A Random Walk Down Wall Street Ch. 2: Technical and Fundamental Analysis

"Technical analysis is anathema to the academic world. We love to pick on it." — Burton Malkiel

Investment Context

Malkiel divides active stock picking into two camps: castles in the air (technical analysis) and firm foundations (fundamental analysis).

Technicians hold that patterns in past price and volume predict future moves. Fundamentalists hold that stocks have intrinsic value determined by future earnings and dividends, and buy when price falls below it.

Malkiel is sceptical of both, but not equally — a distinction usually overlooked.

The Wall Street Translation

1. Technical Analysis: He Calls It Astrology

Staring at MACD, RSI, and Fibonacci retracements produces an illusion of control. Chart patterns are obvious only in hindsight; in real time, relying purely on technical indicators means trading noise.

Malkiel proposed a pointed test: he generated price charts from coin flips and showed them to technicians, who identified textbook patterns and issued buy and sell recommendations. If the method "finds" signals in purely random data, signals it finds in real data are not evidence of anything.

2. Fundamental Analysis: Logically Sound, Extremely Hard to Execute

His criticism here is of a different kind: the approach is logically defensible and merely difficult to execute successfully.

You can build a perfect discounted cash flow model. But if your year-five growth assumption is off by a few percentage points, the entire valuation collapses. The model's precision conceals the uncertainty of its inputs.

A useful contrast with Security Analysis elsewhere in this library: Graham also did fundamental analysis, but his response was demanding a large margin of safety — conceding valuations are always wrong and buying only at steep discounts. Malkiel's conclusion is that even then, most people execute it badly.

3. The Cost of Frequent Trading

Both approaches require frequent trading, which generates spreads, slippage, and short-term capital gains tax. Those costs are certain while the excess return is not.

Actionable Trading Rules

1. Be sceptical of paid chart-based services: If a trading algorithm genuinely worked, its owner would use it quietly rather than sell monthly subscriptions.
2. Use fundamentals to control risk, not to find alpha: If you must hold individual stocks, use analysis to avoid obvious disasters — heavy debt, persistently falling revenue — rather than to find hidden gems.
3. Treat cost as the only certain variable: The most reliable way to raise net returns is reducing what you pay the financial industry.

Relevance to a Retirement Portfolio

For retirees the practical implication is a test for paid investment services.

Any product sold on a proprietary method or exclusive signal deserves one question: if it truly worked, why sell it to you rather than use it? That question eliminates most fee-based products — and low-cost index funds happen not to need an answer, because they claim no edge at all, only the cheapest possible replication of the market.