Term Structure Arb

Volatility Strategies Expert Singapore STI DBS OCBC UOB SINGTEL KEPPEL CAPLAND

Exploiting Mispricings in IV Across Expirations

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Quick Reference

Strategy Type Volatility Term Structure Arbitrage / Relative Value
Market Outlook Exploiting Mispricings in IV Across Expirations
Risk Profile Varies by structure - typically defined risk with calendar spreads
Reward Profile Profits when term structure normalizes toward expected levels
Time Horizon Days to weeks depending on term structure thesis
Iv Environment Trade when term structure is at extremes (steep contango or backwardation)
Breakeven Depends on structure and term structure movement

Payoff Profile

Term structure arbitrage doesn't have a traditional stock-price payoff diagram. Returns depend on how IV across expirations changes relative to each other. The conceptual diagram shows P&L vs term structure change. • Term structure moving toward expected direction (flattening or steepening) • Term structure moving against you OR stock movement outside expected range • Position structured to profit from relative IV changes across expirations

Singapore Market Details

Primary Instruments STI Options, DBS, OCBC, UOB - stocks with multiple expiration cycles
Mas Compliance MAS regulated; margin varies by structure
Contract Size 1,000 shares for equities; S$5 per point for STI
Trading Hours 9:00 AM - 5:00 PM SGT
Expiry Options Monthly expiries; need at least 2 expiration months for term structure trades
Settlement T+2 for shares; T+1 for SGX derivatives
Tax Treatment No capital gains tax for individuals in Singapore
Term Structure Context Singapore options typically show contango; backwardation during stress events

Frequently Asked Questions

Is term structure arbitrage actually arbitrage?

Not pure arbitrage - it's more like 'relative value trading.' True arbitrage is risk-free profit. Term structure trades have risk: stock can move, term structure can move against you. It's 'arbitrage' in the sense of exploiting mispricings between related instruments.

What's the maximum I can lose on a calendar spread?

Maximum loss is the debit paid to enter the position. This occurs if the stock moves far away from the strike (both options go to near-zero or intrinsic). In practice, you'd likely exit before this point.

Why does the stock need to stay near the strike for calendars to profit?

Calendar spreads have maximum value when the stock is at the strike. At-the-money, time value is highest, and the decay differential is greatest. When the stock moves away, both options move toward intrinsic value, reducing the spread value.

Can I trade term structure on Singapore stocks?

Yes, if there are multiple expiration months with sufficient liquidity. Major stocks like DBS, OCBC, UOB, and STI options typically have monthly expirations. Check liquidity before trading.

How is term structure trading different from just buying calls or puts?

Buying calls/puts is directional (betting on stock movement). Term structure trading focuses on the relationship between IVs at different expirations. You can profit from term structure normalization even if the stock doesn't move much.

How do I measure term structure without a fancy tool?

Look at IV for ATM options at different expirations. Calculate: Far Month IV - Near Month IV. Track this over time. If current slope is much higher or lower than typical, you may have a term structure opportunity.

Should I hold a calendar spread through earnings?

It depends on your goal. If you bought the calendar TO capture earnings IV crush, yes. The front month IV will crush more than back month. But if the stock gaps significantly, the calendar may lose. Size appropriately for the event risk.

What's the best expiration combination for calendars?

Common choices: 30-day front / 60-day back, or 45-day front / 75-day back. The key is enough time differential (30+ days) for decay differential to matter. Too close (7-day spread) has limited benefit; too far (90+ day spread) ties up capital.

How does a diagonal differ from a calendar for term structure?

Calendars are same strike, different expiration - pure term structure + theta. Diagonals are different strikes AND different expirations - adds directional and potentially skew exposure. Use diagonal if you have a directional view alongside term structure view.

When should I close a calendar spread?

Close when: (1) 50-75% of max profit achieved, (2) Stock moves significantly from strike, (3) Front month approaching expiration (5-7 days), (4) Term structure thesis achieved, (5) Stop loss hit. Don't hold to expiration - manage actively.

How do market makers manage term structure risk?

Market makers track vega by expiration bucket, not just net vega. They hedge parallel shifts with ATM options and term structure exposure with calendar spreads. They set limits on term structure exposure and may hedge with VIX futures if available.

What is forward variance and how is it used?

Forward variance is the variance implied for a future period (not from today, but between two future dates). Calculated from term structure: σ²_forward = (T2×σ2² - T1×σ1²)/(T2-T1). If forward variance is extreme, it may indicate mispricing in a specific period.

How do I integrate term structure and skew analysis?

View the volatility surface as 3D (strike × expiration × IV). Term structure can vary by strike - OTM puts may have different term structure than ATM. Analyze both dimensions together. Trade opportunities where surface is 'kinked' or extreme.

What causes persistent term structure anomalies?

Persistent anomalies can result from: (1) Structural hedging demand (covered call selling keeps near-term call IV low), (2) Supply/demand imbalances in specific expirations, (3) ETF/structured product flows, (4) Market maker positioning. Not all 'mispricings' will correct quickly.

How do I backtest term structure strategies?

Requires historical IV data across multiple expirations - harder to obtain than spot data. Must account for realistic execution (bid-ask spreads on calendars can be wide). Consider earnings dates and events. Test out-of-sample and be cautious of overfitting.

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