The leading cause of financial statement fraud (FFS) is a "poor tone" carried out by top parties. This study examines the effect of elements in Hexagon Fraud on FFS. This study uses logistic regression analysis and a random effect regression model. The data used are all non-financial companies in Indonesia in 2016-2020. We compare the accuracy of the M-score findings using the Overall Manipulation Index (OMI) approach. The results showed slightly different findings when FFS was measured using two different measurements. Rationalization is proven to affect the occurrence of FFS; both measured using the M-score and OMI. Stimulus and opportunity partially influence the occurrence of FFS. This study also demonstrates which elements in the financial statements are often used as a tool to perform FFS and finds evidence that DEPI is the item most frequently used to perform FFS. On the other hand, the sector that is indicated to conduct FFS often is the cyclical consumer sector.

This study analyzes a company’s financial condition on firm value. We also evaluated the difference in firm value between corporate sectors affected and unaffected by the COVID-19 pandemic. The regression analysis model used is the random effect model as well as the difference-in-difference technique. The study uses data from the company’s interim financial reports for the first and second quarters of 2018, 2019, and 2020. We found that firm size and leverage influence firm values. This applies to companies in the affected sectors, such as hotel, restaurant, and tourism sub-sectors, and unaffected sectors, such as health, pharmacy, and telecommunication sub-sectors. We also found that firm values in affected and unaffected sectors, before and during COVID-19, do not significantly differ. Keywords: COVID-19, financial condition, firm value

This study examines private university students in West Jakarta which aims to determine the effect of financial literacy and fintech payments on financial management behavior with internal locus of control as a moderator variable. The dependent variables used are financial literacy and fintech payments. The analysis of this study used multiple linear regression with SPSS 27 (Statistical Package for Social Science). The results of this study indicate that: (a) financial literacy influences financial management behavior; (b) fintech payments affect financial management behavior; (c) internal locus of control strengthens the relationship between financial literacy and financial management behavior; (d) the internal locus of control strengthens the relationship between fintech payments and financial management behavior. Keywords:financial literacy, fintech payments, financial management behavior, locus of control