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Scoring the financial distress and the financial statement fraud of Garuda Indonesia with «DDCC» as the financial solutions

Journal of modelling in management, 2023-01, Vol.18 (1), p.1-16 [Peer Reviewed Journal]

Emerald Publishing Limited ;Emerald Publishing Limited. ;ISSN: 1746-5664 ;EISSN: 1746-5664 ;EISSN: 1746-5672 ;DOI: 10.1108/JM2-01-2020-0017

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  • Title:
    Scoring the financial distress and the financial statement fraud of Garuda Indonesia with «DDCC» as the financial solutions
  • Author: Aviantara, Ryan
  • Subjects: Administrative expenses ; Airlines ; Annual reports ; Aviation ; Bankruptcy ; Cash flow ; Corporate profits ; Financial analysis ; Financial performance ; Financial statement analysis ; Fraud ; Performance evaluation ; Standard scores ; Stockholders
  • Is Part Of: Journal of modelling in management, 2023-01, Vol.18 (1), p.1-16
  • Description: Purpose PT Garuda Indonesia (GIAA) Persero Tbk is the one only pride airline of Indonesian sovereignty. Although the bird achieved abundant international awards and certifications, the bird is dying and needs a remedy immediately. The frequent annual turnover of board executives did not make impact to the financial performance; this seems to be tip of the iceberg, peculiar with the number of restatement over the past decade. Therefore, this paper aims to address the issue through the function of five red flags model which known as Altman Z-score, Sprigate S-score, Grover G-score, Beneish M-score and Dechow F-score. Design/methodology/approach This is exploratory study of univariate analysis using financial distress and fraudulent financial statement approach, while the type of data is secondary taken from Indonesia Stock Exchange during 12 years observation from 2007 to 2018. Findings Altman, Springate and Grover produce strong indication of GIAA’s financial distress; all models score the same distress indication by 14 times. All distress models agreed that only 2011 and 2012 classify to the safe zone when GIAA performed the corporate actions. Beneish scores fraud indication by eight times. Dechow scores slightly higher by nine times. The number of fraud predictions in this research are in line with the number of restatement, which proves the assumption that restatement can be used as a signal of the financial statement fraud. When GIAA categorized in safe zone, both Beneish and Dechow score no to fraud, this indicates the fraud occurence during health period is lower. Research limitations/implications The motivation behind the financial statement fraud is not discuss through this research but from the primary theory of the fraud triangle. Financial distress possesses strong relationship with pressure factor; therefore, exit from financial crisis is one of the best solution to mitigate the financial statement fraud. Practical implications The average of Beneish score is −2,26, slightly above the manipulator threshold which is −2,22. This must be marked as an ample conjecture of GIAA’s fraud inclination and been a highlight for the auditor both internal and external when performing control testing, attestation and other assurance services. Social implications All models in this study can apply to any other corporate issues, especially for evaluating the government company who has loosen the public trust recently in Indonesia such as PT Asuransi Jiwasraya and PT Asabri. Moreover, the pandemic COVID-19 has brought the world to the new unprecedented risk, especially the economic turmoil which lead the possibilities of corporate distress and fraud. By applying these scores, public might have tools as pre-elemenary assessment to serve a decision where to put trust in a company. Originality/value This paper reveals a combination from various models of financial distress and financial statement fraud in order to generate the financial solutions named « DDCC » Debt Restructuring, Debt Conversion, Capex Management and Cost Cutting.
  • Publisher: Bradford: Emerald Publishing Limited
  • Language: English
  • Identifier: ISSN: 1746-5664
    EISSN: 1746-5664
    EISSN: 1746-5672
    DOI: 10.1108/JM2-01-2020-0017
  • Source: ProQuest Central

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