Week 30 Day 2: The Cost of Being Early (or Late)

Many smart investors predicted the 2008 financial crisis. Michael Burry (of 'The Big Short') was early by over a year. He was right about the housing bubble, but his positions lost money for 18 months before the payoff. His investors tried to pull their money. Being early in timing feels exactly like being wrong.

Case studies in early/late timing: The dot-com bubble: many value investors sold tech stocks in 1998, two years before the crash. The NASDAQ doubled after they sold, making them look foolish. They were eventually vindicated, but two years of underperformance tested their conviction (and their clients' patience) severely. Julian Robertson (Tiger Management): one of the greatest hedge fund managers in history. He refused to buy overvalued tech stocks in 1998-1999. His fund underperformed massively. His investors redeemed their capital. He shut down the fund in March 2000 -- literally the month the NASDAQ peaked. He was right about the bubble but wrong about the timing. COVID recovery: in March 2020, the S&P 500 crashed 34%. Many investors sold and waited for the 'second wave' crash. It never came. The market recovered fully within 5 months. Those who waited for further downside missed the fastest recovery in market history. The lesson: even correct market views are nearly impossible to profit from because the timing must be precise to the month. Buy-and-hold investors do not need to time anything -- they ride through the volatility and capture the long-term uptrend.

The timing problem is formally characterized by the 'signal extraction' challenge in financial economics. Even if investors possess a noisy signal about future returns (a rare ability), the signal-to-noise ratio is low enough that optimal action is often very different from the naive 'trade on the signal' approach. Merton (1981) showed that the value of perfect market timing (knowing with certainty whether stocks or cash will outperform in the next period) is enormous -- approximately equivalent to a long-term free put option on the market. However, the value of imperfect timing (correct 60-70% of the time) drops precipitously: a timer correct 60% of the time adds only approximately 1% per year before costs, and after realistic transaction costs and taxes, the net value approaches zero. The 'early is wrong' problem specifically relates to the 'herding and momentum' literature: markets can remain irrational longer than timers can remain solvent (often attributed to Keynes). DeLong, Shleifer, Summers, and Waldmann (1990) modeled this: noise traders can push prices away from fundamentals for extended periods, and arbitrageurs who bet against them face liquidation risk before prices revert. This 'limits to arbitrage' problem means that even correct fundamental views can lose money over arbitrarily long periods. For individual investors without the capital to wait indefinitely, this makes timing unjustifiable. The optimal strategy for non-professional investors: accept the market's volatility as the cost of earning the equity risk premium, maintain consistent exposure through DCA, and never sell based on market outlook.