There is a need to introduce a statistical method to the toolkit of the regulators that is versatile, easy-to-use and can handle complex cause-effect phenomena that are not directly observable or measurable, i.e. latent constructs. In a first application of partial least squares structural...

Evaluating creation of systemic risk is an ongoing regulatory activity and a difficult task given the dynamic linkages found in the financial system among multiple counterparties. This study evaluates the contributions to systemic risk in U.S. institutional prime money market funds (MMFs) from...

Regulators need a method that is versatile, is easy to use and can handle complex path models with latent (not directly observable) variables. In a first application of partial least squares structural equation modeling (PLS-SEM) in financial stress testing, we demonstrate how PLS-SEM can be...