The Role of Smart Actuarial Calculations in Improving the Quality of Financial Reports of the Iraqi Insurance Company

Authors

  • Zena Abdulstar Allayla Department of Accounting,College of Economics and Administration, University of Mosul, Mosul, Iraq.  
  • Waheed Mahmood Al-Ibrahimi Presidency of the University of Mosul, President of the University of Mosul, University of Mosul, Mosul, Iraq.

DOI:

https://doi.org/10.33095/s8mgkw79

Keywords:

Actuarial Calculations, Artificial Intelligence, Financial Reports, Quality of Financial Reports, Transparency.

Abstract

The research aims to explore the role of actuarial calculations supported by artificial intelligence technologies (smart actuarial calculations) in enhancing the accuracy and quality of financial reporting. Companies face challenges related to the accuracy, transparency, and speed of preparing financial reports, necessitating innovative solutions based on smart technologies. The research analyzed the literature and employed an exploratory methodology to study the impact of smart actuarial calculations on the integrity of financial reports. The association between the application of artificial intelligence and professional standards and their impact on the performance of insurance companies and financial reporting practices was also examined. The researchers concluded that smart actuarial calculations enhance the quality of financial reports by increasing accuracy and speed, providing comprehensive analyses, reducing costs, and increasing efficiency through the reduction of human errors and precise risk analysis. These calculations also enhance compliance with accounting standards, build shareholder and stakeholder confidence, and emphasize the importance of professional standards and actuarial guidelines to ensure the quality of work. The research recommended improving the utilization of artificial intelligence in developing actuarial calculations, providing continuous training for experts, adhering to professional standards to ensure transparency and reliability, and encouraging future studies to investigate the implications of smart technology in the accounting and insurance fields. This research contributes to accounting literature by providing insights into artificial intelligence's role in developing actuarial calculations and improving insurance sector performance.

Downloads

Download data is not yet available.

Author Biographies

  • Zena Abdulstar Allayla, Department of Accounting,College of Economics and Administration, University of Mosul, Mosul, Iraq.  

    Asst. Lec.

    Department of Accounting,College of Economics and Administration, University of Mosul, Mosul, Iraq.  

     

  • Waheed Mahmood Al-Ibrahimi, Presidency of the University of Mosul, President of the University of Mosul, University of Mosul, Mosul, Iraq.

    Prof. Dr.

    Presidency of the University of Mosul,

    President of the University of Mosul,

    University of Mosul, Mosul, Iraq.

     

References

Abass, Z. K., Flayyih, H. H., & Hasan, S. I. (2022). The relationship between audit services and non-audit actuarial services in the auditor’s report. International Journal of Professional Business Review, 7(2), e0455–e0455.

https://doi.org/https://doi.org/10.26668/businessreview/2022.v7i2.455.

Abdi, Y. A. (2024). The role of actuarial accounting in increasing the quality of accounting information: An analytical study of a sample of accountant’s opinions working in the Iraqi insurance companies. accounting in increasing the quality of accounting. Enterpreneurship Journal For Finance And Business, 5(1).

https://doi.org/https://doi.org/10.56967/ejfb2024380.

Al-Enezi, & Hussein. (2022). The Impact of Electronic Accounting Information Quality on Rationalizing Investors’ Decisions in the Kuwait Stock Exchange. The Scientific Journal for Financial and Administrative Studies and Research, 13(7), 1744–1778.

Al-Kadhy, K. M. (2023). The impact of the adoption of artificial intelligence systems techniques on the transparency of financial reports in the light of contemporary professional standards: An applied study. Scientific Journal for Financial and Commercial Studies and Research (SJFCSR), 4(2), 1007–1046. https://doi.org/10.21608/cfdj.2023.290313

Alcaide, D. C., & Gonçalves, R. A. H. (2023). Predicting Lapse Rate in Life Insurance: An Exploration of Machine Learning Techniques. Available at SSRN 4598527.

Alhawtmeh, O. M. (2023). The Impact of IFRS 17 on the Development of Accounting Measurement and Disclosure, in Addition to Improving the Quality of Financial Reports, Considering Compliance with the Requirements of IFRS 4—Jordanian Insurance Companies-Field Study. Sustainability, 15(11), 8612.

https://doi.org/https://doi.org/10.3390/su15118612.

Balona, C. (2024). ActuaryGPT: Applications of large language models to insurance and actuarial work. British Actuarial Journal, 29, e15.

https://doi.org/https://doi.org/10.1017/S1357321724000102

Baudry, M., & Robert, C. Y. (2017). Non-parametric individual claim reserving in insurance. Preprint.

Chang, V. Y. L. (2024). Technology investments and firm performance under the wave of InsurTech. The Geneva Papers on Risk and Insurance-Issues and Practice, 49(3), 501–536. https://doi.org/https://doi.org/10.1057/s41288-023-00286-w

Costa, M., Lisboa, I., & Gameiro, A. (2022). Is the financial report quality important in the default prediction? SME Portuguese construction sector evidence. Risks, 10(5), 98. https://doi.org/https://doi.org/10.3390/risks10050098

Dagunduro, M. E., Falana, G. A., Adewara, Y. M., & Busayo, T. O. (2023). Application of Artificial Intelligence and Audit Quality in Nigeria, Advances in Multidisciplinary and Scientific Research Journal Publication, pp. 39–56. intelligence and audit quality in Nigeria. Humanities, Management, Arts, Education & the Social Sciences Journal, 11(1), 39–56.

Davenport, T. H., & Kirby, J. (2016). Just how smart are smart machines? MIT Sloan Management Review, 57(3), 21.

Ding, K., Lev, B., Peng, X., Sun, T., & Vasarhelyi, M. A. (2020). Machine learning improves accounting estimates: Evidence from insurance payments. Review of Accounting Studies, 25(3), 1098–1134. https://doi.org/https://doi.org/10.1007/s11142-020-09546-9

Falana, G. A., Igbekoyi, O. E., & Dagunduro, M. E. (2023). Effect of big data on accounting information quality in selected firms in Nigeria. International Journal of Research and Innovation in Social Science, 7(3), 789–806. ttps://doi.org/https://doi.org/ 10.47772/IJRISS

Gentner, D., Stelzer, B., Ramosaj, B., & Brecht, L. (2018). Strategic foresight of future b2b customer opportunities through machine learning. Technology Innovation Management Review, 8(10), 5–17. https://doi.org/https://doi.org/10.22215/TIMREVIEW/1189.

Harris, R., Richman, R., & Wuthrich, M. V. (2024). Reflections on deep learning and the actuarial profession (al). Available at SSRN 4672447.

https://doi.org/https://dx.doi.org/10.2139/ssrn.4672447

Jameel, R. N. (2016). Actuarial accounting and its role in maximizing the value of the Economic Unit. Tikrit Journal of Administrative and Economic Sciences, 12(35).

Julia Kokina, C. P. A., & Stephen Kozlowski, C. P. A. (2016). The next frontier in data analytics. Journal of Accountancy, 222(2), 58.

Khaldia, B. (2015). Methods and Techniques for Measuring Insurance Premiums Using Actuarial Techniques – A Survey Study on a Sample of Life Insurance Companies in Algeria.

Khalid, W. E. O. (2020). Role of actuarial accounting in enhancing banks performance. Global Journal of Economics and Business, 9(2), 452–457.

https://doi.org/https://doi.org/10.31559/GJEB2020.9.2.16

Kiermayer, M. T. (2022). Machine and deep learning in present actuarial challenges. Universität Ulm.

Kokina, J., & Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115–122. https://doi.org/https://doi.org/10.2308/jeta-51730

Lior, A. (2021). Insuring AI: The role of insurance in artificial intelligence regulation. Harv. JL & Tech., 35, 467.

Lozano-Murcia, C., Romero, F. P., Serrano-Guerrero, J., & Olivas, J. A. (2023). A comparison between explainable machine learning methods for classification and regression problems in the actuarial context. Mathematics, 11(14), 3088.

https://doi.org/https://doi.org/10.3390/math11143088.

Mahohoho, B., Chimedza, C., Matarise, F., & Munyira, S. (2023). “Articial Intelligence Based Automated Actuarial Loss Reserving Model for the General Insurance Sector Loss Reserving Model for the General Insurance Sector”, pp. 0–29. Automated Actuarial Loss Reserving. https://doi.org/https://doi.org/10.21203/rs.3.rs-3124884/v1

Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267, 1–38.

https://doi.org/https://doi.org/10.1016/j.artint.2018.07.007

Odoh, L. C., Echefu, S. C., Ugwuanyi, U. B., & Chukwuani, N. V. (2018). Effect of artificial intelligence on the performance of accounting operations among accounting firms in South East Nigeria. Asian Journal of Economics, Business and Accounting, 7(2), 1–11. https://doi.org/https://doi.org/10.9734/AJEBA/2018/41641

Odomirok, K. C., McFarlane, L. M., FCIA, F., Kennedy, G. L., & Brenden, J. J. (2014). Financial reporting through the lens of a property/casualty actuary. Casualty Actuarial Society (CAS).

Pangaribuan, H., Sunarsi, D., Santoso, A., Wahyuni, E. S., & Yoewono, H. (2023). Quality Of Financial Statement And The Factors That Influence It. Jurnal Akuntansi, 27(1), 176–196. https://doi.org/https://doi.org/10.24912/ja.v27i1.1206

Sadowski, J. (2024). Sadowski, J. (2023) “Total life insurance: Logics of anticipatory control and actuarial governance in insurance technology”, Social Studies of Science, p. 03063127231186437 anticipatory control and actuarial governance in insurance technology. Social Studies of Science, 54(2), 231–256.

https://doi.org/https://doi.org/10.1177/03063127231186437

Samah, & El-Meihey. (2023). Measuring the Impact of IFRS 17 Implementation on the Financial Performance of Insurance Companies. The Scientific Journal of Financial and Administrative Studies and Research, 15(2), 1–32.

https://doi.org/https://doi.org/10.3390/su15118612.

Sibarani, A. G., Haloho, A. C. B., Purba, A. M., & Delliana, D. (2024). Analysis Of Implementation Of PSAK 74 In Insurance Companies In Indonesia. Prosiding Simposium Ilmiah Akuntansi, 1(1), 6–12. https://sia-iaikpd.fdaptsu.org/index.php/sia/article/view/12

Sreseli, N. (2023). Use of Artificial Intelligence for Accounting and Financial Reporting Purposes: A Review of the Key Issues. American International Journal of Business Management (AIJBM), 6(8), 72–83.

Szepesváry, L. (2022). THESIS BOOK, Informatics challenges in modern actuarial modelling: Quantitative methods and computer algorithms application in cash flow modelling and pricing [Doctoral School of Economics, Business and Informatics]. https://core.ac.uk/download/pdf/501039382.pdf

Tebaibia Salima. (2014). The Role of Insurance Companies’ Accounting in Decision-Making According to International Financial Reporting Standards (IFRS) – A Case Study of Algerian Insurance Companies. Université de Sétif 1-Ferhat Abbas.

Yeo, N., Lai, R., Ooi, M. J., & Liew, J. Y. (2019). Literature Review: Artificial Intelligence and Its Use in Actuarial Work. Actuarial Innovation & Technology, Society of Actuaries.

Yusrina, H., Mukhtaruddin, M., Fuadah, L. L., & Sulong, Z. (2017). International financial reporting standards convergence and quality of accounting information: Evidence from Indonesia’ International Journal of Economics and Financial Issues, 7(4), pp. 433–447. standards convergence and quali. International Journal of Economics and Financial Issues, 7(4), 433–447.

Published

2025-06-01

Issue

Section

Accounting Researches

How to Cite

Allayla, Z.A. and Al-Ibrahimi, W.M. (2025) “The Role of Smart Actuarial Calculations in Improving the Quality of Financial Reports of the Iraqi Insurance Company”, Journal of Economics and Administrative Sciences, 31(147), pp. 170–189. doi:10.33095/s8mgkw79.

Similar Articles

1-10 of 770

You may also start an advanced similarity search for this article.