Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Market efficiency and unbiasedness are tested in four agricultural commodity futures markets - live cattle, hogs, corn, and soybean meal - using cointegration and error correction models with GQARCH-in-mean processes. Results indicate each market is unbiased in the long run, although cattle, hogs and corn futures markets exhibit short-run inefficiencies and pricing biases. Models for cattle and corn outperform futures prices in out-of-sample forecasting. Results also suggest short-run time-varying risk premiums in cattle and hog futures markets.