Volatility Arbitrage
Exploit volatility mispricings
Positions in Chart: Buy undervalued option + Sell overvalued option. Spot price: 25800
Setup
Buy undervalued option + Sell overvalued option
When to Use
- Arbitrage volatility discrepancies
Market Outlook
Risk & Reward
Strategy Details
Description
Volatility arbitrage is the pinnacle of sophisticated options trading that exploits discrepancies between implied volatility (option prices) and realized volatility (actual price movements) to generate consistent risk-adjusted returns through systematic mispricing identification and correction. This advanced strategy involves simultaneously buying undervalued options and selling overvalued options while maintaining market-neutral exposure, allowing traders to profit from volatility mean reversion and pricing inefficiencies without directional market risk. The strategy is particularly effective when systematic biases exist in volatility pricing, such as volatility risk premiums or behavioral biases that create persistent mispricings in options markets. Professional volatility traders and quantitative hedge funds use volatility arbitrage as a core strategy, employing sophisticated mathematical models and statistical analysis to identify profitable opportunities across multiple time frames and market conditions. The strategy requires advanced understanding of volatility forecasting, options pricing models, and statistical arbitrage techniques to achieve consistent profitability while managing model risk and execution costs. Volatility arbitrage often involves complex multi-asset positions and dynamic hedging strategies that require significant technological infrastructure and risk management capabilities
Example
If NIFTY is at ₹25,800, set up: Buy ₹25,800 straddle trading at 18% implied volatility when forecasted realized volatility is 22%, while selling ₹26,000 strangle trading at 20% implied volatility when forecasted realized volatility is 16%, creating market-neutral exposure with profit from volatility convergence.
This information is for educational purposes only and should not be considered as financial advice. Always consult with a qualified financial advisor before making investment decisions. Data is constructed and is not actual. Calculations may have errors.
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