We study forward curves formed from commodity futures prices listed on the Standard and Poor's-Goldman Sachs Commodities Index (S&P GSCI) using recently developed tools in functional time series analysis. Functional tests for stationarity and serial correlation suggest that log-differenced...

Using 10-year option and future data of global market, the risk-neutral skewness, estimated by model-free method has been found with the ability of pricing the average cross-sectional return in the global commodity future market, generating extra 8.3% return annually. The higher (lower) current...