moment formula is used to derive the first four central moments in terms of the mean and variance of the underlying normal … and in terms of lower moments of the truncated distribution. Bounding and monotonicity of the moments of the truncated …

cooperation in the city, has enabled us to identify the key moments that characterize and dynamize those relationships as …. basically we found that successful management of Foreign Aid must consider the following key moments: identification of partners …

yield dynamic conditional correlations; DCC is stated rather than derived; DCC has no moments; DCC does not have testable …

moments; DCC does not have testable regularity conditions; DCC yields inconsistent two step estimators; DCC has no asymptotic …

We present a method of moments approach to pricing double barrier contracts when the underlying is modelled by a …

preferences in terms of statistical moments. An implication is, for example, that prudence implies preference for distributions … with higher skewness as defined by all odd moments. Moreover, we show that this preference is robust towards variation in … kurtosis as defined by all even moments. We thus speak of the kurtosis robustness feature of prudence. Further, we show that …