Alina Schanz

Worked with · 05 of 12Derivativesderibit.com

Deribit

I collaborated with the Deribit team on research around crypto derivatives market structure, volatility and risk.

Relationship
Worked with
Company
Crypto options and futures exchange
Format
Research collaboration
Focus
Derivatives market structure, volatility and risk
Covered
The volatility surface, portfolio margin, perpetuals and futures, execution, DVOL

Strikes and expiries

A large part of my work was understanding how options markets behave across different strikes and expiries. On Deribit, options can be quoted directly in implied volatility, which makes volatility itself part of the market rather than just an input to a pricing model. I spent time looking at how changes in IV, skew and the term structure affect the price and risk of a position even when the underlying asset has not moved very far.

Fig. 1Volatility across strikes and expiries

Near expiryFar expiryAt the moneyLower strikesHigher strikes

Schematic, not data

Implied volatility differs by strike and by expiry, so a position can change in value while the underlying barely moves.

Direction and volatility

I was particularly interested in the difference between directional exposure and volatility exposure. Two positions can have similar delta at one point in time and behave very differently once gamma, vega, time decay and changes in the volatility surface start to matter. That made it more useful to look at the portfolio as a set of interacting risks rather than a collection of individual contracts.

Fig. 2Same delta, different position

CallFuturesSame delta, 0.53No profit or lossPrice 60100140

Black-Scholes illustration: 30 days, 60% implied volatility

A futures position and an at-the-money call with the same delta today. As the price moves away, gamma separates them.

Margin

Margin was another important part of the work. Deribit’s portfolio margin system stress tests the portfolio against changes in both underlying price and volatility and uses the worst scenario to determine margin requirements. I looked at how hedged portfolios can become more capital efficient, but also at cases where a position that appears well hedged under normal conditions can consume much more margin when volatility rises, correlations change or one side of a hedge becomes less effective.

Fig. 3Margin from the worst scenario

Profit and loss of a short straddle, in percent of the underlying, by move in price (columns) and change in implied volatility (rows)
Volatility change−12%−8%−4%0%+4%+8%+12%
IV +30 pts−7.9−7.0−6.7−6.8−7.5−8.6−10.1
IV +15 pts−5.1−3.9−3.4−3.4−4.0−5.2−6.9
IV 0, unchanged−2.6−1.0−0.1+0.0−0.6−1.9−3.9
IV −15 pts−0.3+1.8+3.1+3.4+2.7+1.2−1.1

Profit and loss, % of the underlyingWorst cell: -10.1%, the margin

Black-Scholes illustration, not Deribit’s parameters

A short straddle revalued across moves in price and volatility. It loses most when volatility rises and the price moves far, and the margin follows the worst cell.

Perpetuals and futures

I also spent time on perpetuals and futures. Funding creates a continuous transfer between longs and shorts depending on the premium between the perpetual mark price and the index. That makes the basis itself useful information. I looked at how funding, futures curves and options pricing can reinforce or contradict each other, especially around periods of leverage buildup or abrupt changes in positioning.

Fig. 4Three readings of positioning

  1. FundingThe perpetual’s premium to the index
  2. Futures curveThe basis by expiry
  3. OptionsImplied volatility and skew
They can agree or contradict each other, most of all around leverage buildup.

Execution

Execution quality was another part of the research. A derivatives position can look attractive at mid price or model value while being much harder to execute at size. I looked at order book depth, spread, implied-volatility quotes and the difference between screen liquidity and executable liquidity for larger structures.

For larger option trades, that distinction becomes especially important because institutional execution can move away from the public order book into block trades and RFQs. Deribit allows multi-leg structures to be quoted privately by market makers and then reported back to the exchange. I was interested in how that changes the way liquidity should be measured. Visible order-book depth is only one part of the real market.

Fig. 5Two kinds of liquidity

A

Screen liquidity

  • Order book depth
  • Spread
  • Implied-volatility quotes
B

Executable liquidity

  • Block trades
  • RFQs for multi-leg structures
  • Quoted privately, reported to the exchange

Mark price

Mark pricing and liquidation mechanics were also relevant. Deribit does not simply use the last trade for risk calculations. Its mark price uses several market inputs and safeguards designed to reduce the effect of temporary distortions or thin books. In portfolio margin accounts, liquidation can also involve delta hedging through futures or perpetuals rather than simply closing every position independently.

Volatility as a market

I also looked at volatility as its own tradable market. Deribit’s DVOL index and DVOL futures make it possible to separate a view on volatility from a direct directional view on BTC. That creates another way to think about positioning: not just whether BTC moves up or down, but whether the market is underpricing or overpricing the size of the move.

Fig. 6DVOL, a year of daily closes

BTC DVOLMedian 42.8 · range 33.6 to 82.6 · latest 36.5

82.6 on Feb 5, 2026
Monthly averages as a table
MonthBTC DVOL
October 202544.4
November 202549.1
December 202545.6
January 202641.2
February 202654.4
March 202654.3
April 202644.0
May 202638.2
June 202643.5
July 202637.6
August 202637.3
September 202637.2
October 202635.8

Data: Deribit public API, Oct 5, 2025 to Oct 4, 2026

Deribit’s 30-day implied volatility index for bitcoin, daily close. A view on the size of the move, apart from its direction.

Together

The broader question throughout the collaboration was how much risk a derivatives position actually carries once price, volatility, funding, liquidity and margin are considered together. That was more useful to me than looking at option premium or leverage in isolation.

Fig. 7Considered together

  1. Price
  2. Volatility
  3. Funding
  4. Liquidity
  5. Margin

Materials