1,720,954 research outputs found
ESSAYS ON THE FINTECH LENDING MARKET
No full textThis dissertation consists of two essays on the FinTech lending market. I explore default in the FinTech lending market using a dataset of both extensive credit and soft information for borrowers from the largest FinTech lender in the United States. In the first essay, I study the default risk in this market over the business cycle. I find that both macro and regional economic conditions play a role in consumer default and should be taken into consideration when assessing credit risk. I show that lenders operating in this market increasingly focus on subprime borrowers, whose default rates are more sensitive to macro and regional economic conditions than those of prime borrowers. Based on estimates from a duration model, I provide counterfactual analyses of what default rates and the associated total losses would look like in different economic scenarios. In the case of a recession, the losses would be 37 percent higher than in the case of an expansion. For the same volume of loans in the recession, doubling the subprime share would lead to an additional 6.2 percent increase in losses. In the second essay, I provide an overview of some of the most common machine learning methods used in modeling default risk and assess to what extent these methods are better than traditional approaches. Using the same datasets as in the first essay, I explore the determinants of default in the FinTech lending market. I apply different machine learning algorithms to predict out-of-sample default. I find that some of the machine learning algorithms, such as extreme gradient boosting and artificial neural networks, marginally outperform logistic regression. Annual income, loan purpose, revolving line utilization, and interest rate are the most important variables predicting default. Macro and regional variables are listed among the top 10 variables explaining consumer default behavior.Economics, Department o
An Application of SFA and DEA in the Albanian Banking Sector
Get PDFBanking sector is the main financial sector in developing countries. Due to its significant role in the economy of the entire country, analysis should be done in order to see its performance. This thesis aims to provide information about the efficiency of the main banks operating in the Albanian banking sector during the period 2006-2014. The literature suggests two different methods to measure the efficiency of banks; a non-parametric approach (mathematical method), named DEA-data envelopment analysis and a parametric approach (econometric method) called SFA-stochastic frontier analysis. The previous studies and research done for the Albanian banking system use one of the methods mentioned above. While, this thesis uses both methods DEA and SFA and also compares the obtained results for each method in order to verify the robustness of outcomes. Using DEA method we measured the technical efficiency while, using SFA we estimated the cost and technical efficiency of the main banks. The results show low scores for cost efficiency and high score for technical efficiency. The most important factors that have a significant role in the efficiency of the Albanian banking sector are: total liabilities, deposits and assets. Moreover, Malmquist productivity index is used to measure the importance of technological change on the efficiency of banks between two periods.Epoka Universit
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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