Motivated by a novel empirical finding that variance risk premium (VRP) predicts trading volume, we analyze an asset pricing model where agents are initially uncertain about their subjective models for interpreting public news announcements. Such a setting is micro-founded by ambivalence in...

This paper studies the dynamic interaction between the net positions of traders and risk premiums in commodity futures markets. Short-term position changes are mainly driven by the liquidity demands of non-commercial traders, while long-term variation is primarily driven by the hedging demands...

This paper develops a dynamic model of prices and trades in a risky security and an option, where agents use different subjective likelihood functions to interpret a public signal, but they are initially uncertain about the signal precision or mean. Our model can explain the seemingly overpriced...

This paper studies the dynamic interaction between the net positions of traders and risk premiums in commodity futures markets. Short-term position changes are mainly driven by the liquidity demands of non-commercial traders, while long-term variation is primarily driven by the hedging demands...

An affine no-arbitrage asset pricing framework is developed that allows for agents to have rational but heterogeneous expectations. The framework can match both bond yields and the observed dispersion of yield expectations in survey data. heterogeneous information introduces a speculative...

This paper shows that the risk-bearing capacity of U.S. securities brokers and dealers is a strong determinant of risk premia in commodity markets. Commodity derivatives are the principal instrument used by producers and consumers of commodities to hedge against commodity price risk....

Using the model-independent approaches of Trolle and Schwartz (2008) and Kozhan et al (2013), we estimate the Variance Risk Premium and Skew Risk Premium for oil market. After estimation, the contribution of the paper is twofold. First, we try to figure out which variables can describe the...