Abstract
We discuss – in what is intended to be a pedagogical fashion
– a criterion, which is a lower bound on a certain ratio, for when a stock (or
a similar instrument) is not a good investment in the long term, which can
happen even if the expected return is positive. The root cause is that prices
are positive and have skewed, long-tailed distributions, which coupled with
volatility results in a long-run asymmetry. This relates to bubbles in stock
prices, which we discuss using a simple binomial tree model, without resorting
to the stochastic calculus machinery. We illustrate empirical properties of the
aforesaid ratio. Log of market cap and sectors appear to be relevant
explanatory variables for this ratio, while price-to-book ratio (or its log) is
not. We also discuss a short-term effect of volatility, to wit, the analog of
Heisenberg’s uncertainty principle in finance and a simple derivation thereof
using a binary tree.