How to Detect Financial Shenanigans?: Evidence From the Healthcare Sector in Indonesia
Keywords:
Financial Shenanigans, Detection, Covid-19, Healthcare companyAbstract
This research aims to empirically test the ability of financial ratios to detect financial shenanigans during the Covid-19 pandemic. The objects of this research are healthcare companies listed on the Indonesia Stock Exchange (IDX) between 2017 and 2022. The research sample consisted of 72 financial report data. The data analysis technique uses logistic regression with IMB SPSS 25 statistical tool. Detection proxies use return on assets (ROA), revenues quality ratio (RQR) and Real Earnings Management (REM). The proxies for financial shenanigans are the Beneish M-score model and the Dechow F-score model. The results of this research are (1) ROA is significant for F score, (2) RQR is significant for F score, (3) REM is significant for M score. The main conclusion of This research is that financial ratios help detect financial shenanigans that occurred during the Covid-19 pandemic.
References
Alkhyyoon, H., Abbaszadeh, M. R., & Zadeh, F. N. (2023). Organizational Risk Management and Performance from the Perspective of Fraud: A Comparative Study in Iraq, Iran, and Saudi Arabia. Journal of Risk and Financial Management, 16(3), 205. https://doi.org/10.3390/jrfm16030205
Dechow, P. M., Ak, B. K., Sun, E. Y., & Wang, A. Y. (2013). Do Financial Ratio Models Help Investors Better Predict and Interpret Significant Corporate Events ? Australian Journal of Management.
Devi, S., Warasniasih, N. M. S., & Masdiantini, P. R. (2020). The Impact of COVID-19 Pandemic on the Financial Performance of Firms on the Indonesia Stock Exchange. Journal of Economics, Business, & Accountancy Ventura, 23(2). https://doi.org/10.14414/jebav.v23i2.2313
ICW. (2023). Laporan Hasil Pemantauan Tren Penindakan Kasus Korupsi Tahun 2022 Penulis : Diky Anandya Lalola Easter.
Narsa, N. P. D. R. H., Afifa, L. M. E., & Wardhaningrum, O. A. (2023). Fraud triangle and earnings management based on the modified M-score: A study on manufacturing company in Indonesia. Heliyon, 9(2), e13649. https://doi.org/10.1016/j.heliyon.2023.e13649
Rababah, A., Al-Haddad, L., Sial, M. S., Chunmei, Z., & Cherian, J. (2020). Analyzing the effects of COVID-19 pandemic on the financial performance of Chinese listed companies. Journal of Public Affairs, 20(4). https://doi.org/10.1002/pa.2440
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
Schilit, H. M., Perler, J., & Englehart, Y. (2018). Financial Shenanigans : How to Detect Accounting Gimmicks and Fraud in Financial Reports. In The McGraw-Hill Companies, Inc.
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