Do Markets Value Manager-investor Interaction Quality? Evidence from IPO Returns
Shibo Bian, Iftekhar Hasan, Xunxiao Wang, Zhipeng Yan
Review of Quantitative Finance and Accounting,
August
2024
Abstract
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.
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State Ownership and Financial Statement Comparability
William Francis, Xian Gu, Iftekhar Hasan, Joon Ho Kong
Journal of Business Finance and Accounting,
Nr. 7,
2024
Abstract
This paper investigates how state ownership affects financial reporting practices in China. Using several measures of state (government) ownership, we show that a one-standard-deviation increase in state ownership decreases financial statement comparability by 36.61%, and the impact is more pronounced when the central authority has majority control of the company. Moreover, lower earnings quality and lower levels of accounting conservatism among state-owned enterprises (SOEs) may explain the lower accounting comparability between SOEs and non-SOEs (NSOEs). Additionally, similar (different) managerial objectives converge (diverge) financial statement comparability between SOEs and NSOEs. Last, the geographical locations of firms also contribute to financial statement comparability. We employ a difference-in-differences design, changes regression and entropy balancing to mitigate potential endogeneity bias.
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Advanced Technology Adoption: Determinants and Labor Market Effects of Robot Use
Verena Plümpe
Otto-von-Guericke-Universität Magdeburg, PhD Thesis,
2024
Abstract
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.
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Financial Debt Contracting and Managerial Agency Problems
Björn Imbierowicz, Daniel Streitz
Financial Management,
Nr. 1,
2024
Abstract
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.
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Archiv
Medienecho-Archiv 2021 2020 2019 2018 2017 2016 Dezember 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
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People
People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Julian Andres Diaz Acosta…
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IWH-FDI-Mikrodatenbank
IWH-FDI-Mikrodatenbank Die IWH-FDI-Mikrodatenbank (FDI = Foreign Direct Investment) umfasst eine in der Projektlaufzeit ständig aktualisierte Grundgesamtheit von…
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Seed Fund
Seed Fund Projects SEED 2022/01 Environmental Macroeconomics: Modelling Regional and Sectoral Heterogeneity IWH-Projektleiter: Gregor von Schweinitz Projektpartner: Martin Quaas…
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Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
Shai B. Bernstein, Richard R. Townsend, Ting Xu
Review of Financial Studies,
Nr. 3,
2024
Abstract
Using proprietary data from AngelList Talent, we study how startup job seekers’ search and application behavior changed during the COVID-19 downturn. We find that workers shifted their searches and applications away from less-established startups and toward more-established ones, even within the same individual over time. At the firm level, this shift was not offset by an influx of new job seekers. Less-established startups experienced a relative decline in the quantity and quality of applications, ultimately affecting their hiring. Our findings uncover a flight-to-safety channel in the labor market that may amplify the procyclical nature of entrepreneurial activities.
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CompNet Database
The CompNet Competitiveness Database The Competitiveness Research Network (CompNet) is a forum for high level research and policy analysis in the areas of competitiveness and…
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