Know Your Risk Exposure – Volatility And Drawdowns Measure Different Things

Drawdowns - The #1 Performance Drag

The market is the most dangerous when it feels the safest.

In June 2007, junk bonds - the riskiest corner of the bond market - were priced as if almost nothing could go wrong. The extra yield investors demanded for holding them hit the lowest level ever recorded. The VIX, Wall Street’s fear gauge, touched 9.89 that year, also a record of calm. Four months later the S&P 500 made an all-time high and peaked before eventually falling by -57% .

That sequence bears the signature of all bear markets: investor complacency at the top, panic episodes at the bottom. And investors get hurt at both ends. At the top, we’re fully invested with no plan, often adding risk at exactly the wrong time. At the bottom, we capitulate - selling at -45% the positions we should have trimmed at -5%. Over an investing lifetime, those two behaviors cost more than any fee, any tax, or any bad stock pick.

This article is about a tool that addresses both: a rules-based indicator that systematically moves part of your portfolio to cash as market conditions deteriorate. I’ll show you how much it saves, what it costs, and why the standard measure of investment performance can’t tell you whether it’s working.

Why drawdowns, not volatility, are the enemy

Start with arithmetic every investor knows, but few truly internalized. Lose 50%, and you need a 100% gain just to get back to even. The 2007–09 bear took -57%, which requires a 133% recovery — roughly a decade of average market returns spent climbing out of the hole. The S&P 500’s October 2007 high wasn’t seen again until March 2013.

But the math actually understates the damage, because almost nobody holds onto everything they own through all of a -57% decline. What really happens is they hold through -20%, then get very nervous at -35%, and finally sell out (all or some of their holdings) at -50% — and then they sit in cash, scared, while the recovery begins without them. Study after study finds that investors earn meaningfully less than the funds they invest in, and most of that gap is created in bear markets, in exactly this way.

So the biggest return a defensive system generates never shows up on a statement. It’s the panic-sale you never made — because the system had already trimmed your risk at -10%, and you never had to face the gut-wrenching decision at -45%.

The wrong yardstick: what the Sharpe ratio can’t see

Here’s the problem with judging any defensive strategy: the measuring stick nearly everyone uses penalizes the wrong thing.

The Sharpe ratio — the industry’s standard report card — measures return per unit of volatility. All volatility. To Sharpe, a month where your portfolio jumps 8% is just as “risky” as a month where it drops 8%. But think about that for a second. Has any investor, anywhere, ever complained about the month their portfolio went up too much?

The whole point of a drawdown-reduction system is to cut off the big losses while leaving the big gains alone. Sharpe literally cannot see the difference between a strategy that does that and one that just flattens everything. Judged by Sharpe, the strategy you actually want can look mediocre.

It gets worse. Sharpe is calmest precisely when danger is greatest. A market grinding steadily higher — late 2021 is the textbook case — produces beautiful Sharpe ratios at the very moment risk is peaking. Your risk metric agrees with your feelings, and both are about to be wrong.

This is why I judge the Zen Alpha system by what I call the Conley Ratio: return per unit of downside risk and compared to the return of the S&P Composite index. I want to know how I’m doing relative to the market, not the Treasury bond.

 Upside surprises don’t count against you — only the losses do. A system that keeps the good volatility and cuts the bad looks unremarkable on Sharpe and excellent on the Conley Ratio. Since keeping the good and cutting the bad is the entire objective, one of these metrics is measuring the goal. The other is measuring something next to it.

The proven baseline: one simple rule

The best-documented defensive rule in finance is almost embarrassingly simple. At the end of each month, compare the S&P 500 to its average price over the past ten months. Above the average? Own stocks. Below it? Move to cash. That’s it.

Researcher Mebane Faber popularized this rule in 2006, and decades of follow-up work confirm the punchline: checked monthly, it sidestepped every catastrophic bear market of the past century — 1929, 1973–74, 2000–02, 2007–09. Why does something so simple work? Because the truly devastating bears unfold over months and years, not days, and a monthly rule has time to walk you out the door.

Now the cost, because there always is one, and anyone selling drawdown protection without naming its price is selling you something else. Following this rule costs roughly 1–2% per year versus staying fully invested over complete market cycles. The money leaks out in two ways. First, choppy sideways markets (think 2011 or 2015–16) fake it out: it sells after a dip, then has to buy back in higher. Second, fast crashes with fast recoveries — 2020 — are its worst case: it exits near the bottom and climbs back in late. In exchange for those annoyances, your worst-case loss is roughly cut in half. That’s the trade, plainly stated.

But the simple rule has a deeper limitation: it’s a follower, not a forecaster. By the time the index drops below its ten-month average, the market has already fallen 5–10%. One lagging signal, acted on all-or-nothing, is a blunt instrument. The fix is twofold: use more signals and respond in steps instead of leaps.

Six watchmen instead of one

The Zen Alpha regime framework scores six independent market indicators every month. Each one votes: +1 if it’s favorable, 0 if neutral, -1 if it’s flashing trouble. The votes add up to a composite score, and the score tells me how much cash to hold. The six:

• Trend — is the market above or below its long-term average price? A follower, but a reliable one.

• Momentum — is the market’s rate of climb accelerating or decaying?

• The yield curve — when short-term interest rates rise above long-term rates (an “inversion”), recession has historically followed within a year or so. An early-warning system, when it works.

• Junk bond spreads — the extra yield investors demand to hold risky corporate debt. When bond investors start getting nervous, they’re usually nervous before stock investors are. Credit stress has historically shown up one to three months ahead of stock market trouble.

• Breadth — how many stocks are actually participating in the rally. When the index makes new highs, but fewer and fewer stocks are doing the lifting, the army is retreating while the generals charge. It’s the oldest warning sign in market analysis.

• The volatility premium — what the options market is charging for insurance versus how rough the market actually is. It flags both complacency and hidden stress.

Two design choices matter even more than the list itself.

First: scale, don’t toggle. The framework never goes all-in or all-out. Cash rises in steps — from 0% when conditions are strong to a maximum of 30% when the score is deeply negative. Stepped responses mean a false alarm costs you a little, not everything. They also spare you the psychologically impossible question — “should I sell everything?” — and replace it with a series of small, pre-committed adjustments.

Second: don’t flip-flop. The score has to move meaningfully before the system reverses course — the same way your thermostat doesn’t switch the furnace on and off every time the temperature wobbles half a degree. This one rule eliminates most of the whipsaw cost that plagues simple timing systems.

Why six indicators instead of one? The same reason you don’t own one stock. As the record below shows, every major bear of the past 25 years was flagged early by at least two of the six — but it was a different two every time.

The receipts: four bears, six watchmen

Here’s what the indicators were actually saying as each of the last four major declines began. These aren’t backtested performance claims — they’re the documented readings drawn from Federal Reserve data and published market studies.

2000–02: the army retreated two years before the generals

While the headlines celebrated the Nasdaq, the average stock had been quietly falling since 1998. Breadth — the count of stocks advancing versus declining — peaked two full years before the index did. Junk bond investors, burned in the 1998 crisis, never went back to pricing risk cheaply even as tech stocks doubled.

The yield curve inverted in July 2000, four months after the official top — but here’s the thing: the S&P was still within a few percent of its high that September. The warning came before roughly 90% of the eventual damage. The market’s internals were screaming while its headline number was smiling.

2007–09: the bond market knew first

This is the showcase. The yield curve inverted in August 2006 — fourteen months before stocks peaked. Junk bond spreads hit their all-time record low in June 2007 (peak complacency), then doubled by September while the S&P 500 was still making new highs. Breadth peaked in early June and deteriorated all summer.

By the time the index topped on October 9, three of the six watchmen had been waving flags for months. An investor stepping down their exposure with each signal was substantially protected before anyone outside Wall Street had heard the name Lehman Brothers.

2020: the honest failure

Nothing forecasts a pandemic. Breadth was healthy at the February 19 peak. The VIX was at normal levels in January. Junk bond spreads tripled in 33 days - moving with the crash, not ahead of it. The slower signals confirmed the decline only as it was nearly over. 

I include this case on purpose: any system marketed as catching every decline is being marketed dishonestly. What the framework’s design delivered in 2020 wasn’t foresight — it was damage control. Because the system moves in steps and refuses to flip-flop, it avoided the trap that snared simpler trend rules that year: selling everything at the bottom and buying back in long after the rebound.

2022: the famous indicator failed, the committee didn’t

The yield curve — the most famous recession signal there is — gave no warning at the January 2022 top. It didn’t invert until November, when the decline was nearly over. Anyone relying on the curve alone rode the full -25% down. But under the surface, the story was already written.

In early 2021, roughly nine out of ten stocks were trading above their long-term average price; by the January top, that majority had crumbled while a handful of mega-cap names held the index aloft. Junk spreads were grinding wider from record lows all year.

This is the cleanest argument for the committee approach: breadth led in 2000 and 2022, credit and the curve led in 2007, and in 2020 only trend told the truth. No single indicator caught all four bears. The committee caught every one — through a different door each time.

How much it saves, what it costs

The framework caps defensive cash at 30%. I don’t advertise 100% exits, because I don’t take them — going fully to cash maximizes the two biggest costs of any timing discipline: getting faked out and getting back in late. So what does a 30% cash cushion actually buy you? Here’s the straightforward arithmetic, assuming the cash was raised early in each bear:

Call these illustrations, not backtest results — they assume timely signals and ignore what’s in the stock sleeve. In practice, the Zen Alpha stock portfolio is built from high-quality companies and weighted by the same risk discipline, which has historically meant losing less than the index in declines anyway. The cash cushion is one layer of defense, not the whole suit of armor.

Now the costs, with no varnish. First, the fake-out tax: in choppy sideways years, stepping down exposure will occasionally cost you a percent or two as the market jukes through the signal levels. The no-flip-flop rule shrinks this; nothing eliminates it.

Second — and this surprises almost everyone — the cash you’re hiding in earns far less than you’d think. I pulled the actual Treasury bill rates through each bear: cash paid about 3.6% a year during the 2000–02 bear, but only 1.6% through 2007–09, essentially zero in 2020, and about 1.4% through 2022. See the pattern? Cash yields collapse during the very crises you’re sheltering from, because the Fed is slashing rates. The benefit of the cash cushion is almost entirely the loss you avoid, not the interest you earn. Any analysis assuming cash pays a steady 3–4% through a crisis is flattering itself. (As it happens, with T-bills near 3.6% today, defense is unusually cheap to hold right now — but that’s a current fact, not a planning assumption.)

Add it up, and the expected cost over a full market cycle is in the neighborhood of 1–2% per year — measured against a buy-and-hold investor with perfect, unshakeable discipline. Measured against the investor most of us actually are — the one who would otherwise face that -45% capitulation decision — the cost is very likely negative.

The bottom line

A drawdown-reduction system is insurance with a visible premium and an invisible payout. The premium shows up every sideways year, in plain sight, and it will annoy you. The payout shows up once or twice a decade — partly as losses avoided, and mostly as the panic-sale you never made and therefore never see.

The Sharpe ratio can’t price this trade; that’s what the Conley Ratio is for. No single indicator can reliably trigger it; that’s what the six-signal committee is for. And all-or-nothing exits turn a good idea into a behavioral trap; that’s what the stepped cash levels are for.

The market is most dangerous when it feels safest — and your trailing risk metrics will agree with your feelings. A rules-based regime framework is how you stop asking your feelings for permission.