A positive volatility risk premium is not, by itself, an options profit calculation. The distinction matters when a learner turns a research chart into a claim that selling volatility would have made money.

This breakdown uses an explicitly hypothetical research exercise—not an executed trade—to show where that inference breaks down. The aim is to separate evidence about a market measure from evidence about a particular strategy.

What the source actually describes

In its May 2024 financial stability analysis, the European Central Bank described volatility risk premia as the difference between implied and subsequently realised volatility. Its chart compared those measures over matching thirty-day horizons for broad equity indices.

The ECB also explained that short-volatility strategies seek to benefit from low or declining equity volatility, while potentially suffering large losses during volatility spikes. It discussed selling equity options and taking short positions in VIX-based derivatives as examples.

Those are findings and explanations from May 2024, not a statement about present market conditions. More importantly, the chart’s volatility spread and a specific strategy’s profit are different objects.

The hypothetical mistake: treating a spread as a return

Imagine a learner reviewing a hypothetical chart in which implied volatility exceeds subsequently realised volatility. The learner writes:

“Implied volatility was higher, so my option-selling strategy would have been profitable.”

The first part describes the assumed relationship between two volatility measures. The second introduces a strategy that the chart has not defined or tested.

Nothing in that observation identifies a particular contract, transaction price, position size or closing rule. Without those details, there is no specified transaction whose profit can be calculated.

The correction is not to assume that the strategy would lose. It is to stop at the narrower conclusion: the hypothetical volatility spread is positive; the proposed strategy’s result remains undetermined.

Build a bridge from measure to strategy

Before accepting a profit claim, create a research worksheet with three sections:

  • Measure: Name the implied-volatility measure, the underlying index and the subsequent realised-volatility window. State whether the evidence describes volatility or money earned.
  • Strategy: Specify the hypothetical instrument, position direction, opening and closing rules, and sizing method. “Sell volatility” is a category, not a complete transaction description.
  • Accounting: Identify the transaction prices and costs that a profit calculation would require. Mark unavailable inputs as missing rather than silently supplying favourable assumptions.

This worksheet does not establish profitability. It identifies what additional evidence would be needed to investigate it. Keep the distinction visible in your self-learning notes.

Check the loss question separately

Even a properly specified profit calculation would not answer every risk question. The ECB’s May 2024 discussion explicitly paired the income rationale for short-volatility strategies with the possibility of large losses during volatility spikes.

For the hypothetical strategy, therefore, ask separately: what assumptions describe a quiet period, and what assumptions describe a volatility spike? Do not let a positive spread substitute for examining the adverse scenario.

A useful mentorship question is: “Which part of my conclusion comes from the source, and which part requires a strategy model?” That invites a review of reasoning rather than a prediction.

The practical boundary is simple: use the volatility risk premium to frame a research question, not to declare an untested trade profitable.

Education only — not financial advice, trading signals or guaranteed results. Hypothetical examples and simulated practice are not actual historical market outcomes.