Options and Volatility Trading
Commodity markets revolve around the real optionality embedded in physical assets. Because commodity prices are highly volatile, these options can be extremely valuable but costly to build or acquire. Large investments in commodity assets are therefore rarely left unhedged: market conditions may change before an asset begins producing, potentially rendering the investment uneconomic. Because the resulting price exposure is often highly nonlinear, end users frequently manage risk with options and other nonlinear derivatives. Portfolio managers also use commodity options as insurance, while professional volatility traders provide that insurance in exchange for a risk premium. Together, these flows make commodity options markets large and complex, creating a need for specialized pricing and hedging models—the focus of the CQL’s research on Options and Volatility Trading.
Research Papers
Working Paper #2026-02: An Introduction to Commodity Volatility Trading
Abstract
This paper surveys volatility-trading strategies commonly employed by professional commodity traders and market makers. It explains how many of these strategies arise from hedging imbalances across option strikes and maturities. The importance of the real optionality embedded in physical commodity assets — and the need to hedge the associated risks — has contributed to the rapid growth and increasing complexity of commodity derivatives markets.
Commodity volatility-trading strategies can be grouped broadly into three categories: short-term gamma trading, volatility-smile arbitrage, and trading in over-the-counter exotic options. Gamma trading seeks to harvest the volatility risk premium embedded in short-dated commodity options, with performance depending critically on the choice of hedging strategy. Volatility-smile arbitrage relies on pricing models that capture commodity-specific features; the paper presents one such model. Model choice also affects the valuation of exotic options, as illustrated by a binary option whose payoff resembles that of contracts traded in prediction markets.