| Title: | Financial distress prediction of Iranian companies using data minig techniques |
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| Authors: | ID Moradi, Mahdi (Author)
ID Salehi, Mahdi (Author)
ID Ghorgani, Mohammad Ebrahim (Author)
ID Sadoghi Yazdi, Hadi (Author) |
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| Files: |  Organizacija_2013_Moradi_et_al._Financial_Distress_Prediction_of_Iranian_Companies_Using_Data_Mining_Techniques.pdf (1,10 MB)
MD5: 95F1E9FCD96D893D2673511583DC6A0C
PID: 20.500.12556/dkum/bde7ecec-e80d-403d-b504-917ecc6947d9
 http://www.degruyter.com/view/j/orga.2013.46.issue-1/orga-2013-0003/orga-2013-0003.xml
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FOV - Faculty of Organizational Sciences in Kranj
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| Abstract: | Decision-making problems in the area of financial status evaluation are considered very important. Making incorrect decisions in firms is very likely to cause financial crises and distress. Predicting financial distress of factories and manufacturing companies is the desire of managers and investors, auditors, financial analysts, governmental officials, employees. Therefore, the current study aims to predict financial distress of Iranian Companies. The current study applies support vector data description (SVDD) to the financial distress prediction problem in an attempt to suggest a new model with better explanatory power and stability. To serve this purpose, we use a grid-search technique using 3-fold cross-validation to find out the optimal parameter values of kernel function of SVDD. To evaluate the prediction accuracy of SVDD, we compare its performance with fuzzy c-means (FCM).The experiment results show that SVDD outperforms the other method in years before financial distress occurrence. The data used in this research were obtained from Iran Stock Market and Accounting Research Database. According to the data between 2000 and 2009, 70 pairs of companies listed in Tehran Stock Exchange are selected as initial data set. |
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| Keywords: | financial distress prediction, Support vector data description, Fuzzy c-mean |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year of publishing: | 2013 |
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| Number of pages: | str. 20-28 |
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| Numbering: | Letn. 46, št. 1 |
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| PID: | 20.500.12556/DKUM-69115  |
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| ISSN: | 1318-5454 |
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| UDC: | 005.511:658.14/.17(55) |
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| ISSN on article: | 1318-5454 |
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| COBISS.SI-ID: | 269481728 |
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| DOI: | 10.2478/orga-2013-0003 |
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| NUK URN: | URN:SI:UM:DK:UJJUSDPE |
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| Publication date in DKUM: | 30.11.2017 |
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| Views: | 1110 |
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| Downloads: | 214 |
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| Metadata: |    |
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| Categories: | Misc.
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