Subiyono, Alifia Kurniawati and Suardi, Imelda (2017) The Effect of Fraud Detection Using MSCORE on Expected Returns in Indonesian Public Listed Companies. Bachelor thesis, Swiss German University.

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Abstract

Financial Statements Fraud has caused massive loss for nations. As the Economy grows in Indonesia, financial statement fraud has become a risk in many industries. The massive effects of Financial Statement Fraud has become new concern for accountant and auditor to find some ways detecting Financial Statement Fraud. Messod D. Beneish in his journal The Detection of Earnings Manipulation (1999) had come up with mathematical ratios that can be used to detect earning manipulation in financial statement called MSCORE. Companies with a higher MSCORE are more likely to have red flags for manipulating. Firms that commit financial fraud will also earn lower future returns. A higher probability of manipulation MSCORE) earn lower returns. MSCORE has significant ability to predict returns through its ratio components. This research has an objective to examine the companies that indicated as green flags or red flags will be affected their expected returns using CAR (Cumulative Abnormal Returns). This research focuses on manufacturing company, which is divided into 3 sectors. The result of this research was overall there is a significance relation between MSCORE and expected returns (CAR).

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Fraudulent Financial Statement; MSCORE; Beneish Ratios; Cumulative Abnirmal Returns; Expected Returns
Subjects:	H Social Sciences > HF Commerce > HF5601 Accounting
Divisions:	Faculty of Business Administration and Communication > Department of Accounting
Depositing User:	Astuti Kusumaningrum
Date Deposited:	08 May 2020 15:26
Last Modified:	08 May 2020 15:26
URI:	http://repository.sgu.ac.id/id/eprint/121

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