Baby Boomer Greater Fools Risk Hard Crash

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I once attended a meeting that included Harry Markowitz, father of Modern Portfolio Theory (MPT). The meeting set return and risk asset class expectations for the purpose of establishing an efficient frontier forecast. To initiate the discussion, the investment company showed the committee a risk-return X-Y graph of its expectations. Harry got up and drew an eyeballed line of best fit through the dots and directed a conversation to justify the assets that fell above (why the expected premium) and those that fell below (why the expected underperformance).

That line represents roughly equal return/risk Sharpe ratios, so equal returns per unit of risk. Distances above the line are forecasts of alpha, and those below are forecasted to return below average for their risk (negative alpha).

We all know that the past 15 years have been extraordinary for US stocks. It’s the longest bull market ever. The following graph shows how good. The 15-year alpha is a whopping six percent per year!! Large-cap US stocks have returned six percent more on average every year than the Capital Market Line of constant return per risk.

15 year risk return

Over this 15-year period, the average return per unit of risk was 0.75 percent. Large-cap US stocks earned one percent per unit of risk – a 15 percent per year return for a standard deviation of 15. That’s a whopping 33 percent premium.

Why?

The question isn’t if large-cap US stocks outperformed. It’s why they outperformed for so long and by so much. Here’s a way to break down the answer to that question. The return formula is as follows:

Return = Dividend Yield + (1 + Earnings Growth) X (1 + P/E expansion/contraction) – 1

Here are the components of return for large-cap US stocks:

r large-cap US stocks