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on Accounting and Auditing |
| By: | Zahid, Haider; Ali, Amjad; Audi, Marc |
| Abstract: | This study explores how cryptocurrency regulation influences corporate financial reporting across multiple jurisdictions from 2016 to 2022, examining how differing laws alter managerial incentives and assurance processes. Disclosure behaviour in strictly regulated and moderately regulated settings is compared with evidence from 20 firms operating in 10 countries. Ordinary least squares regression and thematic coding provide convergent evidence. OLS regression controls for jurisdictional grouping and sectoral variation are applied. The analysis finds that tougher regimes are associated with greater transparency, more consistent cryptocurrency valuation, and richer risk disclosure. These benefits are most pronounced where proactive regulators exercise strong public financial oversight. Conversely, firms operating under vague or lax regimes exhibit fragmented disclosure and limited comparability. The inquiry also highlights systemic shortcomings, including inconsistent accounting classification of cryptocurrency, the absence of a single impairment rule, and a lack of unified reporting norms. Such deficiencies hinder investors, regulators, and auditors in assessing financial positions and risk exposure. Stakeholder theory highlights accountability pressures, legitimacy theory explains symbolic responses, and systems theory situates disclosure within broader institutional ecosystems, showing how regulatory contexts shape organisational strategy and reporting conventions. The research concludes by urging international harmonisation of accounting standards and sector-specific disclosure guidance to secure transparency and comparability within the expanding digital asset economy. This implies that policymakers should prioritize regulatory clarity to improve global disclosure comparability. |
| Keywords: | Cryptocurrency Regulation, Financial Reporting, Disclosure Quality, FinTech |
| JEL: | G0 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:127482 |
| By: | Miroslav Serafimoski (Deutsche Telekom Services Europe (DTSE) Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia) |
| Abstract: | This paper analyses the classification of foreign exchange differences arising from intragroup monetary items under IFRS 18 Presentation and Disclosure in Financial Statements. IFRS 18 introduces a new structure for the statement of profit or loss, requiring income and expenses to be classified into operating, investing, financing, and other specified categories, with paragraph B65 mandating that foreign exchange differences be classified consistently with the income and expenses of the underlying item. So, the aim of this paper is to analyze and make a recommendation on how the foreign exchange differences from intragroup transactions will be classified in the IFRS18 structure of the Statement of Profit and Loss. However, intragroup income and expenses are eliminated under IFRS 10, while IAS 21 requires exchange differences on intragroup monetary items to remain recognized in consolidated profit or loss — creating a classification challenge. The paper evaluates five theoretical options and explains why the IFRS Interpretations Committee rejected Options 2, 3, and 5. The analysis concludes that only two classification outcomes are acceptable: (i) Option 1 — classify in the same category as the underlying intragroup income or expense would have been classified if not eliminated, or (ii) Option 4 — default to the operating category if that cannot be determined without undue cost or effort. Given that Option 1 relies on interpretative reasoning rather than explicit IFRS 18 requirements, this paper argues that, under the standard’s current wording, the operating category is likely to become the prevailing classification in practice. The paper highlights the need for further clarification by the standard-setter to avoid future inconsistency across reporting entities and preserve IFRS 18’s objective of enhanced transparency and comparability. |
| Keywords: | IFRS18, Exchange differences classification, Operating, financing and investing category; Profit and loss statement structure; Accounting presentation |
| JEL: | M41 |
| Date: | 2025–12–15 |
| URL: | https://d.repec.org/n?u=RePEc:aoh:conpro:2025:i:6:p:348-355 |
| By: | Housseni Wague (ESCA Ecole de Management, Morocco); Azzeddine Allioui (ESCA Ecole de Management, Morocco) |
| Abstract: | The financial audit landscape is changing rapidly, driven by globalization, technological innovation, and the growth of financial data. Traditional auditing methods are struggling to keep pace with this growing complexity, driving the need for a more efficient and accurate approach. Artificial intelligence (AI) plays a crucial role in addressing these challenges. This analysis explores the varied impact of AI on financial auditing, highlighting trends, challenges, and opportunities. By examining academic studies, empirical research and real-life cases, this article reveals significant transformations brought about by AI in financial auditing. Its integration does not simply replace human expertise but offers synergistic collaboration. AI enables auditors to extract deep insights from financial data, highlighting risks and promoting transparency in organizations. As the financial world moves towards digitalization, the partnership between human auditors and AI promises to profoundly reshape the future of financial auditing. |
| Keywords: | artificial intelligence, financial auditing, financial data analysis, audit risk, data management, financial regulation |
| Date: | 2025–08 |
| URL: | https://d.repec.org/n?u=RePEc:smo:raiswp:0572 |
| By: | Ivan Dionisijev (Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia); Zorica Bozhinovska Lazarevska (Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia); Todor Tocev (Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia) |
| Abstract: | This study examines the integration of artificial intelligence (AI) in public sector internal auditing, focusing on the extent of AI adoption, the types of AI tools used, and the challenges faced by auditors in implementation. The research employs both descriptive statistical analysis and inferential techniques, including Spearman’s correlation and ANOVA, to assess the relationships between AI adoption and institutional factors. Findings indicate that while data analytics is the most commonly used AI tool, a significant proportion of respondents do not utilize AI in their auditing practices. The primary barriers to AI adoption include a lack of training, high costs, and concerns regarding data privacy. The study further reveals that AI usage varies depending on the type of institution in which they work. These insights contribute to the ongoing discussion on digital transformation in auditing, emphasizing the need for enhanced training programs and strategic investments to facilitate AI integration. |
| Keywords: | Internal auditing, Accounting information, Artificial Intelligence (AI), Public sector |
| JEL: | M42 H83 |
| Date: | 2025–12–15 |
| URL: | https://d.repec.org/n?u=RePEc:aoh:conpro:2025:i:6:p:22-45 |
| By: | Aya Ouchene (ESCA Ecole de Management, Morocco); Azzeddine Allioui (ESCA Ecole de Management, Morocco) |
| Abstract: | This paper discussеs thе tоpic оf tаx frаud аnd prеsеnts sоlutiоns tо hеlp businеssеs cоmply with rеgulаtiоns. Tаx frаud cаn tаkе vаriоus fоrms, such аs undеrrеpоrting incоmе, mаnipulаting invоicеs, VРT frаud, аnd intеrnаtiоnаl tаx еvаsiоn. Thеsе illеgаl prаcticеs cаn hаvе sеvеrе cоnsеquеncеs, bоth fоr businеssеs аnd fоr public finаncеs. By еxplоring thеsе typеs оf frаud, thе study highlights thе criticаl rоlе оf tаx аdvisоrs in idеntifying incоnsistеnciеs аnd аssеssing risks. It аlsо prоpоsеs rеcоmmеndаtiоns tо strеngthеn cоmpliаncе, such аs еnhаncing intеrnаl cоntrоls, imprоving thе prоcеss fоr vеrifying suppliеrs, аnd using аdvаncеd tеchnоlоgiеs tо dеtеct suspiciоus аctivitiеs. Thе paper thеn еxаminеs thе impаct оf VРT withhоlding, а mеаsurе thаt cаn hеlp prеvеnt tаx frаud. By аdоpting thеsе аpprоаchеs, businеssеs cаn rеducе thе risk оf cоstly pеnаltiеs аnd еstаblish strоng rеlаtiоnships with tаx аuthоritiеs. |
| Keywords: | tax fraud, compliance, VAT fraud, internal controls, tax advisors, advanced technologies |
| Date: | 2025–08 |
| URL: | https://d.repec.org/n?u=RePEc:smo:raiswp:0557 |
| By: | Nguyen, Hang T. T. |
| Abstract: | This paper investigates the relationship between corporate income tax rates (CITR) and firm-level productivity growth using AMADEUS data of 304, 410 observations from 79, 842 European firms from 2006 to 2019. The results imply a robust non-linear relationship: higher CITRs are positively associated with productivity growth for high-productivity firms near the technological frontier and negatively associated with the productivity catch-up of less productive firms. Heterogeneity tests suggest a stronger productivity response to tax rate changes of small and medium-sized enterprises (SMEs) and domestic firms, while I do not find a significant productivity response to tax rate changes for large and multinational firms. The main findings are robust across various productivity estimation methods and model specifications and challenge the conventional view that higher business tax rates have a linear and negative effect on productivity growth. The paper contributes to the ongoing debate about the role of corporate taxation in shaping economic competitiveness and long-term growth. |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:arqudp:335901 |
| By: | Makoto Hasegawa (Graduate School of Economics, Kyoto University); Takafumi Kawakubo (Osaka School of International Public Policy, the University of Osaka); Takafumi Suzuki (Faculty of Business, Aichi Shukutoku University); Masayoshi Hayashi (Faculty of Economics, the University of Tokyo) |
| Abstract: | Using Japanese firm-level customs data from 2014 to 2019, we investigate profit shifting through transfer pricing by Japanese multinational corporations. We find that Japanese firms reduce related-party export prices relative to arm's-length prices as the tax differentials between Japan and destination countries widen, indicating tax-motivated transfer pricing. The responsiveness of related-party prices to these taxdifferentials is, on average, smaller than that reported in previous studies but varies depending on transaction characteristics. Specifically, transfer mispricing is more pronounced in transactions involving larger parent-affiliate pairs and products that are exported less frequently. We also examine the impact of the country-by-country reporting (CbCR) system, introduced in Japan in 2016, and find no evidence that it reduced transfer mispricing by Japanese multinationals subject to CbCR. |
| Date: | 2026–01 |
| URL: | https://d.repec.org/n?u=RePEc:tky:fseres:2026cf1266 |