Let’s say two investors buy the same stock. Investor A paid $70 for it and investor B pail $100 for it. The stock is presently worth $85. Investor A will be happy and likely to think favorably of the stock because he made 21% on it; investor B will be sad and likely to think unfavorably of the stock because he lost 15% on it.
The other night I asked my son, a high school student who knows next to nothing about economics or the stock market, “Which is more likely to grow faster, a small company or a large company?” He answered, “A small company.” Then I asked him, “Which will rise in price faster, a company whose price is cheap compared to what it earns, or a company whose price is expensive?” He answered, “The cheap one.”
Mauboussin writes, “Great investors do two things that most of us do not. They seek information or views that are different than their own and they update their beliefs when the evidence suggests they should. Neither task is easy. . . . The best investors among us recognize that the world changes constantly and that all of the views that we hold are tenuous. They actively seek varied points of view and update their beliefs as new information dictates. The consequence of updated views can be action: changing a portfolio stance or weightings within a portfolio.”
Whenever you come up with a new investment idea—whether it’s a new security to buy, a new factor to consider, or a new strategy to implement—you naturally ask yourself whether this new idea will increase your portfolio returns or cause you to lose money (and, of course, how much). Thinking probabilistically involves assessing the probabilities and coming up with a reasoned answer.
Understanding the rules of probability—how to bet—can be a valuable asset for investors. Every day I come across investors who think that regression to the mean has nothing to do with correlation, who don’t bother to think about odds, and who take wild stabs at position sizing. Until relatively recently, I was such an investor […]
I just finished reading Alphanomics by Charles M. C. Lee and Eric So, published by a small academic press in 2015. The subtitle is The Informational Underpinnings of Market Efficiency, but that doesn’t really give a sense of the book, which essentially summarizes the last five decades of academic research into market pricing mechanisms. I’d […]