EARNINGS MANAGEMENT AND PROBABILITY OF DEFAULT ANALYSIS OF NON-FINANCIAL COMPANIES IN INDONESIA DURING THE COVID-19 PANDEMIC

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Sherly Sherly
Arief Wibisono Lubis

Abstract

Pada masa pandemi COVID-19, ekonomi Indonesia mengalami pertumbuhan negatif 2,19 persen (2020). Kondisi ini mempengaruhi penurunan bisnis di Indonesia yang berdampak pada peningkatan Non Performing Loan perbankan. Umumnya, penilaian kredit oleh perbankan dilakukan menggunakan informasi yang terdapat pada laporan keuangan sehingga pencatatan akuntansi yang benar dapat mempengaruhi kualitas kredit. Penelitian ini bertujuan untuk mempelajari apakah manajemen laba (earnings management) yang dilakukan oleh perusahaan selama krisis pandemi COVID-19 memiliki pengaruh signifikan terhadap kemungkinan gagal bayar (probability of default), khususnya bagi perusahaan sektor non keuangan di Indonesia. Data penelitian diperoleh dari Bursa Efek Indonesia periode 2019 – 2021 dimana probability of default dihitung dengan menggunakan KMV-Merton Model dan earnings management menggunakan metode F-score Dechow. Hasil penelitian menunjukkan bahwa terdapat peningkatan jumlah perusahaan yang memiliki probabilitas default pada masa pandemi COVID-19, namun jumlah perusahaan yang terindikasi melakukan earnings management mengalami penurunan. Hasil uji menunjukan bahwa pengaruh earnings management terhadap probability of default tidak signifikan. Namun demikian, pihak yang berkepentingan harus dapat sedini mungkin mengidentifikasi adanya manajemen laba yang dapat berdampak buruk terhadap kualitas kredit dan mengantisipasi kemungkinan gagal bayar di kemudian hari.


 


During the COVID-19 pandemic, the Indonesian economy experienced negative growth of 2.19 percent (2020). This condition affects the decline in business in Indonesia, which impacts the increase in bank Non-Performing Loans. Generally, credit assessment by banks is performed based on the information figured in financial statements and therefore the accounting records can affect credit quality. This research aims to study whether earnings management carried out by companies during the COVID-19 pandemic crisis has a significant effect on the probability of default, especially for non-financial sector companies in Indonesia. The data was obtained from the Indonesia Stock Exchange for the period 2019 – 2021. The probability of default was calculated using the KMV-Merton Model and earnings management using the F-score Dechow method. The results showed that there was an increase in the number of companies that had a probability of default during the COVID-19 pandemic, but but the number of companies that indicated earnings management decreased. The result showed that the effect of earnings management on the probability of default is not significant. However, interested parties must be able to identify earnings management as early as possible, which can have an adverse impact on credit quality and anticipate possible defaults in the future.

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References

Aghghaleh, S. F., Mohamed, Z. M., & Rahmat, M. M. (2016). Detecting Financial Statement Frauds in Malaysia: Comparing the Abilities of Beneish and Dechow Models. Asian Journal of Accounting and Governance, 7, 57–65. https://doi.org/10.17576/ajag-2016-07-05

Agustia, D., Muhammad, N. P. A., & Permatasari, Y. (2020). Earnings management, business strategy, and bankruptcy risk: evidence from Indonesia. Heliyon, 6(2). https://doi.org/10.1016/j.heliyon.2020.e03317

Bharath, S. T., Shumway, T., Duffie, D., Ferson, W., Lundstedt, K., Singleton, K., & Sobehart, J. (2004). Forecasting Default with the KMV-Merton Model.

Bouteille, S., & Coogan-Pushner, D. (2015). The Handbook of Credit Risk Management. In The Handbook of Credit Risk Management. John Wiley & Sons, Inc. https://doi.org/10.1002/9781119203551.index

Canh, N. T., & Khoa, P. C. (2014). An Application of KMV Model to Forecast the Credit Risk of Corporate Customers and Bank’s Expected Losses. Journal of Economic Development, 22(1), 62–81.

Chen, Y., & Chu, G. (2014). Estimation of Default Risk Based on KMV Model—An Empirical Study for Chinese Real Estate Companies. Journal of Financial Risk Management, 03(02), 40–49. https://doi.org/10.4236/jfrm.2014.32005

Crosbie, P., & Bohn, J. (2003). Modeling Default Risk (Vol. 18). www.moodyskmv.com,

Dechow, P. M., Ge, W., Foster, M. G., Larson, C. R., Sloan, R. G., Balachandran, S., Chamberlain, S., Dichev, I., Jorgensen, B., Kinney, B.,

Marquardt, C., Pincus, M., & Shi, C. (2009). American Accounting Association meetings 2007, FARS 2008 meetings, and the University of NSW Ball and Brown Conference in Sydney. In Conference. http://ssrn.com/abstract=997483

Dechow, P. M., Ge, W., Foster, M. G., Larson, C. R., Sloan, R. G., Chamberlain, S., Dichev, I., Jorgensen, B., Kinney, B., Marquardt, C.,

Pincus, M., & Shi, C. (2011). Predicting Material Accounting Misstatements. Contemporary Accounting Research, 28(1), 17–82.

Healy, P. M., & Wahlen, J. M. (1998). A Review Of The Earnings Management Literature And Its Implications For Standard Setting.

Hugo, J. (2019). Efektivitas Model Beneish M-Score Dan Model F-Score Dalam Mendeteksi Kecurangan Laporan Keuangan. Jurnal Muara Ilmu Ekonomi Dan Bisnis, 3(1), 165. https://doi.org/10.24912/jmieb.v3i1.2296

Hunjra, A. I., Mehmood, A., Nguyen, H. P., & Tayachi, T. (2022). Do firm-specific risks affect bank performance? International Journal of Emerging Markets, 17(3), 664–682. https://doi.org/10.1108/IJOEM-04-2020-0329

Jiraporn, P., Miller, G. A., Yoon, S. S., & Kim, Y. S. (2008). Is earnings management opportunistic or beneficial? An agency theory perspective. International Review of Financial Analysis, 17(3), 622–634. https://doi.org/10.1016/j.irfa.2006.10.005

Kryzanowski, L., Liu, J., & Zhang, J. (2022). Effect of COVID-19 on non-performing loans in China. Finance Research Letters. https://doi.org/10.1016/j.frl.2022.103372

Li, Y., Li, X., Xiang, E., & Geri Djajadikerta, H. (2020). Financial distress, internal control, and earnings management: Evidence from China. Journal of Contemporary Accounting and Economics, 16(3). https://doi.org/10.1016/j.jcae.2020.100210

Malasari, D., Adam, M., Yuliani, & Hanafi, A. (2020). Financial ratios and probability of default by using the KMV-merton method in the non-financial sector listed on the Indonesia stock exchange. Finance: Theory and Practice, 24(1), 6–13. https://doi.org/10.26794/2587-5671-2020-24-1-6-13

Mehmood, A., & De Luca, F. (2023). How does non-interest income affect bank credit risk? Evidence before and during the COVID-19 pandemic. Finance Research Letters. https://doi.org/10.1016/j.frl.2023.103657

Naili, M., & Lahrichi, Y. (2022). Banks’ credit risk, systematic determinants and specific factors: recent evidence from emerging markets. Heliyon, 8(2). https://doi.org/10.1016/j.heliyon.2022.e08960

Otoritas Jasa Keuangan. (2020). Peraturan OJK Nomor 11 Tahun 2020.

Otoritas Jasa Keuangan. (2021). Mempercepat Pemulihan, Menjaga Stabilitas.

Ratmono, D., Darsono, D., & Cahyonowati, N. (2020). Financial Statement Fraud Detection With Beneish M-Score and Dechow F-Score Model: An Empirical Analysis of Fraud Pentagon Theory in Indonesia. International Journal of Financial Research, 11(6), 154. https://doi.org/10.5430/ijfr.v11n6p154

Resia, E. (2021, October 27). Menyelamatkan atau Mengubur Garuda Indonesia. https://www.djkn.kemenkeu.go.id/kpknl-pekanbaru/baca-artikel/14352/Menyelamatkan-atau-Mengubur-Garuda-Indonesia.html

Sugianto, D. (2019, July 26). Kronologi Laporan Keuangan Garuda, Dari Untung Jadi “Buntung”. Https://Finance.Detik.Com/Bursa-Dan-Valas/d-4640204/Kronologi-Laporan-Keuangan-Garuda-Dari-Untung-Jadi-Buntung. https://finance.detik.com/bursa-dan-valas/d-4640204/kronologi-laporan-keuangan-garuda-dari-untung-jadi-buntung

Sulistyanto, S. (2008). Manajemen Laba; Teori dan Model Empiris. PT Gramedia Widiasarana Indonesia.

Tudela, M., & Young, G. (2003). A Merton-model approach to assessing the default risk of UK public companies. SSRN Electronic Journal. www.bankofengland.co.uk/wp/index.html

van Greuning, H., & Bratanovic, S. B. (2020). Analyzing Banking Risk A Framework for Assessing Corporate Governance and Risk Management FOURTH EDITION.

Veganzones, D., Séverin, E., & Chlibi, S. (2023). Influence of earnings management on forecasting corporate failure. International Journal of Forecasting, 39(1), 123–143. https://doi.org/10.1016/j.ijforecast.2021.09.006

Wibowo, B. (2017). Metode Pengukuran Probabilitas Kebangkrutan Bank Dan Analisis Hubungannya Dengan Diversifikasi Sumber Pendapatan: Kasus Perbankan Indonesia.

Yusof, N. M., Alias, I. Q., Kassim, A. J. M., & Zaidi, F. L. N. M. (2021). Determining the credit score and credit rating of firms using the combination of KMV-merton model and financial ratios. Science and Technology Indonesia, 6(3), 105–112. https://doi.org/10.26554/sti.2021.6.3.105-112