We show that the PIN and the Duarte and Young (2009) (APIN) models do not match the variability of noise trade in the data and that this limitation has severe implications for how these models identify private information. We examine two alternatives to these models, the Generalized PIN model (GPIN) and the Odders-White and Ready (2008) model (OWR). Our tests indicate that measures of private information based on the OWR and GPIN models are promising alternatives to the APIN’s Adj.PIN and PIN.

This paper considers the impact of Regulation Fair Disclosure (FD) on firms’ information environments and costs of capital. For NYSE/Amex firms we find little evidence of a change in the cost of capital attributable to Regulation FD. For Nasdaq firms we find that Regulation FD increased firms’ costs of capital by 10–19 basis points per annum though the statistical significance of this change is modest for some of our models. We also show substantial cross-sectional variation in the cost of capital changes. We find that cost of capital changes were negatively related to both pre-regulation firm size and PIN. In addition to the findings regarding Regulation FD, this research contributes to a growing literature that documents links between firms’ information environments and their costs of capital.