1,721,423 research outputs found
Universal banking and the financing of industrial development
In universal banking, large banks operate extensive networks of branches, provide many different services, hold several claims on firms (including equity and debt), and participate directly in the corporate governance of firms that rely on the banks for funding or as insurance underwriters. In this paper, the author contrasts the cost of financing industrialization in the United States and in Germany during the second industrial revolution. He explains that large production is typical of modern industrial practice, so the lessons from that period apply broadly to contemporary developing countries. The second industrial revolution involved many new products and technologies. Firms were producing new goods in new ways on an unprecedented scale. Therefore, they needed quick access to heavy financing. Finance costs for industry were lower in Germany than in the United States, because U.S.regulations prevented the universal banking from which Germany benefited. High finance costs retarded U.S. realization of its full industrial potential. The potential to expand quickly and reap economies of scale was greater in German industrialization. The cost of industrial financing began to decline when institutional changes came about that increased the concentration of financial market transactions. In recent decades, a combination of macroeconomic distress, international competitive pressure, and the creative invention of new financial intermediaries has helped the U.S. financial system overcome the regulatory mandate of financial fragmentation.Financial Intermediation,Payment Systems&Infrastructure,Banks&Banking Reform,Labor Policies,Decentralization,Banks&Banking Reform,Financial Intermediation,Economic Theory&Research,Environmental Economics&Policies,Housing Finance
The determinants and effects of Reconstruction Finance Corporation assistance to banks during the Great Depression
Restriction data tranferred 2014-07-01T11:32:19-05:00
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Group with Access UIUC Users [automated]
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Reason: ETDs are only available to UIUC Users without author permissionRegulators and academics have maintained that assisting individual problem banks on a case-by-case basis can effectively ameliorate failure risk. In order to test this assertion, I investigate the effectiveness of open-bank assistance provided by the Reconstruction Finance Corporation during the 1930s.Three reasons are presented to explain why RFC assistance may have had little or no estimable effect on bank failures: (1) The magnitude of the program was too small; (2) Politics may have interfered in the allocation of funds; (3) The structure of RFC bank assistance programs, i.e., the maturity of the financing or the security maintained, may have been inefficient. While several aggregate macroeconomic studies of the magnitude of RFC programs exist, these have, on the whole, been inconclusive. Therefore I focus my analysis on politics and the structure of RFC programs.I use state-level RFC, political, and economic data to study the effects of politics on the allocation of RFC assistance. Based on these data, I conclude that politics did not affect significantly the allocation of RFC assistance.I then use a panel of individual bank RFC and financial data to provide quantitative evidence that the effectiveness of RFC bank assistance programs varied according to the amount of default risk assumed. I find that recapitalization was the most effective open-bank assistance policy option. Strategies that assumed little default risk (such as collateralized lending) may have actually destabilized banks. Furthermore, I find no evidence to support the contemporary assertion that publicity of the names of banks receiving assistance had any negative influence on survival.The dissertation concludes with a review of the findings, and suggestions for improving upon the aggregate macroeconomic evaluations of the size of RFC bank assistance programs.Made available in DSpace on 2011-05-07T14:29:19Z (GMT). No. of bitstreams: 2
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Previous issue date: 1996Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding ([email protected]) on 2011-05-07T15:07:19Z
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Debt Overhang and Non-Distressed Debt Restructuring
In this paper, we analyse the restructuring of debt in the presence of debt overhang. The firm starts out with a debt liability and an investment opportunity. Then with unrestructured debt, the firm maintains the current borrowing payments until default or investment. If the creditors allow the parties to restructure the debt with exchange offers, then the borrowing payments change as well as the default and investment points. We find that there is a unique optimal restructuring path which maintains debt at positive levels but defers default indefinitely. This path is optimal regardless of whether the debt holders or the firm control the process through superior bargaining power. Moreover, a debt-for-equity exchange to remove all existing debt takes place just before investment that is followed by the issue of an optimal amount of new debt as part of the funding for the investment cost. The optimal investment trigger is higher along the optimal restructuring path than it is for an unlevered firm. We discuss the findings in the light of existing empirical evidence
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Variations on the Author
“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
We 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
We 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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