Volatility
Realized and implied volatility, skew, term structure, event risk and dispersion.
Avermont research is intended to reduce guesswork. It connects volatility, positioning, liquidity, macro conditions and market structure so that product selection, execution timing and risk appetite can be framed with more context.

Each stream answers a different question, but the best conclusions usually come from combining several of them.
Realized and implied volatility, skew, term structure, event risk and dispersion.
Open interest, funding, basis, option concentration and maturity structure.
Depth, spread, turnover, venue quality, fragmentation and execution conditions.
Rates, dollar liquidity, equities, commodities and broader risk sentiment.
Activity, adoption, infrastructure development and ecosystem-level trends.
Capital movement, institutional participation and changing demand across segments.
Policy changes, venue structure, custody, settlement and institutional market evolution.
What-if analysis linking market shocks to volatility, liquidity and portfolio exposures.
Research should not stop at publishing observations. The purpose is to combine several lenses into a usable decision framework that can inform pricing, execution and risk-taking.
The most useful research functions produce repeatable outputs that help the desk and leadership stay synchronized.
Short-form review of overnight moves, volatility, funding, flows and notable cross-asset changes.
Commentary on realized and implied volatility conditions, skew shifts and event-risk pricing.
Open-interest, basis, funding and maturity snapshots to help read leverage and crowding.
Depth, spread, turnover and venue-quality observations relevant to execution planning.
What-if frameworks tying a market shock to product performance, collateral effects and risk posture.
Thematic analysis linking a market view to potential instrument, hedge or execution choices.
Research matters most when it changes action. These are the main pathways from observation to decision.
A useful intelligence platform balances fast observation with deeper thematic work and practical execution context.
The intelligence process is designed to turn raw information into a clearer operating view.
Collect market, derivatives, liquidity and macro data.
Identify what changed and what appears unusual.
Compare price action with positioning and volatility.
Translate the signal into product and execution relevance.
Highlight risk implications, scenarios and escalation triggers.
Distribute concise conclusions to the desk and leadership.
See how research connects with the broader Products and Markets platform.