1,721,028 research outputs found
The opportunity cost of capital of US buyouts
Get PDFThis paper addresses the problem of accurately determining buyout opportunity cost of capital for performance analyses. It draws on a unique and proprietary set of data on 133 United States buyouts between 1984 and 2004. For each buyout, we determine a public market equivalent that matches the buyout in timing and systematic risk. We show that under realistic mimicking conditions, the average opportunity cost of capital is below the commonly used benchmark S&P 500. The surprising result has a simple explanation: ex post, many of the transactions mimicking the buyouts would have defaulted in the public market. Only under relaxed assumptions, is the average opportunity cost of capital close to the average index return. Our sensitivity analyses highlight the need for a comprehensive risk adjustment that considers both operating risk and leverage risk for an accurate assessment of buyout performance. This finding is particularly important as existing literature on this topic tends to rely on benchmarks without a proper risk adjustment.Private Equity; Risk-Adjusted Performance; Buyout; Benchmarking Alternative Assets;
Interest alignment and firm performance
Get PDFThis study derives testable hypotheses from their framework and thus provides an empirical test of interest alignment theory based on a sample of 69 management buyouts in the UK. The results of the multivariate regression model suggest that in this setting, interest alignment does have a significant influence on firm performance.competitive advantage; interest alignment; motivation; buyouts
Understanding value generation in buyouts
Get PDFIn this paper, the authors develop a three-dimensional conceptual framework for value generation in buyouts that categorizes and links the different levers of buyouts value generation. This framework provides the basis to take a look beyond individual value levers and shed light on the underlying strategic logic of buyouts.private equity; buyout; value generation
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Performance of PV modules with different technologies and the impact on energy yield in four climatic zones
No full textThis study addresses the electrical performance characteristics of different PV module technologies tested in different climate zones and the resulting energy yield. The aim of the work is to identify and quantify the factors influencing the energy yield delivery in order to reduce the uncertainty of energy yield prediction models. In particular the performance of thin-film technologies is less understood and shows higher uncertainties compared to crystalline. It is challenging to test and model PV modules due to various influencing factors related to environment conditions and solar cell physics influencing the performance. Highly precise measurement technology and sophisticated analytic methods are needed. The main focus lies on the comparison of the low irradiance behavior, temperature dependencies and spectral effects of different PV modules in different climates with regard to the specific energy yield delivery
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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