Networks contain complex patterns of dependency and require multiple levels of analysis to explain their formation, structure, and outcomes. In this Element, the authors develop the Multilevel Network Framework. The framework serves as (i) a conceptual tool to think more deeply about network...

We consider the estimation and inference in a system of high-dimensional regression equations allowing for temporal and cross-sectional dependency in covariates and error processes, covering rather general forms of weak dependence. A sequence of large-scale regressions with LASSO is applied to...

We propose a bivariate component GARCH-MIDAS model to estimate the long- and short-run components of the variances and covariances. The advantage of our model to the existing DCC-based models is that it uses the same form for both the variances and covariances and that it estimates these moments...

If opportunistic acquirers can buy targets using overvalued shares, then there is an inefficiency in the merger and acquisition (M&A) market: The most overvalued rather than the highest-synergy bidder may buy the target. We quantify this inefficiency using a structural estimation approach. We...

Do informed shareholders who can influence corporate decisions improve governance? We demonstrate this may not be generally true in a model of takeovers. The model suggests that a shareholder's ability to collect information and trade ex post may cause him, ex ante, to support value-destroying...

This paper provides the first thorough investigation of the negative weights that can emerge when combining forecasts. The usual practice in the literature is to ignore or trim negative weights, i.e., set them to zero. This default strategy has its merits, but it is not optimal. We study the...

How and to what extent do managerial control benefits shape the efficiency of the takeover market? We revisit this question by estimating both the dark and bright sides of managerial control benefits in an industry equilibrium model. On the dark side, managers' private benefits of control...