Deteksi Fraudulent Financial Reporting dengan Menggunakan Beneish Ratio Index dan Predicting Financial Stress dengan Altman Z Score (Studi Empiris pada Perusahaan yang Melakukan Penawaran Saham Perdana (IPO) di Bursa Efek Indonesia Tahun 2013-2015)
| dc.contributor.advisor | Dekar Urumsyah, S.E., S.Si., M.Com(IS)., Ph.D., CFrA. | |
| dc.contributor.author | Sinta Purnawati, 13919028 SE | |
| dc.date.accessioned | 2019-03-15T06:30:50Z | |
| dc.date.available | 2019-03-15T06:30:50Z | |
| dc.date.issued | 2019-02-19 | |
| dc.description.abstract | The topic in this study is about examines fraudulent financial statements of companies conducting an Initial Public Offering on the Indonesia Stock Exchange in 2013-2015, analyzing Financial Distress predictions. The method is using Ratio Analysis technique to the company's financial statement data which is determine as a manipulators and non-manipulators company, and the measurement tool is using the Beneish Model. In predicting financial distress is using Altman Z Score analysis techniques. The sampling technique was purposive sampling and obtained a sample of 31 of the 37 companies listed on the IDX and conducted IPOs in 2012-2015. The results of the study showed that 58% of the companies belonged to manipulators and 42% of the companies belonged to non-manipulators, besides that there were 77.42% in financially safe conditions, 19.35% special attention, and 3.23% experiencing bankruptcy. | en_US |
| dc.identifier.uri | https://repository.uii.ac.id/handle/123456789/14097 | |
| dc.publisher | Universitas Islam Indonesia | en_US |
| dc.subject | Fraudulent Financial Reporting | en_US |
| dc.subject | Beneish M-Score | en_US |
| dc.subject | Altman Z-Score | en_US |
| dc.subject | Financial Distress | en_US |
| dc.title | Deteksi Fraudulent Financial Reporting dengan Menggunakan Beneish Ratio Index dan Predicting Financial Stress dengan Altman Z Score (Studi Empiris pada Perusahaan yang Melakukan Penawaran Saham Perdana (IPO) di Bursa Efek Indonesia Tahun 2013-2015) | en_US |
| dc.type | Master Thesis | en_US |
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