This study examines the time-varying effects of uncertainty shocks on the broadbased movement of commodity returns since the early 1990s. We employ a vector autoregression (VAR) augmented dynamic factor model with time-varying parameters and stochastic volatility (TVP-VAR-DFM-SV) to extract a...

In the probabilistic risk aversion approach, risks are presumed as random variables with known probability distributions. However, in some practical cases, for example, due to the absence of historical data, the inherent uncertain characteristic of risks or different subject judgements from the...