ANALISIS PREDIKSI POTENSI RISIKO FRAUDULENT FINANCIAL STATEMENT MELALUI FRAUD SCORE MODEL (Studi Empiris pada Perusahaan Manufaktur y ang Terdaftar di Bursa Efek Indonesia Tahun 2008-2010)

RINI, Viva Yustitia and ACHMAD , Tarmizi (2012) ANALISIS PREDIKSI POTENSI RISIKO FRAUDULENT FINANCIAL STATEMENT MELALUI FRAUD SCORE MODEL (Studi Empiris pada Perusahaan Manufaktur y ang Terdaftar di Bursa Efek Indonesia Tahun 2008-2010). Undergraduate thesis, Fakultas Ekonomika dan Bisnis.

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Abstract

This study aims to determine the level risk of fraudulent financial statements from company’s financial statements. Variables that were used to achieve the goal of research are accrual quality that proxied by RSST accrual, financial performance proxied by changing in receivable, changing in inventory, changing in cash sales and changing in earnings. Dependent variable used as detection level of risk in fraudulent financial statement is the sum of discreationary accrual and financial performance. The population of this study was manufacturing company listed on the Indonesia Stock Exchange in 2008 until 2010. Total samples were 90 manufacturing companies in three years observation. Every year the company was divided into two grups, they were 42 companies that used big four public accountant and 48 companies that used non big four public accountant. This study used descriptive statistic for analyzing data and Olab Cubes method for testing hypothesis. The result showed that the companies used non big four public accountant have greater risk level of fraudulent financial statement compared than companies that used big four public accountant.

Item Type:Thesis (Undergraduate)
Additional Information:fraud, fraudulent financial statement, big four, non big four, accrual quality, financial performance
Uncontrolled Keywords:fraud, fraudulent financial statement, big four, non big four, accrual quality, financial performance
Subjects:H Social Sciences > H Social Sciences (General)
Divisions:Faculty of Economics and Business > Department of Accounting
ID Code:35845
Deposited By:INVALID USER
Deposited On:23 Jul 2012 08:32
Last Modified:23 Jul 2012 08:32

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