The Effect of Leverage, Profitability, Asset Composition, Liquidity, Capital Turnover, and Cash Flow on Fraudulent Financial Reporting

Anton Robiansyah, Eddy Suranta, Pratana Puspa Midiastuty, Fachruzzaman Fachruzzaman

Abstract


This study aimed to see if financial ratios and cash flow patterns affect fraudulent financial reporting. The Beneish M-Score and Altman Z-Score models are used in this study to classify companies that commit fraudulent financial reporting and those that do not commit fraudulent financial reporting. According to the findings of this study, leverage ratio, profitability, asset composition, liquidity, capital turnover, and cash flow pattern types 2,3,4, and 6 all impact fraudulent financial reporting. This study's implications include theoretical knowledge from signaling theory relevant to corporations' fraudulent financial reporting. These findings can be used as information material for investors to see the criteria for companies that do fraudulent financial reporting using financial ratios and cash flow patterns from operating, investing, and funding activities so that they can be considered in making investment decisions for investors and become a reference in further research

Keywords


Fraudulent Financial Reporting, Leverage, Asset Composition, Liquidity, Capital Turnover, Cash Flow Patterns

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References


Abelingga, D., Midiastuty, P. P., Suranta, E., dan Indriani, R. (2021). Deteksi Fraudulent Financial Reporting: Suatu Pendekatan Menggunakan Accrual Based Investment Ratio dan Cash Based Investment Ratio (Fraudulent Financial Reporting Detection : an Approach using Accrual-Based Investment Ratio and Cash-Based Investment. Jurnal Akuntansi, Keuangan, Dan Manajemen, 2(2), 115–128.

Abiahu, M. C., Egbunike, P. A., Udeh, F. N., Egbunike, F. C., & Amahalu, N. N. (2019). Corporate Life Cycle and Classification Shifting in Financial Statements : Evidence from Quoted Manufacturing Firms in Nigeria. Amity Business Review, 20(2), 75–91.

Adi, A. N., Baridwan, Z., & Mardiati, E. (2018). Profitability, Liquidity, Leverage and Corporate Governance Impact on Financial Statement Fraud and Financial Distress as Intervening Variable. Bulletin of Taras Shevchenko National University of Kyiv Economics, 200, 66–74. https://doi.org/10.17721/1728-2667.2018/200-5/9.

Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4), 589–609. https://doi.org/10.1111/j.1540-6261.1974.tb00057.x.

Alzoubi, T. (2019). Firms’ Life Cycle Stage and Cash Holding Decisions. Academy of Accounting and Financial Studies Journal, 23(1).

Arifin, M. B., & Prasetyo, A. B. (2018). Factors Influencing in the Fraudulent Financial Reporting. Jurnal Dinamika Akuntansi, 10(2), 99–112. https://doi.org/10.15294/jda.v10i2.15220.

Beneish, M. D. (1999). The Detection of Earnings Manipulation. Finance Analyst Journal, 55(5), 24–36.

Bhattacharya, Upal dan Amy Dittmar. (2001). Costless Versus Costly Signalling: Theory and Evidence from Share Repurchases. Journal of Finance.

Dalnial, H., Kamaluddin, A., Sanusi, Z. M., & Khairuddin, K. S. (2014). Accountability in Financial Reporting: Detecting Fraudulent Firms. Procedia - Social and Behavioral Sciences, 145, 61–69. https://doi.org/10.1016/j.sbspro.2014.06.011.

Dwi Maryadi, A., Puspa Midiastuty, P., Suranta, E., & Robiansyah, A. (2020). Pengaruh Fraud Pentagon dalam Mendeteksi Fraudulent Financial Reporting. Jurnal Akuntansi, Keuangan, Dan Manajemen, 2(1), 13–25. https://doi.org/10.35912/jakman.v2i1.104.

Emalia, D., Puspa Midiastuty, P., Suranta, E., & Indriani, R. (2020). Dampak dari Auditor Quality, Financial Stability, dan Financial Target terhadap Fraudulent Financial Reporting. Studi Ilmu Manajemen Dan Organisasi, 1(1), 1–11. https://doi.org/10.35912/simo.v1i1.21.

Ettredge, M., Scholz, S., Smith, K. R., & Sun, L. (2010). How do restatements begin? Evidence of earnings management preceding restated financial reports. Journal of Business Finance and Accounting, 37(3–4), 332–355. https://doi.org/10.1111/j.1468-5957.2010.02199.x.

Gentry, J. A., Newbold, P., & Whitford, D. T. (1990). Profiles of Cash Flow Components. Financial Analysts Journal, 46(4), 41–48. https://doi.org/10.2469/faj.v46.n4.41.

Gup, B. E., Samson, W. D., Dugan, M. T., Kim, M. J., & Jittrapanun, T. (1993). An Analysis of Patterns from the Statement of Cash Flows. Financial Practice and Education, 8.

Hastuti, T. D., Ghozali, I., & Yuyetta, E. N. A. (2017). The Effect of Company Life Cycles on the Accruals Earnings Management with Internal Control System as Moderating Variable. Polish Journal of Management Studies, 15(1), 66–75. https://doi.org/10.17512/pjms.2017.15.1.07.

Hastuti, S., & Hutama, P. S. P. (2010). Perbedaan Perilaku Earnings Management Berdasarkan Pada Perbedaan Life Cycle dan Ukuran Perusahaan. In Simposium Nasional Akuntansi XIII.

Horwath, C. (2011), Putting the Freud in Fraud: Why the Fraud Triangle Is No Longer Enough, IN Horwath, Crowe.

Indarto, S. L., & Ghozali, I. (2016). Fraud Diamond: Detection Analysis on The Fraudulent Financial Reporting. Risk Governance and Control: Financial Markets and Institutions, 6(4Continued1), 116–123. https://doi.org/10.22495/rcgv6i4c1art1.

Jantadej, P. (2006). Using The Combinations of Cash Flow Components to Predict Financial Distress. In A Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy (Issue August). University of Nebraska.

Kamarudin, K. A., Ismail, W. A. W., & Mustapha, W. A. H. W. (2012). Aggressive Financial Reporting and Corporate Fraud. Procedia - Social and Behavioral Sciences, 65(ICIBSoS), 638–643. https://doi.org/10.1016/j.sbspro.2012.11.177.

Kassem, R., & Higson, A. (2012). British University in Egypt Corresponding Author: Rasha Kassem. Journal of Emerging Trends in Economics and Management Sciences, Vol. 3(No. 3), 191–195.

Kordestani, G., Biglari, V., & Bakhtiari, M. (2011). Ability of Combinations of Cash Flow Components to Predict Financial Distress. Business: Theory and Practice, 12(3), 277–285. https://doi.org/10.3846/btp.2011.28.

Nia, S. H. (2015). Financial Ratios between Fraudulent and Non-Fraudulent Firms : Evidence from Tehran Stock Exchange. Journal of Accounting and Taxation, 7(3), 38–44. https://doi.org/10.5897/JAT2014.0166.

Prasetio, Y. W., Lasdi, L., & Tedjasuksmana, B. (2016). Perbedaan Perilaku manajemen Laba Akrual dan Riil: Analisis Berdasarkan Tahapan Siklus Hidup dan Ukuran Perusahaan. Jurnal Akuntansi Kontemporer, 8(2), 125–135.

Pribadi, A. R., Suranta, E., & Midiastuty, P. P. (2018). Rasio-Rasio Keuangan Dalam Memprediksi Kecurangan. ULTIMA Accounting, 10(1), 66–76.

Rezvani, A., Jamali, J., Khabirnia, A., & Chamangard, N. (2013). Comparison the Relationship between Stock Price and Earnings Quality in Firm’s، Life Cycle Stages. Life Science Journal, 10(1s), 330–335.

Sartono, Agus. (2011). Manajemen Keuangan Teori dan Aplikasi. Yogyakarta: BPFE.

Setiawati, E., & Baningrum, R. M. (2018). Deteksi Fraudulent Financial Reporting Menggunakan Analisis Fraud Pentagon: Studi Kasus Pada Perusahaan Manufaktur Yang Listed Di BEI Tahun 2014-2016. Riset Akuntansi Dan Keuangan Indonesia, 3(1953), 91–106.

Subramanyam, K.R dan John J. Wild (2013). Analisis Laporan Keuangan, Buku 2, Salemba Empat, Jakarta.

Spathis, C. T. (2002). Detecting False Financial Statements using Published Data: Some Evidence from Greece. Managerial Auditing Journal, 17(4), 179–191. https://doi.org/10.1108/02686900210424321.

Tuanakotta, T. (2013). Audit Berbasis ISA (International Standards on Auditing). Salemba Empat.

Widyanti, T., & Nuryatno, M. (2018). Analisis Rasio Keuangan Sebagai Deteksi Kecurangan Laporan Keuangan Perusahaan Barang Konsumsi yang Terdaftar di Bursa Efek Indonesia. Jurnal Akuntansi Dan Pendidikan, 7(1), 72–80.

Zainudin, E. F., & Hashim, H. A. (2016). Detecting Fraudulent Financial Reporting using Financial Ratio. Journal of Financial Reporting and Accounting, 14(2), 266–278. https://doi.org/10.1108/jfra-05-2015-0053.

https://economy.okezone.com/read/2019/06/28/320/2072245/kronologi-kasus-laporan-keuangan-garuda-indonesia-hingga-kena-sanksi




DOI: http://dx.doi.org/10.24042/al-mal.v4i01.16201

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