Free Research Paper

The Cost of Stepping Out.

Every investor believes protection costs performance. We tested that belief against 55 years of market history and it broke in a way we did not expect. Sometimes the cost was close to zero. Sometimes it was enormous. What decides which is what you own when the signal tells you to leave.

A full research paper with methodology and replication steps. Clean PDF, made for reading off screen.

✓55 years of backtested evidence✓Every recipe published in full✓Free, unsubscribe anytime

Why this matters

“Protection costs performance” is only half true.

On a plain index, across 55 years, choosing how much pain you were willing to take was roughly free: the growth rates tie while the worst falls range from 23% to 55%. On portfolios built to beat the market, the same discipline gets expensive, and the paper shows exactly why.

The finding that matters most is not about signals at all. It is about the number of hard decisions a system hands to the human holding the account, and what happens when that number is too high.

What’s inside

The data, the price tag, and the human.

The dial, across 55 years

One signal, five settings from full protection to pure buy and hold. Growth per year would have been nearly a tie across the whole dial while the worst fall swings 32 points. Backtested, with the table in full.

When the insurance paid, and when it charged

Split the record along the long market eras and a stubborn pattern appears: timing rules would have won the grinding sideways stretches and trailed the long expansions. Both halves of that sentence, with numbers.

The price tag on portfolios built to beat the market

The same overlay that was roughly free on the index would have added return on some of our model portfolios and cost dearly on others. Three mechanisms explain why, and they generalize.

The human holding the account

Signal workloads, the structural blind spot of slow signals, and a 2025 case of a weekly gauge that repainted before the week closed. Why the design problem is decisions, not indicators.

Methodology, replication, and the shift test

Every recipe published in full, honesty notes included, plus an appendix that re-runs our own rebalance schedule shifted by up to three months in each direction.

About Advising Alpha

Research first. Everything else follows.

Advising Alpha publishes model portfolios with long backtested records, weekly briefs that cut through the noise, and the discipline to compound through every market. This paper is the research behind a core design decision: four calm rebalances a year, and nothing to watch in between.

Every number in the paper came from our testing engine, run on public data, with the rules written down before the results were seen. The recipes are in the appendix so you can check our work.

Why we’re a publisher, not a Registered Investment Adviser →

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The Average Investor

Why most investors earn less than the funds they own, measured across three independent studies, and the discipline that closes the gap. Free, in the same report format as this one.

Get that report too →