This paper examines how initial public offerings (IPOs) affect firms' internal organization. We find that IPO firms become more hierarchical and standardized organizations, characterized by additional layers, more managers, smaller control spans, and larger administrative functions. These changes occur mostly in preparation for the IPO and can be only partially explained by growth. IPO firms with greater human capital risk experience larger hierarchical changes. Hierarchical changes help firms standardize employee roles and formalize internal processes. Our results suggest that firms reorganize to reduce their dependence on key individuals' human capital when transitioning to public markets.

Predicting IPO first-day returns is inherently challenging due to the wide range of contributing factors, each with distinct statistical properties. We assess the performance of several machine learning (ML) techniques and identify XGBoost as the most statistically effective model for forecasting first-day returns. Using a comprehensive set of 863 pre-IPO variables, our high-performing predictive model accurately estimates both the direction and magnitude of IPO first-day returns. The most influential predictors include underwriter agency measures, price revision, and the free-float fraction. Using a rolling-window predictive approach, the model demonstrates substantial practical value, generating approximately $300 billion in gains from IPOs with positive first-day returns and avoiding more than $22 billion in losses from those with negative returns over the 2000–2016 period.

This paper examines how supplier IPO events affect their key customers’ cost of debt. The evidence reveals that average loan spreads for customers increase by roughly 20% (23.7 basis points) following suppliers’ IPO events. This negative spillover effect is more pronounced when suppliers make significant relationship-specific investments (high switching cost), when suppliers face less concentrated customer bases, or when customers face more concentrated supplier bases. Our results show that customers receive less favourable trade terms and are forced to pay more for inputs after their suppliers go public, all of which increase customers’ operational costs, risk and subsequent borrowing costs. Furthermore, we document that customer loan contracts become significantly more restrictive after a supplier's IPO. Finally, we find that the observed negative spillover effect is also present in customers’ access to the public bond market.

We study the effects of Tax Authority (IRS) attention on a firm’s financial reporting. We explore whether firms institute a higher degree of accounting conservatism in response to IRS monitoring. Using data on IRS acquisition of public firms’ 10-K financial disclosures to proxy for IRS attention, we find that when firms are under IRS attention, they tend to initiate higher levels of unconditional and, to some extent, conditional accounting conservatism. We alleviate some of the endogeneity concerns by using pre- and post-IRS attention environments between the treated group (firms with IRS attention) and a propensity score that matches the control group of firms (no IRS attention). These results withstand several robustness tests and subsample analyses.

Does information leakage in a target's social networks increase its stock price prior to a merger announcement? Evidence reveals that a target with more social connections indeed experiences a higher pre-announcement price run-up. This effect does not exist during or after the merger announcement, or in windows ending two months before the announcement. It is more pronounced among targets with severe asymmetric information, and weaker when the information about the upcoming merger is publicly available prior to the announcement. It is also weaker in expedited deals such as tender offers.