Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe
As the number of zombie firms has increased globally, investors need to be able to identify these companies since its meet all the terminology of firms that indicated they have a high risk of bankruptcy. With the availability of other default risk models that are already commonly used, the use of zo...
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Universiti Teknologi MARA, Selangor
2022
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my.uitm.ir.747642023-05-08T04:14:30Z https://ir.uitm.edu.my/id/eprint/74764/ Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe abrij Hiphanna, Rika Dalimunthe, Zuliani Financial management. Business finance. Corporation finance Investment, capital formation, speculation As the number of zombie firms has increased globally, investors need to be able to identify these companies since its meet all the terminology of firms that indicated they have a high risk of bankruptcy. With the availability of other default risk models that are already commonly used, the use of zombie firm model identification has not yet been widely implemented as an alternative. This paper analyses whether zombie firm model can give a consistent result compare other existing models to predict default risk such as Altman Z-Score or Merton Naïve Distance to Default Models, by using financial data and daily closing trading price of companies that exist and still traded in Indonesian Stock Exchange for period 2011 – 2020 except for financial sector. For final analysis, we do Wilcoxon Rank test to find tendency of zombie firm existence over the years. Universiti Teknologi MARA, Selangor 2022-11 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/74764/1/74764.pdf Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe. (2022) Advances in Business Research International Journal <https://ir.uitm.edu.my/view/publication/Advances_in_Business_Research_International_Journal.html>, 8 (3). pp. 22-29. ISSN 2462-1838 https://myjms.mohe.gov.my/index.php/ABRIJ/ |
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Financial management. Business finance. Corporation finance Investment, capital formation, speculation Hiphanna, Rika Dalimunthe, Zuliani Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe |
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As the number of zombie firms has increased globally, investors need to be able to identify these companies since its meet all the terminology of firms that indicated they have a high risk of bankruptcy. With the availability of other default risk models that are already commonly used, the use of zombie firm model identification has not yet been widely implemented as an alternative. This paper analyses whether zombie firm model can give a consistent result compare other existing models to predict default risk such as Altman Z-Score or Merton Naïve Distance to Default Models, by using financial data and daily closing trading price of companies that exist and still traded in Indonesian Stock Exchange for period 2011 – 2020 except for financial sector. For final analysis, we do Wilcoxon Rank test to find tendency of zombie firm existence over the years. |
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Article |
author |
Hiphanna, Rika Dalimunthe, Zuliani |
author_facet |
Hiphanna, Rika Dalimunthe, Zuliani |
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Hiphanna, Rika |
title |
Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe |
title_short |
Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe |
title_full |
Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe |
title_fullStr |
Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe |
title_full_unstemmed |
Calculating corporate default risk: zombie firm model / Rika Hiphanna and Zuliani Dalimunthe |
title_sort |
calculating corporate default risk: zombie firm model / rika hiphanna and zuliani dalimunthe |
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Universiti Teknologi MARA, Selangor |
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2022 |
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https://ir.uitm.edu.my/id/eprint/74764/1/74764.pdf https://ir.uitm.edu.my/id/eprint/74764/ https://myjms.mohe.gov.my/index.php/ABRIJ/ |
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