Imagine two portfolios. The first earns a steady, respectable return in calm markets and loses a large fraction of its value in a crash. The second earns slightly less in calm markets but loses very little, or even gains, when everything falls apart. Over a long enough horizon with enough crashes, the second portfolio wins, often by a wide margin. This is the core of what David Dredge and other convexity-focused investors have argued for years.

The reason is arithmetic that most people underrate. A portfolio that falls fifty percent needs to double just to get back to even. Deep drawdowns do not average out. They compound against you. A strategy that avoids the worst losses does not need to be brilliant in the good times. It just needs to survive the bad ones intact, because survival is what lets compounding work.

The problem is that avoiding drawdowns feels expensive in real time. Protection costs money. In a long bull market, the investor holding tail-risk hedges watches them decay while everyone else celebrates. It looks like a drag, quarter after quarter. The temptation to abandon the hedge, right before it would have paid off, is enormous. This is why convexity is as much a discipline as it is a strategy.

Convexity means structuring a portfolio so that your gains grow faster than your losses as markets move. In practice that often involves holding a core of assets alongside a smaller allocation to instruments that pay off sharply in a crisis, such as long volatility positions or out-of-the-money options. The small, steady cost of that protection buys the ability to stay invested through cycles without being wiped out, and sometimes to buy aggressively when others are forced to sell.

The deeper point is philosophical. Standard portfolio theory optimises for the average outcome. Convexity respects that we live through one path, not an average of paths, and that a single deep loss can end the game. In a world of high debt, fragile liquidity, and policy that swings between extremes, the tails are fatter than the models assume. Paying a little to be protected against them is not a drag on returns. Over a full cycle, it is often the source of them.

When the Premium Is Cheapest and Nobody Wants It

Tail protection is cheapest when implied volatility is low, which is precisely when the consensus believes protection is unnecessary. This creates a structural timing advantage for investors who buy convexity systematically rather than reactively: the cost basis of a hedge purchased at a VIX of 13 is roughly half the cost of the same hedge purchased at a VIX of 25, and the payoff in a genuine dislocation is determined by the size of the move, not by the entry price of the hedge.

The behavioural pattern is predictable and persistent: demand for protection surges after a drawdown, when it is most expensive and least effective, and evaporates during calm markets, when it is cheapest and most effective. An investor who understands this pattern and acts against it, buying protection in calm periods and allowing it to expire or monetising it in stressed periods, is running a process with a structural edge over the crowd, and the edge comes not from better information but from a willingness to pay a premium that feels like a waste until the one time it is not.