This paper investigates the impact of manager-investor interaction quality on stock returns by utilizing an online IPO roadshow dataset and leveraging a word-embedding model. We find that such interactions are positively valued, as reflected in initial returns. The effect is particularly pronounced for firms characterized by higher levels of information asymmetry, greater investor attention, increased question uncertainty, or discussions on topics not covered in prospectus. Additionally, our research reveals that effective management communication leads to increased first-day turnover rates and thus higher returns. These heightened returns persist up to 180 days following the IPO, without displaying a significant long-term reversal associated with interaction quality. These findings underscore the meaningful impact of the quality of manager-investor interactions on firm valuation.

Bank lobbying has a bitter taste in most forums, ringing the bell of preferential treatment of big banks from governments and regulators. Using corporate loan facilities and hand-matched information on bank lobbying from 1999 to 2017, we show that lobbying banks increase their borrowers' overall performance. This positive effect is stronger for opaque and credit-constrained borrowers, when the lobbying lender possesses valuable information on the borrower, and for borrowers with strong corporate governance. Our findings are consistent with the theory positing that lobbying can provide access to valuable lender-borrower information, resulting in improved efficiency in large firms' corporate financing.

The recent advances in automation technology, robotics in particular, have sparked a heated debate over the future of labor and human society at large. The ongoing process of robotization may engender profound impacts on various segments of the labor market. Given the far-reaching implications of robots, it is thus very important to understand the scale and scope of robot use and characteristics of robot users. However, the main challenge is the limited availability of robot data at the microeconomic level (Raj and Seamans, 2018). Due to the data constraint, the bulk of the existing literature relies on cross-country industry-level data from the International Federation of Robotics (IFR). The lack of micro-level robot data makes it difficult to paint a comprehensive picture of robotization in industrial settings, and perhaps more importantly, to assess how within-industry firm level heterogeneity manifests itself in robot use and adoption.

We examine how connections to German federal parliamentarians influence firm dynamics using a novel dataset linking politicians and election candidates to the universe of firms. To identify the causal effects of political access, we exploit (i) new appointments to the company leadership team and (ii) discontinuities around the marginal seat of party election lists. Results reveal that political connections reduce firm exits and gradually increase employment growth, with heterogeneous productivity effects depending on the political mandate. Incorporating data on credit ratings, subsidies, and procurement contracts allows us to identify the mechanisms driving the effects over the politician’s career.

This paper analyzes if lenders resolve managerial agency problems in loan contracts using sweep covenants. Sweeps require a (partial) prepayment when triggered and are included in many contracts. Exploiting exogenous reductions in analyst coverage due to brokerage house mergers and closures, we find that increased borrower opacity significantly increases sweep use. The effect is strongest for borrowers with higher levels of managerial entrenchment and if lenders hold both debt and equity in the firm. Overall, our results suggest that lenders implement sweep covenants to mitigate managerial agency problems by limiting contingencies of wealth expropriation.