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Crypto Options Flows, Volatility Regimes, and DVOL Risk Premium

Article Amberdata research

Summary

This Q2 2023 report teaser examines Bitcoin and Ethereum options activity, volatility behavior, and the DVOL index. It describes a rules-based method for estimating trade aggressor direction using weighted heuristics, then discusses differences in spot and implied-volatility relationships, relative realized volatility, and the effect that selling covered calls against staked Ether may have on volatility supply. The report also introduces DVOL futures and a measure comparing DVOL with at-the-money volatility to capture surface curvature.

The authors report that Bitcoin implied volatility often exceeded realized volatility and discuss short-volatility strategies, including a prior straddle-selling backtest with delta hedging. They attribute the premium in part to demand for options and limited institutional covered-call supply. These observations are specific to the period and data venues analyzed; crypto options are fragmented, and the report notes that volatility analysis remains comparatively immature. The teaser offers selected findings rather than the complete report, and its strategy discussion is not a guarantee of future profitability.

Key ideas

  • A weighted set of trade-direction heuristics is used to infer option aggressor activity.
  • Bitcoin and Ether showed different spot-to-volatility behavior and relative realized-volatility patterns in the period discussed.
  • Selling covered calls against staked Ether may add volatility supply and affect implied volatility.
  • DVOL reflects option prices across much of the volatility skew, while its comparison with at-the-money volatility can indicate surface curvature.
  • The report describes a historical Bitcoin volatility risk premium and a short-volatility backtest, but its findings are period- and venue-dependent.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.