FOMO: FLEX Options and Market Outcomes

By Shivesh Prakash, Frank Ferstler, Nicholas Pezolano

Rating

1827
Battle Count: 50

Relevance

8/10
Highly relevant for understanding market microstructure, volatility regimes, and the predictive power of institutional derivatives activity for option positioning and volatility carry strategies.

Implementation Complexity

7/10
Requires access to proprietary FLEX and listed-option data, sophisticated data linking/mapping, and implementation of matched-control DiD with clustered standard errors.

Reproducibility

2/5
The paper provides detailed methodology and data sources (OCC, Cboe, Newmark Risk), but the specific linked dataset construction pipeline and proprietary data from Newmark Risk are not publicly available. No public code repository is provided.

Abstract

FLEX options are customized exchange-traded contracts allowing participants to choose nonstandard strikes, expirations, exercise styles, and settlement terms while retaining central clearing. We investigate whether single-name FLEX activity leaves measurable footprints in regular listed-option markets and underlying equities. Using a linked dataset of FLEX consolidations, daily open-interest files, listed-option chains, equity returns, and corporate actions over 250 trading days (March 2025-March 2026) across 41 underlyings and 53 event dates, we document three primary empirical findings: (1) Matched-control difference-in-differences estimates reveal a robust post-event increase in listed-option open interest (beta = 0.3061, p = 0.0042, Benjamini-Hochberg p = 0.0168). (2) FLEX activity is strongly selected into high implied-volatility (IV) environments, concentrated in mid-price underlyings (date-fixed-effect ATM IV premium beta = 0.1235, p = 0.0030). (3) Event-day IV-minus-realized-volatility spreads predict execution-stressed short-straddle returns (beta = 0.0366, p = 0.0100). Short-lived equity return effects (CAR_0 difference of -0.85%, p = 0.0442) do not persist over 1-to-5-day horizons. Overall, FLEX activity serves primarily as an observable marker of institutional volatility demand and open-interest positioning rather than a directional stock-return predictor.

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