با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.
A comparative analysis of two-stage distress prediction models
تجزیه و تحلیل مقایسه ای از مدل های پیش بینی پریشانی دو مرحله ای-2019
On feature selection, as one of the critical steps to develop a distress prediction model (DPM), a variety of expert systems and machine learning approaches have analytically supported developers. Data envel- opment analysis (DEA) has provided this support by estimating the novel feature of managerial efficiency, which has frequently been used in recent two-stage DPMs. As key contributions, this study extends the application of expert system in credit scoring and distress prediction through applying diverse DEA mod- els to compute corporate market efficiency in addition to the prevailing managerial efficiency, and to estimate the decomposed measure of mix efficiency and investigate its contribution compared to Pure Technical Efficiency and Scale Efficiency in the performance of DPMs. Further, this paper provides a com- prehensive comparison between two-stage DPMs through estimating a variety of DEA efficiency measures in the first stage and employing static and dynamic classifiers in the second stage. Based on experimen- tal results, guidelines are provided to help practitioners develop two-stage DPMs; to be more specific, guidelines are provided to assist with the choice of the proper DEA models to use in the first stage, and the choice of the best corporate efficiency measures and classifiers to use in the second stage.
Keywords: Corporate two-stage distress prediction | Efficiency | Data envelopment analysis | Malmquist index
Efficiency, productivity gains, and the size of Brazilian supermarkets
کارآمدی، دستیابی ها به بهره وری و اندازه سوپرمارکت های برزیلی-2018
The supermarket sector is an important segment of the Brazilian economy. In recent years, the role of large retailers and market globalization has transformed this sector in one of the most competitive in the country. This paper aims to evaluate the technical efficiency and scale of the Brazilian supermarket sector through Bootstrap Data Envelopment Analysis, and to measure changes in productivity from 2005 to 2012, applying the Bootstrapped Malmquist index. A second stage analysis is performed to explain efficiency levels and productivity gains in terms of supermarket chains characteristics. We found that the Brazilian supermarket chains have low average efficiency levels and, in general, there was an increase in productivity in the period. The consolidations that took place in this sector can be explained in terms of scales of operation. Small supermarket chains had lower efficiency levels both in 2005 and 2012, but experienced higher levels of productivity growth in the period. Results of second stage analysis shows that some supermarket chains characteristics are correlated to productivity gains.
keywords: Brazilian supermarket chains |Bootstrap Data Envelopment Analysis |Bootstrapped Malmquist index