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- The Variance Risk Premium: The Research Behind Why Selling Options Works
The Variance Risk Premium: The Research Behind Why Selling Options Works
Four cited acamdemic papers. The edge that premium sellers harvest is not folklore. It has a name in the academic literature, decades of peer-reviewed evidence, and a clear price tag in risk.
Every time you sell a covered call, write a cash-secured put, or run the wheel, you are collecting something that financial economists have studied and named: the variance risk premium. Most sellers feel the edge without ever learning what it is or where it comes from. That gap matters, because understanding the variance risk premium tells you why the edge exists, when it tends to be richest, and, most importantly, what you are being paid to endure. This is the research-grounded foundation beneath everything we do here, and it deserves to be understood plainly.
Start with two different forecasts of how much a market will move. The first is the volatility implied by option prices, which reflects what the market is collectively willing to pay for protection and exposure. The second is the volatility the market actually goes on to deliver, measured after the fact. The variance risk premium is the gap between them.
In practice, implied volatility tends to sit above the volatility that is later realized. Options, in other words, are usually priced as if the future will be bumpier than it turns out to be. The seller who provides those options collects that difference, on average, as compensation. This is not a quirk of one market or one period. Carr and Wu (2009) developed a direct way to measure the premium by synthesizing variance swap rates from portfolios of options, then comparing them to realized variance, and documented the premium across five stock indexes and dozens of individual names. The same model-free approach to implied variance is the logic that underpins the VIX, so this is not an obscure corner of theory. It is the machinery the whole volatility market runs on.

The Evidence That It Is Real
A single tidy definition is easy to wave away. The weight of the peer-reviewed evidence is harder to dismiss.
Bakshi and Kapadia (2003) approached the question from the cleanest possible angle. They took long option positions and stripped out the directional bet by hedging away the delta, leaving a portfolio whose return should reflect only volatility exposure. If volatility carried no premium, those delta-hedged positions should break even over time. They did not. The portfolios lost money on average, the losses were larger precisely when volatility was high, and the result survived controls for jump risk. The mirror image of a buyer who loses on average is a seller who is compensated on average.
Coval and Shumway (2001) found the same story from the angle of raw option returns. Buying index puts, the purest form of crash insurance, delivered average returns below the risk-free rate, which is to say that the systematic act of holding that protection cost money over time. They also showed that option returns could not be explained by exposure to the broad market alone, a sign that a separate, priced factor was at work. Carr and Wu (2009) confirmed that point directly: the excess returns from variance positions were not captured by standard asset-pricing factors like the market, size, or value, which means investors are paying to avoid variance for its own sake, not merely because it happens to correlate with stock prices.
Three independent methods, three peer-reviewed journals, one consistent conclusion. The premium is there.

Why It Exists: You Are Selling Insurance
A persistent edge in an efficient market should make you suspicious, so the honest question is why this one survives. The answer is that the variance risk premium is not a free lunch. It is an insurance premium.
Investors are not indifferent to volatility. They fear it most at the worst possible moments, because volatility spikes tend to arrive exactly when portfolios are falling and cash is scarce. Demand for protection is therefore highest when protection is most expensive, and buyers willingly overpay for it the way a homeowner overpays, in expected-value terms, for fire insurance. Bakshi and Kapadia (2003) made this concrete by noting that the underperformance of long-option positions widens when volatility is elevated, which is the behavior of an insurance market repricing risk in a storm. When you sell premium, you are the one writing the policy. You collect a steady stream of small payments in calm weather in exchange for shouldering the large, infrequent losses when the storm finally hits.
That framing is the whole point. The edge is real and documented, and it is real precisely because it comes attached to a genuine risk that someone has to bear.
The variance risk premium is not a constant. It widens and narrows with conditions, and that movement carries information.
Bollerslev, Tauchen, and Zhou (2009) showed that the size of the premium predicts future market returns, explaining more than fifteen percent of the variation in quarterly stock returns over their sample, a degree of predictability that outpaced familiar tools like the price-to-earnings ratio and the dividend yield. High readings tended to precede stronger subsequent returns. For a practitioner, the takeaway is not a market-timing system, it is a tendency: the compensation for selling volatility tends to be richest after fear has already spiked, when implied volatility is elevated relative to its own history. That is the empirical backbone behind the discipline of selling when implied volatility percentile is high rather than selling indiscriminately. It also helps explain why the premium has historically been more dependable in broad index options than in individual names, since index volatility carries the systematic fear that investors most want to hedge.

What This Means for How You Trade
None of this requires you to trade variance swaps or read Greek-laden journal articles for a living. It reframes what you are already doing. A covered call, a cash-secured put, a credit spread, an iron condor, a poor man's covered call: each is a different vehicle for harvesting the same underlying premium. The structure changes, the source of the edge does not.

Three practical conclusions follow. First, the edge is structural and documented, which is reason for confidence but not for swagger. Second, the premium is usually richer when implied volatility sits high in its own range, so patience about entry is not timidity, it is harvesting the premium when the market is paying the most for it. Third, and most important, the premium is compensation for bearing real risk, which means it can only be kept by those who survive the periods when that risk shows up.
A Risk Reality Check
Here is where most retellings of this research go wrong. They present the variance risk premium as a discovered edge and stop there, as if the academic stamp of approval removes the danger. It does the opposite. The premium exists because sellers periodically take losses large enough to scare most of them out of the strategy.
Think again about the insurance company. An insurer that writes policies and pockets premiums looks brilliant for years, right up until the hurricane that it failed to reserve for wipes out a decade of profits. The studies say as much in their own language: Bakshi and Kapadia (2003) found the worst outcomes for option buyers, and therefore the richest compensation for sellers, clustered in high-volatility regimes, which is simply the academic way of saying the bill comes due in a crisis. This is why position sizing is not a footnote to premium selling, it is the strategy. An edge you cannot survive is not an edge. The variance risk premium rewards the seller who treats every position as if the storm could arrive tomorrow, because eventually one will.

Key Takeaways
The variance risk premium is the gap between the volatility implied by option prices and the volatility actually realized, and it is usually positive, which is the structural reason selling options carries an edge.
The evidence is robust and peer-reviewed. Delta-hedged option positions lose on average, index puts have historically returned less than the risk-free rate, and the premium is not explained by ordinary market risk.
It exists because options are insurance. You are paid to bear volatility and crash risk, not to predict direction, and the payment is real because the risk is real.
The premium breathes. It tends to be richest when implied volatility is already elevated, which is the research-backed case for patience about when you sell.
Because the edge is compensation for risk, survival is the whole game. Position sizing and discipline are not constraints on the strategy. They are what lets you keep collecting the premium across the cycles when it is paid out in losses.
Frequently Asked Questions
Is the variance risk premium the same as the volatility risk premium? They are closely related and the terms are often used interchangeably in casual conversation. Strictly, variance is volatility squared, so the variance risk premium is defined on squared returns and the volatility risk premium on volatility itself. The academic measurement work, such as Carr and Wu (2009), is usually framed in variance terms because variance can be replicated cleanly from a portfolio of options. For a practitioner the distinction rarely changes a decision, since both describe the same phenomenon of options being priced richer than subsequent realized movement.
If this edge is documented, why does it not get arbitraged away? Because it is not a mispricing, it is a risk premium. Arbitrage erases free profits, but the variance risk premium is payment for taking on a real and uncomfortable exposure: large losses concentrated in market stress. Someone has to hold that risk, and sellers are compensated for doing so. The premium persists for the same reason insurance companies stay in business collecting premiums that exceed expected payouts, because bearing catastrophe risk is a service that buyers will keep paying for.
Does a high variance risk premium mean I should sell more aggressively? A high premium has historically meant richer compensation for selling, and Bollerslev, Tauchen, and Zhou (2009) found that elevated readings tended to precede stronger market returns. That is a tendency across many observations, not a guarantee on any single trade, and elevated premium often coincides with genuinely turbulent conditions. The sound response is to favor selling when the premium is rich while sizing positions for the possibility that the turbulence is real, not to abandon risk management because a statistic looks favorable.
Where does the premium come from in plain terms? From fear, and from the willingness to pay to avoid it. Investors dislike volatility, especially the downside kind, and they pay up for options that protect them or that promise outsized gains. That willingness to overpay, aggregated across the market, is the premium that sellers collect. It is the same reason puts tend to be more expensive than a coin-flip view of the future would justify.
References
Bakshi, G., and Kapadia, N. (2003). Delta-Hedged Gains and the Negative Market Volatility Risk Premium. Review of Financial Studies, 16(2), 527-566. https://doi.org/10.1093/rfs/hhg002
Bollerslev, T., Tauchen, G., and Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. Review of Financial Studies, 22(11), 4463-4492. https://doi.org/10.1093/rfs/hhp008
Carr, P., and Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341. https://doi.org/10.1093/rfs/hhn038
Coval, J. D., and Shumway, T. (2001). Expected Option Returns. Journal of Finance, 56(3), 983-1009. https://doi.org/10.1111/0022-1082.00352
Closing
The variance risk premium is the rare case where the academic literature and the practitioner's intuition point at exactly the same thing. The edge is real, it is documented, and it has a clear origin in the price people pay to sleep at night. It is also, just as clearly, compensation for a risk that will eventually arrive. Respect both halves of that sentence and you understand premium selling better than most people who do it for a living.
Probabilities over predictions,
Andy Crowder
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