Value creation and pricing in buyouts: Empirical evidence from Europe and North America

Using a unique proprietary data set of 1980 realized and unrealized buyouts completed between 1986 and 2010, we examine entry and exit pricing in buyouts and its influence on private equity (PE) sponsors' returns. We find that besides leverage and operational improvements, EBITDA multiple expansion (i.e. the difference between entry and exit pricing) is a fundamental factor in explaining equity returns and the result of skill rather than pure luck. We also provide evidence that more experienced PE sponsors use more debt to finance a PE transaction and debt is positively related to entry buyout pricing. However, for a transaction with a given leverage level, more experienced PE sponsors are able to negotiate lower prices. In addition, our results show that deals conducted by first time funds which are realized in a later stage of a fund's life cycle are associated with lower exit prices which can be explained by the increased exit pressure for the PE sponsor.     

The risk appetite of private equity sponsors

Using a unique proprietary data set of 460 realized buyouts completed between 1990 and 2005, we examine the risk appetite of private equity (PE) sponsors in different states of the PE market and analyze key determinants of deal-level equity risk. We develop a new approach to mathematically model PE investment equity risk based on the Black-Cox default model. We find higher equity volatilities during boom periods. Further, deals conducted by more reputed PE sponsors have lower equity volatilities as they are unwilling to imperil their reputation by taking excessive risks. In addition, we find that PE sponsors' risk appetite is negatively related to the ownership stake in the buyout target company.     

Credit risk prediction using support vector machines

The main purpose of this paper is to examine the relative performance between least-squares support vector machines and logistic regression models for default classification and default probability estimation. The financial ratios from a data set of more than 78,000 financial statements from 2000 to 2006 are used as default indicators. The main focus of this paper is on the influence of small training samples and high variance of the financial input data and the classification performance measured by the area under the receiver operating characteristic. The resolution and the reliability of the predicted default probabilities are evaluated by decompositions of the Brier score. It is shown that support vector machines significantly outperform logistic regression models, particularly under the condition of small training samples and high variance of the input data.     

The multiresolution histogram

We introduce a new method for locally adaptive histogram construction that doesn’t resort to a standard distribution and is easy to implement: the multiresolution histogram. It is based on aL ₂ analysis of the mean integrated squared error with Haar wavelets and hence can be associated with a multiresolution analysis of the sample space.     

Merger Profitability and Trade Policy

We study the profitability incentives for merger and the endogenous industry structure in a strategic trade policy environment. Merger changes the strategic trade policy equlilibrium. We show that merger can be profitable and welfare enhancing, even though it would not be profitable in a laissez‐faire economy. A key element is a change in the governments’ incentives to give subsidies to their local firms. National merger induces more strategic trade policy, whereas international merger does not.     

The social dynamics of expectations: The interaction of collective and actor-specific expectations on electronic commerce and interactive television

The article investigates three mechanisms by which expectation dynamics affect innovation processes. Empirically, it focuses on hype-disappointment cycles in electronic commerce and interactive television, drawing on results from qualitative case studies and secondary analysis. First, two specific ways by which collective, i.e. widely shared, expectations motivate and guide innovation actors are presented. These mechanisms serve as an explanation for the fact that often an impressively large number of heterogeneous actors accept and contribute to high-rising expectations. With reference to a third mechanism, it is shown that results of technological projects are subject to interpretative flexibility and, as such, are interpreted in the light of the same expectations they are supposed to 'validate'. Sudden changes of the consideration of certain technologies as promising or not are then explained as a result of the interaction between collective expectations and expectations and outcomes at the project level.     

Die demographische Zeitbombe an den Börsen: Das Beispiel Deutschland

Ohne Zusammenfassung     

Global networks of clusters of innovation: Accelerating the innovation process

This article presents a framework for understanding new patterns of innovation and commercialization that are most easily observed in Clusters of Innovation (COI) and in the global connections established among them. We define COI as environments that favor the creation and development of high potential entrepreneurial ventures. COI are characterized by heightened mobility of resources (principally people, capital, and information—including intellectual property); increased velocity of business development; and a culture of mobility that leads to an affinity for collaboration, development of durable relationships, and the formation of Networks of Clusters of Innovation (NCOI). These networks are distinct sets of relationships. When the connections progress to the point of mutual dependence and business integration among participating enterprises, such covalent bonds form tightly interrelated business communities, or Super-Clusters of Innovation (Super-COI). In this article, we analyze the characteristics of COI and the nature of the relationships that arise between them to form NCOI and Super-COI. Further, we present an integrated model to better understand the global innovation system.     

Adaptation,mitigation and risk-taking in climate policy

The future consequences of climate change are highly uncertain and estimates of economic damages differ widely. Governments try to cope with these risks by investing in mitigation and adaptation measures. In contrast to most of the existing literature, we explicitly model the decision of risk averse governments on mitigation and adaptation policies. We also consider the interaction of the two strategies in presence of uncertainty. Mitigation efforts of a single country trigger crowding out as other countries will reduce their mitigation efforts. This may even lead to lower mitigation on the global scale. In contrast, a unilateral commitment to large adaptation efforts benefits the single country and can reduce the global risk from climate change at the expense of other countries.