Analysis of the influence of fraud hexagon on fraudulent financial statement, prediction of corporate bankruptcy, and corporate health (Case study on a registered consumer non-cyclical company on the Indonesian Stock Exchange Period 2017-2022)

Abstract

This research aims to examine the influence of the fraud hexagon on fraudulent financial statements, prediction of corporate bankruptcy, and corporate health through macroeconomics as intervening. The data for this research are 30 consumer non-cyclical companies on the Indonesian Stock Exchange period 2017-2022. This research uses descriptive statistics and inferential statistics via Smart PLS 3 software. Financial reports play an important part in making decisions that have economic value. Every company will try to provide the best in its business. Managers have an interest in making financial reports. Financial reports should display actual data and comply with applicable regulations. There are several models used to detect fraudulent financial statements, prediction of corporate bankruptcy, and corporate health.  The models used are fraud hexagon, beneish m-score, dechow f-score, OMI, altman z-score, grover g-score, springate s-score, zmijewski x-score, and financial ratio analysis.The results of this research are fraud hexagon influences corporate health, prediction of corporate bankruptcy, corporate health, macroeconomics, fraudulent financial statements through macroeconomics, prediction of corporate bankruptcy through macroeconomics, and corporate health through macroeconomics.