Event Volatility

Volatility Strategies Advanced United Kingdom FTSE100 UK100 BP HSBA VOD BARC LLOY AZN SHEL GSK GBP/USD

Not primarily directional; trading the volatility expansion and contraction around known events

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Quick Reference

Strategy Type Event-driven volatility trading - Profits from predictable IV patterns before, during, and after scheduled events
Market Outlook Not primarily directional; trading the volatility expansion and contraction around known events
Risk Profile Varies by approach - pre-event (long vol) has defined risk; post-event (short vol) can have higher risk
Reward Profile Pre-event captures IV expansion; post-event captures IV crush; through-event captures actual move
Time Horizon Hours to days; tied to specific event dates
Iv Environment Events create localized IV spikes regardless of overall environment
Breakeven Pre-event: IV must rise enough to cover theta; Post-event: IV crush must exceed any adverse move
Alternative Names Earnings Volatility, Event-Driven Options, Binary Event Trading, Catalyst Trading, News Trading

Payoff Profile

Event volatility payoffs depend heavily on IV changes and event outcomes. Multiple scenarios must be considered.

United Kingdom Market Details

Primary Instruments FTSE 100 options, UK single stock options, GBP options
Fca Compliance Standard listed options; requires understanding of event risk
Contract Size £10 per point for FTSE 100 options; 1,000 shares for UK equity options
Trading Hours 08:00 - 16:30 GMT for LSE; some events occur outside UK hours
Us Events Affecting Uk Major impact on global markets including FTSE • Significant spillover to UK markets • Tech giants affect global sentiment
Settlement FTSE options European-style (cash); equity options American-style (physical)
Margin Requirements Varies by structure; short straddles require significant margin
Stamp Duty No stamp duty on options
Tax Treatment Capital Gains Tax on profits
Risk Warning Event volatility trading involves significant risks including: binary outcomes that can cause large losses, IV crush that may not offset adverse price moves, and events that surprise in magnitude or direction. Sizing must account for worst-case scenarios. This strategy requires understanding of both volatility and event dynamics.

Frequently Asked Questions

Should I hold options through earnings?

Generally, no - unless you have a specific reason. On average, implied move exceeds actual move, so option sellers have an edge. If you hold through earnings, be prepared for IV crush to hurt even if you're right on direction. Most beginners should capture IV rise pre-earnings and exit before the announcement.

Why did my call lose money even though the stock went up after earnings?

IV crush. Even if the stock moves in your direction, the collapse in implied volatility can more than offset your gain. If IV dropped from 50% to 25% and the stock only moved 3%, the vega loss exceeds the delta gain. This is the most common surprise for new event traders.

What's the difference between expected move and actual move?

Expected move is what the options market implies will happen (calculated from straddle price). Actual move is what really happens. On average, expected > actual about 55-60% of time, which is why option sellers have a slight edge around events.

When should I trade event volatility on UK stocks vs FTSE?

Trade individual UK stocks for company-specific events (earnings). Trade FTSE for market-wide events (BoE meetings, major data). FTSE options are more liquid. Note that UK stock options can be less liquid than US equivalents, so check bid-ask spreads.

How much should I risk on event trades?

Maximum 1-2% of your account per event. Events have binary outcomes - you can be completely wrong. Never risk an amount that would significantly impact your account. Treat event trades as high-variance bets, not core positions.

How do I know if event IV is 'rich' or 'cheap'?

Compare current IV to historical pre-event IV levels for the same type of event. Also compare implied move to historical actual moves. If current implied is in the top quartile vs history, it's 'rich' (favor selling). If bottom quartile, it's 'cheap' (favor buying).

Should I trade pre-event or post-event strategies?

Pre-event (buying vol) has defined risk and captures predictable IV rise. Post-event (selling vol) captures reliable IV crush but requires waiting and has some continuation risk. Pre-event is safer; post-event often has slightly better expected return but more can go wrong.

How do I handle an event that occurs outside UK market hours?

Fed decisions (19:00 GMT) and overnight US earnings affect UK markets at the next open. You can trade overnight FTSE futures, position beforehand and accept gap risk, or wait for UK open. After-hours events create execution challenges and gap risk.

What about trading through events with spreads instead of straddles?

Spreads reduce IV sensitivity (lower net vega) so IV crush hurts less. This makes them better for directional through-event bets. However, they also cap your upside if the move is large. Use spreads when you have directional view but want to mitigate IV crush impact.

How does central bank trading differ from earnings trading?

Central bank events affect entire markets, not just individual stocks. IV build-up is often shorter (3-5 days vs 2-3 weeks for earnings). The crush is usually faster and cleaner since there's a single announcement. Multiple instruments trade the same event (FTSE, GBP, rates).

How do I model event volatility for pricing?

Decompose variance into event and non-event components: Total Var = Event Var + Non-Event Var. Use term structure to estimate non-event IV; solve for implied event move. For more sophistication, use jump diffusion models that explicitly model discontinuous price changes at events.

What's the best way to backtest event strategies?

You need historical options data (expensive), event dates, and careful methodology. Avoid survivorship bias (include delisted companies), look-ahead bias (don't use future information), and liquidity fiction (use realistic fills). Test on out-of-sample data. Historical edge may not persist.

How should I manage portfolio-level event risk?

Track aggregate event exposure: total vega, max loss if all events go wrong, and correlation during stress. Set limits (e.g., max 2% per event, 10% aggregate). Remember that events correlate during market stress - your earnings trades and central bank trades might all go wrong together.

Can I extract market-implied event probabilities?

Yes, using option prices across strikes. For binary events, digital option or strike interpolation methods work. For continuous outcomes, fit a distribution (mixture models) to option prices. The derived probabilities reflect market consensus; trade if you disagree with genuine edge.

What's the role of event vol in a broader volatility strategy?

Event vol can be an alpha source (systematic earnings strategies), a risk factor to manage (event exposure in vol portfolio), or a relative value opportunity (rich vs cheap event vol across names/times). Sophisticated vol traders integrate event analysis with broader term structure, skew, and vol surface strategies.

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