Modeling and forecasting the volatility of petroleum futures prices

We investigate volatility models and their forecasting abilities for three types of petroleum futures contracts traded on the New York Mercantile Exchange (West Texas Intermediate crude oil, heating oil #2, and unleaded gasoline) and suggest some stylized facts about the volatility of these futures markets, particularly in regard to volatility persistence (or long-memory properties). In this context, we examine the persistence of market returns and volatility simultaneously using the following ARFIMA-GARCH-class models: ARIMA-GARCH, ARFIMA-GARCH, ARFIMA-IGARCH, and ARFIMA-FIGARCH. Although the ARFIMA-FIGARCH model better captures long-memory properties of returns and volatility, the out-of-sample analysis indicates no unique model for all three types of petroleum futures contracts, suggesting that investors should be careful when measuring and forecasting the volatility (risk) of petroleum futures markets.

► The existence of an effective volatility model and its forecasting ability are investigated for three types of petroleum futures. ► Some stylized facts about the volatility of these futures markets are examined using the following ARFIMA-GARCH-class models. ► The ARFIMA-FIGARCH model better captures long-memory properties of returns and volatility simultaneously. ► No unique model for all three types of petroleum futures contracts, therefore investors should be careful when measuring and forecasting the volatility (risk) of petroleum futures markets.