The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On the other hand, robust Bayesian dynamic models (RBDMs) do not assume a regular pattern or stability of the underlying system but can include points of statement breaks. In...

Purpose The purpose of this paper is to investigate the relationship between single-state municipal bond fund risk and water scarcity in the USA. Design/methodology/approach The authors compare the risk profiles of funds from states with limited water resources with those from states without...

The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On the other hand, robust Bayesian dynamic models (RBDMs) do not assume a regular pattern or stability of the underlying system but can include points of statement breaks. In...