STEADY fills this gap by developing new tensor models that account for the typical non-linear and dynamic features of economic data. STEADY concentrates on two main contributions: developing a general class of dynamic time-series models (tensor score-driven time-varying parameter models), and developing new tensor-based compression techniques for many economic time series (tensor dynamic factor models). The models developed will also be applicable in related fields. Both
contributions of STEADY are applied to policy relevant questions for central banks and financial regulators, including forecasting multi-country, multi-market interest rate term structures for the evaluation of monetary policy effectiveness, and nowcasting multi-country economic activity in the heterogeneous European context. This is done by a close cooperation between the principal researcher, experts at VUA (host), and the European Central Bank (ECB). A secondment to ECB is
key to the project, such that methodology, application, and implementation can be developed as a joint, cross-disciplinary effort between university and policymakers.
