A predictor is asked to rank eventualities according to their plausibility, based on past cases. We assume that she can form a ranking given any memory that consists of finitely many past cases. Mild consistency requirements on these rankings imply that they have a numerical representation via a...

In this paper we model Value-at-Risk (VaR) for daily stock index returns using a collection of parametric models of the ARCH family based on the skewed Student distribution. We show that models that rely on a symmetric density distribution for the error term underperform with respect to skewed...

This paper analyzes the rationality of Japanese macroeconomic forecasters. It finds that Japanese individual forecasters are pessimistic in boom and optimistic in recession, and that they over-react to new information. Across forecasters, the magnitude of average forecast revisions is not...

This paper analyzes the rationality of Japanese macroeconomic forecasters. It finds that Japanese individual forecasters are pessimistic in boom and optimistic in recession, and that they over-react to new information. Across forecasters, the magnitude of average forecast revisions is not...