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Information Journal Paper

Title

CREDIT RATING OF MANUFACTURING CORPORATIONS IN TEHRAN STOCK EXCHANGE WITH MULTI-CRITERIA DECISION-MAKINGANDARTIFICIAL NEURAL NETWORK MODELS

Pages

  73-84

Abstract

 This paper is investigated the credit rating of manufacturing firms in Tehran Stock Exchange. In this regard, have been extracted FINANCIAL RATIOS of public stock companies during the three years from the financial statements. This FINANCIAL RATIOS indicates the ability to pay principal and interest of loan. Initially, 50 companies were selected and ranked by the TOPSIS method. FINANCIAL RATIOS are as a criterion and weight of the each criterion are determined by using Shannon entropy method. Then the ranking, companies are classified into four categories. The ARTIFICIAL NEURAL NETWORK is trained to classify and after training the neural network are tested. Statistical results show robust classification of neural network. Then all the companies included in this study are classified by neural network.

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    Cite

    APA: Copy

    AMIRI, MAGHSOUD, BAKYHOSKOIE, MORTEZA, & BIGLARI KAMI, MEHDI. (2013). CREDIT RATING OF MANUFACTURING CORPORATIONS IN TEHRAN STOCK EXCHANGE WITH MULTI-CRITERIA DECISION-MAKINGANDARTIFICIAL NEURAL NETWORK MODELS. INVESTMENT KNOWLEDGE, 2(7), 73-84. SID. https://sid.ir/paper/188086/en

    Vancouver: Copy

    AMIRI MAGHSOUD, BAKYHOSKOIE MORTEZA, BIGLARI KAMI MEHDI. CREDIT RATING OF MANUFACTURING CORPORATIONS IN TEHRAN STOCK EXCHANGE WITH MULTI-CRITERIA DECISION-MAKINGANDARTIFICIAL NEURAL NETWORK MODELS. INVESTMENT KNOWLEDGE[Internet]. 2013;2(7):73-84. Available from: https://sid.ir/paper/188086/en

    IEEE: Copy

    MAGHSOUD AMIRI, MORTEZA BAKYHOSKOIE, and MEHDI BIGLARI KAMI, “CREDIT RATING OF MANUFACTURING CORPORATIONS IN TEHRAN STOCK EXCHANGE WITH MULTI-CRITERIA DECISION-MAKINGANDARTIFICIAL NEURAL NETWORK MODELS,” INVESTMENT KNOWLEDGE, vol. 2, no. 7, pp. 73–84, 2013, [Online]. Available: https://sid.ir/paper/188086/en

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