Empirical studies of controlling corporate ownership typically face at least two difficulties: presumed stability of ownership that leads to low-powered tests and time-consuming hand-collection of data. We provide guidance for data collection and empirical design using simulation-based results...

Using global cross-firm ownership data, we find that both stock returns and cash-flow news of ownership-linked firms predict focal firm’s returns for all four types of ownership structures: subsidiary−parent, parent−subsidiary, subsidiary−subsidiary, and parent−parent. These results...

We study how macroeconomic, firm-level and higher-order uncertainty affects real corporate investment in firms with different levels of active and passive block ownership. Our ownership data are extracted from statutory SEC filings that block-holders are required to file indicating their active...