Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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Payroll and VBL
Payroll and VBL Payroll The monthly earnings statement for IWH employees is made available online via the LuGIS portal . You will receive two letters with the access data for the…
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Where to Go? High-skilled Individuals’ Regional Preferences
Sabrina Jeworrek, Matthias Brachert
IWH Discussion Papers,
No. 27,
2022
Abstract
We conduct a discrete choice experiment to investigate how the location of a firm in a rural or urban region affects job attractiveness and contributes to the spatial sorting of university students and graduates. We characterize the attractiveness of a location based on several dimensions (social life, public infrastructure, connectivity) and combine this information with an urban or rural attribution. We also vary job design as well as contractual characteristics of the job. We find that job offers from companies in rural areas are generally considered less attractive. This is true regardless of the attractiveness of the region. The negative perception is particularly pronounced among persons with urban origin and singles. These persons rate job offers from rural regions significantly worse. In contrast, high-skilled individuals who originate from rural areas as well as individuals with partners and kids have no specific preference for jobs in urban or rural areas.
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Trust, Politics and Post-IPO Performance: SOEs vs. the Private Sector
Bill Francis, Iftekhar Hasan, Xian Sun, Mingming Zhou
Economic and Political Studies,
No. 3,
2022
Abstract
This paper empirically investigates the role of social trust in the long-term performance of the initial public offerings (IPOs) in China, controlling for the formal institutional environment. We find that privately owned or smaller IPO firms experience significantly better post-IPO performance when they are incorporated in regions with more social trust. The state-owned and bigger IPO firms, on the other hand, experience better long-term post-IPO performance when they are incorporated in regions with stronger formal institutions (e.g. court enforcement and contract holding). Political pluralism turns out to benefit all IPOs in the long term. In addition, our evidence shows that stronger social trust substitutes for the quality of court enforcement but complements the role of contract holding. These results are robust after controlling for alternative definitions of ownership, outliers, non-linear effects of institutions, and the potential endogeneity of institutions in the model.
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Going Public and the Internal Organization of the Firm
Daniel Bias, Benjamin Lochner, Stefan Obernberger, Merih Sevilir
SSRN Working Paper,
May
2022
Abstract
We examine how firms adapt their organization when they go public. To conform with the requirements of public capital markets, we expect IPO firms to become more organized, making the firm more accountable and its human capital more easily replaceable. We find that IPO firms transform into a more hierarchical organization with smaller departments. Managerial oversight increases. Organizational functions dedicated to accounting, finance, information and communication, and human resources become much more prominent. Employee turnover is sizeable and directly related to changes in hierarchical layers. New hires are better educated, but younger and less experienced than incumbents, which reflects the staffing needs of a more hierarchical organization. Wage inequality increases as firms become more hierarchical. Overall, going public is associated with a comprehensive transformation of the firm's organization which becomes geared towards efficiently operating a public firm.
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On Modeling IPO Failure Risk
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Economic Modelling,
April
2022
Abstract
This paper offers a novel framework, combining firm operational risk, IPO pricing risk, and market risk, to model IPO failure risk. By analyzing nearly a thousand variables, we observe that prior IPO failure risk models have suffered from a major missing-variable problem. Evidence reveals several key new firm-level determinants, e.g., the volatility operating performance, the size of its accounts payable, pretax income to common equity, total short-term debt, and a few macroeconomic variables such as treasury bill rate, and book-to-market of the DJIA index. These findings have major economic implications. The total value loss from not predicting the imminent failure of an IPO is significantly lower with this proposed model compared to other established models. The IPO investors could have saved around $18billion over the period between 1994 and 2016 by using this model.
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Access to Public Capital Markets and Employment Growth
Alexander Borisov, Andrew Ellul, Merih Sevilir
Journal of Financial Economics,
No. 3,
2021
Abstract
This paper examines the effect of going public on firm-level employment. To establish a causal effect, we employ a novel data set of private firms to investigate employment growth in IPO firms relative to a group of firms that file for an IPO but subsequently withdraw their offering. We find that employment increases significantly after going public, and the increase is more pronounced in industries with requirements for highly skilled labor and greater dependence on external finance. Improved ability to undertake acquisitions and a strategic shift toward commercialization, rather than agency problems, explain employment growth. Overall, these results highlight the importance of going public for firms' employment policies.
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Global Equity Offerings and Access to Domestic Loan Market: U.S. Evidence
Iftekhar Hasan, Haizhi Wang, Desheng Yin, Jingqi Zhang
International Review of Financial Analysis,
March
2021
Abstract
This study examines whether and to what extend global equity offerings at the IPO stage may affect issuing firms' ability to borrow in the domestic debt market. Tracking bank loans taken by U.S. IPO firms in the domestic syndicated loan market, we observe that global equity offering firms experience more favorable loan price than that offered to their domestic counterparts. This finding holds for a set of robustness tests of endogeneity issues. We also find that, compared with their domestic counterparts, global equity offering firms are less likely to have financial distress, engage more in international diversification, and are more likely to wait a longer time to apply for syndicated loans.
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The Appropriateness of the Macroeconomic Imbalance Procedure for Central and Eastern European Countries
Geraldine Dany-Knedlik, Martina Kämpfe, Tobias Knedlik
Empirica,
No. 1,
2021
Abstract
The European Commission’s Scoreboard of Macroeconomic Imbalances is a rare case of a publicly released early warning system. It was published first time in 2012 by the European Commission as a reaction to public debt crises in Europe. So far, the Macroeconomic Imbalance Procedure takes a one-size-fits-all approach with regard to the identification of thresholds. The experience of Central and Eastern European Countries during the global financial crisis and in the resulting public debt crises has been largely different from that of other European countries. This paper looks at the appropriateness of scoreboard of the Macroeconomic Imbalances Procedure of the European Commission for this group of catching-up countries. It is shown that while some of the indicators of the scoreboard are helpful to predict crises in the region, thresholds are in most cases set too narrow since it largely disregarded the specifics of catching-up economies, in particular higher and more volatile growth rates of various macroeconomic variables.
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Why are some Chinese Firms Failing in the US Capital Markets? A Machine Learning Approach
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Pacific-Basin Finance Journal,
June
2020
Abstract
We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the process. We examine the market performance from three different angles: the underpricing (or short-term market phenomena), the post-issuance stock underperformance (or long-term market phenomena), and the regulatory delistings (IPO failure risk). Using machine learning techniques that can better handle various data problems, we improve on the predictive power of traditional estimations, such as OLS and logit. Our predictive model highlights some novel findings: failed Chinese companies have chosen unreliable U.S. intermediaries when going public, and they tend to suffer from more severe owners-related agency problems.
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