Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India

Research Article

Data Envelopment Analysis and the implementation of their Applications in Python

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  • @INPROCEEDINGS{10.4108/eai.7-12-2021.2314630,
        author={Venugopal  R and Veeramani  C},
        title={Data Envelopment Analysis and the implementation of their Applications in Python },
        proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India},
        publisher={EAI},
        proceedings_a={ICCAP},
        year={2021},
        month={12},
        keywords={data envelopment analysis influence criteria nasdaq stock exchange},
        doi={10.4108/eai.7-12-2021.2314630}
    }
    
  • Venugopal R
    Veeramani C
    Year: 2021
    Data Envelopment Analysis and the implementation of their Applications in Python
    ICCAP
    EAI
    DOI: 10.4108/eai.7-12-2021.2314630
Venugopal R1,*, Veeramani C1
  • 1: PSG College of Technology
*Contact email: venusm80@gmail.com

Abstract

Data envelopment analysis (DEA) is highly used to rank the companies in the stock market. This study presents a DEA framework for ranking the companies in the stock market. In this regard, the data is collected from 24 companies listed in the NASDAQ stock market. Then the input and output measures are calculated from the collected data. Finally, the companies are ranked by using CCR, CCR-Aggressive, and CCR-Benvelovent DEA models based on input and output values.