148 resultados para creditors
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This article examines the determinants of concentration of creditors. The empirical evidence drawn from this article supports the proposition of Bolton and Scharfstein (1996) that for negotiation reasons, high-quality borrowers tend to borrow from multiple sources and is contrary to the theoretical prediction of Bris and Welch (2005). This finding implies the existence of hold-up problems in financing small businesses where information conveyance is difficult between lenders. It is further supported by the evidence that dispersed bank relationships are associated with relationships of a longer history and a closer physical distance to lenders.
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As it is known, there is no rule satisfying additivity in the complete domain of bankruptcy problems. This paper proposes a notion of partial additivity in this context, to be called μ-additivity. We find out that this property, together with two quite compelling axioms, equal treatment of equals and continuity, identify the minimal overlap rule, introduced by O’Neill (Math. Soc. Sci. 2:345–371, 1982).
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Mode of access: Internet.
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"issued 7/83."
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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This dissertation assesses the impact of the EU Directive on Bank Recovery and Resolution (BRRD) on bank corporate governance and investigates a fundamental question. Can the resolution framework for distressed banks enhance the quality of banks’ decision making? According to the Directive, the Resolution Authority can impose losses on bank’s creditors in case of distress through a bail-in. Bail-inable creditors become residual claimants of the bank, contingent on its distress. The first part of the dissertation establishes an analytical framework for bank governance, starting from the problem of what can be defined as “good governance” in banking. The dissertation hypothesizes that governance regulation represents a necessary link between the incentives of corporate constituencies and the goals of substantive regulation. The second part builds upon this analytical framework and carries out a positive analysis encompassing three channels of debt governance; namely, price internalisation of risk; contractual arrangements and the discrete impact of different type of creditors. The existence of a resolution framework should incentivise bail-inable creditors to better discipline the borrowing bank; yet, the design of both the capital and resolution regulation largely foreclose such possibility to creditors. Against this backdrop, the third part of the dissertation moves to normative considerations. The approach to this normative part combines and complements the study of cash flow rights of the management with the study of the voting rights to bail-inable creditors. On the cash flow side, the dissertation proposes to include bail-inable debt as part of the variable remuneration for bank risk-takers. On the voting right, the proposal is to grant a limited basket of ex-ante governance rights to bail-inable creditors. Such a unified approach is rather uncommon in the literature, where cash flow rights and voting rights are often approached separately whereas those complement each other in the dissertation.
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A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.
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In face of the current economic and financial environment, predicting corporate bankruptcy is arguably a phenomenon of increasing interest to investors, creditors, borrowing firms, and governments alike. Within the strand of literature focused on bankruptcy forecasting we can find diverse types of research employing a wide variety of techniques, but only a few researchers have used survival analysis for the examination of this issue. We propose a model for the prediction of corporate bankruptcy based on survival analysis, a technique which stands on its own merits. In this research, the hazard rate is the probability of ‘‘bankruptcy’’ as of time t, conditional upon having survived until time t. Many hazard models are applied in a context where the running of time naturally affects the hazard rate. The model employed in this paper uses the time of survival or the hazard risk as dependent variable, considering the unsuccessful companies as censured observations.