends to occur randomly.
  • Investors react quickly and accurately to new
    information, causing prices to adjust quickly
    and, on average, accurately.
  • For the most part, markets do in fact exhibit
    these characteristics.

26
Random Walks and Efficient Markets
  • Levels of Market Efficiency. The efficient
    markets hypotheses is concerned with the source,
    quality and speed with which information is
    disseminated among investors.
  • Weak Form. The weak form EMH holds that past
    data on stock prices are of no use in predicting
    future changes.
  • Semi-Strong Form. The semi-strong form EMH holds
    that abnormally large profits cannot be
    consistently earned using publicly available
    information.
  • Strong Form. The strong form EMH holds that
    there is no information, public or private, that
    allows investors to consistently earn abnormal
    profits.

27
Random Walks and Efficient Markets
  • Possible Implications
  • General Implications
  • Even in an efficient market, all sorts of return
    opportunities are available
  • But to proponents of efficient markets, the only
    way to increase returns is to invest in a
    portfolio of higher-risk securities.
  • Implications for Technical Analysis
  • If price fluctuations are purely random, charts
    of past prices are unlikely to produce
    significant trading profits.
  • Technical indicators simply measure
    after-the-fact events, with no implications for
    the future.
  • Implications for Fundamental Analysis
  • In an efficient market, it is argued, prices
    react so quickly to new information that not even
    security analysis will enable investors to
    realize consistently superior returns.

28
Random Walks and Efficient Markets
  • Possible Implications (continued)
  • Implications for Fundamental Analysis
    (continued)
  • The problem is not that fundamental analysis is
    poorly done on the contrary, it is done too
    well!
  • So Who is Right?
  • Some type of fundamental analysis probably has a
    role in the stock selection process.
  • Even in an efficient market, there is no question
    that stock process reflect a companys
    performance.
  • Although markets are not perfectly efficient,
    they are reasonably efficient.
  • In the final analysis, individual investors must
    decide on the merits of fundamental and technical
    analysis.
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