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The study aims to explore how integrating recent fundamental values (RFVs) from conventional accounting studies enhances the accuracy of a machine learning (ML) model for predicting stock return movement in Indonesia.

The study uses multilayer perceptron (MLP) analysis, a deep learning model subset of the ML method. The model utilizes findings from conventional accounting studies from 2019 to 2021 and samples from 10 firms in the Indonesian stock market from September 2018 to August 2019.

Incorporating RFVs improves predictive accuracy in the MLP model, especially in long reporting data ranges. The accuracy of the RFVs is also higher than that of raw data and common accounting ratio inputs.

The study uses Indonesian firms as its sample. We believe our findings apply to other emerging Asian markets and add to the existing ML literature on stock prediction. Nevertheless, expanding to different samples could strengthen the results of this study.

Governments can regulate RFV-based artificial intelligence (AI) applications for stock prediction to enhance decision-making about stock investment. Also, practitioners, analysts and investors can be inspired to develop RFV-based AI tools.

Studies in the literature on ML-based stock prediction find limited use for fundamental values and mainly apply technical indicators. However, this study demonstrates that including RFV in the ML model improves investors’ decision-making and minimizes unethical data use and artificial intelligence-based fraud.

This study aims to investigate the role of negative media coverage of environmental, social and governance (ESG) issues in deterring tax avoidance. Inspired by media agenda-setting theory and legitimacy theory, this study hypothesises that an increase in ESG negative media coverage should cause a reputational drawback, leading companies to reduce tax avoidance to regain their legitimacy. Hence, this study examines a novel channel that links ESG and taxation.

This study uses panel regression analysis to examine the relationship between negative media coverage of ESG issues and tax avoidance among the largest European entities. This study considers different measures of tax avoidance and negative media coverage.

The results show that negative media coverage of ESG issues is negatively associated with tax avoidance, suggesting that media can act as an external monitor for corporate taxation.

The findings have implications for policymakers and regulators, which should consider tax transparency when dealing with ESG disclosure requirements. Tax disclosure should be integrated into ESG reporting.

The study has social implications related to the media, which act as watchdogs for firms’ irresponsible practices. According to this study’s findings, increased media pressure has the power to induce a better alignment between declared ESG policies and tax strategies.

This study contributes to the literature on the mechanisms that discourage tax avoidance and the literature on the relationship between ESG and taxation by shedding light on the role of media coverage.

There are variations in religious social norms and legal environments around the world. In this paper, we aim to examine the interaction between variations in religious social norms and legal environments on real activities manipulations and expense misclassification using a global sample of 63 countries. Our inquiry is motivated by a paucity of research on the interaction between legal environment and religion on earnings management practices in an international setting.

This study draws on a global sample of 63 countries to examine the effect of variations in religious social norms and legal environments on the trade-off between expense misclassification and real activities earnings management practices. Firm-specific financial data come from Global Compustat. Religion data are obtained from World Values Surveys of the World Bank. We obtain legal environment scores from the International Country Risk Guide.

Findings suggest that the interaction between law and religion serves as constraints on both classification shifting and real activities manipulation around the world. We find that religion strengthens the weak legal environment and the strong legal environment strengthens the weak religious environment to decrease both real activities manipulation and classification shifting when law and religion interact in an international setting. Therefore, our results contradict Zang's (2012) earnings management trade-off evidence. Again, our results contradict Malikov et al.’s (2018) evidence that mandatory International Financial Reporting Standards (IFRS) adoption is associated with increased real activities manipulation.

The study is limited to 63 countries limiting the generalizability of the findings.

This study provides novel evidence and shows that there is a link between law and religion. The interaction between law and religion decreases expense misclassification and real activities manipulation. We contribute that the interaction between religion and law benefits firms and increases shareholder value as real activities manipulation decreases. Therefore, strengthening the legal environment will complement religion, IFRS and other monitoring mechanisms put in place to mitigate unethical expense misclassification and real activities earnings manipulation around the world.