Vector AutoRegressive Moving Average Models: A Review.

Vector AutoRegressive Moving Average (VARMA) models form a powerful and general model class for analyzing dynamics among multiple time series. While VARMA models encompass the Vector AutoRegressive (VAR) models, their popularity in empirical applications is dominated by the latter. Can this phenomenon be explained fully by the simplicity of VAR models? Perhaps many users of VAR models have not fully appreciated what VARMA models can provide.

Room for advancement: The regulatory fit of bottom-rank intermediate feedback.

This research tests the hypothesis that promotion-focused individuals experience regulatory fit from bottom rank, intermediate performance-feedback. Prior research suggests promotion-focused individuals experience fit in high ranks (power). Bottom ranks may appear psychologically opposite to high power, which might lead one to expect that promotion-focused individuals experience fit at top ranks.