CONTENTS
Preface
Acknowledgments
Chapter 1: Question One: What Do you Believe that is Actually False?
If you Knew it was Wrong, you Wouldnât BelieveIt
The Mythological Correlation
Always Look at it Differently
When you Are Really, Really Wrong
Chapter 2: Question Two: What Can you Fathom that Others Find Unfathomable?
Fathoming the Unfathomable
Ignore the Rock in the Bushes
Discounting the Media Machine and Advanced Fad Avoidance
The Shocking Truth About Yield Curves
What the Yield Curve is Trying to Tell you
The Presidential Term Cycle
Chapter 3: Question Three: What the Heck is My Brain Doing to Blindside Me Now?
Itâs Not Your FaultâBlame Evolution
Cracking the Stone Age CodeâPride and Regret
The Great Humiliatorâs Favorite Tricks
Get Your Head Out of the Cave
Chapter 4: Capital Markets Technology
Building and Putting Capital Markets Technology Into Practice
Itâs Good While it Lasts
Forecast With Accuracy, Not Like a Professional
Better Living Through Global Benchmarking
Chapter 5: When Thereâs No There, There!
Johns Hopkins, My Grampa, Life Lessons and Pulling a Gertrude
In the Center RingâOil Versus Stocks
Sell in May Because the January Effect Will Dampen Your Santa Claus Rally Unless There is a Witching Effect
Chapter 6: No, Itâs Just The Opposite
When you Are WrongâReally, Really, Really Wrong
Multiplier Effects and the Heroin-Addicted iPod Borrower
Letâs Trade This Deficit for that One
The New Gold Standard
Chapter 7: Shocking But True
Supply and Demand . . . and Thatâs It
Weak Dollar, Strong DollarâWhat Does it Matter?
Chapter 8: The Great Humiliator and Your Stone Age Brain
That Predictable Market
Anatomy of a Bubble
Some Basic Bear Rules
What Causes a Bear Market?
Chapter 9: Putting it All Together
Stick With Your Strategy and Stick it to Him
Four Rules that Count
Finally! How to Pick Stocks that Only Win
When the Heck Do you Sell?
Conclusion
Appendix A
Appendix B
Appendix C
Appendix D
Appendix E
Appendix F
Appendix G
Appendix H
Appendix I
About the Authors
Index
Copyright © 2012 by Fisher Investments. All rights reserved.
This book is a revised edition of The Only Three Questions That Still Count: Investing By Knowing What Others Donât published by John Wiley & Sons, Inc., 2007
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.
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PREFACE
Who Am I to Tell You Something That Counts?
Who am I to tell you anything, much less anything that counts? Or that there are only three questions that count and I know what they are? Why should you bother reading any of this? Why listen to me at all?
As I update this book in 2011 for its second edition, Iâve been in the investment industry for nearly 40 years. I founded and am CEO of what is among the worldâs largest independent discretionary money management firms, serving tens of thousands of high net worth individuals and an impressive roster of institutionsâmajor corporate and public pension plans and endowments and foundationsâspanning the globe. Iâve written Forbesâs âPortfolio Strategyâ column for over 27 years, making me the fourth longest-running columnist in Forbesâs long history. I write regular columns in Britain and Germany. And now, Iâve written eight books, five of which (including this one) were national bestsellers. Along the way, and without really aiming at it, I made the Forbes 400 list of richest Americans.
Thatâs a lot for one lifetime and one professional career. But Iâm here to tell you the prime cumulative lesson of my long career is when it comes to investing, there are only three questions that count. And my view on that hasnât changed since I first penned this book.
In reality, there really is only one question that counts. Or, at least, only one question that really counts. But I donât know how to express that one question in a way you can easily use for everyday investing decisions. If broken down into three subparts, I know how.
And what is that only question that counts? Finance theory is quite clear the only rational basis for placing a market bet is if you believe somehow, some way, you know something others donât know. The only question that counts is: What do you know that others donât?
Most people donât know anything others donât. Most folks donât think theyâre supposed to know something others donât. Weâll see why. But saying you must know something others donât isnât at all novel. Pretty much everyone who took a basic college investment class was told this, although most people conveniently forget this truism.
Without answering the questionâwhat do you know that others donâtâinvesting with an aim to do as well or better than the market is futile. Iâll say that another way. Markets are pretty efficient at pricing all currently known information into todayâs prices. There is nothing new about that statement. Itâs an established pillar of finance theory and has been repeatedly verified over the decades. If you make market decisions based on the same information others have (or have access to), you will overall fail relative to what the markets would have rendered you on their own without any decision making on your part. If you try to outguess where the market will go or what sectors will lead and lag or what stock to buy based on what you read in newspapers or chatter about with your friends and peersâit doesnât matter how smart or well trained you areâyou will sometimes be right or lucky or both, but likely more often wrong or unlucky or both, and overall do worse than if you didnât make such bets at all.
I bet you hate hearing that. But I already told you I didnât know how to express that truism as a single question in a way useful to you. What I can do is show you how to know things other people donât know.
Polling for Perfect Truth
Why is knowing something others donât so important? Financial markets are âdiscountersâ of widely known informationâwhatever information we commonly have access to has already been reflected in todayâs prices before we can articulate our knowledge of it. See it this wayâcompare markets to political elections that arenât discounters of known information.
You know professional pollsters can build a sample of about 1,000 people sufficiently representative of Americaâs voters to foresee the immediate outcome of a national election within a predictable few percentage points. That technology is mature and time-tested. Youâre quite used to it. When a professional poll is done the night before the election, we know w...