Deteksi fraudulent financial reporting: suatu pendekatan menggunakan accrual based investment ratio dan cash based investment ratio

https://doi.org/10.35912/jakman.v2i2.203
Published: Mar 25, 2021

Abstract:

Purpose: This study aimed to provide empirical evidence of the influence of Accrual Based Investment Ratio and Cash-Based Investment Ratios in detecting fraudulent financial reporting

Research methodology: Fraudulent financial reporting in this study used a combined model of the cheating model (Beneish M-Score) with a bankruptcy model (Altman Z-Score). This study's sample was a non-financial company listed on the Stock Exchange during the observation period from 2010-2018. Sampling techniques with purposive sampling and obtained a total of 790 observations. Data processing was done via SPSS program version 16.0 using logistic regression.

Results: This study proves that Earnings per Share, Dividend per Share ratio, Total Share Profitability Ratio, Dividend Profitability, Asset Efficiency Ratio influence in detecting fraudulent financial reporting while Price / Earning ratio, Dividend Ratio, Operating Cash Flow Ratio, Current Liability Coverage Ratio, Long Term Debt Coverage Ratio, Interest Coverage Ratio, Cash Generating Power Ratio, External Financing Index Ratio do not affect detecting fraudulent financial reporting

Limitations: There are still inaccuracies in predicting Fraudulent Financial Reporting so that for future research, other combined models can be used in predicting Fraudulent Financial Reporting, including adding liquidity ratios, asset management ratios, debt management ratios, profitability ratios, and sufficiency ratios

Contribution: This study provides implications for the signal theory that explains the usefulness of financial statements in decision making and predictions, including using financial ratios in predicting Fraudulent Financial Reporting

Keywords: Fraudulent financial reporting, Accrual based investment ratio, Cash-based investment ratio, Beneish M-Score, Altman Z-score

Keywords:
1. Fraudulent financial reporting
2. Accrual based investment ratio
3. Cash-based investment ratio
4. Beneish M-Score
5. Altman Z-score
Authors:
1 . Devanus Abelingga
2 . Pratana Puspa Midiastuty
3 . Eddy Suranta
4 . Rini Indriani
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How to Cite
Abelingga, D. ., Midiastuty, P. P. ., Suranta, E. ., & Indriani, R. . (2021). Deteksi fraudulent financial reporting: suatu pendekatan menggunakan accrual based investment ratio dan cash based investment ratio. Jurnal Akuntansi, Keuangan, Dan Manajemen, 2(2), 115–128. https://doi.org/10.35912/jakman.v2i2.203
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Issue & Section
Vol. 2 No. 2 (2021): Maret
Articles
References

    Association of Certified Fraud Examiners. (2014). 2014 Global Fraud Study. Journal of Contemporary Physics, 49(5), 202–208. https://doi.org/10.3103/S106833721405003X

    Barua, S., & Saha, A. K. (2015). Traditional ratios vs . Cash flow based ratios : which one is better traditional ratios vs . Cash flow based ratios : which one is better performance indicator ? Economic and Business, 231–251. https://doi.org/10.13189/aeb.2015.030605

    Beasley, M. S., Carcello, J. V, Hermanson, D. R., & Lapides, P. D. (2000). Fraudulent financial reporting : consideration of industry traits and corporate governance mechanisms. Accounting Horizons, 14(4), 441–454.

    Beneish, M. D. (1999). The detection of earnings manipulation messod d . Beneish * june 1999 comments welcome. Financial Analysts Journal, 5(June), 24–36.

    Gabric, D. (2018). Determination of accounting manipulations in the financial statements using accrual based investment ratios. Journal of Economics and Business, XVI(1), 71–81.

    Hutomo, O. S., & Sudarno. (2012). Cara mendeteksi fraudulent financial reporting dengan menggunakan rasio-rasio finansial ( Studi kasus perusahaan yang terdaftar di Annual Report BAPEPAM ). 1–28.

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    Sirait, F., & Siregar, S. V. (2013). Hubungan pembagian dividen dengan kualitas laba: studi empiris perusahaan manufaktur yang terdaftar di bursa efek indonesia Tahun 2005 – 2009. Jurnal Universitas Indonesia, 1–25.

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    www.sahamok.com. (2019). Perusahaan non keuangan yang tercatat. Diakses pada 2019 dari website: https://www.sahamok.com

  1. Association of Certified Fraud Examiners. (2014). 2014 Global Fraud Study. Journal of Contemporary Physics, 49(5), 202–208. https://doi.org/10.3103/S106833721405003X
  2. Barua, S., & Saha, A. K. (2015). Traditional ratios vs . Cash flow based ratios?: which one is better traditional ratios vs . Cash flow based ratios?: which one is better performance indicator?? Economic and Business, 231–251. https://doi.org/10.13189/aeb.2015.030605
  3. Beasley, M. S., Carcello, J. V, Hermanson, D. R., & Lapides, P. D. (2000). Fraudulent financial reporting?: consideration of industry traits and corporate governance mechanisms. Accounting Horizons, 14(4), 441–454.
  4. Beneish, M. D. (1999). The detection of earnings manipulation messod d . Beneish * june 1999 comments welcome. Financial Analysts Journal, 5(June), 24–36.
  5. Gabric, D. (2018). Determination of accounting manipulations in the financial statements using accrual based investment ratios. Journal of Economics and Business, XVI(1), 71–81.
  6. Hutomo, O. S., & Sudarno. (2012). Cara mendeteksi fraudulent financial reporting dengan menggunakan rasio-rasio finansial ( Studi kasus perusahaan yang terdaftar di Annual Report BAPEPAM ). 1–28.
  7. Ikatan Akuntan Indonesia (IAI). (2015). “Pernyataan standar auditing (psa) no.70: pertimbangan atas kecurangan dalam audit laporan keuangan”. Jakarta: IAI.
  8. Indriantoro, N., & Bambang, S. (2002). Metodologi penelitian bisnis: untuk akuntansi dan manajemen. (1st ed.). Yogyakarta: BPFE UGM.
  9. Lou, Y., & Wang, M. (2009). Fraud risk factor of the fraud triangle assessing the likelihood of fraudulent financial reporting. Journal of Business & Economics Research, 7(2), 61–78.
  10. Megginson. (1997). Corporate Finance Theory. Addinson-Wesley Eductional Publisher Inc.
  11. Oktorina, M., & Hutagaol., Y. (2008). 2008. Analisis arus kas operasi dalam mendeteksi manipulasi aktivitas riil dan dampaknya terhadap kinerja pasar. Simposium Nasional Akuntansi, XI.
  12. Sirait, F., & Siregar, S. V. (2013). Hubungan pembagian dividen dengan kualitas laba: studi empiris perusahaan manufaktur yang terdaftar di bursa efek indonesia Tahun 2005 – 2009. Jurnal Universitas Indonesia, 1–25.
  13. Sugiyono. (2010). Metode penelitian kuantitatif kualitatif dan R&D. Bandung: Alfabeta.
  14. Tuanakotta, T. M. (2013). Audit berbasis isa (international standards on auditing). Jakarta: Salemba Empat.
  15. Vitarianjani, N. (2015). Prediksi kondisi financial distress dan faktor yang mempengaruhi studi empiris pada perusahaan batubara yang terdaftar di bursa efek indonesia tahun 2011-2014 Conditions of Financial Distress Prediction and Factors Affecting ( Empirical Study at Coal Comp. Indonesia.
  16. www.duniainvestasi.com/bei. (2019). Stock closing price. Diakses pada 2019 dari website: http://www.duniainvestasi.com/bei/
  17. www.idx.co.id. (2019). Laporan keuangan dan tahunan perusahaan tercatat. Diakses pada 2019 dari website: https://www.idx.co.id/
  18. www.sahamok.com. (2019). Perusahaan non keuangan yang tercatat. Diakses pada 2019 dari website: https://www.sahamok.com