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Full-Text Articles in Finance and Financial Management
A Comparison Of Machine Learning Algorithms For Prediction Of Past Due Service In Commercial Credit, Liyuan Liu M.A, M.S., Jennifer Lewis Priestley Ph.D.
A Comparison Of Machine Learning Algorithms For Prediction Of Past Due Service In Commercial Credit, Liyuan Liu M.A, M.S., Jennifer Lewis Priestley Ph.D.
Jennifer L. Priestley
Credit risk modeling has carried a variety of research interest in previous literature, and recent studies have shown that machine learning methods achieved better performance than conventional statistical ones. This study applies decision tree which is a robust advanced credit risk model to predict the commercial non-financial past-due problem with better critical power and accuracy. In addition, we examine the performance with logistic regression analysis, decision trees, and neural networks. The experimenting results confirm that decision trees improve upon other methods. Also, we find some interesting factors that impact the commercials’ non-financial past-due payment.
Imports, Unionizationandracial Age Discrimination In The Us, Jacqueline Agesa, Richard U. Agesa
Imports, Unionizationandracial Age Discrimination In The Us, Jacqueline Agesa, Richard U. Agesa
Jacqueline Agesa
Past studies of the relationship between competition and racial wages find that domestic competition reduces racial wage discrimination of nonunion workers. This article examines the effects of foreign competition on racial wages of union and nonunion workers utilizing an empirical model which allows for cluster-adjusted SEs by industry. Such a procedure allows independence of observations across industries but not within industries, thereby not overstating the significance of industry invariant controls. In this analysis, clustered SEs prevent the overstatement of the significance of imports as a means to reduce earnings discrimination. We find evidence of a wage premium for nonunion white …
Imports, Unionizationandracial Age Discrimination In The Us, Jacqueline Agesa, Richard U. Agesa
Imports, Unionizationandracial Age Discrimination In The Us, Jacqueline Agesa, Richard U. Agesa
Richard Agesa
Past studies of the relationship between competition and racial wages find that domestic competition reduces racial wage discrimination of nonunion workers. This article examines the effects of foreign competition on racial wages of union and nonunion workers utilizing an empirical model which allows for cluster-adjusted SEs by industry. Such a procedure allows independence of observations across industries but not within industries, thereby not overstating the significance of industry invariant controls. In this analysis, clustered SEs prevent the overstatement of the significance of imports as a means to reduce earnings discrimination. We find evidence of a wage premium for nonunion white …
Foreign Bank Efficiency In Australia: What Makes A Difference?, Jan-Egbert Sturm, Barry Williams
Foreign Bank Efficiency In Australia: What Makes A Difference?, Jan-Egbert Sturm, Barry Williams
Barry Williams
Purpose – The purpose of this paper is to explore the factors that affect differences in measured efficiency of foreign-owned banks operating in Australia. The relevance of both comparative advantage theory and new trade theory to multinational banking in Australia will be tested.
Design/methodology/approach – A three stage research method is employed. First, estimates of foreign bank efficiency are drawn from a larger sample of domestic and foreign banks in Australia. Efficiency is estimated using parametric distance functions, applying several different specifications of inputs and outputs. Second, factor analysis is used to estimate a series of common factors drawn from …
The Risk Components Of Liquidity, Lorán Chollete, Randi Naes, Johannes Skjeltorp
The Risk Components Of Liquidity, Lorán Chollete, Randi Naes, Johannes Skjeltorp
Lorán Chollete
No abstract provided.
Model Development Techniques And Evaluation Methods For Prediction And Classification Of Consumer Risk In The Credit Industry, Jennifer Priestley, Satish Nargundkar
Model Development Techniques And Evaluation Methods For Prediction And Classification Of Consumer Risk In The Credit Industry, Jennifer Priestley, Satish Nargundkar
Jennifer L. Priestley
In this chapter, we examine and compare the most prevalent modeling techniques in the credit industry, Linear Discriminant Analysis, Logistic Analysis and the emerging technique of Neural Network modeling. K-S Tests and Classification Rates are typically used in the industry to measure the success in predictive classification. We examine those two methods and a third, ROC Curves, to determine if the method of evaluation has an influence on the perceived performance of the modeling technique. We found that each modeling technique has its own strengths, and a determination of the “best” depends upon the evaluation method utilized and the costs …