Thesis Abstract

Abstract
The application of differential equations in financial mathematics has been a topic of interest due to its significant impact on financial modeling and decision-making processes. This thesis explores the utilization of differential equations in various financial scenarios to analyze, predict, and optimize financial outcomes. The study begins with an in-depth examination of the fundamental concepts of differential equations and their relevance to financial mathematics. Chapter One provides an introduction to the research topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The chapter sets the foundation for understanding the application of differential equations in financial mathematics. Chapter Two comprises a comprehensive literature review that explores existing research and theories related to the application of differential equations in financial mathematics. The review covers various financial models, methods, and applications that have utilized differential equations to solve complex financial problems. Chapter Three details the research methodology employed in this study, including the data collection process, analytical techniques, and mathematical models used to apply differential equations in financial scenarios. It discusses the steps taken to analyze financial data, formulate differential equations, and interpret the results for meaningful insights. Chapter Four presents a detailed discussion of the findings obtained through the application of differential equations in financial mathematics. The chapter highlights the practical implications of using differential equations to model financial systems, forecast market trends, and optimize investment strategies. Chapter Five offers a conclusion and summary of the thesis, emphasizing the significance of differential equations in financial mathematics and the potential for further research in this area. The study concludes with recommendations for future research directions and practical applications of differential equations in the field of financial mathematics. In conclusion, this thesis showcases the vital role of differential equations in enhancing financial decision-making processes and improving the accuracy of financial models. By applying differential equations to financial scenarios, researchers and practitioners can gain valuable insights into market dynamics, risk management, and investment strategies. This study contributes to the growing body of knowledge on the application of differential equations in financial mathematics, paving the way for innovative solutions in the financial industry.

Thesis Overview