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We analyze the implications of the governance structure in academic faculties for their recruitment decisions when competing for new researchers. The value to individual members through social interaction within the faculty depends on the average status of their fellow members. In recruitment decisions, incumbent members trade off the effect of entry on average faculty status against alternative uses of the recruitment budget if no entry takes place. We show that the best candidates join the best faculties but that they receive lower wages than some lesser ranking candidates. We also study the allocation of surplus created by the entry of a new faculty member and show that faculties with symmetric status distributions maximize their joint surplus under majority voting.
Broad, long-term financial and economic datasets are a scarce resource, in particular in the European context. In this paper, we present an approach for an extensible, i.e. adaptable to future changes in technologies and sources, data model that may constitute a basis for digitized and structured long- term, historical datasets. The data model covers specific peculiarities of historical financial and economic data and is flexible enough to reach out for data of different types (quantitative as well as qualitative) from different historical sources, hence achieving extensibility. Furthermore, based on historical German company and stock market data, we discuss a relational implementation of this approach.
Sondierungsstudie im Auftrag des Bundesministeriums für Bildung und Forschung: Die jüngste Finanzkrise und die darauf folgende Staatsschuldenkrise hat sowohl wirtschaftlich als auch gesellschaftlich tiefgreifende Spuren hinterlassen. Dabei wurden auch sehr deutliche Lücken in der Forschung offenbar. Ziel dieser Studie ist es, aufbauend auf dem aktuellen Forschungsstand weiteren Forschungsbedarf in den wesentlich mit Finanzkrisen verbundenen Bereichen aufzuzeigen. Es werden fünf Forschungsbereiche mit jeweiligen Unterthemen vorgeschlagen. Diese fünf Forschungsbereiche gehen unmittelbar aus der Struktur und den Mechanismen der Finanz- und Staatsschuldenkrise hervor. Dabei wird besonderes Augenmerk auf die wirtschafts- und regulierungspolitische Relevanz der Themen sowie dem Umstand getragen, dass die Beantwortung vieler der Fragen interdisziplinäre Zusammenarbeit erfordert.
Finanzkrisen sind inherent mit dem Bankenmodell verbunden. Aufgrund von Verbindungen der Banken untereinander können Probleme einzelner Institute auf andere Institute übertragen werden. Diese systemischen Risiken können das gesamte Finanzsystem destabilisieren. Das Finanzsystem nimmt durch die Kreditvergabe und Bereitstellung von Transaktionssystemen eine herausragende Stellung in einer Volkswirtschaft ein, wodurch stabilisierende Eingriffe der Politik notwendig werden können. Eingriffe zur Wiederherstellung von Stabilität können sehr kostspielig sein und, wie aktuell eindrucksvoll belegt, die stabilisierenden Staaten selbst destabilisieren. Die alternativen Eingriffe vorab betreffen neben der Geldpolitik vor allem regulatorische Eingriffe. Im besonderen sind die Corporate Governance von Finanzinstituten und die Informationsbereitstellung bzw. Transparenz innerhalb des Finanzsektors von Bedeutung. In den vergangen Jahren wuchs vor dem Hintergrund von Regulierung zudem ein paralleles Schattenbankensystems heran, das in seiner Bedeutung dem traditionellen Bankensystem nur unwesentlich nachsteht.
Zwar sind die groben Zusammenhänge und Auswirkungen in den einzelnen Bereichen bekannt, jedoch ist für ein tiefgreifendes Verständnis als Grundlage zur Vermeidung bzw. Eindämmung zukünftiger Krisen sowie zur Folgenabschätzung von Regulierung weitere Forschung unabdingbar.
This paper aims to analyze the impact of different types of venture capitalists on the performance of their portfolio firms around and after the IPO. We thereby investigate the hypothesis that different governance structures, objectives and track record of different types of VCs have a significant impact on their respective IPOs. We explore this hypothesis by using a data set embracing all IPOs which occurred on Germany's Neuer Markt. Our main finding is that significant differences among the different VCs exist. Firms backed by independent VCs perform significantly better two years after the IPO compared to all other IPOs and their share prices fluctuate less than those of their counterparts in this period of time. Obviously, independent VCs, which concentrated mainly on growth stocks (low book-to-market ratio) and large firms (high market value), were able to add value by leading to less post-IPO idiosyncratic risk and more return (after controlling for all other effects). On the contrary, firms backed by public VCs (being small and having a high book-to-market ratio) showed relative underperformance. Klassifikation: G10, G14, G24 . 29th January 2004 .
This paper sets out to analyze the influence of different types of venture capitalists on the performance of their portfolio firms around and after IPO. We investigate the hypothesis that different governance structures, objectives, and track records of different types of VCs have a significant impact on their respective IPOs. We explore this hypothesis using a data set embracing all IPOs that have occurred on Germany's Neuer Markt. Our main finding is that significant differences among the different VCs exist. Firms backed by independent VCs perform significantly better two years after IPO as compared to all other IPOs, and their share prices fluctuate less than those of their counterparts in this period of time. On the contrary, firms backed by public VCs show relative underperformance. The fact that this could occur implies that market participants did not correctly assess the role played by different types of VCs.
We analyze the impact of decreases in available lending resources on quantitative and qualita- tive dimensions of firms’ patenting activities. We thereby make use of the European Banking Authority?s capital exercise to carve out the causal effect of bank lending on firm innovation. In order to do so we combine various datasets to derive information on firms’ financials, their patenting behaviors, as well as their relationships with their lenders. Building on this self- generated dataset, we provide support for the “less finance, less innovation” view. At the same time, we show that lower available financial resources for firms lead to improvement in the qualitative dimensions of their patents. Hence, we carve out a “less finance, less but better innovation” pattern.
Private equity fund managers are typically required to invest their own money alongside the fund. We examine how this coinvestment affects the acquisition strategy of leveraged buyout funds. In a simple model, where the investment and capital structure decisions are made simultaneously, we show that a higher coinvestment induces managers to chose less risky firms and use more leverage. We test these predictions in a unique sample of private equity investments in Norway, where the fund manager's taxable wealth is publicly available. Consistent with the model, portfolio company risk decreases and leverage ratios increase with the coinvestment fraction of the manager's wealth. Moreover, funds requiring a relatively high coinvestment tend to spread its capital over a larger number of portfolio firms, consistent with a more conservative investment policy.
Comparative proteomics reveals a diagnostic signature for pulmonary head‐and‐neck cancer metastasis
(2018)
Patients with head‐and‐neck cancer can develop both lung metastasis and primary lung cancer during the course of their disease. Despite the clinical importance of discrimination, reliable diagnostic biomarkers are still lacking. Here, we have characterised a cohort of squamous cell lung (SQCLC) and head‐and‐neck (HNSCC) carcinomas by quantitative proteomics. In a training cohort, we quantified 4,957 proteins in 44 SQCLC and 30 HNSCC tumours. A total of 518 proteins were found to be differentially expressed between SQCLC and HNSCC, and some of these were identified as genetic dependencies in either of the two tumour types. Using supervised machine learning, we inferred a proteomic signature for the classification of squamous cell carcinomas as either SQCLC or HNSCC, with diagnostic accuracies of 90.5% and 86.8% in cross‐ and independent validations, respectively. Furthermore, application of this signature to a cohort of pulmonary squamous cell carcinomas of unknown origin leads to a significant prognostic separation. This study not only provides a diagnostic proteomic signature for classification of secondary lung tumours in HNSCC patients, but also represents a proteomic resource for HNSCC and SQCLC.
We highlight the implications of combining underwriting services and lending for the choice of underwriters and for competition in the underwriting business. We show that cross-selling can increase underwriters’ incentives, and we explain three phenomena: first, that cross-selling is important for universal banks to enter the investment banking business; second, that cross-selling is particularly attractive for highly leveraged borrowers; third, that less-than-market rates are no prerequisite for cross-selling to benefit a bank’s clients. In our model, cross-selling reduces rents in the underwriting business.