Event Volatility

Volatility Strategies Advanced Australia XJO XVI ASX200 BHP CBA CSL NAB WBC RIO MQG TLS WES WOW Index Options Equity Options

Trading the IV lifecycle around scheduled and unscheduled events

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Quick Reference

Strategy Type Event-Driven Volatility Trading
Market Outlook Trading the IV lifecycle around scheduled and unscheduled events
Risk Profile Varies by structure - can be defined or undefined
Reward Profile Profits from IV expansion pre-event or IV crush post-event
Time Horizon Short term (days to weeks around events)
Iv Environment Exploits predictable IV patterns around known events
Breakeven Depends on structure and event outcome

Payoff Profile

IV follows a predictable pattern: rising pre-event, crushing post-event

Australia Market Details

Primary Events 11 per year (not January) - XJO/XVI impact • February/August peaks for ASX companies • Usually May - market-wide impact • Monthly - AUD and rate-sensitive sectors • Quarterly - RBA policy implications • Quarterly - broad market impact • Monthly - AUD and commodity sectors • Monthly - consumer discretionary focus
Asic Compliance ASIC regulated; strategy approval depends on structure chosen
Contract Size A$10 per point for XJO options; 100 shares for equity options
Trading Hours 10:00 AM - 4:00 PM AEST
Rba Announcement Time 2:30 PM AEST on decision days
Earnings Typical Timing Before market open or after close
Tax Treatment Short-term trading gains taxed as income
Margin Requirements Varies by structure - selling options requires margin
Liquidity Considerations IV premium highest in at-the-money options closest to event

Frequently Asked Questions

Should I hold options through earnings?

It depends on your edge. If you just want IV expansion, exit before earnings to avoid gap risk. Only hold through if you have a specific view that the stock will move MORE than implied. Most retail traders lack this edge and are better off taking IV gains before the event.

Why do options seem expensive before earnings?

Options price in the expected move from earnings uncertainty. Higher IV before earnings reflects the potential for a large gap. This isn't overpricing - it's pricing event risk. However, on average, options slightly overestimate the move, creating a small edge for sellers.

How quickly does IV crush after earnings?

Very quickly - usually within minutes to hours post-announcement. The majority of the crush happens by market open after an after-hours release. By the next day, IV is typically back near pre-event baseline.

What if the stock gaps huge on earnings?

If you're long vol, a huge gap is profitable (that's why you bought). If you're short vol, a gap beyond your breakevens causes loss. This is the fundamental risk of selling event premium. Size positions so that gap losses are acceptable, and use defined-risk structures.

Can I trade event volatility with a small account?

Yes, but carefully. Use defined-risk structures (iron condors, verticals) to cap losses. Start with fewer, less volatile events. A$5,000 account might trade 1-2 small events per month. Focus on learning the patterns before scaling up.

How do I calculate the expected move from a straddle?

Expected move ≈ ATM straddle price × 0.85. This approximates a one standard deviation move. For example, if the ATM straddle costs A$4.00, the expected move is about A$3.40. Compare this to historical average moves to assess fair value.

When exactly should I enter a pre-event long vol position?

Typically 2-3 weeks before the event when IV is still near baseline. Too early means excessive theta decay. Too late means IV has already expanded. Look for IV Rank below 40% for long vol entries.

How do I choose between iron condor and iron butterfly?

Iron condor: Wider profit zone, lower max profit. Best when you expect the stock to stay within a range but aren't confident of exact price. Iron butterfly: Narrow zone, higher max profit. Best when you expect the stock to 'pin' near a specific strike.

What if IV doesn't expand as expected before the event?

Sometimes IV is already elevated from previous events or market conditions. If IV expansion doesn't occur, your long vol position suffers theta decay. Consider cutting the position before expiry if the IV expansion thesis isn't working.

How do I manage a position when the underlying moves toward my short strikes?

Options: 1) Close for smaller profit or loss before breach. 2) Roll the tested side further out (in strike or time). 3) Add a far OTM option to cap risk. 4) Close threatened side, let other side work. Have a plan before entry - don't wait until you're at the strike.

How do I build a historical database for event analysis?

Track: Event date, stock price before/after, implied move (straddle), realized move, IV before/after, and any qualitative factors (beat/miss, guidance). Over time, you'll have data to calculate implied vs realized ratios and identify systematic patterns.

How does event VRP vary across different stock types?

Small caps tend to have larger event VRP (higher implied vs realized). Large caps are more efficiently priced. High-IV stocks (biotech, tech) have more volatile event VRP. Stable dividend payers have smaller but more consistent VRP. Analyze by sector and stock characteristics.

Can I replicate a variance swap payoff with options?

Yes, approximately. A delta-hedged straddle (gamma scalping) approximates variance swap economics. The key is frequent delta hedging. The more frequently you hedge, the closer you get to pure variance exposure. Transaction costs matter.

How do I hedge event concentration risk?

Options: 1) Limit number of concurrent event positions (max 3-5). 2) Diversify across sectors (don't cluster in banks). 3) Add XVI puts or VIX calls as tail hedges. 4) Leave cash buffer for adverse clustering. 5) Size each position smaller when you have multiple events.

What machine learning features are useful for predicting event outcomes?

Useful features: Pre-event IV Rank, implied vs historical move ratio, sector performance YTD, analyst revision momentum, management guidance history, options positioning (put/call skew), and earnings estimate dispersion. Combine for classification of 'likely exceed' vs 'likely undershoot' implied move.

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