This chapter provides a review of various AADT estimation methods available in the literature and presents relevant findings, strengths, and weaknesses, as well as an assessment of the methods based ...

Exploratory Factor Analysis (EFA) is a pivotal statistical approach that enables researchers to uncover latent structures in complex datasets, a process that is increasingly integral to higher ...

Market participants seeking to target the systematic equity risk premia associated with single factors should understand that historical performances for each factor have been cyclical and have ...

This chapter describes methods that have been used by many agencies for a long period of time to create temporal factor groups and assign counts to them based on easily identifiable characteristics.