Japanese | Spanish
The Marketing Tactics That Are Seldom Told

The Time-Tested Strategy for Successful Investing

A Random Walk Down Wall Street

Topic Category

Stock market

STATUS:

The text is very rough.

[toc:11cazzy4]
  • Preface
  • Acknowledgments from Earlier Editions

    PART ONE - STOCKS AND THEIR VALUE

  • 1. Firm Foundations and Castles in the Air
  • What Is a Random Walk?
    Investing as a Way of Life Today
    Investing in Theory
    The Firm-Foundation Theory
    The Castle-in-the-Air Theory
    How the Random Walk Is to Be Conducted

  • 2. The Madness of Crowds
  • The Thlip-Bulb Craze
    The South Sea Bubble
    Wall Street Lays an Egg
    An Afterword

    3. Stock Valuation from the Sixties through the Nineties
    The Sanity of Institutions
    The Soaring Sixties
    The New "New Era": The Growth-Stock/New-Issue Craze
    Synergy Generates Energy: The Conglomerate Boom
    Performance Comes to the Market: The Bubble in Concept Stocks
    The Sour Seventies
    the Nifty Fifty
    The Roaring Eighties
    The 1Humphant'Return of New Issues
    Concepts Conquer Again: The Biotechnology Bubble
    ZZZZ Best Bubble of All
    What Does It All Mean?
    The Nervy Nineties
    The Japanese Yen for Land and Stocks

    4. The Biggest Bubble of All: Surfing on the Internet
    How Bubbles Arise
    A Broad-Scale High-Tech Bubble
    An Unprecedented New-Issue Craze
    TheGlobe.com
    Security Analysts Speak Up
    New Valuation Metrics
    The Writes of the Media
    Fraud Slithers In and Strangles the Market
    Should We Have Known the Dangers?
    A Final Word


    PART Two - How THE PROS PLAY THE BIGGEST GAME IN TOWN

    5. Technical and Fundamental Analysis
    Technical versus Fundamental Analysis
    What Can Charts Tell You?
    The Rationale for the Charting Method
    Why Might Charting Fail to Work?
    From Chartist to Technician
    The Technique of Fundamental Analysis
    Three Important Caveats
    Why Might Fundamental Analysis Fail to Work?
    Using Fundamental and Technical Analysis Together

    6. Technical Analysis and the Random-Walk Theory
    Holes in Their Shoes and Ambiguity in Their Forecasts
    Is There Momentum in the Stock Market?
    Just What Exactly Is a Random Walk?
    Some More Elaborate Technical Systems
    The Filter System
    The Dow Theory
    The Relative-Strength System
    Price-Volume Systems
    Reading Chart Patterns
    Randomness Is Hard to Accept
    A Gaggle of Other Technical Theories to Help You Lose Money
    The Hemline Indicator
    The Super Bowl Indicator
    The Odd-Lot Theory
    A Few More Systems
    Technical Market Gurus
    Why Are Technicians Still Hired?
    Appraising the Counterattack
    Implications for Investors

    7. How Good Is Fundamental Analysis?
    The Views from Wall Street and Academia
    Are Security Analysts FUndamentally Clairvoyant?
    Why the Crystal Ball Is Clouded

    1. The Influence of Random Events
    2. The Production of Dubious Reported Earnings through "Creative" Accounting Procedures
    3. The Basic Incompetence of Many of the Analysts Themselves
    4. The Loss of the Best Analysts to the Sales Desk, to Portfolio Management, or to Hedge Funds
    5. The Conflicts of Interest between Research and Investment Banking Departments

    Do Security Analysts Pick Winners?The Performance of the Mutual Funds
    Can Any Fundamental System Pick Winners?
    The Verdict on Market Timing
    The Semi-strong and Strong Forms of the Efficient-Market Theory
    The Middle of the Road: A Personal Viewpoint


    PART THREE - THE NEW INVESTMENT TECHNOLOGY

  • 8. A New Walking Shoe: Modem Portfolio Theory
  • The Role of Risk
    Defining Risk: The Dispersion of Returns
    illustration: Expected Return and Variance Measures of Reward and Risk
    Documenting Risk: A Long-Run Study
    Reducing Risk: Modern Portfolio Theory (MPT)
    Diversification in Practice

    9. Reaping Reward by Increasing Risk
    Beta and Systematic Risk
    The Capital-Asset Pricing Model (CAPM)
    Let's Look at the Record
    An Appraisal of the Evidence
    The Quant Quest for Better Measures of Risk: Arbitrage Pricing Theory
    A Summing Up

    10.Behavioral Finance
    The Irrational Behavior of Individual Investors
    Overconfidence
    Biased Judgments
    Herding
    Loss Aversion
    The Limits to Arbitrage
    What Are the Lessons for Investors from Behavioral
    Finance?

    1. Avoid Herd Behavior
    2. Avoid Overtrading
    3. If You Do 7rade: Sell Losers, Not Winners
    4. Other Stupid Investor 7Hcks .
    Does Behavioral Finance Teach Ways to Beat the Market?

    11. Ptshots at the Efficient-Market Theory and Why They Miss
    What Do We Mean by Saying Markets Are Efficient?
    Potshots That Completely Miss the Target
    DogsoftheDow
    January Effect
    "Thank God It's Monday Afternoon" Pattern
    Hot News Response
    . Why the Aim Is So Bad
    Potshots That Get Close but Still Miss the Target
    The Trend Is Your lTiend (Otherwise Known as Short-Term Momentum)
    The Dividend Jackpot Approach
    The Initial PIE Predictor
    The llBack We Go Again"

    The New Investment Technology

    Part 3


    8. New Walking Shoe: Modem Portfolio Theory


    Practical men, who believe themselves to be quite exempt from any intellectual influence, are usually the slaves of some defunct economist. Madmen in authority, who hear voices in the air, are distilling their henzy from some academic scribbler of a few years back.
    —J. M. Keynes, The General Theory of Employment, Interest and Money

    Throughout this book, I have attempted to explain the theories used by professionals-simplified as the firm-foundation and the castle-in-the-air theories-to predict the valuation of stockso As we have seen, many academics have earned their reputations by attacking these theorieso Although not denying that these theories tell us a good deal about how stocks are valued, the academics maintain that they cannot be relied on to yield extraordinary profits.

    As graduate schools continued to grind out bright young economists and statisticians, the attacking academics became so numerous that it seemed obvious-even to them-that a new strategy was needed; ergo, the academic community busily went about erecting its own theories of stock-market valuationo That's what this part of the book is all about: the rarefied world of the "new investment technology" created within the towers of academyo One insight-modern portfolio theory (MPT)-is so basic that it is now widely followed on the Street.

    The others remain controversial enough to continue to generate thesis material for students and hefty lecture fees for their advisers.

    In this chapter, I describe the origins and applications of modern portfolio theory. Using these insights, you'll be able to reduce risk while possibly earning a higher returno In chapter 9,

    I describe how some academics have gained press coverage by saying that investors can increase their returns by assuming a certain kind of risko Then, in chapters 10 and 11, I cover the arguments of some academics and practitioners who conclude that psychology, not rationality, rules the market, and that there is no such thing as a random walko They argue that markets are not efficient and that a number of investment strategies can be followed to "beat the market." Moreover, they suggest that, to a considerable extent, market prices are predictableo Then I conclude by showing how wrong they areo I do this, in part, by using the best example of the efficient-market application-a commonstock index fund-and show that, despite all the journal publications and learned conferences, it remains the undisputed champion in taking the most profitable stroll through the market.
    The Role of Risk
    Efficient-market theory explains why the random walk is possibleo It holds that the stock market is so good at adjusting to new information that no one can predict its future course in a superior mannero Because of the actions of the pros, the prices of individual stocks quickly reflect all the news that is availableo Thus, the odds of selecting superior stocks or anticipating the general direction of the market are eveno Your guess is as good as that of the ape, your stockbroker, or even mine.
    Hmmmo "I smell a rat," as Samuel Butler wrote long ago.
    Money is being made in the market; some stocks do outperform otherso Common sense attests that some people can and do beat the market. It's not all chanceo Many academics agree; but the method of beating the market, they say, is not to exercise superior clairvoyance but rather to assume greater risko Risk, and risk alone, determines the degree to which returns will be above or below average, and thus decides the valuation of any stock relative to the market.
    A New Walking Shoe: Modern Portfolio Theory
    181
    Defining Risk: Te Dispersion of Returns
    Risk is a most slippery and elusive concepto It's hard for investors-let alone economists-to agree on a precise definitiono The American Heritage Dictionary defines risk as "the possibility of suffering harm or losso" If I buy one-year Treasury bills to yield 5 percent and hold them until they mature,
    I am virtually certain of earning a 5 percent monetary return, before income taxeso The possibility of loss is so small as to be considered nonexistent. If I hold common stock in my local power and light company for one year on the basis of an anticipated 6 percent dividend return, the possibility of loss is greatero The dividend of the company may be cut and, more important, the market price at the end of the year may be much lower, causing me to suffer a serious net losso Investment risk, then, is the chance that expected security returns will not materialize and, in particular, that the securities you hold will fall in price 0
    Once academics accepted the idea that risk for investors is related to the chance of disappointment in achieving expected security returns, a natural measure suggested
    Real Time Web Analytics