To study the characteristics-sorted factor model in asset pricing, we develop a bottom-up approach with state-of-the-art deep learning optimization. With an economic objective to minimize pricing errors, we train a non-reduced-form neural network using firm characteristics [inputs], and generate...

COVID-19-related school closures are pushing countries off track from achieving their learning goals. This paper builds on the concept of learning poverty and draws on axiomatic properties from social choice literature to propose and motivate a distribution-sensitive measures of learning...

Outcome measures of learning of graduate students have been an important quest of learning and teaching specialists. However, most of the literature reflects the common practice of teacher driven setting and assessment of student learning outcomes. This paper explains how Goal Attainment Scaling...