Thesis Abstract

The abstract for the thesis on "Application of Artificial Intelligence in Financial Statement Analysis" is as follows The integration of artificial intelligence (AI) technologies in financial statement analysis has revolutionized the accounting industry by enhancing the efficiency and accuracy of financial data processing and interpretation. This thesis investigates the application of AI in analyzing financial statements to provide valuable insights for decision-making processes. The study aims to explore how AI algorithms can be used to automate the analysis of financial data, identify trends, detect anomalies, and predict future financial performance. Chapter 1 provides an introduction to the research topic, presents the background of the study, outlines the problem statement, objectives of the study, limitations, scope, significance, structure of the thesis, and definitions of key terms. Chapter 2 comprises a comprehensive literature review that examines existing research on AI applications in financial statement analysis, covering topics such as machine learning, neural networks, natural language processing, and data mining. Chapter 3 focuses on the research methodology, detailing the research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The chapter also discusses the AI tools and technologies utilized in the study and explains the rationale behind their selection. In Chapter 4, the findings of the study are presented and analyzed in detail. The results highlight the effectiveness of AI algorithms in analyzing financial statements, demonstrating their ability to improve accuracy, speed, and predictive capabilities compared to traditional methods. The chapter also discusses the implications of the findings for accounting practice, business decision-making, and future research directions. Chapter 5 concludes the thesis by summarizing the key findings, discussing their implications, and offering recommendations for practitioners and researchers. The conclusion highlights the potential of AI in transforming financial statement analysis and emphasizes the importance of continued research and development in this area. Overall, this thesis contributes to the growing body of knowledge on the application of AI in financial statement analysis, offering insights into the benefits, challenges, and opportunities associated with adopting AI technologies in accounting practices. The findings of this study have implications for accounting professionals, business leaders, policymakers, and researchers interested in leveraging AI for financial analysis and decision-making processes.

Thesis Overview